Multidimensional Environment Research Articles

The multi-dimensional environment of publicly funded U.S. crime laboratories and its impact on lab priorities

ABSTRACT Institutional theory of organizations has been increasingly applied to U.S. police organizations. There is, however, a dearth of literature applying institutional theory to publicly funded U.S. crime laboratories. Utilizing a national census and a survey of laboratory directors, we assess lab directors’ awareness of their institutional environments. We find that lab directors perceive a multi-dimensional institutional environment surrounding their labs, and they attribute varying levels of importance to sovereigns within their institutional environments. Lab directors also identify a multi-dimensional, organizational priority structure. Further analysis indicates that directors’ perceptions of their environments significantly impact organizational priorities, findings that support institutional theory.

Psychosocial Determinants of Insomnia in Adolescents: Roles of Mental Health, Behavioral Health, and Social Environment.

The theoretical explanation of human problems is derived from the complex interplay of psychological, social, economic, political, and physical factors.AimsThis study examined the roles of behavioral health (i.e., alcohol abuse and suicidality) and social environment (i.e., family support, school connectedness, and favorable neighborhood) and mental health [i.e., depression, anxiety, and attention deficit hyperactivity disorder (ADHD)] in predicting insomnia in adolescents in an ecological perspective.MethodsApproximately 6445 high school students in Taiwan were administered an anonymous self-report survey. Hierarchical multiple regression was performed to examine how multidimensional social environment, behavioral health, and mental health factors were associated with insomnia in adolescents.ResultsThe prevalence rate of insomnia in the sample was 30%. The results indicated that alcohol abuse (β = 0.04), suicidality (β = 0.06), depression (β = 0.29), anxiety (β = 0.14), and ADHD (β = 0.11) were positively associated with insomnia (p < 0.001), whereas family support (β = −0.06), school connectedness (β = −0.05), and favorable neighborhood (β = −0.10) were negatively associated with insomnia (p < 0.001). Sex did not predict insomnia, but age was positively associated with insomnia (β = 0.09, p < 0.001). Among all predictors of insomnia in the study, mental health factors, especially depression, play a major role on insomnia among adolescents, and is as much important as social environment factors.ConclusionThis study demonstrated how both psychosocial variables (social environment and behavioral health) and psychological symptoms were associated with insomnia in adolescents when the demographic variables (sex and age) were controlled and provided valuable information and evidence for clinicians, social workers, and health professionals who provide support to adolescents with insomnia. Applying an ecological approach in practice can aid in understanding at individual, family, school, and community levels and in identifying the strengths and weaknesses of their interactions with each other.ImplicationsThis perspective enables practitioners in effectively treating problems and addressing the needs of the various levels, including the individual, family, school, and the broader community. Thus, prevention and intervention of insomnia in adolescents should focus on multidimensional risk and protective factors, including mental health, behavioral health, and social environment, in the context of an ecological system.

Nonlinear flavor development of a two-dimensional neutrino gas

We present a numerical survey of the nonlinear flavor development of dense neutrino gases. This study is based on the stationary, two-dimensional ($x$ and $z$), two-beam, monochromatic neutrino line model with a periodic boundary condition along the $x$ direction. Similar to a previous work, we find that small-scale flavor structures can develop in a neutrino gas even if the physical conditions are nearly homogeneous along the $x$ axis initially. The power diffusion from the large-scale to small-scale structures increases with the neutrino density and helps to establish a semi-exponential dependence of the magnitudes of the Fourier moments on the corresponding wave numbers. The overall flavor conversion probabilities in the neutrino gases with small initial sinusoidal perturbations reach certain equilibrium values at large distances which are mainly determined by the neutrino-antineutrino asymmetry. Similar phenomena also exist in a neutrino gas with a localized initial perturbation, albeit only inside an expanding flavor conversion region. Our work suggests that a statistical treatment may be possible for the collective flavor oscillations of a dense neutrino gas in a multi-dimensional environment.

Querying 3D Cadastral Information from BIM Models

There has been significant research on the intersection of 3D cadastre and building information modelling (BIM) over the recent years. BIM provides a multidimensional environment for capturing, curating and communicating the physical and functional aspects during a building’s lifecycle. A BIM-based solution for 3D cadastre provides a rich repository of legal and physical datasets in a common environment. The knowledge encapsulated inside a cadastral BIM model should be tapped to unlock the value of 3D cadastral information. Therefore, this article aims to develop BIM-based queries for interrogating questions about the legal ownership of properties inside multistorey buildings. These queries include identifying legal spaces that belong to a private or common property; querying physical elements that bound a legal space; and finding legal spaces that are adjacent to each other at a specific building element.

Conceptual Landmarks on the Evolution of Military Art

Abstract Military art is the fundamental component of military science and has as its object the war as a whole and the armed struggle. Over the years, military art has seen spectacular evolutions and mutations in strategy, operative art and tactics, by assimilating and integrating the achievements of the technical-scientific revolution. From this perspective, we aim to highlight the main conceptual landmarks in which military art evolved also targeting the high technology, network-based warfare, the planned operation on the effects of using ISTAR systems and the hybrid operation that integrates and associates several military and non-military components. This comprehensive approach to the evolution of military art gives us the possibility to evaluate the multidimensional operational environment, to highlight the characteristics and physiognomy of the future military operations through the integration of new technological and information systems and equipment. In this context, we state that the success in planning, training, execution and evaluation of military operation in the future will depend on the professionalism of the human resource and the degree of assimilation of technologies and intelligent systems within the management and execution structures.In recent years, the art of war has undergone major changes at all levels (strategic, operational and tactical). Due to the new information phase of the scientific and technological revolution, in the near future, several theories of armed struggle will arise influencing the social and economic life of all states.

PS1234 APPLICATION OF FLOW SOM TO CLASSICAL FLOW CYTOMETRY: UNSUPERVISED ANALYSIS OF HEMATOPOIESIS AND HEMATOLOGICAL MALIGNANCIES

Background:Multiparameter flow cytometry (MFC) is an essential tool for the diagnosis and follow‐up of hematological malignancies. Numerous panels have been devised that best allow to achieve these goals. However, analysis of MFC graphs still heavily relies on the expertise of biologists and on specifically well adapted cascade‐gating strategies. Because of the development of mass cytometry, which generates data in a multidimensional environment of up to 50 dimensions, new strategies have been developed, that could be applied to classical MFC.Aims:In this study, the capacities of a rapid new tool for multidimensional analysis, FlowSOM (self‐organizing maps) have been combined to a classical MFC analysis tool, Kaluza®, for the identification of normal and diseased human bone marrow (BM) cell subpopulations.Methods:Normal BM samples collected during bone surgery were analyzed in MFC with four antibody panels adapted to the exploration of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) respectively. The listmode files obtained were merged and submitted to FlowSOM analysis, using R packages, which yielded trees of 100 nodes defining normal BM cell subsets. FlowSOM parameters were then transferred to Kaluza® for a bidimensional representation of the trees within which selected navigation could be performed with Kaluza® tools. In a second part of the study, the same stainings were performed on myelodysplastic or leukemic (AML or ALL) samples (diagnosis or follow‐up), which were submitted to FlowSOM together with the reference merged BM.Results:Node‐by‐node selection allowed for a precise definition of each of the unsupervised subsets generated by the software. This disclosed a selective segregation of delicate subsets such as non‐classical monocytes, hematogones or stem cells. Direct simultaneous comparison of diseased samples and normal BM allowed for a precise definition of abnormal cells (blasts) at diagnosis, and their immediate recognition as minimal residual disease in follow‐up samples.Summary/Conclusion:Flow SOM appears as a new and efficient tool for a rapid identification of BM cell subsets, highlighting differences from normal BM in dysplastic of leukemic samples. The node‐by‐node approach facilitates the definition of abnormal cells and their quantification, supervision intervening only after the generation of subsets delineated by artificial intelligence.

PS1235 RED BLOOD CELL GENERATION FROM HUMAN INDUCED PLURIPOTENT STEM CELLS

Background: Multiparameter flow cytometry (MFC) is an essential tool for the diagnosis and follow-up of hematological malignancies. Numerous panels have been devised that best allow to achieve these goals. However, analysis of MFC graphs still heavily relies on the expertise of biologists and on specifically well adapted cascade-gating strategies. Because of the development of mass cytometry, which generates data in a multidimensional environment of up to 50 dimensions, new strategies have been developed, that could be applied to classical MFC. Aims: In this study, the capacities of a rapid new tool for multidimensional analysis, FlowSOM (self-organizing maps) have been combined to a classical MFC analysis tool, Kaluza®, for the identification of normal and diseased human bone marrow (BM) cell subpopulations. Methods: Normal BM samples collected during bone surgery were analyzed in MFC with four antibody panels adapted to the exploration of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) respectively. The listmode files obtained were merged and submitted to FlowSOM analysis, using R packages, which yielded trees of 100 nodes defining normal BM cell subsets. FlowSOM parameters were then transferred to Kaluza® for a bidimensional representation of the trees within which selected navigation could be performed with Kaluza® tools. In a second part of the study, the same stainings were performed on myelodysplastic or leukemic (AML or ALL) samples (diagnosis or follow-up), which were submitted to FlowSOM together with the reference merged BM. Results: Node-by-node selection allowed for a precise definition of each of the unsupervised subsets generated by the software. This disclosed a selective segregation of delicate subsets such as non-classical monocytes, hematogones or stem cells. Direct simultaneous comparison of diseased samples and normal BM allowed for a precise definition of abnormal cells (blasts) at diagnosis, and their immediate recognition as minimal residual disease in follow-up samples. Summary/Conclusion: Flow SOM appears as a new and efficient tool for a rapid identification of BM cell subsets, highlighting differences from normal BM in dysplastic of leukemic samples. The node-by-node approach facilitates the definition of abnormal cells and their quantification, supervision intervening only after the generation of subsets delineated by artificial intelligence.

A MapReduce‐based modified Grey Wolf optimizer for QoS‐aware big service composition

SummaryBig services are the collection of interrelated web services across virtual and physical domains, integrating service oriented computing and big data. The rapid growth of Big services that offer similar functionality with varying QoS attributes makes the process of selection and composition of these big services as highly challenging and complex. In this paper, we develop an efficient QoS‐aware Big service composition approach by applying a MapReduce based Modified Grey Wolf Optimizer (MR‐MGWO) that explores more search space, especially in a multidimensional environment. Our approach ensures an optimal balance of exploration and exploitation that enhances the convergence rate and minimizes the computational time. The empirical analysis illustrates that the performance of MR‐MGWO is superior to other similar approaches for solving Big service composition.

Research on Architecture and Technology of Intelligent Operational Test System for LVC Interoperability

LVC combines the advantages of the actual training, the virtual simulation and the deduction simulation, and this training system. In this paper, the construction requirement of the smart equipment operation test and evaluation system of the distributed joint operation test is analyzed, on the based of which the application view of the public operational test system is established. The rapid construction program and the test scheme of the multi-dimensional war field environment combined is designed with the future smart equipment operation mode. Secondly, the design of public operational test framework based on LVC distributed joint operation is built. At last, the unified management and control method of digital joint operation simulation experiment based on LVC virtual reality training is proposed.

Silulo Ulutho Technologies: African social enterprise driving inclusive business practice

Learning outcomes This paper aims to present an opportunity to explore the opportunities and challenges involved in running a business with a strongly ingrained social vision in the complex, multi-dimensional environment of an emerging economy. Key learning areas are as follows: How the concept of inclusive innovation applies to the real-world difficulties faced by businesses operating in informal economies. By exploring the tensions between growth and inclusivity in Silulo’s development, students will grasp the challenges entrepreneurs face as a business starts to gain momentum and change, and gain appreciation for the trade-offs that occur when choosing between franchising and organic growth. The challenges of a rapidly evolving technological environment, the need to adapt service offerings at pace, and the importance of balancing financial considerations with deeper social values will find application far beyond the informal economy context of the Silulo story. Case overview/synopsis This teaching case looks at Silulo Ulutho Technologies via CEO Luvuyo Rani and the challenges he faces in balancing expansion and profitability with its mission of empowering disenfranchised communities – challenges exacerbated by a changing telecommunications environment, with more widespread internet availability, mobile phones and online training courses encroaching on Silulo’s traditional service offering. Complexity academic level This case focusses primarily on the processes of inclusive innovation and is suitable for graduate courses in social entrepreneurship, business model innovation, sustainability, business and society, strategic management, emerging markets, business in Africa and organisational studies in general. The case is suitable for Masters of Business Administration (MBA) and Executive MBA academic programmes and delegates on Executive Education programmes. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS 3: Entrepreneurship

Obstacles and Motivators for Partnership Formation in a Multidimensional Environment

Partnerships are now essential to public service delivery. However, due to the limitations in collaborative capacity, there are both obstacles and motivators for forming partnerships. Intergovernmental and cross‐sectoral partnerships offer different advantages and disadvantages in extending public service missions in new directions. Using survey data of local air quality agencies, findings determine different factors contribute to partnership and nonpartnership. Further findings suggest partnerships are driven largely by problem severity, but nonpartnership is driven by specific benefits and risks associated with types of partners. Conclusions indicate that understanding nonpartnership is a key to understanding partnership formation.Related ArticlesBurau, Viola, and Carole Clavier. 2018. “Understanding Gaps in the Coexistence between Different Modes of Governance: A Case Study of Public Health in Schools in a Multilevel System.” Politics &amp; Policy 46 (4): 604‐629. https://doi.org/10.1111/polp.12269Graizbord, Boris, and Jose Luis Gonzalez Granillo. 2019. “Urban Growth and Environmental Concerns: The Venture of the Greater Mexico City Metropolitan Area.” Politics &amp; Policy 47 (1): 178‐206. https://doi.org/10.1111/polp.12292Porto, Edoardo D., and Sonia Paty. 2018. “Cooperation among Local Governments to Deliver Public Services.” Politics &amp; Policy 46 (5): 790‐820. https://doi.org/10.1111/polp.12275 Related Media DeGood, Kevin. 2018. “When Public‐Private Partnerships Fail: A Look at Southern Indiana’s I‐69 Project.” https://www.americanprogress.org/issues/economy/reports/2018/02/15/446720/public-private-partnerships-fail-look-southern-indianas-69-project/Fowler, Luke, and Bryant Jones. 2018. “Local Governments and Air Quality Where You Are.” https://thebluereview.org/local-governments-air-quality/

Is Partnership Intensity or Density More Effective?

Current scholarship identifies benefits to both quality of partnerships and extensiveness of networks when managing shared policy goals. However, with limited collaborative capacity, many public service organizations are faced with a decision of whether to pursue intense connections with specific organizations or dense ties with an array of organizations. From using survey data from 72 local air agencies, findings indicate that intense partnerships are better predictors of improved air quality than dense ties. Conclusions suggest that building strong partnerships is more important than building many partnerships when pursuing shared policy goals in a multidimensional environment.

The Development of Hainan Provincial Digital Ocean Environment Parameters Three-dimensional Visualization System

Hainan Province has the largest ocean areas in China. After decades of efforts, it has accumulated abundant marine basic data, and has built various types, different topics and large-scale marine databases. The construction of Hainan provincial digital ocean environment parameters 3D visualization system can effectively integrate, utilize and share these marine information resources, and support marine management and marine ecological environment protection. The multi-dimensional dynamic visualization of information can provide scientific and effective tools for comprehensive marine management and macro-decision-making in a timely and accurate manner.This paper introduces a digital ocean environment parameters three-dimensional (3D) visualization system based on digital earth sphere model suitable for marine environment parameters three-dimensional visualization display, studies the key technologies of multi-dimensional marine environment parameters visualization based on basic geographic data and remote sensing images, which integrated high-precision Digital Elevation Model (DEM) and satellite images to realize the three-dimensional integration and visualization of marine environmental parameters in the South China Sea, providing data display, multi-temporal dimension comparison and spatial overlay analysis. The functions of statistics and data management provide interactive information services for integrated marine management and decision-making support.

An Automatic Classification and Clustering Algorithm for Online Learning Goals Based on Cognitive Thinking

To improve the learning effect of online learning, an online learning target automatic classification and clustering analysis algorithm based on cognitive thinking was proposed. It was applied to a multi-dimensional learning community. A new form of virtual learning community concept was proposed. The design ideas of its multi-dimensional learning environment were elaborated. Ontology technology was used to collect student learning process data. A cognitive diagnostic model for assessing student learning status was generated. Finally, through the cluster analysis technology, the registered students in the curriculum center were automatically divided into different levels of community groups. The results showed that the proposed algorithm for automatic classification and clustering of online learning targets had a good application effect in the learning community. Therefore, this method has practical application value.

Multidimensional modeling and analysis of business processes

The paper describes the use of new possibilities of the Spread Page notation for knowledge representation, such as Three-dimensional Representation, Time-varying Representation, Layered Representation, Scaled Detail Representation, Aspect-oriented Representation to describe activities and data in business processes. The knowledge representation methods have been developed allowing you to describe in a single model both static and dynamic properties of objects.Not only model editing is concerned. Equally important thing for business processes is their analysis. The paper presents methods for business process execution analysis in interactive, multidimensional and scalable environment.

Qualitative Focus Groups: Perceived Influences on Decision Making About Diet and Physical Activity Among Hispanic/Latino Participants.

Disparities in minority health are strongly associated with reduced access to culturally familiar food and physical activity opportunities. This qualitative study explores a Midwest, urban Hispanic/Latino community, the members' experiences with their multidimensional environment and its influence on their nutrition and physical activity choices. Using the principles of community-based participatory research in collaboration with a trusted, local Hispanic/Latino community agency, we conducted five bilingual focus groups with a total of 46 self-selected participants (44 women and 2 men). We find that one's perception of the environmental factors of access, convenience, affordability, and safety influence food and physical activity decision making. Findings can be used to inform interventions to enhance culturally appropriate outreach, increase food equity, and decrease health disparities.

KONFERENCIJA KAIP MOKYMOSI METODAS IR JO TAIKYMAS PRADINIAME UGDYME

While analysing theoretical presumptions of educational methods, it has been noticed that personality’s development is validated by the conference as a method. This method stimulates support of active relationships among the participants of education process involving personal experiences. Conference as an education method involves learning process of multidimensional environment that includes various types of digital media such as text, image, sound, video that are integrated into one presentation. Conference as education method highlights the division between pupil-centred vs. teacher-centred conceptions. A pupil as a central figure creates conditions for pupils to communicate with each other without teacher’s positioning in the education process. Pupils and teachers of Šilutė Martynas Jankus primary school organise events dedicated to the Earth Day. One of the events is conference. Conference activities, presentations, community’s involvement into the educational process stimulate social communication; the education process becomes important not only to its participants, but also to the whole community increasing the engagement to solve nature problems. Keywords: conference as education method, primary school pupils, Earth Day, nature lessons.

An examination of how the effort-inducing property of incentive compensation influences performance in multidimensional tasks

Employees often find themselves working in organizations where their jobs have multiple dimensions. An often proposed solution to motivating employees in multidimensional environments is for organizations to use incentive compensation. Incentive compensation can both direct employees’ attention (attention-directing property) and motivate their effort levels (effort-inducing property) but incentive compensation might not always be optimal in multi-dimensional settings. Thus, it is important to better understand the two proposed properties of incentive compensation through which incentive compensation motivates employee performance. Conducting an experiment in a multidimensional environment that contains quantity and quality task dimensions, we find that the incremental effectiveness of the effort-inducing property over the attention-directing property on performance quantity and performance quality varies depending on the task dimension toward which attention is directed and effort is induced. Specifically, the effort-inducing property has a positive incremental effect over the attention-directing property on performance quality when the quality dimension is incentivized; however, the effort-inducing property does not have a positive incremental effect over the attention-directing property on performance quantity when the quantity dimension is incentivized. This study provides important insight regarding the properties of incentive compensation.

Simulation of combustion process of a single biomass pellet based on heterogeneous-dimension discretization

AbstractIn this paper, one-dimensional intra-pellet solid model combined with multi-dimensional extra-pellet environment model were used to simulate the combustion processes of a biomass pellet in a furnace. The combustion processes of the solid phase were calculated using a self-written MATLAB code, and the processes of the extra-pellet fluid environment were calculated using the commercial CFD code. The two codes were coupled together by exchanging the data of source terms and boundary conditions in real-time. Experiments on combustion of a single corn-stover pellet in a tube furnace were implemented to validate the calculation method and acceptable agreements were obtained, and the main errors are within 10%. The heterogeneous-dimension discretization method made the updating and debugging of the physical and chemical mechanism of the solid phase very easy. Compared with constant environment conditions, the average error of coupling calculation method is decreased by about 5%. The calculation method can be extended to deal with many other problems.

Teaching worldviews through creative drama for religious education in Turkey

Over the last two decades, Worldview Approach has been mentioned in the field of religious education and spirituality. This article aims to determine the effects of creative drama on teaching worldviews and religions. The main purpose of Worldview Education is to assist individuals to have a broader and deeper understanding on self-identity, worldviews of others, and on the meaning and purpose of life. It also helps individuals to think on ontological, epistemological and ultimate questions about life, values and beliefs. The spiritual development of individuals has a need for several guidelines from the fields of philosophy, theology, and education. As an educational tool, creative drama increases imagination, creativity, problem-solving and critical thinking skills and assists students’ personal and emotional development. Combining Worldview Education with creative drama creates a multidimensional educational environment for a meaningful learning on religions, worldviews, and spirituality.