Multi-system Model Research Articles

Research on time difference detection algorithm based on combination of GNSS and PPP

With the gradual increase in the number of GNSS systems and the improvement of functions, in addition to the single-system navigation and timing service, the integrated navigation and positioning service among multiple systems can provide users with more accurate and stable positioning results, arousing more attention from the workers in GNSS field. Compatibility and interoperability among different systems has become a trend in the development of GNSS. Compatibility and interoperability between systems require a uniform time scale. Therefore, the measurement and forecasting of time deviations in GNSS systems is particularly important. This paper first studies the multi-system fusion location model and proposes an adaptive GNSS fusion PPP algorithm based on parameter equivalent reduction. Then, the method of fusion PPP is used to monitor the time difference of GNSS. Finally, the effectiveness of the improved algorithm and time difference monitoring method is verified by practical examples.

MULTISYSTEMIC MODELING TO IMPROVE FORECAST ACCURACY IN CONSTRUCTION MANAGEMENT

Process modeling and simulations provide indispensable support during project preparation, construction process planning, and execution. Realistic correlation modeling in construction management and/or economics is crucial to inform meaningful, beneficial process simulations. Inductive approach to reflecting reality in a (computation) model enables prospective consideration of the object or process under study and related analyses. This method aids decision making in construction management related projects and contributes to developing new computation models. Linking the management of chances and risks to construction process modeling is thus an essential tool for systematically making and implementing decisions in construction management and economics. Forecast-based conclusions regarding future developments or events require computation models to be developed based on hands-on experience and practical feasibility whilst relying on sound theoretical assumptions, required abstraction levels, simplifications, and considering their mathematical implementation. The resulting model is linked to model objects for which it was developed and to which it is applied. Model objects may include entire buildings or structures, contract sections, or individual structural components, such as those for which construction processes and logistics as well as construction times and costs are determined. Monte Carlo simulations are applied to systematically account for uncertainties. Derived models should be closely related to the aspects and societal challenges of interdisciplinarity, simulation, and digitization. This paper outlines the requirements that a multisystemic model should fulfill to increase forecast accuracy.

Sexual Risk Behavior: a Multi-System Model of Risk and Protective Factors in South African Adolescents.

Adolescent sexual risk behavior has typically been studied within singular, isolated systems. Using a multi-system approach, this study examined a combination of individual, proximal, and distal factors in relation to sexual risk behavior among adolescents. A large cross-sectional sample of 2561 adolescent (Mage = 14.92, SDage = 1.70) males (n = 1282) and females in Grades 8 (n = 1225) and 10 completed a range of self-report measures. Hierarchical ordinal logistic regression results supported a multi-system perspective of adolescent sexual risk behavior. Although individual and peer levels were identified as the primary contributors to the final model, a range of factors at varying levels of proximity to the individual were associated with sexual risk behavior. Specifically, being male, black, attaining increased age, greater alcohol use (individual level), parent risk behavior (family/home level), and peer risk behavior, feeling more pressure from peers to have sex (peer level), and lower social cohesion (community level) were associated with increased sexual risk behavior. These findings suggest multiple individual, proximal, and distal factors are salient to understanding sexual risk behavior among adolescents. Implications of the findings for interventions targeting the prevention of adolescent sexual risk behavior are discussed.

Психологическая неустойчивость как причина неуспешности школьников

The article reviews the array of English-language publications (dated 2014-2018) on psychological resilience of schoolchildren. It discloses three main areas of research. Firstly it presents an innovative and multi-system model of psychological stability – Multi-System Model of Resilience (MSRM) developed in 2017 in Ryerson University (Toronto, Canada). The review introduces a fundamental theoretical and empirical "cluster" of studies focused on a particular aspect of this issue in the global scientometric space of psychological resilience in students of all ages. It also gives an indication of the relevance of psychological resilience for secondary special education. We also tried to show some innovative approaches to strengthening the psychological resilience in children, adolescents and young people both connected and not connected with the educational environment, as well as examples of intersectoral and interdisciplinary cooperation in the study of this problem

Application of Firefly Algorithm in Scheduling Optimization of Combined Cooling, Heating and Power with Multiple Objectives

This paper aims to investigate the application of firefly algorithm in scheduling optimization of combined cooling, heating and power with multiple objectives. Based on the latest multi-system optimization model of combined cooling, heating and power, a comprehensive analysis of various limiting factors such as cost, energy utilization, and environmental protection was conducted. Firefly algorithm was used to perform single-target search. The results show that through the firefly algorithm, the speed of search can be improved, and an optimal scheduling scheme of cooling, heating, power system with multiple targets can be found in a very short time. In this system, the application of firefly algorithm is beneficial to solve the system optimization problem. Therefore, it has certain promotion and application value.

영유아교사의 행복 증진을 위한 다중체계 모델 개발 연구 : 직무 관련 변인을 중심으로

본 연구는 영유아교사의 행복 관련 변인들 간 관계를 살펴보고 영유아교사의 행복증진을 위한 다중체계 모델을 개발하기 위해 수행되었다. 본 연구목적을 달성하기 위해 B광역시 및 G도에 위치한 유치원 및 어린이집의 영유아반 담임교사 443명을 대상으로 분석결과를 제시하였다. 본 연구에서 개발한 다중체계 모델의 적합도와 타당도를 검증하기 위해 구조방정식 모형검증을 실시하였으며, 이를 위해 SPSS 21.0 & AMOS 21.0을 활용하였다. 연구결과, 선행요인(원장의 멀티플라이어십)은 과정요인에 통계적으로 유의미한 영향을 미치는 것으로 나타났으며, 과정요인(교사효능감과 자아탄력성)은 몰입요인(조직몰입과 교수몰입)을 통해 결과요인(행복플로리시)에 이르기까지 통계적으로 유의미한 영향을 미치는 것으로 나타났다. 이러한 연구결과를 통해 직무 중심 관점에서 영유아교사의 행복 증진을 위한 다중체계 모델을 개발할 수 있었으며, 이는 영유아교사의 행복한 교직생활을 지원하는 정책마련에도 기여할 것으로 기대된다.

Bond graph approach for port-controlled Hamiltonian modeling for SST

Energy-based modeling is often very appropriate for physical system modeling for development and analysis of multi domain dynamic system models. One such tool for modelling of system is bond graph (BG), which allows to model complex system, with clear interconnection rules and preserving the physical structure of the system. In various engineering system, operation is carried out on various time scale. One such area of generic system is microgrid, where multidisciplinary microgrid components operating on various time scales. In such hybrid system, flows and efforts comprise a very good choice of variables to link components for system stability and performance analysis. Since components are typically connected through various power electronics devices, mathematical modeling capable of capturing high frequency behavior is of utmost concern in stability analysis. Solid state transformer (SST) is one such device playing a key role in bi-directional power flow between the grid and various renewable sources. This paper proposes the use of the BG approach to recognize the energy representation of the microgrid in port-Hamiltonian form by looking at the energy transformation aspects of microgrid components. The port-controlled Hamiltonian systems (PCHS) are the mathematical description of bond graphs which allows integration of subsystems of hybrid microgrid using energy as the linking concept. To illustrate the utility of BG in hybrid systems, basic PI controller is implemented. The aim of the paper is to show how to model complex systems in bond graph domain.

Dynamical study of two predators and one prey system with fractional Fourier transform method

In this work, we investigate both the analytical and numerical studies of the dynamical model comprising of three species systems. We analyze the linear stability of stationary solutions in the one‐dimensional multisystem modeling the interactions of two predators and one prey species. The stability analysis has a lot of implications for understanding the various spatiotemporal and chaotic behaviors of the species in the spatial domain. The analysis results presented have established the possibility of the three‐interacting species to coexist harmoniously, this feat is achieved by combining the local and global analyses to determine the global dynamics of the system. In the presence of a fractional diffusion term, we introduced a fractional Fourier transform for solving the system modeled by fractional partial differential equations. The main advantages of this method are that it yields a fully diagonal representation of the fractional operator with exponential accuracy and a completely straightforward extension to high spatial dimensions. The scheme is described in detail and justified by a number of computational experiments.

Systematic Review: Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping.

Asian tiger and yellow fever mosquitoes (Aedes albopictus and Ae. aegypti) are global nuisances and are competent vectors for viruses such as Chikungunya (CHIKV), Dengue (DV), and Zika (ZIKV). This review aims to analyze available spatiotemporal distribution models of Aedes mosquitoes and their influential factors. A combination of five sets of 3–5 keywords were used to retrieve all relevant published models. Five electronic search databases were used: PubMed, MEDLINE, EMBASE, Scopus, and Google Scholar through 17 May 2017. We generated a hierarchical decision tree for article selection. We identified 21 relevant published studies that highlight different combinations of methodologies, models and influential factors. Only a few studies adopted a comprehensive approach highlighting the interaction between environmental, socioeconomic, meteorological and topographic systems. The selected articles showed inconsistent findings in terms of number and type of influential factors affecting the distribution of Aedes vectors, which is most likely attributed to: (i) limited availability of high-resolution data for physical variables, (ii) variation in sampling methods; Aedes feeding and oviposition behavior; (iii) data collinearity and statistical distribution of observed data. This review highlights the need and sets the stage for a rigorous multi-system modeling approach to improve our knowledge about Aedes presence/abundance within their flight range in response to the interaction between environmental, socioeconomic, and meteorological systems.

EXPERIMENTAL AND MATHEMATICAL MODELING OF THE IRON OXIDE NANOPARTICLE PULMONARY RETENTION AT LONG-TERM LOW-LEVEL INHALATION EXPOSURE

Airborne Fe2O3 nanoparticles (NPs) with the mean diameter of 14±4 nm produced at spark ablation from 99.99% pure iron rods were fed into a «nose-only» exposure tower for rats exposed for 4 h a day, 5 days a week during 3, 6 or 10 months at a mean concentration of 1.14±0.01 mg/m3. Nanoparticles filtered out of the air exhausted from the exposure tower proved insoluble in de-ionized water but gradually dissolved in the cell free fluid supernatant produced by broncho-alveolar lavage and in the sterile bovine blood serum. The Fe2O3 content in lungs was measured by the Electron Paramagnetic Resonance (EPR) spectroscopy. NP retention in lungs and in brain was visualized with the Transmission Electron Microscopy (TEM). It was found a relatively low but significant pulmonary accumulation of Fe2O3, gradually increasing with time but tending to attain an equilibrium level. Besides, TEM-images showed nanoparticles retention within alveolocytes and the myelin sheaths of brain fibers associated with their ultrastructural damage. A multi compartment system model was developed and identified which describes toxicokinetics of inhaled nanoparticles after their deposition in the lower airways as a process controlled by their (a) high ability to penetrate through the alveolar membrane; (b) active endocytosis; (c) in vivo dissolution. However, in this particular study, dissolution-depending mechanisms proved to be dominant due to the rather high solubility of the finest Fe2O3-NPs in biological milieux.

Personalised medicine. Bringing narrative tools to Carpem

Summary How can a cutting-edge research programme with its concomitant experimental and therapeutical applications such as CAncer Research and PErsonalised Medicine (Carpem), with a strong rationalistic component and deeply focused on the disease, correspond to the ethical dimension of medicine process involving the patient as a collaborative member? The first part of this article describes the challenges and the present state of the Carpem programme, its multi-system model and the differential value of the interpersonal, relational and communicative abilities involved, emphasizing the need for the human and social sciences. In line with the multidisciplinary cross-work developed between the authors, the second part interrogates the concept of “personalised medicine” in the light of the “Narrative turn” of narrative-based medicine (NBM) and proposes a framework derived from literary studies resorting to concepts and tools such as dialogism, (close) listening, and body/language reciprocity to promote interaction, interpretation and care, towards a Patient-centred precision medicine.

Sustainable entrepreneurship in Sub-Saharan Africa: the collaborative multi-system model

In this article, we explore the dimensions involved in creating a sustainability-focused entrepreneurial venture within a community. In these ventures the entrepreneur may be the central hub of venture activities, but the interdependence between the entrepreneur and partners in the community is critical. Our observations suggest that the path toward sustainability starts with external collaboration with entities in the entrepreneur's surrounding system. Our aim is to extend entrepreneurship research through an examination of sustainability, which calls for a recalibration in the role of profit and social/economic good. This research offers a comparative analysis of two case studies, and proposes a fluid and integrative multi-systems model of collaboration with various entities, including governments, the private sector, non-government organizations (NGOs), and the larger community.

Advancing resilience: An integrative, multi-system model of resilience

In this paper, we examine the dynamic nature of the resilience process as an interaction between individuals and their larger socio-ecological context. We introduce a novel, multi-systems model of resilience that addresses limitations within existing models, clarifies ambiguity brought on by heterogeneous definitions of resilience, and recognizes resilience as a process across the lifespan. This model includes intra-individual, interpersonal, and socio-ecological variables, and highlights the interactive process of resilience that is dynamic and multi-dimensional in nature.

Design of Type-2 Fuzzy Logic Power System Stabilizer Using Limit cycle approach

Power system is subjected to wide range of operating conditions. Heavily loaded power systems are subjected to Hopf bifurcations resulting in oscillatory instability. A power system shifts to the dynamic instability region encountered by unstable limit cycles, this result in increase of oscillatory behaviour of power system. Many of the authors suggested the theories like Poincare-Bendixson theory, bifurcation theory, eigenvalue theory and shooting methods for finding dynamic stability margin. Small signal stability focuses on eigenvalue computation at a given operating point. The onset of instability is obtained by finding Hopf bifurcations associated with a pair of imaginary eigenvalues using eigenvalue analysis. Computation of these HBs is a tedious and complex task in traditional approach. In this paper, a novel computational algorithm is proposed to identify the loading conditions resulting in these limit cycles, which are associated with a pair of imaginary eigenvalues, using genetic algorithm for single machine infinite bus (SMIB) and multi machine power system (MMPS) models. The derived loading conditions are used to systematically design a robust type-2 fuzzy logic power system stabiliser. The efficacy of the proposed controller is tested for linear and nonlinear models of power system under various operating conditions.

Treatment response in couple therapy: Relationship adjustment and individual functioning change processes.

This study, a naturalistic investigation of the process of change in relationship adjustment and individual functioning during conjoint therapy, examined the first 8 sessions of a multisystemic model of couple therapy, integrative problem-centered metaframeworks (Breunlin, Pinsof, Russell, & Lebow, 2011; Pinsof, Breunlin, Russell, & Lebow, 2011). The sample consisted of 125 heterosexual couples who reported on their relationship adjustment and individual functioning before every session using the Systemic Therapy Inventory of Change (Pinsof et al., 2009; Pinsof, Zinbarg, et al., in press). Data were analyzed using dyadic latent growth curve and cross-lagged models. For both men and women, relationship adjustment and individual functioning showed nonlinear change, increasing during Sessions 1-4 and stabilizing during Sessions 5-8. At pretreatment, women reported lower levels of relationship adjustment than men; no gender differences existed in initial levels of individual functioning or in the change trajectories of relationship adjustment or individual functioning. Higher relationship adjustment predicted positive change in individual functioning for men (but not for women). In contrast, there were no cross-lagged effects of individual functioning on relationship adjustment for men or women. The results demonstrate the importance of examining the processes by which relational and individual pathology respond to couple-based interventions.

The Process of Rebuilding Human Resilience in the Face of the Experience of a Natural Disaster: A Multisystem Model

This paper explores the process of resilience in multiple system levels through the perspectives of people who experienced a natural disaster in Australia. By focussing on human resilience, the paper adds to the literature by taking a salutogenic approach to addressing the effects on mental health arising from living through a natural disaster. The authors analysed 19 semi-structured interviews with people who experienced the 2010/11 floods in Victoria, Australia, and 20 witness statements from people who experienced the 2009 Victorian bushfires. We used an interpretive and comparative content analysis, through the lens of Bronfenbrenner’s theory, to develop an ecological model of the processes within and between systems that contributed to community resilience. Findings suggest that resilience is supported by goals to rebuild a sense of home, a network of friends and a sense of community. We conclude that enhancing community resilience required consideration of the roles and actions of others (media, government, relief agencies) as well as an individual’s resources from existing and new networks. The multiple-system model of resilience describes the complex integration of individual and community resilience to guide people involved at the multiple levels of disaster management with strategies that support communities that experience adversity.

Development and Piloting the MMMM Ecological Interactive Open Systems Model: A Prospective One-Year Treatment Outcome of Children of Tortured Refugees

Children of refugee torture survivors present a compelling case of cumulative and continuous chronic past and current traumas and complex post-cumulative trauma symptoms. Traditional models of interventions with victims of single past traumas may not be effective with such victims. The goal is to develop and initially test a new open multi-systemic, multi-component and multi-modal intervention model (MMMM) as applied in the context of Summer Day Treatment and After School (SDTAS) program, and to determine its potential effectiveness as well as the feasibility of a larger study with more rigorous experimental design. A total of 27 secondary torture survivor Iraqi refugee children (13 males and 14 females, age between 11-16), living in the US, who suffered from serious symptoms and were non-responsive to treatment as usual for at least the previous six months, completed the planned interventions and three times follow-up assessments of five domains: PTSD, complex PTSD, anxiety, depression, and global level of functioning (GAF). Repeated measure analysis of variance was used to analyze changes over the three time points. Results indicated significant decrease in symptoms, and increased GAF with high effect sized (Partial Eta Squared ranged between 0.85 - 0.93). The amount of change displayed by the treated individuals was large enough to be clinically meaningful. Current study provides evidence of potential effectiveness of this novel intervention and of the feasibility of more rigorous and larger future controlled clinical trials to help develop evidence-based treatments for the multiply traumatized children who suffer past and present ongoing adversities. We suggest that the model is cost effective, and can be conducted with children of torture survivors and refugees in different settings world-wide by professionals or by trained supervised para-professionals.

L2 ACQUISITION OF PROSODIC PROPERTIES OF SPEECH RHYTHM

This study examines the development of speech rhythm in second language (L2) learners of typologically different first languages (L1s) at different levels of proficiency. An empirical investigation of durational variation in L2 English productions by L1 Mandarin learners and L1 German learners compared to native control values in English and the learners’ L1s showed that the L1 groups followed comparable developmental paths in their acquisition of vocalic variability and accentual lengthening. However, the two L1 groups diverged in the proportion of vocalic materials in their L2 utterances, exhibiting L2 acquisition patterns that are consistent with direct transfer from the L1. The results support a multisystemic model of L2 rhythm acquisition in which the various linguistic-systemic properties that contribute to speech rhythm are acquired at different proficiency levels and depend on different acquisition processes with respect to L1 influence and universal effects. We conclude that theories of L2 phonology need to be able to accommodate the multisystemic nature of L2 prosodic acquisition. Additionally, L2 phonological acquisition theories, and SLA theories more generally, should take into account the nonuniform manner in which the various prosodic properties of the interlanguage reflect L1 transfer effects as well as universal constraints on acquisition.

Study of Material Forming Comprehensive Evaluation Method Based on Fuzzy Technology

In order to evaluate the feasibility of resin composite process, firstly analysis of the properties of the composite and the RTM molding, autoclave molding process. This paper presents the content of the evaluation: the evaluation index system was established according to the evaluation content. Through the analysis of product features, composite material forming method, manufacturing resources, to product manufacturability, cost of production, production cycle, taking hierarchical method to construct a fuzzy tree based on hierarchical multi objective evaluation system model. Using 1~9 ratio method for the membership of specific indicators under this model, discussed the problem of weight distribution, and verifies the feasibility of this method by the example analysis, to realize the optimization of composite material molding method.

Training professionals in community settings: change processes and outcomes in a child protection context

This article reports an action-research focused on the improvement of a training program for professionals working with multi-challenged families with at-risk or maltreated children. The program aimed at the implementation of a multi-systemic, collaborative and strength-based family assessment and intervention model. Outcome evaluation results indicate that professionals improved their skills and achieved minimal competence. Process evaluation reveals that participating in the training has been a transformative experience and highlights facilitator and constraining conditions for participants’ learning and changing as well as suggestions for improvement of the training program. Implications for practice and future research are discussed.