Quiet planting in the locked constraints satisfaction problems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zdeborova, Lenka; Krzakala, Florent

2009-01-01

We study the planted ensemble of locked constraint satisfaction problems. We describe the connection between the random and planted ensembles. The use of the cavity method is combined with arguments from reconstruction on trees and first and second moment considerations; in particular the connection with the reconstruction on trees appears to be crucial. Our main result is the location of the hard region in the planted ensemble, thus providing hard satisfiable benchmarks. In a part of that hard region instances have with high probability a single satisfying assignment.

An Algorithm for Interactive Modeling of Space-Transportation Engine Simulations: A Constraint Satisfaction Approach

NASA Technical Reports Server (NTRS)

Mitra, Debasis; Thomas, Ajai; Hemminger, Joseph; Sakowski, Barbara

2001-01-01

In this research we have developed an algorithm for the purpose of constraint processing by utilizing relational algebraic operators. Van Beek and others have investigated in the past this type of constraint processing from within a relational algebraic framework, producing some unique results. Apart from providing new theoretical angles, this approach also gives the opportunity to use the existing efficient implementations of relational database management systems as the underlying data structures for any relevant algorithm. Our algorithm here enhances that framework. The algorithm is quite general in its current form. Weak heuristics (like forward checking) developed within the Constraint-satisfaction problem (CSP) area could be also plugged easily within this algorithm for further enhancements of efficiency. The algorithm as developed here is targeted toward a component-oriented modeling problem that we are currently working on, namely, the problem of interactive modeling for batch-simulation of engineering systems (IMBSES). However, it could be adopted for many other CSP problems as well. The research addresses the algorithm and many aspects of the problem IMBSES that we are currently handling.

Minimizing conflicts: A heuristic repair method for constraint-satisfaction and scheduling problems

NASA Technical Reports Server (NTRS)

Minton, Steve; Johnston, Mark; Philips, Andrew; Laird, Phil

1992-01-01

This paper describes a simple heuristic approach to solving large-scale constraint satisfaction and scheduling problems. In this approach one starts with an inconsistent assignment for a set of variables and searches through the space of possible repairs. The search can be guided by a value-ordering heuristic, the min-conflicts heuristic, that attempts to minimize the number of constraint violations after each step. The heuristic can be used with a variety of different search strategies. We demonstrate empirically that on the n-queens problem, a technique based on this approach performs orders of magnitude better than traditional backtracking techniques. We also describe a scheduling application where the approach has been used successfully. A theoretical analysis is presented both to explain why this method works well on certain types of problems and to predict when it is likely to be most effective.

Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.

PubMed

Ortiz-Bayliss, José Carlos; Amaya, Ivan; Conant-Pablos, Santiago Enrique; Terashima-Marín, Hugo

2018-01-01

When solving constraint satisfaction problems (CSPs), it is a common practice to rely on heuristics to decide which variable should be instantiated at each stage of the search. But, this ordering influences the search cost. Even so, and to the best of our knowledge, no earlier work has dealt with how first variable orderings affect the overall cost. In this paper, we explore the cost of finding high-quality orderings of variables within constraint satisfaction problems. We also study differences among the orderings produced by some commonly used heuristics and the way bad first decisions affect the search cost. One of the most important findings of this work confirms the paramount importance of first decisions. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. We propose a simple method to improve early decisions of heuristics. By using it, performance of heuristics increases.

Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems

PubMed Central

Amaya, Ivan

2018-01-01

When solving constraint satisfaction problems (CSPs), it is a common practice to rely on heuristics to decide which variable should be instantiated at each stage of the search. But, this ordering influences the search cost. Even so, and to the best of our knowledge, no earlier work has dealt with how first variable orderings affect the overall cost. In this paper, we explore the cost of finding high-quality orderings of variables within constraint satisfaction problems. We also study differences among the orderings produced by some commonly used heuristics and the way bad first decisions affect the search cost. One of the most important findings of this work confirms the paramount importance of first decisions. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. We propose a simple method to improve early decisions of heuristics. By using it, performance of heuristics increases. PMID:29681923

A multiagent evolutionary algorithm for constraint satisfaction problems.

PubMed

Liu, Jing; Zhong, Weicai; Jiao, Licheng

2006-02-01

With the intrinsic properties of constraint satisfaction problems (CSPs) in mind, we divide CSPs into two types, namely, permutation CSPs and nonpermutation CSPs. According to their characteristics, several behaviors are designed for agents by making use of the ability of agents to sense and act on the environment. These behaviors are controlled by means of evolution, so that the multiagent evolutionary algorithm for constraint satisfaction problems (MAEA-CSPs) results. To overcome the disadvantages of the general encoding methods, the minimum conflict encoding is also proposed. Theoretical analyzes show that MAEA-CSPs has a linear space complexity and converges to the global optimum. The first part of the experiments uses 250 benchmark binary CSPs and 79 graph coloring problems from the DIMACS challenge to test the performance of MAEA-CSPs for nonpermutation CSPs. MAEA-CSPs is compared with six well-defined algorithms and the effect of the parameters is analyzed systematically. The second part of the experiments uses a classical CSP, n-queen problems, and a more practical case, job-shop scheduling problems (JSPs), to test the performance of MAEA-CSPs for permutation CSPs. The scalability of MAEA-CSPs along n for n-queen problems is studied with great care. The results show that MAEA-CSPs achieves good performance when n increases from 10(4) to 10(7), and has a linear time complexity. Even for 10(7)-queen problems, MAEA-CSPs finds the solutions by only 150 seconds. For JSPs, 59 benchmark problems are used, and good performance is also obtained.

Analog Approach to Constraint Satisfaction Enabled by Spin Orbit Torque Magnetic Tunnel Junctions.

PubMed

Wijesinghe, Parami; Liyanagedera, Chamika; Roy, Kaushik

2018-05-02

Boolean satisfiability (k-SAT) is an NP-complete (k ≥ 3) problem that constitute one of the hardest classes of constraint satisfaction problems. In this work, we provide a proof of concept hardware based analog k-SAT solver, that is built using Magnetic Tunnel Junctions (MTJs). The inherent physics of MTJs, enhanced by device level modifications, is harnessed here to emulate the intricate dynamics of an analog satisfiability (SAT) solver. In the presence of thermal noise, the MTJ based system can successfully solve Boolean satisfiability problems. Most importantly, our results exhibit that, the proposed MTJ based hardware SAT solver is capable of finding a solution to a significant fraction (at least 85%) of hard 3-SAT problems, within a time that has a polynomial relationship with the number of variables(<50).

An integrated model to measure service management and physical constraints' effect on food consumption in assisted-living facilities.

PubMed

Huang, Hui-Chun; Shanklin, Carol W

2008-05-01

The United States is experiencing remarkable growth in the elderly population, which provides both opportunities and challenges for assisted-living facilities. The objective of this study was to explore how service management influences residents' actual food consumption in assisted-living facilities. Physical factors influencing residents' service evaluation and food consumption also were investigated. A total of 394 questionnaires were distributed to assisted-living residents in seven randomly selected facilities. The questionnaire was developed based on an in-depth literature review and pilot study. Residents' perceived quality evaluations, satisfaction, and physical constraints were measured. Residents' actual food consumption was measured using a plate waste technique. A total of 118 residents in five facilities completed both questionnaires and food consumption assessments. Descriptive, multivariate analyses and structural equation modeling techniques were employed. Service management, including food and service quality and customer satisfaction, was found to significantly influence residents' food consumption. Physical constraints associated with aging, including a decline in health status, chewing problems, sensory loss, and functional disability, also significantly influenced residents' food consumption. A significant relationship was found between physical constraints and customer satisfaction. Foodservice that provides good food and service quality increases customer satisfaction and affects residents' actual food consumption. Physical constraints also influence residents' food consumption directly, or indirectly through satisfaction. The findings suggest that food and nutrition professionals in assisted-living should consider the physical profiles of their residents to enhance residents' satisfaction and nutrient intake. Recommendations for exploring residents' perspectives are discussed.

On Reformulating Planning as Dynamic Constraint Satisfaction

NASA Technical Reports Server (NTRS)

Frank, Jeremy; Jonsson, Ari K.; Morris, Paul; Koga, Dennis (Technical Monitor)

2000-01-01

In recent years, researchers have reformulated STRIPS planning problems as SAT problems or CSPs. In this paper, we discuss the Constraint-Based Interval Planning (CBIP) paradigm, which can represent planning problems incorporating interval time and resources. We describe how to reformulate mutual exclusion constraints for a CBIP-based system, the Extendible Uniform Remote Operations Planner Architecture (EUROPA). We show that reformulations involving dynamic variable domains restrict the algorithms which can be used to solve the resulting DCSP. We present an alternative formulation which does not employ dynamic domains, and describe the relative merits of the different reformulations.

Approximation, abstraction and decomposition in search and optimization

NASA Technical Reports Server (NTRS)

Ellman, Thomas

1992-01-01

In this paper, I discuss four different areas of my research. One portion of my research has focused on automatic synthesis of search control heuristics for constraint satisfaction problems (CSPs). I have developed techniques for automatically synthesizing two types of heuristics for CSPs: Filtering functions are used to remove portions of a search space from consideration. Another portion of my research is focused on automatic synthesis of hierarchic algorithms for solving constraint satisfaction problems (CSPs). I have developed a technique for constructing hierarchic problem solvers based on numeric interval algebra. Another portion of my research is focused on automatic decomposition of design optimization problems. We are using the design of racing yacht hulls as a testbed domain for this research. Decomposition is especially important in the design of complex physical shapes such as yacht hulls. Another portion of my research is focused on intelligent model selection in design optimization. The model selection problem results from the difficulty of using exact models to analyze the performance of candidate designs.

Learning in stochastic neural networks for constraint satisfaction problems

NASA Technical Reports Server (NTRS)

Johnston, Mark D.; Adorf, Hans-Martin

1989-01-01

Researchers describe a newly-developed artificial neural network algorithm for solving constraint satisfaction problems (CSPs) which includes a learning component that can significantly improve the performance of the network from run to run. The network, referred to as the Guarded Discrete Stochastic (GDS) network, is based on the discrete Hopfield network but differs from it primarily in that auxiliary networks (guards) are asymmetrically coupled to the main network to enforce certain types of constraints. Although the presence of asymmetric connections implies that the network may not converge, it was found that, for certain classes of problems, the network often quickly converges to find satisfactory solutions when they exist. The network can run efficiently on serial machines and can find solutions to very large problems (e.g., N-queens for N as large as 1024). One advantage of the network architecture is that network connection strengths need not be instantiated when the network is established: they are needed only when a participating neural element transitions from off to on. They have exploited this feature to devise a learning algorithm, based on consistency techniques for discrete CSPs, that updates the network biases and connection strengths and thus improves the network performance.

Quantum Resonance Approach to Combinatorial Optimization

NASA Technical Reports Server (NTRS)

Zak, Michail

1997-01-01

It is shown that quantum resonance can be used for combinatorial optimization. The advantage of the approach is in independence of the computing time upon the dimensionality of the problem. As an example, the solution to a constraint satisfaction problem of exponential complexity is demonstrated.

Constraint monitoring in TOSCA

NASA Technical Reports Server (NTRS)

Beck, Howard

1992-01-01

The Job-Shop Scheduling Problem (JSSP) deals with the allocation of resources over time to factory operations. Allocations are subject to various constraints (e.g., production precedence relationships, factory capacity constraints, and limits on the allowable number of machine setups) which must be satisfied for a schedule to be valid. The identification of constraint violations and the monitoring of constraint threats plays a vital role in schedule generation in terms of the following: (1) directing the scheduling process; and (2) informing scheduling decisions. This paper describes a general mechanism for identifying constraint violations and monitoring threats to the satisfaction of constraints throughout schedule generation.

Empirical results on scheduling and dynamic backtracking

NASA Technical Reports Server (NTRS)

Boddy, Mark S.; Goldman, Robert P.

1994-01-01

At the Honeywell Technology Center (HTC), we have been working on a scheduling problem related to commercial avionics. This application is large, complex, and hard to solve. To be a little more concrete: 'large' means almost 20,000 activities, 'complex' means several activity types, periodic behavior, and assorted types of temporal constraints, and 'hard to solve' means that we have been unable to eliminate backtracking through the use of search heuristics. At this point, we can generate solutions, where solutions exist, or report failure and sometimes why the system failed. To the best of our knowledge, this is among the largest and most complex scheduling problems to have been solved as a constraint satisfaction problem, at least that has appeared in the published literature. This abstract is a preliminary report on what we have done and how. In the next section, we present our approach to treating scheduling as a constraint satisfaction problem. The following sections present the application in more detail and describe how we solve scheduling problems in the application domain. The implemented system makes use of Ginsberg's Dynamic Backtracking algorithm, with some minor extensions to improve its utility for scheduling. We describe those extensions and the performance of the resulting system. The paper concludes with some general remarks, open questions and plans for future work.

Cooperating knowledge-based systems

NASA Technical Reports Server (NTRS)

Feigenbaum, Edward A.; Buchanan, Bruce G.

1988-01-01

This final report covers work performed under Contract NCC2-220 between NASA Ames Research Center and the Knowledge Systems Laboratory, Stanford University. The period of research was from March 1, 1987 to February 29, 1988. Topics covered were as follows: (1) concurrent architectures for knowledge-based systems; (2) methods for the solution of geometric constraint satisfaction problems, and (3) reasoning under uncertainty. The research in concurrent architectures was co-funded by DARPA, as part of that agency's Strategic Computing Program. The research has been in progress since 1985, under DARPA and NASA sponsorship. The research in geometric constraint satisfaction has been done in the context of a particular application, that of determining the 3-D structure of complex protein molecules, using the constraints inferred from NMR measurements.

Balancing antagonistic time and resource utilization constraints in over-subscribed scheduling problems

NASA Technical Reports Server (NTRS)

Smith, Stephen F.; Pathak, Dhiraj K.

1991-01-01

In this paper, we report work aimed at applying concepts of constraint-based problem structuring and multi-perspective scheduling to an over-subscribed scheduling problem. Previous research has demonstrated the utility of these concepts as a means for effectively balancing conflicting objectives in constraint-relaxable scheduling problems, and our goal here is to provide evidence of their similar potential in the context of HST observation scheduling. To this end, we define and experimentally assess the performance of two time-bounded heuristic scheduling strategies in balancing the tradeoff between resource setup time minimization and satisfaction of absolute time constraints. The first strategy considered is motivated by dispatch-based manufacturing scheduling research, and employs a problem decomposition that concentrates local search on minimizing resource idle time due to setup activities. The second is motivated by research in opportunistic scheduling and advocates a problem decomposition that focuses attention on the goal activities that have the tightest temporal constraints. Analysis of experimental results gives evidence of differential superiority on the part of each strategy in different problem solving circumstances. A composite strategy based on recognition of characteristics of the current problem solving state is then defined and tested to illustrate the potential benefits of constraint-based problem structuring and multi-perspective scheduling in over-subscribe scheduling problems.

Predit: A temporal predictive framework for scheduling systems

NASA Technical Reports Server (NTRS)

Paolucci, E.; Patriarca, E.; Sem, M.; Gini, G.

1992-01-01

Scheduling can be formalized as a Constraint Satisfaction Problem (CSP). Within this framework activities belonging to a plan are interconnected via temporal constraints that account for slack among them. Temporal representation must include methods for constraints propagation and provide a logic for symbolic and numerical deductions. In this paper we describe a support framework for opportunistic reasoning in constraint directed scheduling. In order to focus the attention of an incremental scheduler on critical problem aspects, some discrete temporal indexes are presented. They are also useful for the prediction of the degree of resources contention. The predictive method expressed through our indexes can be seen as a Knowledge Source for an opportunistic scheduler with a blackboard architecture.

The Complexity of Bit Retrieval

DOE PAGES

Elser, Veit

2018-09-20

Bit retrieval is the problem of reconstructing a periodic binary sequence from its periodic autocorrelation, with applications in cryptography and x-ray crystallography. After defining the problem, with and without noise, we describe and compare various algorithms for solving it. A geometrical constraint satisfaction algorithm, relaxed-reflect-reflect, is currently the best algorithm for noisy bit retrieval.

The Complexity of Bit Retrieval

DOE Office of Scientific and Technical Information (OSTI.GOV)

Elser, Veit

Bit retrieval is the problem of reconstructing a periodic binary sequence from its periodic autocorrelation, with applications in cryptography and x-ray crystallography. After defining the problem, with and without noise, we describe and compare various algorithms for solving it. A geometrical constraint satisfaction algorithm, relaxed-reflect-reflect, is currently the best algorithm for noisy bit retrieval.

Iterative Goal Refinement for Robotics

DTIC Science & Technology

2014-06-01

Researchers have used a variety of ways to represent such constraints (e.g., as a constraint satisfaction problem ( Scala , to appear), in PDDL (Vaquro...lifecycle to recent models of replanning (Talamadupala et al., 2013) and continual planning ( Scala , to appear). We described goal reasoning in...F., & Barreiro, J. (2013). Towards deliberative control in marine robotics. In Marine Robot Autonomy (pp. 91–175). Springer. Scala , E. (to appear

From near to eternity: Spin-glass planting, tiling puzzles, and constraint-satisfaction problems

NASA Astrophysics Data System (ADS)

Hamze, Firas; Jacob, Darryl C.; Ochoa, Andrew J.; Perera, Dilina; Wang, Wenlong; Katzgraber, Helmut G.

2018-04-01

We present a methodology for generating Ising Hamiltonians of tunable complexity and with a priori known ground states based on a decomposition of the model graph into edge-disjoint subgraphs. The idea is illustrated with a spin-glass model defined on a cubic lattice, where subproblems, whose couplers are restricted to the two values {-1 ,+1 } , are specified on unit cubes and are parametrized by their local degeneracy. The construction is shown to be equivalent to a type of three-dimensional constraint-satisfaction problem known as the tiling puzzle. By varying the proportions of subproblem types, the Hamiltonian can span a dramatic range of typical computational complexity, from fairly easy to many orders of magnitude more difficult than prototypical bimodal and Gaussian spin glasses in three space dimensions. We corroborate this behavior via experiments with different algorithms and discuss generalizations and extensions to different types of graphs.

An extended abstract: A heuristic repair method for constraint-satisfaction and scheduling problems

NASA Technical Reports Server (NTRS)

Minton, Steven; Johnston, Mark D.; Philips, Andrew B.; Laird, Philip

1992-01-01

The work described in this paper was inspired by a surprisingly effective neural network developed for scheduling astronomical observations on the Hubble Space Telescope. Our heuristic constraint satisfaction problem (CSP) method was distilled from an analysis of the network. In the process of carrying out the analysis, we discovered that the effectiveness of the network has little to do with its connectionist implementation. Furthermore, the ideas employed in the network can be implemented very efficiently within a symbolic CSP framework. The symbolic implementation is extremely simple. It also has the advantage that several different search strategies can be employed, although we have found that hill-climbing methods are particularly well-suited for the applications that we have investigated. We begin the paper with a brief review of the neural network. Following this, we describe our symbolic method for heuristic repair.

A neural network approach to job-shop scheduling.

PubMed

Zhou, D N; Cherkassky, V; Baldwin, T R; Olson, D E

1991-01-01

A novel analog computational network is presented for solving NP-complete constraint satisfaction problems, i.e. job-shop scheduling. In contrast to most neural approaches to combinatorial optimization based on quadratic energy cost function, the authors propose to use linear cost functions. As a result, the network complexity (number of neurons and the number of resistive interconnections) grows only linearly with problem size, and large-scale implementations become possible. The proposed approach is related to the linear programming network described by D.W. Tank and J.J. Hopfield (1985), which also uses a linear cost function for a simple optimization problem. It is shown how to map a difficult constraint-satisfaction problem onto a simple neural net in which the number of neural processors equals the number of subjobs (operations) and the number of interconnections grows linearly with the total number of operations. Simulations show that the authors' approach produces better solutions than existing neural approaches to job-shop scheduling, i.e. the traveling salesman problem-type Hopfield approach and integer linear programming approach of J.P.S. Foo and Y. Takefuji (1988), in terms of the quality of the solution and the network complexity.

Solution and reasoning reuse in space planning and scheduling applications

NASA Technical Reports Server (NTRS)

Verfaillie, Gerard; Schiex, Thomas

1994-01-01

In the space domain, as in other domains, the CSP (Constraint Satisfaction Problems) techniques are increasingly used to represent and solve planning and scheduling problems. But these techniques have been developed to solve CSP's which are composed of fixed sets of variables and constraints, whereas many planning and scheduling problems are dynamic. It is therefore important to develop methods which allow a new solution to be rapidly found, as close as possible to the previous one, when some variables or constraints are added or removed. After presenting some existing approaches, this paper proposes a simple and efficient method, which has been developed on the basis of the dynamic backtracking algorithm. This method allows previous solution and reasoning to be reused in the framework of a CSP which is close to the previous one. Some experimental results on general random CSPs and on operation scheduling problems for remote sensing satellites are given.

Implicit Motives and Men’s Perceived Constraint in Fatherhood

PubMed Central

Ruppen, Jessica; Waldvogel, Patricia; Ehlert, Ulrike

2016-01-01

Research shows that implicit motives influence social relationships. However, little is known about their role in fatherhood and, particularly, how men experience their paternal role. Therefore, this study examined the association of implicit motives and fathers’ perceived constraint due to fatherhood. Furthermore, we explored their relation to fathers’ life satisfaction. Participants were fathers with biological children (N = 276). They were asked to write picture stories, which were then coded for implicit affiliation and power motives. Perceived constraint and life satisfaction were assessed on a visual analog scale. A higher implicit need for affiliation was significantly associated with lower perceived constraint, whereas the implicit need for power had the opposite effect. Perceived constraint had a negative influence on life satisfaction. Structural equation modeling revealed significant indirect effects of implicit affiliation and power motives on life satisfaction mediated by perceived constraint. Our findings indicate that men with a higher implicit need for affiliation experience less constraint due to fatherhood, resulting in higher life satisfaction. The implicit need for power, however, results in more perceived constraint and is related to decreased life satisfaction. PMID:27933023

Nonlinear Model Predictive Control with Constraint Satisfactions for a Quadcopter

NASA Astrophysics Data System (ADS)

Wang, Ye; Ramirez-Jaime, Andres; Xu, Feng; Puig, Vicenç

2017-01-01

This paper presents a nonlinear model predictive control (NMPC) strategy combined with constraint satisfactions for a quadcopter. The full dynamics of the quadcopter describing the attitude and position are nonlinear, which are quite sensitive to changes of inputs and disturbances. By means of constraint satisfactions, partial nonlinearities and modeling errors of the control-oriented model of full dynamics can be transformed into the inequality constraints. Subsequently, the quadcopter can be controlled by an NMPC controller with the updated constraints generated by constraint satisfactions. Finally, the simulation results applied to a quadcopter simulator are provided to show the effectiveness of the proposed strategy.

Connectionism, parallel constraint satisfaction processes, and gestalt principles: (re) introducing cognitive dynamics to social psychology.

PubMed

Read, S J; Vanman, E J; Miller, L C

1997-01-01

We argue that recent work in connectionist modeling, in particular the parallel constraint satisfaction processes that are central to many of these models, has great importance for understanding issues of both historical and current concern for social psychologists. We first provide a brief description of connectionist modeling, with particular emphasis on parallel constraint satisfaction processes. Second, we examine the tremendous similarities between parallel constraint satisfaction processes and the Gestalt principles that were the foundation for much of modem social psychology. We propose that parallel constraint satisfaction processes provide a computational implementation of the principles of Gestalt psychology that were central to the work of such seminal social psychologists as Asch, Festinger, Heider, and Lewin. Third, we then describe how parallel constraint satisfaction processes have been applied to three areas that were key to the beginnings of modern social psychology and remain central today: impression formation and causal reasoning, cognitive consistency (balance and cognitive dissonance), and goal-directed behavior. We conclude by discussing implications of parallel constraint satisfaction principles for a number of broader issues in social psychology, such as the dynamics of social thought and the integration of social information within the narrow time frame of social interaction.

Reliability-based trajectory optimization using nonintrusive polynomial chaos for Mars entry mission

NASA Astrophysics Data System (ADS)

Huang, Yuechen; Li, Haiyang

2018-06-01

This paper presents the reliability-based sequential optimization (RBSO) method to settle the trajectory optimization problem with parametric uncertainties in entry dynamics for Mars entry mission. First, the deterministic entry trajectory optimization model is reviewed, and then the reliability-based optimization model is formulated. In addition, the modified sequential optimization method, in which the nonintrusive polynomial chaos expansion (PCE) method and the most probable point (MPP) searching method are employed, is proposed to solve the reliability-based optimization problem efficiently. The nonintrusive PCE method contributes to the transformation between the stochastic optimization (SO) and the deterministic optimization (DO) and to the approximation of trajectory solution efficiently. The MPP method, which is used for assessing the reliability of constraints satisfaction only up to the necessary level, is employed to further improve the computational efficiency. The cycle including SO, reliability assessment and constraints update is repeated in the RBSO until the reliability requirements of constraints satisfaction are satisfied. Finally, the RBSO is compared with the traditional DO and the traditional sequential optimization based on Monte Carlo (MC) simulation in a specific Mars entry mission to demonstrate the effectiveness and the efficiency of the proposed method.

A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: II. Probabilistic Guarantees on Constraint Satisfaction

PubMed Central

Li, Zukui; Floudas, Christodoulos A.

2012-01-01

Probabilistic guarantees on constraint satisfaction for robust counterpart optimization are studied in this paper. The robust counterpart optimization formulations studied are derived from box, ellipsoidal, polyhedral, “interval+ellipsoidal” and “interval+polyhedral” uncertainty sets (Li, Z., Ding, R., and Floudas, C.A., A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: I. Robust Linear and Robust Mixed Integer Linear Optimization, Ind. Eng. Chem. Res, 2011, 50, 10567). For those robust counterpart optimization formulations, their corresponding probability bounds on constraint satisfaction are derived for different types of uncertainty characteristic (i.e., bounded or unbounded uncertainty, with or without detailed probability distribution information). The findings of this work extend the results in the literature and provide greater flexibility for robust optimization practitioners in choosing tighter probability bounds so as to find less conservative robust solutions. Extensive numerical studies are performed to compare the tightness of the different probability bounds and the conservatism of different robust counterpart optimization formulations. Guiding rules for the selection of robust counterpart optimization models and for the determination of the size of the uncertainty set are discussed. Applications in production planning and process scheduling problems are presented. PMID:23329868

Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems

PubMed Central

Fonseca Guerra, Gabriel A.; Furber, Steve B.

2017-01-01

Constraint satisfaction problems (CSP) are at the core of numerous scientific and technological applications. However, CSPs belong to the NP-complete complexity class, for which the existence (or not) of efficient algorithms remains a major unsolved question in computational complexity theory. In the face of this fundamental difficulty heuristics and approximation methods are used to approach instances of NP (e.g., decision and hard optimization problems). The human brain efficiently handles CSPs both in perception and behavior using spiking neural networks (SNNs), and recent studies have demonstrated that the noise embedded within an SNN can be used as a computational resource to solve CSPs. Here, we provide a software framework for the implementation of such noisy neural solvers on the SpiNNaker massively parallel neuromorphic hardware, further demonstrating their potential to implement a stochastic search that solves instances of P and NP problems expressed as CSPs. This facilitates the exploration of new optimization strategies and the understanding of the computational abilities of SNNs. We demonstrate the basic principles of the framework by solving difficult instances of the Sudoku puzzle and of the map color problem, and explore its application to spin glasses. The solver works as a stochastic dynamical system, which is attracted by the configuration that solves the CSP. The noise allows an optimal exploration of the space of configurations, looking for the satisfiability of all the constraints; if applied discontinuously, it can also force the system to leap to a new random configuration effectively causing a restart. PMID:29311791

Employing Sensitivity Derivatives for Robust Optimization under Uncertainty in CFD

NASA Technical Reports Server (NTRS)

Newman, Perry A.; Putko, Michele M.; Taylor, Arthur C., III

2004-01-01

A robust optimization is demonstrated on a two-dimensional inviscid airfoil problem in subsonic flow. Given uncertainties in statistically independent, random, normally distributed flow parameters (input variables), an approximate first-order statistical moment method is employed to represent the Computational Fluid Dynamics (CFD) code outputs as expected values with variances. These output quantities are used to form the objective function and constraints. The constraints are cast in probabilistic terms; that is, the probability that a constraint is satisfied is greater than or equal to some desired target probability. Gradient-based robust optimization of this stochastic problem is accomplished through use of both first and second-order sensitivity derivatives. For each robust optimization, the effect of increasing both input standard deviations and target probability of constraint satisfaction are demonstrated. This method provides a means for incorporating uncertainty when considering small deviations from input mean values.

The min-conflicts heuristic: Experimental and theoretical results

NASA Technical Reports Server (NTRS)

Minton, Steven; Philips, Andrew B.; Johnston, Mark D.; Laird, Philip

1991-01-01

This paper describes a simple heuristic method for solving large-scale constraint satisfaction and scheduling problems. Given an initial assignment for the variables in a problem, the method operates by searching through the space of possible repairs. The search is guided by an ordering heuristic, the min-conflicts heuristic, that attempts to minimize the number of constraint violations after each step. We demonstrate empirically that the method performs orders of magnitude better than traditional backtracking techniques on certain standard problems. For example, the one million queens problem can be solved rapidly using our approach. We also describe practical scheduling applications where the method has been successfully applied. A theoretical analysis is presented to explain why the method works so well on certain types of problems and to predict when it is likely to be most effective.

The Proposal of the Model for Developing Dispatch System for Nationwide One-Day Integrative Planning

NASA Astrophysics Data System (ADS)

Kim, Hyun Soo; Choi, Hyung Rim; Park, Byung Kwon; Jung, Jae Un; Lee, Jin Wook

The problems of dispatch planning for container truck are classified as the pickup and delivery problems, which are highly complex issues that consider various constraints in the real world. However, in case of the current situation, it is developed by the control system so that it requires the automated planning system under the view of nationwide integrative planning. Therefore, the purpose of this study is to suggest model to develop the automated dispatch system through the constraint satisfaction problem and meta-heuristic technique-based algorithm. In the further study, the practical system is developed and evaluation is performed in aspect of various results. This study suggests model to undergo the study which promoted the complexity of the problems by considering the various constraints which were not considered in the early study. However, it is suggested that it is necessary to add the study which includes the real-time monitoring function for vehicles and cargos based on the information technology.

Solving Constraint Satisfaction Problems with Networks of Spiking Neurons

PubMed Central

Jonke, Zeno; Habenschuss, Stefan; Maass, Wolfgang

2016-01-01

Network of neurons in the brain apply—unlike processors in our current generation of computer hardware—an event-based processing strategy, where short pulses (spikes) are emitted sparsely by neurons to signal the occurrence of an event at a particular point in time. Such spike-based computations promise to be substantially more power-efficient than traditional clocked processing schemes. However, it turns out to be surprisingly difficult to design networks of spiking neurons that can solve difficult computational problems on the level of single spikes, rather than rates of spikes. We present here a new method for designing networks of spiking neurons via an energy function. Furthermore, we show how the energy function of a network of stochastically firing neurons can be shaped in a transparent manner by composing the networks of simple stereotypical network motifs. We show that this design approach enables networks of spiking neurons to produce approximate solutions to difficult (NP-hard) constraint satisfaction problems from the domains of planning/optimization and verification/logical inference. The resulting networks employ noise as a computational resource. Nevertheless, the timing of spikes plays an essential role in their computations. Furthermore, networks of spiking neurons carry out for the Traveling Salesman Problem a more efficient stochastic search for good solutions compared with stochastic artificial neural networks (Boltzmann machines) and Gibbs sampling. PMID:27065785

An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming

PubMed Central

Duan, Qianqian; Yang, Genke; Xu, Guanglin; Pan, Changchun

2014-01-01

This paper is devoted to develop an approximation method for scheduling refinery crude oil operations by taking into consideration the demand uncertainty. In the stochastic model the demand uncertainty is modeled as random variables which follow a joint multivariate distribution with a specific correlation structure. Compared to deterministic models in existing works, the stochastic model can be more practical for optimizing crude oil operations. Using joint chance constraints, the demand uncertainty is treated by specifying proximity level on the satisfaction of product demands. However, the joint chance constraints usually hold strong nonlinearity and consequently, it is still hard to handle it directly. In this paper, an approximation method combines a relax-and-tight technique to approximately transform the joint chance constraints to a serial of parameterized linear constraints so that the complicated problem can be attacked iteratively. The basic idea behind this approach is to approximate, as much as possible, nonlinear constraints by a lot of easily handled linear constraints which will lead to a well balance between the problem complexity and tractability. Case studies are conducted to demonstrate the proposed methods. Results show that the operation cost can be reduced effectively compared with the case without considering the demand correlation. PMID:24757433

An approximation solution to refinery crude oil scheduling problem with demand uncertainty using joint constrained programming.

PubMed

Duan, Qianqian; Yang, Genke; Xu, Guanglin; Pan, Changchun

2014-01-01

This paper is devoted to develop an approximation method for scheduling refinery crude oil operations by taking into consideration the demand uncertainty. In the stochastic model the demand uncertainty is modeled as random variables which follow a joint multivariate distribution with a specific correlation structure. Compared to deterministic models in existing works, the stochastic model can be more practical for optimizing crude oil operations. Using joint chance constraints, the demand uncertainty is treated by specifying proximity level on the satisfaction of product demands. However, the joint chance constraints usually hold strong nonlinearity and consequently, it is still hard to handle it directly. In this paper, an approximation method combines a relax-and-tight technique to approximately transform the joint chance constraints to a serial of parameterized linear constraints so that the complicated problem can be attacked iteratively. The basic idea behind this approach is to approximate, as much as possible, nonlinear constraints by a lot of easily handled linear constraints which will lead to a well balance between the problem complexity and tractability. Case studies are conducted to demonstrate the proposed methods. Results show that the operation cost can be reduced effectively compared with the case without considering the demand correlation.

A hybrid fuzzy logic/constraint satisfaction problem approach to automatic decision making in simulation game models.

PubMed

Braathen, Sverre; Sendstad, Ole Jakob

2004-08-01

Possible techniques for representing automatic decision-making behavior approximating human experts in complex simulation model experiments are of interest. Here, fuzzy logic (FL) and constraint satisfaction problem (CSP) methods are applied in a hybrid design of automatic decision making in simulation game models. The decision processes of a military headquarters are used as a model for the FL/CSP decision agents choice of variables and rulebases. The hybrid decision agent design is applied in two different types of simulation games to test the general applicability of the design. The first application is a two-sided zero-sum sequential resource allocation game with imperfect information interpreted as an air campaign game. The second example is a network flow stochastic board game designed to capture important aspects of land manoeuvre operations. The proposed design is shown to perform well also in this complex game with a very large (billionsize) action set. Training of the automatic FL/CSP decision agents against selected performance measures is also shown and results are presented together with directions for future research.

Scheduling of an aircraft fleet

NASA Technical Reports Server (NTRS)

Paltrinieri, Massimo; Momigliano, Alberto; Torquati, Franco

1992-01-01

Scheduling is the task of assigning resources to operations. When the resources are mobile vehicles, they describe routes through the served stations. To emphasize such aspect, this problem is usually referred to as the routing problem. In particular, if vehicles are aircraft and stations are airports, the problem is known as aircraft routing. This paper describes the solution to such a problem developed in OMAR (Operative Management of Aircraft Routing), a system implemented by Bull HN for Alitalia. In our approach, aircraft routing is viewed as a Constraint Satisfaction Problem. The solving strategy combines network consistency and tree search techniques.

Principals' Self-Efficacy: Relations with Job Autonomy, Job Satisfaction, and Contextual Constraints

ERIC Educational Resources Information Center

Federici, Roger A.

2013-01-01

The purpose of the present study was to explore relations between principals' self-efficacy, perceived job autonomy, job satisfaction, and perceived contextual constraints to autonomy. Principal self-efficacy was measured by a multidimensional scale called the Norwegian Principal Self-Efficacy Scale. Job autonomy, job satisfaction, and contextual…

A Graph Based Backtracking Algorithm for Solving General CSPs

NASA Technical Reports Server (NTRS)

Pang, Wanlin; Goodwin, Scott D.

2003-01-01

Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complete task in general, tractable classes of CSPs have been identified based on the structure of the underlying constraint graphs. Much effort has been spent on exploiting structural properties of the constraint graph to improve the efficiency of finding a solution. These efforts contributed to development of a class of CSP solving algorithms called decomposition algorithms. The strength of CSP decomposition is that its worst-case complexity depends on the structural properties of the constraint graph and is usually better than the worst-case complexity of search methods. Its practical application is limited, however, since it cannot be applied if the CSP is not decomposable. In this paper, we propose a graph based backtracking algorithm called omega-CDBT, which shares merits and overcomes the weaknesses of both decomposition and search approaches.

Emergency department overcrowding: the impact of resource scarcity on physician job satisfaction.

PubMed

Rondeau, Kent V; Francescutti, Louis H

2005-01-01

Emergency departments in most developed countries have been experiencing significant overcrowding under a regime of severe resource constraints. Physicians in emergency departments increasingly find themselves toiling in workplaces that are characterized by diminished availability of, limited access to, and decreased stability of critical resources. Severe resource constraints have the potential to greatly weaken the overall job satisfaction of emergency physicians. This article examines the impact of hospital resource constraints on the job satisfaction of a large sample of emergency physicians in Canada. After controlling for workflow and patient characteristics and for various institutional and physician characteristics, institutional resource constraints are found to be major contributors to emergency physician job dissatisfaction. Resource factors that have the greatest impact on job satisfaction include availability of emergency room physicians, access to hospital technology and emergency beds, and stability of financial (investment) resources.

Volume of the steady-state space of financial flows in a monetary stock-flow-consistent model

NASA Astrophysics Data System (ADS)

Hazan, Aurélien

2017-05-01

We show that a steady-state stock-flow consistent macro-economic model can be represented as a Constraint Satisfaction Problem (CSP). The set of solutions is a polytope, which volume depends on the constraints applied and reveals the potential fragility of the economic circuit, with no need to study the dynamics. Several methods to compute the volume are compared, inspired by operations research methods and the analysis of metabolic networks, both exact and approximate. We also introduce a random transaction matrix, and study the particular case of linear flows with respect to money stocks.

Final Report - Regulatory Considerations for Adaptive Systems

NASA Technical Reports Server (NTRS)

Wilkinson, Chris; Lynch, Jonathan; Bharadwaj, Raj

2013-01-01

This report documents the findings of a preliminary research study into new approaches to the software design assurance of adaptive systems. We suggest a methodology to overcome the software validation and verification difficulties posed by the underlying assumption of non-adaptive software in the requirementsbased- testing verification methods in RTCA/DO-178B and C. An analysis of the relevant RTCA/DO-178B and C objectives is presented showing the reasons for the difficulties that arise in showing satisfaction of the objectives and suggested additional means by which they could be satisfied. We suggest that the software design assurance problem for adaptive systems is principally one of developing correct and complete high level requirements and system level constraints that define the necessary system functional and safety properties to assure the safe use of adaptive systems. We show how analytical techniques such as model based design, mathematical modeling and formal or formal-like methods can be used to both validate the high level functional and safety requirements, establish necessary constraints and provide the verification evidence for the satisfaction of requirements and constraints that supplements conventional testing. Finally the report identifies the follow-on research topics needed to implement this methodology.

What Have the Difference Scores Not Been Telling Us? A Critique of the Use of Self-Ideal Discrepancy in the Assessment of Body Image and Evaluation of an Alternative Data-Analytic Framework

ERIC Educational Resources Information Center

Cafri, Guy; van den Berg, Patricia; Brannick, Michael T.

2010-01-01

Difference scores are often used as a means of assessing body image satisfaction using silhouette scales. Unfortunately, difference scores suffer from numerous potential methodological problems, including reduced reliability, ambiguity, confounded effects, untested constraints, and dimensional reduction. In this article, the methodological…

An approximation function for frequency constrained structural optimization

NASA Technical Reports Server (NTRS)

Canfield, R. A.

1989-01-01

The purpose is to examine a function for approximating natural frequency constraints during structural optimization. The nonlinearity of frequencies has posed a barrier to constructing approximations for frequency constraints of high enough quality to facilitate efficient solutions. A new function to represent frequency constraints, called the Rayleigh Quotient Approximation (RQA), is presented. Its ability to represent the actual frequency constraint results in stable convergence with effectively no move limits. The objective of the optimization problem is to minimize structural weight subject to some minimum (or maximum) allowable frequency and perhaps subject to other constraints such as stress, displacement, and gage size, as well. A reason for constraining natural frequencies during design might be to avoid potential resonant frequencies due to machinery or actuators on the structure. Another reason might be to satisy requirements of an aircraft or spacecraft's control law. Whatever the structure supports may be sensitive to a frequency band that must be avoided. Any of these situations or others may require the designer to insure the satisfaction of frequency constraints. A further motivation for considering accurate approximations of natural frequencies is that they are fundamental to dynamic response constraints.

Powered Descent Guidance with General Thrust-Pointing Constraints

NASA Technical Reports Server (NTRS)

Carson, John M., III; Acikmese, Behcet; Blackmore, Lars

2013-01-01

The Powered Descent Guidance (PDG) algorithm and software for generating Mars pinpoint or precision landing guidance profiles has been enhanced to incorporate thrust-pointing constraints. Pointing constraints would typically be needed for onboard sensor and navigation systems that have specific field-of-view requirements to generate valid ground proximity and terrain-relative state measurements. The original PDG algorithm was designed to enforce both control and state constraints, including maximum and minimum thrust bounds, avoidance of the ground or descent within a glide slope cone, and maximum speed limits. The thrust-bound and thrust-pointing constraints within PDG are non-convex, which in general requires nonlinear optimization methods to generate solutions. The short duration of Mars powered descent requires guaranteed PDG convergence to a solution within a finite time; however, nonlinear optimization methods have no guarantees of convergence to the global optimal or convergence within finite computation time. A lossless convexification developed for the original PDG algorithm relaxed the non-convex thrust bound constraints. This relaxation was theoretically proven to provide valid and optimal solutions for the original, non-convex problem within a convex framework. As with the thrust bound constraint, a relaxation of the thrust-pointing constraint also provides a lossless convexification that ensures the enhanced relaxed PDG algorithm remains convex and retains validity for the original nonconvex problem. The enhanced PDG algorithm provides guidance profiles for pinpoint and precision landing that minimize fuel usage, minimize landing error to the target, and ensure satisfaction of all position and control constraints, including thrust bounds and now thrust-pointing constraints.

An exploration of antecedents of positive affect among the elderly: a cross-sectional study

PubMed Central

2016-01-01

Abstract Background: Positive affect contributes to the healthy life style, which, in turn, explains life satisfaction and psychological well-being among the elderly. Existent literature has reinforced that physical activity participation influences development of positive affect for the elderly. Because of the increased life constraints and physical problems, however, maintenance of positive affect might be challenging for elderly people. Methods : Data were drawn from a sample of the Survey of Health, Ageing and Retirement in Europe. A total sample of 3845 males and 3912 females aged between 65 and 103 years from 16 European countries was analyzed. Perception of life constraints, health problems, physical activity engagement and positive affect were measured by a structured questionnaire. Confirmatory factor analysis and a technique of structural equation modelling were employed using Amos 18 to examine the hypothesized relationships between study variables. Results: Perceived life constraints and physical problems significantly affected the acquisition of positive affect among the elderly. Physical activity was found to have a significant path coefficient towards the measure of positive attitude and emotion. Physical activity was also a significant mediator between physical problems and positive affect. Conclusions: This study extended our understanding of how the perception of life constraints and health problems influence the elderly’s daily experience. Study finding reinforced the goodness of physical activity participation to enhance positive affect among the elderly. We should administer sustainable and evidence-based physical activity including interventions and infrastructure to improve positive affect and psychological well-bing among the elderly. PMID:25829500

An exploration of antecedents of positive affect among the elderly: a cross-sectional study.

PubMed

Lee, Sunwoo

2016-02-01

Positive affect contributes to the healthy life style, which, in turn, explains life satisfaction and psychological well-being among the elderly. Existent literature has reinforced that physical activity participation influences development of positive affect for the elderly. Because of the increased life constraints and physical problems, however, maintenance of positive affect might be challenging for elderly people. Data were drawn from a sample of the Survey of Health, Ageing and Retirement in Europe. A total sample of 3845 males and 3912 females aged between 65 and 103 years from 16 European countries was analyzed. Perception of life constraints, health problems, physical activity engagement and positive affect were measured by a structured questionnaire. Confirmatory factor analysis and a technique of structural equation modelling were employed using Amos 18 to examine the hypothesized relationships between study variables. Perceived life constraints and physical problems significantly affected the acquisition of positive affect among the elderly. Physical activity was found to have a significant path coefficient towards the measure of positive attitude and emotion. Physical activity was also a significant mediator between physical problems and positive affect. This study extended our understanding of how the perception of life constraints and health problems influence the elderly's daily experience. Study finding reinforced the goodness of physical activity participation to enhance positive affect among the elderly. We should administer sustainable and evidence-based physical activity including interventions and infrastructure to improve positive affect and psychological well-bing among the elderly. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Nurses Returning to School: Motivators, Inhibitors and Job Satisfaction.

PubMed

Harris, Patrick W; Burman, Mary E

2016-01-01

Health care employers and national nursing organizations are placing increased emphasis on nurses earning a baccalaureate degree or higher. This study examines the impact of motivators (professional and personal motivation), inhibitors (time constraints and employer discouragement), and job satisfaction on intent to return to school. Approximately half of the employed nurses in Wyoming were surveyed using a mailed questionnaire in the summer of 2013. Perceived employer discouragement and time constraints continued to play a direct role on intent to return to school regardless of nurse motivation or job satisfaction. However, motivation and job satisfaction also contributed to a nurse's intent to return to school. These results suggest that motivation and job satisfaction are significant regarding intent to return to school but can be limited by both perceived discouragement of one's employer and perceived time constraints. In order to meet the increasing demands of a better-educated nursing workforce, a shift in workplace dynamics may be warranted. Copyright © 2016 Elsevier Inc. All rights reserved.

Availing services for developmental disabilities: parental experiences from a referral center in developing country.

PubMed

Juneja, Monica; Jain, Rahul; Singhal, Swati; Mishra, Devendra

2012-09-01

To identify the problems faced by parents of children with developmental disabilities in availing rehabilitative services and to find their satisfaction level. This study was carried out at a Child Development Clinic (CDC) located in Northern India. Children with developmental disabilities, who were availing services at CDC for at least last 3 mo and had at least 3 follow-up visits, were enrolled. A questionnaire pertaining to the socio-demographic profile, problems faced in availing services and satisfaction level was filled by the parents of the enrolled children. During the study period, 161 parents filled the questionnaire. 77.6% had some problems in getting the services, the major being difficulty in commuting (50%) and financial constraint (21.7%). More than 80% parents use public transport to reach CDC with 19% travelling more than 50 Km. 29.8% had difficulty in bringing their child to the clinic, either due to severe behavioral problems or physical disability. However, majority of the families were well satisfied with the services as 95% of them graded their satisfaction level at 3 or more on the scale of 0-5. Parents of children with developmental disabilities face many problems in getting rehabilitative services. They travel long distances, face hardships in carrying their child, and lose their day's earnings, apart from spending time and money for their child's therapy. However, most of the parents are well satisfied with the services.

Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints

NASA Astrophysics Data System (ADS)

Edalati, L.; Khaki Sedigh, A.; Aliyari Shooredeli, M.; Moarefianpour, A.

2018-02-01

This paper deals with the design of adaptive fuzzy dynamic surface control for uncertain strict-feedback nonlinear systems with asymmetric time-varying output constraints in the presence of input saturation. To approximate the unknown nonlinear functions and overcome the problem of explosion of complexity, a Fuzzy logic system is combined with the dynamic surface control in the backstepping design technique. To ensure the output constraints satisfaction, an asymmetric time-varying Barrier Lyapunov Function (BLF) is used. Moreover, by applying the minimal learning parameter technique, the number of the online parameters update for each subsystem is reduced to 2. Hence, the semi-globally uniformly ultimately boundedness (SGUUB) of all the closed-loop signals with appropriate tracking error convergence is guaranteed. The effectiveness of the proposed control is demonstrated by two simulation examples.

Leisure activities following a lower limb amputation.

PubMed

Couture, Mélanie; Caron, Chantal D; Desrosiers, Johanne

2010-01-01

The aim of this study was to describe leisure activities, leisure satisfaction and constraints on participation in leisure following a unilateral lower limb amputation due to vascular disease. This study used a mixed-method approach where 15 individuals with lower limb amputation completed the individual leisure profile 2-3 months post-discharge from rehabilitation. A subsample (n = 8) also participated in semi-structured interviews analysed using the Miles and Huberman analytic method. Results show that participants were involved in 12 different leisure activities on average. Compared to before the amputation, a decrease in participation was observed in all categories of leisure activity, and especially crafts, nature and outdoor activities, mechanics, sports and physical activities. Nonetheless, overall satisfaction was high. The most important constraints on participation in leisure were lack of accessibility, material considerations, functional abilities, affective constraints and social constraints. A decrease in leisure activity participation and the presence of constraints do not automatically translate into low levels of leisure satisfaction.

Career satisfaction among general surgeons in Canada: a qualitative study of enablers and barriers to improve recruitment and retention in general surgery.

PubMed

Ahmed, Najma; Conn, Lesley Gotlib; Chiu, Mary; Korabi, Bochra; Qureshi, Adnan; Nathens, Avery B; Kitto, Simon

2012-11-01

To understand what influences career satisfaction among general surgeons in urban and rural areas in Canada in order to improve recruitment and retention in general surgery. Semistructured interviews were conducted with 32 general surgeons in 2010 who were members of the Canadian Association of General Surgeons and who currently practice in either an urban or rural area. Interviews explored factors contributing to career satisfaction, as well as suggestions for preventive, screening, or management strategies to support general surgery practice. Findings revealed that both urban and rural general surgeons experienced the most satisfaction from their ability to resolve patient problems quickly and effectively, enhancing their sense of the meaningfulness of their clinical practice. The supportive relationships with colleagues, trainees, and patients was also cited as a key source of career satisfaction. Conversely, insufficient access to resources and a perceived disconnect between hospital administration and clinical practice priorities were raised as key "systems-level" problems. As a result, many participants felt alienated from their work by these systems-level barriers that were perceived to hinder the provision of high-quality patient care. Career satisfaction among both urban and rural general surgeons was influenced positively by the social aspects of their work, such as patient and colleague relationships, as well as a perception of an increasing amount of control and autonomy over their professional commitments. The modern general surgeon values a balance between professional obligations and personal time that may be difficult to achieve given the current system constraints.

Distributed Optimization

NASA Technical Reports Server (NTRS)

Macready, William; Wolpert, David

2005-01-01

We demonstrate a new framework for analyzing and controlling distributed systems, by solving constrained optimization problems with an algorithm based on that framework. The framework is ar. information-theoretic extension of conventional full-rationality game theory to allow bounded rational agents. The associated optimization algorithm is a game in which agents control the variables of the optimization problem. They do this by jointly minimizing a Lagrangian of (the probability distribution of) their joint state. The updating of the Lagrange parameters in that Lagrangian is a form of automated annealing, one that focuses the multi-agent system on the optimal pure strategy. We present computer experiments for the k-sat constraint satisfaction problem and for unconstrained minimization of NK functions.

An Algorithm for Automatically Modifying Train Crew Schedule

NASA Astrophysics Data System (ADS)

Takahashi, Satoru; Kataoka, Kenji; Kojima, Teruhito; Asami, Masayuki

Once the break-down of the train schedule occurs, the crew schedule as well as the train schedule has to be modified as quickly as possible to restore them. In this paper, we propose an algorithm for automatically modifying a crew schedule that takes all constraints into consideration, presenting a model of the combined problem of crews and trains. The proposed algorithm builds an initial solution by relaxing some of the constraint conditions, and then uses a Taboo-search method to revise this solution in order to minimize the degree of constraint violation resulting from these relaxed conditions. Then we show not only that the algorithm can generate a constraint satisfaction solution, but also that the solution will satisfy the experts. That is, we show the proposed algorithm is capable of producing a usable solution in a short time by applying to actual cases of train-schedule break-down, and that the solution is at least as good as those produced manually, by comparing the both solutions with several point of view.

A comparison of problem-based learning and conventional teaching in nursing ethics education.

PubMed

Lin, Chiou-Fen; Lu, Meei-Shiow; Chung, Chun-Chih; Yang, Che-Ming

2010-05-01

The aim of this study was to compare the learning effectiveness of peer tutored problem-based learning and conventional teaching of nursing ethics in Taiwan. The study adopted an experimental design. The peer tutored problem-based learning method was applied to an experimental group and the conventional teaching method to a control group. The study sample consisted of 142 senior nursing students who were randomly assigned to the two groups. All the students were tested for their nursing ethical discrimination ability both before and after the educational intervention. A learning satisfaction survey was also administered to both groups at the end of each course. After the intervention, both groups showed a significant increase in ethical discrimination ability. There was a statistically significant difference between the ethical discrimination scores of the two groups (P < 0.05), with the experimental group on average scoring higher than the control group. There were significant differences in satisfaction with self-motivated learning and critical thinking between the groups. Peer tutored problem-based learning and lecture-type conventional teaching were both effective for nursing ethics education, but problem-based learning was shown to be more effective. Peer tutored problem-based learning has the potential to enhance the efficacy of teaching nursing ethics in situations in which there are personnel and resource constraints.

A General Connectionist Model of Attitude Structure and Change: The ACS (Attitudes as Constraint Satisfaction) Model

ERIC Educational Resources Information Center

Monroe, Brian M.; Read, Stephen J.

2008-01-01

A localist, parallel constraint satisfaction, artificial neural network model is presented that accounts for a broad collection of attitude and attitude-change phenomena. The network represents the attitude object and cognitions and beliefs related to the attitude, as well as how to integrate a persuasive message into this network. Short-term…

On the Satisfaction of Modulus and Ambiguity Function Constraints in Radar Waveform Optimization for Detection

DTIC Science & Technology

2010-06-01

sense that the two waveforms are as close as possible in a Euclidean sense . Li et al. [33] later devised an algorithm that provides the optimal waveform...respectively), and the SWORD algorithm in [33]. These algorithms were designed for the problem of detecting a known signal in the presence of wide- sense ... sensing , astronomy, crystallography, signal processing, and image processing. (See references in the works cited below for examples.) In the general

A qualitative difference. Patients' views of hospital food service in Iran.

PubMed

Jessri, Mahsa; Mirmiran, Parvin; Jessri, Maryam; Johns, Nick; Rashidkhani, Bahram; Amiri, Parisa; Barfmal, Nasrin; Azizi, Fereidoun

2011-10-01

Undernutrition and food acceptability in hospitals form a worldwide problem, but existing studies offer a predominantly Western perspective. This research investigated inpatients' satisfaction with meals in five Iranian hospitals, using focus group discussions, interviews and meal observations. The main problem areas included food quality and quantity, nutritional control, meal arrangements and staff attitudes. Iran's hospitals follow a Western model, which may be appropriate for medical systems, but is less so for patient feeding, due to budgetary constraints and cultural factors. Understanding patients' experience makes it possible to improve feeding arrangements, with a positive impact upon patients' nutrition. Copyright © 2011 Elsevier Ltd. All rights reserved.

From Constraints to Resolution Rules Part II : chains, braids, confluence and T&E

NASA Astrophysics Data System (ADS)

Berthier, Denis

In this Part II, we apply the general theory developed in Part I to a detailed analysis of the Constraint Satisfaction Problem (CSP). We show how specific types of resolution rules can be defined. In particular, we introduce the general notions of a chain and a braid. As in Part I, these notions are illustrated in detail with the Sudoku example - a problem known to be NP-complete and which is therefore typical of a broad class of hard problems. For Sudoku, we also show how far one can go in "approximating" a CSP with a resolution theory and we give an empirical statistical analysis of how the various puzzles, corresponding to different sets of entries, can be classified along a natural scale of complexity. For any CSP, we also prove the confluence property of some Resolution Theories based on braids and we show how it can be used to define different resolution strategies. Finally, we prove that, in any CSP, braids have the same solving capacity as Trial-and-Error (T&E) with no guessing and we comment this result in the Sudoku case.

An Optimizing Space Data-Communications Scheduling Method and Algorithm with Interference Mitigation, Generalized for a Broad Class of Optimization Problems

NASA Technical Reports Server (NTRS)

Rash, James L.

2010-01-01

NASA's space data-communications infrastructure, the Space Network and the Ground Network, provide scheduled (as well as some limited types of unscheduled) data-communications services to user spacecraft via orbiting relay satellites and ground stations. An implementation of the methods and algorithms disclosed herein will be a system that produces globally optimized schedules with not only optimized service delivery by the space data-communications infrastructure but also optimized satisfaction of all user requirements and prescribed constraints, including radio frequency interference (RFI) constraints. Evolutionary search, a class of probabilistic strategies for searching large solution spaces, constitutes the essential technology in this disclosure. Also disclosed are methods and algorithms for optimizing the execution efficiency of the schedule-generation algorithm itself. The scheduling methods and algorithms as presented are adaptable to accommodate the complexity of scheduling the civilian and/or military data-communications infrastructure. Finally, the problem itself, and the methods and algorithms, are generalized and specified formally, with applicability to a very broad class of combinatorial optimization problems.

A Model with Darwinian Dynamics on a Rugged Landscape

NASA Astrophysics Data System (ADS)

Brotto, Tommaso; Bunin, Guy; Kurchan, Jorge

2017-02-01

We discuss the population dynamics with selection and random diffusion, keeping the total population constant, in a fitness landscape associated with Constraint Satisfaction, a paradigm for difficult optimization problems. We obtain a phase diagram in terms of the size of the population and the diffusion rate, with a glass phase inside which the dynamics keeps searching for better configurations, and outside which deleterious `mutations' spoil the performance. The phase diagram is analogous to that of dense active matter in terms of temperature and drive.

Strict Constraint Feasibility in Analysis and Design of Uncertain Systems

NASA Technical Reports Server (NTRS)

Crespo, Luis G.; Giesy, Daniel P.; Kenny, Sean P.

2006-01-01

This paper proposes a methodology for the analysis and design optimization of models subject to parametric uncertainty, where hard inequality constraints are present. Hard constraints are those that must be satisfied for all parameter realizations prescribed by the uncertainty model. Emphasis is given to uncertainty models prescribed by norm-bounded perturbations from a nominal parameter value, i.e., hyper-spheres, and by sets of independently bounded uncertain variables, i.e., hyper-rectangles. These models make it possible to consider sets of parameters having comparable as well as dissimilar levels of uncertainty. Two alternative formulations for hyper-rectangular sets are proposed, one based on a transformation of variables and another based on an infinity norm approach. The suite of tools developed enable us to determine if the satisfaction of hard constraints is feasible by identifying critical combinations of uncertain parameters. Since this practice is performed without sampling or partitioning the parameter space, the resulting assessments of robustness are analytically verifiable. Strategies that enable the comparison of the robustness of competing design alternatives, the approximation of the robust design space, and the systematic search for designs with improved robustness characteristics are also proposed. Since the problem formulation is generic and the solution methods only require standard optimization algorithms for their implementation, the tools developed are applicable to a broad range of problems in several disciplines.

Interactive two-stage stochastic fuzzy programming for water resources management.

PubMed

Wang, S; Huang, G H

2011-08-01

In this study, an interactive two-stage stochastic fuzzy programming (ITSFP) approach has been developed through incorporating an interactive fuzzy resolution (IFR) method within an inexact two-stage stochastic programming (ITSP) framework. ITSFP can not only tackle dual uncertainties presented as fuzzy boundary intervals that exist in the objective function and the left- and right-hand sides of constraints, but also permit in-depth analyses of various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. A management problem in terms of water resources allocation has been studied to illustrate applicability of the proposed approach. The results indicate that a set of solutions under different feasibility degrees has been generated for planning the water resources allocation. They can help the decision makers (DMs) to conduct in-depth analyses of tradeoffs between economic efficiency and constraint-violation risk, as well as enable them to identify, in an interactive way, a desired compromise between satisfaction degree of the goal and feasibility of the constraints (i.e., risk of constraint violation). Copyright © 2011 Elsevier Ltd. All rights reserved.

Declarative Programming with Temporal Constraints, in the Language CG.

PubMed

Negreanu, Lorina

2015-01-01

Specifying and interpreting temporal constraints are key elements of knowledge representation and reasoning, with applications in temporal databases, agent programming, and ambient intelligence. We present and formally characterize the language CG, which tackles this issue. In CG, users are able to develop time-dependent programs, in a flexible and straightforward manner. Such programs can, in turn, be coupled with evolving environments, thus empowering users to control the environment's evolution. CG relies on a structure for storing temporal information, together with a dedicated query mechanism. Hence, we explore the computational complexity of our query satisfaction problem. We discuss previous implementation attempts of CG and introduce a novel prototype which relies on logic programming. Finally, we address the issue of consistency and correctness of CG program execution, using the Event-B modeling approach.

Planning and scheduling the Hubble Space Telescope: Practical application of advanced techniques

NASA Technical Reports Server (NTRS)

Miller, Glenn E.

1994-01-01

NASA's Hubble Space Telescope (HST) is a major astronomical facility that was launched in April, 1990. In late 1993, the first of several planned servicing missions refurbished the telescope, including corrections for a manufacturing flaw in the primary mirror. Orbiting above the distorting effects of the Earth's atmosphere, the HST provides an unrivaled combination of sensitivity, spectral coverage and angular resolution. The HST is arguably the most complex scientific observatory ever constructed and effective use of this valuable resource required novel approaches to astronomical observation and the development of advanced software systems including techniques to represent scheduling preferences and constraints, a constraint satisfaction problem (CSP) based scheduler and a rule based planning system. This paper presents a discussion of these systems and the lessons learned from operational experience.

Sudden emergence of q-regular subgraphs in random graphs

NASA Astrophysics Data System (ADS)

Pretti, M.; Weigt, M.

2006-07-01

We investigate the computationally hard problem whether a random graph of finite average vertex degree has an extensively large q-regular subgraph, i.e., a subgraph with all vertices having degree equal to q. We reformulate this problem as a constraint-satisfaction problem, and solve it using the cavity method of statistical physics at zero temperature. For q = 3, we find that the first large q-regular subgraphs appear discontinuously at an average vertex degree c3 - reg simeq 3.3546 and contain immediately about 24% of all vertices in the graph. This transition is extremely close to (but different from) the well-known 3-core percolation point c3 - core simeq 3.3509. For q > 3, the q-regular subgraph percolation threshold is found to coincide with that of the q-core.

A linear programming approach to max-sum problem: a review.

PubMed

Werner, Tomás

2007-07-01

The max-sum labeling problem, defined as maximizing a sum of binary (i.e., pairwise) functions of discrete variables, is a general NP-hard optimization problem with many applications, such as computing the MAP configuration of a Markov random field. We review a not widely known approach to the problem, developed by Ukrainian researchers Schlesinger et al. in 1976, and show how it contributes to recent results, most importantly, those on the convex combination of trees and tree-reweighted max-product. In particular, we review Schlesinger et al.'s upper bound on the max-sum criterion, its minimization by equivalent transformations, its relation to the constraint satisfaction problem, the fact that this minimization is dual to a linear programming relaxation of the original problem, and the three kinds of consistency necessary for optimality of the upper bound. We revisit problems with Boolean variables and supermodular problems. We describe two algorithms for decreasing the upper bound. We present an example application for structural image analysis.

Bidirectional Associations Between Newlyweds' Marital Satisfaction and Marital Problems over Time.

PubMed

Lavner, Justin A; Karney, Benjamin R; Williamson, Hannah C; Bradbury, Thomas N

2017-12-01

Prevailing views of marital functioning generally adopt the view that marital problems predict decreases in marital satisfaction, but alternative theoretical perspectives raise the possibility that lowered satisfaction can also predict increases in problems. The current study sought to integrate and compare these perspectives by examining the bidirectional cross-lagged associations between newlyweds' reports of their marital satisfaction and marital problems over the first 4 years of marriage. Using annual assessments from 483 heterosexual newlywed couples, we find evidence for problem-to-satisfaction linkages as well as satisfaction-to-problem linkages. Satisfaction was a stronger predictor of marital problems early in marriage but not as time passed; by Year 4 only problem-to-satisfaction linkages remained significant. These findings are consistent with the idea that couples with more problems go on to report lower levels of satisfaction and couples with lower levels of satisfaction go on to report more marital problems. This dynamic interplay between global judgments about relationship satisfaction and ongoing specific relationship difficulties highlights the value of examining bidirectional effects to better understand marital functioning over time. © 2016 Family Process Institute.

An Industrial Engineering Approach to Cost Containment of Pharmacy Education.

PubMed

Duncan, Wendy; Bottenberg, Michelle; Chase, Marilea; Chesnut, Renae; Clarke, Cheryl; Schott, Kathryn; Torry, Ronald; Welty, Tim

2015-11-25

A 2-semester project explored employing teams of fourth-year industrial engineering students to optimize some of our academic management processes. Results included significant cost savings and increases in efficiency, effectiveness, and student and faculty satisfaction. While we did not adopt all of the students' recommendations, we did learn some important lessons. For example, an initial investment of time in developing a mutually clear understanding of the problems, constraints, and goals maximizes the value of industrial engineering analysis and recommendations. Overall, industrial engineering was a valuable tool for optimizing certain academic management processes.

The Approximability of Learning and Constraint Satisfaction Problems

DTIC Science & Technology

2010-10-07

further improved this result to NP ⊆ naPCP1,3/4+²(O(log(n)),3). Around the same time, Zwick [141] showed that naPCP1,5/8(O(log(n)),3)⊆ BPP by giving a...randomized polynomial-time 5/8-approximation algorithm for satisfiable 3CSP. Therefore unless NP⊆ BPP , the best s must be bigger than 5/8. Zwick... BPP [141]. We think that Question 5.1.2 addresses an important missing part in understanding the 3-query PCP systems. In addition, as is mentioned the

TRACON Aircraft Arrival Planning and Optimization Through Spatial Constraint Satisfaction

NASA Technical Reports Server (NTRS)

Bergh, Christopher P.; Krzeczowski, Kenneth J.; Davis, Thomas J.; Denery, Dallas G. (Technical Monitor)

1995-01-01

A new aircraft arrival planning and optimization algorithm has been incorporated into the Final Approach Spacing Tool (FAST) in the Center-TRACON Automation System (CTAS) developed at NASA-Ames Research Center. FAST simulations have been conducted over three years involving full-proficiency, level five air traffic controllers from around the United States. From these simulations an algorithm, called Spatial Constraint Satisfaction, has been designed, coded, undergone testing, and soon will begin field evaluation at the Dallas-Fort Worth and Denver International airport facilities. The purpose of this new design is an attempt to show that the generation of efficient and conflict free aircraft arrival plans at the runway does not guarantee an operationally acceptable arrival plan upstream from the runway -information encompassing the entire arrival airspace must be used in order to create an acceptable aircraft arrival plan. This new design includes functions available previously but additionally includes necessary representations of controller preferences and workload, operationally required amounts of extra separation, and integrates aircraft conflict resolution. As a result, the Spatial Constraint Satisfaction algorithm produces an optimized aircraft arrival plan that is more acceptable in terms of arrival procedures and air traffic controller workload. This paper discusses the current Air Traffic Control arrival planning procedures, previous work in this field, the design of the Spatial Constraint Satisfaction algorithm, and the results of recent evaluations of the algorithm.

Cognitive dissonance reduction as constraint satisfaction.

PubMed

Shultz, T R; Lepper, M R

1996-04-01

A constraint satisfaction neural network model (the consonance model) simulated data from the two major cognitive dissonance paradigms of insufficient justification and free choice. In several cases, the model fit the human data better than did cognitive dissonance theory. Superior fits were due to the inclusion of constraints that were not part of dissonance theory and to the increased precision inherent to this computational approach. Predictions generated by the model for a free choice between undesirable alternatives were confirmed in a new psychological experiment. The success of the consonance model underscores important, unforeseen similarities between what had been formerly regarded as the rather exotic process of dissonance reduction and a variety of other, more mundane psychological processes. Many of these processes can be understood as the progressive application of constraints supplied by beliefs and attitudes.

The Role of Motivation, Perceived Constraints, and Constraint Negotiation Strategies in Students' Internship Selection Experience

ERIC Educational Resources Information Center

Batty, Kimberly A.

2011-01-01

The purpose of this study was to document the factors (i.e., motivation and perceived constraints) and processes (i.e., constraint negotiation) that influence students' selection of and satisfaction with their internship choice. The study was conducted using a quantitative approach, which included a focus group, a pilot study, and a…

The constraints satisfaction problem approach in the design of an architectural functional layout

NASA Astrophysics Data System (ADS)

Zawidzki, Machi; Tateyama, Kazuyoshi; Nishikawa, Ikuko

2011-09-01

A design support system with a new strategy for finding the optimal functional configurations of rooms for architectural layouts is presented. A set of configurations satisfying given constraints is generated and ranked according to multiple objectives. The method can be applied to problems in architectural practice, urban or graphic design-wherever allocation of related geometrical elements of known shape is optimized. Although the methodology is shown using simplified examples-a single story residential building with two apartments each having two rooms-the results resemble realistic functional layouts. One example of a practical size problem of a layout of three apartments with a total of 20 rooms is demonstrated, where the generated solution can be used as a base for a realistic architectural blueprint. The discretization of design space is discussed, followed by application of a backtrack search algorithm used for generating a set of potentially 'good' room configurations. Next the solutions are classified by a machine learning method (FFN) as 'proper' or 'improper' according to the internal communication criteria. Examples of interactive ranking of the 'proper' configurations according to multiple criteria and choosing 'the best' ones are presented. The proposed framework is general and universal-the criteria, parameters and weights can be individually defined by a user and the search algorithm can be adjusted to a specific problem.

Self-Evaluation Processes in Life Satisfaction: Uncovering Measurement Non-Equivalence and Age-Related Differences

ERIC Educational Resources Information Center

Heidemeier, Heike; Staudinger, Ursula M.

2012-01-01

This study demonstrates how self-evaluation processes explain subgroup differences in ratings of life satisfaction (population heterogeneity). Life domains differ with regard to the constraints they impose on beliefs in internal control. We hypothesized that these differences are linked with cognitive biases in ratings of life satisfaction. In…

Solving Fuzzy Optimization Problem Using Hybrid Ls-Sa Method

NASA Astrophysics Data System (ADS)

Vasant, Pandian

2011-06-01

Fuzzy optimization problem has been one of the most and prominent topics inside the broad area of computational intelligent. It's especially relevant in the filed of fuzzy non-linear programming. It's application as well as practical realization can been seen in all the real world problems. In this paper a large scale non-linear fuzzy programming problem has been solved by hybrid optimization techniques of Line Search (LS), Simulated Annealing (SA) and Pattern Search (PS). As industrial production planning problem with cubic objective function, 8 decision variables and 29 constraints has been solved successfully using LS-SA-PS hybrid optimization techniques. The computational results for the objective function respect to vagueness factor and level of satisfaction has been provided in the form of 2D and 3D plots. The outcome is very promising and strongly suggests that the hybrid LS-SA-PS algorithm is very efficient and productive in solving the large scale non-linear fuzzy programming problem.

What is adaptive about adaptive decision making? A parallel constraint satisfaction account.

PubMed

Glöckner, Andreas; Hilbig, Benjamin E; Jekel, Marc

2014-12-01

There is broad consensus that human cognition is adaptive. However, the vital question of how exactly this adaptivity is achieved has remained largely open. Herein, we contrast two frameworks which account for adaptive decision making, namely broad and general single-mechanism accounts vs. multi-strategy accounts. We propose and fully specify a single-mechanism model for decision making based on parallel constraint satisfaction processes (PCS-DM) and contrast it theoretically and empirically against a multi-strategy account. To achieve sufficiently sensitive tests, we rely on a multiple-measure methodology including choice, reaction time, and confidence data as well as eye-tracking. Results show that manipulating the environmental structure produces clear adaptive shifts in choice patterns - as both frameworks would predict. However, results on the process level (reaction time, confidence), in information acquisition (eye-tracking), and from cross-predicting choice consistently corroborate single-mechanisms accounts in general, and the proposed parallel constraint satisfaction model for decision making in particular. Copyright © 2014 Elsevier B.V. All rights reserved.

The changing nature of nurses' job satisfaction: an exploration of sources of satisfaction in the 1990s.

PubMed

Tovey, E J; Adams, A E

1999-07-01

This paper focuses on the changing nature of nurses' job satisfaction. It compares the major sources of satisfaction and dissatisfaction experienced by acute ward nurses in the English National Health Service (NHS) in the early 1990s, with sources identified in previous research. In the light of findings from a pilot study, the suitability of existing research approaches and measurement tools for portraying nurses' contemporary work experiences is examined. The study comprised content analysis of a random sample of 130 nurses' comments about ward organizational issues, collected as part of a national survey. Findings suggest that new measurement tools need to be developed, because new sources of satisfaction and dissatisfaction emerged, directly associated with change arising out of the introduction of the NHS internal market. These include pressures associated with new roles, role conflict, lack of job security, 'tight' resources, using new technology, a perceived lowering of standards of patient care, coping with increased amounts of paperwork, and the experience of working in a rapidly and constantly changing environment. Findings also suggest that the nature of nurses' job satisfaction is increasingly being shaped by their position within the organization, denoted by clinical grade, and the organizational culture of individual NHS Trusts. Ward leaders experience dissatisfaction as a result of role conflict and strain, while nurses of lower clinical grades are increasingly concerned with managerial and resource constraints on their ability to provide good quality care. Nurses' satisfaction with management and morale were found to be significantly different between NHS Trusts. While findings may be specific to England, it is argued that they have relevance for the wider, international nursing community. This is because developing an understanding of the changing nature of nurses' job satisfaction may help to resolve recruitment and retention problems.

An Industrial Engineering Approach to Cost Containment of Pharmacy Education

PubMed Central

Bottenberg, Michelle; Chase, Marilea; Chesnut, Renae; Clarke, Cheryl; Schott, Kathryn; Torry, Ronald; Welty, Tim

2015-01-01

A 2-semester project explored employing teams of fourth-year industrial engineering students to optimize some of our academic management processes. Results included significant cost savings and increases in efficiency, effectiveness, and student and faculty satisfaction. While we did not adopt all of the students’ recommendations, we did learn some important lessons. For example, an initial investment of time in developing a mutually clear understanding of the problems, constraints, and goals maximizes the value of industrial engineering analysis and recommendations. Overall, industrial engineering was a valuable tool for optimizing certain academic management processes. PMID:26839421

Mission planning optimization of video satellite for ground multi-object staring imaging

NASA Astrophysics Data System (ADS)

Cui, Kaikai; Xiang, Junhua; Zhang, Yulin

2018-03-01

This study investigates the emergency scheduling problem of ground multi-object staring imaging for a single video satellite. In the proposed mission scenario, the ground objects require a specified duration of staring imaging by the video satellite. The planning horizon is not long, i.e., it is usually shorter than one orbit period. A binary decision variable and the imaging order are used as the design variables, and the total observation revenue combined with the influence of the total attitude maneuvering time is regarded as the optimization objective. Based on the constraints of the observation time windows, satellite attitude adjustment time, and satellite maneuverability, a constraint satisfaction mission planning model is established for ground object staring imaging by a single video satellite. Further, a modified ant colony optimization algorithm with tabu lists (Tabu-ACO) is designed to solve this problem. The proposed algorithm can fully exploit the intelligence and local search ability of ACO. Based on full consideration of the mission characteristics, the design of the tabu lists can reduce the search range of ACO and improve the algorithm efficiency significantly. The simulation results show that the proposed algorithm outperforms the conventional algorithm in terms of optimization performance, and it can obtain satisfactory scheduling results for the mission planning problem.

Robust model predictive control for optimal continuous drug administration.

PubMed

Sopasakis, Pantelis; Patrinos, Panagiotis; Sarimveis, Haralambos

2014-10-01

In this paper the model predictive control (MPC) technology is used for tackling the optimal drug administration problem. The important advantage of MPC compared to other control technologies is that it explicitly takes into account the constraints of the system. In particular, for drug treatments of living organisms, MPC can guarantee satisfaction of the minimum toxic concentration (MTC) constraints. A whole-body physiologically-based pharmacokinetic (PBPK) model serves as the dynamic prediction model of the system after it is formulated as a discrete-time state-space model. Only plasma measurements are assumed to be measured on-line. The rest of the states (drug concentrations in other organs and tissues) are estimated in real time by designing an artificial observer. The complete system (observer and MPC controller) is able to drive the drug concentration to the desired levels at the organs of interest, while satisfying the imposed constraints, even in the presence of modelling errors, disturbances and noise. A case study on a PBPK model with 7 compartments, constraints on 5 tissues and a variable drug concentration set-point illustrates the efficiency of the methodology in drug dosing control applications. The proposed methodology is also tested in an uncertain setting and proves successful in presence of modelling errors and inaccurate measurements. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Interrelationship of motivation for and perceived constraints to physical activity participation and the well-being of senior center participants

Treesearch

Motoko Miyake; Ellen Rodgers

2009-01-01

This study investigated the relationship of motivation for and perceived constraints to physical activity (PA) participation and the well-being of senior center participants. A survey instrument made up of modified versions of the Sport Motivation and Perceived Constraints Scales, the Life Satisfaction Index-Z, and the Geriatric Depression Scale was administered at the...

Prospective associations between adolescent mental health problems and positive mental wellbeing in early old age.

PubMed

Nishida, Atsushi; Richards, Marcus; Stafford, Mai

2016-01-01

Mental health problems in adolescence are predictive of future mental distress and psychopathology; however, few studies investigated adolescent mental health problems in relation to future mental wellbeing and none with follow-up to older age. To test prospective associations between adolescent mental health problems and mental wellbeing and life satisfaction in early old age. A total of 1561 men and women were drawn from the Medical Research Council National Survey of Health and Development (the British 1946 birth cohort). Teachers had previously completed rating scales to assess emotional adjustment and behaviours, which allowed us to extract factors of mental health problems measuring self-organisation, behavioural problems, and emotional problems during adolescence. Between the ages of 60-64 years, mental wellbeing was assessed using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) and life satisfaction was self-reported using the Satisfaction with Life Scale (SWLS). After controlling for gender, social class of origin, childhood cognitive ability, and educational attainment, adolescent emotional problems were independently inversely associated with mental wellbeing and with life satisfaction. Symptoms of anxiety/depression at 60-64 years explained the association with life satisfaction but not with mental wellbeing. Associations between adolescent self-organisation and conduct problems and mental wellbeing and life satisfaction were of negligible magnitude, but higher childhood cognitive ability significantly predicted poor life satisfaction in early old age. Adolescent self-organisation and conduct problems may not be predictive of future mental wellbeing and life satisfaction. Adolescent emotional problems may be inversely associated with future wellbeing, and may be associated with lower levels of future life satisfaction through symptoms of anxiety/depression in early old age. Initiatives to prevent and treat emotional problems in adolescence may have long-term benefits which extend into older age.

Adjunct Faculty Job Satisfaction in California Community Colleges: A Narrative Inquiry

ERIC Educational Resources Information Center

Nagle, Tonya

2016-01-01

The problem addressed in the qualitative narrative inquiry is the perceived level of adjunct faculty job satisfaction. The general problem is the inconclusive and contradictory information on job satisfaction for adjuncts nationwide. The specific problem is poor job satisfaction for adjunct faculty in California where adjuncts are 48% of the…

The chaos within Sudoku.

PubMed

Ercsey-Ravasz, Mária; Toroczkai, Zoltán

2012-01-01

The mathematical structure of Sudoku puzzles is akin to hard constraint satisfaction problems lying at the basis of many applications, including protein folding and the ground-state problem of glassy spin systems. Via an exact mapping of Sudoku into a deterministic, continuous-time dynamical system, here we show that the difficulty of Sudoku translates into transient chaotic behavior exhibited by this system. We also show that the escape rate κ, an invariant of transient chaos, provides a scalar measure of the puzzle's hardness that correlates well with human difficulty ratings. Accordingly, η = -log₁₀κ can be used to define a "Richter"-type scale for puzzle hardness, with easy puzzles having 0 < η ≤ 1, medium ones 1 < η ≤ 2, hard with 2 < η ≤ 3 and ultra-hard with η > 3. To our best knowledge, there are no known puzzles with η > 4.

The Chaos Within Sudoku

NASA Astrophysics Data System (ADS)

Ercsey-Ravasz, Mária; Toroczkai, Zoltán

2012-10-01

The mathematical structure of Sudoku puzzles is akin to hard constraint satisfaction problems lying at the basis of many applications, including protein folding and the ground-state problem of glassy spin systems. Via an exact mapping of Sudoku into a deterministic, continuous-time dynamical system, here we show that the difficulty of Sudoku translates into transient chaotic behavior exhibited by this system. We also show that the escape rate κ, an invariant of transient chaos, provides a scalar measure of the puzzle's hardness that correlates well with human difficulty ratings. Accordingly, η = -log10 κ can be used to define a ``Richter''-type scale for puzzle hardness, with easy puzzles having 0 < η <= 1, medium ones 1 < η <= 2, hard with 2 < η <= 3 and ultra-hard with η > 3. To our best knowledge, there are no known puzzles with η > 4.

Robust local search for spacecraft operations using adaptive noise

NASA Technical Reports Server (NTRS)

Fukunaga, Alex S.; Rabideau, Gregg; Chien, Steve

2004-01-01

Randomization is a standard technique for improving the performance of local search algorithms for constraint satisfaction. However, it is well-known that local search algorithms are constraints satisfaction. However, it is well-known that local search algorithms are to the noise values selected. We investigate the use of an adaptive noise mechanism in an iterative repair-based planner/scheduler for spacecraft operations. Preliminary results indicate that adaptive noise makes the use of randomized repair moves safe and robust; that is, using adaptive noise makes it possible to consistently achieve, performance comparable with the best tuned noise setting without the need for manually tuning the noise parameter.

Focusing on the golden ball metaheuristic: an extended study on a wider set of problems.

PubMed

Osaba, E; Diaz, F; Carballedo, R; Onieva, E; Perallos, A

2014-01-01

Nowadays, the development of new metaheuristics for solving optimization problems is a topic of interest in the scientific community. In the literature, a large number of techniques of this kind can be found. Anyway, there are many recently proposed techniques, such as the artificial bee colony and imperialist competitive algorithm. This paper is focused on one recently published technique, the one called Golden Ball (GB). The GB is a multiple-population metaheuristic based on soccer concepts. Although it was designed to solve combinatorial optimization problems, until now, it has only been tested with two simple routing problems: the traveling salesman problem and the capacitated vehicle routing problem. In this paper, the GB is applied to four different combinatorial optimization problems. Two of them are routing problems, which are more complex than the previously used ones: the asymmetric traveling salesman problem and the vehicle routing problem with backhauls. Additionally, one constraint satisfaction problem (the n-queen problem) and one combinatorial design problem (the one-dimensional bin packing problem) have also been used. The outcomes obtained by GB are compared with the ones got by two different genetic algorithms and two distributed genetic algorithms. Additionally, two statistical tests are conducted to compare these results.

Focusing on the Golden Ball Metaheuristic: An Extended Study on a Wider Set of Problems

PubMed Central

Osaba, E.; Diaz, F.; Carballedo, R.; Onieva, E.; Perallos, A.

2014-01-01

Nowadays, the development of new metaheuristics for solving optimization problems is a topic of interest in the scientific community. In the literature, a large number of techniques of this kind can be found. Anyway, there are many recently proposed techniques, such as the artificial bee colony and imperialist competitive algorithm. This paper is focused on one recently published technique, the one called Golden Ball (GB). The GB is a multiple-population metaheuristic based on soccer concepts. Although it was designed to solve combinatorial optimization problems, until now, it has only been tested with two simple routing problems: the traveling salesman problem and the capacitated vehicle routing problem. In this paper, the GB is applied to four different combinatorial optimization problems. Two of them are routing problems, which are more complex than the previously used ones: the asymmetric traveling salesman problem and the vehicle routing problem with backhauls. Additionally, one constraint satisfaction problem (the n-queen problem) and one combinatorial design problem (the one-dimensional bin packing problem) have also been used. The outcomes obtained by GB are compared with the ones got by two different genetic algorithms and two distributed genetic algorithms. Additionally, two statistical tests are conducted to compare these results. PMID:25165742

Sexual Distress and Sexual Problems During Pregnancy: Associations With Sexual and Relationship Satisfaction.

PubMed

Vannier, Sarah A; Rosen, Natalie O

2017-03-01

Sexual problems are common during pregnancy, but the proportion of pregnant women who experience sexual distress is unknown. In non-pregnant samples, sexual distress is associated with lower sexual and relationship satisfaction. To identify the proportion of women experiencing sexual distress during pregnancy and to compare the sexual and relationship satisfaction of women who report sexual distress during pregnancy with that of women without distress. Two-hundred sixty-one pregnant women completed a cross-sectional online survey. Women completed validated measurements of sexual functioning (Female Sexual Function Index; score < 26.55 indicates a sexual problem), sexual distress (Female Sexual Distress Scale; score ≥ 15 indicates clinically significant distress), sexual satisfaction (Global Measure of Sexual Satisfaction), and relationship satisfaction (Couples Satisfaction Index). Overall, 42% of women met the clinical cutoff for sexual distress. Of sexually active women (n = 230), 26% reported concurrent sexual problems and distress and 14% reported sexual distress in the absence of sexual problems. Sexual distress and/or problems in sexual functioning were linked to lower sexual and relationship satisfaction compared with pregnant women with lower sexual distress and fewer sexual problems. Sexual distress is common during pregnancy and associated with lower sexual and relationship satisfaction. Health care providers should ask pregnant women about feelings of sexual distress. Identifying pregnant women who experience sexual distress and referring them to appropriate resources could help minimize sexual and relationship problems during pregnancy. Vannier SA, Rosen NO. Sexual Distress and Sexual Problems During Pregnancy: Associations With Sexual and Relationship Satisfaction. J Sex Med 2017;14:387-395. Copyright © 2017 International Society for Sexual Medicine. Published by Elsevier Inc. All rights reserved.

Multiagent distributed watershed management

NASA Astrophysics Data System (ADS)

Giuliani, M.; Castelletti, A.; Amigoni, F.; Cai, X.

2012-04-01

Deregulation and democratization of water along with increasing environmental awareness are challenging integrated water resources planning and management worldwide. The traditional centralized approach to water management, as described in much of water resources literature, is often unfeasible in most of the modern social and institutional contexts. Thus it should be reconsidered from a more realistic and distributed perspective, in order to account for the presence of multiple and often independent Decision Makers (DMs) and many conflicting stakeholders. Game theory based approaches are often used to study these situations of conflict (Madani, 2010), but they are limited to a descriptive perspective. Multiagent systems (see Wooldridge, 2009), instead, seem to be a more suitable paradigm because they naturally allow to represent a set of self-interested agents (DMs and/or stakeholders) acting in a distributed decision process at the agent level, resulting in a promising compromise alternative between the ideal centralized solution and the actual uncoordinated practices. Casting a water management problem in a multiagent framework allows to exploit the techniques and methods that are already available in this field for solving distributed optimization problems. In particular, in Distributed Constraint Satisfaction Problems (DCSP, see Yokoo et al., 2000), each agent controls some variables according to his own utility function but has to satisfy inter-agent constraints; while in Distributed Constraint Optimization Problems (DCOP, see Modi et al., 2005), the problem is generalized by introducing a global objective function to be optimized that requires a coordination mechanism between the agents. In this work, we apply a DCSP-DCOP based approach to model a steady state hypothetical watershed management problem (Yang et al., 2009), involving several active human agents (i.e. agents who make decisions) and reactive ecological agents (i.e. agents representing environmental interests). Different scenarios of distributed management are simulated, i.e. a situation where all the agents act independently, a situation in which a global coordination takes place and in-between solutions. The solutions are compared with the ones presented in Yang et al. (2009), aiming to present more general multiagent approaches to solve distributed management problems.

The Affective Meanings of Automatic Social Behaviors: Three Mechanisms that Explain Priming

ERIC Educational Resources Information Center

Schroder, Tobias; Thagard, Paul

2013-01-01

The priming of concepts has been shown to influence peoples' subsequent actions, often unconsciously. We propose 3 mechanisms (psychological, cultural, and biological) as a unified explanation of such effects. (a) Primed concepts influence holistic representations of situations by parallel constraint satisfaction. (b) The constraints among…

Evaluation of stressors and coping strategies for stress in Indian anaesthesiologists

PubMed Central

Shidhaye, RV; Divekar, DS; Dhulkhed, VK; Goel, Gaurav; Gupta, Arunkumar; Shidhaye, Rahul

2011-01-01

Several studies have been done to assess job satisfaction and quantify effects of stressors on anaesthesiologists in different regions and countries. Studies related to stress in Indian anaesthesiologists are very limited, which prompted us to design this study not only to identify the stressors but also to find out how anaesthesiologists react to stress and devise means to minimize it to increase their job satisfaction levels. A set of questions was handed over personally to 200 anaesthesiologists at the national- and state-level anaesthesiology conferences and continuing medical educations with a request to return them duly filled in, with an assurance that confidentiality and anonymity would bemaintained. Main outcome measures were demographics, factors causing stress, how the responding anaesthesiologists and their colleagues react to it and methods they adopt to reduce stress at their workplace. Response rate was 96%. The total number of respondents was 192 (54% males and 46% females; juniors, 76%; and seniors, 24%). Identified stressors were as follows: time constraints (34%), medicolegal concerns (24%), interference with home life (22%), clinical problems (20%) and communication problems (9%). Different strategies for coping with stress were identified. This survey is just a beginning. Indian Society of Anaesthesiologists is requested to look into the matter and take it further on a larger scale by multicentric studies to lay down standards related to number of working hours, number of night-call duties per week, proper assistance, medicolegal protection, etc., which would not only reduce occupational stress but also improve efficiency and job satisfaction among anaesthesiologists. PMID:21713218

Reference governors for controlled belt restraint systems

NASA Astrophysics Data System (ADS)

van der Laan, E. P.; Heemels, W. P. M. H.; Luijten, H.; Veldpaus, F. E.; Steinbuch, M.

2010-07-01

Today's restraint systems typically include a number of airbags, and a three-point seat belt with load limiter and pretensioner. For the class of real-time controlled restraint systems, the restraint actuator settings are continuously manipulated during the crash. This paper presents a novel control strategy for these systems. The control strategy developed here is based on a combination of model predictive control and reference management, in which a non-linear device - a reference governor (RG) - is added to a primal closed-loop controlled system. This RG determines an optimal setpoint in terms of injury reduction and constraint satisfaction by solving a constrained optimisation problem. Prediction of the vehicle motion, required to predict future constraint violation, is included in the design and is based on past crash data, using linear regression techniques. Simulation results with MADYMO models show that, with ideal sensors and actuators, a significant reduction (45%) of the peak chest acceleration can be achieved, without prior knowledge of the crash. Furthermore, it is shown that the algorithms are sufficiently fast to be implemented online.

Terminal altitude maximization for Mars entry considering uncertainties

NASA Astrophysics Data System (ADS)

Cui, Pingyuan; Zhao, Zeduan; Yu, Zhengshi; Dai, Juan

2018-04-01

Uncertainties present in the Mars atmospheric entry process may cause state deviations from the nominal designed values, which will lead to unexpected performance degradation if the trajectory is designed merely based on the deterministic dynamic model. In this paper, a linear covariance based entry trajectory optimization method is proposed considering the uncertainties presenting in the initial states and parameters. By extending the elements of the state covariance matrix as augmented states, the statistical behavior of the trajectory is captured to reformulate the performance metrics and path constraints. The optimization problem is solved by the GPOPS-II toolbox in MATLAB environment. Monte Carlo simulations are also conducted to demonstrate the capability of the proposed method. Primary trading performances between the nominal deployment altitude and its dispersion can be observed by modulating the weights on the dispersion penalty, and a compromised result referring to maximizing the 3σ lower bound of the terminal altitude is achieved. The resulting path constraints also show better satisfaction in a disturbed environment compared with the nominal situation.

Association Between Sexual Problems and Relationship Satisfaction Among People With Cardiovascular Disease.

PubMed

Byrne, Molly; Murphy, Patrick; D'Eath, Maureen; Doherty, Sally; Jaarsma, Tiny

2017-05-01

Relationship satisfaction is generally positively correlated with sexual satisfaction, but this relation has been poorly examined in people with cardiovascular disease who are at increased risk of sexual problems compared with the general population. To document reported changes to sex after a diagnosis of cardiac disease and determine whether there is an association between sexual function and relationship satisfaction. Semistructured telephone interviews focused on relationship satisfaction and sexual problems were conducted with 201 people with cardiovascular disease who were currently in a sexual relationship with one main partner and were recruited from six hospital cardiac rehabilitation centers in Ireland. Comparisons between groups were conducted using t-tests and multivariate analysis of variance for continuous variables and χ 2 tests for categorical variables. Predictors of relationship satisfaction were assessed using multiple linear regression analysis. Data were gathered on demographic and clinical variables, sexual problems, and relationship satisfaction, including satisfaction with the physical, emotional, affection, and communication aspects of relationships. Just less than one third of participants (n = 61, 30.3%) reported that sex had changed for the worse since their cardiac event or diagnosis, with approximately half of these stating that this was a serious problem for them. Satisfaction with relationships was high among patients surveyed; more than 70% of the sample reported being very or extremely satisfied with the physical and emotional aspects and showing affection during sex. Satisfaction with communication about sex was lower, with only 58% reporting being very or extremely satisfied. We did not find significant associations between reporting of sexual problems or deterioration of sex as a result of disease and relationship satisfaction. Cardiac rehabilitation programs should address these sexual problems, potentially by enhancing communication within couples about sex. The strength is that data are presented on the sexual experiences and relationship satisfaction of a relatively large sample of people diagnosed with cardiac disease, a relatively underexplored research area. Limitations include the possibility of selection bias of study participants and bias associated with self-report measurement. Sexual problems were significant in this population but were not related to relationship satisfaction in this cross-sectional survey. Byrne M, Murphy P, D'Eath M, et al. Association Between Sexual Problems and Relationship Satisfaction Among People With Cardiovascular Disease. J Sex Med 2017;14:666-674. Copyright © 2017 International Society for Sexual Medicine. Published by Elsevier Inc. All rights reserved.

TemperSAT: A new efficient fair-sampling random k-SAT solver

NASA Astrophysics Data System (ADS)

Fang, Chao; Zhu, Zheng; Katzgraber, Helmut G.

The set membership problem is of great importance to many applications and, in particular, database searches for target groups. Recently, an approach to speed up set membership searches based on the NP-hard constraint-satisfaction problem (random k-SAT) has been developed. However, the bottleneck of the approach lies in finding the solution to a large SAT formula efficiently and, in particular, a large number of independent solutions is needed to reduce the probability of false positives. Unfortunately, traditional random k-SAT solvers such as WalkSAT are biased when seeking solutions to the Boolean formulas. By porting parallel tempering Monte Carlo to the sampling of binary optimization problems, we introduce a new algorithm (TemperSAT) whose performance is comparable to current state-of-the-art SAT solvers for large k with the added benefit that theoretically it can find many independent solutions quickly. We illustrate our results by comparing to the currently fastest implementation of WalkSAT, WalkSATlm.

Occupational therapists' job satisfaction in a changing hospital organisation--a time-geography-based study.

PubMed

Bendixen, Hans Jørgen; Ellegård, Kajsa

2014-01-01

To investigate occupational therapists' job satisfaction under a changing regime by using a time-geographic approach focusing on the therapists' everyday working lives. Nine occupational therapists at the Copenhagen University Hospital, Gentofte, Denmark. A mixed-method design was employed. Occupational therapists kept time-geographic diaries, and the results from them were grounded for individual, semi-structured in-depth interviews. Individual reflections on everyday working life were recorded. Transcribed statements from the interviews were analysed to determine factors influencing job satisfaction. The nine therapists kept diaries for one day a month for a total of 70 preselected days over a period of nine months; six participated in individual interviews. Four factors constraining OT job satisfaction were revealed. Economic concerns, new professional paradigms and methods in combination with a new organisational structure for the occupational therapy service caused uncertainty. In addition, decreasing possibilities for supervision by colleagues influenced job satisfaction. Opportunities for experiencing autonomy in everyday working life were described as facilitators for job satisfaction. The time-geographic and interview methods were useful in focusing on the job satisfaction of occupational therapists, who provided individual interpretations of the balance between autonomy and three types of constraints in everyday working life. The constraints related to organisation, power relations and - not least - how the organisational project of the department fitted in with OTs' individual projects. Matching of organisational and individual projects is of crucial importance, not only for OTs but for most workplaces where individuals are employed to serve patients in the healthcare sector.

The Chaos Within Sudoku

PubMed Central

Ercsey-Ravasz, Mária; Toroczkai, Zoltán

2012-01-01

The mathematical structure of Sudoku puzzles is akin to hard constraint satisfaction problems lying at the basis of many applications, including protein folding and the ground-state problem of glassy spin systems. Via an exact mapping of Sudoku into a deterministic, continuous-time dynamical system, here we show that the difficulty of Sudoku translates into transient chaotic behavior exhibited by this system. We also show that the escape rate κ, an invariant of transient chaos, provides a scalar measure of the puzzle's hardness that correlates well with human difficulty ratings. Accordingly, η = −log10 κ can be used to define a “Richter”-type scale for puzzle hardness, with easy puzzles having 0 < η ≤ 1, medium ones 1 < η ≤ 2, hard with 2 < η ≤ 3 and ultra-hard with η > 3. To our best knowledge, there are no known puzzles with η > 4. PMID:23061008

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

PubMed

Warid, Warid; Hizam, Hashim; Mariun, Norman; Abdul-Wahab, Noor Izzri

2016-01-01

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation

PubMed Central

Warid, Warid; Hizam, Hashim; Mariun, Norman; Abdul-Wahab, Noor Izzri

2016-01-01

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality. PMID:26954783

Integrated resource scheduling in a distributed scheduling environment

NASA Technical Reports Server (NTRS)

Zoch, David; Hall, Gardiner

1988-01-01

The Space Station era presents a highly-complex multi-mission planning and scheduling environment exercised over a highly distributed system. In order to automate the scheduling process, customers require a mechanism for communicating their scheduling requirements to NASA. A request language that a remotely-located customer can use to specify his scheduling requirements to a NASA scheduler, thus automating the customer-scheduler interface, is described. This notation, Flexible Envelope-Request Notation (FERN), allows the user to completely specify his scheduling requirements such as resource usage, temporal constraints, and scheduling preferences and options. The FERN also contains mechanisms for representing schedule and resource availability information, which are used in the inter-scheduler inconsistency resolution process. Additionally, a scheduler is described that can accept these requests, process them, generate schedules, and return schedule and resource availability information to the requester. The Request-Oriented Scheduling Engine (ROSE) was designed to function either as an independent scheduler or as a scheduling element in a network of schedulers. When used in a network of schedulers, each ROSE communicates schedule and resource usage information to other schedulers via the FERN notation, enabling inconsistencies to be resolved between schedulers. Individual ROSE schedules are created by viewing the problem as a constraint satisfaction problem with a heuristically guided search strategy.

The theory of reasoned action as parallel constraint satisfaction: towards a dynamic computational model of health behavior.

PubMed

Orr, Mark G; Thrush, Roxanne; Plaut, David C

2013-01-01

The reasoned action approach, although ubiquitous in health behavior theory (e.g., Theory of Reasoned Action/Planned Behavior), does not adequately address two key dynamical aspects of health behavior: learning and the effect of immediate social context (i.e., social influence). To remedy this, we put forth a computational implementation of the Theory of Reasoned Action (TRA) using artificial-neural networks. Our model re-conceptualized behavioral intention as arising from a dynamic constraint satisfaction mechanism among a set of beliefs. In two simulations, we show that constraint satisfaction can simultaneously incorporate the effects of past experience (via learning) with the effects of immediate social context to yield behavioral intention, i.e., intention is dynamically constructed from both an individual's pre-existing belief structure and the beliefs of others in the individual's social context. In a third simulation, we illustrate the predictive ability of the model with respect to empirically derived behavioral intention. As the first known computational model of health behavior, it represents a significant advance in theory towards understanding the dynamics of health behavior. Furthermore, our approach may inform the development of population-level agent-based models of health behavior that aim to incorporate psychological theory into models of population dynamics.

The Theory of Reasoned Action as Parallel Constraint Satisfaction: Towards a Dynamic Computational Model of Health Behavior

PubMed Central

Orr, Mark G.; Thrush, Roxanne; Plaut, David C.

2013-01-01

The reasoned action approach, although ubiquitous in health behavior theory (e.g., Theory of Reasoned Action/Planned Behavior), does not adequately address two key dynamical aspects of health behavior: learning and the effect of immediate social context (i.e., social influence). To remedy this, we put forth a computational implementation of the Theory of Reasoned Action (TRA) using artificial-neural networks. Our model re-conceptualized behavioral intention as arising from a dynamic constraint satisfaction mechanism among a set of beliefs. In two simulations, we show that constraint satisfaction can simultaneously incorporate the effects of past experience (via learning) with the effects of immediate social context to yield behavioral intention, i.e., intention is dynamically constructed from both an individual’s pre-existing belief structure and the beliefs of others in the individual’s social context. In a third simulation, we illustrate the predictive ability of the model with respect to empirically derived behavioral intention. As the first known computational model of health behavior, it represents a significant advance in theory towards understanding the dynamics of health behavior. Furthermore, our approach may inform the development of population-level agent-based models of health behavior that aim to incorporate psychological theory into models of population dynamics. PMID:23671603

The Distribution of Job Satisfaction among Young European Graduates: Does the Choice of Study Field Matter?

ERIC Educational Resources Information Center

Vila, Luis E.; Garcia-Aracil, Adela; Mora, Jose-Gines

2007-01-01

A student's choice of a field of study is a personal decision that combines individual tastes, inclinations, preferences, and prospects related to the working life with a number of financial and academic constraints. Therefore, the analysis of the effects of degree field on job satisfaction should also address the unobserved heterogeneity among…

Evaluating the link between human resource management decisions and patient satisfaction with quality of care.

PubMed

Oppel, Eva-Maria; Winter, Vera; Schreyögg, Jonas

Patient satisfaction with quality of care is becoming increasingly important in the competitive hospital market. Simultaneously, the growing shortage of clinical staff poses a considerable challenge to ensuring a high quality of care. In this context, a question emerges regarding whether and how human resource management (HRM) might serve as a means to reduce staff shortage problems and to increase patient satisfaction. Although considerable efforts have been devoted to understanding the concepts of patient satisfaction and HRM, little is known about the interrelationships between these concepts or about the link between staff shortage problems and patients' satisfaction with quality of care. The aim of this study was to investigate the relationship between strategic human resource management (SHRM), staff shortage problems, and patients' satisfaction with care. Furthermore, we analyze how the HRM decision to fill short-term vacancies through temporary staffing affects patient satisfaction. We differentiate between physicians and nurses. We develop and empirically test a theoretical model. The data (n = 165) are derived from a survey on SHRM that was sent to 732 German hospitals and from a survey on patient satisfaction that comprises 436,848 patient satisfaction ratings. We use a structural equation modeling approach to test the model. The results indicate that SHRM significantly reduces staff shortage problems for both occupational groups. Having fewer physician shortage problems is significantly associated with higher levels of patient satisfaction, whereas this effect is not significant for nurses. Furthermore, the use of temporary staffing considerably reduces patients' satisfaction with care. Hospital managers are advised to consider the effects of HRM decisions on patients' satisfaction with care. In particular, investments in SHRM targeted at physicians have significantly positive effects on patient satisfaction, whereas the temporary staffing of physicians and nurses should be avoided.

Marital Satisfaction, Parental Stress, and Child Behavior Problems among Parents of Young Children with Developmental Delays

ERIC Educational Resources Information Center

Robinson, Merideth; Neece, Cameron L.

2015-01-01

Studies have found that low marital satisfaction, parenting stress, and child behavior problems are linked in families of children with developmental delays (DD). However, previous investigations examining the relationships between parenting stress, child behavior problems, and marital satisfaction rarely examine the interrelationships of these…

Complex systems and health behavior change: insights from cognitive science.

PubMed

Orr, Mark G; Plaut, David C

2014-05-01

To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. The model exhibited clear signs of quantum-like behavior. Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

The effects of similarity in sexual excitation, inhibition, and mood on sexual arousal problems and sexual satisfaction in newlywed couples.

PubMed

Lykins, Amy D; Janssen, Erick; Newhouse, Sarah; Heiman, Julia R; Rafaeli, Eshkol

2012-05-01

Despite the importance of sexuality for romantic relationships, there has been little research attention to individual differences and dyadic variables, including couple similarity, and their association with sexual problems and satisfaction. The current study examined the effects of the propensity for sexual inhibition and sexual excitation scales (SIS/SES) and the effects of different mood states on sexuality (Mood and Sexuality Questionnaire [MSQ]), at both the individual and the dyad level, on sexual arousal problems and sexual satisfaction. Similarity in SIS/SES and MSQ was measured in a nonclinical sample of 35 newlywed couples and operationally defined as the within-couple, z-transformed correlations between the two partners' item responses. Sexual arousal problems were assessed using self-report measures (Demographic and Sexual History Questionnaire) and focused on the past 3 months. Sexual satisfaction was assessed using the Global Measure of Sexual Satisfaction. Regression analyses revealed that greater similarity in the effects of anxiety and stress on sexuality was associated with more reported sexual arousal problems of wives. In contrast, the husbands' sexual arousal problems were related only to their own higher SIS1 scores. Higher SES scores predicted lower sexual satisfaction for both husbands and wives. Wives who reported strong positive mood effects on their sexuality indicated greater sexual satisfaction, while husbands who were more similar to their wives in the effect of positive moods on sexuality indicated greater sexual satisfaction. The findings show that, above and beyond one's own sexual propensities, similarity in various aspects of sexuality predicts sexual problems (more so in women) and sexual satisfaction (in both men and women). © 2012 International Society for Sexual Medicine.

Comparison of passive and active leisure activities and life satisfaction with aging.

PubMed

Cho, Dongwook; Post, Jay; Kim, Sung Kyeom

2018-03-01

Many older adults face limitations to participating in active leisure activities as a result of their physical constraints from aging. Passive leisure activities become alternative leisure activities for older adults as a result of limited physical capacity. The present study sought to determine whether there exists a difference in the frequency of participation in passive and active leisure activities, and the effect of participation in passive and active leisure activities on the life satisfaction level of old adults. A total of 460 participants aged 60-95 years were randomly selected from 21 sites in the USA. The Life Satisfaction Index - Z and the Meaningful Activity Participation Assessment were analyzed to examine older adults' life satisfaction and frequency of active or passive activities. The results showed that participation in passive leisure activities, such reading, talking on the telephone and watching TV/listening to the radio, is more frequent among older adults (P = 0.000). The regression coefficient found that club/organization or volunteering (P = 0.008), homemaking/maintenance (P = 0.017) and traveling (P = 0.017) for active leisure activities were statistically significant predictors of Life Satisfaction Index - Z for older adults. The current study shows that older adults spent much more times participating in passive leisure activities, such as radio/watching TV, talking on the phone and reading. The result also showed that active leisure activities, such as club/organization or volunteering, home making/maintenance and traveling, were significant predictors of life satisfaction for older adults controlling for covariates. The current study suggests marketing and programming plans to overcome the constraints that influence older adults' life satisfaction. Geriatr Gerontol Int 2018; 18: 380-386. © 2017 Japan Geriatrics Society.

Distributed Constrained Optimization with Semicoordinate Transformations

NASA Technical Reports Server (NTRS)

Macready, William; Wolpert, David

2006-01-01

Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used to solve constrained optimization problems. This is done by translating the problem into an iterated game, where each agent controls a different variable of the problem, so that the joint probability distribution across the agents moves gives an expected value of the objective function. The dynamics of the agents is designed to minimize a Lagrangian function of that joint distribution. Here we illustrate how the updating of the Lagrange parameters in the Lagrangian is a form of automated annealing, which focuses the joint distribution more and more tightly about the joint moves that optimize the objective function. We then investigate the use of "semicoordinate" variable transformations. These separate the joint state of the agents from the variables of the optimization problem, with the two connected by an onto mapping. We present experiments illustrating the ability of such transformations to facilitate optimization. We focus on the special kind of transformation in which the statistically independent states of the agents induces a mixture distribution over the optimization variables. Computer experiment illustrate this for &sat constraint satisfaction problems and for unconstrained minimization of NK functions.

An On-Campus Botanical Tour to Promote Student Satisfaction and Learning in a University Level Biodiversity or General Biology Course

ERIC Educational Resources Information Center

Ratnayaka, Harish H.

2017-01-01

Outdoor, hands-on and experiential learning, as opposed to instruction-based learning in classroom, increases student satisfaction and motivation leading to a deeper understanding of the subject. However, the use of outdoor exercises in undergraduate biology courses is declining due to a variety of constraints. Thus, the goal of this paper is to…

Mothers and Sons: A Look at the Relationship between Child Behavior Problems, Marital Satisfaction, Maternal Depression, and Family Cohesion.

ERIC Educational Resources Information Center

Henderson, A. Davis; Sayger, Thomas V.; Horne, Arthur M.

2003-01-01

Assesses the interacting relationship between child behavior problems, marital satisfaction, maternal depression, and family cohesion in 43 mothers and school-aged boys. Results suggest that mothers with depressive symptoms report lower levels of marital satisfaction and higher levels of child behavior problems. Findings also suggest that maternal…

Exploring direct and indirect influences of physical work environment on job satisfaction for early-career registered nurses employed in hospitals.

PubMed

Djukic, Maja; Kovner, Christine T; Brewer, Carol S; Fatehi, Farida; Greene, William H

2014-08-01

We explored direct and indirect influences of physical work environment on job satisfaction in a nationally representative sample of 1,141 early-career registered nurses. In the fully specified model, physical work environment had a non-significant direct effect on job satisfaction. The path analysis used to test multiple indirect effects showed that physical work environment had a positive indirect effect (p < .05) on job satisfaction through ten variables: negative affectivity, variety, workgroup cohesion, nurse-physician relations, quantitative workload, organizational constraints, distributive justice, promotional opportunity, local and non-local job opportunities. The findings make important contributions to the understanding of the relationship between physical work environment and job satisfaction. The results can inform health care leaders' insight about how physical work environment influences nurses' job satisfaction. © 2014 Wiley Periodicals, Inc.

[Problem-solving strategies and marital satisfaction].

PubMed

Kriegelewicz, Olga

2006-01-01

This study investigated the relation between problem-solving strategies in the marital conflict and marital satisfaction. Four problem-solving strategies (Dialogue, Loyalty, Escalation of conflict and Withdrawal) were measured by the Problem-Solving Strategies Inventory, in two versions: self-report and report of partners' perceived behaviour. This measure refers to the concept of Rusbult, Johnson and Morrow, and meets high standards of reliability (alpha Cronbach from alpha = 0.78 to alpha = 0.94) and validity. Marital satisfaction was measured by Marriage Success Scale. The sample was composed of 147 marital couples. The study revealed that satisfied couples, in comparison with non-satisfied couples, tend to use constructive problem-solving strategies (Dialogue and Loyalty). They rarely use destructive strategies like Escalation of conflict or Withdrawal. Dialogue is the strategy connected with satisfaction in a most positive manner. These might be very important guidelines to couples' psychotherapy. Loyalty to oneself is a significant positive predictor of male satisfaction is also own Loyalty. The study shows that constructive attitudes are the most significant predictors of marriage satisfaction. It is therefore worth concentrating mostly on them in the psychotherapeutic process instead of eliminating destructive attitudes.

Work Environment Questionnaires and Army Unit Effectiveness and Satisfaction Measures

DTIC Science & Technology

1977-09-01

satisfaction indices (retention rates and disciplinary actions) and place more emphasis on these outcomes. In balance , the work environment and...last me a year"), and that "effective" supervisors and organizations planned carefully to stay within these constraints and balance expenditures over...scale was out of balance with its higher end. Most instruments reviewed used Likert scales with numerical anchors; very few provided specific descriptive

Analysis of NPS Contracting Service Quality

DTIC Science & Technology

2014-12-01

customer expectations is what they “hear from other customers ” or word of mouth communications (Zeithaml et al., 1990). The second factor... satisfaction and customer satisfaction (Hallowell et al., 1996). If a service quality gap exists between the provider and the customer , that gap could...identify a problem with provider job satisfaction , customer satisfaction , or both. In turn, by identifying potential problems in these areas, it could

Probing for quantum speedup in spin-glass problems with planted solutions

NASA Astrophysics Data System (ADS)

Hen, Itay; Job, Joshua; Albash, Tameem; Rønnow, Troels F.; Troyer, Matthias; Lidar, Daniel A.

2015-10-01

The availability of quantum annealing devices with hundreds of qubits has made the experimental demonstration of a quantum speedup for optimization problems a coveted, albeit elusive goal. Going beyond earlier studies of random Ising problems, here we introduce a method to construct a set of frustrated Ising-model optimization problems with tunable hardness. We study the performance of a D-Wave Two device (DW2) with up to 503 qubits on these problems and compare it to a suite of classical algorithms, including a highly optimized algorithm designed to compete directly with the DW2. The problems are generated around predetermined ground-state configurations, called planted solutions, which makes them particularly suitable for benchmarking purposes. The problem set exhibits properties familiar from constraint satisfaction (SAT) problems, such as a peak in the typical hardness of the problems, determined by a tunable clause density parameter. We bound the hardness regime where the DW2 device either does not or might exhibit a quantum speedup for our problem set. While we do not find evidence for a speedup for the hardest and most frustrated problems in our problem set, we cannot rule out that a speedup might exist for some of the easier, less frustrated problems. Our empirical findings pertain to the specific D-Wave processor and problem set we studied and leave open the possibility that future processors might exhibit a quantum speedup on the same problem set.

Considering social and environmental concerns as reservoir operating objectives

NASA Astrophysics Data System (ADS)

Tilmant, A.; Georis, B.; Doulliez, P.

2003-04-01

Sustainability principles are now widely recognized as key criteria for water resource development schemes, such as hydroelectric and multipurpose reservoirs. Development decisions no longer rely solely on economic grounds, but also consider environmental and social concerns through the so-called environmental and social impact assessments. The objective of this paper is to show that environmental and social concerns can also be addressed in the management (operation) of existing or projected reservoir schemes. By either adequately exploiting the results of environmental and social impact assessments, or by carrying out survey of water users, experts and managers, efficient (Pareto optimal) reservoir operating rules can be derived using flexible mathematical programming techniques. By reformulating the problem as a multistage flexible constraint satisfaction problem, incommensurable and subjective operating objectives can contribute, along with classical economic objectives, to the determination of optimal release decisions. Employed in a simulation mode, the results can be used to assess the long-term impacts of various operating rules on the social well-being of affected populations as well as on the integrity of the environment. The methodology is illustrated with a reservoir reallocation problem in Chile.

Enhanced Fuel-Optimal Trajectory-Generation Algorithm for Planetary Pinpoint Landing

NASA Technical Reports Server (NTRS)

Acikmese, Behcet; Blackmore, James C.; Scharf, Daniel P.

2011-01-01

An enhanced algorithm is developed that builds on a previous innovation of fuel-optimal powered-descent guidance (PDG) for planetary pinpoint landing. The PDG problem is to compute constrained, fuel-optimal trajectories to land a craft at a prescribed target on a planetary surface, starting from a parachute cut-off point and using a throttleable descent engine. The previous innovation showed the minimal-fuel PDG problem can be posed as a convex optimization problem, in particular, as a Second-Order Cone Program, which can be solved to global optimality with deterministic convergence properties, and hence is a candidate for onboard implementation. To increase the speed and robustness of this convex PDG algorithm for possible onboard implementation, the following enhancements are incorporated: 1) Fast detection of infeasibility (i.e., control authority is not sufficient for soft-landing) for subsequent fault response. 2) The use of a piecewise-linear control parameterization, providing smooth solution trajectories and increasing computational efficiency. 3) An enhanced line-search algorithm for optimal time-of-flight, providing quicker convergence and bounding the number of path-planning iterations needed. 4) An additional constraint that analytically guarantees inter-sample satisfaction of glide-slope and non-sub-surface flight constraints, allowing larger discretizations and, hence, faster optimization. 5) Explicit incorporation of Mars rotation rate into the trajectory computation for improved targeting accuracy. These enhancements allow faster convergence to the fuel-optimal solution and, more importantly, remove the need for a "human-in-the-loop," as constraints will be satisfied over the entire path-planning interval independent of step-size (as opposed to just at the discrete time points) and infeasible initial conditions are immediately detected. Finally, while the PDG stage is typically only a few minutes, ignoring the rotation rate of Mars can introduce 10s of meters of error. By incorporating it, the enhanced PDG algorithm becomes capable of pinpoint targeting.

How Do Severe Constraints Affect the Search Ability of Multiobjective Evolutionary Algorithms in Water Resources?

NASA Astrophysics Data System (ADS)

Clarkin, T. J.; Kasprzyk, J. R.; Raseman, W. J.; Herman, J. D.

2015-12-01

This study contributes a diagnostic assessment of multiobjective evolutionary algorithm (MOEA) search on a set of water resources problem formulations with different configurations of constraints. Unlike constraints in classical optimization modeling, constraints within MOEA simulation-optimization represent limits on acceptable performance that delineate whether solutions within the search problem are feasible. Constraints are relevant because of the emergent pressures on water resources systems: increasing public awareness of their sustainability, coupled with regulatory pressures on water management agencies. In this study, we test several state-of-the-art MOEAs that utilize restricted tournament selection for constraint handling on varying configurations of water resources planning problems. For example, a problem that has no constraints on performance levels will be compared with a problem with several severe constraints, and a problem with constraints that have less severe values on the constraint thresholds. One such problem, Lower Rio Grande Valley (LRGV) portfolio planning, has been solved with a suite of constraints that ensure high reliability, low cost variability, and acceptable performance in a single year severe drought. But to date, it is unclear whether or not the constraints are negatively affecting MOEAs' ability to solve the problem effectively. Two categories of results are explored. The first category uses control maps of algorithm performance to determine if the algorithm's performance is sensitive to user-defined parameters. The second category uses run-time performance metrics to determine the time required for the algorithm to reach sufficient levels of convergence and diversity on the solution sets. Our work exploring the effect of constraints will better enable practitioners to define MOEA problem formulations for real-world systems, especially when stakeholders are concerned with achieving fixed levels of performance according to one or more metrics.

Dynamic motion planning of 3D human locomotion using gradient-based optimization.

PubMed

Kim, Hyung Joo; Wang, Qian; Rahmatalla, Salam; Swan, Colby C; Arora, Jasbir S; Abdel-Malek, Karim; Assouline, Jose G

2008-06-01

Since humans can walk with an infinite variety of postures and limb movements, there is no unique solution to the modeling problem to predict human gait motions. Accordingly, we test herein the hypothesis that the redundancy of human walking mechanisms makes solving for human joint profiles and force time histories an indeterminate problem best solved by inverse dynamics and optimization methods. A new optimization-based human-modeling framework is thus described for predicting three-dimensional human gait motions on level and inclined planes. The basic unknowns in the framework are the joint motion time histories of a 25-degree-of-freedom human model and its six global degrees of freedom. The joint motion histories are calculated by minimizing an objective function such as deviation of the trunk from upright posture that relates to the human model's performance. A variety of important constraints are imposed on the optimization problem, including (1) satisfaction of dynamic equilibrium equations by requiring the model's zero moment point (ZMP) to lie within the instantaneous geometrical base of support, (2) foot collision avoidance, (3) limits on ground-foot friction, and (4) vanishing yawing moment. Analytical forms of objective and constraint functions are presented and discussed for the proposed human-modeling framework in which the resulting optimization problems are solved using gradient-based mathematical programming techniques. When the framework is applied to the modeling of bipedal locomotion on level and inclined planes, acyclic human walking motions that are smooth and realistic as opposed to less natural robotic motions are obtained. The aspects of the modeling framework requiring further investigation and refinement, as well as potential applications of the framework in biomechanics, are discussed.

An Optimizing Space Data-Communications Scheduling Method and Algorithm with Interference Mitigation, Generalized for a Broad Class of Optimization Problems

NASA Technical Reports Server (NTRS)

Rash, James

2014-01-01

NASA's space data-communications infrastructure-the Space Network and the Ground Network-provide scheduled (as well as some limited types of unscheduled) data-communications services to user spacecraft. The Space Network operates several orbiting geostationary platforms (the Tracking and Data Relay Satellite System (TDRSS)), each with its own servicedelivery antennas onboard. The Ground Network operates service-delivery antennas at ground stations located around the world. Together, these networks enable data transfer between user spacecraft and their mission control centers on Earth. Scheduling data-communications events for spacecraft that use the NASA communications infrastructure-the relay satellites and the ground stations-can be accomplished today with software having an operational heritage dating from the 1980s or earlier. An implementation of the scheduling methods and algorithms disclosed and formally specified herein will produce globally optimized schedules with not only optimized service delivery by the space data-communications infrastructure but also optimized satisfaction of all user requirements and prescribed constraints, including radio frequency interference (RFI) constraints. Evolutionary algorithms, a class of probabilistic strategies for searching large solution spaces, is the essential technology invoked and exploited in this disclosure. Also disclosed are secondary methods and algorithms for optimizing the execution efficiency of the schedule-generation algorithms themselves. The scheduling methods and algorithms as presented are adaptable to accommodate the complexity of scheduling the civilian and/or military data-communications infrastructure within the expected range of future users and space- or ground-based service-delivery assets. Finally, the problem itself, and the methods and algorithms, are generalized and specified formally. The generalized methods and algorithms are applicable to a very broad class of combinatorial-optimization problems that encompasses, among many others, the problem of generating optimal space-data communications schedules.

Antidepressants: Which Cause the Fewest Sexual Side Effects?

MedlinePlus

... problems Orgasm problems Problems with arousal, comfort and satisfaction The severity of sexual side effects depends on ... Impact of antidepressant drugs on sexual function and satisfaction. CNS Drugs. 2015;29:905. La Torre A, ...

Psychometric testing of the clinical nurse leader staff satisfaction instrument.

PubMed

Spiva, LeeAnna; Hart, Patricia L; Wesley, Mary Lou; Gallagher, Erin; McVay, Frank; Waggoner, Jessica; Jarrell, Nicole; Threatt, Jamie L

2014-01-01

Patient care is changing rapidly with increased complexity of care, patient volumes, and financial constraints with rising health care costs and limited reimbursements. In response, the clinical nurse leader (CNL) role was developed. No appropriate instrument exists to measure staff satisfaction with the CNL role. This study describes the development and testing of an instrument designed to measure staff satisfaction with implementation of the CNL role. The psychometric properties and factor structure of the Clinical Nurse Leader Staff Satisfaction (CNLSS) instrument was examined. A 2-factor solution was discovered for the CNLSS. Cronbach's alpha coefficients were acceptable for the subscales and instrument. The CNLSS is a valid and reliable instrument. Future research should focus on establishing test-retest reliability and construct validity.

Formal Approach For Resilient Reachability based on End-System Route Agility

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rauf, Usman; Gillani, Fida; Al-Shaer, Ehab

The deterministic nature of existing routing protocols has resulted into an ossified Internet with static and predictable network routes. This gives persistent attackers (e.g. eavesdroppers and DDoS attackers) plenty of time to study the network and identify the vulnerable links (critical) to plan a devastating and stealthy attack. Recently, route mutation approaches have been proposed to address such issues. However, these approaches incur significantly high overhead and depend upon the availability of disjoint routes in the network, which inherently limit their use for mission critical services. To cope with these issues, we extend the current routing architecture to consider end-hostsmore » as routing elements, and present a formal method based agile defense mechanism to increase resiliency of the existing cyber infrastructure. The major contributions of this paper include: (1) formalization of efficient and resilient End to End (E2E) reachability problem as a constraint satisfaction problem, which identifies the potential end-hosts to reach a destination while satisfying resilience and QoS constraints, (2) design and implementation of a novel decentralized End Point Route Mutation (EPRM) protocol, and (3) design and implementation of planning algorithm to minimize the overlap between multiple flows, for the sake of maximizing the agility in the system. Our implementation and evaluation validates the correctness, effectiveness and scalability of the proposed approach.« less

Producing Satisfactory Solutions to Scheduling Problems: An Iterative Constraint Relaxation Approach

NASA Technical Reports Server (NTRS)

Chien, S.; Gratch, J.

1994-01-01

One drawback to using constraint-propagation in planning and scheduling systems is that when a problem has an unsatisfiable set of constraints such algorithms typically only show that no solution exists. While, technically correct, in practical situations, it is desirable in these cases to produce a satisficing solution that satisfies the most important constraints (typically defined in terms of maximizing a utility function). This paper describes an iterative constraint relaxation approach in which the scheduler uses heuristics to progressively relax problem constraints until the problem becomes satisfiable. We present empirical results of applying these techniques to the problem of scheduling spacecraft communications for JPL/NASA antenna resources.

Life satisfaction and self-reported problems after spinal cord injury: measurement of underlying dimensions.

PubMed

Krause, James S; Reed, Karla S

2009-08-01

Evaluate the utility of the current 7-scale structure of the Life Situation Questionnaire-Revised (LSQ-R) using confirmatory factor analysis (CFA) and explore the factor structure of each set of items. Adults (N = 1,543) with traumatic spinal cord injury (SCI) were administered the 20 satisfaction and 30 problems items from the LSQ-R. CFA suggests that the existing 7-scale structure across the 50 items was within the acceptable range (root-mean-square error of approximation [RMSEA] = 0.078), although it fell just outside of this range for women. Factor analysis revealed 3 satisfaction factors and 6 problems factors. The overall fit of the problems items (RMSEA = 0.070) was superior to that of the satisfaction items (RMSEA = 0.80). RMSEA fell just outside of the acceptable range for Whites and men on the satisfaction scales. All scales had acceptable internal consistency. Results suggest the original scoring of the LSQ-R remains viable, although individual results should be reviewed for special population. Factor analysis of subsets of items allows satisfaction and problems items to be used independently, depending on the study purpose. (c) 2009 APA

Minimal investment risk of a portfolio optimization problem with budget and investment concentration constraints

NASA Astrophysics Data System (ADS)

Shinzato, Takashi

2017-02-01

In the present paper, the minimal investment risk for a portfolio optimization problem with imposed budget and investment concentration constraints is considered using replica analysis. Since the minimal investment risk is influenced by the investment concentration constraint (as well as the budget constraint), it is intuitive that the minimal investment risk for the problem with an investment concentration constraint can be larger than that without the constraint (that is, with only the budget constraint). Moreover, a numerical experiment shows the effectiveness of our proposed analysis. In contrast, the standard operations research approach failed to identify accurately the minimal investment risk of the portfolio optimization problem.

Insight into the ten-penny problem: guiding search by constraints and maximization.

PubMed

Öllinger, Michael; Fedor, Anna; Brodt, Svenja; Szathmáry, Eörs

2017-09-01

For a long time, insight problem solving has been either understood as nothing special or as a particular class of problem solving. The first view implicates the necessity to find efficient heuristics that restrict the search space, the second, the necessity to overcome self-imposed constraints. Recently, promising hybrid cognitive models attempt to merge both approaches. In this vein, we were interested in the interplay of constraints and heuristic search, when problem solvers were asked to solve a difficult multi-step problem, the ten-penny problem. In three experimental groups and one control group (N = 4 × 30) we aimed at revealing, what constraints drive problem difficulty in this problem, and how relaxing constraints, and providing an efficient search criterion facilitates the solution. We also investigated how the search behavior of successful problem solvers and non-solvers differ. We found that relaxing constraints was necessary but not sufficient to solve the problem. Without efficient heuristics that facilitate the restriction of the search space, and testing the progress of the problem solving process, the relaxation of constraints was not effective. Relaxing constraints and applying the search criterion are both necessary to effectively increase solution rates. We also found that successful solvers showed promising moves earlier and had a higher maximization and variation rate across solution attempts. We propose that this finding sheds light on how different strategies contribute to solving difficult problems. Finally, we speculate about the implications of our findings for insight problem solving.

Life Satisfaction among High School Students with Social, Emotional, and Behavioral Problems

ERIC Educational Resources Information Center

State, Talida M.; Kern, Lee

2017-01-01

Over the last decade, there has been increased interest in measuring life satisfaction among children and adolescents as an indicator of broad well-being and happiness. Although limited, existing research with students with social, emotional, and behavioral (SEB) problems indicates they experience lower life satisfaction compared with their…

Introducing Problem-Based Learning to Undergraduate IT Service Management Course: Student Satisfaction and Work Performance

ERIC Educational Resources Information Center

Anicic, Katarina Pažur; Mekovec, Renata

2016-01-01

This paper describes the implementation of problem-based learning (PBL) principles in an undergraduate IT service management course, followed by the results about student satisfaction and work performance. The results indicate the students' general satisfaction with the course implementation, as well as some challenges regarding the…

A global approach to kinematic path planning to robots with holonomic and nonholonomic constraints

NASA Technical Reports Server (NTRS)

Divelbiss, Adam; Seereeram, Sanjeev; Wen, John T.

1993-01-01

Robots in applications may be subject to holonomic or nonholonomic constraints. Examples of holonomic constraints include a manipulator constrained through the contact with the environment, e.g., inserting a part, turning a crank, etc., and multiple manipulators constrained through a common payload. Examples of nonholonomic constraints include no-slip constraints on mobile robot wheels, local normal rotation constraints for soft finger and rolling contacts in grasping, and conservation of angular momentum of in-orbit space robots. The above examples all involve equality constraints; in applications, there are usually additional inequality constraints such as robot joint limits, self collision and environment collision avoidance constraints, steering angle constraints in mobile robots, etc. The problem of finding a kinematically feasible path that satisfies a given set of holonomic and nonholonomic constraints, of both equality and inequality types is addressed. The path planning problem is first posed as a finite time nonlinear control problem. This problem is subsequently transformed to a static root finding problem in an augmented space which can then be iteratively solved. The algorithm has shown promising results in planning feasible paths for redundant arms satisfying Cartesian path following and goal endpoint specifications, and mobile vehicles with multiple trailers. In contrast to local approaches, this algorithm is less prone to problems such as singularities and local minima.

A survey of methods of feasible directions for the solution of optimal control problems

NASA Technical Reports Server (NTRS)

Polak, E.

1972-01-01

Three methods of feasible directions for optimal control are reviewed. These methods are an extension of the Frank-Wolfe method, a dual method devised by Pironneau and Polack, and a Zontendijk method. The categories of continuous optimal control problems are shown as: (1) fixed time problems with fixed initial state, free terminal state, and simple constraints on the control; (2) fixed time problems with inequality constraints on both the initial and the terminal state and no control constraints; (3) free time problems with inequality constraints on the initial and terminal states and simple constraints on the control; and (4) fixed time problems with inequality state space contraints and constraints on the control. The nonlinear programming algorithms are derived for each of the methods in its associated category.

A Design of Product Collaborative Online Configuration Model

NASA Astrophysics Data System (ADS)

Wang, Xiaoguo; Zheng, Jin; Zeng, Qian

According to the actual needs of mass customization, the personalization of product and its collaborative design, the paper analyzes and studies the working mechanism of modular-based product configuration technology and puts forward an information model of modular product family. Combined with case-based reasoning techniques (CBR) and the constraint satisfaction problem solving techniques (CSP), we design and study the algorithm for product configuration, and analyze its time complexity. A car chassis is made as the application object, we provide a prototype system of online configuration. Taking advantage of this system, designers can make appropriate changes on the existing programs in accordance with the demand. This will accelerate all aspects of product development and shorten the product cycle. Also the system will provide a strong technical support for enterprises to improve their market competitiveness.

Teaching People to Manage Constraints: Effects on Creative Problem-Solving

ERIC Educational Resources Information Center

Peterson, David R.; Barrett, Jamie D.; Hester, Kimberly S.; Robledo, Issac C.; Hougen, Dean F.; Day, Eric A.; Mumford, Michael D.

2013-01-01

Constraints often inhibit creative problem-solving. This study examined the impact of training strategies for managing constraints on creative problem-solving. Undergraduates, 218 in all, were asked to work through 1 to 4 self-paced instructional programs focused on constraint management strategies. The quality, originality, and elegance of…

Consequences of fathers' participation in family work: parents' role strain and well-being.

PubMed

Baruch, G K; Barnett, R C

1986-11-01

The relation of fathers' participation in family work (child care and home chores) to parents' role strain and well-being was examined in an interview study of 160 Caucasian middle-class fathers and mothers of kindergarten and fourth-grade children. In half of the families, mothers were employed. Four forms of paternal participation were examined. Role-strain items referred to immediate and specific problems such as time and energy constraints and role conflicts. Well-being measures assessed self-esteem, life satisfaction, and quality of experience in the parental and marital roles. Regression analyses, carried out separately for fathers and for mothers, indicated that, contrary to expectation, when the level of fathers' participation was controlled maternal employment did not condition the relation between participation and the outcome variables. Findings varied for the different forms of participation. For fathers, higher levels of participation were associated with feeling more involved and competent as a parent and with being more critical of wives' patterns and parenting. For mothers, those whose husbands were more participant praised their husbands' parenting, but they were lower in life satisfaction and were more self-critical about their balance of work and family responsibilities.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mahault, Benoit Alexandre; Saxena, Avadh Behari; Nisoli, Cristiano

We introduce a minimal agent-based model to qualitatively conceptualize the allocation of limited wealth among more abundant opportunities. We study the interplay of power, satisfaction and frustration in the problem of wealth distribution, concentration, and inequality. This framework allows us to compare subjective measures of frustration and satisfaction to collective measures of fairness in wealth distribution, such as the Lorenz curve and the Gini index. We find that a completely libertarian, law-of-the-jungle setting, where every agent can acquire wealth from, or lose wealth to, anybody else invariably leads to a complete polarization of the distribution of wealth vs. opportunity, onlymore » minimally ameliorated by disorder in a non-optimized society. The picture is however dramatically modified when hard constraints are imposed over agents, and they are forced to share wealth with neighbors on a network. We discuss the case of random networks and scale free networks. We then propose an out of equilibrium dynamics of the networks, based on a competition of power and frustration in the decision-making of agents that leads to network evolution. We show that the ratio of power and frustration controls different dynamical regimes separated by kinetic transition and characterized by drastically different values of the indices of equality.« less

Men with Sexual Problems and Their Partners: Findings from the International Survey of Relationships.

PubMed

Rosen, Raymond C; Heiman, Julia R; Long, J Scott; Fisher, William A; Sand, Michael S

2016-01-01

Epidemiologic studies of sexual function problems in men have focused on the individual male and related sociodemographic characteristics, individual risk factors and lifestyle concomitants, or medical comorbidities. Insufficient attention has been given to the role of sexual and relationship satisfaction and, more particularly, to the perspective of the couple as causes or correlates of sexual problems in men or women. Previously, we reported results of the first large, multi-national study of sexual satisfaction and relationship happiness in 1,009 midlife and older couples in five countries (Brazil, Germany, Japan, Spain, U.S.). For the present study, we examined, within each problem, the association of four major sexual problems in men (loss of sexual desire, erectile problems, premature ejaculation, delayed/absent orgasm) and multiple problems, with male and female partners' assessments of physical intimacy, sexual satisfaction, and relationship happiness, as well as associations with well-known health and psychosocial correlates of sexual problems in men. Sexual problem rates of men in our survey were generally similar to rates observed in past surveys in the general population, and similar risk factors (age, relationship duration, overall health) were associated with lack of desire, anorgasmia, or erection difficulties in our sample. As in previous surveys, there were few correlates of premature ejaculation. As predicted, men with one or more sexual problems reported decreased relationship happiness as well as decreased sexual satisfaction compared to men without sexual problems. Moreover, female partners of men with sexual problems had reduced relationship happiness and sexual satisfaction, although these latter outcomes were less affected in the women than the men. The association of men's sexual problems with men's and women's satisfaction and relationship happiness were modest, as these couples in long-term, committed relationships were notable for their relatively high levels of physical affection and relationship happiness.

A sequential solution for anisotropic total variation image denoising with interval constraints

NASA Astrophysics Data System (ADS)

Xu, Jingyan; Noo, Frédéric

2017-09-01

We show that two problems involving the anisotropic total variation (TV) and interval constraints on the unknown variables admit, under some conditions, a simple sequential solution. Problem 1 is a constrained TV penalized image denoising problem; problem 2 is a constrained fused lasso signal approximator. The sequential solution entails finding first the solution to the unconstrained problem, and then applying a thresholding to satisfy the constraints. If the interval constraints are uniform, this sequential solution solves problem 1. If the interval constraints furthermore contain zero, the sequential solution solves problem 2. Here uniform interval constraints refer to all unknowns being constrained to the same interval. A typical example of application is image denoising in x-ray CT, where the image intensities are non-negative as they physically represent linear attenuation coefficient in the patient body. Our results are simple yet seem unknown; we establish them using the Karush-Kuhn-Tucker conditions for constrained convex optimization.

Job satisfaction, job stress and psychosomatic health problems in software professionals in India

PubMed Central

Madhura, Sahukar; Subramanya, Pailoor; Balaram, Pradhan

2014-01-01

This questionnaire based study investigates correlation between job satisfaction, job stress and psychosomatic health in Indian software professionals. Also, examines how yoga practicing Indian software professionals cope up with stress and psychosomatic health problems. The sample consisted of yoga practicing and non-yoga practicing Indian software professionals working in India. The findings of this study have shown that there is significant correlation among job satisfaction, job stress and health. In Yoga practitioners job satisfaction is not significantly related to Psychosomatic health whereas in non-yoga group Psychosomatic Health symptoms showed significant relationship with Job satisfaction. PMID:25598623

Trading a Problem-solving Task

NASA Astrophysics Data System (ADS)

Matsubara, Shigeo

This paper focuses on a task allocation problem, especially cases where the task is to find a solution in a search problem or a constraint satisfaction problem. If the search problem is hard to solve, a contractor may fail to find a solution. Here, the more computational resources such as the CPU time the contractor invests in solving the search problem, the more a solution is likely to be found. This brings about a new problem that a contractee has to find an appropriate level of the quality in a task achievement as well as to find an efficient allocation of a task among contractors. For example, if the contractee asks the contractor to find a solution with certainty, the payment from the contractee to the contractor may exceed the contractee's benefit from obtaining a solution, which discourages the contractee from trading a task. However, solving this problem is difficult because the contractee cannot ascertain the contractor's problem-solving ability such as the amount of available resources and knowledge (e.g. algorithms, heuristics) or monitor what amount of resources are actually invested in solving the allocated task. To solve this problem, we propose a task allocation mechanism that is able to choose an appropriate level of the quality in a task achievement and prove that this mechanism guarantees that each contractor reveals its true information. Moreover, we show that our mechanism can increase the contractee's utility compared with a simple auction mechanism by using computer simulation.

Do Learning Approaches of Medical Students Affect Their Satisfaction with Problem-Based Learning?

ERIC Educational Resources Information Center

Gurpinar, Erol; Kulac, Esin; Tetik, Cihat; Akdogan, Ilgaz; Mamakli, Sumer

2013-01-01

The aim of this research was to determine the satisfaction of medical students with problem-based learning (PBL) and their approaches to learning to investigate the effect of learning approaches on their levels of satisfaction. The study group was composed of medical students from three different universities, which apply PBL at different levels…

Long range science scheduling for the Hubble Space Telescope

NASA Technical Reports Server (NTRS)

Miller, Glenn; Johnston, Mark

1991-01-01

Observations with NASA's Hubble Space Telescope (HST) are scheduled with the assistance of a long-range scheduling system (SPIKE) that was developed using artificial intelligence techniques. In earlier papers, the system architecture and the constraint representation and propagation mechanisms were described. The development of high-level automated scheduling tools, including tools based on constraint satisfaction techniques and neural networks is described. The performance of these tools in scheduling HST observations is discussed.

A Framework for Dynamic Constraint Reasoning Using Procedural Constraints

NASA Technical Reports Server (NTRS)

Jonsson, Ari K.; Frank, Jeremy D.

1999-01-01

Many complex real-world decision and control problems contain an underlying constraint reasoning problem. This is particularly evident in a recently developed approach to planning, where almost all planning decisions are represented by constrained variables. This translates a significant part of the planning problem into a constraint network whose consistency determines the validity of the plan candidate. Since higher-level choices about control actions can add or remove variables and constraints, the underlying constraint network is invariably highly dynamic. Arbitrary domain-dependent constraints may be added to the constraint network and the constraint reasoning mechanism must be able to handle such constraints effectively. Additionally, real problems often require handling constraints over continuous variables. These requirements present a number of significant challenges for a constraint reasoning mechanism. In this paper, we introduce a general framework for handling dynamic constraint networks with real-valued variables, by using procedures to represent and effectively reason about general constraints. The framework is based on a sound theoretical foundation, and can be proven to be sound and complete under well-defined conditions. Furthermore, the framework provides hybrid reasoning capabilities, as alternative solution methods like mathematical programming can be incorporated into the framework, in the form of procedures.

Family caregivers' attributions about care-recipient behaviour: does caregiver relationship satisfaction mediate the attribution-distress relationship?

PubMed

Hui, Siu-Kuen Azor; Elliott, Timothy R; Martin, Roy; Uswatte, Gitendra

2011-09-01

The relations of caregiver attributions about care-recipient's problem behaviour to caregiving relationship satisfaction and caregiver distress were examined. This is a cross sectional study. Seventy-five family caregivers of individuals diagnosed with various disabling health conditions were recruited and interviewed. Caregiver attributions (internality, intentionality, responsibility, and controllability), caregiving relationship satisfaction, and caregiver distress variables were measured. Structural equation techniques tested an a priori model of the latent constructs of caregiver attributions and caregiver relationship satisfaction to caregiver distress. Maladaptive caregiver attributions (i.e., more trait, higher intentionality, higher responsibility, and higher controllability) about care-recipients' problem behaviours predicted lower caregiving relationship satisfaction, which in turn was predictive of higher caregiver distress. Unexpectedly, caregiver attributions were not directly related to caregiver distress. However, attributions had an indirect effect on distress through relationship satisfaction. Younger caregivers experienced higher caregiver distress. Caregivers' explanations about care-recipient's problem behaviour are indicative of their satisfaction in the relationship with the care recipient, and poor caregiving relationship satisfaction is predictive of caregiver distress. Caregiver attributions and relationship quality may be considered in interventions with family caregivers. ©2010 The British Psychological Society.

Marital Satisfaction and Life Circumstances of Grown Children With Autism Across 7 Years

PubMed Central

Hartley, Sigan L.; Barker, Erin T.; Baker, Jason K.; Seltzer, Marsha Mailick; Greenberg, Jan S.

2013-01-01

We examined the extent to which marital satisfaction across 7 years in 199 mothers was associated with the characteristics (gender, age, and intellectual disability status) of their adolescent or adult child with an autism spectrum disorder (ASD) and whether fluctuations in marital satisfaction covaried with the child’s autism symptoms, health, behavior problems, and closeness in the parent–child relationship. We also examined the impact of the departure of the adult child out of the family home on mothers’ marital satisfaction. The effect of family context variables including the presence of an additional child with a disability, maternal education, and household income on marital satisfaction were also examined. We found that closeness in the mother–child relationship and household income had a significant effect on level of marital satisfaction, and that variability in the slope of mothers’ marital satisfaction was significantly predicted by fluctuations in the behavior problems of the adolescent or adult child with an ASD. The grown child’s departure out of the family home was not related to change in marital satisfaction. Interventions aimed at managing the behavior problems of adolescents and adults with ASDs may help strengthen parents’ marital relationship. PMID:22866933

Marital satisfaction and life circumstances of grown children with autism across 7 years.

PubMed

Hartley, Sigan L; Barker, Erin T; Baker, Jason K; Seltzer, Marsha Mailick; Greenberg, Jan S

2012-10-01

We examined the extent to which marital satisfaction across 7 years in 199 mothers was associated with the characteristics (gender, age, and intellectual disability status) of their adolescent or adult child with an autism spectrum disorder (ASD) and whether fluctuations in marital satisfaction covaried with the child's autism symptoms, health, behavior problems, and closeness in the parent-child relationship. We also examined the impact of the departure of the adult child out of the family home on mothers' marital satisfaction. The effect of family context variables including the presence of an additional child with a disability, maternal education, and household income on marital satisfaction were also examined. We found that closeness in the mother-child relationship and household income had a significant effect on level of marital satisfaction, and that variability in the slope of mothers' marital satisfaction was significantly predicted by fluctuations in the behavior problems of the adolescent or adult child with an ASD. The grown child's departure out of the family home was not related to change in marital satisfaction. Interventions aimed at managing the behavior problems of adolescents and adults with ASDs may help strengthen parents' marital relationship. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Hearing Aid Satisfaction: What Does Research from the Past 20 Years Say?

PubMed Central

Wong, Lena L. N.; Hickson, Louise; McPherson, Bradley

2003-01-01

Hearing aid satisfaction is a pleasurable emotional experience as an outcome of an evaluation of performance. Many tools have been designed to measure the degree of satisfaction overall, or along the dimensions of cost, appearance, acoustic benefit, comfort, and service. Various studies have used these tools to examine the relationships between satisfaction and other factors. Findings are not always consistent across studies, but in general, hearing aid satisfaction has been found to be related to experience, expectation, personality and attitude, usage, type of hearing aids, sound quality, listening situations, and problems in hearing aid use. Inconsistent findings across studies and difficulties in evaluating the underlying relationships are probably caused by problems with the tools (eg, lack of validity) and the methods used to evaluate relationships (eg, correlation analyses evaluate association and not causal effect). Whether satisfaction changes over time and how service satisfaction contributes to device satisfaction are unclear. It is hoped that this review will help readers understand current satisfaction measures, how various factors affect satisfaction, and how the way satisfaction is measured may be improved to yield more reliable and valid data. PMID:15004650

Density functional with full exact exchange, balanced nonlocality of correlations, and constraint satisfaction

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tao, Jianmin; Perdew, John P; Staroverov, Viktor N

2008-01-01

We construct a nonlocal density functional approximation with full exact exchange, while preserving the constraint-satisfaction approach and justified error cancellations of simpler semilocal functionals. This is achieved by interpolating between different approximations suitable for two extreme regions of the electron density. In a 'normal' region, the exact exchange-correlation hole density around an electron is semilocal because its spatial range is reduced by correlation and because it integrates over a narrow range to -1. These regions are well described by popular semilocal approximations (many of which have been constructed nonempirically), because of proper accuracy for a slowly-varying density or because ofmore » error cancellation between exchange and correlation. 'Abnormal' regions, where non locality is unveiled, include those in which exchange can dominate correlation (one-electron, nonuniform high-density, and rapidly-varying limits), and those open subsystems of fluctuating electron number over which the exact exchange-correlation hole integrates to a value greater than -1. Regions between these extremes are described by a hybrid functional mixing exact and semi local exchange energy densities locally (i.e., with a mixing fraction that is a function of position r and a functional of the density). Because our mixing fraction tends to 1 in the high-density limit, we employ full exact exchange according to the rigorous definition of the exchange component of any exchange-correlation energy functional. Use of full exact exchange permits the satisfaction of many exact constraints, but the nonlocality of exchange also requires balanced nonlocality of correlation. We find that this nonlocality can demand at least five empirical parameters (corresponding roughly to the four kinds of abnormal regions). Our local hybrid functional is perhaps the first accurate size-consistent density functional with full exact exchange. It satisfies other known exact constraints, including exactness for all one-electron densities, and provides an excellent, fit 1.0 the 223 molecular enthalpies of formation of the G3/99 set and the 42 reaction barrier heights of the BH42/03 set, improving both (but especially the latter) over most semilocal functionals and global hybrids. Exact constraints, physical insights, and paradigm examples hopefully suppress 'overfitting'.« less

Patient Satisfaction With Care for Urgent Health Problems: A Survey of Family Practice Patients

PubMed Central

Howard, Michelle; Goertzen, James; Hutchison, Brian; Kaczorowski, Janusz; Morris, Kelly

2007-01-01

PURPOSE Patient satisfaction is an important health care outcome. This study compared patients’ satisfaction with care received for an urgent health problem from their family physician, at an after-hours clinic in which their physician participated, at a walk-in clinic, at the emergency department, from telephone health advisory services, or from more than 1 of those services. METHODS We mailed a questionnaire to a random sample of patients from 36 family practices in Thunder Bay, Ontario. We elicited satisfaction with care for the most recent urgent health problem in the past 6 months on a 7-point scale (very dissatisfied to very satisfied). RESULTS The response rate was 62.3% (5,884 of 9,397). Of the 5,722 eligible patients 1,342 (23.4%) reported an urgent health problem, and data were available for both services used and satisfaction for 1,227 patients. After adjusting for sociodemographic characteristics and self-reported health status, satisfaction with care received for most recent urgent health problem was significantly higher among patients who visited or spoke to their family physician (mean 6.1; 95% confidence interval [CI], 5.8–6.4) compared with all other services (all P <.004, adjusted for multiple comparisons), with the exception of patients who used the after-hours clinic affiliated with their physician, whose satisfaction was not significantly different (mean 5.6; 95% CI, 5.2–6.0). CONCLUSIONS Satisfaction was highest for patients receiving care from their own family physician or their physician’s after-hours clinic. These results are important for new primary care models that emphasize continuity and after-hours availability of family physicians. PMID:17893383

Feed Forward Neural Network and Optimal Control Problem with Control and State Constraints

NASA Astrophysics Data System (ADS)

Kmet', Tibor; Kmet'ová, Mária

2009-09-01

A feed forward neural network based optimal control synthesis is presented for solving optimal control problems with control and state constraints. The paper extends adaptive critic neural network architecture proposed by [5] to the optimal control problems with control and state constraints. The optimal control problem is transcribed into a nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation method is illustrated by the optimal control problem of nitrogen transformation cycle model. Results show that adaptive critic based systematic approach holds promise for obtaining the optimal control with control and state constraints.

State estimation with incomplete nonlinear constraint

NASA Astrophysics Data System (ADS)

Huang, Yuan; Wang, Xueying; An, Wei

2017-10-01

A problem of state estimation with a new constraints named incomplete nonlinear constraint is considered. The targets are often move in the curve road, if the width of road is neglected, the road can be considered as the constraint, and the position of sensors, e.g., radar, is known in advance, this info can be used to enhance the performance of the tracking filter. The problem of how to incorporate the priori knowledge is considered. In this paper, a second-order sate constraint is considered. A fitting algorithm of ellipse is adopted to incorporate the priori knowledge by estimating the radius of the trajectory. The fitting problem is transformed to the nonlinear estimation problem. The estimated ellipse function is used to approximate the nonlinear constraint. Then, the typical nonlinear constraint methods proposed in recent works can be used to constrain the target state. Monte-Carlo simulation results are presented to illustrate the effectiveness proposed method in state estimation with incomplete constraint.

The clinical profile of employees with mental health problems working in social firms in the UK.

PubMed

Milton, Alyssa; Parsons, Nicholas; Morant, Nicola; Gilbert, Eleanor; Johnson, Sonia; Fisher, Adrian; Singh, Swaran; Cunliffe, Di; Marwaha, Steven

2015-08-01

UK social firms are under-researched but are a potentially important vocational option for people with mental health problems. To describe the clinical profile, satisfaction levels and experiences of social firms employees with mental health problems. Clinical, work and service use characteristics were collected from social firms' employees with mental health problems in England and Wales. Workplace experience and satisfaction were explored qualitatively. Predominantly, social firms' employees (N = 80) report that they have a diagnosis of depression (56%) and anxiety (41%). People with schizophrenia (20%) or bipolar disorder (5%) were a minority. Respondents had low symptom and disability levels, high quality of life and job satisfaction and experienced reductions in secondary mental health service use over time. High-workplace satisfaction was related to flexibility, manager and colleague support and workplace accommodations. The clinical profile, quality of life and job satisfaction level of employees with mental health problems suggest social firms could be a useful addition to UK vocational services for some people. Current employees mainly have common mental disorders, and social firms will need to shift their focus if they are to form a substantial pathway for the vocational recovery of people currently using community mental health teams.

Trading the Economic Value of Unsatisfied Municipal Water Demand

NASA Astrophysics Data System (ADS)

Telfah, Dua'a. B.; Minciardi, Riccardo; Roth, Giorgio

2018-06-01

Modelling and optimization techniques for water resources allocation are proposed to identify the economic value of the unsatisfied municipal water demand against demands emerging from other sectors. While this is always an important step in integrated water resource management perspective, it became crucial for water scarce Countries. In fact, since the competition for the resource is high, they are in crucial need to trade values which will help them in satisfying their policies and needs. In this framework, hydro-economic, social equity and environmental constraints need to be satisfied. In the present study, a hydro-economic decision model based on optimization schemes has been developed for water resources allocation, that enable the evaluation of the economic cost of a deficiency in fulfilling the municipal demand. Moreover, the model enables efficient water resources management, satisfying the demand and proposing additional water resources options. The formulated model is designed to maximize the demand satisfaction and minimize water production cost subject to system priorities, preferences and constraints. The demand priorities are defined based on the effect of demand dissatisfaction, while hydrogeological and physical characteristics of the resources are embedded as constraints in the optimization problem. The application to the City of Amman is presented. Amman is the Capital City of the Hashemite Kingdom of Jordan, a Country located in the south-eastern area of the Mediterranean, on the East Bank of the Jordan River. The main challenge for Jordan, that threat the development and prosperity of all sectors, is the extreme water scarcity. In fact, Jordan is classified as semi-arid to arid region with limited financial resources and unprecedented population growth. While the easy solution directly goes to the simple but expensive approach to cover the demand, case study results show that the proposed model plays a major role in providing directions to decision makers to orient their policies and strategies in order to achieve sustainability of scarce water resources, satisfaction of the minimum required demand as well as financial sustainability. In addition, results map out national needs and priorities that are crucial in understanding and controlling the complexity of Jordan's water sector, mainly for the city of Amman.

Pricing Resources in LTE Networks through Multiobjective Optimization

PubMed Central

Lai, Yung-Liang; Jiang, Jehn-Ruey

2014-01-01

The LTE technology offers versatile mobile services that use different numbers of resources. This enables operators to provide subscribers or users with differential quality of service (QoS) to boost their satisfaction. On one hand, LTE operators need to price the resources high for maximizing their profits. On the other hand, pricing also needs to consider user satisfaction with allocated resources and prices to avoid “user churn,” which means subscribers will unsubscribe services due to dissatisfaction with allocated resources or prices. In this paper, we study the pricing resources with profits and satisfaction optimization (PRPSO) problem in the LTE networks, considering the operator profit and subscribers' satisfaction at the same time. The problem is modelled as nonlinear multiobjective optimization with two optimal objectives: (1) maximizing operator profit and (2) maximizing user satisfaction. We propose to solve the problem based on the framework of the NSGA-II. Simulations are conducted for evaluating the proposed solution. PMID:24526889

Pricing resources in LTE networks through multiobjective optimization.

PubMed

Lai, Yung-Liang; Jiang, Jehn-Ruey

2014-01-01

The LTE technology offers versatile mobile services that use different numbers of resources. This enables operators to provide subscribers or users with differential quality of service (QoS) to boost their satisfaction. On one hand, LTE operators need to price the resources high for maximizing their profits. On the other hand, pricing also needs to consider user satisfaction with allocated resources and prices to avoid "user churn," which means subscribers will unsubscribe services due to dissatisfaction with allocated resources or prices. In this paper, we study the pricing resources with profits and satisfaction optimization (PRPSO) problem in the LTE networks, considering the operator profit and subscribers' satisfaction at the same time. The problem is modelled as nonlinear multiobjective optimization with two optimal objectives: (1) maximizing operator profit and (2) maximizing user satisfaction. We propose to solve the problem based on the framework of the NSGA-II. Simulations are conducted for evaluating the proposed solution.

Sleep Problems and Life Satisfaction as Predictors of Health in Men with Sex Chromosome Aneuploidies.

PubMed

Fjermestad, Krister W; Stokke, Simen

2018-01-01

More knowledge is needed about men with sex chromosome aneuploidies (SCA). We present self-reported data from 53 men with SCA (M age = 36.8 years, SD = 12.3, range 19-67). The Health Survey-Short Form (SF-36) measured eight health domains (physical functioning, role-physical, role-emotional, vitality, emotional health, social functioning, pain, general health). The Pittsburgh Sleep Quality Index measured sleep problems. The Personal Wellbeing Index measured satisfaction with eight life domains. Compared to norms, SCA reported poorer health (mean d = -0.80) and more sleep problems (mean d = -0.85). Differences between SCA and norms on personal well-being were small, except lower health satisfaction in SCA (d = -1.06). Seven of eight regression models predicting the SF-36 domains from life satisfaction and sleep problems were significant (explained variance 12.2% to 46.2%), except physical functioning (ns). Clinical assessment/intervention for a broad range of health and sleep problems is indicated for men with SCA.

Neighboring extremals of dynamic optimization problems with path equality constraints

NASA Technical Reports Server (NTRS)

Lee, A. Y.

1988-01-01

Neighboring extremals of dynamic optimization problems with path equality constraints and with an unknown parameter vector are considered in this paper. With some simplifications, the problem is reduced to solving a linear, time-varying two-point boundary-value problem with integral path equality constraints. A modified backward sweep method is used to solve this problem. Two example problems are solved to illustrate the validity and usefulness of the solution technique.

Knowledge-based design of generate-and-patch problem solvers that solve global resource assignment problems

NASA Technical Reports Server (NTRS)

Voigt, Kerstin

1992-01-01

We present MENDER, a knowledge based system that implements software design techniques that are specialized to automatically compile generate-and-patch problem solvers that satisfy global resource assignments problems. We provide empirical evidence of the superior performance of generate-and-patch over generate-and-test: even with constrained generation, for a global constraint in the domain of '2D-floorplanning'. For a second constraint in '2D-floorplanning' we show that even when it is possible to incorporate the constraint into a constrained generator, a generate-and-patch problem solver may satisfy the constraint more rapidly. We also briefly summarize how an extended version of our system applies to a constraint in the domain of 'multiprocessor scheduling'.

The computational core and fixed point organization in Boolean networks

NASA Astrophysics Data System (ADS)

Correale, L.; Leone, M.; Pagnani, A.; Weigt, M.; Zecchina, R.

2006-03-01

In this paper, we analyse large random Boolean networks in terms of a constraint satisfaction problem. We first develop an algorithmic scheme which allows us to prune simple logical cascades and underdetermined variables, returning thereby the computational core of the network. Second, we apply the cavity method to analyse the number and organization of fixed points. We find in particular a phase transition between an easy and a complex regulatory phase, the latter being characterized by the existence of an exponential number of macroscopically separated fixed point clusters. The different techniques developed are reinterpreted as algorithms for the analysis of single Boolean networks, and they are applied in the analysis of and in silico experiments on the gene regulatory networks of baker's yeast (Saccharomyces cerevisiae) and the segment-polarity genes of the fruitfly Drosophila melanogaster.

A hybrid genetic algorithm for solving bi-objective traveling salesman problems

NASA Astrophysics Data System (ADS)

Ma, Mei; Li, Hecheng

2017-08-01

The traveling salesman problem (TSP) is a typical combinatorial optimization problem, in a traditional TSP only tour distance is taken as a unique objective to be minimized. When more than one optimization objective arises, the problem is known as a multi-objective TSP. In the present paper, a bi-objective traveling salesman problem (BOTSP) is taken into account, where both the distance and the cost are taken as optimization objectives. In order to efficiently solve the problem, a hybrid genetic algorithm is proposed. Firstly, two satisfaction degree indices are provided for each edge by considering the influences of the distance and the cost weight. The first satisfaction degree is used to select edges in a “rough” way, while the second satisfaction degree is executed for a more “refined” choice. Secondly, two satisfaction degrees are also applied to generate new individuals in the iteration process. Finally, based on genetic algorithm framework as well as 2-opt selection strategy, a hybrid genetic algorithm is proposed. The simulation illustrates the efficiency of the proposed algorithm.

Factors associated with work satisfaction of registered nurses.

PubMed

Kovner, Christine; Brewer, Carol; Wu, Yow-Wu; Cheng, Ying; Suzuki, Miho

2006-01-01

To examine the factors that influence the work satisfaction of a national sample of registered nurses in metropolitan statistical areas (MSAs). A cross-sectional mailed survey design was used. The sample consisted of RNs randomly selected from 40 MSAs in 29 states; 1,907 RNs responded (48%). The sample of 1,538 RNs working in nursing was used for analysis. The questionnaire included measures of work attitudes and demographic characteristics. The data were analyzed using ordinary least-squares regression. More than 40% of the variance in satisfaction was explained by the various work attitudes: supervisor support, work-group cohesion, variety of work, autonomy, organizational constraint, promotional opportunities, work and family conflict, and distributive justice. RNs who were White, self-perceived as healthy, and working in nursing education were more satisfied. RNs that were more career oriented were more satisfied. Of the benefits options, only paid time off was related to satisfaction. Work-related factors were significantly related to RNs' work satisfaction.

Results of the Software Process Improvement Efforts of the Early Adopters in NAVAIR 4.0

DTIC Science & Technology

2007-12-01

and customer satisfaction. AIRSpeed utilizes a structured, problem solving methodology called DMAIC (Define, Measure, Analyze, Improve, Control...widely used in business. DMAIC leads project teams through the logical steps from problem definition to problem resolution. Each phase has a specific set...costs and improving productivity and customer satisfaction. AIRSpeed utilizes the DMAIC (Define, Measure, Analyze, Improve, Control) structured problem

L{sup {infinity}} Variational Problems with Running Costs and Constraints

DOE Office of Scientific and Technical Information (OSTI.GOV)

Aronsson, G., E-mail: gunnar.aronsson@liu.se; Barron, E. N., E-mail: enbarron@math.luc.edu

2012-02-15

Various approaches are used to derive the Aronsson-Euler equations for L{sup {infinity}} calculus of variations problems with constraints. The problems considered involve holonomic, nonholonomic, isoperimetric, and isosupremic constraints on the minimizer. In addition, we derive the Aronsson-Euler equation for the basic L{sup {infinity}} problem with a running cost and then consider properties of an absolute minimizer. Many open problems are introduced for further study.

Phonological Constraint Induction in a Connectionist Network: Learning OCP-Place Constraints from Data

ERIC Educational Resources Information Center

Alderete, John; Tupper, Paul; Frisch, Stefan A.

2013-01-01

A significant problem in computational language learning is that of inferring the content of well-formedness constraints from input data. In this article, we approach the constraint induction problem as the gradual adjustment of subsymbolic constraints in a connectionist network. In particular, we develop a multi-layer feed-forward network that…

Navigating contextual constraints in discourse: Design explications in institutional talk

PubMed Central

Herijgers, MLC (Marloes); Maat, HLW (Henk) Pander

2017-01-01

Although institutional discourse is subject to a vast ensemble of constraints, its design is not fixed beforehand. On the contrary, optimizing the satisfaction of these constraints requires considerable discourse design skills from institutional agents. In this article, we analyze how Dutch banks’ mortgage advisors navigate their way through the consultations context. We focus on what we call discourse design explications, that is, stretches of talk in which participants refer to conflicting constraints in the discourse context, at the same time proposing particular discourse designs for dealing with these conflicts. We start by discussing three forms of design explication. Then we will examine the various resolutions they propose for constraint conflicts and show how advisors seek customer consent or cooperation for the proposed designs. Thus our analysis reveals how institutional agents, while providing services, work on demonstrating how the design of these services is optimized and tailored to customers. PMID:28781580

About some types of constraints in problems of routing

NASA Astrophysics Data System (ADS)

Petunin, A. A.; Polishuk, E. G.; Chentsov, A. G.; Chentsov, P. A.; Ukolov, S. S.

2016-12-01

Many routing problems arising in different applications can be interpreted as a discrete optimization problem with additional constraints. The latter include generalized travelling salesman problem (GTSP), to which task of tool routing for CNC thermal cutting machines is sometimes reduced. Technological requirements bound to thermal fields distribution during cutting process are of great importance when developing algorithms for this task solution. These requirements give rise to some specific constraints for GTSP. This paper provides a mathematical formulation for the problem of thermal fields calculating during metal sheet thermal cutting. Corresponding algorithm with its programmatic implementation is considered. The mathematical model allowing taking such constraints into account considering other routing problems is discussed either.

Trimodal interpretation of constraints for planning

NASA Technical Reports Server (NTRS)

Krieger, David; Brown, Richard

1987-01-01

Constraints are used in the CAMPS knowledge based planning system to represent those propositions that must be true for a plan to be acceptable. CAMPS introduces the make-mode for interpreting a constraint. Given an unsatisfied constraint, make evaluation mode suggests planning actions which, if taken, would result in a modified plan in which the constraint in question may be satisfied. These suggested planning actions, termed delta-tuples, are the raw material of intelligent plan repair. They are used both in debugging an almost-right plan and in replanning due to changing situations. Given a defective plan in which some set of constraints are violated, a problem solving strategy selects one or more constraints as a focus of attention. These selected constraints are evaluated in the make-mode to produce delta-tuples. The problem solving strategy then reviews the delta-tuples according to its application and problem-specific criteria to find the most acceptable change in terms of success likelihood and plan disruption. Finally, the problem solving strategy makes the suggested alteration to the plan and then rechecks constraints to find any unexpected consequences.

Predictive and Incremental Validity of Global and Domain-Based Adolescent Life Satisfaction Reports

ERIC Educational Resources Information Center

Haranin, Emily C.; Huebner, E. Scott; Suldo, Shannon M.

2007-01-01

Concurrent, predictive, and incremental validity of global and domain-based adolescent life satisfaction reports are examined with respect to internalizing and externalizing behavior problems. The Students' Life Satisfaction Scale (SLSS), Multidimensional Students' Life Satisfaction Scale (MSLSS), and measures of internalizing and externalizing…

A questionnaire survey of the effect of different interface types on patient satisfaction and perceived problems among trans-tibial amputees.

PubMed

Van de Weg, F B; Van der Windt, D A W M

2005-12-01

The objectives were to investigate the effect of three different interface types on consumer satisfaction and perceived problems among trans-tibial amputees in the Netherlands. A postal questionnaire (based on the Prosthesis Evaluation Questionnaire) was sent to 353 patients. Responders were classified in three groups of interface types: polyethylene foam (PEF) inserts, silicone liners (SIL), and polyurethane liners (PUL). Differences concerning satisfaction and problems between interface types were computed and adjusted for potential confounding by age, gender, reason for amputation and time since first prosthesis. A total of 220 patients responded (62%). Patients wearing liners reported a significantly poorer durability and higher maintenance time compared with patients using PEF inserts. Sum-scores for satisfaction or problems did not show any significant differences between groups. Analysis of individual items showed a significant difference only for satisfaction with sitting and with walking on uneven terrain in favour of PEF inserts. In contrast to most studies, interface type was included as a possible determinant of customer use, satisfaction, and perceived problems. The perceived differences between the three suspension types are to a large extent small and non-significant. The findings do not support liner prescription as a matter of course for all trans-tibial amputees. A careful analysis of patients' preferences should be made to determine the best course of action. Further studies, preferably prospective, need to be conducted to determine which systems are most comfortable and offer least complaints.

Optimal control of singularly perturbed nonlinear systems with state-variable inequality constraints

NASA Technical Reports Server (NTRS)

Calise, A. J.; Corban, J. E.

1990-01-01

The established necessary conditions for optimality in nonlinear control problems that involve state-variable inequality constraints are applied to a class of singularly perturbed systems. The distinguishing feature of this class of two-time-scale systems is a transformation of the state-variable inequality constraint, present in the full order problem, to a constraint involving states and controls in the reduced problem. It is shown that, when a state constraint is active in the reduced problem, the boundary layer problem can be of finite time in the stretched time variable. Thus, the usual requirement for asymptotic stability of the boundary layer system is not applicable, and cannot be used to construct approximate boundary layer solutions. Several alternative solution methods are explored and illustrated with simple examples.

What drives the relationship between combat and alcohol problems in soldiers? The roles of perception and marriage.

PubMed

Vest, Bonnie M; Homish, D Lynn; Hoopsick, Rachel A; Homish, Gregory G

2018-04-01

While the relationship between combat exposure and alcohol problems is well-established, the role of perceptions of trauma is less understood. The goal of this study was to explore associations between National Guard (NG) and reserve soldiers' perceptions of combat experiences as traumatic and alcohol problems, and to examine marital satisfaction as a possible protective factor. The Operation: SAFETY study recruited US Army Reserve and NG soldiers and their partners to complete a questionnaire covering many physical and mental health, military service, and substance use topics. Negative binomial regression models examined the impact of perceived trauma of combat experiences on alcohol problems (N = 198). The potential role of marital satisfaction as a resiliency factor was also examined. The perception of combat experiences as traumatic was associated with increased risk of alcohol problems (risk ratio [RR] = 1.06, 95% confidence interval [CI] 1.01, 1.12; p = 0.024). Combat exposure itself showed no relationship. Marital satisfaction had a significant interaction with perceived combat trauma on alcohol problems (RR = 0.90, 95% CI 0.81, 0.99, p = 0.046), such that soldiers who perceived combat exposure as moderately-highly traumatic were less likely to have alcohol problems when they rated their marital satisfaction highly. Our results demonstrate that the perception of combat experiences as traumatic may be a greater contributor to adverse outcomes, such as alcohol problems, than mere combat exposure. They also demonstrate the importance of marital satisfaction as a resiliency factor, particularly at the highest levels of trauma.

Social problem-solving, perceived stress, negative life events, depression and life satisfaction in psoriasis.

PubMed

Eskin, M; Savk, E; Uslu, M; Küçükaydoğan, N

2014-11-01

Psoriasis is a chronic dermatosis which may cause significant impairment of the patient's quality of life. The purpose of this study was to investigate the social problem-solving skills, perceived stress, negative life events, depression and life satisfaction in psoriasis patients. Data were gathered by means of questionnaires and clinical evaluations from 51 psoriatic patients and 51 matched healthy controls. Average disease duration was 16.47 years and average Psoriasis Area and Severity Index score was 3.67. Compared with the controls, the patients displayed lower social problem-solving skills. They displayed higher negative problem orientation and impulsive-careless problem-solving style scores than the controls. Patients tended also to show more avoidant problem-solving style and lower life satisfaction than controls. There was no difference between psoriatic patients and controls in terms of depression, perceived stress and negative life events. Higher social problem-solving skills were associated with lower depression, perceived stress and fewer numbers of negative life events but higher level of life satisfaction. The patient group largely included mild and moderate psoriatic cases. The findings of the study suggest that problem-solving training or therapy may be a suitable option for alleviating levels of psychological distress in patients suffering from psoriasis. © 2014 European Academy of Dermatology and Venereology.

Constraint Logic Programming approach to protein structure prediction.

PubMed

Dal Palù, Alessandro; Dovier, Agostino; Fogolari, Federico

2004-11-30

The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information and/or simplified protein models. The protein structure prediction problem can be cast in the form of an optimization problem. Notwithstanding its importance, the problem has very seldom been tackled by Constraint Logic Programming, a declarative programming paradigm suitable for solving combinatorial optimization problems. Constraint Logic Programming techniques have been applied to the protein structure prediction problem on the face-centered cube lattice model. Molecular dynamics techniques, endowed with the notion of constraint, have been also exploited. Even using a very simplified model, Constraint Logic Programming on the face-centered cube lattice model allowed us to obtain acceptable results for a few small proteins. As a test implementation their (known) secondary structure and the presence of disulfide bridges are used as constraints. Simplified structures obtained in this way have been converted to all atom models with plausible structure. Results have been compared with a similar approach using a well-established technique as molecular dynamics. The results obtained on small proteins show that Constraint Logic Programming techniques can be employed for studying protein simplified models, which can be converted into realistic all atom models. The advantage of Constraint Logic Programming over other, much more explored, methodologies, resides in the rapid software prototyping, in the easy way of encoding heuristics, and in exploiting all the advances made in this research area, e.g. in constraint propagation and its use for pruning the huge search space.

A numerical approach to controller design for the ACES facility

NASA Technical Reports Server (NTRS)

Frazier, W. Garth; Irwin, R. Dennis

1993-01-01

In recent years the employment of active control techniques for improving the performance of systems involving highly flexible structures has become a topic of considerable research interest. Most of these systems are quite complicated, using multiple actuators and sensors, and possessing high order models. The majority of analytical controller synthesis procedures capable of handling multivariable systems in a systematic way require considerable insight into the underlying mathematical theory to achieve a successful design. This insight is needed in selecting the proper weighting matrices or weighting functions to cast what is naturally a multiple constraint satisfaction problem into an unconstrained optimization problem. Although designers possessing considerable experience with these techniques have a feel for the proper choice of weights, others may spend a significant amount of time attempting to find an acceptable solution. Another disadvantage of such procedures is that the resulting controller has an order greater than or equal to that of the model used for the design. Of course, the order of these controllers can often be reduced, but again this requires a good understanding of the theory involved.

Predictors of Life Satisfaction among Guidance Counselors and Administrators Employed by the Ministry of Education in Turkey

ERIC Educational Resources Information Center

Poyrazli, Senel; Yesilyaprak, Binnur; Milliogullari, Ali

2012-01-01

Problem Statement: A review of the literature indicated that both job satisfaction and life satisfaction are important to an individual's overall wellbeing. While there have been extensive studies related to job satisfaction in a Turkish context, studies related to the predictors of life satisfaction are limited. Purpose of Study: The purpose of…

Client Satisfaction And Decision Making Amongst Females Visiting Family Planning Clinics In Hyderabad, Pakistan.

PubMed

Memon, Arbia; Hamid, Saima; Kumar, Ramesh

2017-01-01

Family Planning is the basic right of the human being. It involves decision regarding the number of children and desired space between children by the couple themselves. Quality services involving multiple dimensions build the confidence of the clients and lack of quality is one of the constraints behind incomplete coverage of family planning. Objectives of the current study were to determine the client satisfaction, decision-making process and various influences on clients in adopting family planning methods. This cross-sectional study was conducted at Family Planning Centre of Liaquat University Hospital, Hyderabad in 2016. Quality of the family planning services and satisfaction with the services were assessed through responses obtained from women selected purposively and visiting family planning centre through exit interviews with structured pretested and reliable questionnaire after taking the written consent. Access to Family Planning Centre was not an issue in 92% cases but only 31% respondents were appropriately greeted, 77% faced blank expression and 13% received sufficient privacy. Health problems and socioeconomic conditions were inquired by 41% and18% providers respectively, while motivating force for service use was mother in law in most 35% cases. Health workers were successful in clarifying misinformation (86%) and explaining side effects (71%) but only 21% respondents were satisfied with services. Respondents are influenced by family and health care providers while making decision and type of influence was considered positive by 83% respondents. Training and monitoring system be strengthened at family planning centres to improve quality of services while important influencing relations be focused for family planning education to improve utilization of services.

Marital and sexual satisfaction in Chinese families: exploring the moderating effects.

PubMed

Guo, Baorong; Huang, Jin

2005-01-01

This study examines the relationship between marital satisfaction and sexual satisfaction in Chinese families. Hierarchical multiple regression using data from the 1993 China Housing Survey indicates that, when controlling for the other variables, sexual satisfaction has considerable impact on marital satisfaction. We also found that the effects of sexual satisfaction on marital satisfaction are moderated by gender and education. The study suggests that marriage counseling, with an emphasis on promoting awareness of sexual quality, would be helpful in addressing marital problems in Chinese families.

Alcohol Use Problems and Sexual Risk among Young Adult African American Mothers

PubMed Central

Swartzendruber, Andrea; Sales, Jessica M.; Rose, Eve S.; DiClemente, Ralph J.

2015-01-01

Studies have documented high levels of alcohol use and sexual risk among young mothers. We examined parenting satisfaction and self-efficacy in relation to alcohol use problems and sexual risk among 346 young African American women enrolled in an HIV prevention trial, 41% (n=141) of whom were mothers. Among mothers, greater parenting satisfaction was associated with a reduced likelihood of problematic alcohol use, having multiple sex partners, and testing positive for Trichomonas vaginalis. Relative to non-parenting women, mothers reported lower condom use. Compared to non-parenting women, mothers with the highest parenting satisfaction reported fewer alcohol use problems; mothers with the lowest parenting satisfaction reported lower condom use and were more likely to have multiple partners and test positive for T. vaginalis. Parenting self-efficacy was not associated with the outcomes examined. Future research investigating relationships between parenting satisfaction, alcohol use and sexual risk may be useful for improving multiple maternal health outcomes. PMID:26499334

The Relationship between Quality of Life with Marital Satisfaction in Nurses in Social Security Hospital in Zahedan

PubMed Central

Gharibi, Maliheh; Sanagouymoharer, Gholamreza; Yaghoubinia, Fariba

2016-01-01

Background: Marital satisfaction is one of the most important determinative factors of healthy function in family and can be affected by some factors. Aim: This study was conducted aimed to determine the relationship between quality of life and marital satisfaction in nurses in Social Security hospital in Zahedan. Method: In this descriptive and correlational study, the population was the all of the nurses in various wards in Social Security hospital in Zahedan. The sample size was 103 and data collection was done through quality of life questionnaire (War and Sherborn) and Enrich Marital Satisfaction Scale. Data analysis was done through SPSS15 and using pearsons’ correlation coefficient and stepwise regression. Results: The aspects of physical functioning, role limitations due to physical health problems, role limitation due to emotional problems had a significant positive correlation and the bodily pain had a significant reverse correlation with aspects of marital satisfaction. The aspects of role limitations due to physical health problems and bodily pain were predictors of marital satisfaction. Conclusion: The results of study demonstrated the importance of pay attention to family issues and marital satisfaction and in this regard, the promotion of all aspects of quality of life is essential. PMID:26383197

On Matrices, Automata, and Double Counting

NASA Astrophysics Data System (ADS)

Beldiceanu, Nicolas; Carlsson, Mats; Flener, Pierre; Pearson, Justin

Matrix models are ubiquitous for constraint problems. Many such problems have a matrix of variables M, with the same constraint defined by a finite-state automaton A on each row of M and a global cardinality constraint gcc on each column of M. We give two methods for deriving, by double counting, necessary conditions on the cardinality variables of the gcc constraints from the automaton A. The first method yields linear necessary conditions and simple arithmetic constraints. The second method introduces the cardinality automaton, which abstracts the overall behaviour of all the row automata and can be encoded by a set of linear constraints. We evaluate the impact of our methods on a large set of nurse rostering problem instances.

Optimal control problems with mixed control-phase variable equality and inequality constraints

NASA Technical Reports Server (NTRS)

Makowski, K.; Neustad, L. W.

1974-01-01

In this paper, necessary conditions are obtained for optimal control problems containing equality constraints defined in terms of functions of the control and phase variables. The control system is assumed to be characterized by an ordinary differential equation, and more conventional constraints, including phase inequality constraints, are also assumed to be present. Because the first-mentioned equality constraint must be satisfied for all t (the independent variable of the differential equation) belonging to an arbitrary (prescribed) measurable set, this problem gives rise to infinite-dimensional equality constraints. To obtain the necessary conditions, which are in the form of a maximum principle, an implicit-function-type theorem in Banach spaces is derived.

Optimal satisfaction degree in energy harvesting cognitive radio networks

NASA Astrophysics Data System (ADS)

Li, Zan; Liu, Bo-Yang; Si, Jiang-Bo; Zhou, Fu-Hui

2015-12-01

A cognitive radio (CR) network with energy harvesting (EH) is considered to improve both spectrum efficiency and energy efficiency. A hidden Markov model (HMM) is used to characterize the imperfect spectrum sensing process. In order to maximize the whole satisfaction degree (WSD) of the cognitive radio network, a tradeoff between the average throughput of the secondary user (SU) and the interference to the primary user (PU) is analyzed. We formulate the satisfaction degree optimization problem as a mixed integer nonlinear programming (MINLP) problem. The satisfaction degree optimization problem is solved by using differential evolution (DE) algorithm. The proposed optimization problem allows the network to adaptively achieve the optimal solution based on its required quality of service (Qos). Numerical results are given to verify our analysis. Project supported by the National Natural Science Foundation of China (Grant No. 61301179), the Doctorial Programs Foundation of the Ministry of Education of China (Grant No. 20110203110011), and the 111 Project (Grant No. B08038).

Social problem-solving, perceived stress, depression and life-satisfaction in patients suffering from tension type and migraine headaches.

PubMed

Eskin, Mehmet; Akyol, Ali; Çelik, Emine Yilmaz; Gültekin, Bülent Kadri

2013-08-01

This study aimed at investigating social problem solving, perceived stress, depression, and life-satisfaction in patients with tension type and migraine headaches. Forty-nine migraine and 42 tension type headache patients (n = 91) consenting to participate were compared to a total of 49 matched healthy control group. Participants filled in a questionnaire consisting self-report measures of problem solving, perceived stress, depression and life satisfaction. They were also asked about headache duration, frequency, pain severity, psychiatric treatment and sense of control in one's life. T-tests, chi-square, analysis of variance, logistic regression analysis and Pearson product moment correlation coefficient procedures were used to analyze the data. Tension type headache patients reported having had more frequent headaches than the migraine patients but migraine patients reported having had more intense pain than the tension type headache patients. Instances of psychiatric treatment were more common among tension type headache patients than the migraine and the control group. Compared to the healthy controls, headache patients displayed a deficiency in problem solving, higher levels of perceived stress and depression. Levels of problem solving skills in headache patients were related inversely to depression, perceived stress and the number of negative life events but problem solving skills of headache patients was related positively to life-satisfaction. The findings from this study suggested that cognitive behavioral problem solving therapy or training might be a viable option for reducing levels of stress and depression, and to increase life-satisfaction in patients suffering from primary headache. © 2013 The Scandinavian Psychological Associations.

Parallel constraint satisfaction in memory-based decisions.

PubMed

Glöckner, Andreas; Hodges, Sara D

2011-01-01

Three studies sought to investigate decision strategies in memory-based decisions and to test the predictions of the parallel constraint satisfaction (PCS) model for decision making (Glöckner & Betsch, 2008). Time pressure was manipulated and the model was compared against simple heuristics (take the best and equal weight) and a weighted additive strategy. From PCS we predicted that fast intuitive decision making is based on compensatory information integration and that decision time increases and confidence decreases with increasing inconsistency in the decision task. In line with these predictions we observed a predominant usage of compensatory strategies under all time-pressure conditions and even with decision times as short as 1.7 s. For a substantial number of participants, choices and decision times were best explained by PCS, but there was also evidence for use of simple heuristics. The time-pressure manipulation did not significantly affect decision strategies. Overall, the results highlight intuitive, automatic processes in decision making and support the idea that human information-processing capabilities are less severely bounded than often assumed.

Voices of impoverished Brazilian women: health implications of roles and resources.

PubMed

Messias, D K; Hall, J M; Meleis, A I

1996-01-01

This qualitative study was based on individual interviews with 75 Brazilian women in an impoverished peri-urban squatter community (favela) in southeastern Brazil. The purposes of the study were to describe women's role involvement in domestic and employment contexts; identify stresses and satisfactions of maternal, spousal, and employment roles; and assess personal and environmental role constraints and resources from the perspective of women's health. The analytic approach to the interview data was qualitative content analysis, through which thematic categories of maternal, spousal, and employment role satisfactions and stresses were identified by the researchers. Women's unrelenting work in the face of harsh social and economic environments was a broad theme woven throughout the women's descriptions of their lives. The confluence of role constraints affecting the participants' lives included poverty, marginalization, abuse, and lack of support and recognition by partners and society. In order to overcome great adversity and meet heavy role demands, these women relied on self, faith in God, family, and health resources. Implications for women's health promotion are discussed.

Well-Being among Older Adults with OA: Direct and Mediated Patterns of Control Beliefs, Optimism and Pessimism

PubMed Central

Sherman, Aurora M.; Cotter, Kelly A.

2013-01-01

Objectives To assess the contribution of important psychological resources (i.e., optimism, pessimism, control beliefs) to the psychological well-being of older adults with Osteoarthritis (OA); to assess the direct and mediated association of these psychosocial resources to outcomes (depressive symptoms, life satisfaction, and self-esteem). These objectives are important because OA is a significant stressor, treatments are limited, and psychological functioning is at risk for those coping with the condition, even compared to other chronic illnesses. Method A cross-sectional survey of 160 community-dwelling older adults with OA (81% women). Participants were not randomly selected, but nonetheless reflected the demographic makeup of the selection area. Results Ordinary least squares regression analyses using the PROCESS macro (Hayes, 2012) revealed that optimism and pessimism were associated with higher depressive symptoms and lower self-esteem indirectly through constraints beliefs. The analysis of life satisfaction showed that optimism and pessimism were each partially mediated through mastery and constraints beliefs. Discussion These results suggest that prior research, which has assessed these psychological resources as having singular relationships to outcomes, may have underestimated the importance of the relationship between these variables. We discuss possible points of intervention for older adults with OA who may experience increasing constraints beliefs over time. PMID:23418813

Family Caregiver Social Problem-Solving Abilities and Adjustment to Caring for a Relative with Vision Loss

PubMed Central

Bambara, Jennifer K.; Owsley, Cynthia; Wadley, Virginia; Martin, Roy; Porter, Chebon; Dreer, Laura E.

2009-01-01

Purpose To examine the prevalence of persons at risk for depression among family caregivers of visually impaired persons and the extent to which social problem-solving abilities are associated with caregiver depressive symptomatology and life satisfaction. Methods Family caregivers were defined as adults who accompanied their adult relative to an appointment at a low-vision rehabilitation clinic and self-identified themselves as the primary family caregiver responsible for providing some form of assistance for their relative due to vision impairment. Demographic variables, depressive symptoms, life satisfaction, caregiver burden, and social problem-solving abilities were assessed in caregivers. The patient’s visual acuity and depressive symptoms and their relationship to the caregiver’s depressive symptoms and life satisfaction were also examined. Results Ninety-six family caregivers were enrolled. Of those, 35.4% were identified as at risk for depression. Among caregivers, dysfunctional or ineffective social problem-solving abilities were significantly associated with greater depressive symptomatology and decreased life satisfaction after adjustment for caregiver burden and demographic and medical variables for both the caregiver and the visually impaired patient. Problem orientation or motivation to solving problems was also significantly associated with caregiver depression and satisfaction with life. Conclusions A substantial number of caregivers of visually impaired adults experience psychosocial distress, particularly among those who possess poor social problem-solving abilities. These results underscore the need for routine screening and treatment of emotional distress among individuals caring for relatives with vision impairments. Future research should examine the extent to which psychosocial interventions targeting caregiver social problem-solving skills may be useful not only in improving caregiver quality of life but also in subsequently enhancing rehabilitation outcomes for the visually impaired care recipient. PMID:19060279

Family caregiver social problem-solving abilities and adjustment to caring for a relative with vision loss.

PubMed

Bambara, Jennifer K; Owsley, Cynthia; Wadley, Virginia; Martin, Roy; Porter, Chebon; Dreer, Laura E

2009-04-01

To examine the prevalence of persons at risk for depression among family caregivers of visually impaired persons and the extent to which social problem-solving abilities are associated with caregiver depressive symptomatology and life satisfaction. Family caregivers were defined as adults who accompanied their adult relative to an appointment at a low-vision rehabilitation clinic and self-identified themselves as the primary family caregiver responsible for providing some form of assistance for their relative due to vision impairment. Demographic variables, depressive symptoms, life satisfaction, caregiver burden, and social problem-solving abilities were assessed in caregivers. The patient's visual acuity and depressive symptoms and their relationship to the caregiver's depressive symptoms and life satisfaction were also examined. Ninety-six family caregivers were enrolled. Of those, 35.4% were identified as at risk for depression. Among caregivers, dysfunctional or ineffective social problem-solving abilities were significantly associated with greater depressive symptomatology and decreased life satisfaction after adjustment for caregiver burden and demographic and medical variables for both the caregiver and the visually impaired patient. Problem orientation or motivation to solving problems was also significantly associated with caregiver depression and satisfaction with life. A substantial number of caregivers of visually impaired adults experience psychosocial distress, particularly among those who possess poor social problem-solving abilities. These results underscore the need for routine screening and treatment of emotional distress among individuals caring for relatives with vision impairments. Future research should examine the extent to which psychosocial interventions targeting caregiver social problem-solving skills may be useful not only in improving caregiver quality of life but also in subsequently enhancing rehabilitation outcomes for the visually impaired care recipient.

Job stress and job satisfaction: home care workers in a consumer-directed model of care.

PubMed

Delp, Linda; Wallace, Steven P; Geiger-Brown, Jeanne; Muntaner, Carles

2010-08-01

To investigate determinants of job satisfaction among home care workers in a consumer-directed model. Analysis of data collected from telephone interviews with 1,614 Los Angeles home care workers on the state payroll in 2003. Multivariate logistic regression analysis was used to determine the odds of job satisfaction using job stress model domains of demands, control, and support. Abuse from consumers, unpaid overtime hours, and caring for more than one consumer as well as work-health demands predict less satisfaction. Some physical and emotional demands of the dyadic care relationship are unexpectedly associated with greater job satisfaction. Social support and control, indicated by job security and union involvement, have a direct positive effect on job satisfaction. Policies that enhance the relational component of care may improve workers' ability to transform the demands of their job into dignified and satisfying labor. Adequate benefits and sufficient authorized hours of care can minimize the stress of unpaid overtime work, caring for multiple consumers, job insecurity, and the financial constraints to seeking health care. Results have implications for the structure of consumer-directed models of care and efforts to retain long-term care workers.

Probabilistic Methods for Uncertainty Propagation Applied to Aircraft Design

NASA Technical Reports Server (NTRS)

Green, Lawrence L.; Lin, Hong-Zong; Khalessi, Mohammad R.

2002-01-01

Three methods of probabilistic uncertainty propagation and quantification (the method of moments, Monte Carlo simulation, and a nongradient simulation search method) are applied to an aircraft analysis and conceptual design program to demonstrate design under uncertainty. The chosen example problems appear to have discontinuous design spaces and thus these examples pose difficulties for many popular methods of uncertainty propagation and quantification. However, specific implementation features of the first and third methods chosen for use in this study enable successful propagation of small uncertainties through the program. Input uncertainties in two configuration design variables are considered. Uncertainties in aircraft weight are computed. The effects of specifying required levels of constraint satisfaction with specified levels of input uncertainty are also demonstrated. The results show, as expected, that the designs under uncertainty are typically heavier and more conservative than those in which no input uncertainties exist.

Is the Process the Problem? Impact of Selection Methods on Reported Job Satisfaction among Academic Department Chairs

ERIC Educational Resources Information Center

Fairchild, Julie E.

2013-01-01

The problem of low job satisfaction (JS) among academic department chairs (ADC) may result from the selection process. ADC searches seldom comply with best practices for hiring or are predictive of a good fit. Formal searches are seldom used. Some incumbents did not want the job. Research into the history, nature, and problems of the position…

From customer satisfaction survey to corrective actions in laboratory services in a university hospital.

PubMed

Oja, Paula I; Kouri, Timo T; Pakarinen, Arto J

2006-12-01

To find out the satisfaction of clinical units with laboratory services in a university hospital, to point out the most important problems and defects in services, to carry out corrective actions, and thereafter to identify the possible changes in satisfaction. and Senior physicians and nurses-in-charge of the clinical units at Oulu University Hospital, Finland. Customer satisfaction survey using a questionnaire was carried out in 2001, indicating the essential aspects of laboratory services. Customer-specific problems were clarified, corrective actions were performed, and the survey was repeated in 2004. In 2001, the highest dissatisfaction rates were recorded for computerized test requesting and reporting, turnaround times of tests, and the schedule of phlebotomy rounds. The old laboratory information system was not amenable to major improvements, and it was renewed in 2004-05. Several clinical units perceived turnaround times to be long, because the tests were ordered as routine despite emergency needs. Instructions about stat requesting were given to these units. However, no changes were evident in the satisfaction level in the 2004 survey. Following negotiations with the clinics, phlebotomy rounds were re-scheduled. This resulted in a distinct increase in satisfaction in 2004. Satisfaction survey is a screening tool that identifies topics of dissatisfaction. Without further clarifications, it is not possible to find out the specific problems of customers and to undertake targeted corrective actions. Customer-specific corrections are rarely seen as improvements in overall satisfaction rates.

An optimization-based approach for facility energy management with uncertainties, and, Power portfolio optimization in deregulated electricity markets with risk management

NASA Astrophysics Data System (ADS)

Xu, Jun

Topic 1. An Optimization-Based Approach for Facility Energy Management with Uncertainties. Effective energy management for facilities is becoming increasingly important in view of the rising energy costs, the government mandate on the reduction of energy consumption, and the human comfort requirements. This part of dissertation presents a daily energy management formulation and the corresponding solution methodology for HVAC systems. The problem is to minimize the energy and demand costs through the control of HVAC units while satisfying human comfort, system dynamics, load limit constraints, and other requirements. The problem is difficult in view of the fact that the system is nonlinear, time-varying, building-dependent, and uncertain; and that the direct control of a large number of HVAC components is difficult. In this work, HVAC setpoints are the control variables developed on top of a Direct Digital Control (DDC) system. A method that combines Lagrangian relaxation, neural networks, stochastic dynamic programming, and heuristics is developed to predict the system dynamics and uncontrollable load, and to optimize the setpoints. Numerical testing and prototype implementation results show that our method can effectively reduce total costs, manage uncertainties, and shed the load, is computationally efficient. Furthermore, it is significantly better than existing methods. Topic 2. Power Portfolio Optimization in Deregulated Electricity Markets with Risk Management. In a deregulated electric power system, multiple markets of different time scales exist with various power supply instruments. A load serving entity (LSE) has multiple choices from these instruments to meet its load obligations. In view of the large amount of power involved, the complex market structure, risks in such volatile markets, stringent constraints to be satisfied, and the long time horizon, a power portfolio optimization problem is of critical importance but difficulty for an LSE to serve the load, maximize its profit, and manage risks. In this topic, a mid-term power portfolio optimization problem with risk management is presented. Key instruments are considered, risk terms based on semi-variances of spot market transactions are introduced, and penalties on load obligation violations are added to the objective function to improve algorithm convergence and constraint satisfaction. To overcome the inseparability of the resulting problem, a surrogate optimization framework is developed enabling a decomposition and coordination approach. Numerical testing results show that our method effectively provides decisions for various instruments to maximize profit, manage risks, and is computationally efficient.

Alternative Constraint Handling Technique for Four-Bar Linkage Path Generation

NASA Astrophysics Data System (ADS)

Sleesongsom, S.; Bureerat, S.

2018-03-01

This paper proposes an extension of a new concept for path generation from our previous work by adding a new constraint handling technique. The propose technique was initially designed for problems without prescribed timing by avoiding the timing constraint, while remain constraints are solving with a new constraint handling technique. The technique is one kind of penalty technique. The comparative study is optimisation of path generation problems are solved using self-adaptive population size teaching-learning based optimization (SAP-TLBO) and original TLBO. In this study, two traditional path generation test problem are used to test the proposed technique. The results show that the new technique can be applied with the path generation problem without prescribed timing and gives better results than the previous technique. Furthermore, SAP-TLBO outperforms the original one.

A comparison of Heuristic method and Llewellyn’s rules for identification of redundant constraints

NASA Astrophysics Data System (ADS)

Estiningsih, Y.; Farikhin; Tjahjana, R. H.

2018-03-01

Important techniques in linear programming is modelling and solving practical optimization. Redundant constraints are consider for their effects on general linear programming problems. Identification and reduce redundant constraints are for avoidance of all the calculations associated when solving an associated linear programming problems. Many researchers have been proposed for identification redundant constraints. This paper a compararison of Heuristic method and Llewellyn’s rules for identification of redundant constraints.

Firefly algorithm for cardinality constrained mean-variance portfolio optimization problem with entropy diversity constraint.

PubMed

Bacanin, Nebojsa; Tuba, Milan

2014-01-01

Portfolio optimization (selection) problem is an important and hard optimization problem that, with the addition of necessary realistic constraints, becomes computationally intractable. Nature-inspired metaheuristics are appropriate for solving such problems; however, literature review shows that there are very few applications of nature-inspired metaheuristics to portfolio optimization problem. This is especially true for swarm intelligence algorithms which represent the newer branch of nature-inspired algorithms. No application of any swarm intelligence metaheuristics to cardinality constrained mean-variance (CCMV) portfolio problem with entropy constraint was found in the literature. This paper introduces modified firefly algorithm (FA) for the CCMV portfolio model with entropy constraint. Firefly algorithm is one of the latest, very successful swarm intelligence algorithm; however, it exhibits some deficiencies when applied to constrained problems. To overcome lack of exploration power during early iterations, we modified the algorithm and tested it on standard portfolio benchmark data sets used in the literature. Our proposed modified firefly algorithm proved to be better than other state-of-the-art algorithms, while introduction of entropy diversity constraint further improved results.

Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Optimization Problem with Entropy Diversity Constraint

PubMed Central

2014-01-01

Portfolio optimization (selection) problem is an important and hard optimization problem that, with the addition of necessary realistic constraints, becomes computationally intractable. Nature-inspired metaheuristics are appropriate for solving such problems; however, literature review shows that there are very few applications of nature-inspired metaheuristics to portfolio optimization problem. This is especially true for swarm intelligence algorithms which represent the newer branch of nature-inspired algorithms. No application of any swarm intelligence metaheuristics to cardinality constrained mean-variance (CCMV) portfolio problem with entropy constraint was found in the literature. This paper introduces modified firefly algorithm (FA) for the CCMV portfolio model with entropy constraint. Firefly algorithm is one of the latest, very successful swarm intelligence algorithm; however, it exhibits some deficiencies when applied to constrained problems. To overcome lack of exploration power during early iterations, we modified the algorithm and tested it on standard portfolio benchmark data sets used in the literature. Our proposed modified firefly algorithm proved to be better than other state-of-the-art algorithms, while introduction of entropy diversity constraint further improved results. PMID:24991645

Genetic programming over context-free languages with linear constraints for the knapsack problem: first results.

PubMed

Bruhn, Peter; Geyer-Schulz, Andreas

2002-01-01

In this paper, we introduce genetic programming over context-free languages with linear constraints for combinatorial optimization, apply this method to several variants of the multidimensional knapsack problem, and discuss its performance relative to Michalewicz's genetic algorithm with penalty functions. With respect to Michalewicz's approach, we demonstrate that genetic programming over context-free languages with linear constraints improves convergence. A final result is that genetic programming over context-free languages with linear constraints is ideally suited to modeling complementarities between items in a knapsack problem: The more complementarities in the problem, the stronger the performance in comparison to its competitors.

Predictors of Job Satisfaction Among Staff Working With the Aged.

ERIC Educational Resources Information Center

Neale, Anne Victoria; And Others

Severe problems in turnover and absenteeism among workers in geriatric and long-term care organizations have sparked great interest in the impact of job satisfaction on the quality of care provided to the elderly. The Job Description Index (JDI) is a job satisfaction index which measures satisfaction with several dimensions of the job: co-workers,…

User satisfaction with realtime teleneurology.

PubMed

Craig, J; Russell, C; Patterson, V; Wootton, R

1999-01-01

User satisfaction (i.e. that of patients, medical staff at a remote hospital and medical staff at a neurological centre) with realtime teleneurology consultations was studied prospectively. Twenty-five patients with neurological problems admitted to a hospital without permanent neurological cover were assessed from a neurological centre by specialist neurologists using realtime video-links transmitting at 384 kbit/s. All users reported high levels of satisfaction with the technical aspects of the consultations. Patients, almost universally, reported confidence in teleneurology as a means of dealing with their presenting complaints. Similarly, medical staff at either site felt confident in managing patients using teleneurology and almost always felt that a telephone consultation would not have achieved as good an outcome. No major organizational problems were identified. These findings suggest overall user satisfaction with realtime teleneurology for managing patients with neurological problems admitted to hospitals that do not have resident neurologists.

[Life satisfaction and related socio-demographic factors during female midlife].

PubMed

Cuadros, José Luis; Pérez-Roncero, Gonzalo R; López-Baena, María Teresa; Cuadros-Celorrio, Angela M; Fernández-Alonso, Ana María

2014-01-01

To assess life satisfaction and related factors in middle-aged Spanish women. This was a cross-sectional study including 235 women aged 40 to 65, living in Granada (Spain), healthy companions of patients visiting the obstetrics and gynecology clinics. They completed the Diener Satisfaction with Life Scale, the Menopause Rating Scale, the Perceived Stress Scale, the Insomnia Severity Index and a sociodemographic questionnaire containing personal and partner data. Internal consistency of each tool was also calculated. Almost two-thirds (61.3%) of the women were postmenopausal, and 43.8% had abdominal obesity, 36.6% had insomnia, 18.7% had poor menopause-related quality of life, 31.9% performed regular exercise, and 5.1% had severe financial problems. Life satisfaction showed significant positive correlations (Spearman's test) with female and male age, and inverse correlations with menopause-related quality of life, perceived stress and insomnia. In the multiple linear regression analysis, high life satisfaction is positively correlated with having a partner who performed exercise, and inversely with having work problems, perceived stress and the suspicion of partner infidelity. These factors explained 40% of the variance of the multiple regression analysis for life satisfaction in middle-aged women. Life satisfaction is a construct related to perceived stress, work problems, and having a partner, while aspects of menopause and general health had no significant influence. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.

New Boundary Constraints for Elliptic Systems used in Grid Generation Problems

NASA Technical Reports Server (NTRS)

Kaul, Upender K.; Clancy, Daniel (Technical Monitor)

2002-01-01

This paper discusses new boundary constraints for elliptic partial differential equations as used in grid generation problems in generalized curvilinear coordinate systems. These constraints, based on the principle of local conservation of thermal energy in the vicinity of the boundaries, are derived using the Green's Theorem. They uniquely determine the so called decay parameters in the source terms of these elliptic systems. These constraints' are designed for boundary clustered grids where large gradients in physical quantities need to be resolved adequately. It is observed that the present formulation also works satisfactorily for mild clustering. Therefore, a closure for the decay parameter specification for elliptic grid generation problems has been provided resulting in a fully automated elliptic grid generation technique. Thus, there is no need for a parametric study of these decay parameters since the new constraints fix them uniquely. It is also shown that for Neumann type boundary conditions, these boundary constraints uniquely determine the solution to the internal elliptic problem thus eliminating the non-uniqueness of the solution of an internal Neumann boundary value grid generation problem.

Does job satisfaction improve the health of workers? New evidence using panel data and objective measures of health.

PubMed

Fischer, Justina A V; Sousa-Poza, Alfonso

2009-01-01

This paper evaluates the relationship between job satisfaction and measures of health of workers using the German Socio-Economic Panel. Methodologically, it addresses two important design problems encountered frequently in the literature: (a) cross-sectional causality problems and (b) the absence of objective measures of physical health that complement self-reported measures of health status. Not only does using the panel structure with individual fixed effects mitigate the bias from omitting unobservable personal psycho-social characteristics, but employing more objective health measures such as health-system contacts and disability addresses such measurement problems relating to self-report assessments of health status.We find a positive link between job satisfaction (and changes over time therein) and subjective health measures (and changes therein); that is, employees with higher or improved job satisfaction levels feel healthier and are more satisfied with their health. This observation also holds true for more objective measures of health. Particularly, improvements in job satisfaction over time appear to prevent workers from (further) health deterioration. Copyright (c) 2008 John Wiley & Sons, Ltd.

Alcohol-related problems and life satisfaction predict motivation to change among mandated college students.

PubMed

Diulio, Andrea R; Cero, Ian; Witte, Tracy K; Correia, Christopher J

2014-04-01

The present study investigated the role specific types of alcohol-related problems and life satisfaction play in predicting motivation to change alcohol use. Participants were 548 college students mandated to complete a brief intervention following an alcohol-related policy violation. Using hierarchical multiple regression, we tested for the presence of interaction and quadratic effects on baseline data collected prior to the intervention. A significant interaction indicated that the relationship between a respondent's personal consequences and his/her motivation to change differs depending upon the level of concurrent social consequences. Additionally quadratic effects for abuse/dependence symptoms and life satisfaction were found. The quadratic probes suggest that abuse/dependence symptoms and poor life satisfaction are both positively associated with motivation to change for a majority of the sample; however, the nature of these relationships changes for participants with more extreme scores. Results support the utility of using a multidimensional measure of alcohol related problems and assessing non-linear relationships when assessing predictors of motivation to change. The results also suggest that the best strategies for increasing motivation may vary depending on the types of alcohol-related problems and level of life satisfaction the student is experiencing and highlight potential directions for future research. Copyright © 2014. Published by Elsevier Ltd.

Two Point Exponential Approximation Method for structural optimization of problems with frequency constraints

NASA Technical Reports Server (NTRS)

Fadel, G. M.

1991-01-01

The point exponential approximation method was introduced by Fadel et al. (Fadel, 1990), and tested on structural optimization problems with stress and displacement constraints. The reports in earlier papers were promising, and the method, which consists of correcting Taylor series approximations using previous design history, is tested in this paper on optimization problems with frequency constraints. The aim of the research is to verify the robustness and speed of convergence of the two point exponential approximation method when highly non-linear constraints are used.

A dual method for optimal control problems with initial and final boundary constraints.

NASA Technical Reports Server (NTRS)

Pironneau, O.; Polak, E.

1973-01-01

This paper presents two new algorithms belonging to the family of dual methods of centers. The first can be used for solving fixed time optimal control problems with inequality constraints on the initial and terminal states. The second one can be used for solving fixed time optimal control problems with inequality constraints on the initial and terminal states and with affine instantaneous inequality constraints on the control. Convergence is established for both algorithms. Qualitative reasoning indicates that the rate of convergence is linear.

Symbolic Execution Enhanced System Testing

NASA Technical Reports Server (NTRS)

Davies, Misty D.; Pasareanu, Corina S.; Raman, Vishwanath

2012-01-01

We describe a testing technique that uses information computed by symbolic execution of a program unit to guide the generation of inputs to the system containing the unit, in such a way that the unit's, and hence the system's, coverage is increased. The symbolic execution computes unit constraints at run-time, along program paths obtained by system simulations. We use machine learning techniques treatment learning and function fitting to approximate the system input constraints that will lead to the satisfaction of the unit constraints. Execution of system input predictions either uncovers new code regions in the unit under analysis or provides information that can be used to improve the approximation. We have implemented the technique and we have demonstrated its effectiveness on several examples, including one from the aerospace domain.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Baker, Kyri; Toomey, Bridget

Evolving power systems with increasing levels of stochasticity call for a need to solve optimal power flow problems with large quantities of random variables. Weather forecasts, electricity prices, and shifting load patterns introduce higher levels of uncertainty and can yield optimization problems that are difficult to solve in an efficient manner. Solution methods for single chance constraints in optimal power flow problems have been considered in the literature, ensuring single constraints are satisfied with a prescribed probability; however, joint chance constraints, ensuring multiple constraints are simultaneously satisfied, have predominantly been solved via scenario-based approaches or by utilizing Boole's inequality asmore » an upper bound. In this paper, joint chance constraints are used to solve an AC optimal power flow problem while preventing overvoltages in distribution grids under high penetrations of photovoltaic systems. A tighter version of Boole's inequality is derived and used to provide a new upper bound on the joint chance constraint, and simulation results are shown demonstrating the benefit of the proposed upper bound. The new framework allows for a less conservative and more computationally efficient solution to considering joint chance constraints, specifically regarding preventing overvoltages.« less

Relationship between Teachers' Job Satisfaction and Students' Academic Performance

ERIC Educational Resources Information Center

Iqbal, Asif; Aziz, Fakhra; Farooqi, Tahir Khan; Ali, Shabbir

2016-01-01

Problem Statement: An extensive literature on Job satisfaction has shown, teachers who are satisfied with their jobs perform better. Along with various indicators of teachers' job satisfaction, variables such as organizational justice (Nojani, Arjmandnia, Afrooz, & Rajabi, 2012), organizational culture (Hosseinkhanzadeh, Hosseinkhanzadeh,…

COMPLEXITY&APPROXIMABILITY OF QUANTIFIED&STOCHASTIC CONSTRAINT SATISFACTION PROBLEMS

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hunt, H. B.; Marathe, M. V.; Stearns, R. E.

2001-01-01

Let D be an arbitrary (not necessarily finite) nonempty set, let C be a finite set of constant symbols denoting arbitrary elements of D, and let S and T be an arbitrary finite set of finite-arity relations on D. We denote the problem of determining the satisfiability of finite conjunctions of relations in S applied to variables (to variables and symbols in C) by SAT(S) (by SATc(S).) Here, we study simultaneously the complexity of decision, counting, maximization and approximate maximization problems, for unquantified, quantified and stochastically quantified formulas. We present simple yet general techniques to characterize simultaneously, the complexity ormore » efficient approximability of a number of versions/variants of the problems SAT(S), Q-SAT(S), S-SAT(S),MAX-Q-SAT(S) etc., for many different such D,C ,S, T. These versions/variants include decision, counting, maximization and approximate maximization problems, for unquantified, quantified and stochastically quantified formulas. Our unified approach is based on the following two basic concepts: (i) strongly-local replacements/reductions and (ii) relational/algebraic represent ability. Some of the results extend the earlier results in [Pa85,LMP99,CF+93,CF+94O]u r techniques and results reported here also provide significant steps towards obtaining dichotomy theorems, for a number of the problems above, including the problems MAX-&-SAT( S), and MAX-S-SAT(S). The discovery of such dichotomy theorems, for unquantified formulas, has received significant recent attention in the literature [CF+93,CF+94,Cr95,KSW97]« less

The roles of constraint-based and dedication-based influences on user's continued online shopping behavior.

PubMed

Chang, Su-Chao; Chou, Chi-Min

2012-11-01

The objective of this study was to determine empirically the role of constraint-based and dedication-based influences as drivers of the intention to continue using online shopping websites. Constraint-based influences consist of two variables: trust and perceived switching costs. Dedication-based influences consist of three variables: satisfaction, perceived usefulness, and trust. The current results indicate that both constraint-based and dedication-based influences are important drivers of the intention to continue using online shopping websites. The data also shows that trust has the strongest total effect on online shoppers' intention to continue using online shopping websites. In addition, the results indicate that the antecedents of constraint-based influences, technical bonds (e.g., perceived operational competence and perceived website interactivity) and social bonds (e.g., perceived relationship investment, community building, and intimacy) have indirect positive effects on the intention to continue using online shopping websites. Based on these findings, this research suggests that online shopping websites should build constraint-based and dedication-based influences to enhance user's continued online shopping behaviors simultaneously.

Adult attachment and drinking context as predictors of alcohol problems and relationship satisfaction in college students.

PubMed

Hocking, Elise C; Simons, Raluca M; Simons, Jeffrey S; Freeman, Harry

2018-01-01

Evidence suggests that for young adults, intimate partners influence each other's drinking patterns. Therefore, exploration of variables related to intimate partner relationships (such as attachment style) could broaden the current understanding of risk factors for alcohol problems in this demographic. The current study examined the role of drinking context in the relationships among insecure attachment, alcohol problems, and relationship satisfaction. A path model was hypothesized where the relationship between insecure attachment and alcohol problems would be explained via two distinct drinking contexts (i.e., drinking with one's partner and drinking away from one's partner). It was also hypothesized that the relationship between insecure attachment and relationship satisfaction would be explained via these same two drinking contexts. Participants were 194 undergraduate students ages 18-25 who reported being in a monogamous intimate partner relationship for at least 90 days and had also consumed alcohol in the past 90 days. The sample was comprised of 76% women and 24% men. The hypothesized direct relationship from anxious attachment to alcohol problems was significant; there were also significant direct paths from both anxious and avoidant attachment to relationship satisfaction. The hypotheses regarding indirect relationships were not supported. The results of this study contribute to the existing literature, in that they suggest that drinking in the context of an intimate relationship may not directly affect relationship satisfaction in this population. However, relationship functioning still appears to be an important variable to consider in the prevention and treatment of alcohol-related problems affecting college students.

Effective hybrid teaching-learning-based optimization algorithm for balancing two-sided assembly lines with multiple constraints

NASA Astrophysics Data System (ADS)

Tang, Qiuhua; Li, Zixiang; Zhang, Liping; Floudas, C. A.; Cao, Xiaojun

2015-09-01

Due to the NP-hardness of the two-sided assembly line balancing (TALB) problem, multiple constraints existing in real applications are less studied, especially when one task is involved with several constraints. In this paper, an effective hybrid algorithm is proposed to address the TALB problem with multiple constraints (TALB-MC). Considering the discrete attribute of TALB-MC and the continuous attribute of the standard teaching-learning-based optimization (TLBO) algorithm, the random-keys method is hired in task permutation representation, for the purpose of bridging the gap between them. Subsequently, a special mechanism for handling multiple constraints is developed. In the mechanism, the directions constraint of each task is ensured by the direction check and adjustment. The zoning constraints and the synchronism constraints are satisfied by teasing out the hidden correlations among constraints. The positional constraint is allowed to be violated to some extent in decoding and punished in cost function. Finally, with the TLBO seeking for the global optimum, the variable neighborhood search (VNS) is further hybridized to extend the local search space. The experimental results show that the proposed hybrid algorithm outperforms the late acceptance hill-climbing algorithm (LAHC) for TALB-MC in most cases, especially for large-size problems with multiple constraints, and demonstrates well balance between the exploration and the exploitation. This research proposes an effective and efficient algorithm for solving TALB-MC problem by hybridizing the TLBO and VNS.

The role of religiosity, coping strategies, self-efficacy and personality dimensions in the prediction of Iranian undergraduate rehabilitation interns' satisfaction with their clinical experience.

PubMed

Mirsaleh, Y R; Rezai, H; Kivi, S R; Ghorbani, R

2010-12-01

to investigate the relationship between religiosity, coping styles, self-efficacy and personality dimensions as predictors of satisfaction with clinical experience in rehabilitation interns during transition from academic study to clinical internship. a cross-sectional survey design. five rehabilitation faculties. three hundred and eighteen undergraduate rehabilitation interns, including physical therapy, occupational therapy and speech and language pathology students. Islamic Religiosity Scale, Ways of Coping Questionnaire, General Self-efficacy Scale, NEO Five Factor Inventory, and Satisfaction with Clinical Experiences Questionnaire. religiosity, problem-focused coping and general self-efficacy had significant positive correlation with satisfaction with clinical internship in rehabilitation students. Among personality dimensions, openness, agreement and consciousness had significant positive correlation with satisfaction with clinical experience and neuroticism had significant negative correlation with satisfaction with clinical experience. The results of regression analysis demonstrated that religiosity and self-efficacy had important roles in the prediction of satisfaction with clinical experience in all the rehabilitation intern students of three disciplines (physical therapy, occupational therapy, and speech and language pathology). religiosity, problem-focused coping and general self-efficacy seem to be good predictors of satisfaction with clinical internship in rehabilitation students.

Application of constraint-based satellite mission planning model in forest fire monitoring

NASA Astrophysics Data System (ADS)

Guo, Bingjun; Wang, Hongfei; Wu, Peng

2017-10-01

In this paper, a constraint-based satellite mission planning model is established based on the thought of constraint satisfaction. It includes target, request, observation, satellite, payload and other elements, with constraints linked up. The optimization goal of the model is to make full use of time and resources, and improve the efficiency of target observation. Greedy algorithm is used in the model solving to make observation plan and data transmission plan. Two simulation experiments are designed and carried out, which are routine monitoring of global forest fire and emergency monitoring of forest fires in Australia. The simulation results proved that the model and algorithm perform well. And the model is of good emergency response capability. Efficient and reasonable plan can be worked out to meet users' needs under complex cases of multiple payloads, multiple targets and variable priorities with this model.

A Multidisciplinary Initiative to Increase Inpatient Discharges Before Noon.

PubMed

Kane, Marlena; Weinacker, Ann; Arthofer, Rudolph; Seay-Morrison, Timothy; Elfman, Wesley; Ramirez, Mark; Ahuja, Neera; Pickham, David; Hereford, James; Welton, Mark

2016-12-01

The aim of this study is to evaluate the effect of 2 hospital-wide interventions on achieving a discharge-before-noon rate of 40%. A multidisciplinary team led by administrative and physician leadership developed a plan to diminish capacity constraints by minimizing late afternoon hospital discharges using 2 patient flow management techniques. The study was a preintervention/postintervention retrospective analysis observing all inpatients discharged across 19 inpatient units in a 484-bed, academic teaching hospital measuring calendar month discharge-before-noon percentage, patient satisfaction, and readmission rates. Patient satisfaction and readmission rates were used as baseline metrics. The discharge-before-noon percentage increased from 14% in the 11-month preintervention period to an average of 24% over the 11-month postintervention period, whereas patient satisfaction scores and readmission rates remained stable. Implementation of the 2 interventions successfully increased the percentage of discharges before noon yet did not achieve the goal of 40%. Patient satisfaction and readmission rates were not negatively impacted by the program.

Something to talk about: Topics of conversation between romantic partners during military deployments.

PubMed

Carter, Sarah P; Osborne, Laura J; Renshaw, Keith D; Allen, Elizabeth S; Loew, Benjamin A; Markman, Howard J; Stanley, Scott M

2018-02-01

Long-distance communication has been frequently identified as essential to military couples trying to maintain their relationship during a deployment. Little quantitative research, however, has assessed the types of topics discussed during such communication and how those topics relate to overall relationship satisfaction. The current study draws on a sample of 56 Army couples who provided data through online surveys while the service member was actively deployed. These couples provided information on current marital satisfaction, topics discussed during deployment (problem talk, friendship talk, love talk), and how they communicated via synchronous media (e.g., phone calls, video calls) and letters during deployment. Nonparametric Friedman tests followed by paired t tests revealed that synchronous communication was primarily utilized for friendship talk, whereas letters included friendship talk and love talk in similar amounts. Both synchronous communication and letters included less problem talk than other topics. In mixed-level modeling, only topics of communication for synchronous media (not for letters) were related to relationship satisfaction. Love talk via synchronous media was related to higher relationship satisfaction, whereas problem talk via synchronous media was related to less relationship satisfaction. The current study offers the first quantitative assessment of topics within deployment communication media and associations with relationship satisfaction. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Patient satisfaction among Spanish-speaking patients in a public health setting.

PubMed

Welty, Elisabeth; Yeager, Valerie A; Ouimet, Claude; Menachemi, Nir

2012-01-01

Despite the growing literature on health care quality, few patient satisfaction studies have focused upon the public health setting; where many Hispanic patients receive care. The purpose of this study was to examine the differences in satisfaction between English and Spanish-speaking patients in a local health department clinical setting. We conducted a paper-based satisfaction survey of patients that visited any of the seven Jefferson County Department of Health primary care centers from March 19 to April 19, 2008. Using Chi-squared analyses we found 25% of the Spanish-speaking patients reported regularly having problems getting an appointment compared to 16.8% among English-speakers (p < .001). Results of logistic regression analyses indicated that, despite the availability of interpreters at all JCDH primary care centers, differences in satisfaction existed between Spanish and English speaking patients controlling for center location, purpose of visit, and time spent waiting. Specifically, Spanish speaking patients were more likely to report problems getting an appointment and less likely to report having their medical problems resolved when leaving their visit as compared to those who spoke English. Findings presented herein may provide insight regarding the quality of care received, specifically regarding patient satisfaction in the public health setting. © 2011 National Association for Healthcare Quality.

Married Women, Employment Status, and Stress: A Critical Review and Agenda for the Future.

ERIC Educational Resources Information Center

Schneider, Barbara Ann Deborah Conway

Research has compared employed and non-employed women in the areas of depression, reported psychological problems, alienation, role conflict, marital problems, life satisfaction, job satisfaction, and anxiety. A review of this research generally revealed no differences between employed and non-employed women. Those studies which reported…

Satisfaction, Challenges, and Interaction in Online Education: A Generational Comparison

ERIC Educational Resources Information Center

Yousef, Martin C.

2012-01-01

Problem: Research suggests that multiple generations of students (predominantly Generation X and millennials) are concurrently enrolled in online classes and that the number of online students continues to grow. The problem investigated in this study was to identify the level of satisfaction as well as the preferences of students from Generation X…

The Relationship between Satisfaction with Life, ADHD Symptoms, and Associated Problems among University Students

ERIC Educational Resources Information Center

Gudjonsson, Gisli H.; Sigurdsson, Jon Fridrik; Eyjolfsdottir, Gudrun Agusta; Smari, Jakob; Young, Susan

2009-01-01

Objective: To ascertain whether ADHD symptoms, and associated problems, are negatively related to subjective well-being. Method: The Satisfaction With Life Scale (SWLS) was completed by 369 university students, along with the Reasoning & Rehabilitation (R&R) ADHD Training Evaluation (RATE), the "Diagnostic and Statistical Manual of…

Job Satisfaction, Job Reward Characteristics, and Employees' Problem Drinking Behaviors.

ERIC Educational Resources Information Center

Martin, Jack K.; Roman, Paul M.

1996-01-01

Data from the National Employee Survey revealed a complex interplay of job stress, rewards, and job satisfaction influencing employees' problem drinking behavior. Satisfied workers were significantly less likely to abuse alcohol. Support was found for the spillover model indicating that work has important effects on behavior in nonwork settings.…

Level of Satisfaction of Older Persons with Their General Practitioner and Practice: Role of Complexity of Health Problems

PubMed Central

Poot, Antonius J.; den Elzen, Wendy P. J.; Blom, Jeanet W.; Gussekloo, Jacobijn

2014-01-01

Background Satisfaction is widely used to evaluate and direct delivery of medical care; a complicated relationship exists between patient satisfaction, morbidity and age. This study investigates the relationships between complexity of health problems and level of patient satisfaction of older persons with their general practitioner (GP) and practice. Methods and Findings This study is embedded in the ISCOPE (Integrated Systematic Care for Older Persons) study. Enlisted patients aged ≥75 years from 59 practices received a written questionnaire to screen for complex health problems (somatic, functional, psychological and social). For 2664 randomly chosen respondents (median age 82 years; 68% female) information was collected on level of satisfaction (satisfied, neutral, dissatisfied) with their GP and general practice, and demographic and clinical characteristics including complexity of health problems. Of all participants, 4% was dissatisfied with their GP care, 59% neutral and 37% satisfied. Between these three categories no differences were observed in age, gender, country of birth or education level. The percentage of participants dissatisfied with their GP care increased from 0.4% in those with 0 problem domains to 8% in those with 4 domains, i.e. having complex health problems (p<0.001). Per additional health domain with problems, the risk of being dissatisfied increased 1.7 times (95% CI 1.4–2.14; p<0.001). This was independent of age, gender, and demographic and clinical parameters (adjusted OR 1.4, 95% CI 1.1–1.8; p = 0.021). Conclusion In older persons, dissatisfaction with general practice is strongly correlated with rising complexity of health problems, independent of age, demographic and clinical parameters. It remains unclear whether complexity of health problems is a patient characteristic influencing the perception of care, or whether the care is unable to handle the demands of these patients. Prospective studies are needed to investigate the causal associations between care organization, patient characteristics, indicators of quality, and patient perceptions. PMID:24710557

Level of satisfaction of older persons with their general practitioner and practice: role of complexity of health problems.

PubMed

Poot, Antonius J; den Elzen, Wendy P J; Blom, Jeanet W; Gussekloo, Jacobijn

2014-01-01

Satisfaction is widely used to evaluate and direct delivery of medical care; a complicated relationship exists between patient satisfaction, morbidity and age. This study investigates the relationships between complexity of health problems and level of patient satisfaction of older persons with their general practitioner (GP) and practice. This study is embedded in the ISCOPE (Integrated Systematic Care for Older Persons) study. Enlisted patients aged ≥75 years from 59 practices received a written questionnaire to screen for complex health problems (somatic, functional, psychological and social). For 2664 randomly chosen respondents (median age 82 years; 68% female) information was collected on level of satisfaction (satisfied, neutral, dissatisfied) with their GP and general practice, and demographic and clinical characteristics including complexity of health problems. Of all participants, 4% was dissatisfied with their GP care, 59% neutral and 37% satisfied. Between these three categories no differences were observed in age, gender, country of birth or education level. The percentage of participants dissatisfied with their GP care increased from 0.4% in those with 0 problem domains to 8% in those with 4 domains, i.e. having complex health problems (p<0.001). Per additional health domain with problems, the risk of being dissatisfied increased 1.7 times (95% CI 1.4-2.14; p<0.001). This was independent of age, gender, and demographic and clinical parameters (adjusted OR 1.4, 95% CI 1.1-1.8; p = 0.021). In older persons, dissatisfaction with general practice is strongly correlated with rising complexity of health problems, independent of age, demographic and clinical parameters. It remains unclear whether complexity of health problems is a patient characteristic influencing the perception of care, or whether the care is unable to handle the demands of these patients. Prospective studies are needed to investigate the causal associations between care organization, patient characteristics, indicators of quality, and patient perceptions.

Retrospective Analysis of an Ongoing Group-Based Modified Constraint-Induced Movement Therapy Program for Children with Acquired Brain Injury.

PubMed

Komar, Alyssa; Ashley, Kelsey; Hanna, Kelly; Lavallee, Julia; Woodhouse, Janet; Bernstein, Janet; Andres, Matthew; Reed, Nick

2016-01-01

A pretest-posttest retrospective design was used to evaluate the impact of a group-based modified constraint-induced movement therapy (mCIMT) program on upper extremity function and occupational performance. 20 children ages 3 to 18 years with hemiplegia following an acquired brain injury participated in a 2-week group mCIMT program. Upper extremity function was measured with the Assisting Hand Assessment (AHA) and subtests from the Quality of Upper Extremity Skills Test (QUEST). Occupational performance and satisfaction were assessed using the Canadian Occupational Performance Measure (COPM). Data were analyzed using a Wilcoxon signed-ranks test. Group-based analysis revealed upper extremity function and occupational performance attained statistically significant improvements from pre- to postintervention on all outcome measures (AHA: Z = -3.63, p = <.001; QUEST Grasps: Z = -3.10, p = .002; QUEST Dissociated Movement: Z = -2.51, p = .012; COPM Performance: Z = -3.64, p = <.001; COPM Satisfaction: Z = -3.64, p = <.001). Across individuals, clinically significant improvements were found in 65% of participants' AHA scores. 80% of COPM Performance scores and 70% of COPM Satisfaction scores demonstrated clinically significant improvements in at least one identified goal. This study is an initial step in evaluating and providing preliminary evidence supporting the effectiveness of a group-based mCIMT program for children with hemiplegia following an acquired brain injury.

The Effect of Entrepreneurial Orientation on Teacher Satisfaction and Retention

ERIC Educational Resources Information Center

Thibault, Melissa Rihm

2016-01-01

Teacher turnover is a costly problem. Since teacher working conditions influence teacher's satisfaction and career intentions, managers may theoretically increase teacher satisfaction and retention by fostering a school environment supportive of the highly-trained professional. Entrepreneurial Orientation is an organizational construct correlated…

Spiritual Growth or Decline and Meaning-Making as Mediators of Anxiety and Satisfaction with Life During Religious Struggle.

PubMed

Zarzycka, Beata; Zietek, Pawel

2018-03-14

A number of studies have demonstrated links between spiritual struggles and health problems. As yet, however, only a few studies have investigated what makes religious struggle a source of mental problems or a source of well-being. We determined whether spiritual growth, spiritual decline, and meaning-making mediated the relationship between religious struggle and anxiety and satisfaction with life. Of the 180 respondents, 92 were women, and mean (SD) age was 24 (8.2) years. Each respondent completed the Religious and Spiritual Struggles Scale, the Meaning-Making Scale, the Spiritual Transformation Scale, the State-Trait Anxiety Inventory, and the Satisfaction with Life Scale. Religious struggle correlated positively with anxiety and negatively with satisfaction with life. Spiritual growth mediated the relationship between moral and demonic struggle with satisfaction with life, and spiritual decline mediated the relationship between demonic, moral, and interpersonal struggle with anxiety. Finally, meaning-making mediated the relationship between religious doubt and satisfaction with life.

[Satisfaction with life of children with attention deficit hyperactivity disorder: a study of possible protection and risk factors].

PubMed

Miranda-Casas, Ana; Presentacion-Herrero, M Jesús; Colomer-Diago, Carla; Roselló, Belén

2011-03-01

Positive psychology has boosted interest about the study of factors of adjustment, among which is included satisfaction with life. To analyze the relationship between satisfaction with life of children with attention deficit hyperactivity disorder (ADHD) and their parents with behavioral risk and protective variables, and to determine the predictive power of these variables. 56 parents and their children with ADHD filled out questionnaires of satisfaction with life, self-concept, sense of coherence, success attributes and behavioral rating scales. Behavioral problems have a significant negative relationship with satisfaction with life perceived by parents and by children while the relationships with the self-concept and success attributes have a positive value. The most predictive factors were social problems, oppositional behavior, self-concept, self-awareness and social support. The identification of factors that put at risk or enhance satisfaction with life of people with ADHD will improve the functionality of evaluation and intervention processes.

Efficient constraint handling in electromagnetism-like algorithm for traveling salesman problem with time windows.

PubMed

Yurtkuran, Alkın; Emel, Erdal

2014-01-01

The traveling salesman problem with time windows (TSPTW) is a variant of the traveling salesman problem in which each customer should be visited within a given time window. In this paper, we propose an electromagnetism-like algorithm (EMA) that uses a new constraint handling technique to minimize the travel cost in TSPTW problems. The EMA utilizes the attraction-repulsion mechanism between charged particles in a multidimensional space for global optimization. This paper investigates the problem-specific constraint handling capability of the EMA framework using a new variable bounding strategy, in which real-coded particle's boundary constraints associated with the corresponding time windows of customers, is introduced and combined with the penalty approach to eliminate infeasibilities regarding time window violations. The performance of the proposed algorithm and the effectiveness of the constraint handling technique have been studied extensively, comparing it to that of state-of-the-art metaheuristics using several sets of benchmark problems reported in the literature. The results of the numerical experiments show that the EMA generates feasible and near-optimal results within shorter computational times compared to the test algorithms.

Efficient Constraint Handling in Electromagnetism-Like Algorithm for Traveling Salesman Problem with Time Windows

PubMed Central

Yurtkuran, Alkın

2014-01-01

The traveling salesman problem with time windows (TSPTW) is a variant of the traveling salesman problem in which each customer should be visited within a given time window. In this paper, we propose an electromagnetism-like algorithm (EMA) that uses a new constraint handling technique to minimize the travel cost in TSPTW problems. The EMA utilizes the attraction-repulsion mechanism between charged particles in a multidimensional space for global optimization. This paper investigates the problem-specific constraint handling capability of the EMA framework using a new variable bounding strategy, in which real-coded particle's boundary constraints associated with the corresponding time windows of customers, is introduced and combined with the penalty approach to eliminate infeasibilities regarding time window violations. The performance of the proposed algorithm and the effectiveness of the constraint handling technique have been studied extensively, comparing it to that of state-of-the-art metaheuristics using several sets of benchmark problems reported in the literature. The results of the numerical experiments show that the EMA generates feasible and near-optimal results within shorter computational times compared to the test algorithms. PMID:24723834

High performance techniques for space mission scheduling

NASA Technical Reports Server (NTRS)

Smith, Stephen F.

1994-01-01

In this paper, we summarize current research at Carnegie Mellon University aimed at development of high performance techniques and tools for space mission scheduling. Similar to prior research in opportunistic scheduling, our approach assumes the use of dynamic analysis of problem constraints as a basis for heuristic focusing of problem solving search. This methodology, however, is grounded in representational assumptions more akin to those adopted in recent temporal planning research, and in a problem solving framework which similarly emphasizes constraint posting in an explicitly maintained solution constraint network. These more general representational assumptions are necessitated by the predominance of state-dependent constraints in space mission planning domains, and the consequent need to integrate resource allocation and plan synthesis processes. First, we review the space mission problems we have considered to date and indicate the results obtained in these application domains. Next, we summarize recent work in constraint posting scheduling procedures, which offer the promise of better future solutions to this class of problems.

Effects of workload on teachers' functioning: A moderated mediation model including sleeping problems and overcommitment.

PubMed

Huyghebaert, Tiphaine; Gillet, Nicolas; Beltou, Nicolas; Tellier, Fanny; Fouquereau, Evelyne

2018-06-14

This study investigated the mediating role of sleeping problems in the relationship between workload and outcomes (emotional exhaustion, presenteeism, job satisfaction, and performance), and overcommitment was examined as a moderator in the relationship between workload and sleeping problems. We conducted an empirical study using a sample of 884 teachers. Consistent with our predictions, results revealed that the positive indirect effects of workload on emotional exhaustion and presenteeism, and the negative indirect effects of workload on job satisfaction and performance, through sleeping problems, were only significant among overcommitted teachers. Workload and overcommitment were also directly related to all four outcomes, precisely, they both positively related to emotional exhaustion and presenteeism and negatively related to job satisfaction and performance. Theoretical contributions and perspectives and implications for practice are discussed. Copyright © 2018 John Wiley & Sons, Ltd.

Comments on "Duality of Female Employment in Pakistan".

PubMed

Duncan, A

1991-01-01

Data problems and substantive issues relating to an article on female employment problems in Pakistan are critiqued. It is noted that the emphasis was on demand factors in explaining the level and pattern of female employment, when it is evident that supply and demand are linked by cultural norms which vary among women in their degree of segregation/domestic responsibilities. Productivity and income of women by occupation is also important for policy analysis. The supply factors that affect women according to their income group are level of education, degree of segregation/domestic responsibility, and income/satisfaction level. Employers' biases are clear demand side factors. In the example of the upper income class group, women work due to higher levels of education and experience, their greater liberation from domestic duties, and the professional satisfaction derived from work; constraints are appropriate education and training, employers' gender discrimination, and higher satisfaction from domestic roles. Women's segregation as a supply factor is stronger in middle and low income groups; hence, employment is lower. Income generation is very important among low income groups, which creates a greater force to seek employment, but without the necessary skills or education and with household responsibilities; their employment is predominately in the informal sector with low productivity and income. Policy interventions to increase welfare and productivity must be different for each class or group. For upper income women, employers must not discriminate against women in hiring and firing, and more educational and training opportunities must be provided. In the middle income group, access to education an employment and more employment opportunities in a culturally acceptable framework are needed. Respectability of jobs, for instance in the service sector, is an important factor. In the low income group, productivity increases are the goal. Access to credits, and new inputs and technology, are examples of productive inputs and services which are tied to productivity. Inputs and training must be directed to women's needs, e.g., microenterprises, group guarantees as collateral for credit, and combined outreach services. The strategy is to provide appropriate training, incentives, and working conditions for female service providers.

Eulerian Formulation of Spatially Constrained Elastic Rods

NASA Astrophysics Data System (ADS)

Huynen, Alexandre

Slender elastic rods are ubiquitous in nature and technology. For a vast majority of applications, the rod deflection is restricted by an external constraint and a significant part of the elastic body is in contact with a stiff constraining surface. The research work presented in this doctoral dissertation formulates a computational model for the solution of elastic rods constrained inside or around frictionless tube-like surfaces. The segmentation strategy adopted to cope with this complex class of problems consists in sequencing the global problem into, comparatively simpler, elementary problems either in continuous contact with the constraint or contact-free between their extremities. Within the conventional Lagrangian formulation of elastic rods, this approach is however associated with two major drawbacks. First, the boundary conditions specifying the locations of the rod centerline at both extremities of each elementary problem lead to the establishment of isoperimetric constraints, i.e., integral constraints on the unknown length of the rod. Second, the assessment of the unilateral contact condition requires, in principle, the comparison of two curves parametrized by distinct curvilinear coordinates, viz. the rod centerline and the constraint axis. Both conspire to burden the computations associated with the method. To streamline the solution along the elementary problems and rationalize the assessment of the unilateral contact condition, the rod governing equations are reformulated within the Eulerian framework of the constraint. The methodical exploration of both types of elementary problems leads to specific formulations of the rod governing equations that stress the profound connection between the mechanics of the rod and the geometry of the constraint surface. The proposed Eulerian reformulation, which restates the rod local equilibrium in terms of the curvilinear coordinate associated with the constraint axis, describes the rod deformed configuration by means of either its relative position with respect to the constraint axis (contact-free segments) or its angular position on the constraint surface (continuous contacts.) This formulation circumvents both drawbacks that afflict the conventional Lagrangian approach associated with the segmentation strategy. As the a priori unknown domain, viz. the rod length, is substituted for the known constraint axis, the free boundary problem and the associated isoperimetric constraints are converted into a classical two-point boundary value problem. Additionally, the description of the rod deflection by means of its eccentricity with respect to the constraint axis trivializes the assessment of the unilateral contact condition. Along continuous contacts, this formulation expresses the strain variables, measuring the rod change of shape, in terms of the geometric invariants of the constraint surface, and emphasizes the influence of the constraint local geometry on the reaction pressure. Formalizing the segmentation strategy, a computational model that exploits the Eulerian formulation of the rod governing equations is devised. To solve the quasi-static deflection of elastic rods constrained inside or around a tube-like surface, this computational model identifies the number of contacts, their nature (either discrete or continuous), and the rod configuration at the connections that satisfies the unilateral contact condition and preserves the rod integrity along the sequence of elementary problems.

LMI-Based Fuzzy Optimal Variance Control of Airfoil Model Subject to Input Constraints

NASA Technical Reports Server (NTRS)

Swei, Sean S.M.; Ayoubi, Mohammad A.

2017-01-01

This paper presents a study of fuzzy optimal variance control problem for dynamical systems subject to actuator amplitude and rate constraints. Using Takagi-Sugeno fuzzy modeling and dynamic Parallel Distributed Compensation technique, the stability and the constraints can be cast as a multi-objective optimization problem in the form of Linear Matrix Inequalities. By utilizing the formulations and solutions for the input and output variance constraint problems, we develop a fuzzy full-state feedback controller. The stability and performance of the proposed controller is demonstrated through its application to the airfoil flutter suppression.

The Effect of Bedside Presentations in the Emergency Department on Patient Satisfaction

PubMed Central

Schranz, Craig I.; Sobehart, Robert J.; Fallgatter, Kiva; Riffenburgh, Robert H.; Matteucci, Michael J.

2011-01-01

Background Due to increasing time constraints, the use of bedside presentations in resident education has declined. We examined whether patient satisfaction in the emergency department is affected when first-year residents present at the bedside with attendings. Methods We performed an observational, prospective, nonblinded study in the emergency department of a military teaching hospital. We alternately assigned first-year residents to present a convenience sample of 248 patients to the attending physician at the patient's bedside or away from the patient. We measured patient satisfaction by using the Patient Satisfaction Questionaire-18 (PSQ-18), a validated survey instrument that utilizes a Likert scale, and additional nonvalidated survey questions involving Likert and visual analog scales. Results While the median PSQ-18 score of 74 (95% confidence interval [CI], 72–76) was higher for patient satisfaction when residents made bedside presentations than that for standard presentations, 72 (95% CI, 70–74), the difference did not reach statistical significance (P  =  .33). Conclusion There was no significant difference in overall patient satisfaction between residents' bedside presentations and presentations to attendings away from the patient. Although not significant, the differences noted in PSQ-18 subscales of communication, general satisfaction, and interpersonal manner warrant further investigation. Patients did not appear to be uncomfortable with having their care discussed and with having subsequent resident education at the bedside. Future research on patient satisfaction after implementation of standardized bedside teaching techniques 5 help further elucidate this relationship. PMID:23205195

Perceived health problems in swimmers according to the chemical treatment of water in swimming pools.

PubMed

Fernández-Luna, Álvaro; Burillo, Pablo; Felipe, José Luis; del Corral, Julio; García-Unanue, Jorge; Gallardo, Leonor

2016-01-01

The objective of this study was to determine which chemical treatment used for disinfecting water in indoor swimming pools had the least impact on users' perceptions of health problems, and which generated the greatest satisfaction with the quality of the water. A survey on satisfaction and perceived health problems was given to 1001 users at 20 indoor swimming pools which used different water treatment methods [chlorine, bromine, ozone, ultraviolet lamps (UV) and salt electrolysis]. The findings suggest that there is a greater probability of perceived health problems, such as eye and skin irritation, respiratory problems and skin dryness, in swimming pools treated with chlorine than in swimming pools using other chemical treatment methods. Pools treated with bromine have similar, although slightly better, results. Other factors, such as age, gender, time of day of use (morning and afternoon) and type of user (competitive and recreational), can also affect the probability of suffering health problems. For all of the above, using combined treatment methods as ozone and UV, or salt electrolysis produces a lower probability of perceived health problems and greater satisfaction.

Satisfaction in multigenerational households.

PubMed

Mindel, C H; Wright, R

1982-07-01

Family life satisfaction can be seen and analyzed within a cost/reward exchange framework. Within this context satisfaction of the primary caregiver with living in a multigenerational household was examined for 99 Midwestern families. Important predictors of satisfaction were identified using path analysis. These predictors consisted of characteristics of the older person (in particular, indicators of dependency status, characteristics of the primary caregiver, and the situational problems of daily life).

Job Stress and Job Satisfaction: Home Care Workers in a Consumer-Directed Model of Care

PubMed Central

Delp, Linda; Wallace, Steven P; Geiger-Brown, Jeanne; Muntaner, Carles

2010-01-01

Objective To investigate determinants of job satisfaction among home care workers in a consumer-directed model. Data Sources/Setting Analysis of data collected from telephone interviews with 1,614 Los Angeles home care workers on the state payroll in 2003. Data Collection and Analysis Multivariate logistic regression analysis was used to determine the odds of job satisfaction using job stress model domains of demands, control, and support. Principal Findings Abuse from consumers, unpaid overtime hours, and caring for more than one consumer as well as work-health demands predict less satisfaction. Some physical and emotional demands of the dyadic care relationship are unexpectedly associated with greater job satisfaction. Social support and control, indicated by job security and union involvement, have a direct positive effect on job satisfaction. Conclusions Policies that enhance the relational component of care may improve workers' ability to transform the demands of their job into dignified and satisfying labor. Adequate benefits and sufficient authorized hours of care can minimize the stress of unpaid overtime work, caring for multiple consumers, job insecurity, and the financial constraints to seeking health care. Results have implications for the structure of consumer-directed models of care and efforts to retain long-term care workers. PMID:20403063

Positive Youth Development, Life Satisfaction, and Problem Behaviors of Adolescents in Intact and Non-Intact Families in Hong Kong

PubMed Central

Shek, Daniel T. L.; Leung, Hildie

2013-01-01

This study investigated whether Chinese adolescents living in intact and non-intact families differed in their positive development, life satisfaction, and risk behavior. A total of 3,328 Secondary 1 students responded to measures of positive youth development (such as resilience and psychosocial competencies), life satisfaction, and risk behavior (substance abuse, delinquency, Internet addiction, consumption of pornographic materials, self-harm, and behavioral intention to engage in problem behavior). Findings revealed that adolescents growing up in intact families reported higher levels of positive developmental outcomes and life satisfaction as compared with adolescents from non-intact families. Adolescents in non-intact families also reported higher levels of risk behaviors than those growing up in intact families. PMID:24400264

Positive youth development, life satisfaction, and problem behaviors of adolescents in intact and non-intact families in Hong Kong.

PubMed

Shek, Daniel T L; Leung, Hildie

2013-01-01

This study investigated whether Chinese adolescents living in intact and non-intact families differed in their positive development, life satisfaction, and risk behavior. A total of 3,328 Secondary 1 students responded to measures of positive youth development (such as resilience and psychosocial competencies), life satisfaction, and risk behavior (substance abuse, delinquency, Internet addiction, consumption of pornographic materials, self-harm, and behavioral intention to engage in problem behavior). Findings revealed that adolescents growing up in intact families reported higher levels of positive developmental outcomes and life satisfaction as compared with adolescents from non-intact families. Adolescents in non-intact families also reported higher levels of risk behaviors than those growing up in intact families.

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

NASA Astrophysics Data System (ADS)

Baniamerian, Ali; Bashiri, Mahdi; Zabihi, Fahime

2018-03-01

Cross-docking is a new warehousing policy in logistics which is widely used all over the world and attracts many researchers attention to study about in last decade. In the literature, economic aspects has been often studied, while one of the most significant factors for being successful in the competitive global market is improving quality of customer servicing and focusing on customer satisfaction. In this paper, we introduce a vehicle routing and scheduling problem with cross-docking and time windows in a three-echelon supply chain that considers customer satisfaction. A set of homogeneous vehicles collect products from suppliers and after consolidation process in the cross-dock, immediately deliver them to customers. A mixed integer linear programming model is presented for this problem to minimize transportation cost and early/tardy deliveries with scheduling of inbound and outbound vehicles to increase customer satisfaction. A two phase genetic algorithm (GA) is developed for the problem. For investigating the performance of the algorithm, it was compared with exact and lower bound solutions in small and large-size instances, respectively. Results show that there are at least 86.6% customer satisfaction by the proposed method, whereas customer satisfaction in the classical model is at most 33.3%. Numerical examples results show that the proposed two phase algorithm could achieve optimal solutions in small-size instances. Also in large-size instances, the proposed two phase algorithm could achieve better solutions with less gap from the lower bound in less computational time in comparison with the classic GA.

Minimization of the root of a quadratic functional under a system of affine equality constraints with application to portfolio management

NASA Astrophysics Data System (ADS)

Landsman, Zinoviy

2008-10-01

We present an explicit closed form solution of the problem of minimizing the root of a quadratic functional subject to a system of affine constraints. The result generalizes Z. Landsman, Minimization of the root of a quadratic functional under an affine equality constraint, J. Comput. Appl. Math. 2007, to appear, see , articles in press, where the optimization problem was solved under only one linear constraint. This is of interest for solving significant problems pertaining to financial economics as well as some classes of feasibility and optimization problems which frequently occur in tomography and other fields. The results are illustrated in the problem of optimal portfolio selection and the particular case when the expected return of finance portfolio is certain is discussed.

Locating an imaging radar in Canada for identifying spaceborne objects

NASA Astrophysics Data System (ADS)

Schick, William G.

1992-12-01

This research presents a study of the maximal coverage p-median facility location problem as applied to the location of an imaging radar in Canada for imaging spaceborne objects. The classical mathematical formulation of the maximal coverage p-median problem is converted into network-flow with side constraint formulations that are developed using a scaled down version of the imaging radar location problem. Two types of network-flow with side constraint formulations are developed: a network using side constraints that simulates the gains in a generalized network; and a network resembling a multi-commodity flow problem that uses side constraints to force flow along identical arcs. These small formulations are expanded to encompass a case study using 12 candidate radar sites, and 48 satellites divided into three states. SAS/OR PROC NETFLOW was used to solve the network-flow with side constraint formulations. The case study show that potential for both formulations, although the simulated gains formulation encountered singular matrix computational difficulties as a result of the very organized nature of its side constraint matrix. The multi-commodity flow formulation, when combined with equi-distribution of flow constraints, provided solutions for various values of p, the number of facilities to be selected.

Infertility and Life Satisfaction among Women

ERIC Educational Resources Information Center

McQuillan, Julia; Stone, Rosalie A. Torres; Greil, Arthur L.

2007-01-01

Using data from a random sample of 580 midwestern women, the authors explore the association between lifetime infertility and life satisfaction. Past research shows lower life satisfaction among those seeking help for infertility. The authors find no direct effects of lifetime infertility, regardless of perception of a problem, on life…

Replica analysis for the duality of the portfolio optimization problem

NASA Astrophysics Data System (ADS)

Shinzato, Takashi

2016-11-01

In the present paper, the primal-dual problem consisting of the investment risk minimization problem and the expected return maximization problem in the mean-variance model is discussed using replica analysis. As a natural extension of the investment risk minimization problem under only a budget constraint that we analyzed in a previous study, we herein consider a primal-dual problem in which the investment risk minimization problem with budget and expected return constraints is regarded as the primal problem, and the expected return maximization problem with budget and investment risk constraints is regarded as the dual problem. With respect to these optimal problems, we analyze a quenched disordered system involving both of these optimization problems using the approach developed in statistical mechanical informatics and confirm that both optimal portfolios can possess the primal-dual structure. Finally, the results of numerical simulations are shown to validate the effectiveness of the proposed method.

Replica analysis for the duality of the portfolio optimization problem.

PubMed

Shinzato, Takashi

2016-11-01

In the present paper, the primal-dual problem consisting of the investment risk minimization problem and the expected return maximization problem in the mean-variance model is discussed using replica analysis. As a natural extension of the investment risk minimization problem under only a budget constraint that we analyzed in a previous study, we herein consider a primal-dual problem in which the investment risk minimization problem with budget and expected return constraints is regarded as the primal problem, and the expected return maximization problem with budget and investment risk constraints is regarded as the dual problem. With respect to these optimal problems, we analyze a quenched disordered system involving both of these optimization problems using the approach developed in statistical mechanical informatics and confirm that both optimal portfolios can possess the primal-dual structure. Finally, the results of numerical simulations are shown to validate the effectiveness of the proposed method.

Duality in non-linear programming

NASA Astrophysics Data System (ADS)

Jeyalakshmi, K.

2018-04-01

In this paper we consider duality and converse duality for a programming problem involving convex objective and constraint functions with finite dimensional range. We do not assume any constraint qualification. The dual is presented by reducing the problem to a standard Lagrange multiplier problem.

[How are Effects of Patient Education Programs Influenced by Psychosocial Risk Factors in Pediatrics?

PubMed

Menrath, Ingo; Ernst, Gundula; Mönkemöller, Kirsten; Lehmann, Christine; Eberding, Angela; Müller-Godeffroy, Esther; Szczepanski, Rüdiger; Lange, Karin; Staab, Doris; Thyen, Ute

2018-03-01

Modular patient education programs are effective in children with chronic conditions and their families. Little is known about the influence of socioeconomic status (SES), migration background (MB) and children's mental-health problems on the programs' effects. Do SES, MB or mental-health problems influence the success of education programs (disease-specific knowledge, children's health-related quality of life (HRQoL) and life satisfaction and parents' condition-specific burden)? Children with different chronic conditions and their parents participated in modular patient education programs. Before and 6 weeks after the participation SES, MB, children's mental-health problems, parents' und children's disease-specific knowledge, children's HRQoL and life satisfaction and parents' condition-specific burden were assessed by standardized questionnaires. The influence on the programs' effects of SoS, MH and mental-health problems were examined with variance and correlation analyses. 398 children (mean age 10.2 yrs) and their parents participated. Irrespective of SoS, MH and mental-health problems the programs were associated with improved disease-specific knowledge, children's HRQoL and life satisfaction and parents' disease-specific burden. At follow-up SoS, MH and mental-health problems were associated with reduced knowledge, reduced children's' HRQoL and life satisfaction and increased parents' disease-specific burden. Disadvantaged families and children with mental-health problems benefit from education programs, but have an increased need of education due to special challenges. © Georg Thieme Verlag KG Stuttgart · New York.

Demand and Financial Constraints in Eliminating Architectural and Technical Barriers for People with Disabilities in Poland

PubMed Central

Przybyła, Katarzyna

2018-01-01

The purpose of the study is to analyse the availability of financial resources for people with disabilities and to assess the needs satisfaction level of the disabled in order to eliminate architectural and technical barriers in Poland. The research conducted among the disabled affected by physical disability indicates that mobility barriers and obstacles remain among the most important problems encountered by people with disabilities. The research has shown that the problem of barriers increases with age. The elimination of architectural barriers requires, each time, higher financial expenditure, whereas the elimination of technical barriers improves the life quality of people with disabilities at low financial outlays. The average funding in Poland amounted to PLN 827.53 in 2016, including the funding of EUR 1453.60 for the elimination of architectural barriers and approx. EUR 582 for the removal of technical barriers. The financial resources allocated for this purpose do not cover the actual needs of the people with disabilities. The analysis revealed that the demand for investment in the elimination of barriers is increasing with age, whereas the expenditure of the Polish state is decreasing. PMID:29670742

A Delay-Aware and Reliable Data Aggregation for Cyber-Physical Sensing

PubMed Central

Zhang, Jinhuan; Long, Jun; Zhang, Chengyuan; Zhao, Guihu

2017-01-01

Physical information sensed by various sensors in a cyber-physical system should be collected for further operation. In many applications, data aggregation should take reliability and delay into consideration. To address these problems, a novel Tiered Structure Routing-based Delay-Aware and Reliable Data Aggregation scheme named TSR-DARDA for spherical physical objects is proposed. By dividing the spherical network constructed by dispersed sensor nodes into circular tiers with specifically designed widths and cells, TSTR-DARDA tries to enable as many nodes as possible to transmit data simultaneously. In order to ensure transmission reliability, lost packets are retransmitted. Moreover, to minimize the latency while maintaining reliability for data collection, in-network aggregation and broadcast techniques are adopted to deal with the transmission between data collecting nodes in the outer layer and their parent data collecting nodes in the inner layer. Thus, the optimization problem is transformed to minimize the delay under reliability constraints by controlling the system parameters. To demonstrate the effectiveness of the proposed scheme, we have conducted extensive theoretical analysis and comparisons to evaluate the performance of TSR-DARDA. The analysis and simulations show that TSR-DARDA leads to lower delay with reliability satisfaction. PMID:28218668

Method and Apparatus for Powered Descent Guidance

NASA Technical Reports Server (NTRS)

Acikmese, Behcet (Inventor); Blackmore, James C. L. (Inventor); Scharf, Daniel P. (Inventor)

2013-01-01

A method and apparatus for landing a spacecraft having thrusters with non-convex constraints is described. The method first computes a solution to a minimum error landing problem for a convexified constraints, then applies that solution to a minimum fuel landing problem for convexified constraints. The result is a solution that is a minimum error and minimum fuel solution that is also a feasible solution to the analogous system with non-convex thruster constraints.

The Relationship of Servant Leadership on Teacher Satisfaction and Teacher Retention

ERIC Educational Resources Information Center

Engelhart, Elizabeth F.

2012-01-01

High performing schools with exceptional leaders are needed today in America. School leaders are expected to come to the job equipped with the ability to address curriculum issues, face dire budget constraints, and turn around school culture and climate. Financially, schools are suffering from the cost of teacher turnover. Students are suffering…

Investigation of marital satisfaction and its relationship with job stress and general health of nurses in Qazvin, Iran.

PubMed

Azimian, Jalil; Piran, Pegah; Jahanihashemi, Hassan; Dehghankar, Leila

2017-04-01

Pressures in nursing can affect family life and marital problems, disrupt common social problems, increase work-family conflicts and endanger people's general health. To determine marital satisfaction and its relationship with job stress and general health of nurses. This descriptive and cross-sectional study was done in 2015 in medical educational centers of Qazvin by using an ENRICH marital satisfaction scale and General Health and Job Stress questionnaires completed by 123 nurses. Analysis was done by SPSS version 19 using descriptive and analytical statistics (Pearson correlation, t-test, ANOVA, Chi-square, regression line, multiple regression analysis). The findings showed that 64.4% of nurses had marital satisfaction. There was significant relationship between age (p=0.03), job experience (p=0.01), age of spouse (p=0.01) and marital satisfaction. The results showed that there was a significant relationship between marital satisfaction and general health (p<0.0001). Multiple regression analysis showed that there was a significant relationship between depression (p=0.012) and anxiety (p=0.001) with marital satisfaction. Due to high levels of job stress and disorder in general health of nurses and low marital satisfaction by running health promotion programs and paying attention to its dimensions can help work and family health of nurses.

The Relationship Between Job Satisfaction and Psychological/Physical Health among Malaysian Working Women.

PubMed

Aazami, Sanaz; Shamsuddin, Khadijah; Akmal, Syaqirah; Azami, Golnaz

2015-01-01

The workplace environment has a great influence on employees' health. Job dissatisfaction has been widely recognised as a workplace stressor that can influence employees' psychological and physical health statuses. However, job satisfaction is a multi-dimensional concept, and it is necessary to investigate its different facets and their unique consequences. Therefore, the aim of this study was to assess the relationship between the nine facets of job satisfaction and psychological health and somatic complaints (i.e., sleep disorders, headache, gastro-intestinal and respiratory problems). This cross-sectional study was conducted among 567 Malaysian women working in the public sector. Data collection was conducted using a series of self-administered questionnaires. The results of this study show that there is a link between job satisfaction and psychological distress as well as four somatic complaints. Satisfaction with the nature of work was the strongest predictor for psychological distress, sleep disorders, headaches and gastro-intestinal problems. From the results of this study, we conclude that there is a link between job satisfaction and the health status of employees. In addition, job satisfaction levels vary across different dimensions and can even differ from an individual's feelings of global job satisfaction. Policies and practices should focus on improving working conditions to enhance the fit of the job and the employee.

Constraint Programming to Solve Maximal Density Still Life

NASA Astrophysics Data System (ADS)

Chu, Geoffrey; Petrie, Karen Elizabeth; Yorke-Smith, Neil

The Maximum Density Still Life problem fills a finite Game of Life board with a stable pattern of cells that has as many live cells as possible. Although simple to state, this problem is computationally challenging for any but the smallest sizes of board. Especially difficult is to prove that the maximum number of live cells has been found. Various approaches have been employed. The most successful are approaches based on Constraint Programming (CP). We describe the Maximum Density Still Life problem, introduce the concept of constraint programming, give an overview on how the problem can be modelled and solved with CP, and report on best-known results for the problem.

Predictors of employer satisfaction: technical and non-technical skills.

PubMed

Danielson, Jared A; Wu, Tsui-Feng; Fales-Williams, Amanda J; Kirk, Ryan A; Preast, Vanessa A

2012-01-01

Employers of 2007-2009 graduates from Iowa State University College of Veterinary Medicine were asked to respond to a survey regarding their overall satisfaction with their new employees as well as their new employees' preparation in several technical and non-technical skill areas. Seventy-five responses contained complete data and were used in the analysis. Four technical skill areas (data collection, data interpretation, planning, and taking action) and five non-technical skill areas (interpersonal skills, ability to deal with legal issues, business skills, making referrals, and problem solving) were identified. All of the skill area subscales listed above had appropriate reliability (Cronbach's alpha>0.70) and were positively and significantly correlated with overall employer satisfaction. Results of two simultaneous regression analyses indicated that of the four technical skill areas, taking action is the most salient predictor of employer satisfaction. Of the five non-technical skill areas, interpersonal skills, business skills, making referrals, and problem solving were the most important skills in predicting employer satisfaction. Hierarchical regression analysis revealed that all technical skills explained 25% of the variation in employer satisfaction; non-technical skills explained an additional 42% of the variation in employer satisfaction.

Mother's marital satisfaction associated with the quality of mother-father-child triadic interaction.

PubMed

Korja, Riikka; Piha, Jorma; Otava, Riia; Lavanchy-Scaiola, Chloe; Ahlqvist-Björkroth, Sari; Aromaa, Minna; Räihä, Hannele

2016-08-01

Low marital satisfaction has been shown to be a risk factor for early parenthood and parent-child relationship problems (Erel & Burman, ; McHale, ). The aim of this study was to assess how parental reports of marital satisfaction related to family alliance and coordination in the observed triadic interaction. The study group included 120 families. Marital satisfaction was evaluated during pregnancy, at 4 months, and at 18 months using the Revised Dyadic Adjustment Scale (RDAS; Busby, Christensen, Crane & Larsson, ) for both parents. Mother-father-child interaction was analyzed in the Lausanne Triadic Play setting and coded using the Family Alliance Assessment Scale (Favez, Lavanchy Scaiola, Tissot, Darwiche & Frascarolo, ) when the child reached 18 months of age. The mother's higher marital satisfaction at every measuring point was associated with a cooperative family alliance and/or higher family coordination at 18 months. The father's experience of marital satisfaction was not related to family interaction at any assessment point. Our study suggests that a mother's experience of lower marital satisfaction during pregnancy may be an early sign of later problems in family relationships. © 2016 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Scaffolding Online Argumentation during Problem Solving

ERIC Educational Resources Information Center

Oh, S.; Jonassen, D. H.

2007-01-01

In this study, constraint-based argumentation scaffolding was proposed to facilitate online argumentation performance and ill-structured problem solving during online discussions. In addition, epistemological beliefs were presumed to play a role in solving ill-structured diagnosis-solution problems. Constraint-based discussion boards were…

Solving constrained minimum-time robot problems using the sequential gradient restoration algorithm

NASA Technical Reports Server (NTRS)

Lee, Allan Y.

1991-01-01

Three constrained minimum-time control problems of a two-link manipulator are solved using the Sequential Gradient and Restoration Algorithm (SGRA). The inequality constraints considered are reduced via Valentine-type transformations to nondifferential path equality constraints. The SGRA is then used to solve these transformed problems with equality constraints. The results obtained indicate that at least one of the two controls is at its limits at any instant in time. The remaining control then adjusts itself so that none of the system constraints is violated. Hence, the minimum-time control is either a pure bang-bang control or a combined bang-bang/singular control.

Processing time tolerance-based ACO algorithm for solving job-shop scheduling problem

NASA Astrophysics Data System (ADS)

Luo, Yabo; Waden, Yongo P.

2017-06-01

Ordinarily, Job Shop Scheduling Problem (JSSP) is known as NP-hard problem which has uncertainty and complexity that cannot be handled by a linear method. Thus, currently studies on JSSP are concentrated mainly on applying different methods of improving the heuristics for optimizing the JSSP. However, there still exist many problems for efficient optimization in the JSSP, namely, low efficiency and poor reliability, which can easily trap the optimization process of JSSP into local optima. Therefore, to solve this problem, a study on Ant Colony Optimization (ACO) algorithm combined with constraint handling tactics is carried out in this paper. Further, the problem is subdivided into three parts: (1) Analysis of processing time tolerance-based constraint features in the JSSP which is performed by the constraint satisfying model; (2) Satisfying the constraints by considering the consistency technology and the constraint spreading algorithm in order to improve the performance of ACO algorithm. Hence, the JSSP model based on the improved ACO algorithm is constructed; (3) The effectiveness of the proposed method based on reliability and efficiency is shown through comparative experiments which are performed on benchmark problems. Consequently, the results obtained by the proposed method are better, and the applied technique can be used in optimizing JSSP.

Teacher Satisfaction with School and Psychological Well-Being Affects Their Readiness to Help Children with Mental Health Problems

ERIC Educational Resources Information Center

Sisask, Merike; Värnik, Peeter; Värnik, Airi; Apter, Alan; Balazs, Judit; Balint, Maria; Bobes, Julio; Brunner, Romuald; Corcoran, Paul; Cosman, Doina; Feldman, Dana; Haring, Christian; Kahn, Jean-Pierre; Poštuvan, Vita; Tubiana, Alexandra; Sarchiapone, Marco; Wasserman, Camilla; Carli, Vladimir; Hoven, Christina W.; Wasserman, Danuta

2014-01-01

Objective: In support of a whole-school approach to mental health promotion, this study was conducted to find out whether and how significantly teachers' satisfaction with school and their subjective psychological well-being are related to the belief that they can help pupils with mental health problems. Design: Cross-sectional data were collected…

Constraint-Based Local Search for Constrained Optimum Paths Problems

NASA Astrophysics Data System (ADS)

Pham, Quang Dung; Deville, Yves; van Hentenryck, Pascal

Constrained Optimum Path (COP) problems arise in many real-life applications and are ubiquitous in communication networks. They have been traditionally approached by dedicated algorithms, which are often hard to extend with side constraints and to apply widely. This paper proposes a constraint-based local search (CBLS) framework for COP applications, bringing the compositionality, reuse, and extensibility at the core of CBLS and CP systems. The modeling contribution is the ability to express compositional models for various COP applications at a high level of abstraction, while cleanly separating the model and the search procedure. The main technical contribution is a connected neighborhood based on rooted spanning trees to find high-quality solutions to COP problems. The framework, implemented in COMET, is applied to Resource Constrained Shortest Path (RCSP) problems (with and without side constraints) and to the edge-disjoint paths problem (EDP). Computational results show the potential significance of the approach.

Consumer satisfaction with the Child and Adolescent Mental Health Service and its association with treatment outcome: a 3-4-year follow-up study.

PubMed

Solberg, Cathrine; Larsson, Bo; Jozefiak, Thomas

2015-04-01

Consumer satisfaction studies with the Child and Adolescent Mental Health Service (CAMHS) have mainly assessed evaluations in a short-term follow-up perspective. Adolescent reports with CAMHS have not been included nationally. The purposes of this study were to explore adolescent and parental satisfaction with the CAMHS in a 3-4-year follow-up perspective, and to examine the relationships between reported consumer satisfaction and clinical parameters such as reason for adolescent referral, emotional/behavioral symptoms and treatment outcome. Of 190 adolescent-parent pairs in a sample of CAMHS outpatients, 120 completed a Consumer Satisfaction Questionnaire. Parents assessed adolescent emotional/behavior problems both at baseline and at follow-up by completing the Child Behavior Checklist (CBCL). Correlations were examined between adolescent and parental evaluations. The relationships between service satisfaction and symptom load at baseline and follow-up and treatment outcome at follow-up were explored. Overall, adolescents and parents were satisfied with the services received from the CAMHS. The correlations between adolescent and parent consumer satisfaction ratings were low to moderate. Consumer satisfaction was significantly and negatively correlated with symptom load on the CBCL Total Problems scores at baseline, but not at follow-up. There was no difference in satisfaction levels between those who improved after treatment and those who did not. Given the differences in informant ratings of consumer satisfaction, it is important to include both adolescent and parental perceptions in evaluations of CAMHS services and treatment outcomes. Consumer satisfaction should serve as a supplement to established standardized outcome measures.

Obstacle avoidance handling and mixed integer predictive control for space robots

NASA Astrophysics Data System (ADS)

Zong, Lijun; Luo, Jianjun; Wang, Mingming; Yuan, Jianping

2018-04-01

This paper presents a novel obstacle avoidance constraint and a mixed integer predictive control (MIPC) method for space robots avoiding obstacles and satisfying physical limits during performing tasks. Firstly, a novel kind of obstacle avoidance constraint of space robots, which needs the assumption that the manipulator links and the obstacles can be represented by convex bodies, is proposed by limiting the relative velocity between two closest points which are on the manipulator and the obstacle, respectively. Furthermore, the logical variables are introduced into the obstacle avoidance constraint, which have realized the constraint form is automatically changed to satisfy different obstacle avoidance requirements in different distance intervals between the space robot and the obstacle. Afterwards, the obstacle avoidance constraint and other system physical limits, such as joint angle ranges, the amplitude boundaries of joint velocities and joint torques, are described as inequality constraints of a quadratic programming (QP) problem by using the model predictive control (MPC) method. To guarantee the feasibility of the obtained multi-constraint QP problem, the constraints are treated as soft constraints and assigned levels of priority based on the propositional logic theory, which can realize that the constraints with lower priorities are always firstly violated to recover the feasibility of the QP problem. Since the logical variables have been introduced, the optimization problem including obstacle avoidance and system physical limits as prioritized inequality constraints is termed as MIPC method of space robots, and its computational complexity as well as possible strategies for reducing calculation amount are analyzed. Simulations of the space robot unfolding its manipulator and tracking the end-effector's desired trajectories with the existence of obstacles and physical limits are presented to demonstrate the effectiveness of the proposed obstacle avoidance strategy and MIPC control method of space robots.

A Quantitative Comparative Study Measuring Consumer Satisfaction Based on Health Record Format

ERIC Educational Resources Information Center

Moore, Vivianne E.

2013-01-01

This research study used a quantitative comparative method to investigate the relationship between consumer satisfaction and communication based on the format of health record. The central problem investigated in this research study related to the format of health record used and consumer satisfaction with care provided and effect on communication…

Marital Satisfaction: Factors for Black Jamaicans and African Americans Living in the United States

ERIC Educational Resources Information Center

Edwards, Nivischi Ngozi

2009-01-01

Marital satisfaction is the strongest predictor for happiness in many areas of life (Russel & Wells, 1994). A satisfying marriage is associated with better general adjustment and fewer health problems (Bray & Jouriles, 1995). Factors that contribute to marital satisfaction reported by researchers include religion and spirituality (Anthony,…

Online Training Impact on Adjunct Faculty Compliance and Satisfaction with Professional Development

ERIC Educational Resources Information Center

Pete, Elizabeth

2016-01-01

The problem addressed by this project study was low levels of adjunct faculty compliance and satisfaction with the professional development program at a local college. The purpose of the study was to determine if an alternative delivery method would yield higher levels of compliance and satisfaction than would a traditional professional…

The effects of cosmetic surgery on body image, self-esteem, and psychological problems.

PubMed

von Soest, T; Kvalem, I L; Roald, H E; Skolleborg, K C

2009-10-01

This study aims to investigate whether cosmetic surgery has an effect on an individual's body image, general self-esteem, and psychological problems. Further tests were conducted to assess whether the extent of psychological problems before surgery influenced improvements in postoperative psychological outcomes. Questionnaire data from 155 female cosmetic surgery patients from a plastic surgery clinic were obtained before and approximately 6 months after surgery. The questionnaire consisted of measures on body image, self-esteem, and psychological problems. Pre- and postoperative values were compared. Pre- and postoperative measures were also compared with the data compiled from a representative sample of 838 Norwegian women, aged 22-55, with no cosmetic surgery experience. No differences in psychological problems between the presurgery patient and comparison samples were found, whereas differences in body image and self-esteem between the sample groups were reported in an earlier publication. Analyses further revealed an improvement in body image (satisfaction with own appearance) after surgery. A significant but rather small effect on self-esteem was also found, whereas the level of psychological problems did not change after surgery. Postoperative measures of appearance satisfaction, self-esteem, and psychological problems did not differ from values derived from the comparison sample. Finally, few psychological problems before surgery predicted a greater improvement in appearance satisfaction and self-esteem after surgery. The study provides evidence of improvement in satisfaction with own appearance after cosmetic surgery, a variable that is thought to play a central role in understanding the psychology of cosmetic surgery patients. The study also points to the factors that surgeons should be aware of, particularly the role of psychological problems, which could inhibit the positive effects of cosmetic surgery.

A Discussion of Issues in Integrity Constraint Monitoring

NASA Technical Reports Server (NTRS)

Fernandez, Francisco G.; Gates, Ann Q.; Cooke, Daniel E.

1998-01-01

In the development of large-scale software systems, analysts, designers, and programmers identify properties of data objects in the system. The ability to check those assertions during runtime is desirable as a means of verifying the integrity of the program. Typically, programmers ensure the satisfaction of such properties through the use of some form of manually embedded assertion check. The disadvantage to this approach is that these assertions become entangled within the program code. The goal of the research is to develop an integrity constraint monitoring mechanism whereby a repository of software system properties (called integrity constraints) are automatically inserted into the program by the mechanism to check for incorrect program behaviors. Such a mechanism would overcome many of the deficiencies of manually embedded assertion checks. This paper gives an overview of the preliminary work performed toward this goal. The manual instrumentation of constraint checking on a series of test programs is discussed, This review then is used as the basis for a discussion of issues to be considered in developing an automated integrity constraint monitor.

Invalid-point removal based on epipolar constraint in the structured-light method

NASA Astrophysics Data System (ADS)

Qi, Zhaoshuai; Wang, Zhao; Huang, Junhui; Xing, Chao; Gao, Jianmin

2018-06-01

In structured-light measurement, there unavoidably exist many invalid points caused by shadows, image noise and ambient light. According to the property of the epipolar constraint, because the retrieved phase of the invalid point is inaccurate, the corresponding projector image coordinate (PIC) will not satisfy the epipolar constraint. Based on this fact, a new invalid-point removal method based on the epipolar constraint is proposed in this paper. First, the fundamental matrix of the measurement system is calculated, which will be used for calculating the epipolar line. Then, according to the retrieved phase map of the captured fringes, the PICs of each pixel are retrieved. Subsequently, the epipolar line in the projector image plane of each pixel is obtained using the fundamental matrix. The distance between the corresponding PIC and the epipolar line of a pixel is defined as the invalidation criterion, which quantifies the satisfaction degree of the epipolar constraint. Finally, all pixels with a distance larger than a certain threshold are removed as invalid points. Experiments verified that the method is easy to implement and demonstrates better performance than state-of-the-art measurement systems.

Clients' reasons for terminating psychotherapy: a quantitative and qualitative inquiry.

PubMed

Roe, David; Dekel, Rachel; Harel, Galit; Fennig, Shmuel

2006-12-01

To study private-practice clients' perspective on reasons for psychotherapy termination and how these are related to demographic and treatment variables and to satisfaction with therapy. Eighty-four persons who had been in extended private-practice psychotherapy which ended in the preceding three years participated in the study. Mean number of months in treatment was 27.70 (SD = 18.70). Assessment included rating scales and open-ended questions assessing demographic variables, reasons for terminating therapy, and satisfaction with therapy. Quantitative results revealed that the most frequent reasons for termination were accomplishment of goals, circumstantial constraints and dissatisfaction with therapy, and that client satisfaction was positively related to positive reasons for termination. Qualitative results revealed two additional frequently mentioned reasons for termination: the client's need for independence and the client's involvement in new meaningful relationships. Findings suggest that psychotherapy termination may at times be required to facilitate the pursuit of personally meaningful goals.

Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction

PubMed Central

2011-01-01

Background Problematic Internet use (PIU) is a growing problem in Chinese adolescents. Little is known about associations of PIU with physical and psychological health. This study was designed to investigate the prevalence of PIU and to test the relationships between PIU and psychosomatic symptoms and life satisfaction among adolescents in mainland China. Methods A cross-sectional survey was conducted comprising a large representative sample of 17 599 students in eight cities of China. PIU was assessed by the 20-item Young Internet Addiction Test (YIAT). The Multidimensional Sub-health Questionnaire of Adolescents and the Multidimensional Students' Life Satisfaction Scale were administered to obtain information on psychosomatic symptoms and life satisfaction. Demographics and Internet usage patterns were also collected. Logistic regression was used to assess the effects of PIU on psychosomatic symptoms and life satisfaction. Results Approximately 8.1% of subjects showed PIU. Adolescents with PIU were associated with males, high school students, urban, eastern and western areas, upper self-report family economy, service type mostly used for entertainment and relieving loneliness and more frequency of Internet use. Compared with normal Internet users, adolescents with PIU were more likely to suffer from psychosomatic symptoms (P < 0.001), including lack of physical energy (P < 0.001), physiological dysfunction (P < 0.001), weakened immunity (P < 0.001), emotional symptoms (P < 0.001), behavioural symptoms (P < 0.001) and social adaptation problems (P < 0.001). Adolescents with PIU had lower scores on total and all dimensions of life satisfaction (all P < 0.001). Adjusted for the demographic and Internet-related factors, there was positive significant relationship between PIU and psychosomatic symptoms, but negatively related to life satisfaction. Conclusions PIU is common among Chinese students, and PIU was significantly associated with psychosomatic symptoms and life satisfaction. Effective measures are needed to prevent the spread of this problem and interventions to prevent the effects of PIU on psychosomatic symptoms and life satisfaction should be conducted as early as possible. PMID:21995654

Iterative repair for scheduling and rescheduling

NASA Technical Reports Server (NTRS)

Zweben, Monte; Davis, Eugene; Deale, Michael

1991-01-01

An iterative repair search method is described called constraint based simulated annealing. Simulated annealing is a hill climbing search technique capable of escaping local minima. The utility of the constraint based framework is shown by comparing search performance with and without the constraint framework on a suite of randomly generated problems. Results are also shown of applying the technique to the NASA Space Shuttle ground processing problem. These experiments show that the search methods scales to complex, real world problems and reflects interesting anytime behavior.

Determinants of job satisfaction for novice nurse managers employed in hospitals.

PubMed

Djukic, Maja; Jun, Jin; Kovner, Christine; Brewer, Carol; Fletcher, Jason

Numbering close to 300,000 nurse managers represent the largest segment of the health care management workforce. Their effectiveness is, in part, influenced by their job satisfaction. We examined factors associated with job satisfaction of novice frontline nurse managers. We used a cross-sectional, correlational survey design. The sample consisted of responders to the fifth wave of a multiyear study of new nurses in 2013 (N = 1,392; response rate of 69%) who reported working as managers (n = 209). The parent study sample consisted of registered nurses who were licensed for the first time by exam 6-18 months prior in 1 of 51 selected metropolitan statistical areas and 9 rural areas across 34 U.S. states and the District of Columbia. We examined bivariate correlations between job satisfaction and 31 personal and structural variables. All variables significantly related to job satisfaction in bivariate analysis were included in a multivariate linear regression model. In addition, we tested the interaction effects of procedural justice and negative affectivity, autonomy, and organizational constraints on job satisfaction. The Cronbach's alphas for all multi-item scales ranged from .74 to .96. In the multivariate analysis, negative affectivity (β = -.169; p = .006) and procedural justice (β = .210; p = .016) were significantly correlated with job satisfaction. The combination of predictors in the model accounted for half of the variability in job satisfaction ratings (R = .51, adjusted R = .47; p <. 001). Health care executives who want to cultivate an effective novice frontline nurse manager workforce can best ensure their satisfaction by creating an organization with strong procedural justice. This could be achieved by involving managers in decision-making processes and ensuring transparency about how decisions that affect nursing are made.

An interval-possibilistic basic-flexible programming method for air quality management of municipal energy system through introducing electric vehicles.

PubMed

Yu, L; Li, Y P; Huang, G H; Shan, B G

2017-09-01

Contradictions of sustainable transportation development and environmental issues have been aggravated significantly and been one of the major concerns for energy systems planning and management. A heavy emphasis is placed on stimulation of electric vehicles (EVs) to handle these problems associated with various complexities and uncertainties in municipal energy system (MES). In this study, an interval-possibilistic basic-flexible programming (IPBFP) method is proposed for planning MES of Qingdao, where uncertainties expressed as interval-flexible variables and interval-possibilistic parameters can be effectively reflected. Support vector regression (SVR) is used for predicting electricity demand of the city under various scenarios. Solutions of EVs stimulation levels and satisfaction levels in association with flexible constraints and predetermined necessity degrees are analyzed, which can help identify the optimized energy-supply patterns that could plunk for improvement of air quality and hedge against violation of soft constraints. Results disclose that largely developing EVs can help facilitate the city's energy system with an environment-effective way. However, compared to the rapid growth of transportation, the EVs' contribution of improving the city's air quality is limited. It is desired that, to achieve an environmentally sustainable MES, more concerns should be focused on the integration of increasing renewable energy resources, stimulating EVs as well as improving energy transmission, transport and storage. Copyright © 2017 Elsevier B.V. All rights reserved.

Tracking dynamic team activity

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tambe, M.

1996-12-31

AI researchers are striving to build complex multi-agent worlds with intended applications ranging from the RoboCup robotic soccer tournaments, to interactive virtual theatre, to large-scale real-world battlefield simulations. Agent tracking - monitoring other agent`s actions and inferring their higher-level goals and intentions - is a central requirement in such worlds. While previous work has mostly focused on tracking individual agents, this paper goes beyond by focusing on agent teams. Team tracking poses the challenge of tracking a team`s joint goals and plans. Dynamic, real-time environments add to the challenge, as ambiguities have to be resolved in real-time. The central hypothesismore » underlying the present work is that an explicit team-oriented perspective enables effective team tracking. This hypothesis is instantiated using the model tracing technology employed in tracking individual agents. Thus, to track team activities, team models are put to service. Team models are a concrete application of the joint intentions framework and enable an agent to track team activities, regardless of the agent`s being a collaborative participant or a non-participant in the team. To facilitate real-time ambiguity resolution with team models: (i) aspects of tracking are cast as constraint satisfaction problems to exploit constraint propagation techniques; and (ii) a cost minimality criterion is applied to constrain tracking search. Empirical results from two separate tasks in real-world, dynamic environments one collaborative and one competitive - are provided.« less

Initial Reliability and Validity of the Life Satisfaction Scale for Problem Youth in a Sample of Drug Abusing and Conduct Disordered Youth

ERIC Educational Resources Information Center

Donohue, Brad; Teichner, Gordon; Azrin, Nathan; Weintraub, Noah; Crum, Thomas A.; Murphy, Leah; Silver, N. Clayton

2003-01-01

Responses to Life Satisfaction Scale for Problem Youth (LSSPY) items were examined in a sample of 193 substance abusing and conduct disordered adolescents. In responding to the LSSPY, youth endorse their percentage of happiness (0 to 100%) in twelve domains (i.e., friendships, family, school, employment/work, fun activities, appearance, sex…

Medical Students' Satisfaction and Academic Performance with Problem-Based Learning in Practice-Based Exercises for Epidemiology and Health Demographics

ERIC Educational Resources Information Center

Jiménez-Mejías, E.; Amezcua-Prieto, C.; Martínez-Ruiz, V.; Olvera-Porcel, M. C.; Jiménez-Moleón, J. J.; Lardelli Claret, P.

2015-01-01

The aim of this study was to evaluate the effect of problem-based learning (PBL) on university students' satisfaction with and academic performance in a course on epidemiology and social and demographic health. The participants in this interventional study were 529 students (272 in the intervention group and 257 in the control group) enrolled in a…

Conflict Resolution in Chinese Adolescents' Friendship: Links with Regulatory Focus and Friendship Satisfaction.

PubMed

Gao, Qin; Bian, Ran; Liu, Ru-de; He, Yili; Oei, Tian-Po

2017-04-03

It is generally acknowledged that people adopt different resolution strategies when facing conflicts with others. However, the mechanisms of conflict resolution are still unclear and under researched, in particular within the context of Chinese adolescents' same-sex friendship relations. Thus, the present study investigated the mediator role of conflict resolution strategies in the relationship between regulatory foci and friendship satisfaction for the first time. 653 Chinese adolescents completed the regulatory foci, conflict resolution style, and friendship satisfaction measures. The results of the structure equation modeling showed that while promotion focus was positively associated with problem-solving and compliance, prevention focus was positively associated with withdrawal and conflict engagement. In addition, problem-solving mediated the relationship between promotion focus and friendship satisfaction, and conflict engagement mediated the relationship between prevention focus and friendship satisfaction. These findings contribute to understanding Chinese adolescents' use of conflict resolution strategies as well as the relationship between regulatory foci and behavioral strategies in negative situations.

Integrated case management for work-related upper-extremity disorders: impact of patient satisfaction on health and work status.

PubMed

Feuerstein, Michael; Huang, Grant D; Ortiz, Jose M; Shaw, William S; Miller, Virginia I; Wood, Patricia M

2003-08-01

An integrated case management (ICM) approach (ergonomic and problem-solving intervention) to work-related upper-extremity disorders was examined in relation to patient satisfaction, future symptom severity, function, and return to work (RTW). Federal workers with work-related upper-extremity disorder workers' compensation claims (n = 205) were randomly assigned to usual care or ICM intervention. Patient satisfaction was assessed after the 4-month intervention period. Questionnaires on clinical outcomes and ergonomic exposure were administered at baseline and at 6- and 12-months postintervention. Time from intervention to RTW was obtained from an administrative database. ICM group assignment was significantly associated with greater patient satisfaction. Regression analyses found higher patient satisfaction levels predicted decreased symptom severity and functional limitations at 6 months and a shorter RTW. At 12 months, predictors of positive outcomes included male gender, lower distress, lower levels of reported ergonomic exposure, and receipt of ICM. Findings highlight the utility of targeting workplace ergonomic and problem solving skills.

An evaluation of independent consumer assistance centers on problem resolution and user satisfaction: the consumer perspective.

PubMed

Nascimento, Lori Miller; Cousineau, Michael R

2005-04-01

Individuals who wish to receive independent assistance to resolve access to care health problems have limited options. The Health Consumer Alliance (HCA) is an independent, coordinated effort of nine legal services organizations that provide free assistance to low-income health consumers in 10 California counties. The need for the HCA stems from the vast number of health consumers with unanswered questions and unresolved problems relating to access to care issues, among both insured and uninsured populations. However, little is known about the effectiveness of independent consumer assistance centers. This paper examines the effectiveness of a network of independent consumer assistance programs in resolving consumer problems and consumers' level of satisfaction with services received. As the project evaluators, we conducted telephone surveys with 1,291 users of the HCA to assess if this independent program resolved consumer problems, and to measure the level of satisfaction among HCA users. Specifically, we asked questions about the HCA's influence on problem resolution, consumer satisfaction, health insurance status and use of preventive care services. From 1997 to 2001, more than 46,000 consumers contacted the seven health consumer centers (HCCs). According to our sample of respondents, results show that the HCCs are an important resource for low-income Californians trying to access health care. After contacting the HCCs, 62 percent of the participants report that their problems were resolved. In addition, 87 percent of the participants said the HCCs were helpful and 95 percent said they would be likely to contact the HCC again if necessary.

Advantages of soft versus hard constraints in self-modeling curve resolution problems. Penalty alternating least squares (P-ALS) extension to multi-way problems.

PubMed

Richards, Selena; Miller, Robert; Gemperline, Paul

2008-02-01

An extension to the penalty alternating least squares (P-ALS) method, called multi-way penalty alternating least squares (NWAY P-ALS), is presented. Optionally, hard constraints (no deviation from predefined constraints) or soft constraints (small deviations from predefined constraints) were applied through the application of a row-wise penalty least squares function. NWAY P-ALS was applied to the multi-batch near-infrared (NIR) data acquired from the base catalyzed esterification reaction of acetic anhydride in order to resolve the concentration and spectral profiles of l-butanol with the reaction constituents. Application of the NWAY P-ALS approach resulted in the reduction of the number of active constraints at the solution point, while the batch column-wise augmentation allowed hard constraints in the spectral profiles and resolved rank deficiency problems of the measurement matrix. The results were compared with the multi-way multivariate curve resolution (MCR)-ALS results using hard and soft constraints to determine whether any advantages had been gained through using the weighted least squares function of NWAY P-ALS over the MCR-ALS resolution.

Race and Gender as Moderator Variables in Predicting Relationship Satisfaction and Relationship Commitment in a Sample of Dating Heterosexual Couples.

ERIC Educational Resources Information Center

Sanderson, Bettie; Kurdek, Lawrence A.

1993-01-01

Examined relationship satisfaction and commitment among African-American (n=34 couples) and white (n=61 couples) dating heterosexual couples. Found that extent to which variables from interdependence, individual differences, and problem-solving models were linked to both relationship satisfaction and relationship commitment did not differ for…

Intact Marriages in which One Partner Dis-Identifies with Experiences of Same-Sex Attraction.

ERIC Educational Resources Information Center

Yarhouse, Mark A.; Pawlowski, Lisa M.; Tan, Erica S. N.

2003-01-01

This study is of heterosexually married couples in which one partner reports having experienced same-sex attraction and both partners report satisfaction with their marriage despite facing such constraints. Analysis suggested a number of themes related to how spouses learned about their partners' experiences of same-sex attraction, motivations for…

A Comparison of Four Item-Selection Methods for Severely Constrained CATs

ERIC Educational Resources Information Center

He, Wei; Diao, Qi; Hauser, Carl

2014-01-01

This study compared four item-selection procedures developed for use with severely constrained computerized adaptive tests (CATs). Severely constrained CATs refer to those adaptive tests that seek to meet a complex set of constraints that are often not conclusive to each other (i.e., an item may contribute to the satisfaction of several…

A hospital-wide transition from paper to digital problem-oriented clinical notes. A descriptive history and cross-sectional survey of use, usability, and satisfaction.

PubMed

Cillessen, Felix H J M; de Vries Robbé, Pieter F; Biermans, Marion C J

2017-05-17

To evaluate the use, usability, and physician satisfaction of a locally developed problem-oriented clinical notes application that replaced paper-based records in a large Dutch university medical center. Using a clinical notes database and an application event log file and a cross-sectional survey of usability, authors retrospectively analyzed system usage for medical specialties, users, and patients over 4 years. A standardized questionnaire measured usability. Authors analyzed the effects of sex, age, professional experience, training hours, and medical specialty on user satisfaction via univariate analysis of variance. Authors also examined the correlation between user satisfaction in relation to users' intensity of use of the application. In total 1,793 physicians used the application to record progress notes for 219,755 patients. The overall satisfaction score was 3.2 on a scale from 1 (highly dissatisfied) to 5 (highly satisfied). A statistically significant difference occurred in satisfaction by medical specialty, but no statistically significant differences in satisfaction took place by sex, age, professional experience, or training hours. Intensity of system use did not correlate with physician satisfaction. By two years after the start of the implementation, all medical specialties utilized the clinical notes application. User satisfaction was neutral (3.2 on a 1-5 scale). Authors believe that the significant factors facilitating this transition mirrored success factors reported by other groups: a generic, consistent, and transparent design of the application; intensive collaboration; continuous monitoring; and an incremental rollout.

Guidance and flight control law development for hypersonic vehicles

NASA Technical Reports Server (NTRS)

Calise, A. J.; Markopoulos, N.

1993-01-01

During the third reporting period our efforts were focused on a reformulation of the optimal control problem involving active state-variable inequality constraints. In the reformulated problem the optimization is carried out not with respect to all controllers, but only with respect to asymptotic controllers leading to the state constraint boundary. Intimately connected with the traditional formulation is the fact that when the reduced solution for such problems lies on a state constraint boundary, the corresponding boundary layer transitions are of finite time in the stretched time scale. Thus, it has been impossible so far to apply the classical asymptotic boundary layer theory to such problems. Moreover, the traditional formulation leads to optimal controllers that are one-sided, that is, they break down when a disturbance throws the system on the prohibited side of the state constraint boundary.

[What patients think of the services of the Instituto Nacional de la Nutrición "Salvador Zubirán"].

PubMed

Ruiz-González, C; Vargas-Vorácková, F; Castillo-Rentería, C; Pérez Pimentel, L; Martínez Mata, R A

1990-01-01

The quality of care has always been a subject of interest to the Instituto Nacional de la Nutrición "Salvador Zubirán", in order to improve its services. This interest led to the present survey which aims to evaluate the patient's global satisfaction and to identify specific problems susceptible of improvement. One hundred and seventy-one patients or relatives attending eight different services of the Institute were interviewed. Opinions about the following aspects were explored by means of service-specific questionnaires: sociodemographic characteristics, satisfaction with care, waiting periods, patient-personnel relationship, hospital environment, food quality, drug availability and costs. Results of the survey show a high level of satisfaction with the services provided, i.e. 33% of the patients considered it good, and 64% excellent. However, and in agreement with other reports, this high level of satisfaction does not necessarily reflect an absence of problems, i.e. long waiting periods, insufficient restrooms, failures in getting information about their health status, and occasional absence of drugs in the pharmacy were identified. Continuation of this kind of surveys in our setting leads not only to the identification of problems, but also to the evaluation of the impact that resulting measures may have on the patient's satisfaction.

Community Mental Health as a Population-based Mental Health Approach.

PubMed

Yuxuan Cai, Stefanie; Shuen Sheng Fung, Daniel

2016-01-01

Mental health services for youths in Singapore were challenged by accessibility and resource constraints. A community-based mental health program working with schools and other partners was developed to address the population needs. To describe the formation of a community-based mental health program and evaluate the program in terms of its outcome and the satisfaction of the users of this program. Based on needs analyses, a community multidisciplinary team was set up in 15 schools to pilot a new model of care for youths. Implemented progressively over five years, networks of teams were divided into four geographic zones. Each zone had clusters of 10 to 15 schools. These teams worked closely with school counselors. Teams were supported by a psychiatrist and a resident. Interventions were focused on empowering school-based personnel to work with students and families, with the support of the teams. 4,184 students were served of whom 10% were seen by the school counselors and supported by the community team. Only 0.15% required referral to tertiary services. Outcome measured by counselor and teacher ratings showed improvements in the Clinical Global Impression scale and Strengths and Difficulties Questionnaire. These included reductions in conduct problems, emotional problems, hyperactive behaviors and peer problems. Furthermore, prosocial behavior also significantly improved. Preliminary cost effectiveness analyses suggest that community treatments are superior to clinic interventions.

Investigation of marital satisfaction and its relationship with job stress and general health of nurses in Qazvin, Iran

PubMed Central

Azimian, Jalil; Piran, Pegah; Jahanihashemi, Hassan; Dehghankar, Leila

2017-01-01

Background Pressures in nursing can affect family life and marital problems, disrupt common social problems, increase work-family conflicts and endanger people’s general health. Aim To determine marital satisfaction and its relationship with job stress and general health of nurses. Methods This descriptive and cross-sectional study was done in 2015 in medical educational centers of Qazvin by using an ENRICH marital satisfaction scale and General Health and Job Stress questionnaires completed by 123 nurses. Analysis was done by SPSS version 19 using descriptive and analytical statistics (Pearson correlation, t-test, ANOVA, Chi-square, regression line, multiple regression analysis). Results The findings showed that 64.4% of nurses had marital satisfaction. There was significant relationship between age (p=0.03), job experience (p=0.01), age of spouse (p=0.01) and marital satisfaction. The results showed that there was a significant relationship between marital satisfaction and general health (p<0.0001). Multiple regression analysis showed that there was a significant relationship between depression (p=0.012) and anxiety (p=0.001) with marital satisfaction. Conclusions Due to high levels of job stress and disorder in general health of nurses and low marital satisfaction by running health promotion programs and paying attention to its dimensions can help work and family health of nurses. PMID:28607660

Analysis of factors affecting satisfaction level on problem based learning approach using structural equation modeling

NASA Astrophysics Data System (ADS)

Hussain, Nur Farahin Mee; Zahid, Zalina

2014-12-01

Nowadays, in the job market demand, graduates are expected not only to have higher performance in academic but they must also be excellent in soft skill. Problem-Based Learning (PBL) has a number of distinct advantages as a learning method as it can deliver graduates that will be highly prized by industry. This study attempts to determine the satisfaction level of engineering students on the PBL Approach and to evaluate their determinant factors. The Structural Equation Modeling (SEM) was used to investigate how the factors of Good Teaching Scale, Clear Goals, Student Assessment and Levels of Workload affected the student satisfaction towards PBL approach.

Optimal Power Allocation for Downstream xDSL With Per-Modem Total Power Constraints: Broadcast Channel Optimal Spectrum Balancing (BC-OSB)

NASA Astrophysics Data System (ADS)

Le Nir, Vincent; Moonen, Marc; Verlinden, Jan; Guenach, Mamoun

2009-02-01

Recently, the duality between Multiple Input Multiple Output (MIMO) Multiple Access Channels (MAC) and MIMO Broadcast Channels (BC) has been established under a total power constraint. The same set of rates for MAC can be achieved in BC exploiting the MAC-BC duality formulas while preserving the total power constraint. In this paper, we describe the BC optimal power allo- cation applying this duality in a downstream x-Digital Subscriber Lines (xDSL) context under a total power constraint for all modems over all tones. Then, a new algorithm called BC-Optimal Spectrum Balancing (BC-OSB) is devised for a more realistic power allocation under per-modem total power constraints. The capacity region of the primal BC problem under per-modem total power constraints is found by the dual optimization problem for the BC under per-modem total power constraints which can be rewritten as a dual optimization problem in the MAC by means of a precoder matrix based on the Lagrange multipliers. We show that the duality gap between the two problems is zero. The multi-user power allocation problem has been solved for interference channels and MAC using the OSB algorithm. In this paper we solve the problem of multi-user power allocation for the BC case using the OSB algorithm as well and we derive a computational efficient algorithm that will be referred to as BC-OSB. Simulation results are provided for two VDSL2 scenarios: the first one with Differential-Mode (DM) transmission only and the second one with both DM and Phantom- Mode (PM) transmissions.

Trajectory Design to Mitigate Risk on the Transiting Exoplanet Survey Satellite (TESS) Mission

NASA Technical Reports Server (NTRS)

Dichmann, Donald

2016-01-01

The Transiting Exoplanet Survey Satellite (TESS) will employ a highly eccentric Earth orbit, in 2:1 lunar resonance, reached with a lunar flyby preceded by 3.5 phasing loops. The TESS mission has limited propellant and several orbit constraints. Based on analysis and simulation, we have designed the phasing loops to reduce delta-V and to mitigate risk due to maneuver execution errors. We have automated the trajectory design process and use distributed processing to generate and to optimize nominal trajectories, check constraint satisfaction, and finally model the effects of maneuver errors to identify trajectories that best meet the mission requirements.

Near-Field Diffraction Imaging from Multiple Detection Planes

NASA Astrophysics Data System (ADS)

Loetgering, L.; Golembusch, M.; Hammoud, R.; Wilhein, T.

2017-06-01

We present diffraction imaging results obtained from multiple near-field diffraction constraints. An iterative phase retrieval algorithm was implemented that uses data redundancy achieved by measuring near-field diffraction intensities at various sample-detector distances. The procedure allows for reconstructing the exit surface wave of a sample within a multiple constraint satisfaction framework neither making use of a priori knowledge as enforced in coherent diffraction imaging (CDI) nor exact scanning grid knowledge as required in ptychography. We also investigate the potential of the presented technique to deal with polychromatic radiation as important for potential application in diffraction imaging by means of tabletop EUV and X-ray sources.

Sexual satisfaction following bariatric surgery: A prospective exploratory study.

PubMed

Ferrer-Márquez, Manuel; Pomares-Callejón, María Ángeles; Fernández-Agis, Inmaculada; Belda-Lozano, Ricardo; Vidaña-Márquez, Elisabet; Soriano-Maldonado, Alberto

2017-11-01

Bariatric surgery improves sexual function in obese individuals, although the extent to which sexual satisfaction is improved following surgery is unknown. The aims of this study were 1) to describe sexual satisfaction in severely/morbidly obese men and women candidates for bariatric surgery; 2) to assess the effects of bariatric surgery on sexual satisfaction at 12-months follow-up; and 3) to assess whether weight changes at follow-up following bariatric surgery are associated with changes in sexual satisfaction. We conducted a prospective observational study from February 2011 to June 2014. A total of 44 patients with severe/morbid obesity participated in the study. Sexual satisfaction was assessed (at baseline and 12-months follow-up) through the Index of Sexual Satisfaction (ISS) questionnaire. Of 44 patients who completed the ISS at baseline (mean age 40.3 [SD=9.4] years and BMI 46.9 [SD=6.2] kg/m 2 ), 17 were lost to follow-up. The baseline ISS total scores were 32.0 (SD=20.1) in women and 24.4 (SD=16.0) in men (P>0.05). The proportion of sexually satisfied men and women at baseline was 62.5% and 46.4%, respectively (P=0.360). At follow-up, sexual satisfaction improved significantly in women (average difference 13.7 units; P=0.032) but not in men (average difference 3.6 units; P=0.717). The percentage of women with sexual satisfaction problems was reduced by 33% at follow-up (P=0.038). A relatively large percentage of severely/morbidly obese women and men present clinically significant sexual satisfaction problems before undergoing bariatric surgery. Sexual satisfaction improves significantly 12 months following bariatric surgery, particularly in women. Copyright © 2017 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.

Cognitive constraints on high school students' representations of real environmental problems

NASA Astrophysics Data System (ADS)

Barnes, Ervin Kenneth

One class of juniors and seniors was studied through one semester in the investigation of how students think about, learn from, and solve real environmental problems. The intention was to listen to student voices while researching the features of their representations of these problems, the beliefs they held (tenets), the cognitive processes they employed, and the principles of science, ecology, problem solving, and ethics they held as tenets. The focus was upon two self-selected groups as they perceived, engaged, analyzed, and proposed solutions for problems. Analysis of the student representations involved interpretation of the features to include both the perspective tenets and the envisioning processes. These processes included the intentive and attentive constraints as tenet acquisition and volitive and agential constraints as tenet affirmation. The perspective tenets included a variety of conceptual (basic science, ecological, ethical, and problem-solving) constraints as well as ontological, epistemological, and other cultural (role, status, power, and community) constraints. The perspective tenets were interpreted thematically including the ways populations of people cause and care about environmental problems, the magnitude of environmental problems and the science involved, the expectations and limitations students perceive for themselves, and the importance of community awareness and cooperation to addressing these problems. Some of these tenets were interpreted to be principles in that they were rules that were accepted by some people as true. The perspective tenets, along with the envisioning processes, were perceived to be the constraints that determined the environmental problems and limited the solution possibilities. The students thought about environmental problems in mature and principled ways using a repertoire of cognitive processes. They learned from them as they acquired and affirmed tenets. They solved them through personal choices and efforts to increase community awareness. The ways students think about, learn from, and solve real environmental problems were all constrained by the perspective tenets (including cultural tenets of role, status, and power) and envisioning processes. It was concluded that students need help from the community to go further in solving these real environmental problems.

Is patient satisfaction and perceived service quality with musculoskeletal rehabilitation determined by patient experiences?

PubMed

Medina-Mirapeix, Francesc; Jimeno-Serrano, Francisco J; Escolar-Reina, Pilar; Del Baño-Aledo, M Elena

2013-06-01

To assess the relationships between patient experiences and two overall evaluations - satisfaction and service quality - in outpatient rehabilitation settings. A cross-sectional, self-reported survey carried out in the year 2009. Three outpatient rehabilitation units belonging to Spanish hospitals located in Barcelona, Madrid and Seville. Four hundred and sixty-five outpatients (response rate 90%) mean age 39.4 (SD = 11.9) years. Self-reported experiences on aspects of care, participants' perception of service quality, satisfaction with care, socio-demographic and health characteristics. Satisfaction and service quality were highly correlated (rho = 0.72, P< 0.001). Two multivariate logistic regression models using satisfaction and service quality (with adjusted R(2) 31.5% and 37.1%, respectively) indicated that patients' experiences and global rating of health improvement have more effect on those evaluations than socio-demographic characteristics. Mean satisfaction was 8.9 (SD = 1.2), and 88% of respondents described high service quality. However, nearly 25% of the respondents who reported high-quality evaluations also indicated a problem score of more than 50% in almost all aspects of care studied. Satisfaction and service quality provide a poor indicator of patients' experiences. Both are two proxies but distinct constructs in rehabilitation care. Besides, not all problems encountered by patients are equally important to them.

Decomposition method for zonal resource allocation problems in telecommunication networks

NASA Astrophysics Data System (ADS)

Konnov, I. V.; Kashuba, A. Yu

2016-11-01

We consider problems of optimal resource allocation in telecommunication networks. We first give an optimization formulation for the case where the network manager aims to distribute some homogeneous resource (bandwidth) among users of one region with quadratic charge and fee functions and present simple and efficient solution methods. Next, we consider a more general problem for a provider of a wireless communication network divided into zones (clusters) with common capacity constraints. We obtain a convex quadratic optimization problem involving capacity and balance constraints. By using the dual Lagrangian method with respect to the capacity constraint, we suggest to reduce the initial problem to a single-dimensional optimization problem, but calculation of the cost function value leads to independent solution of zonal problems, which coincide with the above single region problem. Some results of computational experiments confirm the applicability of the new methods.

Toward a Mature Science of Consciousness

PubMed Central

Wiese, Wanja

2018-01-01

In Being No One, Metzinger (2004[2003]) introduces an approach to the scientific study of consciousness that draws on theories and results from different disciplines, targeted at multiple levels of analysis. Descriptions and assumptions formulated at, for instance, the phenomenological, representationalist, and neurobiological levels of analysis provide different perspectives on the same phenomenon, which can ultimately yield necessary and sufficient conditions for applying the concept of phenomenal representation. In this way, the “method of interdisciplinary constraint satisfaction (MICS)” (as it has been called by Weisberg, 2005) promotes our understanding of consciousness. However, even more than a decade after the first publication of Being No One, we still lack a mature science of consciousness. This paper makes the following meta-theoretical contribution: It analyzes the hurdles an approach such as MICS has yet to overcome and discusses to what extent existing approaches solve the problems left open by MICS. Furthermore, it argues that a unifying theory of different features of consciousness is required to reach a mature science of consciousness. PMID:29896136

Robust ADP Design for Continuous-Time Nonlinear Systems With Output Constraints.

PubMed

Fan, Bo; Yang, Qinmin; Tang, Xiaoyu; Sun, Youxian

2018-06-01

In this paper, a novel robust adaptive dynamic programming (RADP)-based control strategy is presented for the optimal control of a class of output-constrained continuous-time unknown nonlinear systems. Our contribution includes a step forward beyond the usual optimal control result to show that the output of the plant is always within user-defined bounds. To achieve the new results, an error transformation technique is first established to generate an equivalent nonlinear system, whose asymptotic stability guarantees both the asymptotic stability and the satisfaction of the output restriction of the original system. Furthermore, RADP algorithms are developed to solve the transformed nonlinear optimal control problem with completely unknown dynamics as well as a robust design to guarantee the stability of the closed-loop systems in the presence of unavailable internal dynamic state. Via small-gain theorem, asymptotic stability of the original and transformed nonlinear system is theoretically guaranteed. Finally, comparison results demonstrate the merits of the proposed control policy.

Toward a Mature Science of Consciousness.

PubMed

Wiese, Wanja

2018-01-01

In Being No One , Metzinger (2004[2003]) introduces an approach to the scientific study of consciousness that draws on theories and results from different disciplines, targeted at multiple levels of analysis. Descriptions and assumptions formulated at, for instance, the phenomenological, representationalist, and neurobiological levels of analysis provide different perspectives on the same phenomenon, which can ultimately yield necessary and sufficient conditions for applying the concept of phenomenal representation. In this way, the "method of interdisciplinary constraint satisfaction (MICS)" (as it has been called by Weisberg, 2005) promotes our understanding of consciousness. However, even more than a decade after the first publication of Being No One , we still lack a mature science of consciousness. This paper makes the following meta-theoretical contribution: It analyzes the hurdles an approach such as MICS has yet to overcome and discusses to what extent existing approaches solve the problems left open by MICS. Furthermore, it argues that a unifying theory of different features of consciousness is required to reach a mature science of consciousness.

Graphical explanation in an expert system for Space Station Freedom rack integration

NASA Technical Reports Server (NTRS)

Craig, F. G.; Cutts, D. E.; Fennel, T. R.; Purves, B.

1990-01-01

The rationale and methodology used to incorporate graphics into explanations provided by an expert system for Space Station Freedom rack integration is examined. The rack integration task is typical of a class of constraint satisfaction problems for large programs where expertise from several areas is required. Graphically oriented approaches are used to explain the conclusions made by the system, the knowledge base content, and even at more abstract levels the control strategies employed by the system. The implemented architecture combines hypermedia and inference engine capabilities. The advantages of this architecture include: closer integration of user interface, explanation system, and knowledge base; the ability to embed links to deeper knowledge underlying the compiled knowledge used in the knowledge base; and allowing for more direct control of explanation depth and duration by the user. The graphical techniques employed range from simple statis presentation of schematics to dynamic creation of a series of pictures presented motion picture style. User models control the type, amount, and order of information presented.

Evolutionary Multiobjective Design Targeting a Field Programmable Transistor Array

NASA Technical Reports Server (NTRS)

Aguirre, Arturo Hernandez; Zebulum, Ricardo S.; Coello, Carlos Coello

2004-01-01

This paper introduces the ISPAES algorithm for circuit design targeting a Field Programmable Transistor Array (FPTA). The use of evolutionary algorithms is common in circuit design problems, where a single fitness function drives the evolution process. Frequently, the design problem is subject to several goals or operating constraints, thus, designing a suitable fitness function catching all requirements becomes an issue. Such a problem is amenable for multi-objective optimization, however, evolutionary algorithms lack an inherent mechanism for constraint handling. This paper introduces ISPAES, an evolutionary optimization algorithm enhanced with a constraint handling technique. Several design problems targeting a FPTA show the potential of our approach.

Artificial bee colony algorithm for constrained possibilistic portfolio optimization problem

NASA Astrophysics Data System (ADS)

Chen, Wei

2015-07-01

In this paper, we discuss the portfolio optimization problem with real-world constraints under the assumption that the returns of risky assets are fuzzy numbers. A new possibilistic mean-semiabsolute deviation model is proposed, in which transaction costs, cardinality and quantity constraints are considered. Due to such constraints the proposed model becomes a mixed integer nonlinear programming problem and traditional optimization methods fail to find the optimal solution efficiently. Thus, a modified artificial bee colony (MABC) algorithm is developed to solve the corresponding optimization problem. Finally, a numerical example is given to illustrate the effectiveness of the proposed model and the corresponding algorithm.

A Simple Label Switching Algorithm for Semisupervised Structural SVMs.

PubMed

Balamurugan, P; Shevade, Shirish; Sundararajan, S

2015-10-01

In structured output learning, obtaining labeled data for real-world applications is usually costly, while unlabeled examples are available in abundance. Semisupervised structured classification deals with a small number of labeled examples and a large number of unlabeled structured data. In this work, we consider semisupervised structural support vector machines with domain constraints. The optimization problem, which in general is not convex, contains the loss terms associated with the labeled and unlabeled examples, along with the domain constraints. We propose a simple optimization approach that alternates between solving a supervised learning problem and a constraint matching problem. Solving the constraint matching problem is difficult for structured prediction, and we propose an efficient and effective label switching method to solve it. The alternating optimization is carried out within a deterministic annealing framework, which helps in effective constraint matching and avoiding poor local minima, which are not very useful. The algorithm is simple and easy to implement. Further, it is suitable for any structured output learning problem where exact inference is available. Experiments on benchmark sequence labeling data sets and a natural language parsing data set show that the proposed approach, though simple, achieves comparable generalization performance.

Optimization technique for problems with an inequality constraint

NASA Technical Reports Server (NTRS)

Russell, K. J.

1972-01-01

General technique uses a modified version of an existing technique termed the pattern search technique. New procedure called the parallel move strategy permits pattern search technique to be used with problems involving a constraint.

Constraints in Genetic Programming

NASA Technical Reports Server (NTRS)

Janikow, Cezary Z.

1996-01-01

Genetic programming refers to a class of genetic algorithms utilizing generic representation in the form of program trees. For a particular application, one needs to provide the set of functions, whose compositions determine the space of program structures being evolved, and the set of terminals, which determine the space of specific instances of those programs. The algorithm searches the space for the best program for a given problem, applying evolutionary mechanisms borrowed from nature. Genetic algorithms have shown great capabilities in approximately solving optimization problems which could not be approximated or solved with other methods. Genetic programming extends their capabilities to deal with a broader variety of problems. However, it also extends the size of the search space, which often becomes too large to be effectively searched even by evolutionary methods. Therefore, our objective is to utilize problem constraints, if such can be identified, to restrict this space. In this publication, we propose a generic constraint specification language, powerful enough for a broad class of problem constraints. This language has two elements -- one reduces only the number of program instances, the other reduces both the space of program structures as well as their instances. With this language, we define the minimal set of complete constraints, and a set of operators guaranteeing offspring validity from valid parents. We also show that these operators are not less efficient than the standard genetic programming operators if one preprocesses the constraints - the necessary mechanisms are identified.

Teaching evidence-based medicine using a problem-oriented approach.

PubMed

Hosny, Somaya; Ghaly, Mona S

2014-04-01

Faculty of Medicine, Suez Canal University is adopting an innovative curriculum. Evidence-based medicine (EBM) has been integrated into problem based learning (PBL) sessions as a responsive innovative paradigm for the practice and teaching of clinical medicine. To integrate EBM in the problem based sessions of the sixth-year students, and to assess students' and tutor satisfaction with this change. EBM training was conducted for sixth-year students (196) including four theoretical, and eight practical sessions. Sixteen EBM educational scenarios (problems) were formulated, according to sixth-year curriculum. Each problem was discussed in two sessions through steps of EBM, namely: formulating PICO questions, searching for and appraising evidence, applying the evidence to the clinical scenario and analysing the practice. Students and tutors satisfaction were evaluated using a 3-point ratings questionnaire. The majority of students and faculty expressed their satisfaction about integrating EBM with PBL and agreed that the problems were more stimulating. However, 33.6% of students indicated that available time was insufficient for searching literatures. Integrating EBM into PBL sessions tends to be more interesting and stimulating than traditional PBL sessions for final year students and helps them to practice and implement EBM in clinical context.

Adults and Children with Asperger Syndrome: Exploring Adult Attachment Style, Marital Satisfaction and Satisfaction with Parenthood

ERIC Educational Resources Information Center

Lau, Winnie; Peterson, Candida C.

2011-01-01

Asperger syndrome (AS) is a disorder resembling autism in its problems with social interaction and cognitive flexibility. Today, a number of adults with AS marry and rear children. Yet there has been little research into the quality of their marital and parental relationships. This study explored romantic attachment style, marital satisfaction and…

Hope and Life Satisfaction in Black College Students Coping with Race-Related Stress

ERIC Educational Resources Information Center

Danoff-Burg, Sharon; Prelow, Hazel M.; Swenson, Rebecca R.

2004-01-01

This exploratory study examined the effects of hope and coping with race-related stress on life satisfaction in Black college students. Findings indicated that students with high hope had greater coping efficacy and used more problem-focused coping than students with low hope. Neither coping nor hope had a direct effect on life satisfaction.…

Does Relational Efficacy Index Interactional Behaviors Associated with Marital Satisfaction across the Transition to Parenthood?

ERIC Educational Resources Information Center

Irwin, Ruth Ann C.; And Others

Many couples suffer a decline in marital satisfaction over the transition to parenthood. Previous research indicated that a couple's relational efficacy (a measure of a couple's belief in their ability to solve problems) before the birth of their first child was one of the strongest predictors of their marital satisfaction after the birth. This…

Telephone Delivered Cognitive Behavioral Therapy for Chronic Pain Following Traumatic Brain Injury

DTIC Science & Technology

2016-10-01

impression of change, and life satisfaction (secondary outcomes) relative to a telephone-delivered pain psycho-educational active control condition...global impression of change, and life satisfaction (secondary outcomes) relative to a telephone-delivered pain psycho-educational active control...interference, sleep problems, and depression, as well as improving global impression of change and life satisfaction . •We will determine whether

Clinician burnout and satisfaction with resources in caring for complex patients.

PubMed

Whitebird, Robin R; Solberg, Leif I; Crain, A Lauren; Rossom, Rebecca C; Beck, Arne; Neely, Claire; Dreskin, Mark; Coleman, Karen J

To describe primary care clinicians' self-reported satisfaction, burnout and barriers for treating complex patients. We conducted a survey of 1554 primary care clinicians in 172 primary care clinics in 18 health care systems across 8 states prior to the implementation of a collaborative model of care for patients with depression and diabetes and/or cardiovascular disease. Of the clinicians who responded to the survey (n=709; 46%), we found that a substantial minority (31%) were experiencing burnout that was associated with lower career satisfaction (P<.0001) and lower satisfaction with resources to treat complex patients (P<.0001). Less than 50% of clinicians rated their ability to treat complex patients as very good to excellent with 21% rating their ability as fair to poor. The majority of clinicians (72%) thought that a collaborative model of care would be very helpful for treating complex patients. Burnout remains a problem for primary care clinicians and is associated with low job satisfaction and low satisfaction with resources to treat complex patients. A collaborative care model for patients with mental and physical health problems may provide the resources needed to improve the quality of care for these patients. Copyright © 2016 Elsevier Inc. All rights reserved.

The Effectiveness of Mindfulness-Based Cognitive Group Therapy on Marital Satisfaction and General Health in Woman With Infertility.

PubMed

Abedi Shargh, Najmeh; Bakhshani, Nour Mohammad; Mohebbi, Mohammad Davoud; Mahmudian, Khadije; Ahovan, Masood; Mokhtari, Mojgan; Gangali, Alireza

2015-08-06

Infertility affects around 80 million people around the world and it has been estimated that psychological problems in infertile couples is within the range of 25-60%. The purpose of this study was to determine the effectiveness of Mindfulness-based cognitive group therapy on consciousness regarding marital satisfaction and general health in woman with infertility. Recent work is a clinical trial with a pre/posttest plan for control group. Covering 60 women who were selected by in access method and arranged randomly in interference (30) and control (30) groups. Before and after implementation of independent variable, all subjects were measured in both groups using Enrich questionnaire and marital satisfaction questionnaire. Results of covariance analysis of posttest, after controlling the scores of pretest illustrated the meaningful difference of marital satisfaction and mental health scores in interference and control groups after treatment and the fact that MBCT treatment in infertile women revealed that this method has an appropriate contribution to improvement of marital satisfaction and mental health. Necessary trainings for infertile people through consultation services can improve their mental health and marital satisfaction and significantly help reducing infertile couples' problems.

Students' satisfaction to hybrid problem-based learning format for basic life support/advanced cardiac life support teaching.

PubMed

Chilkoti, Geetanjali; Mohta, Medha; Wadhwa, Rachna; Saxena, Ashok Kumar; Sharma, Chhavi Sarabpreet; Shankar, Neelima

2016-11-01

Students are exposed to basic life support (BLS) and advanced cardiac life support (ACLS) training in the first semester in some medical colleges. The aim of this study was to compare students' satisfaction between lecture-based traditional method and hybrid problem-based learning (PBL) in BLS/ACLS teaching to undergraduate medical students. We conducted a questionnaire-based, cross-sectional survey among 118 1 st -year medical students from a university medical college in the city of New Delhi, India. We aimed to assess the students' satisfaction between lecture-based and hybrid-PBL method in BLS/ACLS teaching. Likert 5-point scale was used to assess students' satisfaction levels between the two teaching methods. Data were collected and scores regarding the students' satisfaction levels between these two teaching methods were analysed using a two-sided paired t -test. Most students preferred hybrid-PBL format over traditional lecture-based method in the following four aspects; learning and understanding, interest and motivation, training of personal abilities and being confident and satisfied with the teaching method ( P < 0.05). Implementation of hybrid-PBL format along with the lecture-based method in BLS/ACLS teaching provided high satisfaction among undergraduate medical students.

Solving and Learning Soft Temporal Constraints: Experimental Scenario and Examples

NASA Technical Reports Server (NTRS)

Rossi, F.; Venable, K. B.; Sperduti, A.; Khatib, L.; Morris, P.; Morris, R.; Koga, Dennis (Technical Monitor)

2001-01-01

Soft temporal constraint problems allow to describe in a natural way scenarios where events happen over time and preferences are associated to event distances and durations. However, sometimes such local preferences are difficult to set, and it may be easier instead to associate preferences to some complete solutions of the problem. To model everything in a uniform way via local preferences only, and also to take advantage of the existing constraint solvers which exploit only local preference use machine learning techniques which learn the local preferences from the global ones. In this paper we describe the existing framework for both solving and learning preferences in temporal constraint problems, the implemented modules, the experimental scenario, and preliminary results on some examples.

Mental health problems of undocumented migrants (UMs) in the Netherlands: a qualitative exploration of help-seeking behaviour and experiences with primary care

PubMed Central

Teunissen, Erik; Sherally, Jamilah; van den Muijsenbergh, Maria; Dowrick, Chris; van Weel-Baumgarten, Evelyn; van Weel, Chris

2014-01-01

Objective To explore health-seeking behaviour and experiences of undocumented migrants (UMs) in general practice in relation to mental health problems. Design Qualitative study using semistructured interviews and thematic analysis. Participants 15 UMs in the Netherlands, varying in age, gender, country of origin and education; inclusion until theoretical saturation was reached. Setting 4 cities in the Netherlands. Results UMs consider mental health problems to be directly related to their precarious living conditions. For support, they refer to friends and religion first, the general practitioner (GP) is their last resort. Barriers for seeking help include taboo on mental health problems, lack of knowledge of and trust in GPs competencies regarding mental health and general barriers in accessing healthcare as an UM (lack of knowledge of the right to access healthcare, fear of prosecution, financial constraints and practical difficulties). Once access has been gained, satisfaction with care is high. This is primarily due to the attitude of the GPs and the effectiveness of the treatment. Reasons for dissatisfaction with GP care are an experienced lack of time, lack of personal attention and absence of physical examination. Expectations of the GP vary, medication for mental health problems is not necessarily seen as a good practice. Conclusions UMs often see their precarious living conditions as an important determinant of their mental health; they do not easily seek help for mental health problems and various barriers hamper access to healthcare for them. Rather than for medication, UMs are looking for encouragement and support from their GP. We recommend that barriers experienced in seeking professional care are tackled at an institutional level as well as at the level of GP. PMID:25416057

Improved Sensitivity Relations in State Constrained Optimal Control

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bettiol, Piernicola, E-mail: piernicola.bettiol@univ-brest.fr; Frankowska, Hélène, E-mail: frankowska@math.jussieu.fr; Vinter, Richard B., E-mail: r.vinter@imperial.ac.uk

2015-04-15

Sensitivity relations in optimal control provide an interpretation of the costate trajectory and the Hamiltonian, evaluated along an optimal trajectory, in terms of gradients of the value function. While sensitivity relations are a straightforward consequence of standard transversality conditions for state constraint free optimal control problems formulated in terms of control-dependent differential equations with smooth data, their verification for problems with either pathwise state constraints, nonsmooth data, or for problems where the dynamic constraint takes the form of a differential inclusion, requires careful analysis. In this paper we establish validity of both ‘full’ and ‘partial’ sensitivity relations for an adjointmore » state of the maximum principle, for optimal control problems with pathwise state constraints, where the underlying control system is described by a differential inclusion. The partial sensitivity relation interprets the costate in terms of partial Clarke subgradients of the value function with respect to the state variable, while the full sensitivity relation interprets the couple, comprising the costate and Hamiltonian, as the Clarke subgradient of the value function with respect to both time and state variables. These relations are distinct because, for nonsmooth data, the partial Clarke subdifferential does not coincide with the projection of the (full) Clarke subdifferential on the relevant coordinate space. We show for the first time (even for problems without state constraints) that a costate trajectory can be chosen to satisfy the partial and full sensitivity relations simultaneously. The partial sensitivity relation in this paper is new for state constraint problems, while the full sensitivity relation improves on earlier results in the literature (for optimal control problems formulated in terms of Lipschitz continuous multifunctions), because a less restrictive inward pointing hypothesis is invoked in the proof, and because it is validated for a stronger set of necessary conditions.« less

TLBO based Voltage Stable Environment Friendly Economic Dispatch Considering Real and Reactive Power Constraints

NASA Astrophysics Data System (ADS)

Verma, H. K.; Mafidar, P.

2013-09-01

In view of growing concern towards environment, power system engineers are forced to generate quality green energy. Hence the economic dispatch (ED) aims at the power generation to meet the load demand at minimum fuel cost with environmental and voltage constraints along with essential constraints on real and reactive power. The emission control which reduces the negative impact on environment is achieved by including the additional constraints in ED problem. Presently, the power system mostly operates near its stability limits, therefore with increased demand the system faces voltage problem. The bus voltages are brought within limit in the present work by placement of static var compensator (SVC) at weak bus which is identified from bus participation factor. The optimal size of SVC is determined by univariate search method. This paper presents the use of Teaching Learning based Optimization (TLBO) algorithm for voltage stable environment friendly ED problem with real and reactive power constraints. The computational effectiveness of TLBO is established through test results over particle swarm optimization (PSO) and Big Bang-Big Crunch (BB-BC) algorithms for the ED problem.

A systematic linear space approach to solving partially described inverse eigenvalue problems

NASA Astrophysics Data System (ADS)

Hu, Sau-Lon James; Li, Haujun

2008-06-01

Most applications of the inverse eigenvalue problem (IEP), which concerns the reconstruction of a matrix from prescribed spectral data, are associated with special classes of structured matrices. Solving the IEP requires one to satisfy both the spectral constraint and the structural constraint. If the spectral constraint consists of only one or few prescribed eigenpairs, this kind of inverse problem has been referred to as the partially described inverse eigenvalue problem (PDIEP). This paper develops an efficient, general and systematic approach to solve the PDIEP. Basically, the approach, applicable to various structured matrices, converts the PDIEP into an ordinary inverse problem that is formulated as a set of simultaneous linear equations. While solving simultaneous linear equations for model parameters, the singular value decomposition method is applied. Because of the conversion to an ordinary inverse problem, other constraints associated with the model parameters can be easily incorporated into the solution procedure. The detailed derivation and numerical examples to implement the newly developed approach to symmetric Toeplitz and quadratic pencil (including mass, damping and stiffness matrices of a linear dynamic system) PDIEPs are presented. Excellent numerical results for both kinds of problem are achieved under the situations that have either unique or infinitely many solutions.

A hybrid meta-heuristic algorithm for the vehicle routing problem with stochastic travel times considering the driver's satisfaction

NASA Astrophysics Data System (ADS)

Tavakkoli-Moghaddam, Reza; Alinaghian, Mehdi; Salamat-Bakhsh, Alireza; Norouzi, Narges

2012-05-01

A vehicle routing problem is a significant problem that has attracted great attention from researchers in recent years. The main objectives of the vehicle routing problem are to minimize the traveled distance, total traveling time, number of vehicles and cost function of transportation. Reducing these variables leads to decreasing the total cost and increasing the driver's satisfaction level. On the other hand, this satisfaction, which will decrease by increasing the service time, is considered as an important logistic problem for a company. The stochastic time dominated by a probability variable leads to variation of the service time, while it is ignored in classical routing problems. This paper investigates the problem of the increasing service time by using the stochastic time for each tour such that the total traveling time of the vehicles is limited to a specific limit based on a defined probability. Since exact solutions of the vehicle routing problem that belong to the category of NP-hard problems are not practical in a large scale, a hybrid algorithm based on simulated annealing with genetic operators was proposed to obtain an efficient solution with reasonable computational cost and time. Finally, for some small cases, the related results of the proposed algorithm were compared with results obtained by the Lingo 8 software. The obtained results indicate the efficiency of the proposed hybrid simulated annealing algorithm.

The green eyed monster in the bottle: Relationship contingent self-esteem, romantic jealousy, and alcohol-related problems.

PubMed

DiBello, Angelo M; Rodriguez, Lindsey M; Hadden, Benjamin W; Neighbors, Clayton

2015-10-01

Previous research suggests that both jealousy and relationship contingent self-esteem (RCSE) are related to alcohol use and alcohol-related problems. No work, however, has examined these two constructs together as they relate to motives for alcohol use and alcohol-related problems. The current study aims to build upon emerging literature examining different types of jealousy (i.e., emotional, cognitive, and behavioral), relationship quality (i.e., satisfaction, commitment, closeness), RCSE, and alcohol use. More specifically, the current study aimed to examine the associations between RCSE and drinking to cope and RCSE and alcohol-related problems, in the context of the different types of jealousy. Moreover, the current study aimed to assess whether the associations between RCSE, jealousy, and drinking outcomes vary as a function of relationship quality. Two hundred and seventy seven individuals (87% female) at a large southern university participated in the study. They completed measures of RCSE, relationship satisfaction, commitment, closeness, and jealousy as well as alcohol-related outcomes. Using PROCESS, moderated mediational analyses were used to evaluate different types of jealousy as mediators of the association between RCSE and drinking to cope/alcohol-related problems. Further, we aimed to examine whether relationship quality moderated the association between RCSE and jealousy in predicting alcohol-related variables. Results indicated that cognitive jealousy mediated the association between both RCSE and drinking to cope and RCSE and alcohol-related problems. Further, relationship satisfaction, commitment, and closeness were all found to moderate the association between RSCE and cognitive jealousy such that at lower, but not higher levels of satisfaction, commitment, and closeness, cognitive jealousy mediated the association between RCSE and drinking to cope and RCSE and alcohol-related problems. Copyright © 2015. Published by Elsevier Ltd.

SU-F-T-340: Direct Editing of Dose Volume Histograms: Algorithms and a Unified Convex Formulation for Treatment Planning with Dose Constraints

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ungun, B; Stanford University School of Medicine, Stanford, CA; Fu, A

2016-06-15

Purpose: To develop a procedure for including dose constraints in convex programming-based approaches to treatment planning, and to support dynamic modification of such constraints during planning. Methods: We present a mathematical approach that allows mean dose, maximum dose, minimum dose and dose volume (i.e., percentile) constraints to be appended to any convex formulation of an inverse planning problem. The first three constraint types are convex and readily incorporated. Dose volume constraints are not convex, however, so we introduce a convex restriction that is related to CVaR-based approaches previously proposed in the literature. To compensate for the conservatism of this restriction,more » we propose a new two-pass algorithm that solves the restricted problem on a first pass and uses this solution to form exact constraints on a second pass. In another variant, we introduce slack variables for each dose constraint to prevent the problem from becoming infeasible when the user specifies an incompatible set of constraints. We implement the proposed methods in Python using the convex programming package cvxpy in conjunction with the open source convex solvers SCS and ECOS. Results: We show, for several cases taken from the clinic, that our proposed method meets specified constraints (often with margin) when they are feasible. Constraints are met exactly when we use the two-pass method, and infeasible constraints are replaced with the nearest feasible constraint when slacks are used. Finally, we introduce ConRad, a Python-embedded free software package for convex radiation therapy planning. ConRad implements the methods described above and offers a simple interface for specifying prescriptions and dose constraints. Conclusion: This work demonstrates the feasibility of using modifiable dose constraints in a convex formulation, making it practical to guide the treatment planning process with interactively specified dose constraints. This work was supported by the Stanford BioX Graduate Fellowship and NIH Grant 5R01CA176553.« less

Coping mediates the influence of personality on life satisfaction in patients with rheumatic diseases.

PubMed

Vollmann, Manja; Pukrop, Jörg; Salewski, Christel

2016-04-01

A rheumatic disease can severely impair a person's quality of life. The degree of impairment, however, is not closely related to objective indicators of disease severity. This study investigated the influence and the interplay of core psychological factors, i.e., personality and coping, on life satisfaction in patients with rheumatic diseases. Particularly, it was tested whether coping mediates the effects of personality on life satisfaction. In a cross-sectional design, 158 patients diagnosed with a rheumatic disease completed questionnaires assessing the Big 5 personality traits (BFI-10), several disease-related coping strategies (EFK) and life satisfaction (HSWBS). Data were analyzed using a complex multiple mediation analysis with the Big 5 personality traits as predictors, coping strategies as mediators and life satisfaction as outcome. All personality traits and seven of the nine coping strategies were associated with life satisfaction (rs > |0.16|, ps ≤ 0.05). The mediation analysis revealed that personality traits had no direct, but rather indirect effects on life satisfaction through coping. Neuroticism had a negative indirect effect on life satisfaction through less active problem solving and more depressive coping (indirect effects > -0.03, ps < 0.05). Extraversion, agreeableness, and conscientiousness had positive indirect effects on life satisfaction through more active problem solving, less depressive coping and/or a more active search for social support (indirect effects > 0.06, ps < 0.05). Personality and coping play a role in adjustment to rheumatic diseases. The interplay of these variables should be considered in psychological interventions for patients with rheumatic diseases.

Robust Design Optimization via Failure Domain Bounding

NASA Technical Reports Server (NTRS)

Crespo, Luis G.; Kenny, Sean P.; Giesy, Daniel P.

2007-01-01

This paper extends and applies the strategies recently developed by the authors for handling constraints under uncertainty to robust design optimization. For the scope of this paper, robust optimization is a methodology aimed at problems for which some parameters are uncertain and are only known to belong to some uncertainty set. This set can be described by either a deterministic or a probabilistic model. In the methodology developed herein, optimization-based strategies are used to bound the constraint violation region using hyper-spheres and hyper-rectangles. By comparing the resulting bounding sets with any given uncertainty model, it can be determined whether the constraints are satisfied for all members of the uncertainty model (i.e., constraints are feasible) or not (i.e., constraints are infeasible). If constraints are infeasible and a probabilistic uncertainty model is available, upper bounds to the probability of constraint violation can be efficiently calculated. The tools developed enable approximating not only the set of designs that make the constraints feasible but also, when required, the set of designs for which the probability of constraint violation is below a prescribed admissible value. When constraint feasibility is possible, several design criteria can be used to shape the uncertainty model of performance metrics of interest. Worst-case, least-second-moment, and reliability-based design criteria are considered herein. Since the problem formulation is generic and the tools derived only require standard optimization algorithms for their implementation, these strategies are easily applicable to a broad range of engineering problems.

Formal verification of AI software

NASA Technical Reports Server (NTRS)

Rushby, John; Whitehurst, R. Alan

1989-01-01

The application of formal verification techniques to Artificial Intelligence (AI) software, particularly expert systems, is investigated. Constraint satisfaction and model inversion are identified as two formal specification paradigms for different classes of expert systems. A formal definition of consistency is developed, and the notion of approximate semantics is introduced. Examples are given of how these ideas can be applied in both declarative and imperative forms.

Computing Intrinsic Images.

DTIC Science & Technology

1986-08-01

most of the algorithms fail when applied to real images. (2) Usually the constraints from the geometry and the physics of the problem are not enough...large subset of real images), and so most of the algorithms fail when applied to real images. (2) Usually the constraints from the geometry and the...constraints from the geometry and the physics of the problem are not enough to guarantee uniqueness of the computed parameters. In this case, strong

Role Conflict and Reality Shock among Neophyte Navy Nurses

DTIC Science & Technology

1992-08-01

job satisfaction; (4) role ambiguity did not have a significant effect on job satisfaction. |I m ( m l m mlm m m m - ’ The main problems...ONE INTRODUCTION The new graduate nurse reports to her first job filled with dreams, aspirations, and enthusiasm for her first challenging work ... the new nurse graduate’s school-to- work transition and what problems are defined by the new graduates; 3. Determine the dissatisfies, stressors ,

Applying ant colony optimization metaheuristic to solve forest transportation planning problems with side constraints

Treesearch

Marco A. Contreras; Woodam Chung; Greg Jones

2008-01-01

Forest transportation planning problems (FTPP) have evolved from considering only the financial aspects of timber management to more holistic problems that also consider the environmental impacts of roads. These additional requirements have introduced side constraints, making FTPP larger and more complex. Mixed-integer programming (MIP) has been used to solve FTPP, but...

The relationship between satisfaction with life, ADHD symptoms, and associated problems among university students.

PubMed

Gudjonsson, Gisli H; Sigurdsson, Jon Fridrik; Eyjolfsdottir, Gudrun Agusta; Smari, Jakob; Young, Susan

2009-05-01

To ascertain whether ADHD symptoms, and associated problems, are negatively related to subjective well-being. The Satisfaction With Life Scale (SWLS) was completed by 369 university students, along with the Reasoning & Rehabilitation (R&R) ADHD Training Evaluation (RATE), the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) Scale for current ADHD symptoms, and the Depression Anxiety Stress Scales (DASS). The SWLS was negatively correlated with all the other measures, and the strongest correlations were with the Total RATE score. A multiple regression analysis showed that the variables in the study accounted for 22% and 25% of the variance of the SWLS among males and females, respectively. Among males poor social functioning was the best predictor of dissatisfaction with life, whereas among females it was poor emotional control. Both ADHD symptoms and associated problems are significantly related to poorer satisfaction with life.

Problem-based learning in laboratory medicine resident education: a satisfaction survey.

PubMed

Lepiller, Quentin; Solis, Morgane; Velay, Aurélie; Gantner, Pierre; Sueur, Charlotte; Stoll-Keller, Françoise; Barth, Heidi; Fafi-Kremer, Samira

2017-04-01

Theoretical knowledge in biology and medicine plays a substantial role in laboratory medicine resident education. In this study, we assessed the contribution of problem-based learning (PBL) to improve the training of laboratory medicine residents during their internship in the department of virology, Strasbourg University Hospital, France. We compared the residents' satisfaction regarding an educational program based on PBL and a program based on lectures and presentations. PBL induced a high level of satisfaction (100%) among residents compared to lectures and presentations (53%). The main advantages of this technique were to create a situational interest regarding virological problems, to boost the residents' motivation and to help them identify the most relevant learning objectives in virology. However, it appears pertinent to educate the residents in appropriate bibliographic research techniques prior to PBL use and to monitor their learning by regular formative assessment sessions.

The assessment of recalled parental rearing behavior and its relationship to life satisfaction and interpersonal problems: a general population study

PubMed Central

2009-01-01

Background Parental rearing behavior is a significant etiological factor for the vulnerability of psychopathology and has been an issue of clinical research for a long time. For this scope instruments are important who asses economically recalled parental rearing behavior in a clinical practice. Therefore, a short German instrument for the assessment of the recalled parental rearing behavior Fragebogen zum erinnerten elterlichen Erziehungsverhalten (FEE) was psychometrically evaluated [Recalled Parental Rearing Behavior]. Methods This questionnaire was evaluated in a representative population sample (N = 2.948) in Germany which included 44.2% male and 55.8% female persons with a mean age of M = 47.35 (SD = 17.10, range = 18–92). For the content evaluation of the FEE the Life Satisfaction Questionnaire (FLZ) and the Inventory of Interpersonal Problems (IIP) was filled out by the participants. Results The FEE scales yielded a good to satisfactory internal consistency and split-half reliability. Its three factors (rejection/punishment, emotional warmth, control/overprotection) correlated positively with most of the areas of life satisfaction. Furthermore, positive associations between interpersonal problems and parental rejection and control could be identified. Conclusion The FEE is a short, reliable and valid instrument that can be applied in the clinical practice. In addition, the data proved an association between recalled parental rearing behavior, life satisfaction and interpersonal problems conform to the literature. Finally, specific problems with the retrospective assessment of parental rearing behavior were addressed as well. PMID:19267894

Marriage work in older couples: Disclosure of marital problems to spouses and friends over time.

PubMed

Jensen, Jakob F; Rauer, Amy J

2015-10-01

This study examined the frequency and impact of "marriage work" (MW), or the act of discussing marital problems with spouses and friends, among a sample of older married couples (N = 64). Using actor-partner interdependence models, we examined how turning to one's spouse and one's friend was linked to changes in both spouses' marital satisfaction and conflict 1 year later. We also investigated whether satisfaction and conflict predicted change in MW for older spouses. Both wives and husbands engaged in more MW with spouses than with friends, and only husbands' MW with spouses decreased over time. Wives' MW with spouses was associated with decreased marital satisfaction for husbands, whereas husbands' MW with spouses was linked with increased satisfaction for husbands. Furthermore, wives' MW with spouses predicted increases in wives' marital conflict over time. When examining effects in the opposite direction, wives' marital satisfaction predicted decreases in wives' MW with spouse. Husbands' satisfaction was linked with increases in wives' MW with spouses, increases in wives' MW with friends, and decreases in husbands' MW with friends. Finally, husbands' conflict predicted increases in husbands' MW with friends. Findings suggest that openly engaging in discussions of marital problems may not be as uniformly helpful for aging couples as it is for their younger counterparts. Given that many older adults tend to actively avoid conflictual interactions in an attempt to maximize emotional rewards, researchers and clinicians should note that traditional approaches to working through romantic conflict may not be ideal for aging couples. (c) 2015 APA, all rights reserved).

Educational Leadership and Job Satisfaction of Teachers: A Meta-Analysis Study on the Studies Published between 2000 and 2016 in Turkey

ERIC Educational Resources Information Center

Cogaltay, Nazim; Yalcin, Mikail; Karadag, Engin

2016-01-01

Problem Statement: The number of studies on the effect of educational leadership on several organizational outputs is increasing. The most popular topic to review within the framework of leadership is job satisfaction. In several studies, a positive correlation was found between leadership and job satisfaction. According to the two-factor theory…

Patient satisfaction 8-14 years after dental implant therapy - a questionnaire study.

PubMed

Adler, Lottie; Liedholm, Eva; Silvegren, Malin; Modin, Carolina; Buhlin, Kåre; Jansson, Leif

2016-07-01

The aim of this questionnaire study was to investigate patient satisfaction 8-14 years after dental implant therapy and complications influencing the degree of satisfaction. A questionnaire was sent by post to 587 patients at a specialist clinic of periodontology. The questionnaire consisted of 19 statements or questions such as the degree of satisfaction with the implants and knowledge of complications. In nine of the questions, respondents were asked to grade the extent of their agreement with a statement by selecting from fixed answers. Three of the questions were designed to be answered using a visual analog scale. In total, 400 individuals (81%) responded to the questionnaire. The mean time elapsed since implant installation was 10 years. A great majority (81%) experienced a high chewing comfort and was satisfied or sufficiently satisfied (94%) with the aesthetic aspects of their implant restorations, while 32% of the individuals had experienced problems with their implant reconstructions. The disadvantage that patients remarked on was the cost of the treatment. Those who had experienced problems with their implant reconstructions were also less satisfied with the treatment. A great majority of the patients expressed a high degree of satisfaction with their dental implants 8-14 years after the treatment. Patients were less satisfied if they had experience of problems with their implant reconstructions and in cases when the clinicians were unable to resolve their complications.

Goal formulation and tracking in child mental health settings: when is it more likely and is it associated with satisfaction with care?

PubMed

Jacob, Jenna; De Francesco, Davide; Deighton, Jessica; Law, Duncan; Wolpert, Miranda; Edbrooke-Childs, Julian

2017-07-01

Goal formulation and tracking may support preference-based care. Little is known about the likelihood of goal formulation and tracking and associations with care satisfaction. Logistic and Poisson stepwise regressions were performed on clinical data for N = 3757 children from 32 services in the UK (M age  = 11; SD age  = 3.75; most common clinician-reported presenting problem was emotional problems = 55.6%). Regarding the likelihood of goal formulation, it was more likely for pre-schoolers, those with learning difficulties or those with both hyperactivity disorder and conduct disorder. Regarding the association between goal formulation and tracking and satisfaction with care, parents of children with goals information were more likely to report complete satisfaction by scoring at the maximum of the scale. Findings of the present research suggest that goal formulation and tracking may be an important part of patient satisfaction with care. Clinicians should be encouraged to consider goal formulation and tracking when it is clinically meaningful as a means of promoting collaborative practice.

Multi-Constraint Multi-Variable Optimization of Source-Driven Nuclear Systems

NASA Astrophysics Data System (ADS)

Watkins, Edward Francis

1995-01-01

A novel approach to the search for optimal designs of source-driven nuclear systems is investigated. Such systems include radiation shields, fusion reactor blankets and various neutron spectrum-shaping assemblies. The novel approach involves the replacement of the steepest-descents optimization algorithm incorporated in the code SWAN by a significantly more general and efficient sequential quadratic programming optimization algorithm provided by the code NPSOL. The resulting SWAN/NPSOL code system can be applied to more general, multi-variable, multi-constraint shield optimization problems. The constraints it accounts for may include simple bounds on variables, linear constraints, and smooth nonlinear constraints. It may also be applied to unconstrained, bound-constrained and linearly constrained optimization. The shield optimization capabilities of the SWAN/NPSOL code system is tested and verified in a variety of optimization problems: dose minimization at constant cost, cost minimization at constant dose, and multiple-nonlinear constraint optimization. The replacement of the optimization part of SWAN with NPSOL is found feasible and leads to a very substantial improvement in the complexity of optimization problems which can be efficiently handled.

Potential problems relative to TDRS/IUS tilt table elevation with failed VRCS

NASA Technical Reports Server (NTRS)

Bell, J.

1980-01-01

Operational concerns and preliminary solution alternatives related to elevating the inertial upper stage/tracking and data relay satellite (IUS/TDRS) with a failed orbiter vernier reaction control system (VRCS) are presented. Problems arise from the combination of TDRS thermal constraints and tilt table constraints (the primary reaction control system (PRCS) cannot be used to hold attitude while the tilt table is being elevated), and the problems are compounded by the minimum PRCS attitude deadband. The potential solution options are affected by the launch window, flight profile, crew procedures, vehicle capability and constraints, and flight rules.

Temporal Constraint Reasoning With Preferences

NASA Technical Reports Server (NTRS)

Khatib, Lina; Morris, Paul; Morris, Robert; Rossi, Francesca

2001-01-01

A number of reasoning problems involving the manipulation of temporal information can naturally be viewed as implicitly inducing an ordering of potential local decisions involving time (specifically, associated with durations or orderings of events) on the basis of preferences. For example. a pair of events might be constrained to occur in a certain order, and, in addition. it might be preferable that the delay between them be as large, or as small, as possible. This paper explores problems in which a set of temporal constraints is specified, where each constraint is associated with preference criteria for making local decisions about the events involved in the constraint, and a reasoner must infer a complete solution to the problem such that, to the extent possible, these local preferences are met in the best way. A constraint framework for reasoning about time is generalized to allow for preferences over event distances and durations, and we study the complexity of solving problems in the resulting formalism. It is shown that while in general such problems are NP-hard, some restrictions on the shape of the preference functions, and on the structure of the preference set, can be enforced to achieve tractability. In these cases, a simple generalization of a single-source shortest path algorithm can be used to compute a globally preferred solution in polynomial time.

Automatic scheduling of outages of nuclear power plants with time windows. Final report, January-December 1995

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gomes, C.

This report describes a successful project for transference of advanced AI technology into the domain of planning of outages of nuclear power plants as part of DOD`s dual-use program. ROMAN (Rome Lab Outage Manager) is the prototype system that was developed as a result of this project. ROMAN`s main innovation compared to the current state-of-the-art of outage management tools is its capability to automatically enforce safety constraints during the planning and scheduling phase. Another innovative aspect of ROMAN is the generation of more robust schedules that are feasible over time windows. In other words, ROMAN generates a family of schedulesmore » by assigning time intervals as start times to activities rather than single start times, without affecting the overall duration of the project. ROMAN uses a constraint satisfaction paradigm combining a global search tactic with constraint propagation. The derivation of very specialized representations for the constraints to perform efficient propagation is a key aspect for the generation of very fast schedules - constraints are compiled into the code, which is a novel aspect of our work using an automatic programming system, KIDS.« less

The 'big dip': decrements in RN satisfaction at mid-career.

PubMed

Coshow, Suzanne M; Davis, Paul; Wolosin, Robert J

2009-01-01

In response to nurse turnover, hospitals have taken steps to ensure that their nurses are satisfied with their jobs. On-boarding may not be the most pressing retention issue facing health care organizations as the loss of mid-career nurses may be the larger problem. There are some areas of work satisfaction for nurses which may be more responsive to organizational efforts to reach higher aggregate levels of satisfaction. Health care organizations may due well to focus on the relative satisfaction of their mid-career nurses. Opportunities to increase nurse job satisfaction across different facets of work may be an effective strategy to address retention.

A Kind of Nonlinear Programming Problem Based on Mixed Fuzzy Relation Equations Constraints

NASA Astrophysics Data System (ADS)

Li, Jinquan; Feng, Shuang; Mi, Honghai

In this work, a kind of nonlinear programming problem with non-differential objective function and under the constraints expressed by a system of mixed fuzzy relation equations is investigated. First, some properties of this kind of optimization problem are obtained. Then, a polynomial-time algorithm for this kind of optimization problem is proposed based on these properties. Furthermore, we show that this algorithm is optimal for the considered optimization problem in this paper. Finally, numerical examples are provided to illustrate our algorithms.

Implication of adaptive smoothness constraint and Helmert variance component estimation in seismic slip inversion

NASA Astrophysics Data System (ADS)

Fan, Qingbiao; Xu, Caijun; Yi, Lei; Liu, Yang; Wen, Yangmao; Yin, Zhi

2017-10-01

When ill-posed problems are inverted, the regularization process is equivalent to adding constraint equations or prior information from a Bayesian perspective. The veracity of the constraints (or the regularization matrix R) significantly affects the solution, and a smoothness constraint is usually added in seismic slip inversions. In this paper, an adaptive smoothness constraint (ASC) based on the classic Laplacian smoothness constraint (LSC) is proposed. The ASC not only improves the smoothness constraint, but also helps constrain the slip direction. A series of experiments are conducted in which different magnitudes of noise are imposed and different densities of observation are assumed, and the results indicated that the ASC was superior to the LSC. Using the proposed ASC, the Helmert variance component estimation method is highlighted as the best for selecting the regularization parameter compared with other methods, such as generalized cross-validation or the mean squared error criterion method. The ASC may also benefit other ill-posed problems in which a smoothness constraint is required.

Human resources: the Cinderella of health sector reform in Latin America

PubMed Central

Homedes, Núria; Ugalde, Antonio

2005-01-01

Human resources are the most important assets of any health system, and health workforce problems have for decades limited the efficiency and quality of Latin America health systems. World Bank-led reforms aimed at increasing equity, efficiency, quality of care and user satisfaction did not attempt to resolve the human resources problems that had been identified in multiple health sector assessments. However, the two most important reform policies – decentralization and privatization – have had a negative impact on the conditions of employment and prompted opposition from organized professionals and unions. In several countries of the region, the workforce became the most important obstacle to successful reform. This article is based on fieldwork and a review of the literature. It discusses the reasons that led health workers to oppose reform; the institutional and legal constraints to implementing reform as originally designed; the mismatch between the types of personnel needed for reform and the availability of professionals; the deficiencies of the reform implementation process; and the regulatory weaknesses of the region. The discussion presents workforce strategies that the reforms could have included to achieve the intended goals, and the need to take into account the values and political realities of the countries. The authors suggest that autochthonous solutions are more likely to succeed than solutions imported from the outside. PMID:15659241

Portfolios with nonlinear constraints and spin glasses

NASA Astrophysics Data System (ADS)

Gábor, Adrienn; Kondor, I.

1999-12-01

In a recent paper Galluccio, Bouchaud and Potters demonstrated that a certain portfolio problem with a nonlinear constraint maps exactly onto finding the ground states of a long-range spin glass, with the concomitant nonuniqueness and instability of the optimal portfolios. Here we put forward geometric arguments that lead to qualitatively similar conclusions, without recourse to the methods of spin glass theory, and give two more examples of portfolio problems with convex nonlinear constraints.

Multi-model predictive control based on LMI: from the adaptation of the state-space model to the analytic description of the control law

NASA Astrophysics Data System (ADS)

Falugi, P.; Olaru, S.; Dumur, D.

2010-08-01

This article proposes an explicit robust predictive control solution based on linear matrix inequalities (LMIs). The considered predictive control strategy uses different local descriptions of the system dynamics and uncertainties and thus allows the handling of less conservative input constraints. The computed control law guarantees constraint satisfaction and asymptotic stability. The technique is effective for a class of nonlinear systems embedded into polytopic models. A detailed discussion of the procedures which adapt the partition of the state space is presented. For the practical implementation the construction of suitable (explicit) descriptions of the control law are described upon concrete algorithms.

Trajectory Design Enhancements to Mitigate Risk for the Transiting Exoplanet Survey Satellite (TESS)

NASA Technical Reports Server (NTRS)

Dichmann, Donald; Parker, Joel; Nickel, Craig; Lutz, Stephen

2016-01-01

The Transiting Exoplanet Survey Satellite (TESS) will employ a highly eccentric Earth orbit, in 2:1 lunar resonance, which will be reached with a lunar flyby preceded by 3.5 phasing loops. The TESS mission has limited propellant and several constraints on the science orbit and on the phasing loops. Based on analysis and simulation, we have designed the phasing loops to reduce delta-V (DV) and to mitigate risk due to maneuver execution errors. We have automated the trajectory design process and use distributed processing to generate and optimal nominal trajectories; to check constraint satisfaction; and finally to model the effects of maneuver errors to identify trajectories that best meet the mission requirements.

[Ebola crisis in Guinea: psychosocial support for patients and caregivers].

PubMed

Benifei, Sarah; Facon-Delahaye, Aline; Vautier, Virginie

2016-02-01

The experience of the French military health service in the fight against the Ebola epidemic in Guinea, highlights the importance of what favours the emergence of an institutional life in a context of care faced with numerous constraints and extraordinary challenges. The meticulous drawing up of procedures and the juxtaposition of expertise goes hand in hand with the construction of a triangular care system (caregivers-patients-families). This relational approach ensures each player in this system is able to find their place and a balance between constraints and satisfactions, losses and successes, isolation and support. This balance seems to favour individual and group resilience. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Calculation of Pareto-optimal solutions to multiple-objective problems using threshold-of-acceptability constraints

NASA Technical Reports Server (NTRS)

Giesy, D. P.

1978-01-01

A technique is presented for the calculation of Pareto-optimal solutions to a multiple-objective constrained optimization problem by solving a series of single-objective problems. Threshold-of-acceptability constraints are placed on the objective functions at each stage to both limit the area of search and to mathematically guarantee convergence to a Pareto optimum.

The analytic solution of the firm's cost-minimization problem with box constraints and the Cobb-Douglas model

NASA Astrophysics Data System (ADS)

Bayón, L.; Grau, J. M.; Ruiz, M. M.; Suárez, P. M.

2012-12-01

One of the most well-known problems in the field of Microeconomics is the Firm's Cost-Minimization Problem. In this paper we establish the analytical expression for the cost function using the Cobb-Douglas model and considering maximum constraints for the inputs. Moreover we prove that it belongs to the class C1.

Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems

NASA Astrophysics Data System (ADS)

Handoko, Stephanus Daniel; Kwoh, Chee Keong; Ong, Yew Soon

Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps to alleviate the needs for expensive fitness function evaluations by performing local refinements on the approximated landscape. Classifications can alternatively be used to assist MA on the choice of individuals that would experience refinements. Support-vector-assisted MA were recently proposed to alleviate needs for function evaluations in the inequality-constrained optimization problems by distinguishing regions of feasible solutions from those of the infeasible ones based on some past solutions such that search efforts can be focussed on some potential regions only. For problems having equality constraints, however, the feasible space would obviously be extremely small. It is thus extremely difficult for the global search component of the MA to produce feasible solutions. Hence, the classification of feasible and infeasible space would become ineffective. In this paper, a novel strategy to overcome such limitation is proposed, particularly for problems having one and only one equality constraint. The raw constraint value of an individual, instead of its feasibility class, is utilized in this work.

Reentry trajectory optimization with waypoint and no-fly zone constraints using multiphase convex programming

NASA Astrophysics Data System (ADS)

Zhao, Dang-Jun; Song, Zheng-Yu

2017-08-01

This study proposes a multiphase convex programming approach for rapid reentry trajectory generation that satisfies path, waypoint and no-fly zone (NFZ) constraints on Common Aerial Vehicles (CAVs). Because the time when the vehicle reaches the waypoint is unknown, the trajectory of the vehicle is divided into several phases according to the prescribed waypoints, rendering a multiphase optimization problem with free final time. Due to the requirement of rapidity, the minimum flight time of each phase index is preferred over other indices in this research. The sequential linearization is used to approximate the nonlinear dynamics of the vehicle as well as the nonlinear concave path constraints on the heat rate, dynamic pressure, and normal load; meanwhile, the convexification techniques are proposed to relax the concave constraints on control variables. Next, the original multiphase optimization problem is reformulated as a standard second-order convex programming problem. Theoretical analysis is conducted to show that the original problem and the converted problem have the same solution. Numerical results are presented to demonstrate that the proposed approach is efficient and effective.

A theory of planned behaviour-based analysis of TIMSS 2011 to determine factors influencing inquiry teaching practices in high-performing countries

NASA Astrophysics Data System (ADS)

Pongsophon, Pongprapan; Herman, Benjamin C.

2017-07-01

Given the abundance of literature describing the strong relationship between inquiry-based teaching and student achievement, more should be known about the factors impacting science teachers' classroom inquiry implementation. This study utilises the theory of planned behaviour to propose and validate a causal model of inquiry-based teaching through analysing data relating to high-performing countries retrieved from the 2011 Trends in International Mathematics and Science Study assessments. Data analysis was completed through structural equation modelling using a polychoric correlation matrix for data input and diagonally weighted least squares estimation. Adequate fit of the full model to the empirical data was realised. The model demonstrates that the extent the teachers participated in academic collaborations was positively related to their occupational satisfaction, confidence in teaching inquiry, and classroom inquiry practices. Furthermore, the teachers' confidence with implementing inquiry was positively related to their classroom inquiry implementation and occupational satisfaction. However, perceived student-generated constraints demonstrated a negative relationship with the teachers' confidence with implementing inquiry and occupational satisfaction. Implications from this study include supporting teachers through promoting collaborative opportunities that facilitate inquiry-based practices and occupational satisfaction.

Engagement, empowerment, and job satisfaction before implementing an academic model of shared governance.

PubMed

Owen, D C; Boswell, C; Opton, L; Franco, L; Meriwether, C

2018-06-01

Baseline information was obtained from a School of Nursing faculty and staff about perceptions of job satisfaction, empowerment, and engagement in the workplace before the introduction of an integrated faculty and staff shared governance system. Governance structure in schools of nursing has the potential to enhance or impose constraints on the work environment for faculty, staff, and stakeholders. RESULTS: Faculty and staff perceptions of job satisfaction and engagement in the workplace before the introduction of a new model of shared governance are presented. Statistical differences were found between faculty and staff responses on the overall or total scales and select subscales, and group patterns of relationships differed. We provided a description of the first shared governance structure derived from the perspective of shared governance as defined and operationalized in Magnet Hospital health care systems and includes administrators, faculty, and staff in decision-making councils. As academia embarks on this change in governance structure from hierarchical to a more flattened approach findings support examining levels of work engagement, structural and psychological empowerment, and job satisfaction as key monitors of the work environment. Copyright © 2018 Elsevier Inc. All rights reserved.

Effects of work participation, intergenerational transfers and savings on life satisfaction of older Malaysians.

PubMed

Ng, Sor-Tho; Hamid, Tengku-Aizan

2013-12-01

To examine the effects of work participation, intergenerational transfers and savings on the life satisfaction of older community-dwelling Malaysians. Data from the 1999 Survey on Perceptions of Needs and Problems of the Elderly on people aged 60 and over were used. The life satisfaction score was constructed from 10 questions adopted from the Life Satisfaction Inventory-A by Neugarten, Havighurst and Tobin. Multiple regression analysis was used to estimate the expected level of life satisfaction. Controlling for other variables in the model, respondents who provided assistance to and received assistance from children with savings had significantly higher life satisfaction than their counterparts, while work participation did not have any significant effect on life satisfaction. Intergenerational transfers and savings are important predictors of life satisfaction. The interdependence between generations should remain and savings habits need to be cultivated to ensure a higher life satisfaction in old age. © 2012 The Authors. Australasian Journal on Ageing © 2012 ACOTA.

Rotational-path decomposition based recursive planning for spacecraft attitude reorientation

NASA Astrophysics Data System (ADS)

Xu, Rui; Wang, Hui; Xu, Wenming; Cui, Pingyuan; Zhu, Shengying

2018-02-01

The spacecraft reorientation is a common task in many space missions. With multiple pointing constraints, it is greatly difficult to solve the constrained spacecraft reorientation planning problem. To deal with this problem, an efficient rotational-path decomposition based recursive planning (RDRP) method is proposed in this paper. The uniform pointing-constraint-ignored attitude rotation planning process is designed to solve all rotations without considering pointing constraints. Then the whole path is checked node by node. If any pointing constraint is violated, the nearest critical increment approach will be used to generate feasible alternative nodes in the process of rotational-path decomposition. As the planning path of each subdivision may still violate pointing constraints, multiple decomposition is needed and the reorientation planning is designed as a recursive manner. Simulation results demonstrate the effectiveness of the proposed method. The proposed method has been successfully applied in two SPARK microsatellites to solve onboard constrained attitude reorientation planning problem, which were developed by the Shanghai Engineering Center for Microsatellites and launched on 22 December 2016.

Does caregiver well-being predict stroke survivor depressive symptoms? A mediation analysis.

PubMed

Grant, Joan S; Clay, Olivio J; Keltner, Norman L; Haley, William E; Wadley, Virginia G; Perkins, Martinique M; Roth, David L

2013-01-01

Studies suggest that family caregiver well-being (ie, depressive symptoms and life satisfaction) may affect stroke survivor depressive symptoms. We used mediation analysis to assess whether caregiver well-being might be a factor explaining stroke survivor depressive symptoms, after controlling for demographic factors and stroke survivor impairments and problems. Caregiver/stroke participant dyads (N = 146) completed measures of stroke survivor impairments and problems and depressive symptoms and caregiver depressive symptoms and life satisfaction. Mediation analysis was used to examine whether caregiver well-being mediated the relationship between stroke survivor impairments and problems and stroke survivor depressive symptoms. As expected, more stroke survivor problems and impairments were associated with higher levels of stroke survivor depressive symptoms (P < .0001). After controlling for demographic factors, we found that this relationship was partially mediated by caregiver life satisfaction (29.29%) and caregiver depressive symptoms (32.95%). Although these measures combined to account for 40.50% of the relationship between survivor problems and impairments and depressive symptoms, the direct effect remained significant. Findings indicate that stroke survivor impairments and problems may affect family caregivers and stroke survivors and a high level of caregiver distress may result in poorer outcomes for stroke survivors. Results highlight the likely importance of intervening with both stroke survivors and family caregivers to optimize recovery after stroke.

Reliability Assessment of a Robust Design Under Uncertainty for a 3-D Flexible Wing

NASA Technical Reports Server (NTRS)

Gumbert, Clyde R.; Hou, Gene J. -W.; Newman, Perry A.

2003-01-01

The paper presents reliability assessment results for the robust designs under uncertainty of a 3-D flexible wing previously reported by the authors. Reliability assessments (additional optimization problems) of the active constraints at the various probabilistic robust design points are obtained and compared with the constraint values or target constraint probabilities specified in the robust design. In addition, reliability-based sensitivity derivatives with respect to design variable mean values are also obtained and shown to agree with finite difference values. These derivatives allow one to perform reliability based design without having to obtain second-order sensitivity derivatives. However, an inner-loop optimization problem must be solved for each active constraint to find the most probable point on that constraint failure surface.

On the Miller-Tucker-Zemlin Based Formulations for the Distance Constrained Vehicle Routing Problems

NASA Astrophysics Data System (ADS)

Kara, Imdat

2010-11-01

Vehicle Routing Problem (VRP), is an extension of the well known Traveling Salesman Problem (TSP) and has many practical applications in the fields of distribution and logistics. When the VRP consists of distance based constraints it is called Distance Constrained Vehicle Routing Problem (DVRP). However, the literature addressing on the DVRP is scarce. In this paper, existing two-indexed integer programming formulations, having Miller-Tucker-Zemlin based subtour elimination constraints, are reviewed. Existing formulations are simplified and obtained formulation is presented as formulation F1. It is shown that, the distance bounding constraints of the formulation F1, may not generate the distance traveled up to the related node. To do this, we redefine the auxiliary variables of the formulation and propose second formulation F2 with new and easy to use distance bounding constraints. Adaptation of the second formulation to the cases where new restrictions such as minimal distance traveled by each vehicle or other objectives such as minimizing the longest distance traveled is discussed.

Distribution Planning: An Integration of Constraint Satisfaction & Heuristic Search Techniques

DTIC Science & Technology

1990-01-01

Proceedings of the Symposium on Aritificial Intelligence in ~~litary Logistics, Arlington, VA: American Defense Preparedness Assoc. pp. 177-182...dynamic changes, too many variables, and lack pf planning time. The Human Engineeri n ~ Laboratory (HEL) is developing artificial intelligence (AI...first attempt. The field of artificial intelligence includes a variety of knowledge-based approaches. Most widely known are Expert Systems, that are

Comparison of student self-debriefing versus instructor debriefing in nursing simulation: A quasi-experimental study.

PubMed

Kang, Kyungja; Yu, Mi

2018-06-01

Student self-debriefing promotes self-confidence, helps to increase clinical performance, and is a more cost-effective method than is traditional instructor-led debriefing in simulation-based learning. This study compared the effectiveness of debriefing-in terms of the problem-solving process, team effectiveness, debriefing assessment, and debriefing satisfaction-between an experimental group who received both student self-debriefing (SSD) and instructor debriefing (ID) and a control group who received only instructor debriefing. This quasi-experimental study used a pretest-posttest non-equivalent control group design. Two universities in South Korea. A convenience sample of 123 senior nursing students. The data were collected between 15 April and 9 June 2016. Differences in the problem-solving process, team effectiveness, debriefing assessment, and debriefing satisfaction between the SSD + ID group and the ID-only group were measured. The SSD + ID group showed significant improvements in the problem-solving process (t = 4.32, p < .001) and debriefing satisfaction (t = 3.19, p = .002), but not in debriefing assessment (t = 1.67, p = .097) or team effectiveness (t = 1.84, p = .069) compared to ID-only group. Specifically, as the number of student sessions increased, we observed significant differences in problem-solving ability (F = 9.44, p < .001), debriefing satisfaction (F = 7.78, p < .001), and the subdomains of debriefing assessment: 'maintains an engaging environment' (F = 3.78, p = .025), 'structures the debriefing in an organized way' (F = 4.27, p = .016), and 'helps trainees achieve or sustain future performance' (F = 3.17, p = .045). Our results can be used to develop guidelines for effective debriefing following simulation in nursing education. Specifically, combining SSD and ID in simulation debriefing and increasing the number of SSD sessions could help improve the problem-solving process and debriefing satisfaction among nursing students. Copyright © 2018 Elsevier Ltd. All rights reserved.

The artificial-free technique along the objective direction for the simplex algorithm

NASA Astrophysics Data System (ADS)

Boonperm, Aua-aree; Sinapiromsaran, Krung

2014-03-01

The simplex algorithm is a popular algorithm for solving linear programming problems. If the origin point satisfies all constraints then the simplex can be started. Otherwise, artificial variables will be introduced to start the simplex algorithm. If we can start the simplex algorithm without using artificial variables then the simplex iterate will require less time. In this paper, we present the artificial-free technique for the simplex algorithm by mapping the problem into the objective plane and splitting constraints into three groups. In the objective plane, one of variables which has a nonzero coefficient of the objective function is fixed in terms of another variable. Then it can split constraints into three groups: the positive coefficient group, the negative coefficient group and the zero coefficient group. Along the objective direction, some constraints from the positive coefficient group will form the optimal solution. If the positive coefficient group is nonempty, the algorithm starts with relaxing constraints from the negative coefficient group and the zero coefficient group. We guarantee the feasible region obtained from the positive coefficient group to be nonempty. The transformed problem is solved using the simplex algorithm. Additional constraints from the negative coefficient group and the zero coefficient group will be added to the solved problem and use the dual simplex method to determine the new optimal solution. An example shows the effectiveness of our algorithm.

Nurses' satisfaction with shiftwork and associations with work, home and health characteristics: a survey in the Netherlands.

PubMed

Peters, Velibor P J M; de Rijk, Angelique E; Boumans, Nicolle P G

2009-12-01

This paper is a report of a study conducted to determine if satisfaction with irregular working hours that are a form of shiftwork operates as a mediator between work and home characteristics and health problems. Shiftwork contributes to health problems, decreased well-being and poorer health habits. It also affects employees' decisions to leave the healthcare sector. Although many nurses voluntarily work shifts, there have been few studies of their satisfaction with irregular working hours when these are a form of shiftwork. A survey was carried out with 144 nurses working in three nursing homes and one care home in the Netherlands. Questionnaires were distributed in 2003 to 233 nurses who worked shifts (response rate 60%). The questionnaire contained items on work and home characteristics, satisfaction with irregular working hours that are a form of shiftwork and health. A new scale to measure satisfaction with irregular working hours was constructed. All work characteristics, but no home characteristics, were associated with satisfaction with irregular working hours. The work characteristics 'job demands' and the home characteristics 'autonomy at home' and 'home demands' were associated with health. Satisfaction with irregular working hours did not mediate between work/home characteristics and health. Those reporting more social support, lower job demands and more job autonomy were more satisfied with their irregular working times that were a form of shiftwork. Satisfaction with irregular working hours is a useful construct that requires further longitudinal study. The results also underline the importance of considering home characteristics when predicting health outcomes.

Hartree-Fock theory of the inhomogeneous electron gas at a jellium metal surface: Rigorous upper bounds to the surface energy and accurate work functions

NASA Astrophysics Data System (ADS)

Sahni, V.; Ma, C. Q.

1980-12-01

The inhomogeneous electron gas at a jellium metal surface is studied in the Hartree-Fock approximation by Kohn-Sham density functional theory. Rigorous upper bounds to the surface energy are derived by application of the Rayleigh-Ritz variational principle for the energy, the surface kinetic, electrostatic, and nonlocal exchange energy functionals being determined exactly for the accurate linear-potential model electronic wave functions. The densities obtained by the energy minimization constraint are then employed to determine work-function results via the variationally accurate "displaced-profile change-in-self-consistent-field" expression. The theoretical basis of this non-self-consistent procedure and its demonstrated accuracy for the fully correlated system (as treated within the local-density approximation for exchange and correlation) leads us to conclude these results for the surface energies and work functions to be essentially exact. Work-function values are also determined by the Koopmans'-theorem expression, both for these densities as well as for those obtained by satisfaction of the constraint set on the electrostatic potential by the Budd-Vannimenus theorem. The use of the Hartree-Fock results in the accurate estimation of correlation-effect contributions to these surface properties of the nonuniform electron gas is also indicated. In addition, the original work and approximations made by Bardeen in this attempt at a solution of the Hartree-Fock problem are briefly reviewed in order to contrast with the present work.

Fuzzy Multi-Objective Transportation Planning with Modified S-Curve Membership Function

NASA Astrophysics Data System (ADS)

Peidro, D.; Vasant, P.

2009-08-01

In this paper, the S-Curve membership function methodology is used in a transportation planning decision (TPD) problem. An interactive method for solving multi-objective TPD problems with fuzzy goals, available supply and forecast demand is developed. The proposed method attempts simultaneously to minimize the total production and transportation costs and the total delivery time with reference to budget constraints and available supply, machine capacities at each source, as well as forecast demand and warehouse space constraints at each destination. We compare in an industrial case the performance of S-curve membership functions, representing uncertainty goals and constraints in TPD problems, with linear membership functions.

Walking the Filament of Feasibility: Global Optimization of Highly-Constrained, Multi-Modal Interplanetary Trajectories Using a Novel Stochastic Search Technique

NASA Technical Reports Server (NTRS)

Englander, Arnold C.; Englander, Jacob A.

2017-01-01

Interplanetary trajectory optimization problems are highly complex and are characterized by a large number of decision variables and equality and inequality constraints as well as many locally optimal solutions. Stochastic global search techniques, coupled with a large-scale NLP solver, have been shown to solve such problems but are inadequately robust when the problem constraints become very complex. In this work, we present a novel search algorithm that takes advantage of the fact that equality constraints effectively collapse the solution space to lower dimensionality. This new approach walks the filament'' of feasibility to efficiently find the global optimal solution.

Satisfaction with hearing aids: a consumer research perspective.

PubMed

Wong, Lena L N; Hickson, Louise; McPherson, Bradley

2009-01-01

This research aimed at describing satisfaction with hearing aids from the perspective of the client as a consumer. A disconfirmation-expectancy model, derived from consumer research, was evaluated. This model posits that pre-fitting expectations, post-fitting performance, and the experience of how performance compares to expectations (disconfirmation), contribute to satisfaction. Positive disconfirmation occurs when performance is better than original expectations and is associated with higher satisfaction. Negative disconfirmation is when performance is poorer than expectations and is associated with dissatisfaction. New hearing aid users in Hong Kong (N=42) were tested with a newly developed self-report measure (PHACS: profile of hearing aid consumer satisfaction) that included items focused on hearing ability, problems, cost, and service. Pre-fitting expectations and post-fitting performance, disconfirmation, and satisfaction were measured. Results showed that expectations were generally not related to satisfaction, that disconfirmation was correlated with many aspects of satisfaction, and that performance was most strongly related to satisfaction. The implications of the findings are that hearing aid performance is the most important element for determining satisfaction; however disconfirmation should not be overlooked.

Life Satisfaction Among Mothers of Individuals with Prader-Willi Syndrome.

PubMed

Shivers, Carolyn M; Leonczyk, Caroline L; Dykens, Elisabeth M

2016-06-01

Mothers of individuals with Prader-Willi syndrome (PWS) often experience numerous stressors, even when compared to mothers of children with other intellectual and developmental disabilities. Despite this, these mothers show great variability in self-reported life satisfaction. Using data from a longitudinal study of individuals with PWS and their families, the present study analyzed factors related to maternal life satisfaction, both cross-sectionally and over time. Results show that both child factors (e.g., behavior problems, hyperphagia) and maternal factors (e.g., stress, coping style) were significantly related to maternal life satisfaction. However, none of the tested variables predicted change in life satisfaction over time. Research and practice implications are discussed.

An efficient method for generalized linear multiplicative programming problem with multiplicative constraints.

PubMed

Zhao, Yingfeng; Liu, Sanyang

2016-01-01

We present a practical branch and bound algorithm for globally solving generalized linear multiplicative programming problem with multiplicative constraints. To solve the problem, a relaxation programming problem which is equivalent to a linear programming is proposed by utilizing a new two-phase relaxation technique. In the algorithm, lower and upper bounds are simultaneously obtained by solving some linear relaxation programming problems. Global convergence has been proved and results of some sample examples and a small random experiment show that the proposed algorithm is feasible and efficient.

Importance of parametrizing constraints in quantum-mechanical variational calculations

NASA Technical Reports Server (NTRS)

Chung, Kwong T.; Bhatia, A. K.

1992-01-01

In variational calculations of quantum mechanics, constraints are sometimes imposed explicitly on the wave function. These constraints, which are deduced by physical arguments, are often not uniquely defined. In this work, the advantage of parametrizing constraints and letting the variational principle determine the best possible constraint for the problem is pointed out. Examples are carried out to show the surprising effectiveness of the variational method if constraints are parameterized. It is also shown that misleading results may be obtained if a constraint is not parameterized.

A study of the use of linear programming techniques to improve the performance in design optimization problems

NASA Technical Reports Server (NTRS)

Young, Katherine C.; Sobieszczanski-Sobieski, Jaroslaw

1988-01-01

This project has two objectives. The first is to determine whether linear programming techniques can improve performance when handling design optimization problems with a large number of design variables and constraints relative to the feasible directions algorithm. The second purpose is to determine whether using the Kreisselmeier-Steinhauser (KS) function to replace the constraints with one constraint will reduce the cost of total optimization. Comparisons are made using solutions obtained with linear and non-linear methods. The results indicate that there is no cost saving using the linear method or in using the KS function to replace constraints.

Evaluation of customer satisfaction level of different projects.

PubMed

Das, Nandini; Samanta, Niladri

2005-01-01

Customer satisfaction as the key element for success in business is a major concern for any industry. In this paper we propose a customer satisfaction index using principal component analysis for a software solution company. This index was used as an input to the marketing division to identify their potential customers from their past experience. Since this is a very common problem for any industry, the same approach can be used in similar situations.

[Personal resources and nursing work: a research on coping strategies and job satisfaction].

PubMed

Formentin, Silvia; Dallago, Lorenza; Negrisolo, Adriana

2009-01-01

The coping (ability to face a difficult situation), is an essential resource for nurses, because it increases the effective functioning in the working environment, job satisfaction and individual level of wellness. The aim of this study is to explore the relationship between coping strategies and job satisfaction. A self report questionnaire was administered to all the nurses working in health services and hospitals of Padua province and to free lance nurses members of the College of Nurses, to collect information on coping strategies and job satisfaction. 2264 questionnaires were returned (71%). Active coping strategies are adopted mainly from older nurses while avoiding strategies are prevalent among younger. An association was observed between job satisfaction and active coping strategies, aimed at problem solving: active strategies increase job satisfaction while avoiding strategies descrease it. Individual coping strategies implemented to face difficult situations are associated to job satisfaction.

A green vehicle routing problem with customer satisfaction criteria

NASA Astrophysics Data System (ADS)

Afshar-Bakeshloo, M.; Mehrabi, A.; Safari, H.; Maleki, M.; Jolai, F.

2016-12-01

This paper develops an MILP model, named Satisfactory-Green Vehicle Routing Problem. It consists of routing a heterogeneous fleet of vehicles in order to serve a set of customers within predefined time windows. In this model in addition to the traditional objective of the VRP, both the pollution and customers' satisfaction have been taken into account. Meanwhile, the introduced model prepares an effective dashboard for decision-makers that determines appropriate routes, the best mixed fleet, speed and idle time of vehicles. Additionally, some new factors evaluate the greening of each decision based on three criteria. This model applies piecewise linear functions (PLFs) to linearize a nonlinear fuzzy interval for incorporating customers' satisfaction into other linear objectives. We have presented a mixed integer linear programming formulation for the S-GVRP. This model enriches managerial insights by providing trade-offs between customers' satisfaction, total costs and emission levels. Finally, we have provided a numerical study for showing the applicability of the model.

A comparison of family functioning, life and marital satisfaction, and mental health of women in polygamous and monogamous marriages.

PubMed

Al-Krenawi, Alean; Graham, John R

2006-01-01

A considerable body of research concludes that the polygamous family structure has an impact on children's and wives' psychological, social and family functioning. The present study is among the first to consider within the same ethno-racial community such essential factors as family functioning, life satisfaction, marital satisfaction and mental health functioning among women who are in polygamous marriages and women who are in monogamous marriages. A sample of 352 Bedouin-Arab women participated in this study: 235 (67%) were in a monogamous marriage and 117 (33%) were in a polygamous marriage. Findings reveal differences between women in polygamous and monogamous marriages. Women in polygamous marriages showed significantly higher psychological distress, and higher levels of somatisation, phobia and other psychological problems. They also had significantly more problems in family functioning, marital relationships and life satisfaction. The article calls on public policy and social service personnel to increase public awareness of the significance of polygamous family structures for women's wellbeing.

Energy Edge Post-Occupancy Evaluation Project: The Emerald People's Utility District Building (EPUD) Eugene, Oregon

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1990-06-01

The Workspace Satisfaction Survey measures occupant satisfaction with the thermal, lighting, acoustical, and air quality aspects of the work environment. In addition to ratings of these ambient environmental features, occupants also rate their satisfaction with a number of functional and aesthetic features of the office environment as well as their satisfaction with specific kinds of workspaces (e.g., computer rooms, the lobby, employee lounge, etc.). Each section on ambient conditions includes questions on the frequency with which people experience particular kinds of discomforts or problems, how much the discomfort bothers them, and how much it interferes with their work. Occupants aremore » also asked to identify how they cope with discomfort or environmental problems, and to what extent these behaviors enable them to achieve more satisfactory conditions. This report documents the results of this survey of the occupants of the Emerald People's Utility District office building in Eugene, Oregon.« less

Collateral benefits of the family check-up in early childhood: primary caregivers' social support and relationship satisfaction.

PubMed

McEachern, Amber D; Fosco, Gregory M; Dishion, Thomas J; Shaw, Daniel S; Wilson, Melvin N; Gardner, Frances

2013-04-01

This research investigated potential collateral benefits of the Family Check-Up (FCU) intervention, namely, primary caregivers' perceived social support and couple relationship satisfaction. A subsample of 435 low-income families with a 2-year-old child was recruited to participate in a randomized controlled trial assessing preventative effects of the FCU. Longitudinal growth models were used to evaluate intention-to-treat effects of the FCU on increases in primary caregivers' ratings of social support satisfaction with perceived social support and significant-other relationships, and indirect effects on primary caregivers through improvements in children's behavior problems. Support was found for a model in which reductions in child problem behavior from ages 2 to 4 predicted positive change in caregiver-rated social support and relationship satisfaction over a 3-year period. This indirect effects model is discussed with respect to implications for early childhood prevention research focused on improving family functioning. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

Collateral Benefits of the Family Check-Up in Early Childhood: Primary Caregivers’ Social Support and Relationship Satisfaction

PubMed Central

McEachern, Amber D.; Dishion, Thomas J.; Wilson, Melvin N.; Fosco, Gregory M.; Shaw, Daniel S.; Gardner, Frances

2013-01-01

This research investigated potential collateral benefits of the Family Check-Up (FCU) intervention, namely, primary caregivers’ perceived social support and couple relationship satisfaction. A subsample of 435 low-income families with a 2-year-old child was recruited to participate in a randomized controlled trial assessing preventative effects of the FCU. Longitudinal growth models were used to evaluate intention-to-treat effects of the FCU on increases in primary caregivers’ ratings of social support satisfaction with perceived social support and significant-other relationships, and indirect effects on primary caregivers through improvements in children's behavior problems. Support was found for a model in which reductions in child problem behavior from ages 2 to 4 predicted positive change in caregiver-rated social support and relationship satisfaction over a 3-year period. This indirect effects model is discussed with respect to implications for early childhood prevention research focused on improving family functioning. PMID:23458695

Energy Edge Post-Occupancy Evaluation Project: The Eugene Water and Electric Board Building (EWEB) Eugene, Oregon

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1990-06-01

The Workspace Satisfaction Survey measures occupant satisfaction with the thermal, lighting, acoustical, and air quality aspects of the work environment. In addition to ratings of these ambient environmental features, occupants also rate their satisfaction with a number of functional and aesthetic features of the office environment as well as their satisfaction with specific kinds of workspaces (e.g., computer rooms, the lobby, employee lounge, etc.) Each section on ambient conditions includes questions on the frequency with which people experience particular kinds of discomforts or problems, how much the discomfort bothers them, and how much it interferes with their work. Occupants aremore » also asked to identify how they cope with discomfort or environmental problems, and to what extent these behaviors enable them to achieve more satisfactory conditions. Results of this survey of occupants of the four story Eugene Water Electric Boards (EWEB) main office building on the banks of the Wilamette River in Eugene, Oregon are the subject of this report.« less

Stock management in hospital pharmacy using chance-constrained model predictive control.

PubMed

Jurado, I; Maestre, J M; Velarde, P; Ocampo-Martinez, C; Fernández, I; Tejera, B Isla; Prado, J R Del

2016-05-01

One of the most important problems in the pharmacy department of a hospital is stock management. The clinical need for drugs must be satisfied with limited work labor while minimizing the use of economic resources. The complexity of the problem resides in the random nature of the drug demand and the multiple constraints that must be taken into account in every decision. In this article, chance-constrained model predictive control is proposed to deal with this problem. The flexibility of model predictive control allows taking into account explicitly the different objectives and constraints involved in the problem while the use of chance constraints provides a trade-off between conservativeness and efficiency. The solution proposed is assessed to study its implementation in two Spanish hospitals. Copyright © 2015 Elsevier Ltd. All rights reserved.

Finite element solution of optimal control problems with state-control inequality constraints

NASA Technical Reports Server (NTRS)

Bless, Robert R.; Hodges, Dewey H.

1992-01-01

It is demonstrated that the weak Hamiltonian finite-element formulation is amenable to the solution of optimal control problems with inequality constraints which are functions of both state and control variables. Difficult problems can be treated on account of the ease with which algebraic equations can be generated before having to specify the problem. These equations yield very accurate solutions. Owing to the sparse structure of the resulting Jacobian, computer solutions can be obtained quickly when the sparsity is exploited.

Think Inside the Box

ERIC Educational Resources Information Center

Spencer, John

2017-01-01

Besides "thinking outside the box," the creativity needed to solve problems often involves thinking differently about the box, finding a new approach or off-beat way to use the materials, conditions, and even constraints that one has. Spencer discusses creative constraint--what happens when a problem solver runs into barriers that make…

Effective Teaching of Economics: A Constrained Optimization Problem?

ERIC Educational Resources Information Center

Hultberg, Patrik T.; Calonge, David Santandreu

2017-01-01

One of the fundamental tenets of economics is that decisions are often the result of optimization problems subject to resource constraints. Consumers optimize utility, subject to constraints imposed by prices and income. As economics faculty, instructors attempt to maximize student learning while being constrained by their own and students'…

Teaching Database Design with Constraint-Based Tutors

ERIC Educational Resources Information Center

Mitrovic, Antonija; Suraweera, Pramuditha

2016-01-01

Design tasks are difficult to teach, due to large, unstructured solution spaces, underspecified problems, non-existent problem solving algorithms and stopping criteria. In this paper, we comment on our approach to develop KERMIT, a constraint-based tutor that taught database design. In later work, we re-implemented KERMIT as EER-Tutor, and…

Patient satisfaction with maxillofacial prosthesis. Literature review.

PubMed

Goiato, Marcelo Coelho; Pesqueira, Aldiéris Alves; Ramos da Silva, Cristina; Gennari Filho, Humberto; Micheline Dos Santos, Daniela

2009-02-01

Obturators and facial prostheses are important not only in rehabilitation and aesthetics, but also in patient re-socialisation. The level of reintegration is directly related to the degree of satisfaction with rehabilitation. So, the maxillofacial prosthetics must provide patient satisfaction during treatment. This study aimed to search information in database and conduct a literature review on patient satisfaction with maxillofacial prosthesis. The problems experienced by these patients may decrease when specialists keep the patient on regular inspection. Rehabilitation through alloplasty or prosthetic restoration provides satisfactory conditions in aesthetics and well-being and reinstates individuals in familial and social environment.

Level-Set Topology Optimization with Aeroelastic Constraints

NASA Technical Reports Server (NTRS)

Dunning, Peter D.; Stanford, Bret K.; Kim, H. Alicia

2015-01-01

Level-set topology optimization is used to design a wing considering skin buckling under static aeroelastic trim loading, as well as dynamic aeroelastic stability (flutter). The level-set function is defined over the entire 3D volume of a transport aircraft wing box. Therefore, the approach is not limited by any predefined structure and can explore novel configurations. The Sequential Linear Programming (SLP) level-set method is used to solve the constrained optimization problems. The proposed method is demonstrated using three problems with mass, linear buckling and flutter objective and/or constraints. A constraint aggregation method is used to handle multiple buckling constraints in the wing skins. A continuous flutter constraint formulation is used to handle difficulties arising from discontinuities in the design space caused by a switching of the critical flutter mode.

Assessing the role of relationship conflict in sexual dysfunction.

PubMed

Metz, Michael E; Epstein, Norman

2002-01-01

Relationship conflict has long been thought to cause, maintain, and influence the therapeutic outcome of sexual problems in the absence of a physical cause. The results of conflict can influence partners' relationship satisfaction, and relationship satisfaction can influence sexual satisfaction. General relationship deficiencies, such as unresolved conflict, undermine the mutual acceptance that is important to healthy sexual functioning. The purpose of this article is to summarize some of the basic empirical findings of studies of conflict patterns in relationships and their role in sex dysfunction and to suggest a model for assessing relationship conflict as a feature of sexual dysfunction. Results from several studies indicate that couples with sexual problems may have conflict-management issues and employ distinct conflict-resolution styles compared to satisfied couples. Dysfunctional conflict resolution may be a cause or result of some sexual problems, whereas constructive interaction concerning conflict can add to emotional and sexual intimacy in a couple's relationship. These patterns warrant systematic attention in assessment and intervention in sex therapy.

[Transsexuals' life satisfaction after gender transformation operations].

PubMed

Zimmermann, A; Zimmer, R; Kovacs, L; Einödshofer, S; Herschbach, P; Henrich, G; Tunner, W; Biemer, E; Papadopulos, N A

2006-05-01

More and more frequently, the registration of life satisfaction is being used to evaluate different medical treatments. So far, there have been only few such surveys on transsexuals (TS). Therefore, the aim of this study was to evaluate the general and the health-related life satisfaction of transsexuals after gender transformation operations. Forty patients took part in this German cross-sectional study. The Questions on Life Satisfaction Module (FLZ) and free questions on different aspects of the new gender identity were used as measuring instruments. Of the TS studied, 85-95% were "very satisfied" or "satisfied" with the results of their gender transformation operation in respect to gender identity. The TS were significantly less satisfied (P>0.001) in overall "general life satisfaction" than the general population. In overall FLZ scores for "health-related life satisfaction", no differences were seen. These data indicate a discrepancy between subjective satisfaction with new gender identity and current life situation, and they identify problems with life satisfaction.

A quadratic-tensor model algorithm for nonlinear least-squares problems with linear constraints

NASA Technical Reports Server (NTRS)

Hanson, R. J.; Krogh, Fred T.

1992-01-01

A new algorithm for solving nonlinear least-squares and nonlinear equation problems is proposed which is based on approximating the nonlinear functions using the quadratic-tensor model by Schnabel and Frank. The algorithm uses a trust region defined by a box containing the current values of the unknowns. The algorithm is found to be effective for problems with linear constraints and dense Jacobian matrices.

Second-order optimality conditions for problems with C1 data

NASA Astrophysics Data System (ADS)

Ginchev, Ivan; Ivanov, Vsevolod I.

2008-04-01

In this paper we obtain second-order optimality conditions of Karush-Kuhn-Tucker type and Fritz John one for a problem with inequality constraints and a set constraint in nonsmooth settings using second-order directional derivatives. In the necessary conditions we suppose that the objective function and the active constraints are continuously differentiable, but their gradients are not necessarily locally Lipschitz. In the sufficient conditions for a global minimum we assume that the objective function is differentiable at and second-order pseudoconvex at , a notion introduced by the authors [I. Ginchev, V.I. Ivanov, Higher-order pseudoconvex functions, in: I.V. Konnov, D.T. Luc, A.M. Rubinov (Eds.), Generalized Convexity and Related Topics, in: Lecture Notes in Econom. and Math. Systems, vol. 583, Springer, 2007, pp. 247-264], the constraints are both differentiable and quasiconvex at . In the sufficient conditions for an isolated local minimum of order two we suppose that the problem belongs to the class C1,1. We show that they do not hold for C1 problems, which are not C1,1 ones. At last a new notion parabolic local minimum is defined and it is applied to extend the sufficient conditions for an isolated local minimum from problems with C1,1 data to problems with C1 one.

Stress-Constrained Structural Topology Optimization with Design-Dependent Loads

NASA Astrophysics Data System (ADS)

Lee, Edmund

Topology optimization is commonly used to distribute a given amount of material to obtain the stiffest structure, with predefined fixed loads. The present work investigates the result of applying stress constraints to topology optimization, for problems with design-depending loading, such as self-weight and pressure. In order to apply pressure loading, a material boundary identification scheme is proposed, iteratively connecting points of equal density. In previous research, design-dependent loading problems have been limited to compliance minimization. The present study employs a more practical approach by minimizing mass subject to failure constraints, and uses a stress relaxation technique to avoid stress constraint singularities. The results show that these design dependent loading problems may converge to a local minimum when stress constraints are enforced. Comparisons between compliance minimization solutions and stress-constrained solutions are also given. The resulting topologies of these two solutions are usually vastly different, demonstrating the need for stress-constrained topology optimization.

Uncertainty management by relaxation of conflicting constraints in production process scheduling

NASA Technical Reports Server (NTRS)

Dorn, Juergen; Slany, Wolfgang; Stary, Christian

1992-01-01

Mathematical-analytical methods as used in Operations Research approaches are often insufficient for scheduling problems. This is due to three reasons: the combinatorial complexity of the search space, conflicting objectives for production optimization, and the uncertainty in the production process. Knowledge-based techniques, especially approximate reasoning and constraint relaxation, are promising ways to overcome these problems. A case study from an industrial CIM environment, namely high-grade steel production, is presented to demonstrate how knowledge-based scheduling with the desired capabilities could work. By using fuzzy set theory, the applied knowledge representation technique covers the uncertainty inherent in the problem domain. Based on this knowledge representation, a classification of jobs according to their importance is defined which is then used for the straightforward generation of a schedule. A control strategy which comprises organizational, spatial, temporal, and chemical constraints is introduced. The strategy supports the dynamic relaxation of conflicting constraints in order to improve tentative schedules.

Task Assignment and Path Planning for Multiple Autonomous Underwater Vehicles Using 3D Dubins Curves †

PubMed Central

Zhang, Meiyan; Zheng, Yahong Rosa

2017-01-01

This paper investigates the task assignment and path planning problem for multiple AUVs in three dimensional (3D) underwater wireless sensor networks where nonholonomic motion constraints of underwater AUVs in 3D space are considered. The multi-target task assignment and path planning problem is modeled by the Multiple Traveling Sales Person (MTSP) problem and the Genetic Algorithm (GA) is used to solve the MTSP problem with Euclidean distance as the cost function and the Tour Hop Balance (THB) or Tour Length Balance (TLB) constraints as the stop criterion. The resulting tour sequences are mapped to 2D Dubins curves in the X−Y plane, and then interpolated linearly to obtain the Z coordinates. We demonstrate that the linear interpolation fails to achieve G1 continuity in the 3D Dubins path for multiple targets. Therefore, the interpolated 3D Dubins curves are checked against the AUV dynamics constraint and the ones satisfying the constraint are accepted to finalize the 3D Dubins curve selection. Simulation results demonstrate that the integration of the 3D Dubins curve with the MTSP model is successful and effective for solving the 3D target assignment and path planning problem. PMID:28696377

Task Assignment and Path Planning for Multiple Autonomous Underwater Vehicles Using 3D Dubins Curves †.

PubMed

Cai, Wenyu; Zhang, Meiyan; Zheng, Yahong Rosa

2017-07-11

This paper investigates the task assignment and path planning problem for multiple AUVs in three dimensional (3D) underwater wireless sensor networks where nonholonomic motion constraints of underwater AUVs in 3D space are considered. The multi-target task assignment and path planning problem is modeled by the Multiple Traveling Sales Person (MTSP) problem and the Genetic Algorithm (GA) is used to solve the MTSP problem with Euclidean distance as the cost function and the Tour Hop Balance (THB) or Tour Length Balance (TLB) constraints as the stop criterion. The resulting tour sequences are mapped to 2D Dubins curves in the X - Y plane, and then interpolated linearly to obtain the Z coordinates. We demonstrate that the linear interpolation fails to achieve G 1 continuity in the 3D Dubins path for multiple targets. Therefore, the interpolated 3D Dubins curves are checked against the AUV dynamics constraint and the ones satisfying the constraint are accepted to finalize the 3D Dubins curve selection. Simulation results demonstrate that the integration of the 3D Dubins curve with the MTSP model is successful and effective for solving the 3D target assignment and path planning problem.

Improved multi-objective ant colony optimization algorithm and its application in complex reasoning

NASA Astrophysics Data System (ADS)

Wang, Xinqing; Zhao, Yang; Wang, Dong; Zhu, Huijie; Zhang, Qing

2013-09-01

The problem of fault reasoning has aroused great concern in scientific and engineering fields. However, fault investigation and reasoning of complex system is not a simple reasoning decision-making problem. It has become a typical multi-constraint and multi-objective reticulate optimization decision-making problem under many influencing factors and constraints. So far, little research has been carried out in this field. This paper transforms the fault reasoning problem of complex system into a paths-searching problem starting from known symptoms to fault causes. Three optimization objectives are considered simultaneously: maximum probability of average fault, maximum average importance, and minimum average complexity of test. Under the constraints of both known symptoms and the causal relationship among different components, a multi-objective optimization mathematical model is set up, taking minimizing cost of fault reasoning as the target function. Since the problem is non-deterministic polynomial-hard(NP-hard), a modified multi-objective ant colony algorithm is proposed, in which a reachability matrix is set up to constrain the feasible search nodes of the ants and a new pseudo-random-proportional rule and a pheromone adjustment mechinism are constructed to balance conflicts between the optimization objectives. At last, a Pareto optimal set is acquired. Evaluation functions based on validity and tendency of reasoning paths are defined to optimize noninferior set, through which the final fault causes can be identified according to decision-making demands, thus realize fault reasoning of the multi-constraint and multi-objective complex system. Reasoning results demonstrate that the improved multi-objective ant colony optimization(IMACO) can realize reasoning and locating fault positions precisely by solving the multi-objective fault diagnosis model, which provides a new method to solve the problem of multi-constraint and multi-objective fault diagnosis and reasoning of complex system.

Occupational Stressors and Job Satisfaction of Pennsylvania School District Superintendents

ERIC Educational Resources Information Center

Kane, Kevin T.

2017-01-01

Today's superintendents face increasingly non-routine and complex problems that are educational, managerial, and political in nature. This study investigated occupational stressors and job satisfaction of school superintendents in Pennsylvania. This was accomplished through self-report of superintendents and through the perspective of school board…

Solving an inverse eigenvalue problem with triple constraints on eigenvalues, singular values, and diagonal elements

NASA Astrophysics Data System (ADS)

Wu, Sheng-Jhih; Chu, Moody T.

2017-08-01

An inverse eigenvalue problem usually entails two constraints, one conditioned upon the spectrum and the other on the structure. This paper investigates the problem where triple constraints of eigenvalues, singular values, and diagonal entries are imposed simultaneously. An approach combining an eclectic mix of skills from differential geometry, optimization theory, and analytic gradient flow is employed to prove the solvability of such a problem. The result generalizes the classical Mirsky, Sing-Thompson, and Weyl-Horn theorems concerning the respective majorization relationships between any two of the arrays of main diagonal entries, eigenvalues, and singular values. The existence theory fills a gap in the classical matrix theory. The problem might find applications in wireless communication and quantum information science. The technique employed can be implemented as a first-step numerical method for constructing the matrix. With slight modification, the approach might be used to explore similar types of inverse problems where the prescribed entries are at general locations.

FOR Allocation to Distribution Systems based on Credible Improvement Potential (CIP)

NASA Astrophysics Data System (ADS)

Tiwary, Aditya; Arya, L. D.; Arya, Rajesh; Choube, S. C.

2017-02-01

This paper describes an algorithm for forced outage rate (FOR) allocation to each section of an electrical distribution system subject to satisfaction of reliability constraints at each load point. These constraints include threshold values of basic reliability indices, for example, failure rate, interruption duration and interruption duration per year at load points. Component improvement potential measure has been used for FOR allocation. Component with greatest magnitude of credible improvement potential (CIP) measure is selected for improving reliability performance. The approach adopted is a monovariable method where one component is selected for FOR allocation and in the next iteration another component is selected for FOR allocation based on the magnitude of CIP. The developed algorithm is implemented on sample radial distribution system.

Magnet status as a competitive strategy of hospital organizations: marketing a culture of excellence in nursing services.

PubMed

Tropello, Paula Grace Dunn

2003-01-01

With issues of patient safety, the nursing shortage, and managed care fiscal constraints, hospital organizations can strategically capture market share, while insuring best care practices, if they adopt the "Magnet Status" accreditation model. This quality indicator signifies to the consumer a culture of excellence in nursing services and fulfills the priority of customer satisfaction as a marketing strategy objective.

Parallelizing Data-Centric Programs

DTIC Science & Technology

2013-09-25

results than current techniques, such as ImageWebs [HGO+10], given the same budget of matches performed. 4.2 Scalable Parallel Similarity Search The work...algorithms. 5 Data-Driven Applications in the Cloud In this project, we investigated what happens when data-centric software is moved from expensive custom ...returns appropriate answer tuples. Figure 9 (b) shows the mutual constraint satisfaction that takes place in answering for 122. The intent is that

Job and Family Stress as Predictors of Pilot Health, Job Satisfaction and Performance.

DTIC Science & Technology

1984-05-01

occupational stress and job satisfaction , on balance, the data falls in favour of a significant inverse relationship between the two. It was decided - 21 - that... relationships between the items and mental health. These indicated that generally, pilots were worried about problem identification, i.e. perceived stress ...AD-A142 7?S d AND FAMILY STRESS AS PlEOICINCOF PILOT HEALTH JOE 1/.3 SATISFACTION ANO..AUI UNIVERSITY OF MANOESTER INSI OF SCIENCE AND TECHNOOGY

Packing Boxes into Multiple Containers Using Genetic Algorithm

NASA Astrophysics Data System (ADS)

Menghani, Deepak; Guha, Anirban

2016-07-01

Container loading problems have been studied extensively in the literature and various analytical, heuristic and metaheuristic methods have been proposed. This paper presents two different variants of a genetic algorithm framework for the three-dimensional container loading problem for optimally loading boxes into multiple containers with constraints. The algorithms are designed so that it is easy to incorporate various constraints found in real life problems. The algorithms are tested on data of standard test cases from literature and are found to compare well with the benchmark algorithms in terms of utilization of containers. This, along with the ability to easily incorporate a wide range of practical constraints, makes them attractive for implementation in real life scenarios.

Topological constraints and the existence of force-free fields

NASA Technical Reports Server (NTRS)

Antiochos, S. K.

1986-01-01

A fundamental problem in plasma theory is the question of the existence of MHD equilibria. The issue of topological constraints is of crucial importance for the problem of the existence of equilibria. Heuristic methods are used to discuss the coronal wrapping pattern. It is concluded that for a given set of footpoint positions the wrapping pattern in the corona is completely fixed. The topological constraints are included in the boundary conditions on the Euler potentials and impost no additional restrictions on possible equilibria. Although this does not prove that equilibria always exist, it does show that the force-free problem is not overdetermined and that existence of equilibria is still an open question.

Damage tolerant design using collapse techniques

NASA Technical Reports Server (NTRS)

Haftka, R. T.

1982-01-01

A new approach to the design of structures for improved global damage tolerance is presented. In its undamaged condition the structure is designed subject to strength, displacement and buckling constraints. In the damaged condition the only constraint is that the structure will not collapse. The collapse load calculation is formulated as a maximization problem and solved by an interior extended penalty function. The design for minimum weight subject to constraints on the undamaged structure and a specified level of the collapse load is a minimization problem which is also solved by a penalty function formulation. Thus the overall problem is of a nested or multilevel optimization. Examples are presented to demonstrate the difference between the present and more traditional approaches.

The relationship between job satisfaction and health: a meta-analysis.

PubMed

Faragher, E B; Cass, M; Cooper, C L

2005-02-01

A vast number of published studies have suggested a link between job satisfaction levels and health. The sizes of the relationships reported vary widely. Narrative overviews of this relationship have been published, but no systematic meta-analysis review has been conducted. A systematic review and meta-analysis of 485 studies with a combined sample size of 267 995 individuals was conducted, evaluating the research evidence linking self-report measures of job satisfaction to measures of physical and mental wellbeing. The overall correlation combined across all health measures was r = 0.312 (0.370 after Schmidt-Hunter adjustment). Job satisfaction was most strongly associated with mental/psychological problems; strongest relationships were found for burnout (corrected r = 0.478), self-esteem(r = 0.429), depression (r = 0.428), and anxiety(r = 0.420). The correlation with subjective physical illness was more modest (r = 0.287). Correlations in excess of 0.3 are rare in this context. The relationships found suggest that job satisfaction level is an important factor influencing the health of workers. Organisations should include the development of stress management policies to identify and eradicate work practices that cause most job dissatisfaction as part of any exercise aimed at improving employee health. Occupational health clinicians should consider counselling employees diagnosed as having psychological problems to critically evaluate their work-and help them to explore ways of gaining greater satisfaction from this important aspect of their life.

Satisfaction with life and food-related life in Ecuadorian older adults.

PubMed

Schnettler, Berta; Lobos, Germán; Lapo, María Del Carmen; Adasme-Berríos, Cristian; Hueche, Clementina

2017-02-01

To distinguish typologies of seniors according to their levels of satisfaction with life and food-related life, and to characterize them according to the importance assigned to family, health-related aspects, eating habits, nutritional status and sociodemographic characteristics. A survey was administered to a non-probabilistic sample of 817 seniors aged 60 years and over, of both genders, resident in urban and rural zones of the province of Guayas, Ecuador. The instrument included: Satisfaction with Life Scale (SWLS), Satisfaction with Food-related Life (SWFL), the Health-related Quality of Life Index (HRQOL-4) and the Family Importance Scale (FIS). Eating habits, sociodemographic variables, approximate weight and height were asked about. A cluster analysis was used to distinguish three typologies that differed significantly in the scores on the SWLS, SWFL, FIS, number of days with mental health problems, self-perception of health status, body mass index, eating habits and zone of residence. Two typologies presented high levels of satisfaction with life and food-related life, although the variables associated with overall well-being and in the food domain were different in each typology. The results suggest that high levels of satisfaction with life and food-related life in Ecuadorian seniors are associated with both healthful eating habits and having lunch in company, fewer mental health problems and greater importance assigned to family.

Searching for quantum optimal controls under severe constraints

DOE PAGES

Riviello, Gregory; Tibbetts, Katharine Moore; Brif, Constantin; ...

2015-04-06

The success of quantum optimal control for both experimental and theoretical objectives is connected to the topology of the corresponding control landscapes, which are free from local traps if three conditions are met: (1) the quantum system is controllable, (2) the Jacobian of the map from the control field to the evolution operator is of full rank, and (3) there are no constraints on the control field. This paper investigates how the violation of assumption (3) affects gradient searches for globally optimal control fields. The satisfaction of assumptions (1) and (2) ensures that the control landscape lacks fundamental traps, butmore » certain control constraints can still prevent successful optimization of the objective. Using optimal control simulations, we show that the most severe field constraints are those that limit essential control resources, such as the number of control variables, the control duration, and the field strength. Proper management of these resources is an issue of great practical importance for optimization in the laboratory. For each resource, we show that constraints exceeding quantifiable limits can introduce artificial traps to the control landscape and prevent gradient searches from reaching a globally optimal solution. These results demonstrate that careful choice of relevant control parameters helps to eliminate artificial traps and facilitate successful optimization.« less

Joint Chance-Constrained Dynamic Programming

NASA Technical Reports Server (NTRS)

Ono, Masahiro; Kuwata, Yoshiaki; Balaram, J. Bob

2012-01-01

This paper presents a novel dynamic programming algorithm with a joint chance constraint, which explicitly bounds the risk of failure in order to maintain the state within a specified feasible region. A joint chance constraint cannot be handled by existing constrained dynamic programming approaches since their application is limited to constraints in the same form as the cost function, that is, an expectation over a sum of one-stage costs. We overcome this challenge by reformulating the joint chance constraint into a constraint on an expectation over a sum of indicator functions, which can be incorporated into the cost function by dualizing the optimization problem. As a result, the primal variables can be optimized by a standard dynamic programming, while the dual variable is optimized by a root-finding algorithm that converges exponentially. Error bounds on the primal and dual objective values are rigorously derived. We demonstrate the algorithm on a path planning problem, as well as an optimal control problem for Mars entry, descent and landing. The simulations are conducted using a real terrain data of Mars, with four million discrete states at each time step.

Job satisfaction among hospital nurses: a longitudinal study.

PubMed Central

Weisman, C S; Alexander, C S; Chase, G A

1980-01-01

Data from a two-wave panel study of staff nurses in two hospitals are used to assess the relative importance of several types of independent variables as determinants of job satisfaction. Both organizational and nonorganizational determinants are examined, with the formed including both perceptual and structural measures. Job satisfaction is measured in two ways using both Overall and Multi-Facet indicators. The independent variables were measured five months before the dependent variables were measured in order to attenuate contamination problems. Findings indicate that perceptions of job and nursing unit attributes, particularly autonomy and task delegation, predict satisfaction most strongly. In addition, a nurse's own characteristics are found to be more important than either structural attributes of nursing units or job characteristics in predicting job satisfaction. PMID:7461970

Toward interactive scheduling systems for managing medical resources.

PubMed

Oddi, A; Cesta, A

2000-10-01

Managers of medico-hospital facilities are facing two general problems when allocating resources to activities: (1) to find an agreement between several and contrasting requirements; (2) to manage dynamic and uncertain situations when constraints suddenly change over time due to medical needs. This paper describes the results of a research aimed at applying constraint-based scheduling techniques to the management of medical resources. A mixed-initiative problem solving approach is adopted in which a user and a decision support system interact to incrementally achieve a satisfactory solution to the problem. A running prototype is described called Interactive Scheduler which offers a set of functionalities for a mixed-initiative interaction to cope with the medical resource management. Interactive Scheduler is endowed with a representation schema used for describing the medical environment, a set of algorithms that address the specific problems of the domain, and an innovative interaction module that offers functionalities for the dialogue between the support system and its user. A particular contribution of this work is the explicit representation of constraint violations, and the definition of scheduling algorithms that aim at minimizing the amount of constraint violations in a solution.

Distributed Unmixing of Hyperspectral Datawith Sparsity Constraint

NASA Astrophysics Data System (ADS)

Khoshsokhan, S.; Rajabi, R.; Zayyani, H.

2017-09-01

Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional abundance matrices in a blind problem, nonnegative matrix factorization (NMF) and its developments are used widely in the SU problem. One of the constraints which was added to NMF is sparsity constraint that was regularized by L1/2 norm. In this paper, a new algorithm based on distributed optimization has been used for spectral unmixing. In the proposed algorithm, a network including single-node clusters has been employed. Each pixel in hyperspectral images considered as a node in this network. The distributed unmixing with sparsity constraint has been optimized with diffusion LMS strategy, and then the update equations for fractional abundance and signature matrices are obtained. Simulation results based on defined performance metrics, illustrate advantage of the proposed algorithm in spectral unmixing of hyperspectral data compared with other methods. The results show that the AAD and SAD of the proposed approach are improved respectively about 6 and 27 percent toward distributed unmixing in SNR=25dB.

The Role of Life Satisfaction in the Relationship between Authoritative Parenting Dimensions and Adolescent Problem Behavior

ERIC Educational Resources Information Center

Suldo, Shannon M.; Huebner, E. Scott

2004-01-01

Research examining environmental factors associated with adolescents' life satisfaction (LS) has revealed that familial variables (e.g., parent-child conflict, family structure) are crucial correlates. The purpose of the current study was to identify particular dimensions of authoritative parenting (strictness-supervision, social…

Student Satisfaction Scale Development and Application for Sport Management in China

ERIC Educational Resources Information Center

Liu, Liu; Wang, Yong-Shun; Wu, Tung-Ju

2017-01-01

Student satisfaction is a primary indicator for college and university organizational self-assessment in European and American countries. Professional sport universities are the major institution cultivating sports talents in China. Nevertheless, it appears the problem in past years that the talent cultivation and management is not suitable for…

Computing approximate solutions of the protein structure determination problem using global constraints on discrete crystal lattices.

PubMed

Dal Palù, Alessandro; Dovier, Agostino; Pontelli, Enrico

2010-01-01

Crystal lattices are discrete models of the three-dimensional space that have been effectively employed to facilitate the task of determining proteins' natural conformation. This paper investigates alternative global constraints that can be introduced in a constraint solver over discrete crystal lattices. The objective is to enhance the efficiency of lattice solvers in dealing with the construction of approximate solutions of the protein structure determination problem. Some of them (e.g., self-avoiding-walk) have been explicitly or implicitly already used in previous approaches, while others (e.g., the density constraint) are new. The intrinsic complexities of all of them are studied and preliminary experimental results are discussed.

A quasi-Newton approach to optimization problems with probability density constraints. [problem solving in mathematical programming

NASA Technical Reports Server (NTRS)

Tapia, R. A.; Vanrooy, D. L.

1976-01-01

A quasi-Newton method is presented for minimizing a nonlinear function while constraining the variables to be nonnegative and sum to one. The nonnegativity constraints were eliminated by working with the squares of the variables and the resulting problem was solved using Tapia's general theory of quasi-Newton methods for constrained optimization. A user's guide for a computer program implementing this algorithm is provided.

A hybrid solution approach for a multi-objective closed-loop logistics network under uncertainty

NASA Astrophysics Data System (ADS)

Mehrbod, Mehrdad; Tu, Nan; Miao, Lixin

2015-06-01

The design of closed-loop logistics (forward and reverse logistics) has attracted growing attention with the stringent pressures of customer expectations, environmental concerns and economic factors. This paper considers a multi-product, multi-period and multi-objective closed-loop logistics network model with regard to facility expansion as a facility location-allocation problem, which more closely approximates real-world conditions. A multi-objective mixed integer nonlinear programming formulation is linearized by defining new variables and adding new constraints to the model. By considering the aforementioned model under uncertainty, this paper develops a hybrid solution approach by combining an interactive fuzzy goal programming approach and robust counterpart optimization based on three well-known robust counterpart optimization formulations. Finally, this paper compares the results of the three formulations using different test scenarios and parameter-sensitive analysis in terms of the quality of the final solution, CPU time, the level of conservatism, the degree of closeness to the ideal solution, the degree of balance involved in developing a compromise solution, and satisfaction degree.

ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative–quantitative modeling

PubMed Central

Streif, Stefan; Savchenko, Anton; Rumschinski, Philipp; Borchers, Steffen; Findeisen, Rolf

2012-01-01

Summary: Often competing hypotheses for biochemical networks exist in the form of different mathematical models with unknown parameters. Considering available experimental data, it is then desired to reject model hypotheses that are inconsistent with the data, or to estimate the unknown parameters. However, these tasks are complicated because experimental data are typically sparse, uncertain, and are frequently only available in form of qualitative if–then observations. ADMIT (Analysis, Design and Model Invalidation Toolbox) is a MatLabTM-based tool for guaranteed model invalidation, state and parameter estimation. The toolbox allows the integration of quantitative measurement data, a priori knowledge of parameters and states, and qualitative information on the dynamic or steady-state behavior. A constraint satisfaction problem is automatically generated and algorithms are implemented for solving the desired estimation, invalidation or analysis tasks. The implemented methods built on convex relaxation and optimization and therefore provide guaranteed estimation results and certificates for invalidity. Availability: ADMIT, tutorials and illustrative examples are available free of charge for non-commercial use at http://ifatwww.et.uni-magdeburg.de/syst/ADMIT/ Contact: stefan.streif@ovgu.de PMID:22451270

ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling.

PubMed

Streif, Stefan; Savchenko, Anton; Rumschinski, Philipp; Borchers, Steffen; Findeisen, Rolf

2012-05-01

Often competing hypotheses for biochemical networks exist in the form of different mathematical models with unknown parameters. Considering available experimental data, it is then desired to reject model hypotheses that are inconsistent with the data, or to estimate the unknown parameters. However, these tasks are complicated because experimental data are typically sparse, uncertain, and are frequently only available in form of qualitative if-then observations. ADMIT (Analysis, Design and Model Invalidation Toolbox) is a MatLab(TM)-based tool for guaranteed model invalidation, state and parameter estimation. The toolbox allows the integration of quantitative measurement data, a priori knowledge of parameters and states, and qualitative information on the dynamic or steady-state behavior. A constraint satisfaction problem is automatically generated and algorithms are implemented for solving the desired estimation, invalidation or analysis tasks. The implemented methods built on convex relaxation and optimization and therefore provide guaranteed estimation results and certificates for invalidity. ADMIT, tutorials and illustrative examples are available free of charge for non-commercial use at http://ifatwww.et.uni-magdeburg.de/syst/ADMIT/

Computing group cardinality constraint solutions for logistic regression problems.

PubMed

Zhang, Yong; Kwon, Dongjin; Pohl, Kilian M

2017-01-01

We derive an algorithm to directly solve logistic regression based on cardinality constraint, group sparsity and use it to classify intra-subject MRI sequences (e.g. cine MRIs) of healthy from diseased subjects. Group cardinality constraint models are often applied to medical images in order to avoid overfitting of the classifier to the training data. Solutions within these models are generally determined by relaxing the cardinality constraint to a weighted feature selection scheme. However, these solutions relate to the original sparse problem only under specific assumptions, which generally do not hold for medical image applications. In addition, inferring clinical meaning from features weighted by a classifier is an ongoing topic of discussion. Avoiding weighing features, we propose to directly solve the group cardinality constraint logistic regression problem by generalizing the Penalty Decomposition method. To do so, we assume that an intra-subject series of images represents repeated samples of the same disease patterns. We model this assumption by combining series of measurements created by a feature across time into a single group. Our algorithm then derives a solution within that model by decoupling the minimization of the logistic regression function from enforcing the group sparsity constraint. The minimum to the smooth and convex logistic regression problem is determined via gradient descent while we derive a closed form solution for finding a sparse approximation of that minimum. We apply our method to cine MRI of 38 healthy controls and 44 adult patients that received reconstructive surgery of Tetralogy of Fallot (TOF) during infancy. Our method correctly identifies regions impacted by TOF and generally obtains statistically significant higher classification accuracy than alternative solutions to this model, i.e., ones relaxing group cardinality constraints. Copyright © 2016 Elsevier B.V. All rights reserved.

Full- and part-time work: gender and welfare-type differences in European working conditions, job satisfaction, health status, and psychosocial issues.

PubMed

Bartoll, Xavier; Cortès, Imma; Artazcoz, Lucía

2014-07-01

The aim of this study was to analyze the differences between full- and part-time employment (FTE and PTE) in terms of working conditions, on the one hand, and job satisfaction, health status, and work-related psychosocial problems according to gender and welfare state regime, on the other hand, and to analyze the role of working conditions in the association between PTE and FTE. This cross-sectional study was based on a sample of 7921 men and 8220 women from the European Working Conditions Survey aged 16-64 years, who were employed part-time (5-19 or 20-30 hours per week) or full-time (31-40 hours/week). Multiple logistic regression models were fitted separately for each gender and welfare state regime. PTE is associated with poorer working conditions than FTE for all national welfare types. Among women, only those in southern European countries experienced low job satisfaction [odds ratio after adjustment (OR adj) for sociodemographic variables, OR adj1.73, and 1.66, for those working 20-30 and 5-19 hours/week, respectively; reference group: FTE workers], but this association disappeared after further adjustment for working conditions. Low job satisfaction and poorer health status was more common among PTE men from continental (low job satisfaction, OR adj1.80 and 3.61, for 20-30 and 5-19 working hours/week, respectively), and southern European (OR adj, 2.98, for 5-19 working hours/week) countries. PTE tended to be associated with fewer psychosocial problems among women, but with more psychosocial problems among men in continental Europe and those those engaged in "mini-jobs" in southern European welfare regimes. The association between FTE and PTE and job satisfaction, health status, and psychosocial problems is partly driven by working conditions and differs between gender and welfare regime. This highlights the importance of promoting effective measures to ensure equal treatment between FTE and PTE workers and the role of the social norms that form part of these different welfare states regimes.

Peer Victimization among Classmates-Associations with Students' Internalizing Problems, Self-Esteem, and Life Satisfaction.

PubMed

Låftman, Sara B; Modin, Bitte

2017-10-13

Bullying is a major problem in schools and a large number of studies have demonstrated that victims have a high excess risk of poor mental health. It may however also affect those who are not directly victimized by peers. The present study investigates whether peer victimization among classmates is linked to internalizing problems, self-esteem, and life satisfaction at the individual level, when the student's own victimization has been taken into account. The data were derived from the first wave of the Swedish part of Youth in Europe Study (YES!), including information on 4319 students in grade 8 (14-15 years of age) distributed across 242 classes. Results from multilevel analyses show a significant association between classes with a high proportion of students being victimized and higher levels of internalizing problems, lower self-esteem, and lower life satisfaction at the student level. This association holds when the student's own victimization has been taken into account. This suggests that peer victimization negatively affects those who are directly exposed, as well as their classmates. We conclude that efficient methods and interventions to reduce bullying in school are likely to benefit not only those who are victimized, but all students.

Problems with measuring satisfaction with social care.

PubMed

Willis, Rosalind; Evandrou, Maria; Pathak, Pathik; Khambhaita, Priya

2016-09-01

The measurement of customer satisfaction has become widespread in both healthcare and social care services, and is informative for performance monitoring and service development. Satisfaction with social care services is routinely measured with a single question on overall satisfaction with care, comprising part of the Adult Social Care Survey. The measurement of satisfaction has been problematised, and existing satisfaction measures are known to be under-theorised. In this article, the process of making an evaluation of satisfaction with social care services is first informed by a literature review of the theoretical background, and second examined through qualitative interviews conducted in 2012-2013 with 82 service users and family carers in Hampshire, Portsmouth and Southampton. Participants in this study were from white British and South Asian backgrounds, and the influence of ethnicity in the process of satisfaction evaluation is discussed. The findings show that the majority of participants selected a positive satisfaction rating even though both positive and negative experiences with services were described in their narratives. It is recommended that surveys provide opportunity for service users and family carers to elaborate on their satisfaction ratings. This addition will provide more scope for services to review their strengths and weaknesses. © 2015 John Wiley & Sons Ltd.

Model Based Optimal Control, Estimation, and Validation of Lithium-Ion Batteries

NASA Astrophysics Data System (ADS)

Perez, Hector Eduardo

This dissertation focuses on developing and experimentally validating model based control techniques to enhance the operation of lithium ion batteries, safely. An overview of the contributions to address the challenges that arise are provided below. Chapter 1: This chapter provides an introduction to battery fundamentals, models, and control and estimation techniques. Additionally, it provides motivation for the contributions of this dissertation. Chapter 2: This chapter examines reference governor (RG) methods for satisfying state constraints in Li-ion batteries. Mathematically, these constraints are formulated from a first principles electrochemical model. Consequently, the constraints explicitly model specific degradation mechanisms, such as lithium plating, lithium depletion, and overheating. This contrasts with the present paradigm of limiting measured voltage, current, and/or temperature. The critical challenges, however, are that (i) the electrochemical states evolve according to a system of nonlinear partial differential equations, and (ii) the states are not physically measurable. Assuming available state and parameter estimates, this chapter develops RGs for electrochemical battery models. The results demonstrate how electrochemical model state information can be utilized to ensure safe operation, while simultaneously enhancing energy capacity, power, and charge speeds in Li-ion batteries. Chapter 3: Complex multi-partial differential equation (PDE) electrochemical battery models are characterized by parameters that are often difficult to measure or identify. This parametric uncertainty influences the state estimates of electrochemical model-based observers for applications such as state-of-charge (SOC) estimation. This chapter develops two sensitivity-based interval observers that map bounded parameter uncertainty to state estimation intervals, within the context of electrochemical PDE models and SOC estimation. Theoretically, this chapter extends the notion of interval observers to PDE models using a sensitivity-based approach. Practically, this chapter quantifies the sensitivity of battery state estimates to parameter variations, enabling robust battery management schemes. The effectiveness of the proposed sensitivity-based interval observers is verified via a numerical study for the range of uncertain parameters. Chapter 4: This chapter seeks to derive insight on battery charging control using electrochemistry models. Directly using full order complex multi-partial differential equation (PDE) electrochemical battery models is difficult and sometimes impossible to implement. This chapter develops an approach for obtaining optimal charge control schemes, while ensuring safety through constraint satisfaction. An optimal charge control problem is mathematically formulated via a coupled reduced order electrochemical-thermal model which conserves key electrochemical and thermal state information. The Legendre-Gauss-Radau (LGR) pseudo-spectral method with adaptive multi-mesh-interval collocation is employed to solve the resulting nonlinear multi-state optimal control problem. Minimum time charge protocols are analyzed in detail subject to solid and electrolyte phase concentration constraints, as well as temperature constraints. The optimization scheme is examined using different input current bounds, and an insight on battery design for fast charging is provided. Experimental results are provided to compare the tradeoffs between an electrochemical-thermal model based optimal charge protocol and a traditional charge protocol. Chapter 5: Fast and safe charging protocols are crucial for enhancing the practicality of batteries, especially for mobile applications such as smartphones and electric vehicles. This chapter proposes an innovative approach to devising optimally health-conscious fast-safe charge protocols. A multi-objective optimal control problem is mathematically formulated via a coupled electro-thermal-aging battery model, where electrical and aging sub-models depend upon the core temperature captured by a two-state thermal sub-model. The Legendre-Gauss-Radau (LGR) pseudo-spectral method with adaptive multi-mesh-interval collocation is employed to solve the resulting highly nonlinear six-state optimal control problem. Charge time and health degradation are therefore optimally traded off, subject to both electrical and thermal constraints. Minimum-time, minimum-aging, and balanced charge scenarios are examined in detail. Sensitivities to the upper voltage bound, ambient temperature, and cooling convection resistance are investigated as well. Experimental results are provided to compare the tradeoffs between a balanced and traditional charge protocol. Chapter 6: This chapter provides concluding remarks on the findings of this dissertation and a discussion of future work.

Effect of Sexual Counseling on Marital Satisfaction of Pregnant Women Referring to Health Centers in Malayer (Iran): An educational randomized experimental study

PubMed Central

Masoumi, Seyedeh Zahra; Kazemi, Farideh; Nejati, Behnaz; Parsa, Parisa; Karami, Manoochehr

2017-01-01

Introduction One of the most important factors in marital satisfaction is the satisfaction of a healthy sexual relationship between spouses. During pregnancy marital satisfaction may decrease due to sexual problems. Sexual counseling to pregnant women may reduce the complications of these problems at this time. This study aimed to investigate the effects of sexual counseling on marital satisfaction of pregnant women. This article is sponsored by the Hamadan University of Medical Sciences. Methods This educational randomized experimental study was conducted on 80 pregnant women referring to health centers of Malayer. Samples were two groups of experimental and control, with forty participants in each group, four consultation sessions were held, and each session lasted 40 to 90 minutes Data gathering tools were demographic questionnaire and Enriching Relationship Issues Communication and Happiness (ENRICH), a short form of marital satisfaction questionnaire with 47 items. Data were analyzed by Software SPSS 22 and the results were compared by independent t-test, chi-square test, and repeated measure ANOVA. Results Comparing the marital satisfaction mean scores in the experimental group showed a significant difference between pre-consultation, and the consultation after two and four weeks. Marital satisfaction score of 8.05 ± 51.20 before the consultation was increased to 7.76 ± 54.52 after two weeks and 6.48 ± 59.20 after four weeks (respectively p < 0.001, p < 0.001). In addition, mean and standard deviation of marital satisfaction in the control group before the intervention, two weeks and four weeks after the intervention were respectively 10.10 ± 45.67, 11.75 ± 47.75, and 10.02 ± 46.30 and Bonferroni post hoc test showed a significant difference between before and two weeks after intervention (p = 0.03). However, marital satisfaction before and four weeks after the intervention was not significant (p = 0.59). The results showed that sexual counseling was associated with marital satisfaction and was effective in its promotion. Conclusion Sexual counseling can be used as a method of intervention in sexual relationship of spouses particularly in marital dissatisfaction. PMID:28243412

Effect of Sexual Counseling on Marital Satisfaction of Pregnant Women Referring to Health Centers in Malayer (Iran): An educational randomized experimental study.

PubMed

Masoumi, Seyedeh Zahra; Kazemi, Farideh; Nejati, Behnaz; Parsa, Parisa; Karami, Manoochehr

2017-01-01

One of the most important factors in marital satisfaction is the satisfaction of a healthy sexual relationship between spouses. During pregnancy marital satisfaction may decrease due to sexual problems. Sexual counseling to pregnant women may reduce the complications of these problems at this time. This study aimed to investigate the effects of sexual counseling on marital satisfaction of pregnant women. This article is sponsored by the Hamadan University of Medical Sciences. This educational randomized experimental study was conducted on 80 pregnant women referring to health centers of Malayer. Samples were two groups of experimental and control, with forty participants in each group, four consultation sessions were held, and each session lasted 40 to 90 minutes Data gathering tools were demographic questionnaire and Enriching Relationship Issues Communication and Happiness (ENRICH), a short form of marital satisfaction questionnaire with 47 items. Data were analyzed by Software SPSS 22 and the results were compared by independent t-test, chi-square test, and repeated measure ANOVA. Comparing the marital satisfaction mean scores in the experimental group showed a significant difference between pre-consultation, and the consultation after two and four weeks. Marital satisfaction score of 8.05 ± 51.20 before the consultation was increased to 7.76 ± 54.52 after two weeks and 6.48 ± 59.20 after four weeks (respectively p < 0.001, p < 0.001). In addition, mean and standard deviation of marital satisfaction in the control group before the intervention, two weeks and four weeks after the intervention were respectively 10.10 ± 45.67, 11.75 ± 47.75, and 10.02 ± 46.30 and Bonferroni post hoc test showed a significant difference between before and two weeks after intervention (p = 0.03). However, marital satisfaction before and four weeks after the intervention was not significant (p = 0.59). The results showed that sexual counseling was associated with marital satisfaction and was effective in its promotion. Sexual counseling can be used as a method of intervention in sexual relationship of spouses particularly in marital dissatisfaction.

Caring for inpatient boarders in the emergency department: improving safety and patient and staff satisfaction.

PubMed

Bornemann-Shepherd, Melanie; Le-Lazar, Jamie; Makic, Mary Beth Flynn; DeVine, Deborah; McDevitt, Kelly; Paul, Marcee

2015-01-01

Hospital capacity constraints lead to large numbers of inpatients being held for extended periods in the emergency department. This creates concerns with safety, quality of care, and dissatisfaction of patients and staff. The aim of this quality-improvement project was to improve satisfaction and processes in which nurses provided care to inpatient boarders held in the emergency department. A quality-improvement project framework that included the use of a questionnaire was used to ascertain employee and patient dissatisfaction and identify opportunities for improvement. A task force was created to develop action plans related to holding and caring for inpatients in the emergency department. A questionnaire was sent to nursing staff in spring 2012, and responses from the questionnaire identified improvements that could be implemented to improve care for inpatient boarders. Situation-background-assessment-recommendation (SBAR) communications and direct observations were also used to identify specific improvements. Post-questionnaire results indicated improved satisfaction for both staff and patients. It was recognized early that the ED inpatient area would benefit from the supervision of an inpatient director, managers, and staff. Outcomes showed that creating an inpatient unit within the emergency department had a positive effect on staff and patient satisfaction. Copyright © 2015 Emergency Nurses Association. Published by Elsevier Inc. All rights reserved.

Romantic Relationship Satisfaction Moderates the Etiology of Adult Personality.

PubMed

South, Susan C; Krueger, Robert F; Elkins, Irene J; Iacono, William G; McGue, Matt

2016-01-01

The heritability of major normative domains of personality is well-established, with approximately half the proportion of variance attributed to genetic differences. In the current study, we examine the possibility of gene × environment interaction (G×E) for adult personality using the environmental context of intimate romantic relationship functioning. Personality and relationship satisfaction are significantly correlated phenotypically, but to date no research has examined how the genetic and environmental components of variance for personality differ as a function of romantic relationship satisfaction. Given the importance of personality for myriad outcomes from work productivity to psychopathology, it is vital to identify variables present in adulthood that may affect the etiology of personality. In the current study, quantitative models of G×E were used to determine whether the genetic and environmental influences on personality differ as a function of relationship satisfaction. We drew from a sample of now-adult twins followed longitudinally from adolescence through age 29. All participants completed the Multidimensional Personality Questionnaire (MPQ) and an abbreviated version of the Dyadic Adjustment Scale. Biometric moderation was found for eight of the eleven MPQ scales examined: well-being, social potency, negative emotionality, alienation, aggression, constraint, traditionalism, and absorption. The pattern of findings differed, suggesting that the ways in which relationship quality moderates the etiology of personality may depend on the personality trait.

Attributes of nursing work environment as predictors of registered nurses' job satisfaction and intention to leave.

PubMed

Choi, Sandy Pin-Pin; Cheung, Kin; Pang, Samantha Mei-Che

2013-04-01

To examine how front-line registered nurses' perception of their work environment associates with and predicts nurse outcomes in terms of job satisfaction and turnover intention. Mounting evidence has pointed to an inseparable link between attributes of the nursing work environment and nurse outcomes. However, there is a paucity of research examining nurses' perception of their work environment beyond the Western context. This cross-sectional survey involved 1271 registered nurses working in 135 inpatient units in 10 public hospitals in Hong Kong. The instrument comprised items developed from in-depth interviews with front-line nurses that explored nurses' perception of their work environment. Factor analysis identified five dimensions (professionalism, co-worker relationship, management, staffing and resources, and ward practice) of the nursing work environment. Logistic regression analysis further identified professionalism, management and ward practice as significant factors in predicting nurses' turnover intention, and staffing and resources as an additional factor in predicting their job satisfaction. Attributes of the nursing work environment have a significant bearing on nurses' job satisfaction and intention to leave. Managerial effort should focus on improving nurses' work conditions through detailed resource planning, effective management and removal of work constraints that affect nursing practice. © 2012 Blackwell Publishing Ltd.

Assessment of patient satisfaction of the quality of health care provided by outpatient services of an oncology hospital.

PubMed

Pini, Anastasia; Sarafis, Pavlos; Malliarou, Maria; Tsounis, Andreas; Igoumenidis, Michael; Bamidis, Panagiotis; Niakas, Dimitris

2014-06-12

The purpose of this research is to investigate the patient's satisfaction (patient's satisfaction) with medical services provided in Outpatients' Departments of a Greek Anti-Cancer Hospital in morning and afternoon clinics. The assessment of patients and identification of factors that contribute to their satisfaction will highlight the organizational and operational problems of outpatient department and assist in finding solutions to upgrade the quality of services provided. For the collection of data, a questionnaire with closed answers in a five-point scale 'Likert' scale was used. The questions were related to demographics, social data users, and the overall service process in the outpatient Hospital. The sample consisted of 100 patients (RR: 76%) who visited the outpatient clinic in the morning or afternoon over a month long period of time. The results of our research showed that cancer patients reported a high satisfaction rate with the health services provided in outpatient department of Anti-Cancer Hospital. The highest reported levels of satisfaction were related to working with medical staff because of the special relationship of trust that patients develop with their physician. Some problems were noted during the morning shift by patients. Patients reported frustration over long waiting times to get an appointment, last minute appointments, lack of flexibility when making appointments and long waiting times before being examined by a doctor. No statistically significant relationship was found between overall satisfaction with demographics' and other factors, although the grading services seem to be affected by the health status of patients, education and sex.

Interior point techniques for LP and NLP

DOE Office of Scientific and Technical Information (OSTI.GOV)

Evtushenko, Y.

By using surjective mapping the initial constrained optimization problem is transformed to a problem in a new space with only equality constraints. For the numerical solution of the latter problem we use the generalized gradient-projection method and Newton`s method. After inverse transformation to the initial space we obtain the family of numerical methods for solving optimization problems with equality and inequality constraints. In the linear programming case after some simplification we obtain Dikin`s algorithm, affine scaling algorithm and generalized primal dual interior point linear programming algorithm.

PlanWorks: A Debugging Environment for Constraint Based Planning Systems

NASA Technical Reports Server (NTRS)

Daley, Patrick; Frank, Jeremy; Iatauro, Michael; McGann, Conor; Taylor, Will

2005-01-01

Numerous planning and scheduling systems employ underlying constraint reasoning systems. Debugging such systems involves the search for errors in model rules, constraint reasoning algorithms, search heuristics, and the problem instance (initial state and goals). In order to effectively find such problems, users must see why each state or action is in a plan by tracking causal chains back to part of the initial problem instance. They must be able to visualize complex relationships among many different entities and distinguish between those entities easily. For example, a variable can be in the scope of several constraints, as well as part of a state or activity in a plan; the activity can arise as a consequence of another activity and a model rule. Finally, they must be able to track each logical inference made during planning. We have developed PlanWorks, a comprehensive system for debugging constraint-based planning and scheduling systems. PlanWorks assumes a strong transaction model of the entire planning process, including adding and removing parts of the constraint network, variable assignment, and constraint propagation. A planner logs all transactions to a relational database that is tailored to support queries for of specialized views to display different forms of data (e.g. constraints, activities, resources, and causal links). PlanWorks was specifically developed for the Extensible Universal Remote Operations Planning Architecture (EUROPA(sub 2)) developed at NASA, but the underlying principles behind PlanWorks make it useful for many constraint-based planning systems. The paper is organized as follows. We first describe some fundamentals of EUROPA(sub 2). We then describe PlanWorks' principal components. We then discuss each component in detail, and then describe inter-component navigation features. We close with a discussion of how PlanWorks is used to find model flaws.

A continuous glucose monitoring and problem-solving intervention to change physical activity behavior in women with type 2 diabetes: a pilot study.

PubMed

Allen, Nancy; Whittemore, Robin; Melkus, Gail

2011-11-01

Diabetes technology has the potential to provide useful data for theory-based behavioral counseling. The aims of this study are to evaluate the feasibility, acceptability, and preliminary efficacy of a continuous glucose monitoring and problem-solving counseling intervention to change physical activity (PA) behavior in women with type 2 diabetes. Women (n=29) with type 2 diabetes were randomly assigned to one of two treatment conditions: continuous glucose counseling and problem-solving skills or continuous glucose monitoring counseling and general diabetes education. Feasibility data were obtained on intervention dose, implementation, and satisfaction. Preliminary efficacy data were collected at baseline and 12 weeks on the following measures: PA amount and intensity, diet, problem-solving skills, self-efficacy for PA, depression, hemogoloin A1c, weight, and blood pressure. Demographic and implementation variables were described using frequency distributions and summary statistics. Satisfaction data were analyzed using Wilcoxon rank. Differences between groups were analyzed using linear mixed-modeling. Women were mostly white/non-Latina with a mean age of 53 years, a 6.5-year history of diabetes, and suboptimal glycemic control. Continuous glucose monitoring plus problem-solving group participants had significantly greater problem-solving skills and had greater, although not statistically significant, dietary adherence, moderate activity minutes, weight loss, and higher intervention satisfaction pre- to post-intervention than did participants in the continuous glucose monitoring plus education group. A continuous glucose monitoring plus problem-solving intervention was feasible and acceptable, and participants had greater problem-solving skills than continuous glucose monitoring plus education group participants.

Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints.

PubMed

Fiedler, Anna; Raeth, Sebastian; Theis, Fabian J; Hausser, Angelika; Hasenauer, Jan

2016-08-22

Ordinary differential equation (ODE) models are widely used to describe (bio-)chemical and biological processes. To enhance the predictive power of these models, their unknown parameters are estimated from experimental data. These experimental data are mostly collected in perturbation experiments, in which the processes are pushed out of steady state by applying a stimulus. The information that the initial condition is a steady state of the unperturbed process provides valuable information, as it restricts the dynamics of the process and thereby the parameters. However, implementing steady-state constraints in the optimization often results in convergence problems. In this manuscript, we propose two new methods for solving optimization problems with steady-state constraints. The first method exploits ideas from optimization algorithms on manifolds and introduces a retraction operator, essentially reducing the dimension of the optimization problem. The second method is based on the continuous analogue of the optimization problem. This continuous analogue is an ODE whose equilibrium points are the optima of the constrained optimization problem. This equivalence enables the use of adaptive numerical methods for solving optimization problems with steady-state constraints. Both methods are tailored to the problem structure and exploit the local geometry of the steady-state manifold and its stability properties. A parameterization of the steady-state manifold is not required. The efficiency and reliability of the proposed methods is evaluated using one toy example and two applications. The first application example uses published data while the second uses a novel dataset for Raf/MEK/ERK signaling. The proposed methods demonstrated better convergence properties than state-of-the-art methods employed in systems and computational biology. Furthermore, the average computation time per converged start is significantly lower. In addition to the theoretical results, the analysis of the dataset for Raf/MEK/ERK signaling provides novel biological insights regarding the existence of feedback regulation. Many optimization problems considered in systems and computational biology are subject to steady-state constraints. While most optimization methods have convergence problems if these steady-state constraints are highly nonlinear, the methods presented recover the convergence properties of optimizers which can exploit an analytical expression for the parameter-dependent steady state. This renders them an excellent alternative to methods which are currently employed in systems and computational biology.

Constraints on Stress Components at the Internal Singular Point of an Elastic Compound Structure

NASA Astrophysics Data System (ADS)

Pestrenin, V. M.; Pestrenina, I. V.

2017-03-01

The classical analytical and numerical methods for investigating the stress-strain state (SSS) in the vicinity of a singular point consider the point as a mathematical one (having no linear dimensions). The reliability of the solution obtained by such methods is valid only outside a small vicinity of the singular point, because the macroscopic equations become incorrect and microscopic ones have to be used to describe the SSS in this vicinity. Also, it is impossible to set constraint or to formulate solutions in stress-strain terms for a mathematical point. These problems do not arise if the singular point is identified with the representative volume of material of the structure studied. In authors' opinion, this approach is consistent with the postulates of continuum mechanics. In this case, the formulation of constraints at a singular point and their investigation becomes an independent problem of mechanics for bodies with singularities. This method was used to explore constraints at an internal singular point (representative volume) of a compound wedge and a compound rib. It is shown that, in addition to the constraints given in the classical approach, there are also constraints depending on the macroscopic parameters of constituent materials. These constraints turn the problems of deformable bodies with an internal singular point into nonclassical ones. Combinations of material parameters determine the number of additional constraints and the critical stress state at the singular point. Results of this research can be used in the mechanics of composite materials and fracture mechanics and in studying stress concentrations in composite structural elements.

Proposal of Constraints Analysis Method Based on Network Model for Task Planning

NASA Astrophysics Data System (ADS)

Tomiyama, Tomoe; Sato, Tatsuhiro; Morita, Toyohisa; Sasaki, Toshiro

Deregulation has been accelerating several activities toward reengineering business processes, such as railway through service and modal shift in logistics. Making those activities successful, business entities have to regulate new business rules or know-how (we call them ‘constraints’). According to the new constraints, they need to manage business resources such as instruments, materials, workers and so on. In this paper, we propose a constraint analysis method to define constraints for task planning of the new business processes. To visualize each constraint's influence on planning, we propose a network model which represents allocation relations between tasks and resources. The network can also represent task ordering relations and resource grouping relations. The proposed method formalizes the way of defining constraints manually as repeatedly checking the network structure and finding conflicts between constraints. Being applied to crew scheduling problems shows that the method can adequately represent and define constraints of some task planning problems with the following fundamental features, (1) specifying work pattern to some resources, (2) restricting the number of resources for some works, (3) requiring multiple resources for some works, (4) prior allocation of some resources to some works and (5) considering the workload balance between resources.

An experimental investigation of justice-based service recovery on customer satisfaction, loyalty, and word-of-mouth intentions.

PubMed

Shapiro, Terri; Nieman-Gonder, Jennifer M; Andreoli, Nicole A; Trimarco-Beta, Darlene

2006-12-01

Service recovery is related to many important organizational outcomes such as customer satisfaction, loyalty, and profitability. Within the theoretical framework of organizational justice, an experiment using a simulated "live" service failure was used to assess the effects of justice-based service-recovery strategies on customer satisfaction, loyalty, positive word-of-mouth intentions, and negative word-of-mouth intentions. Analysis indicated that strategies including interactional justice, distributive justice, and a combination of these were equally effective in maintaining customer satisfaction, loyalty, and positive word of mouth, and minimizing negative word of mouth after a service failure. No support for the service recovery paradox, that is, increased satisfaction following service failure and recovery compared to never having a problem, was found. Satisfaction and loyalty for those in the failure conditions were equal to, although not higher than, in the no-failure control condition. Practical implications for organizational practices are discussed.

[Satisfaction and perceived quality of people insured by the Social Health Protection in Mexico. Methodological foundations].

PubMed

Saturno-Hernández, Pedro J; Gutiérrez-Reyes, Juan Pablo; Vieyra-Romero, Waldo Ivan; Romero-Martínez, Martín; O'Shea-Cuevas, Gabriel Jaime; Lozano-Herrera, Javier; Tavera-Martínez, Sonia; Hernández-Ávila, Mauricio

2016-01-01

To describe the conceptual framework and methods for implementation and analysis of the satisfaction survey of the Mexican System for Social Protection in Health. We analyze the methodological elements of the 2013, 2014 and 2015 surveys, including the instrument, sampling method and study design, conceptual framework, and characteristics and indicators of the analysis. The survey captures information on perceived quality and satisfaction. Sampling has national and State representation. Simple and composite indicators (index of satisfaction and rate of reported quality problems) are built and described. The analysis is completed using Pareto diagrams, correlation between indicators and association with satisfaction by means of multivariate models. The measurement of satisfaction and perceived quality is a complex but necessary process to comply with regulations and to identify strategies for improvement. The described survey presents a design and rigorous analysis focused on its utility for improving.

Communication and relationship satisfaction in Chinese, Western, and intercultural Chinese-Western couples.

PubMed

Hiew, Danika N; Halford, W Kim; van de Vijver, Fons J R; Liu, Shuang

2016-03-01

The current study compared Chinese, Western, and intercultural Chinese-Western couples' communication and examined how culture moderates the association of communication with relationship satisfaction. We coded the communication of 33 Western couples, 36 Chinese couples, and 54 intercultural Chinese-Western couples when discussing a relationship problem and when reminiscing about positive relationship events. Couples with Chinese female partners showed fewer positive behaviors and more negative behaviors (as classified in existing Western coding systems) than couples with Western female partners. The male partner's culture had few associations with couples' rates of communication behavior. Relationship satisfaction was associated with low rates of negative behaviors and high rates of most of the positive behaviors across cultural groups, and these associations were more evident in problem discussions than positive reminiscences. (c) 2016 APA, all rights reserved).

Parental Depression, Overreactive Parenting, and Early Childhood Externalizing Problems: Moderation by Social Support.

PubMed

Taraban, Lindsay; Shaw, Daniel S; Leve, Leslie D; Natsuaki, Misaki N; Ganiban, Jody M; Reiss, David; Neiderhiser, Jenae M

2018-02-20

This study used a large (N = 519), longitudinal sample of adoptive families to test overreactive parenting as a mediator of associations between parental depressive symptoms and early childhood externalizing, and parents' social support satisfaction as a moderator. Maternal parenting (18 months) mediated the association between maternal depressive symptoms (9 months) and child externalizing problems (27 months). Paternal parenting was not a significant mediator. Unexpectedly, we found a cross-over effect for the moderating role of social support satisfaction, such that partners' social support satisfaction reduced the strength of the association between each parent's own depressive symptoms and overreactive parenting. Results point to the importance of accounting for broader family context in predicting early childhood parenting and child outcomes. © 2018 The Authors. Child Development © 2018 Society for Research in Child Development, Inc.

An optimal consumption and investment problem with quadratic utility and negative wealth constraints.

PubMed

Roh, Kum-Hwan; Kim, Ji Yeoun; Shin, Yong Hyun

2017-01-01

In this paper, we investigate the optimal consumption and portfolio selection problem with negative wealth constraints for an economic agent who has a quadratic utility function of consumption and receives a constant labor income. Due to the property of the quadratic utility function, we separate our problem into two cases and derive the closed-form solutions for each case. We also illustrate some numerical implications of the optimal consumption and portfolio.

Pragmatic model of patient satisfaction in general practice: progress towards a theory.

PubMed Central

Baker, R

1997-01-01

A major problem in the measurement of patient satisfaction is the lack of an adequate theory to explain the meaning of satisfaction, and hence how it should be measured and how the findings are interpreted. Because of the lack of a fully developed theory, when developing patient satisfaction questionnaires for use in general practice, a simple model was used. This model was pragmatic in that it linked together empirical evidence about patient satisfaction without recourse to more general social or psychological theory of behaviour, other than to define satisfaction as an attitude. Several studies with the questionnaires confirm in general the components of the model. However, the importance of personal care had not been sufficiently emphasised, and therefore the model has been revised. It can now serve as a basis for future research into patient satisfaction, in particular as a stimulus for investigating the links between components of the model and underlying psychological or other behavioural theories. PMID:10177036

Using Grey Wolf Algorithm to Solve the Capacitated Vehicle Routing Problem

NASA Astrophysics Data System (ADS)

Korayem, L.; Khorsid, M.; Kassem, S. S.

2015-05-01

The capacitated vehicle routing problem (CVRP) is a class of the vehicle routing problems (VRPs). In CVRP a set of identical vehicles having fixed capacities are required to fulfill customers' demands for a single commodity. The main objective is to minimize the total cost or distance traveled by the vehicles while satisfying a number of constraints, such as: the capacity constraint of each vehicle, logical flow constraints, etc. One of the methods employed in solving the CVRP is the cluster-first route-second method. It is a technique based on grouping of customers into a number of clusters, where each cluster is served by one vehicle. Once clusters are formed, a route determining the best sequence to visit customers is established within each cluster. The recently bio-inspired grey wolf optimizer (GWO), introduced in 2014, has proven to be efficient in solving unconstrained, as well as, constrained optimization problems. In the current research, our main contributions are: combining GWO with the traditional K-means clustering algorithm to generate the ‘K-GWO’ algorithm, deriving a capacitated version of the K-GWO algorithm by incorporating a capacity constraint into the aforementioned algorithm, and finally, developing 2 new clustering heuristics. The resulting algorithm is used in the clustering phase of the cluster-first route-second method to solve the CVR problem. The algorithm is tested on a number of benchmark problems with encouraging results.

Impact of Relational Coordination on Nurse Job Satisfaction, Work Engagement and Burnout: Achieving the Quadruple Aim.

PubMed

Havens, Donna Sullivan; Gittell, Jody Hoffer; Vasey, Joseph

2018-03-01

To explore how relational coordination, known to enhance quality and efficiency outcomes for patients and hospitals, impacts direct care nurse outcomes such as burnout, work engagement, and job satisfaction, addressing the "Quadruple Aim," to improve the experience of providing care. Hospitals are complex organizations in which multiple providers work interdependently, under conditions of uncertainty and time constraints, to deliver safe quality care despite differences in specialization, training, and status. Relational coordination-communicating and relating for the purpose of task integration-is known to improve quality, safety, and efficiency under these conditions, but less is known about its impact on the well-being of direct care providers themselves. Surveys measuring relational coordination among nurses and other types of providers as well as job-related outcomes in 5 acute care community hospitals were completed by direct care RNs. Relational coordination was significantly related to increased job satisfaction, increased work engagement, and reduced burnout. Relational coordination contributes to the well-being of direct care nurses, addressing the Quadruple Aim by improving the experience of providing care.

Quadratic constrained mixed discrete optimization with an adiabatic quantum optimizer

NASA Astrophysics Data System (ADS)

Chandra, Rishabh; Jacobson, N. Tobias; Moussa, Jonathan E.; Frankel, Steven H.; Kais, Sabre

2014-07-01

We extend the family of problems that may be implemented on an adiabatic quantum optimizer (AQO). When a quadratic optimization problem has at least one set of discrete controls and the constraints are linear, we call this a quadratic constrained mixed discrete optimization (QCMDO) problem. QCMDO problems are NP-hard, and no efficient classical algorithm for their solution is known. Included in the class of QCMDO problems are combinatorial optimization problems constrained by a linear partial differential equation (PDE) or system of linear PDEs. An essential complication commonly encountered in solving this type of problem is that the linear constraint may introduce many intermediate continuous variables into the optimization while the computational cost grows exponentially with problem size. We resolve this difficulty by developing a constructive mapping from QCMDO to quadratic unconstrained binary optimization (QUBO) such that the size of the QUBO problem depends only on the number of discrete control variables. With a suitable embedding, taking into account the physical constraints of the realizable coupling graph, the resulting QUBO problem can be implemented on an existing AQO. The mapping itself is efficient, scaling cubically with the number of continuous variables in the general case and linearly in the PDE case if an efficient preconditioner is available.

Perceived social support and life satisfaction in persons with somatization disorder

PubMed Central

Ali, Arif; Deuri, S. P.; Deuri, S. K.; Jahan, Masroor; Singh, Amool R.; Verma, A. N.

2010-01-01

Background: Life satisfaction and perceived social support been shown to improve the well-being of a person and also affect the outcome of treatment in somatization disorder. The phenomenon of somatization was explored in relation to the perceived social support and life satisfaction. Aim: This study aimed at investigating perceived social support and life satisfaction in people with somatization disorder. Materials and Methods: The study was conducted on persons having somatization disorder attending the outpatient unit of LGB Regional Institute of Mental Health, Tezpur, Assam. Satisfaction with life scale and multidimensional scale of perceived social support were used to assess life satisfaction and perceived social support respectively. Results: Women reported more somatic symptoms than men. Family perceived social support was high in the patient in comparison to significant others’ perceived social support and friends’ perceived social support. Perceived social support showed that a significant positive correlation was found with life satisfaction. Conclusion: Poor social support and low life satisfaction might be a stress response with regard to increased distress severity and psychosocial stressors rather than a cultural response to express psychological problems in somatic terms. PMID:22174534

Using a Multidimensional Measure of Resilience to Explain Life Satisfaction and Academic Achievement of Adults With Reading Difficulties.

PubMed

Stack-Cutler, Holly L; Parrila, Rauno K; Torppa, Minna

2015-01-01

We assessed the impact of intrapersonal and interpersonal resilience, persistence, and number of difficulties in addition to reading problems on life satisfaction (general, social, and self) and academic achievement. A total of 120 adults with reading difficulties who either were completing a university degree or were recent graduates responded to an in-lab or online survey. Results indicated that intrapersonal resilience correlated positively with interpersonal resilience and persistence, and both resilience factors were negatively associated with number of difficulties. Using structural equation modeling, intrapersonal resilience explained general satisfaction, intrapersonal resilience and number of difficulties explained self satisfaction, and interpersonal resilience explained social satisfaction. Academic achievement did not correlate with any of the included variables. © Hammill Institute on Disabilities 2014.

To Stay or Not to Stay: Non-Combatant Evacuation Operations and Their Impact on Host Nation/Regional Stability

DTIC Science & Technology

2014-06-13

School in partial satisfaction of the requirements of a Master of Science Degree in Joint Campaign Planning and Strategy. The contents of this...conflicted claims. Japan, Taiwan, Vietnam, Malaysia , Philippines and Brunei have continued to assert their territorial claims which have resulted in...In the United States, budget constraints and sequestration avoidance remain a concern as the administration and Congress manage the budget

Service score segmentation of diverse populations to improve patient and physician satisfaction- a multicase quality improvement study.

PubMed

Newhouse, David

2009-01-01

The changing demographics in the country require new strategies for providing culturally competent care. The Northern California Region Member Patient Survey provides detailed information for the clinician when the data is segmented into subsets by age, gender, and race/ethnicity. Any gaps identified allow for the clinician to focus on key areas for improvement in an efficient manner respecting the time constraints of a busy practice.

Role of Outsourcing in Stress and Job Satisfaction of Information Technology Professionals

ERIC Educational Resources Information Center

Robinson, Janell R.

2016-01-01

Information technology (IT) outsourcing poses a potential job loss threat to IT professionals, which can decrease job security, job satisfaction, and organizational commitment. The problem that this study addressed was the perceived role of IT outsourcing in the job stress, job dissatisfaction, and turnover intention of IT professionals. The…

The Predictive Value of Teachers' Perception of Organizational Justice on Job Satisfaction

ERIC Educational Resources Information Center

Elma, Cevat

2013-01-01

Problem Statement: For individuals and organizations alike there has been a recent upsurge in significance of employees' perceptions toward their work and their job satisfaction. The concept of organizational justice has evolved to include almost all aspects of organizational life, particularly employees' attitudes toward work. While a significant…

Targeting Rural Students with Distance Learning Courses: A Comparative Study of Determinant Attributes and Satisfaction Levels.

ERIC Educational Resources Information Center

Phillips, Melodie R.; Peters, Mary Jane

1999-01-01

A marketing course attended by 65 on-campus students and 30 accessing it via interactive video resulted in no differences in student satisfaction. Onsite students had more problems with instructor accessibility than did offsite students, possibly because instructors overcompensated to avoid isolation of the distant learners. (SK)

Survey of Working Conditions. Final Report on Univariate and Bivariate Tables.

ERIC Educational Resources Information Center

Michigan Univ., Ann Arbor. Survey Research Center.

A nationwide survey of employed persons was conducted to provide information on labor standards problems, assess the impact of working conditions on workers, develop job satisfaction measures, and establish statistics for similar data collections. The survey revealed that the majority of workers expressed satisfaction with their jobs but they also…

Teachers' Withdrawal Behaviors and Their Relationship with Work Ethic

ERIC Educational Resources Information Center

Erdemli, Özge

2015-01-01

Problem Situation: People experience ups and downs in their job satisfaction and motivation levels at different points of their work lives for various reasons. One of the outputs of low job satisfaction and motivation is defined as "withdrawal behaviors" in the literature. Withdrawal behaviors are any employee behavior of withdrawal from…

Contact Disturbances, Self-Esteem and Life Satisfaction of University Students: A Structural Equation Modelling Study

ERIC Educational Resources Information Center

Tagay, Özlem

2015-01-01

Problem Statement: A literature analysis revealed that contact disturbances, self-esteem and life satisfaction have been examined in different studies separately. In particular, the researchers observed that the studies conducted on Gestalt contact disturbances are limited in number. In this study, the variables of contact disturbances,…

Information Technology Manager's Perspective on Experiences with Service Quality and Customer Satisfaction: A Phenomenology Study

ERIC Educational Resources Information Center

Porter, Sherry A.

2016-01-01

The general problem was that, in the competitive telecommunications industry, information technology service providers have to develop ways to improve on customer satisfaction and service quality during service disruptions to meet service level agreements. A descriptive phenomenological study was used to explore the lived experiences and…

The Relationship between Teachers' Job Satisfaction and Loneliness at the Workplace

ERIC Educational Resources Information Center

Tabancali, Erkan

2016-01-01

Problem Statement: Emotional circumstances of the teachers are one of the most significant variables that determine their professional efforts and performance. In this context, some the research has shown that teachers' job satisfaction and loneliness at the school both have unique aspects. Gradually raising interest on loneliness and job…

A Linear Programming Approach to Routing Control in Networks of Constrained Nonlinear Positive Systems with Concave Flow Rates

NASA Technical Reports Server (NTRS)

Arneson, Heather M.; Dousse, Nicholas; Langbort, Cedric

2014-01-01

We consider control design for positive compartmental systems in which each compartment's outflow rate is described by a concave function of the amount of material in the compartment.We address the problem of determining the routing of material between compartments to satisfy time-varying state constraints while ensuring that material reaches its intended destination over a finite time horizon. We give sufficient conditions for the existence of a time-varying state-dependent routing strategy which ensures that the closed-loop system satisfies basic network properties of positivity, conservation and interconnection while ensuring that capacity constraints are satisfied, when possible, or adjusted if a solution cannot be found. These conditions are formulated as a linear programming problem. Instances of this linear programming problem can be solved iteratively to generate a solution to the finite horizon routing problem. Results are given for the application of this control design method to an example problem. Key words: linear programming; control of networks; positive systems; controller constraints and structure.

Stochastic Computations in Cortical Microcircuit Models

PubMed Central

Maass, Wolfgang

2013-01-01

Experimental data from neuroscience suggest that a substantial amount of knowledge is stored in the brain in the form of probability distributions over network states and trajectories of network states. We provide a theoretical foundation for this hypothesis by showing that even very detailed models for cortical microcircuits, with data-based diverse nonlinear neurons and synapses, have a stationary distribution of network states and trajectories of network states to which they converge exponentially fast from any initial state. We demonstrate that this convergence holds in spite of the non-reversibility of the stochastic dynamics of cortical microcircuits. We further show that, in the presence of background network oscillations, separate stationary distributions emerge for different phases of the oscillation, in accordance with experimentally reported phase-specific codes. We complement these theoretical results by computer simulations that investigate resulting computation times for typical probabilistic inference tasks on these internally stored distributions, such as marginalization or marginal maximum-a-posteriori estimation. Furthermore, we show that the inherent stochastic dynamics of generic cortical microcircuits enables them to quickly generate approximate solutions to difficult constraint satisfaction problems, where stored knowledge and current inputs jointly constrain possible solutions. This provides a powerful new computing paradigm for networks of spiking neurons, that also throws new light on how networks of neurons in the brain could carry out complex computational tasks such as prediction, imagination, memory recall and problem solving. PMID:24244126

Effective follow-up consultations: the importance of patient-centered communication and shared decision making.

PubMed

Brand, Paul L P; Stiggelbout, Anne M

2013-12-01

Paediatricians spend a considerable proportion of their time performing follow-up visits for children with chronic conditions, but they rarely receive specific training on how best to perform such consultations. The traditional method of running a follow-up consultation is based on the doctor's agenda, and is problem-oriented. Patients and parents, however, prefer a patient-centered, and solution-focused approach. Although many physicians now recognize the importance of addressing the patient's perspective in a follow-up consultation, a number of barriers hamper its implementation in practice, including time constraints, lack of appropriate training, and a strong tradition of the biomedical, doctor-centered approach. Addressing the patient's perspective successfully can be achieved through shared decision making, clinicians and patients making decisions together based on the best clinical evidence. Research shows that shared decision making not only increases patient, parent, and physician satisfaction with the consultation, but also may improve health outcomes. Shared decision making involves building a physician-patient-parent partnership, agreeing on the problem at hand, laying out the available options with their benefits and risks, eliciting the patient's views and preferences on these options, and agreeing on a course of action. Shared decision making requires specific communication skills, which can be learned, and should be mastered through deliberate practice. Copyright © 2013 Elsevier Ltd. All rights reserved.

Drug-Related-Problem Outcomes and Program Satisfaction from a Comprehensive Brown Bag Medication Review.

PubMed

O'Connell, Mary Beth; Chang, Feng; Tocco, Ashley; Mills, Megan E; Hwang, Jamie M; Garwood, Candice L; Khreizat, Hanan S; Gupta, Nishi S

2015-09-01

To classify and quantify drug-related problems (DRPs), determine acceptance of DRP recommendations, and assess medication review satisfaction. Comprehensive brown bag medication reviews. Six senior centers and three senior high-rises. Individuals aged 60 and older (mean age 75.9 ± 8.5) taking five or more medications (n = 85). Two investigators independently classified DRPs using modified Pharmaceutical Care Network Europe classification scheme and severity of medication error and value of service scales. Two other investigators adjudicated classification differences. Satisfaction surveys were administered immediately and 3 months after review. A DRP recommendation implementation survey was completed at least 3 months after the review. Participants had a mean of 4.3 ± 2.8 DRPs (range 0-10). DRPs were classified as adverse reactions (30%), treatment effectiveness (28%), treatment costs (13%), information need (8%), and other (21%). Causes included drug selection (40%), wrong dosage (23%), participant problems (e.g., adherence, lack of medication knowledge, 16%), drug use process problems (12%), drug formulation (0.5%), treatment duration (0.5%), and other (7%). Interventions required drug changes (44%), prescriber input (37%), individual counseling (18%), or other (1%). DRP severities were significant (59%) or minor (35%). Participants expressed satisfaction with the program because they were able to ask questions, trusted the answers, and knew more about their medications. After 3 months, they had implemented 63% of the DRP recommendations. Older adults found the medication review helpful and implemented 63% of the DRP recommendations. © 2015, Copyright the Authors Journal compilation © 2015, The American Geriatrics Society.

$L^1$ penalization of volumetric dose objectives in optimal control of PDEs

DOE PAGES

Barnard, Richard C.; Clason, Christian

2017-02-11

This work is concerned with a class of PDE-constrained optimization problems that are motivated by an application in radiotherapy treatment planning. Here the primary design objective is to minimize the volume where a functional of the state violates a prescribed level, but prescribing these levels in the form of pointwise state constraints leads to infeasible problems. We therefore propose an alternative approach based on L 1 penalization of the violation that is also applicable when state constraints are infeasible. We establish well-posedness of the corresponding optimal control problem, derive first-order optimality conditions, discuss convergence of minimizers as the penalty parametermore » tends to infinity, and present a semismooth Newton method for their efficient numerical solution. Finally, the performance of this method for a model problem is illustrated and contrasted with an alternative approach based on (regularized) state constraints.« less

Fleet Assignment Using Collective Intelligence

NASA Technical Reports Server (NTRS)

Antoine, Nicolas E.; Bieniawski, Stefan R.; Kroo, Ilan M.; Wolpert, David H.

2004-01-01

Product distribution theory is a new collective intelligence-based framework for analyzing and controlling distributed systems. Its usefulness in distributed stochastic optimization is illustrated here through an airline fleet assignment problem. This problem involves the allocation of aircraft to a set of flights legs in order to meet passenger demand, while satisfying a variety of linear and non-linear constraints. Over the course of the day, the routing of each aircraft is determined in order to minimize the number of required flights for a given fleet. The associated flow continuity and aircraft count constraints have led researchers to focus on obtaining quasi-optimal solutions, especially at larger scales. In this paper, the authors propose the application of this new stochastic optimization algorithm to a non-linear objective cold start fleet assignment problem. Results show that the optimizer can successfully solve such highly-constrained problems (130 variables, 184 constraints).

A constraint optimization based virtual network mapping method

NASA Astrophysics Data System (ADS)

Li, Xiaoling; Guo, Changguo; Wang, Huaimin; Li, Zhendong; Yang, Zhiwen

2013-03-01

Virtual network mapping problem, maps different virtual networks onto the substrate network is an extremely challenging work. This paper proposes a constraint optimization based mapping method for solving virtual network mapping problem. This method divides the problem into two phases, node mapping phase and link mapping phase, which are all NP-hard problems. Node mapping algorithm and link mapping algorithm are proposed for solving node mapping phase and link mapping phase, respectively. Node mapping algorithm adopts the thinking of greedy algorithm, mainly considers two factors, available resources which are supplied by the nodes and distance between the nodes. Link mapping algorithm is based on the result of node mapping phase, adopts the thinking of distributed constraint optimization method, which can guarantee to obtain the optimal mapping with the minimum network cost. Finally, simulation experiments are used to validate the method, and results show that the method performs very well.

Reliability-based design optimization using a generalized subset simulation method and posterior approximation

NASA Astrophysics Data System (ADS)

Ma, Yuan-Zhuo; Li, Hong-Shuang; Yao, Wei-Xing

2018-05-01

The evaluation of the probabilistic constraints in reliability-based design optimization (RBDO) problems has always been significant and challenging work, which strongly affects the performance of RBDO methods. This article deals with RBDO problems using a recently developed generalized subset simulation (GSS) method and a posterior approximation approach. The posterior approximation approach is used to transform all the probabilistic constraints into ordinary constraints as in deterministic optimization. The assessment of multiple failure probabilities required by the posterior approximation approach is achieved by GSS in a single run at all supporting points, which are selected by a proper experimental design scheme combining Sobol' sequences and Bucher's design. Sequentially, the transformed deterministic design optimization problem can be solved by optimization algorithms, for example, the sequential quadratic programming method. Three optimization problems are used to demonstrate the efficiency and accuracy of the proposed method.

A Hybrid Constraint Representation and Reasoning Framework

NASA Technical Reports Server (NTRS)

Golden, Keith; Pang, Wanlin

2004-01-01

In this paper, we introduce JNET, a novel constraint representation and reasoning framework that supports procedural constraints and constraint attachments, providing a flexible way of integrating the constraint system with a runtime software environment and improving its applicability. We describe how JNET is applied to a real-world problem - NASA's Earth-science data processing domain, and demonstrate how JNET can be extended, without any knowledge of how it is implemented, to meet the growing demands of real-world applications.

Infinite horizon problems on stratifiable state-constraints sets

NASA Astrophysics Data System (ADS)

Hermosilla, C.; Zidani, H.

2015-02-01

This paper deals with a state-constrained control problem. It is well known that, unless some compatibility condition between constraints and dynamics holds, the Value Function has not enough regularity, or can fail to be the unique constrained viscosity solution of a Hamilton-Jacobi-Bellman (HJB) equation. Here, we consider the case of a set of constraints having a stratified structure. Under this circumstance, the interior of this set may be empty or disconnected, and the admissible trajectories may have the only option to stay on the boundary without possible approximation in the interior of the constraints. In such situations, the classical pointing qualification hypothesis is not relevant. The discontinuous Value Function is then characterized by means of a system of HJB equations on each stratum that composes the state-constraints. This result is obtained under a local controllability assumption which is required only on the strata where some chattering phenomena could occur.

Optimization techniques applied to spectrum management for communications satellites

NASA Astrophysics Data System (ADS)

Ottey, H. R.; Sullivan, T. M.; Zusman, F. S.

This paper describes user requirements, algorithms and software design features for the application of optimization techniques to the management of the geostationary orbit/spectrum resource. Relevant problems include parameter sensitivity analyses, frequency and orbit position assignment coordination, and orbit position allotment planning. It is shown how integer and nonlinear programming as well as heuristic search techniques can be used to solve these problems. Formalized mathematical objective functions that define the problems are presented. Constraint functions that impart the necessary solution bounds are described. A versatile program structure is outlined, which would allow problems to be solved in stages while varying the problem space, solution resolution, objective function and constraints.

The relationship between job satisfaction and health: a meta-analysis

PubMed Central

Faragher, E; Cass, M; Cooper, C

2005-01-01

Background: A vast number of published studies have suggested a link between job satisfaction levels and health. The sizes of the relationships reported vary widely. Narrative overviews of this relationship have been published, but no systematic meta-analysis review has been conducted. Methods: A systematic review and meta-analysis of 485 studies with a combined sample size of 267 995 individuals was conducted, evaluating the research evidence linking self-report measures of job satisfaction to measures of physical and mental wellbeing. Results: The overall correlation combined across all health measures was r = 0.312 (0.370 after Schmidt-Hunter adjustment). Job satisfaction was most strongly associated with mental/psychological problems; strongest relationships were found for burnout (corrected r = 0.478), self-esteem(r = 0.429), depression (r = 0.428), and anxiety(r = 0.420). The correlation with subjective physical illness was more modest (r = 0.287). Conclusions: Correlations in excess of 0.3 are rare in this context. The relationships found suggest that job satisfaction level is an important factor influencing the health of workers. Organisations should include the development of stress management policies to identify and eradicate work practices that cause most job dissatisfaction as part of any exercise aimed at improving employee health. Occupational health clinicians should consider counselling employees diagnosed as having psychological problems to critically evaluate their work—and help them to explore ways of gaining greater satisfaction from this important aspect of their life. PMID:15657192

Ethical sensitivity, burnout, and job satisfaction in emergency nurses.

PubMed

Palazoğlu, Cansu Atmaca; Koç, Zeliha

2017-01-01

Rising levels of burnout and decreasing job satisfaction can inhibit healthcare professionals from providing high-quality care due to a corresponding decrease in their ethical sensitivity. This study aimed to determine the relationship between the level of ethical sensitivity in emergency service nurses and their levels of burnout and job satisfaction. This research employed a descriptive and cross-sectional design. Participants and research context: This study was conducted with a sample of 236 nurses, all of whom worked in emergency service between 24 July 2015 and 28 April 2016. Data were collected using the Moral Sensitivity Questionnaire, Maslach Burnout Inventory, and Minnesota Job Satisfaction Scale. Ethical considerations: This study was approved by the Institutional Ethics Review Board of Ondokuz Mayıs University. There was a weak and negative correlation (r = -0.158, p = 0.015) between Moral Sensitivity Questionnaire and Maslach Burnout Inventory scores. There was also a weak and negative correlation (r = -0.335, p < 0.001) between the Maslach Burnout Inventory and Minnesota Job Satisfaction Scale scores. Decreased job satisfaction and increased burnout levels among emergency service nurses might result in them indulging in improper practices, frequently facing ethical problems, and a decrease in the overall quality of service in hospitals. In order for emergency service nurses to recognize ethical problems and make the most accurate decisions, a high level of ethical sensitivity is critical. In this respect, it is suggested that continuing education after graduation and training programs should be organized.

Relationship satisfaction in women: a longitudinal case-control study about the role of breast cancer, personal assertiveness, and partners' relationship-focused coping.

PubMed

Hinnen, Chris; Hagedoorn, Mariët; Ranchor, Adelita V; Sanderman, Robbert

2008-11-01

The aim of this study was to investigate whether a breast cancer diagnosis, personal assertiveness (i.e. frequency of assertive behaviour and tension associated with this behaviour), and partners' relationship-focused coping (i.e. active engagement and protective buffering) were sources of variation in patients' relationship satisfaction, cross-sectionally and over time. This longitudinal case-control study assessed the two dimensions of personal assertiveness and relationship satisfaction in both women with cancer (N=72) and comparison controls (N=62). In addition, patients completed a measure assessing their partners' active engagement and protective buffering. Cases (i.e. women with breast cancer) were not found to report more relationship problems than controls. Women with breast cancer who tended not to express their concerns and feelings and who experienced much tension when they did, reported relatively low marital satisfaction. Moreover, partners' protective buffering was associated with less relationship satisfaction in especially more assertive (i.e. high frequency of assertive behaviour and low tension) women with cancer, while active engagement was associated with more relationship satisfaction, regardless of the women's personal assertiveness. The results of the present study indicate that a breast cancer diagnosis by itself may not be a risk factor for relationship problems. However, in the context of an illness such as cancer, personal assertiveness, and a partner's relationship-focused coping strategies do seem to play a role in maintaining a satisfactory relationship with one's partner.

Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application

DOE PAGES

Delahaies, Sylvain; Roulstone, Ian; Nichols, Nancy

2017-07-10

We use a variational method to assimilate multiple data streams into the terrestrial ecosystem carbon cycle model DALECv2 (Data Assimilation Linked Ecosystem Carbon). Ecological and dynamical constraints have recently been introduced to constrain unresolved components of this otherwise ill-posed problem. We recast these constraints as a multivariate Gaussian distribution to incorporate them into the variational framework and we demonstrate their advantage through a linear analysis. By using an adjoint method we study a linear approximation of the inverse problem: firstly we perform a sensitivity analysis of the different outputs under consideration, and secondly we use the concept of resolution matricesmore » to diagnose the nature of the ill-posedness and evaluate regularisation strategies. We then study the non-linear problem with an application to real data. Finally, we propose a modification to the model: introducing a spin-up period provides us with a built-in formulation of some ecological constraints which facilitates the variational approach.« less

Constraint-based scheduling

NASA Technical Reports Server (NTRS)

Zweben, Monte

1991-01-01

The GERRY scheduling system developed by NASA Ames with assistance from the Lockheed Space Operations Company, and the Lockheed Artificial Intelligence Center, uses a method called constraint-based iterative repair. Using this technique, one encodes both hard rules and preference criteria into data structures called constraints. GERRY repeatedly attempts to improve schedules by seeking repairs for violated constraints. The system provides a general scheduling framework which is being tested on two NASA applications. The larger of the two is the Space Shuttle Ground Processing problem which entails the scheduling of all the inspection, repair, and maintenance tasks required to prepare the orbiter for flight. The other application involves power allocation for the NASA Ames wind tunnels. Here the system will be used to schedule wind tunnel tests with the goal of minimizing power costs. In this paper, we describe the GERRY system and its application to the Space Shuttle problem. We also speculate as to how the system would be used for manufacturing, transportation, and military problems.

Constraint-based scheduling

NASA Technical Reports Server (NTRS)

Zweben, Monte

1991-01-01

The GERRY scheduling system developed by NASA Ames with assistance from the Lockheed Space Operations Company, and the Lockheed Artificial Intelligence Center, uses a method called constraint based iterative repair. Using this technique, one encodes both hard rules and preference criteria into data structures called constraints. GERRY repeatedly attempts to improve schedules by seeking repairs for violated constraints. The system provides a general scheduling framework which is being tested on two NASA applications. The larger of the two is the Space Shuttle Ground Processing problem which entails the scheduling of all inspection, repair, and maintenance tasks required to prepare the orbiter for flight. The other application involves power allocations for the NASA Ames wind tunnels. Here the system will be used to schedule wind tunnel tests with the goal of minimizing power costs. In this paper, we describe the GERRY system and its applications to the Space Shuttle problem. We also speculate as to how the system would be used for manufacturing, transportation, and military problems.

Constraint-based scheduling

NASA Technical Reports Server (NTRS)

Zweben, Monte

1993-01-01

The GERRY scheduling system developed by NASA Ames with assistance from the Lockheed Space Operations Company, and the Lockheed Artificial Intelligence Center, uses a method called constraint-based iterative repair. Using this technique, one encodes both hard rules and preference criteria into data structures called constraints. GERRY repeatedly attempts to improve schedules by seeking repairs for violated constraints. The system provides a general scheduling framework which is being tested on two NASA applications. The larger of the two is the Space Shuttle Ground Processing problem which entails the scheduling of all the inspection, repair, and maintenance tasks required to prepare the orbiter for flight. The other application involves power allocation for the NASA Ames wind tunnels. Here the system will be used to schedule wind tunnel tests with the goal of minimizing power costs. In this paper, we describe the GERRY system and its application to the Space Shuttle problem. We also speculate as to how the system would be used for manufacturing, transportation, and military problems.

Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application

DOE Office of Scientific and Technical Information (OSTI.GOV)

Delahaies, Sylvain; Roulstone, Ian; Nichols, Nancy

We use a variational method to assimilate multiple data streams into the terrestrial ecosystem carbon cycle model DALECv2 (Data Assimilation Linked Ecosystem Carbon). Ecological and dynamical constraints have recently been introduced to constrain unresolved components of this otherwise ill-posed problem. We recast these constraints as a multivariate Gaussian distribution to incorporate them into the variational framework and we demonstrate their advantage through a linear analysis. By using an adjoint method we study a linear approximation of the inverse problem: firstly we perform a sensitivity analysis of the different outputs under consideration, and secondly we use the concept of resolution matricesmore » to diagnose the nature of the ill-posedness and evaluate regularisation strategies. We then study the non-linear problem with an application to real data. Finally, we propose a modification to the model: introducing a spin-up period provides us with a built-in formulation of some ecological constraints which facilitates the variational approach.« less

Constraint-Muse: A Soft-Constraint Based System for Music Therapy

NASA Astrophysics Data System (ADS)

Hölzl, Matthias; Denker, Grit; Meier, Max; Wirsing, Martin

Monoidal soft constraints are a versatile formalism for specifying and solving multi-criteria optimization problems with dynamically changing user preferences. We have developed a prototype tool for interactive music creation, called Constraint Muse, that uses monoidal soft constraints to ensure that a dynamically generated melody harmonizes with input from other sources. Constraint Muse provides an easy to use interface based on Nintendo Wii controllers and is intended to be used in music therapy for people with Parkinson’s disease and for children with high-functioning autism or Asperger’s syndrome.