Evaluation Model In Order Research Articles

Effectiveness of environmental education implementation in promoting participation in sustainable solid waste management Behaviours among the grade 12 pupils of the Zambia’s Chipata City

The aim of this study was to evaluate Environmental Education (EE) effectiveness in promoting sustainable solid waste management behaviours (SSWMBs) among pupils of the Zambia’s Chipata City using Kirkpatrick’s evaluation model in order to ascertain progress, provide feedback on the level of achievement of promoting SSWMBs among pupils as outlined in the Zambian Biology school syllabus and to suggest areas of improvement to the continued EE implementation in Zambian schools. The study was based on cross-sectional exploratory case study design and it used quantitative approach. Quantitative data was collected using a survey questionnaire from 367 randomly selected Grade 12 school pupils from the 4 purposively selected secondary schools of the Zambia’s Chipata City. The study results revealed low levels of effectiveness of environmental education implementation in promoting SSWMBs among Grade 12 pupils of Chipata City, Zambia as only about a third of pupils were currently regularly participating in SSWMBs and the mean for pupil participation in each SSWMBs was less than 3, the mid- point score on a five point frequency score. The results imply that there were a number of barriers to promoting wide adoption of SSWMBs. To enhance the effectiveness of EE implementation in schools, barriers to wide adoption of SSWMBs need to be overcome while the required drivers such as making waste management infrastructure available in accessible locations and incentivising waste management behaviours needed to be put in place. The study recommends in-service training of teachers for them to be competent in the use of pedagogical approaches that would enhance pupils’ technical know-how, experience, skills and deeper understanding of SSWMBs during EE lessons.

Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory.

College English has almost always been a required course, and a college student's level of English proficiency is one of the factors used to assess their learning capacity. The quality of students' English learning is largely influenced by the level of English instruction provided in colleges. However, there are still a lot of issues with college English instruction today, the most glaring of which is that English instruction is being overly simplified, and that the methods, modes, and purposes of instruction are also very narrow. Due to this, it is challenging for most colleges and universities' English teaching levels to satisfy the requirements of high-level education. The PSO-BP neural network model, which optimizes the BP neural network (BPNN), is used in this study to build a high-precision and diversified English teaching evaluation model in order to address the aforementioned issues. According to the experimental findings, the PSO-BPNN algorithm has a relative error of just 0.29 percent and an average accuracy rate of 97.02 percent. Overall performance is superior to that of the conventional BPNN algorithm, and it is the most adaptable in terms of creating various evaluation modes.

A novel order evaluation model with nested probabilistic-numerical linguistic information applied to traditional order grabbing mode

With the popularization of information technology and the acceleration of the people’s pace of life, the takeout food industry is prevailing. The choice of order allocation mode plays an important role in order delivery efficiencies. This paper firstly reviews the whole process of the order grabbing mode and its internal logic, and then analyzes the qualitative and quantitative factors that influence the order distribution efficiency. Next, the order evaluation model is established based on the nested probabilistic-numerical linguistic information. After that, influencing factors of the order allocation modes are established, and the weights of the factors are determined by the AHP method. Finally, the order distribution results are obtained by traditional mode and the novel mode respectively. The comparative analysis and further analysis verify the validity and operability of the novel mode. By comparing the final values of multi-criteria functions between two modes, we conclude that the novel mode improves the allocation efficiency of order grabbing mode. In addition, the proposed mode significantly reduces the service distance and the standard deviation of service distance. The completion rate of delivery orders and the consistency of service level are also greatly improved. The takeout order allocation problem is optimized through the order evaluation model based on the nested probabilistic-numerical linguistic information. The proposed method has guiding effect on similar platforms.

A Comparison of Accountability Models in School Counseling Programs

The purpose of this study is to analyze the strengths and weaknesses of each accountability evaluation model in order to make it easier for counselors to understand it. The method used is qualitative research that focuses on meanings, definitions, characteristics, symbols and explanations of the concepts learned. Research data is collected through literature review and document analysis. In this study, descriptive document analysis methods were used in data analysis. Descriptive analysis method is a method that aims to test the facts and meanings of research systematically. This model is formed based on different initial goals in the implementation of counseling services. The counselor can choose one of the models that are appropriate to the situation and easy to apply in his school. Accountability Evaluation Models of School Counseling Program has advantages and disadvantages of each. The counselor should choose one model that is appropriate to the situation and easy to implement in his school so that the implementation of the school counseling program can be measured and planned in the future.

A multicriteria approach to identify the Highest and Best Use for historical buildings

Abstract The cultural heritage conservation is essential to preserve the memory of monuments, places and territories and to ensure their transmission to the future. This can be pursued through continuous and careful maintenance, which, however, is lost when a place loses its function and becomes prey of neglect and decay. It is easy to understand how fundamental is to assign compatible intended use to safeguard the historical goods. From this perspective, the research proposes an innovative and economic evaluation model in order to identify the Highest and the Best Use (HBU) for the historical buildings that would take into account both their social, cultural and economic identity and the preservation of their integrity and original image. The choice of HBU requires a rational study approach that can employ the Multicriteria Decisional Methods (MCDM). These Methods could allow us to consider not only the financial performance of the restoration and enhancement intervention, but also the wide variety of the effects that it will generate on the territory, by involving the community in the new functions, the employment opportunities and the project's aptitude to encourage the cultural growth, by respecting the historical and architectural values. According to this framework, the research outlines an economic evaluation protocol that implements the Analytic Hierarchy Process (AHP), a hierarchical multicriteria technique consisting in breaking down the complex decision issues into fundamental constituent elements based on multiple criteria and sub-criteria. The protocol consists in a sequence of logical and operational steps that starts from the preliminary selection of possible functional destinations among those technically feasible, urbanistically permissible, economically viable and historical-architecturally compatible; the next definition of evaluation criteria and sub-criteria; the assignment of the weights to the criteria and the scores to the use options; then the implementation of hierarchical analysis algorithms, which return the final ranking of alternatives and thus outline the Highest and the Best Use for the building. Novelty elements concern the rationalization of the phases, the selection of the criteria evaluation according to the international references for the disciplines of the conservation of cultural heritage and the economic evaluation of projects, and finally the formalization of calculation schemes. The model is validated on a real case study: the monumental Palazzo Genovese in Salerno (Italy). Here the goal of researching HBU meets the need to remove the historic building from the current state of abandonment or underuse and to give it back to the citizens, by ensuring the use and the constant care and maintenance. The application demonstrates the practical usefulness of the protocol in decision-making processes for the re-use of architecture in order to maximize the economic benefits and, at the same time, to safeguard its historical and architectural values.

Approach for differentiating trophoblast cell lineage from human induced pluripotent stem cells with retinoic acid in the absence of bone morphogenetic protein 4

IntroductionPlacental transport is the first step in chemotherapeutic safety evaluations during pregnancy. However, a well-established in vitro model is not available. We previously reported that a trophoblast layer model using differentiating choriocarcinoma JEG-3 cells (DJEGs) can be used for placental drug transport studies. However, it was necessary to increase the similarities between the syncytiotrophoblast, the main layer of the placental barrier, and the in vitro evaluation model in order for the model to be useful for placental drug transport evaluations. We focused on in vivo similarities of differentiating induced pluripotent stem cells (iPSCs). iPSCs can achieve a syncytiotrophoblast-like form and secrete human chorionic gonadotropin (hCG) following bone morphogenetic protein 4 (BMP4) treatment. However, BMP4-treated iPSCs can differentiate into several cell types. In the placental transport model, a dense syncytiotrophoblast cell layer is necessary for appropriate differentiation. MethodsThe conditions permitting differentiation of iPSCs into syncytiotrophoblasts with retinoic acid (RA) treatment without BMP4 were investigated. The presence of syncytiotrophoblast-like cells was confirmed by measurement of mRNA expression levels of breast cancer resistance protein (BCRP) and paternally expressed 10 (PEG10) in syncytiotrophoblasts. In addition, immunofluorescence imaging of cytokeratin 7 (CK7) induced in trophoblasts was performed. Resultsand Discussion: RA-induced iPSCs exhibited these syncytiotrophoblast-like features and hCG secretion was maintained for at least 28 days after treatment with RA (500 nM) without BMP4. These results suggest that RA-induced iPSCs are a suitable in vitro syncytiotrophoblast model that can be used as an indicator of drug placental transport for pharmacotherapy during pregnancy.

Supply Chain Performance Evaluation With Rough Two-Stage Data Envelopment Analysis Model: Noncooperative Stackelberg Game Approach

Rapidly changing environment has affected organizations' ability to maintain viability. As a result, various criteria and uncertain situations in a complex environment encounter problems when using the traditional performance evaluation with precise and deterministic data. The purpose of this paper is to propose an applicable model for evaluating the performance of the overall supply chain (SC) network and its members. Performance evaluation methods, which do not include uncertainty, obtain inferior results. To overcome this, rough set theory (RST) was used to deal with such uncertain data and extend rough noncooperative Stackelberg data envelopment analysis (DEA) game to construct a model to evaluate the performance of supply chain under uncertainty. This applies the concept of Stackelberg game/leader–follower in order to develop models for measuring performance. The ranking method of noncooperative two-stage rough DEA model is discussed. While developing the model, which is suitable to evaluate the performance of the supply chain network and its members when it operates in uncertain situations and involves a high degree of vagueness. The application of this paper provides a valuable procedure for performance evaluation in other industries. The proposed model provides useful insights for managers on the measurement of supply chain efficiency in uncertain environment. This paper creates a new perspective into the use of performance evaluation model in order to support managerial decision-making in the dynamic environment and uncertain situations.

Evaluating walkability: a capability-wise planning and design support system

We present a methodology and a planning and design support software tool for evaluating walkability and pedestrian accessibility of places which are relevant for people’s capabilities, and thus an important component of quality of life in cities. A multicriteria evaluation model, at the core of the decision support system, is used to assign walkability scores to points in urban space. Walkability scores are obtained through algorithms which process spatial data and run the evaluation model in order to derive potential pedestrian routes along the street network, taking into account the quality of urban space on several attributes relevant for walkability. One of its notable characteristics is a certain reversal of perspective in evaluating walkability: the walkability score of a place does not reflect how that place is per se walkable, but instead how and where to can one walk from there, that is to say, what is the walkability the place is endowed with. This evaluation incorporates three intertwined elements: the number of destinations/opportunities reachable by foot, their walking distances, and the quality of the paths to these destinations. In this article, we furthermore demonstrate possible uses of the support system by reporting and discussing the results of a case-study assessment of a project for the Lisbon’s Segunda Circular (Second Ring Road). The software tool is made freely available for download.

Online Order Priority Evaluation Based on Hybrid Harmony Search Algorithm of Optimized Support Vector Machines

To make production plan, online order priority evaluation is the current priority weakness of online order evaluation model. This thesis proposes an online order priority evaluation model based on hybrid harmony search algorithm of optimized support vector machine (HHS-SVM). Firstly, an online order priority evaluation index system is build, and then support vector machine is adopted to build an online order priority evaluation model; secondly, harmony search algorithm is used to optimize the parameters of support vector machine; what's more, in the parameter optimization process the foraging behavior of AFSA is introduced to improve the ability and convergence speed of algorithm escaping from the local optimal solution; finally, simulation test is used to test the performance of the model. The simulation results show that HHS-SVM improves the accuracy of the online order priority evaluation relative to the comparison model. What's more, the online order priority evaluation model is feasible and effective.

A thermal control system for long-term survival of scientific instruments on lunar surface

A thermal control system is being developed for scientific instruments placed on the lunar surface. This thermal control system, Lunar Mission Survival Module (MSM), was designed for scientific instruments that are planned to be operated for over a year in the future Japanese lunar landing mission SELENE-2. For the long-term operations, the lunar surface is a severe environment because the soil (regolith) temperature varies widely from nighttime -200 degC to daytime 100 degC approximately in which space electronics can hardly survive. The MSM has a tent of multi-layered insulators and performs a "regolith mound". Temperature of internal devices is less variable just like in the lunar underground layers. The insulators retain heat in the regolith soil in the daylight, and it can keep the device warm in the night. We conducted the concept design of the lunar survival module, and estimated its potential by a thermal mathematical model on the assumption of using a lunar seismometer designed for SELENE-2. Thermal vacuum tests were also conducted by using a thermal evaluation model in order to estimate the validity of some thermal parameters assumed in the computed thermal model. The numerical and experimental results indicated a sufficient survivability potential of the concept of our thermal control system.

Application of Fuzzy Comprehensive Evaluation on COGAG Power Plant of Performance

A fuzzy comprehensive evaluation of COGAG power plant performance is given by using a method of fuzzy mathematics, and multilevel fuzzy evaluation model is set up. Taking a naval ship as an example, the major parameters related to COGAG power plant performance are obtained by computer simulation, and a set of synthetic performance evaluation index system is established. The result shows that the strong fuzzy propulsion system performance indexes can be quantified by this fuzzy evaluation model in order to provide the reference for choosing the optimal design of ship propulsion system.

Naturfaglig kompetence og IBSE – Model for evaluering af elevers kompetenceudvikling i undersøgelsesbaseret naturfagsundervisning <br /> Science competence and IBSE

The object of this article is to generate the theoretical and methodological foundation in order for researchers and educators to be able to evaluate teaching, which is inspired by Inquiry Based Science Education. Science teaching in subsequent developmental projects can be evaluated as to its ability to enhance the science competencies of the pupils. The foundation consists of the integration of the characteristics of IBSE-inspired teaching with learning outcomes in terms of science competence and its four sub-competencies: investigative competence, representative competence, modeling competence and perspective competence. The theory and method will be tested and evaluated in an upcoming developmental project in four University Colleges in Denmark, where there will be developmental as well as research focus on the integration of the two perspectives, a methodological – IBSE – and a goal-oriented – science competence. The complexity of the developmental project must be reflected by a complexity of the research process, wherefore this article presents and discusses a three dimensional evaluation model in order for the researcher to be able to investigate relations between IBSE-inspired teaching and learning outcomes in terms of science competencies.Results from the subsequent research process are expected to highlight the links between a teaching method and learning outcomes and give answers to critical questions about the goals of IBSE-inspired teaching, and also give answers about the relevance of a matrix described competence model for science teaching practice.

Model of service-oriented catering supply chain performance evaluation

Purpose: The aim of this paper is constructing a performance evaluation model for service-oriented catering supply chain. Design/methodology/approach: With the research on the current situation of catering industry, this paper summarized the characters of the catering supply chain, and then presents the service-oriented catering supply chain model based on the platform of logistics and information. At last, the fuzzy AHP method is used to evaluate the performance of service-oriented catering supply chain. Findings: With the analysis of the characteristics of catering supply chain, we construct the performance evaluation model in order to guarantee the food safety, logistics efficiency, price stability and so on. Practical implications: In order to evolve an efficient and effective service supply chain, it can not only used to own enterprise improvement, but also can be used for selecting different customers, to choose a different model of development. Originality/value: This paper has a new definition of service-oriented catering supply chain. And it offers a model to evaluate the performance of this catering supply chain.

Developing the Green Building Challenge (GBC) evaluation model: a multidimensional framework for the assessment of regional and urban regeneration interventions

The enhancement process of urban systems is currently developed by interventions with increasing complexity, as they should achieve the economical and social requirements of sustainability, beside the environmental ones. This is a central issue that is growing in importance also at the neighborhood level. Within the present sustainability assessment tools at neighborhood level, this paper suggests the Local Sustainability Index (Lo.S.I.) evaluation model in order to measure the efforts to achieve a satisfying degree of sustainability in regional and urban regeneration interventions, both enhancing/transferring new knowledge about the present condition and the possible development options of abandoned urban areas.

PERANCANGAN MODEL PENERIMAAN DAN EVALUASI PESANAN PADA INDUSTRI KEMASAN KARTON YANG BERBASISKAN MAKE TO ORDER

Nowadays, carton boxes are very popularly used, mostly in food industries, pharmacy and other consumer products. Most carton box industries work base on customer order (Make-to-order company), because most of carton box order are prepared for particular customer. Carton box are not only used for containing and protecting the product, but also functioned to inform the product to the customers. Make-to-order company has a high level of uncertainty such as the type and design of the product, the step of production, production time, cost, equipments and machine. This could create further problems; the overdue of order and completing process, and the acceptability of the product. This research is intended to design an order processing model for the carton box industry to accelerate order receipt process and evaluate the feasibility of the order. This paper focused on two models, those are the order entry model and order evaluation model. In order entry model, product code is given, and calculation model for needed raw material is made by using mathematical formulation. In order evaluation model, expert system and decision tree are used for analyzing the process capability and selecting machinery as well as designing the steps of production.

The Unique Challenges Posed by Mock Trial: Evaluation and Assessment of a Simulation Course

Simulations in political science and pre-law courses are used as a tool for student engagement and classroom interaction and to get students interested in politics and law by engaging them in either the political or legal process. Much of the literature addresses how to conduct various simulations for particular classes, what the students learned from this hands-on experience, and how the simulation compares to a more traditionally taught course. Student assessment is typically based on a reflective paper or may include questions on an exam. This paper diverges from “student reaction” assessments and attempts to fill a gap in the literature by building an assessment and evaluation model in order to assign a fair grade for Mock Trial, a simulation-based course that spans two semesters and January term.

A framework of order evaluation and negotiation for SMMEs in networked manufacturing environments

In the context of enhancing the manufacturing abilities of Chinese small- and medium-sized manufacturing enterprises (SMMEs), the present paper reports on a framework of order evaluation and negotiation of collaborative manufacturing for SMMEs in networked manufacturing environments. First, the background and problem domain are introduced. Then the information required to evaluate and negotiate orders is examined in a collaborative manufacturing process. Based on this information, a framework of order evaluation is built on the profit and due date, and then an order negotiation model framework, combined with an order evaluation model, is also presented. At the same time, a standardized negotiation process is described in more detail. Finally, a case study is presented to illustrate how business-to-business SMMEs evaluate and negotiate an order with a business-to-customer SMME to obtain the best profit-due date trade-off.

Packaging handling evaluation methods in the grocery retail industry

AbstractThe grocery retail industry, with its large product volumes, low margins and fierce competition, is constantly seeking efficiency improvements in its supply chain. The grocery retail industry uses an immense amount of packaging and is directly affected by packaging logistics activities. There is, therefore, a potential for efficiency improvements in the grocery retail supply chain through the integration and development of new systems of packaging and logistics. Packaging handling is identified as one of the main activities that has a strong impact on the overall logistical cost of a grocery chain. This research article investigates packaging handling evaluation methods and discusses how these are employed to benefit the industry. Case studies, involving six major companies from the Swedish grocery retail industry, have been used to evaluate packaging and logistics activities. This work, together with a literature review, was used to identify the need for evaluative methods and the present availability of such methods. The results indicated a lack of sufficient and usable packaging handling evaluation methods in today's grocery and packaging industry especially from a logistical point of view. The paper also highlights the lack of systematization among the few methods used and discusses how these can be used to build a systematic and multifunctional evaluation model in order to utilize the information from different studies to build a knowledge base for the future. Copyright © 2001 John Wiley & Sons, Ltd.

Active Microvibration Control of an Optical Payload Installed on the ARTEMIS Spacecraft

This paper presents a feasibility study for the vibration control of the SILEX optical payload installed on the European ARTEMIS advanced telecommunication satellite. Due to its stringent pointing requirements (being approximately a few microradiants) the payload is particularly sensitive to the transmitted microvibrational disturbances. The vibration suppression problem has been addressed using piezoceramic strain actuators bonded to the payload support structure and designing a high control authority linear quadratic compensator. The plant mathematical model was obtained through a NASTRAN finite element modeling of the payload structure equipped with the surface bonded piezoceramic strain actuators. This high order evaluation model has successively been reduced to a lower order design model using static condensation (Guyan) and modal reduction techniques. Different criteria have been applied in order to check for the controllability of the system. The LQR compensator design was based on the minimization of a quadratic performance index of state and control vectors which included the output behavior. A comparison between the open and closed loop system behavior was carried out for different disturbance inputs and different control weights.