New Family of Exact Solutions and Chaotic Soltions of Generalized Breor-Kaup System in （2＋1）-Dimensions via an Extended Mapping Approach

Starting from an extended mapping approach, a new type of variable separation solution with arbitrary functions of generalized (2+1)-dimensional Broer-Kaup system (GBK) system is derived. Then based on the derived solitary wave solution, we obtain some specific chaotic solitons to the (2+1)-dimensional GBK system.

Mapping equivalent approach to analysis and realization of memristor-based dynamical circuit

A novel mapping equivalent approach is proposed in this paper, which can be used for analyzing and realizing a memristor-based dynamical circuit equivalently by a nonlinear dynamical circuit with the same topologies and circuit parameters. A memristor-based chaotic circuit and the corresponding Chua＇s chaotic circuit with two output differentiators are taken as examples to illustrate this approach. Equivalent dynamical analysis and realization of the memristor-based chaotic circuit are performed by using Chua＇s chaotic circuit. The results indicate that the outputs of memristor-based chaotic circuit and the corresponding outputs of Chua＇s chaotic circuit have identical dynamics. The proposed approach verified by numerical simulations and experimental observations is useful in designing and analyzing memristor-based dynamical circuits.

A General Mapping Approach and New Travelling Wave Solutions to（2＋1）-Dimensional Boussinesq Equation

A general mapping deformation method is presented and applied to a (2+1)-dimensional Boussinesq system. Many new types of explicit and exact travelling wave solutions, which contain solitary wave solutions, periodic wave solutions, Jacobian and Weierstrass doubly periodic wave solutions, and other exact excitations like polynomial solutions, exponential solutions, and rational solutions, etc., are obtained by a simple algebraic transformation relation between the (2+1)-dimensional Boussinesq equation and a generalized cubic nonlinear Klein-Gordon equation.

Mapping Soil Salinity Using a Similarity-based Prediction Approach:A Case Study in Huanghe River Delta,China

Spatial distribution of soil salinity can be estimated based on its environmental factors because soil salinity is strongly affected and indicated by environmental factors. Different with other properties such as soil texture, soil salinity varies with short-term time. Thus, how to choose powerful environmental predictors is especially important for soil salinity. This paper presents a similarity-based prediction approach to map soil salinity and detects powerful environmental predictors for the Huanghe(Yellow) River Delta area in China. The similarity-based approach predicts the soil salinities of unsampled locations based on the environmental similarity between unsampled and sampled locations. A dataset of 92 points with salt data at depth of 30–40 cm was divided into two subsets for prediction and validation. Topographical parameters, soil textures, distances to irrigation channels and to the coastline, land surface temperature from Moderate Resolution Imaging Spectroradiometer(MODIS), Normalized Difference Vegetation Indices(NDVIs) and land surface reflectance data from Landsat Thematic Mapper(TM) imagery were generated. The similarity-based prediction approach was applied on several combinations of different environmental factors. Based on three evaluation indices including the correlation coefficient(CC) between observed and predicted values, the mean absolute error and the root mean squared error we found that elevation, distance to irrigation channels, soil texture, night land surface temperature, NDVI, and land surface reflectance Band 5 are the optimal combination for mapping soil salinity at the 30–40 cm depth in the study area(with a CC value of 0.69 and a root mean squared error value of 0.38). Our results indicated that the similarity-based prediction approach could be a vital alternative to other methods for mapping soil salinity, especially for area with limited observation data and could be used to monitor soil salinity distributions in the future.

The Effectiveness of Concept Mapping as an Educational Nursing Intervention Strategy to Handle Diabetic Foot: Integrative Review

Introduction: Concept map is used as a teaching strategy, where nursing uses this method often to learn more effectively and to be able to apply knowledge when working with diabetic patients. Objective: The aim of this review is to examine all the published articles related to the effectiveness of concept mapping as an educational nursing intervention strategy to handle diabetic foot from 2010-2019. Methodology: Integrative review design in reviewing pertaining literature. Key words related to research were used, database obtained from Cochrane library, MEDLINE, PubMed, Science Direct, Cumulative Index Nursing and Allied Health Literature (CINAHL), ProQuest and Ovid databases were searched, covering the period 2010 to 2019. Other Studies were included if they were related to the effectiveness of concept mapping as an educational nursing intervention strategy to handle diabetic foot. Results: Reveled that concept mapping is a very crucial education tool for both nurses and patients. It is used by nurses to teach diabetic patients how to prevent diabetic foot ulcer, as well as to understand how to organize information and understand the facts. Conclusion: This review confirmed that there are growing confirming literatures about the application of concept maps as an effective nursing strategy. It that can be used by nurses and other health care professionals, to maintain healthy feet and prevent further complications such as bruises, cuts and sores.

Effect of hemovigilance education on nursing students’knowledge:the application of a conceptual map

Objective:Given the importance of having knowledge on the hemovigilance process in nursing care,the present study was conducted to investigate the effect of the hemovigilance education on nursing students’knowledge using a conceptual map.The current research was a semi-experimental study.Methods:The samples consisted of 60 nursing students who were selected based on the inclusion criteria using the census sampling method.Thereafter,these participants were randomly assigned into the two groups:experimental and control groups.The required data were collected before,immediately after,and 1 month after the education using the hemovigilance knowledge questionnaire.Accordingly,the validity of this questionnaire was confirmed,and its reliability using the Cronbach’s alpha coefficient was reported as 0.83.The education process was conducted during a 4-week period.Thereafter,the collected data were analyzed using descriptive and inferential statistics by SPSS v25.Results:The results reveal that a significant difference existed between the knowledge scores of students in the experimental group compared with that of the control group during different times(including before,immediately after,and 1 month after the education)(P<0.0001).Of note,hemovigilance education had a significant effect on the students’knowledge(P<0.0001).Conclusions:Due to the effect of the hemovigilance education on the students’knowledge and by applying the conceptual map in the easy transfer of the educational concepts,it is recommended that the results of the present study be used to strengthen the theoretical and clinical education of nursing students.

Using concept maps in cognitive treatment for children with developmental coordination disorder

Children with Developmental Coordination Disorder (DCD) often seem to possess a narrow repertoire of cognitive strategies. In particular, they have difficulties in learning and internalizing the rules and strategies that other people intuitively use to approach common everyday problems. As a result, they often appear to have organizational, planning, memory and learning difficulties. The article proposes using a Concept Map (CM) as a visual strategy to facilitate interaction between a child with DCD, his/her family and therapist, as reflected in Client Centred and cognitive approaches. The CM is used as a method of assisting the child to identify, develop and utilize cognitive strategies in order to manage daily tasks effectively, as a tool in organizing his own therapy and in order to encourage participation. A demonstration of the concept mapping usefulness is brought by a case report. Further uses of concept mapping as a useful strategy within the framework of intervention remain to be studied.

Construct Validation by Hierarchical Bayesian Concept Maps: An Application to the Transaction Cost Economics Theory of the Firm

A concept map is a diagram depicting relationships among concepts which is used as a knowledge representation tool in many knowledge domains. In this paper, we build on the modeling framework of Hui et al. (2008) in order to develop a concept map suitable for testing the empirical evidence of theories. We identify a theory by a set of core tenets each asserting that one set of independent variables affects one dependent variable, moreover every variable can have several operational definitions. Data consist of a selected sample of scientific articles from the empirical literature on the theory under investigation. Our “tenet map” features a number of complexities more than the original version. First the links are two-layer: first-layer links connect variables which are related in the test of the theory at issue;second-layer links represent connections which are found statistically significant. Besides, either layer matrix of link-formation probabilities is block-symmetric. In addition to a form of censoring which resembles the Hui et al. pruning step, observed maps are subject to a further censoring related to second-layer links. Still, we perform a full Bayesian analysis instead of adopting the empirical Bayes approach. Lastly, we develop a three-stage model which accounts for dependence either of data or of parameters. The investigation of the empirical support and consensus degree of new economic theories of the firm motivated the proposed methodology. In this paper, the Transaction Cost Economics view is tested by a tenet map analysis. Both the two-stage and the multilevel models identify the same tenets as the most corroborated by empirical evidence though the latter provides a more comprehensive and complex insight of relationships between constructs.

Non-Traveling Wave Solutions for the (1 + 1)-Dimensional Burgers System by Riccati Equation Mapping Approach

Starting from the symbolic computation system Maple and Riccati equation mapping approach and a linear variable separation approach, a new family of non-traveling wave solutions of the (1 + 1)-dimensional Burgers system is derived.

FUZZY APPROACHING SET AND FUZZYAPPROACHING FUNCTIONAL MAPPING

By establishing the concepts of fuzzy approaching set and fuzzy approaching functional mapping and making research on them, a new method for time series prediction is introduced.

The Outcomes of Integrating Concept Mapping in Nursing Education: An Integrative Review

Purpose: The purpose of this review was to investigate the current state of knowledge about the effectiveness of concept mapping in nursing education. Methods: An integrative review adapted a systematic approach. Also, after an extensive search from different databases, ten articles were retrieved and fully reviewed. Results: The ten reviewed articles were adopted quantitative, qualitative, and mixed method designs. Four main themes were identified: 1) from passive to active learners, 2) establishing new knowledge, 3) improving cognitive abilities, and 4) self-confidences in clinical work. Conclusion: Nursing literature supports the importance of including concept maps in nursing education. Educators believe that concept mapping is a motivating teaching strategy, hence, it is fostering the long-term and meaningful learning. Also, the findings of this study might encourage nursing educators to evaluate the current teaching strategies, also, this review might initiate future studies with larger sample

The Impact of Concept Mapping on Caring Efficacy of Palestinian Nursing Students at Clinical Setting

Background: The rapid change of health care delivery affirms the need for a change in the culture of nursing education through identifying the challenge to nursing faculty that many teach in the way they were taught, and suggesting a focus on the exploration of new teaching methods and student learning, rather than only focus on content coverage. Objectives: To examine the impact of concept mapping on caring efficacy of Palestinian nursing students. Methods: A quasi-experimental design, pre-post test, two groups (intervention and control group) were used. Convenience sample of 80 (40 participants in each group) nursing students from Arab American University, Jenin. Caring Efficacy was measured by Caring Efficacy Scale. The statistical tests such as t-test (independent and paired t-test) were used to examine the effect of concept mapping on caring efficacy of the fourth year nursing students at their clinical training. Results: Independent-samples t-test revealed statistically significant differences between the two groups in caring efficacy (t = 2.589, df = 78, P = 0.011);students in the intervention group showed higher level of caring efficacy than students in the control group during their clinical training. Conclusion: Concept mapping was found to be an effective teaching method for nursing students. The use of concept mapping is useful in enhancing meaningful learning.

Explicit and Exact Solutions to N-Order Schrodinger System via an Extended Mapping Approach

In this paper, we extend the mapping approach to the N-order Schrodinger equation. In terms of the extended mapping approach, new families of variable separation solutions with some arbitrary functions are derived.

Exact Solution to （1＋1）-Dimensional Higher-Order Schrodinger Equation via an Extended Mapping Approach

Starting from a special variable transformation and with the help of an extended mapping approach, the high-order Schrodinger equation （n = 3, 4） is solved. A new family of variable separation solutions with arbitrary functions is derived.

Mapping What They Know: Concept Maps as an Effective Tool for Assessing Students’ Systems Thinking

In 2006 anew biology curriculum called “Human Biology: Emphasizing the Role of Homeostasis” was introduced into the Israeli high school system. Complex systems like those that make up the human body have become increasingly important as a focus of high school education. This study examines the effectiveness of the concept map as a assessment tool for students’ systems thinking, a tool that provides researchers with a detailed picture of the systems thinking development taking place within individual students. The content of the students’ concept maps was translated into information about students’ system thinking using the Systems Thinking Hierarchy (STH) model, a model in which system thinking is categorized according to eight hierarchical characteristics or abilities. The goal was to use the maps to characterize Israeli high school students’ understanding of the body’s systemic nature. To do this, we identified the extent to which the students understand three central elements of systems, namely hierarchy, homeostasis, and dynamism, and then analyzed this understanding according to its place within the hierarchical stages of the STH model. The extensive qualitative data analysis of 48 concept maps made by 11th grade biology majors suggest that the strength of the concept map is in its ability to describe the first two levels of system thinking (analysis and synthesis). However, it proved less successful in eliciting evidence of the third and highest level, particularly of students’ understanding of patterns, of homeostasis and their capacity for temporal thinking.

Study on （2＋1）-Dimensional Nizhnik-Novikov-Veselov Equation by Using Extended Mapping Approach

Extended mapping approach is introduced to solve （2＋1）-dimensional Nizhnik-Novikov Veselov equation. A new type of variable separation solutions is derived with arbitrary functions in the model. Based on this excitation, rich localized structures such as multi-lump soliton and ring soliton are revealed by selecting the arbitrary function appropriately.

Variable Separation Solutions in （1＋1）-Dimensional and （3＋1）-Dimensional Systems via Entangled Mapping Approach

In this paper, the entangled mapping approach （EMA） is applied to obtain variable separation solutions of （1＋1）-dimensional and （3＋1）-dimensional systems. By analysis, we firstly find that there also exists a common formula to describe suitable physical fields or potentials for these （1＋1）-dimensional models such as coupled integrable dispersionless （CID） and shallow water wave equations. Moreover, we find that the variable separation solution of the （3＋1）-dimensional Burgers system satisfies the completely same form as the universal quantity U1 in （2＋1）-dimensional systems. The only difference is that the function q is a solution of a constraint equation and p is an arbitrary function of three independent variables.

A Fuzzy Expert System Architecture for Intelligent Tutoring Systems:A Cognitive Mapping Approach

An Intelligent Tutoring System (ITS) is a computer based instruction tool that attempts to provide individualized instructions based on learner’s educational status. Advances in development of these systems have rose and fell since their emergence. Perhaps the main reason for this is the absence of appropriate framework for ITS development. This paper proposes a framework for designing two main parts of ITSs. Besides development framework, the second main reason for lack of significant advances in ITS development is its development cost. In general, this cost for instructional material is quite high and it becomes more in ITS development. The proposed method can significantly reduce the development cost. The cost reduction mainly is because of characteristics of applied mapping techniques. These maps are human readable and easily understandable by people who are not aware of knowledge representation techniques. The proposed framework is implemented for a graduate course at a technical university in Asia. This experiment provides an individualized instruction which is the main designing purpose of the ITSs.

DEBRA: On the Unsupervised Learning of Concept Hierarchies from (Literary) Text

With this work, we introduce a novel method for the unsupervised learning of conceptual hierarchies, or concept maps as they are sometimes called, which is aimed specifically for use with literary texts, as such distinguishing itself from the majority of research literature on the topic which is primarily focused on building ontologies from a vast array of different types of data sources, both structured and unstructured, to support various forms of AI, in particular, the Semantic Web as envisioned by Tim Berners-Lee. We first elaborate on mutually informing disciplines of philosophy and computer science, or more specifically the relationship between metaphysics, epistemology, ontology, computing and AI, followed by a technically in-depth discussion of DEBRA, our dependency tree based concept hierarchy constructor, which as its name alludes to, constructs a conceptual map in the form of a directed graph which illustrates the concepts, their respective relations, and the implied ontological structure of the concepts as encoded in the text, decoded with standard Python NLP libraries such as spaCy and NLTK. With this work we hope to both augment the Knowledge Representation literature with opportunities for intellectual advancement in AI with more intuitive, less analytical, and well-known forms of knowledge representation from the cognitive science community, as well as open up new areas of research between Computer Science and the Humanities with respect to the application of the latest in NLP tools and techniques upon literature of cultural significance, shedding light on existing methods of computation with respect to documents in semantic space that effectively allows for, at the very least, the comparison and evolution of texts through time, using vector space math.

Mapping Folklore Concepts in Bilingual Processing:Cognitive Analysis

The present study applies Dr.He Yuanjian's CMT(Conceptual Mapping Theory) to focus on the strategy use of translating Chinese folklore concepts in Hong Lou Meng(i.e.indigenous concepts related to etiquettes and customs) by Yang Xianyi and his wife Gladys Yang on the observations of the translators'strategies and the distributional tendencies of translation strategies so as to testify CMT on empirical grounds.Whether it holds true that the preservation of the alien source concepts through translation depends on how successfully they are mapped into the target conceptual system leads to the attempts to study on the distributional tendency of translation strategies of translation tasks,especially,of translating folkloric concepts in this paper.As a result,the tentative outcome of the data observed supports that the concept-mediation theoretic approach to translation process seems able to account for how cognitive constraints affect the production of mapping the unshared concepts.