Development Of Conceptual Model Research Articles

The development of conceptual models for the functioning of geothermal systems using hydrogeological, hydrogeochemical and isotopic data: case studies from Rize (NE Turkey)

The hydrogeological and hydrogeochemical properties and isotopic composition of hot and cold water springs in the Ilicakoy and Ayder geothermal areas were investigated and a conceptual model was developed to explain their function. Characteristics of hot groundwater from the Ilicakoy area were: temperature, 63 °C; EC, 6913 µS/cm; pH, 7.2, DO content, 0.75 mg/L; and water type, Na–Ca–HCO3. Characteristics of hot groundwater from the Ayder area were: temperature, 55 °C; EC, 255 µS/cm; pH, 9.2, DO content, 1.9 mg/L; and water type, Na–Ca–CO3–SO4. Ilicakoy has acidic pH values, while those of the Ayder area are alkaline. Carbon in hot water in both areas was derived from inorganic carbon in groundwater and from CO2 in pore spaces in the unsaturated zone. SO2 in hot water was derived from Cenozoic-aged gypsum. Low tritium and high Cl contents in hot waters indicate deep circulation, and Sr was passed from granitic rocks to waters by simple dissolution. High total alpha and total beta values were obtained in the hot waters from the Ilicakoy geothermal area. Ilicakoy and Ayder geothermal spring formation occurred by infiltration of precipitation through fractures in granitic bedrock from the Kackar granitoid, which forms a regionally significant geothermal reservoir. Water of meteoric origin is heated under by a locally steep geothermal gradient, and it rises through bedrock fractures and re-emerges at the ground surface. In the Ilicakoy and Ayder geothermal fields, which are low temperature geothermal systems, the reservoir rock temperature was 80 °C and 149 °C, respectively.

The making of occupation-based models and diagrams: History and semiotic analysis.

Models provide a structure for organizing knowledge and facilitating learning and are upheld by occupational therapy as epitomizing the cornerstones of its practice. This article briefly examines the scientific history of occupation-based model development in the 1950s before addressing the process of conceptual model making in occupational therapy. Using the theory of semiosis, it explains and takes a critical perspective on conceptual model building in occupational therapy. Since the surge of development in the mid-1970s, models have grown and undergone some revision. However, while the profession has often contested the definitions of its core terms, it has not challenged the accepted models and diagrams that present the constituents of practice. Examining the processes of conceptual model development from a critical, semiotic point of view foregrounds models in the historico-theoretical literature and brings into scrutiny a model's relevancy in current practice.

Digitizing Human Behavior with Wireless Sensors in Biogas 2020 Technological Business Model Innovation Challenges

The ability to develop innovative Business Models (BMs) with high speed and good Return of Investment has become the cornerstone for the competitiveness of many successful businesses operating in many different Business Model Ecosystems (BMES) today. Business Model Innovation (BMI) appears even more important in these days—as well as in the Biogas 2020 BMES—as digitalization affect all areas of innovating and operating businesses. Increased digitalization leads to new ways of working, communicating, cooperating and supporting BMI. Thanks to these new technologies todays businesses are more interconnected in physical, digital and virtual networks. The cooperation between businesses, academia and the use of competences across different domains becomes more important to strengthen BMI and advance BMI. One main challenge however of digitization of BMI is modeling human behavior and cognitive processes in BMI processes into logical expressions that can be digitized and automated. Our state-of-the-art review shows that has been no research in this field related to BMI. The aim is therefore to find a way to value the BMI process and support the BMI process in a more advanced way than previously supported by sensor technologies. This paper report on a first experiment carried out in a cross interdisciplinary CGC research group with 3 different European Biogas Technological BMI (TBMI) challenges. The aim of this first experiment was twofold. (1) To support the test and further development of a conceptual model of a future agile BMI learning environment first presented at the Global Wireless Summit 2017 conference in Cape Town, South Africa. The the aim is later to adapt these results, findings and experiment recommendation to prepare a largescale global experiment in 2019. The used sensor technology backbone was to this experiment made as a special build cloud-based sensing BM and sensing BMI room—imbedded in special built BMI rooms called B-lab/Beecube. The B-labs was embedded with advanced mobile and wireless sensors, both environmental and wearable by the participants. The aim was to test use and utilization of these sensors in BMI to improve observations, improve analyzing abilities and predict in a latter stage human behavior in BMI processes, (2) to support the development of an advanced network based BMI environment and in a latter perspective to support a Multi Business Model Innovation (MBMI) framework embedded with AI, machine learning, AI, Multi Business model archetypes and pattern techniques. In our experiment we were able to use the Biogas 2020 BMES and project as a testbed. We report on our preliminary findings and draw some proposals to how the large scale experiment technical and BMI wise can be adjusted.

Application of distributed temperature sensing for mountain permafrost mapping

AbstractPermafrost distribution in mountains is typically more heterogeneous relative to low‐relief environments due to greater variability in the factors controlling the ground thermal regime, such as topography, snow depth, and sediment grain size (e.g., coarse blocks). Measuring and understanding the geothermal variability in high mountains remains challenging due to logistical constraints. This study presents one of the first applications of distributed temperature sensing (DTS) in periglacial environments to measure ground surface temperatures in a mountain permafrost area at much higher spatial resolution than possible with conventional methods using discrete temperature sensors. DTS measures temperature along a fibre‐optic cable at high spatial resolution (i.e., ≤ 1 m). Its use can be limited by power supply and calibration requirements, although recent methodological developments have relaxed some of these restrictions. Spatially continuous DTS measurements at a studied rock glacier provided greater resolution of geothermal variability and facilitated the interpretation of bottom temperature of snowpack data to map patchy permafrost distribution. This research highlights the potential for DTS to be a useful tool for permafrost mapping, ground thermal regime interpretation, conceptual geothermal model development, and numerical model evaluation in areas of heterogeneous mountain permafrost.

Using Structural Equation Modeling to Propose a Model for Shopping Complex Design Based on Universal Design Concept

Universal design (UD) is a design style that promotes the design for all people regardless of their abilities and sociodemographic features. The UD is also viewed as an element of social sustainability. Shopping complexes, as one of the main places for leisure activities, can be designed and assessed based on UD to enhance the usability for all shoppers. At present, no clear definition of UD is available in shopping complex design criteria. Consequently, a very limited number of design and assessment guidelines are based on UD. The present study remedied this shortcoming in knowledge through translating and defining the conceptual components of features of UD for shopping complexes. The contribution of shopping complexes’ design elements also was identified. The aforesaid objectives were achieved through a comprehensive literature review. The findings of this review contributed to the development of conceptual models to define UD in shopping mall design. This study administrated a questionnaire to collect data, and the data were tested for model fitness using structural equation modeling. The UD translation can help practitioners and researchers to design and assess the shopping complexes to ensure all shoppers are served on an equal basis.

Actively facilitated permeable reactive barrier for remediation of TCE from a low permeability aquifer: Field application

Proven in situ treatment and remediation approaches are limited for low-permeability aquifers materials, particularly because of limitations to the delivery of reactive chemicals or access to contaminated plumes. In this paper, we describe the development of a cutting-edge solution for the remediation of contaminated groundwater in a low-permeability and low water-bearing aquifer contaminated with the chlorinated hydrocarbon trichloroethylene (TCE). The remediation technique introduced coupling of large-diameter permeable reactive barrier wells (PRB wells) with: (1) extraction wells through in a highly impacted plume; and (2) re-injection wells at the fringe of the plume. A pump-and-treat system (PTS) was employed at the site in a separate plume to reduce the mass of TCE near the second source zone. This research focuses only on the large diameter PRB well system. Conceptual site model development, design considerations, implementation and performance evaluation demonstrated how each of these elements were applied in the field. Approaches for coupling technologies to increase technical and economic feasibility are presented. Extraction and reinjection wells of treated groundwater at the fringe of the plume promoted a positive hydraulic gradient, facilitated groundwater transport through the reactive media, and contained the plume. Detailed geospatial and statistical analysis with over 10 years’ monitoring data showed that dissolved TCE plume delineation shrank, and still concentration continues to decline, and were projected to meet the demands of remediation compliance regulations in the next few years. The results of this study indicate that significant remediation was achieved despite the challenging hydraulic conditions of the aquifer. The developed the remediation technology and conclusions indicate the system’s usefulness at other sites.

Improving risk assessment approaches for chemicals with both endogenous and exogenous exposures

To conduct risk assessments of exogenous chemicals for which there are also endogenous exposures, knowledge of the chemistry and biology of both types of exposures needs to be integrated into problem formulation and carried through to risk characterization. This issue is framed in a risk assessment context, highlighting the importance of quantifying increments of dose from all sources of the same or similar chemicals interacting with biological targets; understanding the influence of endogenous chemical concentrations on disease risk; and assessing total dose to targets in evaluating risk from incremental environmental exposures. Examples of recent assessments illustrate the importance of addressing this issue. Evaluations of data on blood or organ concentrations of ammonia, methanol, formaldehyde, acetaldehyde, and three gaseous signaling molecules (hydrogen sulfide, carbon monoxide, and nitric oxide) provide examples where current data are already informing perspectives on relative exposures at the portal of entry and systemically. To facilitate quality risk assessments of exogenous chemicals with endogenous exposures, a series of specific questions are presented that need to be addressed in systematic review to enhance problem formulation, improve the development of holistic conceptual models, and to facilitate the identification of priority data needs for improving risk assessments.

Development of a person-centered conceptual model of perceived fatigability.

Perceived fatigability, reflective of changes in fatigue intensity in the context of activity, has emerged as a potentially important clinical outcome and quality of life indicator. Unfortunately, the nature of perceived fatigability is not well characterized. The aim of this study is to define the characteristics of fatigability through the development of a conceptual model informed by input from key stakeholders who experience fatigability, including the general population, individuals with multiple sclerosis (MS), and individuals with fibromyalgia (FM). Thirteen focus groups were conducted with 101 participants; five groups with n = 44 individuals representing the general population, four groups with n = 26 individuals with MS, and four groups with n = 31 individuals with FM. Focus group data were qualitatively analyzed to identify major themes in the participants' characterizations of perceived fatigability. Seven major themes were identified: general fatigability, physical fatigability, mental fatigability, emotional fatigability, moderators of fatigability, proactive and reactive behaviors, and temporal aspects of fatigability. Relative to those in the general sample, FM or MS groups more often described experiencing fatigue as a result of cognitive activity, use of proactive behaviors to manage fatigability, and sensory stimulation as exacerbating fatigability. Fatigability is the complex and dynamic process of the development of physical, mental, and/or emotional fatigue. Trait- and state-like biological, psychological, social, and environmental moderators contribute to tremendous variability in fatigability (both between and within-person variability). Future research to further characterize fatigability across populations, test treatments for fatigability, and develop new measures of this construct are greatly needed.

The Safe City: Conceptual Model Development - A Systematic Literature Review

In developing a smart city, it certainly has many aspects that must be met. One of these aspects is the aspect of security in the city which is usually called a safe city. The Safe City concept in Smart City provides a new way for the government to develop a city security system. "Safe city concept is one approach and as part of the live concept of the city focusing on the crime problem in urban areas" [1].In other words, Safe City is an idea in a community that uses technology to help governments, communities and businesses reduce the possibility of crime and provide an environment where people feel safe and comfortable. In developing the concept of a safe city, the government must first assess how safe the city is. General assessment of the level of city security in the world has been carried out by a leading company in Japan, NEC. In the security campaign conducted by NEC in 2017 [2], Indonesia has a relatively low-security value compared to other countries. The researchers assessed that the low value of city security in Indonesia is less relevant when viewed from the current state of the city. For this reason, the researchers collect other values that are owned by Indonesia and not owned by other countries to be used as an assessment material that Indonesia has a safe city. In the preparation of the literature review, this will produce a conceptual safe city model to provide a measure of city security assessment by the characteristics of cities in Indonesia.

Development of social-ecological conceptual models as the basis for an integrated ecosystem assessment framework in Southeast Alaska

Rosellon-Druker, J., M. Szymkowiak, C. J. Cunningham, S. Kasperski, G. H. Kruse, J. H. Moss, and E. M. Yasumiishi. 2019. Development of social-ecological conceptual models as the basis for an integrated ecosystem assessment framework in Southeast Alaska. Ecology and Society 24(3):30. https://doi.org/10.5751/ES-11074-240330

Development of Conceptual Learning Model Based on Various Stability Features

To promote efficient and flexible learning, a conceptual learning model can be developed using the differences between the stable features of various concepts, thereby allowing scalable and continuous learning concepts to be obtained from a small number of labeled samples. By using a stable feature expressed as a vector to represent each concept, the conceptual learning model can distinguish the representative feature of each concept, thus increasing the interpretability of the model. In addition to adjusting the mapping relationship between concept instances and concept stability features, constraints on the differences between stable features of different concepts are also introduced into the model. Because this constraint can improve the sensitivity of the instance features to the stable features of each concept, the proposed model has the ability to learn from a small number of samples. In this paper, sub-networks of the same structure were applied to learn each concept, and unified learning methods were used to achieve scalability and the ability to easily manage new concepts. By training the proposed model using the MNIST dataset, the model demonstrates that prediction accuracy of 96% can be achieved as a result of using 100 labeled training samples for each concept. Furthermore, the proposed model not only demonstrated an improved learning ability for small samples, but it was also found to considerably reduce the training time, with each concept requiring only 18 s on average. Thus, the small-sample and continuous learning capabilities of the proposed model enable the construction of a conceptual space that promotes improved knowledge representation and complex scene understanding.

Innovative social networks modelling for population simulation

Today social networks are an important element of society that requires developing new models as well as guidelines to create interoperable simulators covering these aspects. These new simulators are expected to enable researches and developments focused on people reactions to simulated events via social networks. This research area results are promising, however, it is necessary to address also several challenging issues including proper development of new conceptual models as well as validation and verification processes and definition of human behaviour modifiers. The authors present a new methodological framework for modelling individuals and populations by means of web social networks, in order to reproduce their dynamics. The article proposes to create interoperable models of social networks along with a real case study related to training and decision making process for authorities. The paper includes experimentations over a complex scenario where human factors and social networks play a crucial role.

Development of an Initial Conceptual Model of Multiple Myeloma to Support Clinical and Health Economics Decision Making.

Background. We aimed to develop and validate a conceptual model of multiple myeloma (MM) that characterizes the attributes affecting disease progression and patient outcomes, and the relationships between them. Methods. Systematic and targeted literature reviews identified disease- and patient-specific attributes of MM that affect disease progression and outcomes. These attributes were validated by a Delphi panel of four international MM experts, and a physician-validated model was constructed. Real-world clinical data from the Czech Registry of Monoclonal Gammopathies (RMG) was used to confirm the relationships between attributes using pairwise correlations and multiple Cox regression analysis. Results. The Delphi panel reached consensus that most cytogenetic abnormalities influenced disease activity, which results in symptoms and complications and affects overall survival (OS). Comorbidities and complications also affect OS. The entire panel agreed that quality of life was influenced by comorbidities, age, complications, and symptoms. Consensus was not reached in some cases, in particular, the influence of del(17p) on complications. The relationships between attributes were confirmed using pairwise analysis of real-world data from the Czech RMG; most of the correlations identified were statistically significant and the strength of the correlations changed with successive relapses. Czech RMG data were also used to confirm significant predictors of OS included in the model, such as age, Eastern Cooperative Oncology Group performance status, and extramedullary disease. Conclusions. This validated conceptual model can be used for economic modeling and clinical decision making. It could also inform the development of disease-based models to explore the impact of disease progression and treatment on outcomes in patients with MM.

Разработка общей концептуальной модели ГИС военного назначения

Разработка общей концептуальной модели ГИС военного назначения

ПСИХОЛОГО-ПЕДАГОГІЧНІ АСПЕКТИ СТАВЛЕННЯ ЗДОБУВАЧІВ ВИЩОЇ ОСВІТИ ДО ЗАНЯТЬ З ФІЗИЧНОГО ВИХОВАННЯ

Urgency of the research. Effective implementation of the leading goal of physical education in higher educational institutions involves the development of various conceptual models for monitoring the attitude of applicants of higher education to the process of physical education. Target setting. A significant number of applicants for higher education do not show a stable motivation for systematic exercises in physical education. Actual scientific researches and issues analysis. The issues of solving the concept of attitude to physical education classes were considered by such researchers as M. Y. Variy, A. K. Markov, etc (relevance of knowledge in the concept of attitude), L. M. Progonyuk, L. M. Mustafin, A. M. Silveistr, A. M. Moklyuk (motivation to study, physical education), M. Y. Variy, N. Korzh (the role of forming cognitive interests in the concept of attitude to exercise), O. M. Leontiev, V. M. Mesishchev (personal needs in the structure of attitude), K. H. Nikolaev, H. O. Esionova, T. S. Brykhanova, V. M. Lysiak, etc. (motivation of applicants of higher education for physical education classes). Uninvestigated parts of general matters defining. Psychological and pedagogical aspects of attitude of applicants of higher education, development of physical abilities, observance of healthy lifestyle remain little-researched. The research objective. The purpose of the publication is to study the psychological and pedagogical aspects of attitude of applicants of higher education to classes on physical education in the process of professional training. The statement of basic materials. Consideration of the problem of attitude of applicants of higher education to classes on physical education in psychological and pedagogical research involves studying its relationship with such psychological properties of the individual as emotions, motives, interests, needs, as well as knowledge and educational activities. Ensuring the effectiveness of the process of formation of attitude of applicants to exercise is carried out taking into account the following structural components: cognitive, emotional, motivational, active. Conclusions. The positive attitude of applicants of higher education to physical education classes is considered as an important leading component of the prerequisite for the formation of a healthy lifestyle.

АНАЛИЗ ИНФОРМАЦИОННЫХ ПОТОКОВ МНОГОФУНКЦИОНАЛЬНОЙ ШАХТНОЙ СИСТЕМЫ БЕЗОПАСНОСТИ И РАЗРАБОТКА КОНЦЕПТУАЛЬНОЙ МОДЕЛИ БАЗЫ ДАННЫХ

АНАЛИЗ ИНФОРМАЦИОННЫХ ПОТОКОВ МНОГОФУНКЦИОНАЛЬНОЙ ШАХТНОЙ СИСТЕМЫ БЕЗОПАСНОСТИ И РАЗРАБОТКА КОНЦЕПТУАЛЬНОЙ МОДЕЛИ БАЗЫ ДАННЫХ

A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

Urban drainage modelling typically requires development of highly detailed simulators due to the nature of various underlying surface and drainage processes, which makes them computationally too expensive. Application of such simulators is still challenging in activities such as real-time control (RTC), uncertainty quantification analysis or model calibration in which numerous simulations are required. The focus of this paper is to present a rather simple hybrid surrogate modelling (or emulation) strategy to simplify and accelerate a detailed urban drainage simulator (UDS). The proposed surrogate modelling strategy includes: a) identification of the variables to be emulated; b) development of a simplified conceptual model in which every component contributing to the variables identified in step (a) is replaced by a function; c) definition of these functions, either based on knowledge about the mechanisms of the simulator, or based on the data produced by the simulator; and finally, d) validation of the results produced by the surrogate model in comparison with the original detailed simulator. Herein, a detailed InfoWorks ICM simulator was selected for surrogate modelling. The case study area was a small urban drainage network in Luxembourg. An emulator was developed to map the rainfall time series, as input, to a storage tank volume and combined sewer overflow (CSO) in the case study network. The results showed that the introduced strategy provides a reliable method to simplify the simulator and reduce its run time significantly. For the specific case study, the emulator was approximately 1300 times faster than the original detailed simulator. For quantification of the emulation error, an ensemble of 500 rainfall scenarios with 1 month duration was generated by application of a multivariate autoregressive model for conditional simulation of rainfall time series. The results produced by the emulator were compared to the ones produced by the simulator. Finally, as an indicator of the emulation error, distributions of Nash-Sutcliffe efficiency (NSE) between the emulator and simulator results for prediction of storage tank volume and CSO flow time series were presented.

The Content of the Main Concepts of Competition and Industrial Policies Harmonization

The purpose of this work is the development of conceptual model of competition and industrial policies harmonization, ensuring their complementarity and strengthening with obtaining a synergistic effect. The scientific definitions of competition policy and industrial policy are specified on the basis of the identified criteria combination in terms of the possibility of harmonization. The schemes of both approaches interaction are presented: uncoordinated, synchronous, harmonious and assessment of their efficiency on the basis of specific, synchronous and combined indicators of competition and industrial policies. The conceptual graphic model of the harmonization of competition and industrial policies process is presented. The scientific definition of the category «competition and industrial policies harmonization» as a dynamic, variable process of coordination and synchronization through system of complementary indicators of state measures into one long-term vector aimed at sustainable balanced development of industries based on combination of tools and advantages of both approaches is given.

Exploring the emergence and evolution of population patterns of leisure-time physical activity through agent-based modelling

IntroductionMost interventions aiming to promote leisure-time physical activity (LTPA) at population level showed small or null effects. Approaching the problem from a systems science perspective may shed light on the reasons for these results. We developed an agent-based model to explore how the interactions between psychological attributes and built and social environments may lead to the emergence and evolution of LTPA patterns among adults.MethodsThe modeling process consisted of four stages: (1) conceptual model development, (2) formulation of the agent-based model, (3) parametrization and calibration, and (4) consistency and sensitivity analyses. The model represents a stylized community containing two types of agents: persons and LTPA sites. Persons interact with each other (proximal network and perceived community) and with the built environment (LTPA sites) over time. Decision-making is based on the person’s intention to practice LTPA, conditioned to the perceived environment. Each iteration is equivalent to one week and we assessed a period of 10 years.ResultsThe model was able to reproduce population temporal trends of intention and LTPA reported in the literature. Sensitivity analyses indicated that population patterns and trends of intention and LTPA were highly influenced by the relationship between a person’s behavior in the preceding week and his current intention, the person’s access to built and social environment, and the density of LTPA sites.ConclusionsThe proposed agent-based model is suitable to explore the emergence and evolution of LTPA patterns among adults, considering the dynamic interaction between individuals’ psychological attributes and the built and social environments in which they live. The model is available at https://doi.org/10.17605/OSF.IO/J2KAS.

Team Performance in Flood Emergency Response: A Conceptual Model and Scale Development

Based on the literature on knowledge integration, social media, and emergency management, the purpose of this paper to present our conceptual model of EM team performance and propose a rigorous approach in scale development and validation it, scale which can be used to assess organizations volunteer and staff work on flood field used social media. This study conceptualizes the construct of EM team performance and generates an initial 39 item EM task scale. Based on the sample data, this study provides an empirical validation of the EMTP constructs and its underlying dimensionality, and develops a generic EMT scale with desirable psychometric properties, including face validity, content validity and pilot testing. This study develops and validates a 30-item EM task scale with 6 constructs (task characteristic, task technology, task technology fit, social media usage, knowledge integration and EM team performance). This study is a pioneering effort to develop and validate EMTP scale and will contribute to the development of knowledge integration literature and add to the repository of rigorous research instruments for researcher’s utilization.