Public Librarians as Partners in Problem-Based Learning in Secondary Schools: A Case Study in Finland

ERIC Educational Resources Information Center

Pietikäinen, Virpi; Kortelainen, Terttu; Siklander, Pirkko

2017-01-01

Introduction: Teachers in Finland are demanded to develop students' competencies in information literacy. However, they can meet this demand only by collaborating with public librarians. The aim in this case study was to explore the perspectives of teachers, librarians and students in a problem-based project and to analyse the advantages and…

Problem-based learning in optical engineering studies

NASA Astrophysics Data System (ADS)

Voznesenskaya, Anna

2016-09-01

Nowadays, the Problem-Based Learning (PBL) is one of the most prospective educational technologies. PBL is based on evaluation of learning outcomes of a student, both professional and personal, instead of traditional evaluation of theoretical knowledge and selective practical skills. Such an approach requires changes in the curricula development. There should be introduced projects (cases) imitating real tasks from the professional life. These cases should include a problem summary with necessary theoretic description, charts, graphs, information sources etc, task to implement and evaluation indicators and criteria. Often these cases are evaluated with the assessment-center method. To motivate students for the given task they could be divided into groups and have a contest. Whilst it looks easy to implement in social, economic or teaching fields PBL is pretty complicated in engineering studies. Examples of cases in the first-cycle optical engineering studies are shown in this paper. Procedures of the PBL implementation and evaluation are described.

Teacher Mathematical Literacy: Case Study of Junior High School Teachers in Pasaman

NASA Astrophysics Data System (ADS)

Ahmad, D.; Suherman, S.; Maulana, H.

2018-04-01

The aim of this paper was to examine the ability of junior high school mathematics teachers to solve mathematical literacy base Problems (PISA and PISA-like problems) for the case Pasaman regency. The data was collected by interviews and test. As the results of this study, teacher ability in solving mathematical literacy base problems for level 1 until 3 has been good, but for level 4 or above is still low. It is caused by teacher knowledge about mathematical literacy still few.

Problem solving strategies used by RN-to-BSN students in an online problem-based learning course.

PubMed

Oldenburg, Nancy L; Hung, Wei-Chen

2010-04-01

It is essential that nursing students develop the problem solving and critical thinking skills required in the current health care environment. Problem-based learning has been promoted as a way to help students acquire those skills; however, gaps exist in the knowledge base of the strategies used by learners. The purpose of this case study was to gain insight into the problem solving experience of a group of six RN-to-BSN students in an online problem-based learning course. Data, including discussion transcripts, reflective papers, and interview transcripts, were analyzed using a qualitative approach. Students expanded their use of resources and resolved the cases, identifying relevant facts and clinical applications. They had difficulty communicating their findings, establishing the credibility of sources, and offering challenging feedback. Increased support and direction are needed to facilitate the development of problem solving abilities of students in the problem-based learning environment.

Case study: use of problem-based learning to develop students' technical and professional skills

NASA Astrophysics Data System (ADS)

Warnock, James N.; Mohammadi-Aragh, M. Jean

2016-03-01

Problem-based learning (PBL) is a pedagogy that has attracted attention for many biomedical engineering curricula. The aim of the current study was to address the research question, 'Does PBL enable students to develop desirable professional engineering skills?' The desirable skills identified were communication, teamwork, problem solving and self-directed learning. Forty-seven students enrolled in a biomedical materials course participated in the case study. Students worked in teams to complete a series of problems throughout the semester. The results showed that students made significant improvements in their problem-solving skills, written communication and self-directed learning. Students also demonstrated an ability to work in teams and communicate orally. In conclusion, this case study provides empirical evidence of the efficacy of PBL on student learning. We discuss findings from our study and provide observations of student performance and perceptions that could be useful for faculty and researchers interested in PBL for biomedical engineering education.

Implementing a Case-Based E-Learning Environment in a Lecture-Oriented Anaesthesiology Class: Do Learning Styles Matter in Complex Problem Solving over Time?

ERIC Educational Resources Information Center

Choi, Ikseon; Lee, Sang Joon; Kang, Jeongwan

2009-01-01

This study explores how students' learning styles influence their learning while solving complex problems when a case-based e-learning environment is implemented in a conventional lecture-oriented classroom. Seventy students from an anaesthesiology class at a dental school participated in this study over a 3-week period. Five learning-outcome…

The Effect of a Case-Based Reasoning Instructional Model on Korean High School Students' Awareness in Climate Change Unit

ERIC Educational Resources Information Center

Jeong, Jinwoo; Kim, Hyoungbum; Chae, Dong-hyun; Kim, Eunjeong

2014-01-01

The purpose of this study is to investigate the effects of the case-based reasoning instructional model on learning about climate change unit. Results suggest that students showed interest because it allowed them to find the solution to the problem and solve the problem for themselves by analogy from other cases such as crossword puzzles in an…

Case Problems for Problem-Based Pedagogical Approaches: A Comparative Analysis

ERIC Educational Resources Information Center

Dabbagh, Nada; Dass, Susan

2013-01-01

A comparative analysis of 51 case problems used in five problem-based pedagogical models was conducted to examine whether there are differences in their characteristics and the implications of such differences on the selection and generation of ill-structured case problems. The five pedagogical models were: situated learning, goal-based scenario,…

Laboratory Based Case Studies: Closer to the Real World

ERIC Educational Resources Information Center

Dinan, Frank J.

2005-01-01

Case-based laboratories offer students the chance to approximate real science. Based on interesting stories that pose problems requiring experimental solutions, they avoid the cookbook approach characteristic of traditional undergraduate laboratory instruction. Instead, case-based laboratories challenge students to develop, as much as possible,…

Exploring Small Group Analysis of Instructional Design Cases in Online Learning Environments

ERIC Educational Resources Information Center

Trespalacios, Jesus

2017-01-01

The case-based approach is a constructivist instructional strategy that helps students apply their emerging knowledge by studying design problems in authentic real-world situations. One important instructional strategy in case-based instruction is to analyze cases in small groups before discussing them with the whole class. This study investigates…

Putting the Learning in Case Learning? The Effects of Case-Based Approaches on Student Knowledge, Attitudes, and Engagement

ERIC Educational Resources Information Center

Krain, Matthew

2016-01-01

This study revisits case learning's effects on student engagement and assesses student learning as a result of the use of case studies and problem-based learning. The author replicates a previous study that used indirect assessment techniques to get at case learning's impact, and then extends the analysis using a pre- and post-test experimental…

Use of Computer-Based Case Studies in a Problem-Solving Curriculum.

ERIC Educational Resources Information Center

Haworth, Ian S.; And Others

1997-01-01

Describes the use of three case studies, on computer, to enhance problem solving and critical thinking among doctoral pharmacy students in a physical chemistry course. Students are expected to use specific computer programs, spreadsheets, electronic mail, molecular graphics, word processing, online literature searching, and other computer-based…

Design and Facilitation of Problem-Based Learning in Graduate Teacher Education: An MA TESOL Case

ERIC Educational Resources Information Center

Caswell, Cynthia Ann

2016-01-01

This exploratory, evaluative case study introduces a new context for problem-based learning (PBL) involving an iterative, modular approach to curriculum-wide delivery of PBL in an MA TESOL program. The introduction to the curriculum context provides an overview of the design and delivery features particular to the situation. The delivery approach…

Case-based learning facilitates critical thinking in undergraduate nutrition education: students describe the big picture.

PubMed

Harman, Tara; Bertrand, Brenda; Greer, Annette; Pettus, Arianna; Jennings, Jill; Wall-Bassett, Elizabeth; Babatunde, Oyinlola Toyin

2015-03-01

The vision of dietetics professions is based on interdependent education, credentialing, and practice. Case-based learning is a method of problem-based learning that is designed to heighten higher-order thinking. Case-based learning can assist students to connect education and specialized practice while developing professional skills for entry-level practice in nutrition and dietetics. This study examined student perspectives of their learning after immersion into case-based learning in nutrition courses. The theoretical frameworks of phenomenology and Bloom's Taxonomy of Educational Objectives triangulated the design of this qualitative study. Data were drawn from 426 written responses and three focus group discussions among 85 students from three upper-level undergraduate nutrition courses. Coding served to deconstruct the essence of respondent meaning given to case-based learning as a learning method. The analysis of the coding was the constructive stage that led to configuration of themes and theoretical practice pathways about student learning. Four leading themes emerged. Story or Scenario represents the ways that students described case-based learning, changes in student thought processes to accommodate case-based learning are illustrated in Method of Learning, higher cognitive learning that was achieved from case-based learning is represented in Problem Solving, and Future Practice details how students explained perceived professional competency gains from case-based learning. The skills that students acquired are consistent with those identified as essential to professional practice. In addition, the common concept of Big Picture was iterated throughout the themes and demonstrated that case-based learning prepares students for multifaceted problems that they are likely to encounter in professional practice. Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Hybrid Problem-Based Learning in Digital Image Processing: A Case Study

ERIC Educational Resources Information Center

Tan, Songxin; Shen, Zixing

2018-01-01

Contribution: This paper reports a curriculum development in hybrid problem-based learning (h-PBL), addresses the design, implementation, effectiveness, and assessment issues of h-PBL, and explains the mixed results observed regarding the impact of problem-based learning (PBL) on student grades from a hybrid perspective. Background: The effect of…

Problem-Based Learning in an Online Course: A Case Study

ERIC Educational Resources Information Center

Cheaney, James D.; Ingebritsen, Thomas S.

2005-01-01

Problem-based learning (PBL) is the use of a "real world" problem or situation as a context for learning. The present study explores the use of PBL in an online biotechnology course. In the PBL unit, student groups dealt with the ethical, legal, social, and human issues surrounding pre-symptomatic DNA testing for a genetic disease. Issues…

Reflections on Language and Mathematics Problem Solving: A Case Study of a Bilingual First-Grade Teacher

ERIC Educational Resources Information Center

Musanti, Sandra I.; Celedon-Pattichis, Sylvia; Marshall, Mary E.

2009-01-01

This case study investigates a professional development initiative in which a first-grade bilingual teacher engages in learning and teaching Cognitively Guided Instruction, a framework for understanding student thinking through context-rich word-problem lessons. The study explores (a) the impact of classroom-based professional development on a…

Case-based reasoning in design: An apologia

NASA Technical Reports Server (NTRS)

Pulaski, Kirt

1990-01-01

Three positions are presented and defended: the process of generating solutions in problem solving is viewable as a design task; case-based reasoning is a strong method of problem solving; and a synergism exists between case-based reasoning and design problem solving.

Using standardized patients versus video cases for representing clinical problems in problem-based learning.

PubMed

Yoon, Bo Young; Choi, Ikseon; Choi, Seokjin; Kim, Tae-Hee; Roh, Hyerin; Rhee, Byoung Doo; Lee, Jong-Tae

2016-06-01

The quality of problem representation is critical for developing students' problem-solving abilities in problem-based learning (PBL). This study investigates preclinical students' experience with standardized patients (SPs) as a problem representation method compared to using video cases in PBL. A cohort of 99 second-year preclinical students from Inje University College of Medicine (IUCM) responded to a Likert scale questionnaire on their learning experiences after they had experienced both video cases and SPs in PBL. The questionnaire consisted of 14 items with eight subcategories: problem identification, hypothesis generation, motivation, collaborative learning, reflective thinking, authenticity, patient-doctor communication, and attitude toward patients. The results reveal that using SPs led to the preclinical students having significantly positive experiences in boosting patient-doctor communication skills; the perceived authenticity of their clinical situations; development of proper attitudes toward patients; and motivation, reflective thinking, and collaborative learning when compared to using video cases. The SPs also provided more challenges than the video cases during problem identification and hypotheses generation. SPs are more effective than video cases in delivering higher levels of authenticity in clinical problems for PBL. The interaction with SPs engages preclinical students in deeper thinking and discussion; growth of communication skills; development of proper attitudes toward patients; and motivation. Considering the higher cost of SPs compared with video cases, SPs could be used most advantageously during the preclinical period in the IUCM curriculum.

Comparison of three problem-based learning conditions (real patients, digital and paper) with lecture-based learning in a dermatology course: a prospective randomized study from China.

PubMed

Li, Jie; Li, Qing Ling; Li, Ji; Chen, Ming Liang; Xie, Hong Fu; Li, Ya Ping; Chen, Xiang

2013-01-01

The precise effect and the quality of different cases used in dermatology problem-based learning (PBL) curricula are yet unclear. To prospectively compare the impact of real patients, digital, paper PBL (PPBL) and traditional lecture-based learning (LBL) on academic results and student perceptions. A total of 120 students were randomly allocated into either real-patients PBL (RPBL) group studied via real-patient cases, digital PBL (DPBL) group studied via digital-form cases, PPBL group studied via paper-form cases, or conventional group who received didactic lectures. Academic results were assessed through review of written examination, objective structured clinical examination and student performance scores. A five-point Likert scale questionnaire was used to evaluate student perceptions. Compared to those receiving lectures only, all PBL participants had better results for written examination, clinical examination and overall performance. Students in RPBL group exhibited better overall performance than those in the other two PBL groups. Real-patient cases were more effective in helping develop students' self-directed learning skills, improving their confidence in future patient encounters and encouraging them to learn more about the discussed condition, compared to digital and paper cases. Both real patient and digital triggers are helpful in improving students' clinical problem-handling skills. However, real patients provide greater benefits to students.

Knowledge acquisition for case-based reasoning systems

NASA Technical Reports Server (NTRS)

Riesbeck, Christopher K.

1988-01-01

Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar problems. The CBR approach offers several potential advantages over rule-based reasoning: rules are not combined blindly in a search for solutions, solutions can be explained in terms of concrete examples, and performance can improve automatically as new problems are solved and added to the case library. Moving CBR for the university research environment to the real world requires smooth interfaces for getting knowledge from experts. Described are the basic elements of an interface for acquiring three basic bodies of knowledge that any case-based reasoner requires: the case library of problems and their solutions, the analysis rules that flesh out input problem specifications so that relevant cases can be retrieved, and the adaptation rules that adjust old solutions to fit new problems.

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

PubMed

El-Sappagh, Shaker; Elmogy, Mohammed; Riad, A M

2015-11-01

Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expert thinking can solve many problems especially medical ones. Knowledge-intensive CBR using formal ontologies is an evolvement of this paradigm. Ontologies can be used for case representation and storage, and it can be used as a background knowledge. Using standard medical ontologies, such as SNOMED CT, enhances the interoperability and integration with the health care systems. Moreover, utilizing vague or imprecise knowledge further improves the CBR semantic effectiveness. This paper proposes a fuzzy ontology-based CBR framework. It proposes a fuzzy case-base OWL2 ontology, and a fuzzy semantic retrieval algorithm that handles many feature types. This framework is implemented and tested on the diabetes diagnosis problem. The fuzzy ontology is populated with 60 real diabetic cases. The effectiveness of the proposed approach is illustrated with a set of experiments and case studies. The resulting system can answer complex medical queries related to semantic understanding of medical concepts and handling of vague terms. The resulting fuzzy case-base ontology has 63 concepts, 54 (fuzzy) object properties, 138 (fuzzy) datatype properties, 105 fuzzy datatypes, and 2640 instances. The system achieves an accuracy of 97.67%. We compare our framework with existing CBR systems and a set of five machine-learning classifiers; our system outperforms all of these systems. Building an integrated CBR system can improve its performance. Representing CBR knowledge using the fuzzy ontology and building a case retrieval algorithm that treats different features differently improves the accuracy of the resulting systems. Copyright © 2015 Elsevier B.V. All rights reserved.

Toward a Biology of Menopause.

ERIC Educational Resources Information Center

Goodman, Madeleine

1980-01-01

Discusses research dealing with the study of menopause. Underscores the problems with the case study method. Discusses two population-based studies and the problems of age adjustment and measurement in menopause research. Highlights alternate research strategies. (MK)

Case Designs for Ill-Structured Problems: Analysis and Implications for Practice

ERIC Educational Resources Information Center

Dabbagh, Nada; Blijd, Cecily Williams

2009-01-01

This study is a third in a series of studies that examined students' information seeking and problem solving behaviors while interacting with one of two types of web-based representations of an ill-structured instructional design case: hierarchical (tree-like) and heterarchical (network-like). A Java program was used to track students' hypermedia…

Quantitative Evaluation of Third Year Medical Students' Perception and Satisfaction from Problem Based Learning in Anatomy: A Pilot Study of the Introduction of Problem Based Learning into the Traditional Didactic Medical Curriculum in Nigeria

ERIC Educational Resources Information Center

Saalu, L. C.; Abraham A. A.; Aina, W. O.

2010-01-01

Problem-based learning (PBL) is a method of teaching that uses hypothetical clinical cases, individual investigation and group process. In recent years, in medical education, problem-based learning (PBL) has increasingly been adopted as the preferred pedagogy in many countries around the world. Controversy, however, still exists as the potential…

Case Reports, Case Series - From Clinical Practice to Evidence-Based Medicine in Graduate Medical Education.

PubMed

Sayre, Jerry W; Toklu, Hale Z; Ye, Fan; Mazza, Joseph; Yale, Steven

2017-08-07

Case reports and case series or case study research are descriptive studies that are prepared for illustrating novel, unusual, or atypical features identified in patients in medical practice, and they potentially generate new research questions. They are empirical inquiries or investigations of a patient or a group of patients in a natural, real-world clinical setting. Case study research is a method that focuses on the contextual analysis of a number of events or conditions and their relationships. There is disagreement among physicians on the value of case studies in the medical literature, particularly for educators focused on teaching evidence-based medicine (EBM) for student learners in graduate medical education. Despite their limitations, case study research is a beneficial tool and learning experience in graduate medical education and among novice researchers. The preparation and presentation of case studies can help students and graduate medical education programs evaluate and apply the six American College of Graduate Medical Education (ACGME) competencies in the areas of medical knowledge, patient care, practice-based learning, professionalism, systems-based practice, and communication. A goal in graduate medical education should be to assist residents to expand their critical thinking, problem-solving, and decision-making skills. These attributes are required in the teaching and practice of EBM. In this aspect, case studies provide a platform for developing clinical skills and problem-based learning methods. Hence, graduate medical education programs should encourage, assist, and support residents in the publication of clinical case studies; and clinical teachers should encourage graduate students to publish case reports during their graduate medical education.

Environmental Learning Using a Problem-Based Approach in the Field: A Case Study of a Hong Kong School

ERIC Educational Resources Information Center

Kwan, Tammy; So, Max

2008-01-01

This study investigated the environmental learning of a group of senior geography students through a problem-based learning (PBL) field programme to see if the goals of education "for" the environment could be accomplished. In the PBL field programme, the students were given a problem statement concerning a real-life scenario of an old…

Problem-Based Learning in Formal and Informal Learning Environments

ERIC Educational Resources Information Center

Shimic, Goran; Jevremovic, Aleksandar

2012-01-01

Problem-based learning (PBL) is a student-centered instructional strategy in which students solve problems and reflect on their experiences. Different domains need different approaches in the design of PBL systems. Therefore, we present one case study in this article: A Java Programming PBL. The application is developed as an additional module for…

Using standardized patients versus video cases for representing clinical problems in problem-based learning

PubMed Central

2016-01-01

Purpose: The quality of problem representation is critical for developing students’ problem-solving abilities in problem-based learning (PBL). This study investigates preclinical students’ experience with standardized patients (SPs) as a problem representation method compared to using video cases in PBL. Methods: A cohort of 99 second-year preclinical students from Inje University College of Medicine (IUCM) responded to a Likert scale questionnaire on their learning experiences after they had experienced both video cases and SPs in PBL. The questionnaire consisted of 14 items with eight subcategories: problem identification, hypothesis generation, motivation, collaborative learning, reflective thinking, authenticity, patient-doctor communication, and attitude toward patients. Results: The results reveal that using SPs led to the preclinical students having significantly positive experiences in boosting patient-doctor communication skills; the perceived authenticity of their clinical situations; development of proper attitudes toward patients; and motivation, reflective thinking, and collaborative learning when compared to using video cases. The SPs also provided more challenges than the video cases during problem identification and hypotheses generation. Conclusion: SPs are more effective than video cases in delivering higher levels of authenticity in clinical problems for PBL. The interaction with SPs engages preclinical students in deeper thinking and discussion; growth of communication skills; development of proper attitudes toward patients; and motivation. Considering the higher cost of SPs compared with video cases, SPs could be used most advantageously during the preclinical period in the IUCM curriculum. PMID:26923094

Addressing Problems Encountered in Case-Based Teaching

ERIC Educational Resources Information Center

Turgeon, A. J.

2007-01-01

TURF 436 (Case Studies in Turfgrass Management) is the capstone course for turfgrass science majors at the Pennsylvania State University. Students are introduced to problems and complex problematic situations encountered in the management of golf and sports turf and in professional lawn-care operations. Following completion of the orientation case…

An Analysis of Looking Back Method in Problem-Based Learning: Case Study on Congruence and Similarity in Junior High School

NASA Astrophysics Data System (ADS)

Kosasih, U.; Wahyudin, W.; Prabawanto, S.

2017-09-01

This study aims to understand how learners do look back their idea of problem solving. This research is based on qualitative approach with case study design. Participants in this study were xx students of Junior High School, who were studying the material of congruence and similarity. The supporting instruments in this research are test and interview sheet. The data obtained were analyzed by coding and constant-comparison. The analysis find that there are three ways in which the students review the idea of problem solving, which is 1) carried out by comparing answers to the completion measures exemplified by learning resources; 2) carried out by examining the logical relationship between the solution and the problem; and 3) carried out by means of confirmation to the prior knowledge they have. This happens because most students learn in a mechanistic way. This study concludes that students validate the idea of problem solving obtained, influenced by teacher explanations, learning resources, and prior knowledge. Therefore, teacher explanations and learning resources contribute to the success or failure of students in solving problems.

Arts-Based Learning and Leadership Development: A Case Study

ERIC Educational Resources Information Center

Brenner, Michael Yoel

2010-01-01

This qualitative case study was designed to explore how participants in an arts-based leadership development program learned to draw on their right brain capabilities in order to develop the creative competencies required to solve complex modern-day problems in new and different ways. The rationale for this study emerges from the researcher's…

Case Study: Use of Problem-Based Learning to Develop Students' Technical and Professional Skills

ERIC Educational Resources Information Center

Warnock, James N.; Mohammadi-Aragh, M. Jean

2016-01-01

Problem-based learning (PBL) is a pedagogy that has attracted attention for many biomedical engineering curricula. The aim of the current study was to address the research question, "Does PBL enable students to develop desirable professional engineering skills?" The desirable skills identified were communication, teamwork, problem…

Digital Story-Based Problem Solving Applications: Preservice Primary Teachers' Experiences and Future Integration Plans

ERIC Educational Resources Information Center

Kilic, Çigdem; Sancar-Tokmak, Hatice

2017-01-01

This case study investigates how preservice primary school teachers describe their experiences with digital story-based problem solving applications and their plans for the future integration of this technology into their teaching. Totally 113 preservice primary school teachers participated in the study. Data collection tools included a…

Cognition of an expert tackling an unfamiliar conceptual physics problem

NASA Astrophysics Data System (ADS)

Schuster, David; Undreiu, Adriana

2009-11-01

We have investigated and analyzed the cognition of an expert tackling a qualitative conceptual physics problem of an unfamiliar type. Our goal was to elucidate the detailed cognitive processes and knowledge elements involved, irrespective of final solution form, and consider implications for instruction. The basic but non-trivial problem was to find qualitatively the direction of acceleration of a pendulum bob at various stages of its motion, a problem originally studied by Reif and Allen. Methodology included interviews, introspection, retrospection and self-reported metacognition. Multiple facets of cognition were revealed, with different reasoning strategies used at different stages and for different points on the path. An account is given of the zigzag thinking paths and interplay of reasoning modes and schema elements involved. We interpret the cognitive processes in terms of theoretical concepts that emerged, namely: case-based, principle-based, experiential-intuitive and practical-heuristic reasoning; knowledge elements and schemata; activation; metacognition and epistemic framing. The complexity of cognition revealed in this case study contrasts with the tidy principle-based solutions we present to students. The pervasive role of schemata, case-based reasoning, practical heuristic strategies, and their interplay with physics principles is noteworthy, since these aspects of cognition are generally neither recognized nor taught. The schema/reasoning-mode perspective has direct application in science teaching, learning and problem-solving.

Evaluation of the level of difficulty of patient cases for veterinary problem-solving examination: a preliminary comparison of three taxonomies of learning.

PubMed

Koskinen, Heli

2007-01-01

An important issue that has received insufficient attention in the use of problem-based learning in the medical curriculum is the mode of assessing the level of difficulty of patient cases. In the present study, the level of difficulty of case-based questions in a veterinary degree final examination in reproduction was evaluated. First, cognitive taxonomies were evaluated to clarify whether qualitative methods such as Bloom's taxonomy, the Structure of the Observed Learning Outcome (SOLO) taxonomy, and the Amsterdam Clinical Challenge Scale (ACCS) differed from each other as evaluation tools for problem-based cases. Using these taxonomies, 30 case-based questions from the final examination in reproduction in the Helsinki veterinary program were initially evaluated to determine which one was best suited to the evaluation of the difficulty of cases. In follow-up, the same cases were also evaluated by an experienced veterinary instructor in reproduction, with the aim of gaining insight into using these approaches to evaluating difficulty. It would appear, from this preliminary assessment, that the SOLO taxonomy may be the most suitable for evaluating the difficulty of patient cases, since the instructor's quality rating resembled more closely the SOLO than the Bloom taxonomy or the ACCS. It is to be emphasized that the purpose of this study was to provide a preliminary evaluation of possible approaches that might be used to assess patient-case difficulty. Resolving all issues will require a greater number of evaluations of all components.

Effect of case-based learning on the development of graduate nurses' problem-solving ability.

PubMed

Yoo, Moon-Sook; Park, Jin-Hee

2014-01-01

Case-based learning (CBL) is a teaching strategy which promotes clinical problem-solving ability. This research was performed to investigate the effects of CBL on problem-solving ability of graduate nurses. This research was a quasi-experimental design using pre-test, intervention, and post-test with a non-synchronized, non-equivalent control group. The study population was composed of 190 new graduate nurses from university hospital A in Korea. Results of the research indicate that there was a statistically significant difference in objective problem-solving ability scores of CBL group demonstrating higher scores. Subjective problem-solving ability was also significantly higher in CBL group than in the lecture-based group. These results may suggest that CBL is a beneficial and effective instructional method of training graduate nurses to improve their clinical problem-solving ability. Copyright © 2013 Elsevier Ltd. All rights reserved.

Case study method and problem-based learning: utilizing the pedagogical model of progressive complexity in nursing education.

PubMed

McMahon, Michelle A; Christopher, Kimberly A

2011-08-19

As the complexity of health care delivery continues to increase, educators are challenged to determine educational best practices to prepare BSN students for the ambiguous clinical practice setting. Integrative, active, and student-centered curricular methods are encouraged to foster student ability to use clinical judgment for problem solving and informed clinical decision making. The proposed pedagogical model of progressive complexity in nursing education suggests gradually introducing students to complex and multi-contextual clinical scenarios through the utilization of case studies and problem-based learning activities, with the intention to transition nursing students into autonomous learners and well-prepared practitioners at the culmination of a nursing program. Exemplar curricular activities are suggested to potentiate student development of a transferable problem solving skill set and a flexible knowledge base to better prepare students for practice in future novel clinical experiences, which is a mutual goal for both educators and students.

Project-Based Learning in Electronic Technology: A Case Study

ERIC Educational Resources Information Center

Li, Li

2015-01-01

A case study of project-based learning (PBL) implemented in Tianjin University of Technology and Education is presented. This multidiscipline project is innovated to meet the novel requirements of industry while keeping its traditional effectiveness in driving students to apply knowledge to practice and problem-solving. The implementation of PBL…

Learning outcomes of "The Oncology Patient" study among nursing students: A comparison of teaching strategies.

PubMed

Roca, Judith; Reguant, Mercedes; Canet, Olga

2016-11-01

Teaching strategies are essential in order to facilitate meaningful learning and the development of high-level thinking skills in students. To compare three teaching methodologies (problem-based learning, case-based teaching and traditional methods) in terms of the learning outcomes achieved by nursing students. This quasi-experimental research was carried out in the Nursing Degree programme in a group of 74 students who explored the subject of The Oncology Patient through the aforementioned strategies. A performance test was applied based on Bloom's Revised Taxonomy. A significant correlation was found between the intragroup theoretical and theoretical-practical dimensions. Likewise, intergroup differences were related to each teaching methodology. Hence, significant differences were estimated between the traditional methodology (x-=9.13), case-based teaching (x-=12.96) and problem-based learning (x-=14.84). Problem-based learning was shown to be the most successful learning method, followed by case-based teaching and the traditional methodology. Copyright © 2016 Elsevier Ltd. All rights reserved.

The Effects of Successful versus Failure-Based Cases on Argumentation while Solving Decision-Making Problems

ERIC Educational Resources Information Center

Tawfik, Andrew; Jonassen, David

2013-01-01

Solving complex, ill-structured problems may be effectively supported by case-based reasoning through case libraries that provide just-in-time domain-specific principles in the form of stories. The cases not only articulate previous experiences of practitioners, but also serve as problem-solving narratives from which learners can acquire meaning.…

In Case You Are Interested: Results of a Survey of Case Study Teachers

ERIC Educational Resources Information Center

Herreid, Clyde Freeman; Schiller, Nancy A.; Herreid, Ky F.; Wright, Carolyn

2011-01-01

Case study teaching had a long tradition in law and business before it made the jump to medical school education in the form of Problem-Based Learning (PBL) in the 1970s. Today, both the University of Delaware's Clearinghouse and the University of Buffalo's National Center for Case Study Teaching in Science (NCCSTS) have hundreds of cases and…

Effect of digital problem-based learning cases on student learning outcomes in ophthalmology courses.

PubMed

Kong, Jun; Li, Xiaoyan; Wang, Youdong; Sun, Wei; Zhang, Jinsong

2009-09-01

To assess the impact of digital problem-based learning (PBL) cases on student learning in ophthalmology courses. Ninety students were randomly divided into 3 classes (30 students per class). The first class studied under a didactic model. The other 2 classes were divided into 6 groups (10 students per group) and received PBL teaching; 3 groups studied via cases presented in digital form and the others studied via paper-form cases. The results of theoretical and case analysis examinations were analyzed using the chi(2) test. Student performance on the interval practice was analyzed using the Kruskal-Wallis test. Questionnaires were used to evaluate student and facilitator perceptions. Students in the digital groups exhibited better performance in the practice procedures according to tutorial evaluations compared with the other groups (P < .05). The 2 PBL classes had significantly higher mean results of theoretical and case analysis examinations (P < .001), but there was no significant difference between the 2 PBL classes. Ninety-three percent of students in the digital groups (vs 73% in the paper groups) noted that the cases greatly stimulated their interest. Introducing PBL into ophthalmology could improve educational quality and effectiveness. Digital PBL cases stimulate interest and motivate students to further improve diagnosis and problem-handling skills.

Issues in Implementing a Structured Problem-Based Learning Strategy in a Volcano Unit: A Case Study

ERIC Educational Resources Information Center

Lee, Hyunju; Bae, Sungah

2008-01-01

The purpose of this study was to understand how an 8th grade science class used a structured problem-based learning (PBL) strategy to study volcanoes and to discuss some of the issues that science teachers might encounter when designing and implementing the PBL strategy. This study took place at Collins Middle School, which is located in a…

Innovations in human genetics education. Incorporation of genetics into a problem-based medical school curriculum.

PubMed Central

Swinford, A E; McKeag, D B

1990-01-01

There has been recent interest in the development of problem-based human genetics curricula in U.S. medical schools. The College of Human Medicine at Michigan State University has had a problem-based curriculum since 1974. The vertical integration of genetics within the problem-based curriculum, called "Track II," has recently been revised. On first inspection, the curriculum appeared to lack a significant genetics component; however, on further analysis it was found that many genetics concepts were covered in the biochemistry, microbiology, pathology, and clinical science components. Both basic science concepts and clinical applications of genetics are covered in the curriculum by providing appropriate references for basic concepts and including inherited conditions within the differential diagnosis in the cases studied. Evaluations consist of a multiple-choice content exam and a modified essay exam based on a clinical case, allowing evaluation of both basic concepts and problem-solving ability. This curriculum prepares students to use genetics in a clinical context in their future careers. PMID:2220816

Reality-Based Decision Cases in ESP Teacher Education: Windows on Practice.

ERIC Educational Resources Information Center

Jackson, Jane

1998-01-01

A rationale and framework for the use of case studies in English for Specific Purposes (ESP) teacher education. It explores why and how reality-based cases can revitalize teacher education programs that are specifically designed to prepare teachers for the problems they could encounter as ESP practitioners. (Author/JL)

Problem-Based Learning--Buginese Cultural Knowledge Model--Case Study: Teaching Mathematics at Junior High School

ERIC Educational Resources Information Center

Cheriani, Cheriani; Mahmud, Alimuddin; Tahmir, Suradi; Manda, Darman; Dirawan, Gufran Darma

2015-01-01

This study aims to determine the differences in learning output by using Problem Based Model combines with the "Buginese" Local Cultural Knowledge (PBL-Culture). It is also explores the students activities in learning mathematics subject by using PBL-Culture Models. This research is using Mixed Methods approach that combined quantitative…

Exploring the Use of Three-Dimensional Multi-User Virtual Environments for Online Problem-Based Learning

ERIC Educational Resources Information Center

Omale, Nicholas M.

2010-01-01

This exploratory case study examines how three media attributes in 3-D MUVEs--avatars, 3-D spaces and bubble dialogue boxes--affect interaction in an online problem-based learning (PBL) activity. The study participants were eleven undergraduate students enrolled in a 200-level, three-credit-hour technology integration course at a Midwestern…

A ripple-spreading genetic algorithm for the aircraft sequencing problem.

PubMed

Hu, Xiao-Bing; Di Paolo, Ezequiel A

2011-01-01

When genetic algorithms (GAs) are applied to combinatorial problems, permutation representations are usually adopted. As a result, such GAs are often confronted with feasibility and memory-efficiency problems. With the aircraft sequencing problem (ASP) as a study case, this paper reports on a novel binary-representation-based GA scheme for combinatorial problems. Unlike existing GAs for the ASP, which typically use permutation representations based on aircraft landing order, the new GA introduces a novel ripple-spreading model which transforms the original landing-order-based ASP solutions into value-based ones. In the new scheme, arriving aircraft are projected as points into an artificial space. A deterministic method inspired by the natural phenomenon of ripple-spreading on liquid surfaces is developed, which uses a few parameters as input to connect points on this space to form a landing sequence. A traditional GA, free of feasibility and memory-efficiency problems, can then be used to evolve the ripple-spreading related parameters in order to find an optimal sequence. Since the ripple-spreading model is the centerpiece of the new algorithm, it is called the ripple-spreading GA (RSGA). The advantages of the proposed RSGA are illustrated by extensive comparative studies for the case of the ASP.

Problem-Based Learning in Accounting

ERIC Educational Resources Information Center

Dockter, DuWayne L.

2012-01-01

Seasoned educators use an assortment of student-centered methods and tools to enhance their student's learning environment. In respects to methodologies used in accounting, educators have utilized and created new forms of problem-based learning exercises, including case studies, simulations, and other projects, to help students become more active…

Problems Implementing Problem-Based Learning by a Private Malaysian University

ERIC Educational Resources Information Center

Tik, Chan Chang

2014-01-01

In this case study the focus is on lecturers' readiness in the design of PBL problems and to facilitate students' learning. This paper also looks into students' readiness in terms of acquiring metacognitive skills and collaborating in group to solve PBL problems. Problems encountered by both lecturers and students are discussed in the context of…

The Waterfall Model in Large-Scale Development

NASA Astrophysics Data System (ADS)

Petersen, Kai; Wohlin, Claes; Baca, Dejan

Waterfall development is still a widely used way of working in software development companies. Many problems have been reported related to the model. Commonly accepted problems are for example to cope with change and that defects all too often are detected too late in the software development process. However, many of the problems mentioned in literature are based on beliefs and experiences, and not on empirical evidence. To address this research gap, we compare the problems in literature with the results of a case study at Ericsson AB in Sweden, investigating issues in the waterfall model. The case study aims at validating or contradicting the beliefs of what the problems are in waterfall development through empirical research.

High School Students' Written Argumentation Qualities with Problem-Based Computer-Aided Material (PBCAM) Designed about Human Endocrine System

ERIC Educational Resources Information Center

Vekli, Gülsah Sezen; Çimer, Atilla

2017-01-01

This study investigated development of students' scientific argumentation levels in the applications made with Problem-Based Computer-Aided Material (PBCAM) designed about Human Endocrine System. The case study method was used: The study group was formed of 43 students in the 11th grade of the science high school in Rize. Human Endocrine System…

The Effects of Problem-Based Learning with Flipped Classroom on Elementary Students' Computing Skills: A Case Study of the Production of Ebooks

ERIC Educational Resources Information Center

Tsai, Chia-Wen; Shen, Pei-Di; Lu, Yu-Jui

2015-01-01

This study investigated, via quasi-experiments, the effects of problem-based learning with flipped classroom (FPBL) on the development of students' learning performance. In this study, 144 elementary school students were selected from sixth-grade sections taking a course titled "Production of Ebook," and were assigned into the following…

Professor Eric Can't See: A Project-Based Learning Case for Neurobiology Students.

PubMed

Ogilvie, Judith Mosinger; Ribbens, Eric

2016-01-01

"Professor Eric Can't See" is a semi-biographical case study written for an upper level undergraduate Neurobiology of Disease course. The case is integrated into a unit using a project-based learning approach to investigate the retinal degenerative disorder Retinitis pigmentosa and the visual system. Some case study scenes provide specific questions for student discussion and problem-based learning, while others provide background for student inquiry and related active learning exercises. The case was adapted from "'Chemical Eric' Can't See," and could be adapted for courses in general neuroscience or sensory neuroscience.

The "Reverse Case Study:" Enhancing Creativity in Case-Based Instruction in Leadership Studies

ERIC Educational Resources Information Center

Atkinson, Timothy N.

2014-01-01

In this application brief I share a case study assignment I used in my "Leadership in Complex Organizations" classes to promote creativity in problem solving. I sorted Ph.D. students into two teams and trained them to use creative writing techniques to "encode" theory into their own cases. A sense of competition emerged. Later,…

A prototype case-based reasoning human assistant for space crew assessment and mission management

NASA Technical Reports Server (NTRS)

Owen, Robert B.; Holland, Albert W.; Wood, Joanna

1993-01-01

We present a prototype human assistant system for space crew assessment and mission management. Our system is based on case episodes from American and Russian space missions and analog environments such as polar stations and undersea habitats. The general domain of small groups in isolated and confined environments represents a near ideal application area for case-based reasoning (CBR) - there are few reliable rules to follow, and most domain knowledge is in the form of cases. We define the problem domain and outline a unique knowledge representation system driven by conflict and communication triggers. The prototype system is able to represent, index, and retrieve case studies of human performance. We index by social, behavioral, and environmental factors. We present the problem domain, our current implementation, our research approach for an operational system, and prototype performance and results.

Interactive Land-Use Optimization Using Laguerre Voronoi Diagram with Dynamic Generating Point Allocation

NASA Astrophysics Data System (ADS)

Chaidee, S.; Pakawanwong, P.; Suppakitpaisarn, V.; Teerasawat, P.

2017-09-01

In this work, we devise an efficient method for the land-use optimization problem based on Laguerre Voronoi diagram. Previous Voronoi diagram-based methods are more efficient and more suitable for interactive design than discrete optimization-based method, but, in many cases, their outputs do not satisfy area constraints. To cope with the problem, we propose a force-directed graph drawing algorithm, which automatically allocates generating points of Voronoi diagram to appropriate positions. Then, we construct a Laguerre Voronoi diagram based on these generating points, use linear programs to adjust each cell, and reconstruct the diagram based on the adjustment. We adopt the proposed method to the practical case study of Chiang Mai University's allocated land for a mixed-use complex. For this case study, compared to other Voronoi diagram-based method, we decrease the land allocation error by 62.557 %. Although our computation time is larger than the previous Voronoi-diagram-based method, it is still suitable for interactive design.

Enhancing Large-Group Problem-Based Learning in Veterinary Medical Education.

ERIC Educational Resources Information Center

Pickrell, John A.

This project for large-group, problem-based learning at Kansas State University College of Veterinary Medicine developed 47 case-based videotapes that are used to model clinical conditions and also involved veterinary practitioners to formulate true practice cases into student learning opportunities. Problem-oriented, computer-assisted diagnostic…

Gender Differences in Mathematics Achievement and Retention Scores: A Case of Problem-Based Learning Method

ERIC Educational Resources Information Center

Ajai, John T.; Imoko, Benjamin I.

2015-01-01

This study was undertaken to assess gender differences in mathematics achievement and retention by using Problem-Based Learning (PBL). The design of the study was pre-posttest quasi-experimental. Four hundred and twenty eight senior secondary one (SS I) students using multistage sampling from ten grant-aided and government schools were involved in…

A Silent Revolution: From Sketching to Coding--A Case Study on Code-Based Design Tool Learning

ERIC Educational Resources Information Center

Xu, Song; Fan, Kuo-Kuang

2017-01-01

Along with the information technology rising, Computer Aided Design activities are becoming more modern and more complex. But learning how to operation these new design tools has become the main problem lying in front of each designer. This study was purpose on finding problems encountered during code-based design tools learning period of…

Characterizations of Social-Based and Self-Based Contexts Associated with Students' Awareness, Evaluation, and Regulation of Their Thinking during Small-Group Mathematical Modeling

ERIC Educational Resources Information Center

Magiera, Marta T.; Zawojewski, Judith S.

2011-01-01

This exploratory study focused on characterizing problem-solving situations associated with spontaneous metacognitive activity. The results came from connected case studies of a group of 3 purposefully selected 9th-grade students working collaboratively on a series of 5 modeling problems. Students' descriptions of their own thinking during…

Improving the learning of clinical reasoning through computer-based cognitive representation.

PubMed

Wu, Bian; Wang, Minhong; Johnson, Janice M; Grotzer, Tina A

2014-01-01

Objective Clinical reasoning is usually taught using a problem-solving approach, which is widely adopted in medical education. However, learning through problem solving is difficult as a result of the contextualization and dynamic aspects of actual problems. Moreover, knowledge acquired from problem-solving practice tends to be inert and fragmented. This study proposed a computer-based cognitive representation approach that externalizes and facilitates the complex processes in learning clinical reasoning. The approach is operationalized in a computer-based cognitive representation tool that involves argument mapping to externalize the problem-solving process and concept mapping to reveal the knowledge constructed from the problems. Methods Twenty-nine Year 3 or higher students from a medical school in east China participated in the study. Participants used the proposed approach implemented in an e-learning system to complete four learning cases in 4 weeks on an individual basis. For each case, students interacted with the problem to capture critical data, generate and justify hypotheses, make a diagnosis, recall relevant knowledge, and update their conceptual understanding of the problem domain. Meanwhile, students used the computer-based cognitive representation tool to articulate and represent the key elements and their interactions in the learning process. Results A significant improvement was found in students' learning products from the beginning to the end of the study, consistent with students' report of close-to-moderate progress in developing problem-solving and knowledge-construction abilities. No significant differences were found between the pretest and posttest scores with the 4-week period. The cognitive representation approach was found to provide more formative assessment. Conclusions The computer-based cognitive representation approach improved the learning of clinical reasoning in both problem solving and knowledge construction.

Improving the learning of clinical reasoning through computer-based cognitive representation

PubMed Central

Wu, Bian; Wang, Minhong; Johnson, Janice M.; Grotzer, Tina A.

2014-01-01

Objective Clinical reasoning is usually taught using a problem-solving approach, which is widely adopted in medical education. However, learning through problem solving is difficult as a result of the contextualization and dynamic aspects of actual problems. Moreover, knowledge acquired from problem-solving practice tends to be inert and fragmented. This study proposed a computer-based cognitive representation approach that externalizes and facilitates the complex processes in learning clinical reasoning. The approach is operationalized in a computer-based cognitive representation tool that involves argument mapping to externalize the problem-solving process and concept mapping to reveal the knowledge constructed from the problems. Methods Twenty-nine Year 3 or higher students from a medical school in east China participated in the study. Participants used the proposed approach implemented in an e-learning system to complete four learning cases in 4 weeks on an individual basis. For each case, students interacted with the problem to capture critical data, generate and justify hypotheses, make a diagnosis, recall relevant knowledge, and update their conceptual understanding of the problem domain. Meanwhile, students used the computer-based cognitive representation tool to articulate and represent the key elements and their interactions in the learning process. Results A significant improvement was found in students’ learning products from the beginning to the end of the study, consistent with students’ report of close-to-moderate progress in developing problem-solving and knowledge-construction abilities. No significant differences were found between the pretest and posttest scores with the 4-week period. The cognitive representation approach was found to provide more formative assessment. Conclusions The computer-based cognitive representation approach improved the learning of clinical reasoning in both problem solving and knowledge construction. PMID:25518871

Improving the learning of clinical reasoning through computer-based cognitive representation.

PubMed

Wu, Bian; Wang, Minhong; Johnson, Janice M; Grotzer, Tina A

2014-01-01

Clinical reasoning is usually taught using a problem-solving approach, which is widely adopted in medical education. However, learning through problem solving is difficult as a result of the contextualization and dynamic aspects of actual problems. Moreover, knowledge acquired from problem-solving practice tends to be inert and fragmented. This study proposed a computer-based cognitive representation approach that externalizes and facilitates the complex processes in learning clinical reasoning. The approach is operationalized in a computer-based cognitive representation tool that involves argument mapping to externalize the problem-solving process and concept mapping to reveal the knowledge constructed from the problems. Twenty-nine Year 3 or higher students from a medical school in east China participated in the study. Participants used the proposed approach implemented in an e-learning system to complete four learning cases in 4 weeks on an individual basis. For each case, students interacted with the problem to capture critical data, generate and justify hypotheses, make a diagnosis, recall relevant knowledge, and update their conceptual understanding of the problem domain. Meanwhile, students used the computer-based cognitive representation tool to articulate and represent the key elements and their interactions in the learning process. A significant improvement was found in students' learning products from the beginning to the end of the study, consistent with students' report of close-to-moderate progress in developing problem-solving and knowledge-construction abilities. No significant differences were found between the pretest and posttest scores with the 4-week period. The cognitive representation approach was found to provide more formative assessment. The computer-based cognitive representation approach improved the learning of clinical reasoning in both problem solving and knowledge construction.

Good practices in managing work-related indoor air problems: a psychosocial perspective.

PubMed

Lahtinen, Marjaana; Huuhtanen, Pekka; Vähämäki, Kari; Kähkönen, Erkki; Mussalo-Rauhamaa, Helena; Reijula, Kari

2004-07-01

Indoor air problems at workplaces are often exceedingly complex. Technical questions are interrelated with the dynamics of the work community, and the cooperation and interaction skills of the parties involved in the problem solving process are also put to the test. The objective of our study was to analyze the process of managing and solving indoor air problems from a psychosocial perspective. This collective case study was based on data from questionnaires, interviews and various documentary materials. Technical inspections of the buildings and indoor air measurements were also carried out. The following four factors best differentiated successful cases from impeded cases: extensive multiprofessional collaboration and participative action, systematic action and perseverance, investment in information and communication, and process thinking and learning. The study also proposed a theoretical model for the role of the psychosocial work environment in indoor air problems. The expertise related to social and human aspects of problem solving plays a significant role in solving indoor air problems. Failures to properly handle these aspects may lead to resources being wasted and result in a problematic situation becoming stagnant or worse. Copyright 2004 Wiley-Liss, Inc.

The Effect of Scaffolding Students' Context-Generating Cognitive Activity in Technology-Enhanced Case-Based Learning

ERIC Educational Resources Information Center

Demetriadis, S. N.; Papadopoulos, P. M.; Stamelos, I. G.; Fischer, F.

2008-01-01

This study investigates the hypothesis that students' learning and problem-solving performance in ill-structured domains can be improved, if elaborative question prompts are used to activate students' context-generating cognitive processes, during case study. Two groups of students used a web-based learning environment to criss-cross and study…

Distance Learning Engineering Students Languish under Project-Based Learning, but Thrive in Case Studies and Practical Workshops

ERIC Educational Resources Information Center

Swart, Arthur James

2016-01-01

The International Engineering Alliance lists 12 important graduate attributes that students must demonstrate during their higher educational career. One of these important graduate attributes is the ability to solve problems, which can be demonstrated by the use of project-based learning, case studies, and practical workshops. The purpose of this…

CABINS: Case-based interactive scheduler

NASA Technical Reports Server (NTRS)

Miyashita, Kazuo; Sycara, Katia

1992-01-01

In this paper we discuss the need for interactive factory schedule repair and improvement, and we identify case-based reasoning (CBR) as an appropriate methodology. Case-based reasoning is the problem solving paradigm that relies on a memory for past problem solving experiences (cases) to guide current problem solving. Cases similar to the current case are retrieved from the case memory, and similarities and differences of the current case to past cases are identified. Then a best case is selected, and its repair plan is adapted to fit the current problem description. If a repair solution fails, an explanation for the failure is stored along with the case in memory, so that the user can avoid repeating similar failures in the future. So far we have identified a number of repair strategies and tactics for factory scheduling and have implemented a part of our approach in a prototype system, called CABINS. As a future work, we are going to scale up CABINS to evaluate its usefulness in a real manufacturing environment.

Is the problem list in the eye of the beholder? An exploration of consistency across physicians.

PubMed

Krauss, John C; Boonstra, Philip S; Vantsevich, Anna V; Friedman, Charles P

2016-09-01

Quantify the variability of patients' problem lists - in terms of the number, type, and ordering of problems - across multiple physicians and assess physicians' criteria for organizing and ranking diagnoses. In an experimental setting, 32 primary care physicians generated and ordered problem lists for three identical complex internal medicine cases expressed as detailed 2- to 4-page abstracts and subsequently expressed their criteria for ordering items in the list. We studied variability in problem list length. We modified a previously validated rank-based similarity measure, with range of zero to one, to quantify agreement between pairs of lists and calculate a single consensus problem list that maximizes agreement with each physician. Physicians' reasoning for the ordering of the problem lists was recorded. Subjects' problem lists were highly variable. The median problem list length was 8 (range: 3-14) for Case A, 10 (range: 4-20) for Case B, and 7 (range: 3-13) for Case C. The median indices of agreement - taking into account the length, content, and order of lists - over all possible physician pairings was 0.479, 0.371, 0.509, for Cases A, B, and C, respectively. The median agreements between the physicians' lists and the consensus list for each case were 0.683, 0.581, and 0.697 (for Cases A, B, and C, respectively).Out of a possible 1488 pairings, 2 lists were identical. Physicians most frequently ranked problem list items based on their acuity and immediate threat to health. The problem list is a physician's mental model of a patient's health status. These mental models were found to vary significantly between physicians, raising questions about whether problem lists created by individual physicians can serve their intended purpose to improve care coordination. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Case Study: The Mystery of the Seven Deaths--A Case Study in Cellular Respiration

ERIC Educational Resources Information Center

Gazdik, Michaela

2014-01-01

Cellular respiration, the central component of cellular metabolism, can be a difficult concept for many students to fully understand. In this interrupted, problem-based case study, students explore the purpose of cellular respiration as they play the role of medical examiner, analyzing autopsy evidence to determine the mysterious cause of death…

School Finance Case Study: Dealing with a School District Budget Deficit

ERIC Educational Resources Information Center

Kersten, Thomas

2007-01-01

This case study-based class assignment (see Appendix A) is designed as a culminating course activity through which students demonstrate not only their understanding of school finance basics but also show how to apply their knowledge to solving a problem impacting many public school administrators today. Because the case study is general in design,…

The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support

PubMed Central

Malof, Jordan M.; Mazurowski, Maciej A.; Tourassi, Georgia D.

2013-01-01

Case selection is a useful approach for increasing the efficiency and performance of case-based classifiers. Multiple techniques have been designed to perform case selection. This paper empirically investigates how class imbalance in the available set of training cases can impact the performance of the resulting classifier as well as properties of the selected set. In this study, the experiments are performed using a dataset for the problem of detecting breast masses in screening mammograms. The classification problem was binary and we used a k-nearest neighbor classifier. The classifier’s performance was evaluated using the Receiver Operating Characteristic (ROC) area under the curve (AUC) measure. The experimental results indicate that although class imbalance reduces the performance of the derived classifier and the effectiveness of selection at improving overall classifier performance, case selection can still be beneficial, regardless of the level of class imbalance. PMID:21820273

Error Analysis for Arithmetic Word Problems--A Case Study of Primary Three Students in One Singapore School

ERIC Educational Resources Information Center

Cheng, Lu Pien

2015-01-01

In this study, ways in which 9-year old students from one Singapore school solved 1-step and 2-step word problems based on the three semantic structures were examined. The students' work and diagrams provided insights into the range of errors in word problem solving for 1- step and 2-step word problems. In particular, the errors provided some…

Using Online Digital Tools and Video to Support International Problem-Based Learning

ERIC Educational Resources Information Center

Lajoie, Susanne P.; Hmelo-Silver, Cindy; Wiseman, Jeffrey; Chan, Lap Ki; Lu, Jingyan; Khurana, Chesta; Cruz-Panesso, Ilian; Poitras, Eric; Kazemitabar, Maedeh

2014-01-01

The goal of this study is to examine how to facilitate cross-cultural groups in problem-based learning (PBL) using online digital tools and videos. The PBL consisted of two video-based cases used to trigger student-learning issues about giving bad news to HIV-positive patients. Mixed groups of medical students from Canada and Hong Kong worked with…

Transforming Undergraduate Students into Junior Researchers: Oxidation-Reduction Sequence as a Problem-Based Case Study

ERIC Educational Resources Information Center

Saloranta, Tiina; Lo¨nnqvist, Jan-Erik; Eklund, Patrik C.

2016-01-01

In our upper-level undergraduate laboratory course in organic chemistry we focus on a research-oriented task in a context-based and problem-based learning approach. The course starts with a preliminary training period where the students learn how to safely and independently perform synthesis and purification procedures and to operate the most…

Decision PBL: A 4-year retrospective case study of the use of virtual patients in problem-based learning.

PubMed

Ellaway, Rachel H; Poulton, Terry; Jivram, Trupti

2015-01-01

In 2009, St George's University of London (SGUL) replaced their paper-based problem-based learning (PBL) cases with virtual patients for intermediate-level undergraduate students. This involved the development of Decision-Problem-Based Learning (D-PBL), a variation on progressive-release PBL that uses virtual patients instead of paper cases, and focuses on patient management decisions and their consequences. Using a case study method, this paper describes four years of developing and running D-PBL at SGUL from individual activities up to the ways in which D-PBL functioned as an educational system. A number of broad issues were identified: the importance of debates and decision-making in making D-PBL activities engaging and rewarding; the complexities of managing small group dynamics; the time taken to complete D-PBL activities; the changing role of the facilitator; and the erosion of the D-PBL process over time. A key point in understanding this work is the construction and execution of the D-PBL activity, as much of the value of this approach arises from the actions and interactions of students, their facilitators and the virtual patients rather than from the design of the virtual patients alone. At a systems level D-PBL needs to be periodically refreshed to retain its effectiveness.

Improving Problem-Based Learning in Creative Communities through Effective Group Evaluation

ERIC Educational Resources Information Center

West, Richard E.; Williams, Greg; Williams, David

2013-01-01

In this case study, we researched one cohort from the Center for Animation, a higher education teaching environment that has successfully fostered group creativity and learning outcomes through problem-based learning. Through live and videotaped observations of the interactions of this community over 18 months, in addition to focused interviews…

Zoology Students' Experiences of Collaborative Enquiry in Problem-Based Learning

ERIC Educational Resources Information Center

Harland, Tony

2002-01-01

This paper presents an action-research case study that focuses on experiences of collaboration in a problem-based learning (PBL) course in Zoology. Our PBL model was developed as a research activity in partnership with a commercial organisation. Consequently, learning was grounded in genuine situations of practice in which a high degree of…

Problem-Solving Exercises and Evolution Teaching

ERIC Educational Resources Information Center

Angseesing, J. P. A.

1978-01-01

It is suggested that the work of Kammerer provides suitable material, in the form of case studies on which to base discussions of Lamarckism versus Darwinism. A set of structured problems is described as an example of possible problem-solving exercises, and further experiments to extend Kammerer's work are outlined. (Author/MA)

Application of Case-Task Based Approach in Business English Teaching--A Case Study of the Marketing Course in SEIB of GDUFS

ERIC Educational Resources Information Center

Guiyu, Dai; Yi, Cai

2017-01-01

Business English Teaching aims at cultivating students' ability to analyze and solve problems, improving students' comprehensive language competence and honing their business practical skills. Adhering to the principle of learning by doing and learning by teaching others, Case-Task Based Approach emphasizes students' ability of language use in…

Parent Training on Generalized Use of Behavior Analytic Strategies for Decreasing the Problem Behavior of Children with Autism Spectrum Disorder: A Data-Based Case Study

ERIC Educational Resources Information Center

Crone, Regina M.; Mehta, Smita Shukla

2016-01-01

Setting variables such as location of parent training, programming with common stimuli, generalization of discrete responses to non-trained settings, and subsequent reduction in child problem behavior may influence the effectiveness of interventions. The purpose of this study was to evaluate the effectiveness of home-versus clinic-based training…

Factors Affecting Perceived Learning of Engineering Students in Problem Based Learning Supported by Business Simulation

ERIC Educational Resources Information Center

Chaparro-Pelaez, Julian; Iglesias-Pradas, Santiago; Pascual-Miguel, Felix J.; Hernandez-Garcia, Angel

2013-01-01

Although literature about problem based learning (PBL) is not scarce, there is little research on experiences about learning methodologies that combine PBL and the use of simulation tools. This lack of studies is even more notable in the case of engineering courses. The motivation for this study is to show how such a combination of PBL and…

Assessing Student Workload in Problem Based Learning: Relationships among Teaching Method, Student Workload and Achievement. A Case Study in Natural Sciences

ERIC Educational Resources Information Center

Ruiz-Gallardo, Jose-Reyes; Castano, Santiago; Gomez-Alday, Juan J.; Valdes, Arturo

2011-01-01

This study examines student workload after a change in teaching style from lecture to Problem Based Learning and Cooperative Learning, and its relationship with student outcomes. Results show that the change clearly overloads students if it is not adequately planned and monitored. Marks, drop-outs and attendance were markedly better with the new…

A Case Study Examining How School Leaders Support Schoolwide Implementation of Problem-Based Learning in a Comprehensive Public High School

ERIC Educational Resources Information Center

Callison, Matthew

2017-01-01

A critical step in addressing a call for schools to use curricula such as problem-based learning (PBL) is developing an understanding of how school leaders can support its implementation. The purpose of this study was to examine ways school leaders at a comprehensive, public high school provided supports to teachers as they implemented this…

Mathematical Problem Solving with Technology: The Techno-Mathematical Fluency of a Student-with-GeoGebra

ERIC Educational Resources Information Center

Jacinto, Hélia; Carreira, Susana

2017-01-01

This study offers a view on students' technology-based problem solving activity through the lens of a theoretical model which accounts for the relationship between mathematical and technological knowledge in successful problem solving. This study takes a qualitative approach building on the work of a 13-year-old girl as an exemplary case of the…

A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology

PubMed Central

Henriques, David; González, Patricia; Doallo, Ramón; Saez-Rodriguez, Julio; Banga, Julio R.

2017-01-01

Background We consider a general class of global optimization problems dealing with nonlinear dynamic models. Although this class is relevant to many areas of science and engineering, here we are interested in applying this framework to the reverse engineering problem in computational systems biology, which yields very large mixed-integer dynamic optimization (MIDO) problems. In particular, we consider the framework of logic-based ordinary differential equations (ODEs). Methods We present saCeSS2, a parallel method for the solution of this class of problems. This method is based on an parallel cooperative scatter search metaheuristic, with new mechanisms of self-adaptation and specific extensions to handle large mixed-integer problems. We have paid special attention to the avoidance of convergence stagnation using adaptive cooperation strategies tailored to this class of problems. Results We illustrate its performance with a set of three very challenging case studies from the domain of dynamic modelling of cell signaling. The simpler case study considers a synthetic signaling pathway and has 84 continuous and 34 binary decision variables. A second case study considers the dynamic modeling of signaling in liver cancer using high-throughput data, and has 135 continuous and 109 binaries decision variables. The third case study is an extremely difficult problem related with breast cancer, involving 690 continuous and 138 binary decision variables. We report computational results obtained in different infrastructures, including a local cluster, a large supercomputer and a public cloud platform. Interestingly, the results show how the cooperation of individual parallel searches modifies the systemic properties of the sequential algorithm, achieving superlinear speedups compared to an individual search (e.g. speedups of 15 with 10 cores), and significantly improving (above a 60%) the performance with respect to a non-cooperative parallel scheme. The scalability of the method is also good (tests were performed using up to 300 cores). Conclusions These results demonstrate that saCeSS2 can be used to successfully reverse engineer large dynamic models of complex biological pathways. Further, these results open up new possibilities for other MIDO-based large-scale applications in the life sciences such as metabolic engineering, synthetic biology, drug scheduling. PMID:28813442

A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology.

PubMed

Penas, David R; Henriques, David; González, Patricia; Doallo, Ramón; Saez-Rodriguez, Julio; Banga, Julio R

2017-01-01

We consider a general class of global optimization problems dealing with nonlinear dynamic models. Although this class is relevant to many areas of science and engineering, here we are interested in applying this framework to the reverse engineering problem in computational systems biology, which yields very large mixed-integer dynamic optimization (MIDO) problems. In particular, we consider the framework of logic-based ordinary differential equations (ODEs). We present saCeSS2, a parallel method for the solution of this class of problems. This method is based on an parallel cooperative scatter search metaheuristic, with new mechanisms of self-adaptation and specific extensions to handle large mixed-integer problems. We have paid special attention to the avoidance of convergence stagnation using adaptive cooperation strategies tailored to this class of problems. We illustrate its performance with a set of three very challenging case studies from the domain of dynamic modelling of cell signaling. The simpler case study considers a synthetic signaling pathway and has 84 continuous and 34 binary decision variables. A second case study considers the dynamic modeling of signaling in liver cancer using high-throughput data, and has 135 continuous and 109 binaries decision variables. The third case study is an extremely difficult problem related with breast cancer, involving 690 continuous and 138 binary decision variables. We report computational results obtained in different infrastructures, including a local cluster, a large supercomputer and a public cloud platform. Interestingly, the results show how the cooperation of individual parallel searches modifies the systemic properties of the sequential algorithm, achieving superlinear speedups compared to an individual search (e.g. speedups of 15 with 10 cores), and significantly improving (above a 60%) the performance with respect to a non-cooperative parallel scheme. The scalability of the method is also good (tests were performed using up to 300 cores). These results demonstrate that saCeSS2 can be used to successfully reverse engineer large dynamic models of complex biological pathways. Further, these results open up new possibilities for other MIDO-based large-scale applications in the life sciences such as metabolic engineering, synthetic biology, drug scheduling.

The Use of Video Cases in a Multimedia Learning Environment for Facilitating High School Students' Inquiry into a Problem from Varying Perspectives

NASA Astrophysics Data System (ADS)

Zydney, Janet Mannheimer; Grincewicz, Amy

2011-12-01

This study investigated the connection between the use of video cases within a multimedia learning environment and students' inquiry into a socio-scientific problem. The software program was designed based on principles from the Cognitive Flexibility Theory (CFT) and incorporated video cases of experts with differing perspectives. Seventy-nine 10th-grade students in an urban high school participated in this study. After watching the expert videos, students generated investigative questions and reflected on how their ideas changed over time. This study found a significant correlation between the time students spent watching the expert videos and their ability to consider the problem's perspectives as well as their ability to integrate these perspectives within their questions. Moreover, problem-solving ability and time watching the videos were detected as possible influential predictors of students' consideration of the problem's perspectives within their questions. Although students watched all video cases in equivalent ways, one of the video cases, which incorporated multiple perspectives as opposed to just presenting one perspective, appeared most influential in helping students integrate the various perspectives into their own thinking. A qualitative analysis of students' reflections indicated that many students appreciated the complexity, authenticity, and ethical dimensions of the problem. It also revealed that while the majority of students thought critically about the problem, some students still had naïve or simplistic ways of thinking. This study provided some preliminary evidence that offering students the opportunity to watch videos of different perspectives may influence them to think in alternative ways about a complex problem.

Teaching mathematical word problem solving: the quality of evidence for strategy instruction priming the problem structure.

PubMed

Jitendra, Asha K; Petersen-Brown, Shawna; Lein, Amy E; Zaslofsky, Anne F; Kunkel, Amy K; Jung, Pyung-Gang; Egan, Andrea M

2015-01-01

This study examined the quality of the research base related to strategy instruction priming the underlying mathematical problem structure for students with learning disabilities and those at risk for mathematics difficulties. We evaluated the quality of methodological rigor of 18 group research studies using the criteria proposed by Gersten et al. and 10 single case design (SCD) research studies using criteria suggested by Horner et al. and the What Works Clearinghouse. Results indicated that 14 group design studies met the criteria for high-quality or acceptable research, whereas SCD studies did not meet the standards for an evidence-based practice. Based on these findings, strategy instruction priming the mathematics problem structure is considered an evidence-based practice using only group design methodological criteria. Implications for future research and for practice are discussed. © Hammill Institute on Disabilities 2013.

Development and Evaluation of Computerized Problem-based Learning Cases Emphasizing Basic Sciences Concepts.

ERIC Educational Resources Information Center

Abate, Marie A.; Meyer-Stout, Paula J.; Stamatakis, Mary K.; Gannett, Peter M.; Dunsworth, Teresa S.; Nardi, Anne H.

2000-01-01

Describes development and evaluation of eight computerized problem-based learning (PBL) cases in medicinal chemistry and pharmaceutics concepts. Case versions either incorporated concept maps emphasizing key ideas or did not. Student performance on quizzes did not differ between the different case versions and was similar to that of students who…

Problem Solving Techniques for the Design of Algorithms.

ERIC Educational Resources Information Center

Kant, Elaine; Newell, Allen

1984-01-01

Presents model of algorithm design (activity in software development) based on analysis of protocols of two subjects designing three convex hull algorithms. Automation methods, methods for studying algorithm design, role of discovery in problem solving, and comparison of different designs of case study according to model are highlighted.…

A Comparison of Classroom and Online Asynchronous Problem-Based Learning for Students Undertaking Statistics Training as Part of a Public Health Masters Degree

ERIC Educational Resources Information Center

de Jong, N.; Verstegen, D. M. L.; Tan, F. E. S.; O'Connor, S. J.

2013-01-01

This case-study compared traditional, face-to-face classroom-based teaching with asynchronous online learning and teaching methods in two sets of students undertaking a problem-based learning module in the multilevel and exploratory factor analysis of longitudinal data as part of a Masters degree in Public Health at Maastricht University. Students…

A multidisciplinary allied health faculty team: formation and first year production of problem-based learning in gerontology/geriatrics.

PubMed

Silver, S

1998-01-01

An interdisciplinary team of faculty, administrators and practitioners representing diverse settings for allied health education has formed the Mid-Atlantic Allied Health Geriatric Education Center (MAHGEC) to produce problem-based learning (PBL) cases related to older adults. These cases will enable allied health students and practitioners to work together in interdisciplinary teams and expand allied health education to include health issues related to gerontology/ geriatrics. The health professionals of MAHGEC have brought different perspectives to the project. These include: (1) educational requirements to be gained from their association with MAHGEC, (2) health care disciplines to enhance the PBL cases produced, (3) personal histories related to older adults, and (4) ideas for utilization of problem-based learning in their particular educational and professional settings. The first year of this project has included the execution of a needs assessment for gerontology/geriatric education in allied health programs, the development of the infrastructure of MAHGEC, building the content base of MAHGEC faculty regarding gerontology/geriatrics and problem-based learning, the establishment of priorities in the production of problem-based learning cases for Year 01, and division into production teams for cases.

Problem-based learning in the NICU.

PubMed

Pilcher, Jobeth

2014-01-01

Problem-based learning (PBL) is an educational strategy that provides learners with the opportunity to investigate and solve realistic problem situations. It is also referred to as project-based learning or work-based learning. PBL combines several learning strategies including the use of case studies coupled with collaborative, facilitated, and self-directed learning. Research has demonstrated that use of PBL can result in learners having improved problem-solving skills, increased breadth and analysis of complex data, higher-level thinking skills, and improved collaboration. This article will include background information and a description of PBL, followed by examples of how this strategy can be used for learning in neonatal settings.

A Usability Case Study Using TREC and ZPRISE.

ERIC Educational Resources Information Center

Downey, Laura L.; Tice, Dawn M.

1999-01-01

Examines the challenges involved in conducting an informal usability case study based on the introduction of a new information-retrieval system to experienced users. Identifies problems users were having with TREC (Text Retrieval Conference) and examines the usability of the new ZPRISE interface. (Author/LRW)

An Evaluative Case Study: The Influence of Institutional Policies, Procedures, and Practices on Completion of Nontraditional Transfer Students at a Private, Religious-Based, Doctoral Degree-Granting, Moderate Research University

ERIC Educational Resources Information Center

Pack, Elizabeth Myra

2017-01-01

The purpose of this single, intrinsic, evaluative case study was to examine the problem of nontraditional transfer student completion at a private, religious-based, doctoral degree-granting, moderate research university in North Carolina. The following research questions guided the study: (a) How do institutional policies, procedures, and…

Co-Regulation and Knowledge Construction in an Online Synchronous Problem Based Learning Setting

ERIC Educational Resources Information Center

Lee, Lila; Lajoie, Susanne P.; Poitras, Eric G.; Nkangu, Miriam; Doleck, Tenzin

2017-01-01

Learning to monitor and regulate one's learning in an academic setting is a task that all students must engage in. Learning in "group" situations requires both self- and co-regulation. This research examines a case study of a small group of medical student interactions during an on-line problem based learning activity (PBL) where…

Implementing Problem-Based Learning in a Taiwanese Elementary Classroom: A Case Study of Challenges and Strategies

ERIC Educational Resources Information Center

Li, Hui-Chuan

2012-01-01

This paper outlines some preliminary findings from a one-year problem-based learning (PBL) intervention in a Taiwanese elementary mathematics classroom. PBL stands within the philosophy of social constructivism, which emphasises that learning is a social process, not a product. In general, it involves three main characteristics. The first is that…

Dialog about Psychosocial Issues in Problem-Based Learning Sessions in Medical Education

ERIC Educational Resources Information Center

Adams, Nancy E.

2016-01-01

The purpose of this qualitative case study was two-fold: to investigate the dialog about psychosocial aspects of health care in problem based learning (PBL) groups in a single medical school; and to describe the factors that learners and PBL facilitators identify as influencing dialog about these issues in PBL groups. Medical education is a…

Problem-Based Learning to Foster Deep Learning in Preservice Geography Teacher Education

ERIC Educational Resources Information Center

Golightly, Aubrey; Raath, Schalk

2015-01-01

In South Africa, geography education students' approach to deep learning has received little attention. Therefore the purpose of this one-shot experimental case study was to evaluate the extent to which first-year geography education students used deep or surface learning in an embedded problem-based learning (PBL) format. The researchers measured…

The Pros and Cons of Problem-Based Learning from the Teacher's Standpoint

ERIC Educational Resources Information Center

Ribeiro, Luis Roberto C.

2011-01-01

This article focuses on a teacher's evaluation of an experiment with problem-based learning (PBL) and its effects on his professional development. This case study, of a descriptive-analytical nature, involved the collaboration between the researcher and teacher in the planning, implementation of PBL and, to some extent, analysis of results.…

Optimising Inter-Disciplinary Problem-Based Learning in Postgraduate Environmental and Science Education: Recommendations from a Case Study

ERIC Educational Resources Information Center

Redshaw, Clare H; Frampton, Ian

2014-01-01

As the value of multi-disciplinary working in the business and research worlds is becoming more recognised, the number of inter-disciplinary postgraduate environmental and health sciences courses is also increasing. Equally, the popularity of problem-based learning (PBL) is expected to grow and influence instructional approaches in many…

Integrating Blended and Problem-Based Learning into an Architectural Housing Design Studio: A Case Study

ERIC Educational Resources Information Center

Bregger, Yasemin Alkiser

2017-01-01

This paper presents how a blended learning pedagogic model is integrated into an architectural design studio by adapting the problem-based learning process and housing issues in Istanbul Technical University (ITU), during fall 2015 and spring 2016 semesters for fourth and sixth level students. These studios collaborated with the "Introduction…

Creative Multimodal Learning Environments and Blended Interaction for Problem-Based Activity in HCI Education

ERIC Educational Resources Information Center

Ioannou, Andri; Vasiliou, Christina; Zaphiris, Panayiotis; Arh, Tanja; Klobucar, Tomaž; Pipan, Matija

2015-01-01

This exploratory case study aims to examine how students benefit from a multimodal learning environment while they engage in collaborative problem-based activity in a Human Computer Interaction (HCI) university course. For 12 weeks, 30 students, in groups of 5-7 each, participated in weekly face-to-face meetings and online interactions.…

Advantages of video trigger in problem-based learning.

PubMed

Chan, Lap Ki; Patil, Nivritti G; Chen, Julie Y; Lam, Jamie C M; Lau, Chak S; Ip, Mary S M

2010-01-01

Traditionally, paper cases are used as 'triggers' to stimulate learning in problem-based learning (PBL). However, video may be a better medium because it preserves the original language, encourages the active extraction of information, avoids depersonalization of patients and allows direct observation of clinical consultations. In short, it exposes the students to the complexity of actual clinical problems. The study aims to find out whether students and facilitators who are accustomed to paper cases would prefer video triggers or paper cases and the reasons for their preference. After students and facilitators had completed a video PBL tutorial, their responses were measured by a structured questionnaire using a modified Likert scale. A total of 257 students (92%) and 26 facilitators (100%) responded. The majority of students and facilitators considered that using video triggers could enhance the students' observational powers and clinical reasoning, help them to integrate different information and better understand the cases and motivate them to learn. They found PBL using video triggers more interesting and preferred it to PBL using paper cases. Video triggers are preferred by both students and facilitators over paper cases in PBL.

A simulation-based approach for solving assembly line balancing problem

NASA Astrophysics Data System (ADS)

Wu, Xiaoyu

2017-09-01

Assembly line balancing problem is directly related to the production efficiency, since the last century, the problem of assembly line balancing was discussed and still a lot of people are studying on this topic. In this paper, the problem of assembly line is studied by establishing the mathematical model and simulation. Firstly, the model of determing the smallest production beat under certain work station number is anysized. Based on this model, the exponential smoothing approach is applied to improve the the algorithm efficiency. After the above basic work, the gas stirling engine assembly line balancing problem is discussed as a case study. Both two algorithms are implemented using the Lingo programming environment and the simulation results demonstrate the validity of the new methods.

Requirements Analysis and Modeling with Problem Frames and SysML: A Case Study

NASA Astrophysics Data System (ADS)

Colombo, Pietro; Khendek, Ferhat; Lavazza, Luigi

Requirements analysis based on Problem Frames is getting an increasing attention in the academic community and has the potential to become of relevant interest also for industry. However the approach lacks an adequate notational support and methodological guidelines, and case studies that demonstrate its applicability to problems of realistic complexity are still rare. These weaknesses may hinder its adoption. This paper aims at contributing towards the elimination of these weaknesses. We report on an experience in analyzing and specifying the requirements of a controller for traffic lights of an intersection using Problem Frames in combination with SysML. The analysis was performed by decomposing the problem, addressing the identified sub-problems, and recomposing them while solving the identified interferences. The experience allowed us to identify certain guidelines for decomposition and re-composition patterns.

Integration of problem-based learning and innovative technology into a self-care course.

PubMed

McFalls, Marsha

2013-08-12

To assess the integration of problem-based learning and technology into a self-care course. Problem-based learning (PBL) activities were developed and implemented in place of lectures in a self-care course. Students used technology, such as computer-generated virtual patients and iPads, during the PBL sessions. Students' scores on post-case quizzes were higher than on pre-case quizzes used to assess baseline knowledge. Student satisfaction with problem-based learning and the use of technology in the course remained consistent throughout the semester. Integrating problem-based learning and technology into a self-care course enabled students to become active learners.

Design of Composite Structures Using Knowledge-Based and Case Based Reasoning

NASA Technical Reports Server (NTRS)

Lambright, Jonathan Paul

1996-01-01

A method of using knowledge based and case based reasoning to assist designers during conceptual design tasks of composite structures was proposed. The cooperative use of heuristics, procedural knowledge, and previous similar design cases suggests a potential reduction in design cycle time and ultimately product lead time. The hypothesis of this work is that the design process of composite structures can be improved by using Case-Based Reasoning (CBR) and Knowledge-Based (KB) reasoning in the early design stages. The technique of using knowledge-based and case-based reasoning facilitates the gathering of disparate information into one location that is easily and readily available. The method suggests that the inclusion of downstream life-cycle issues into the conceptual design phase reduces potential of defective, and sub-optimal composite structures. Three industry experts were interviewed extensively. The experts provided design rules, previous design cases, and test problems. A Knowledge Based Reasoning system was developed using the CLIPS (C Language Interpretive Procedural System) environment and a Case Based Reasoning System was developed using the Design Memory Utility For Sharing Experiences (MUSE) xviii environment. A Design Characteristic State (DCS) was used to document the design specifications, constraints, and problem areas using attribute-value pair relationships. The DCS provided consistent design information between the knowledge base and case base. Results indicated that the use of knowledge based and case based reasoning provided a robust design environment for composite structures. The knowledge base provided design guidance from well defined rules and procedural knowledge. The case base provided suggestions on design and manufacturing techniques based on previous similar designs and warnings of potential problems and pitfalls. The case base complemented the knowledge base and extended the problem solving capability beyond the existence of limited well defined rules. The findings indicated that the technique is most effective when used as a design aid and not as a tool to totally automate the composites design process. Other areas of application and implications for future research are discussed.

Performance Contracting: Meeting the Challenge of Deferred Maintenance.

ERIC Educational Resources Information Center

Singer, Terry E.; Johnson, Mary E.

2001-01-01

Discusses the magnitude of the problem of deferred maintenance on today's university campuses and the solving this problem using performance-based energy efficiency retrofit as implemented by energy service companies (ESCO). Several case studies of ESCO designed retrofits are examined. (GR)

Relationships between undergraduates' argumentation skills, conceptual quality of problem solutions, and problem solving strategies in introductory physics

NASA Astrophysics Data System (ADS)

Rebello, Carina M.

This study explored the effects of alternative forms of argumentation on undergraduates' physics solutions in introductory calculus-based physics. A two-phase concurrent mixed methods design was employed to investigate relationships between undergraduates' written argumentation abilities, conceptual quality of problem solutions, as well as approaches and strategies for solving argumentative physics problems across multiple physics topics. Participants were assigned via stratified sampling to one of three conditions (control, guided construct, or guided evaluate) based on gender and pre-test scores on a conceptual instrument. The guided construct and guided evaluate groups received tasks and prompts drawn from literature to facilitate argument construction or evaluation. Using a multiple case study design, with each condition serving as a case, interviews were conducted consisting of a think-aloud problem solving session paired with a semi-structured interview. The analysis of problem solving strategies was guided by the theoretical framework on epistemic games adapted by Tuminaro and Redish (2007). This study provides empirical evidence that integration of written argumentation into physics problems can potentially improve the conceptual quality of solutions, expand their repertoire of problem solving strategies and show promise for addressing the gender gap in physics. The study suggests further avenues for research in this area and implications for designing and implementing argumentation tasks in introductory college physics.

Application of basic science to clinical problems: traditional vs. hybrid problem-based learning.

PubMed

Callis, Amber N; McCann, Ann L; Schneiderman, Emet D; Babler, William J; Lacy, Ernestine S; Hale, David Sidney

2010-10-01

It is widely acknowledged that clinical problem-solving is a key skill for dental practitioners. The aim of this study was to determine if students in a hybrid problem-based learning curriculum (h-PBL) were better at integrating basic science knowledge with clinical cases than students in a traditional, lecture-based curriculum (TC). The performance of TC students (n=40) was compared to that of h-PBL students (n=31). Participants read two clinical scenarios and answered a series of questions regarding each. To control for differences in ability, Dental Admission Test (DAT) Academic Average scores and predental grade point averages (GPAs) were compared, and an ANCOVA was used to adjust for the significant differences in DAT (t-test, p=0.002). Results showed that h-PBL students were better at applying basic science knowledge to a clinical case (ANCOVA, p=0.022) based on overall scores on one case. TC students' overall scores were better than h-PBL students on a separate case; however, it was not statistically significant (p=0.107). The h-PBL students also demonstrated greater skills in the areas of hypothesis generation (Mann-Whitney U, p=0.016) and communication (p=0.006). Basic science comprehension (p=0.01) and neurology (p<0.001) were two areas in which the TC students did score significantly higher than h-PBL students.

Fractions division knowledge of elementary school student: The case of Lala

NASA Astrophysics Data System (ADS)

Purnomo, Yoppy Wahyu; Widowati, Chairunnisa; Aziz, Tian Abdul; Pramudiani, Puri

2017-08-01

Division of fractions is often acknowledged by mysterious rule which is not based on conceptual knowledge. The purpose of the study was to explore elementary school student's knowledge of division fractions. For this purpose, a case study was conducted. The participant of the study was Lala (pseudonym) who enrolled at one elementary school in East Jakarta. The data were collected by administering written test and semi-structured interview respectively. The findings of the study indicated that Lala was able to describe strategy of division fractions as inverse of repeated addition flexibly. She also had basic understanding of fractions division concept as equal sharing, but when she was challenged with advance problems, she performed poorly. Lala also encountered difficulty when dealing with dividing fraction by fraction problem in which she interpreted it as subtraction problem. In this case, her procedural knowledge was likely to be more salient than her conceptual knowledge.

Approach to Mathematical Problem Solving and Students' Belief Systems: Two Case Studies

ERIC Educational Resources Information Center

Callejo, Maria Luz; Vila, Antoni

2009-01-01

The goal of the study reported here is to gain a better understanding of the role of belief systems in the approach phase to mathematical problem solving. Two students of high academic performance were selected based on a previous exploratory study of 61 students 12-13 years old. In this study we identified different types of approaches to…

Meta Cognition as a Means for Dialogue, Self Regulation and Learning--A Case Study from an Implementation of Problem-Based Learning

ERIC Educational Resources Information Center

Venkatachary, Ranga; Kumar, Muthu

2005-01-01

One of the key arguments for problem-based learning as a holistic, learner centred pedagogical method rests on the premise it addresses multiple facets of learner development rather than decontextualised, content related learning outcomes. Fostering meta-cognitive ability in an attempt to develop self regulatory, autonomous learning habits is an…

Developing and Using Interdisciplinary Case Studies in Teaching Geriatrics to Practicing Health Care Professionals.

ERIC Educational Resources Information Center

Owens, Norma J.; Padula, Cynthia A.; Hume, Anne L.

2002-01-01

Interdisciplinary clinical case studies in geriatrics were developed using active and problem-based learning approaches that simulate clinical environments. Feedback from their use in continuing education indicated that facilitators need interdisciplinary group skills, well-written discussion questions enhanced learning, and the presence of all…

Organic Process Technology Valuation: Cyclohexanone Oxime Syntheses

ERIC Educational Resources Information Center

Cannon, Kevin C.; Breen, Maureen P.

2010-01-01

Three contemporary processes for cyclohexanone oxime synthesis are evaluated in a case study. The case study introduces organic chemistry students to basic cost accounting to determine the most economical technology. Technical and financial aspects of these processes are evaluated with problem-based exercises that may be completed by students…

Case Studies in Broadcast Management.

ERIC Educational Resources Information Center

Coleman, Howard W.

This collection of case studies, based on factual situations which have challenged broadcast managers in recent years, is designed to stimulate thinking about and solving of "real world" problems in commercial radio and television operations. Topics of a serious, long-run nature include enlarging the radio audience; station revenue and economy;…

Enhancing Personal and Family Finance Courses Using Case Studies

ERIC Educational Resources Information Center

Gudmunson, Clinton G.; Zuiker, Virginia Solis; Katras, Mary Jo; Sabri, Mohamad Fazli

2015-01-01

Growing financial concerns among college students and on college campuses suggests urgency in teaching personal finance more effectively. Active learning approaches to teaching, including the use of case studies, problem-based learning, group work, in-class writing, demonstrations, and so forth, may be more appropriate and useful when used to…

A fuzzy case based reasoning tool for model based approach to rocket engine health monitoring

NASA Technical Reports Server (NTRS)

Krovvidy, Srinivas; Nolan, Adam; Hu, Yong-Lin; Wee, William G.

1992-01-01

In this system we develop a fuzzy case based reasoner that can build a case representation for several past anomalies detected, and we develop case retrieval methods that can be used to index a relevant case when a new problem (case) is presented using fuzzy sets. The choice of fuzzy sets is justified by the uncertain data. The new problem can be solved using knowledge of the model along with the old cases. This system can then be used to generalize the knowledge from previous cases and use this generalization to refine the existing model definition. This in turn can help to detect failures using the model based algorithms.

Problem Solving in Technology Rich Contexts: Mathematics Sense Making in Out-of-School Environments

ERIC Educational Resources Information Center

Lowrie, Tom

2005-01-01

This investigation describes the way in which a case study participant (aged 7) represented, posed and solved problems in a technology game-based environment. The out-of-school problem-solving context placed numeracy demands on the participant that were more complex and sophisticated than the type of mathematics experiences he encountered in…

The Effects of Schema-Based Instruction on the Mathematical Problem Solving of Students with Emotional and Behavioral Disorders

ERIC Educational Resources Information Center

Peltier, Corey; Vannest, Kimberly J.

2018-01-01

The current study examines the effects of schema instruction on the problem-solving performance of four second-grade students with emotional and behavioral disorders. The existence of a functional relationship between the schema instruction intervention and problem-solving accuracy in mathematics is examined through a single case experiment using…

Video-Based Intervention in Teaching Fraction Problem-Solving to Students with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Yakubova, Gulnoza; Hughes, Elizabeth M.; Hornberger, Erin

2015-01-01

The purpose of this study was to determine the effectiveness of a point-of-view video modeling intervention to teach mathematics problem-solving when working on word problems involving subtracting mixed fractions with uncommon denominators. Using a multiple-probe across students design of single-case methodology, three high school students with…

Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints

PubMed Central

Sun, Yan; Lang, Maoxiang; Wang, Danzhu

2016-01-01

The transportation of hazardous materials is always accompanied by considerable risk that will impact public and environment security. As an efficient and reliable transportation organization, a multimodal service should participate in the transportation of hazardous materials. In this study, we focus on transporting hazardous materials through the multimodal service network and explore the hazardous materials multimodal routing problem from the operational level of network planning. To formulate this problem more practicably, minimizing the total generalized costs of transporting the hazardous materials and the social risk along the planned routes are set as the optimization objectives. Meanwhile, the following formulation characteristics will be comprehensively modelled: (1) specific customer demands; (2) multiple hazardous material flows; (3) capacitated schedule-based rail service and uncapacitated time-flexible road service; and (4) environmental risk constraint. A bi-objective mixed integer nonlinear programming model is first built to formulate the routing problem that combines the formulation characteristics above. Then linear reformations are developed to linearize and improve the initial model so that it can be effectively solved by exact solution algorithms on standard mathematical programming software. By utilizing the normalized weighted sum method, we can generate the Pareto solutions to the bi-objective optimization problem for a specific case. Finally, a large-scale empirical case study from the Beijing–Tianjin–Hebei Region in China is presented to demonstrate the feasibility of the proposed methods in dealing with the practical problem. Various scenarios are also discussed in the case study. PMID:27483294

Integration of Problem-based Learning and Innovative Technology Into a Self-Care Course

PubMed Central

2013-01-01

Objective. To assess the integration of problem-based learning and technology into a self-care course. Design. Problem-based learning (PBL) activities were developed and implemented in place of lectures in a self-care course. Students used technology, such as computer-generated virtual patients and iPads, during the PBL sessions. Assessments. Students’ scores on post-case quizzes were higher than on pre-case quizzes used to assess baseline knowledge. Student satisfaction with problem-based learning and the use of technology in the course remained consistent throughout the semester. Conclusion. Integrating problem-based learning and technology into a self-care course enabled students to become active learners. PMID:23966730

Assessing the Value of Educational Competencies of Healthcare Leaders and Organizational Factors: A Case Study Analysis

ERIC Educational Resources Information Center

Munz, James A.

2017-01-01

This qualitative research study addressed the problem that the healthcare industry has no clear evidence of the academic competencies that influence the attainment of organizational success. The study was based on one case study at a Commission on Accreditation of Healthcare Management Education (CAHME) accredited Masters of Health Administration…

An Integrated Planning Representation Using Macros, Abstractions, and Cases

NASA Technical Reports Server (NTRS)

Baltes, Jacky; MacDonald, Bruce

1992-01-01

Planning will be an essential part of future autonomous robots and integrated intelligent systems. This paper focuses on learning problem solving knowledge in planning systems. The system is based on a common representation for macros, abstractions, and cases. Therefore, it is able to exploit both classical and case based techniques. The general operators in a successful plan derivation would be assessed for their potential usefulness, and some stored. The feasibility of this approach was studied through the implementation of a learning system for abstraction. New macros are motivated by trying to improve the operatorset. One heuristic used to improve the operator set is generating operators with more general preconditions than existing ones. This heuristic leads naturally to abstraction hierarchies. This investigation showed promising results on the towers of Hanoi problem. The paper concludes by describing methods for learning other problem solving knowledge. This knowledge can be represented by allowing operators at different levels of abstraction in a refinement.

Orienting Student Using a Case-Based Instructional Approach: A Case Study

ERIC Educational Resources Information Center

Agbor-Baiyee, W.

2009-01-01

Purpose: Orientation facilitates the transition to a new academic program to meet the need of new students to know programmatic items such as academic expectations, courses, policies and procedures. We used a problem based learning (PBL) approach to introduce our students to the expectations of our intensive 10-week Medical College Admission Test…

Teaching Law and Theory through Context: Contract Clauses in Legal Studies Education

ERIC Educational Resources Information Center

DiMatteo, Larry A.; Anenson, T. Leigh

2007-01-01

Business professors in the twenty-first century have been engaging in another form of problem-based pedagogy to unite business school and business practice. This teaching methodology, called "active learning," has become the new case method in college courses. Like the case-based approach, active learning bridges the gap between theory and…

Project-Based Learning and Student Knowledge Construction during Asynchronous Online Discussion

ERIC Educational Resources Information Center

Koh, Joyce Hwee Ling; Herring, Susan C.; Hew, Khe Foon

2010-01-01

Project-based learning engages students in problem solving through artefact design. However, previous studies of online project-based learning have focused primarily on the dynamics of online collaboration; students' knowledge construction throughout this process has not been examined thoroughly. This case study analyzed the relationship between…

Video-Based Intervention in Teaching Fraction Problem-Solving to Students with Autism Spectrum Disorder.

PubMed

Yakubova, Gulnoza; Hughes, Elizabeth M; Hornberger, Erin

2015-09-01

The purpose of this study was to determine the effectiveness of a point-of-view video modeling intervention to teach mathematics problem-solving when working on word problems involving subtracting mixed fractions with uncommon denominators. Using a multiple-probe across students design of single-case methodology, three high school students with ASD completed the study. All three students demonstrated greater accuracy in solving fraction word problems and maintained accuracy levels at a 1-week follow-up.

Using a Recommendation System to Support Problem Solving and Case-Based Reasoning Retrieval

ERIC Educational Resources Information Center

Tawfik, Andrew A.; Alhoori, Hamed; Keene, Charles Wayne; Bailey, Christian; Hogan, Maureen

2018-01-01

In case library learning environments, learners are presented with an array of narratives that can be used to guide their problem solving. However, according to theorists, learners struggle to identify and retrieve the optimal case to solve a new problem. Given the challenges novice face during case retrieval, recommender systems can be embedded…

MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH.

PubMed

Kreuzthaler, Markus; Miñarro-Giménez, Jose Antonio; Schulz, Stefan

2016-01-01

Big data resources are difficult to process without a scaled hardware environment that is specifically adapted to the problem. The emergence of flexible cloud-based virtualization techniques promises solutions to this problem. This paper demonstrates how a billion of lines can be processed in a reasonable amount of time in a cloud-based environment. Our use case addresses the accumulation of concept co-occurrence data in MEDLINE annotation as a series of MapReduce jobs, which can be scaled and executed in the cloud. Besides showing an efficient way solving this problem, we generated an additional resource for the scientific community to be used for advanced text mining approaches.

Ethical Implications of Case-Based Payment in China: A Systematic Analysis.

PubMed

Jin, Pingyue; Biller-Andorno, Nikola; Wild, Verina

2015-12-01

How health care providers are paid affects how medicine is practiced. It is thus important to assess provider payment models not only from the economic perspective but also from the ethical perspective. China recently started to reform the provider payment model in the health care system from fee-for-service to case-based payment. This paper aims to examine this transition from an ethical perspective. We collected empirical studies on the impact of case-based payment in the Chinese health care system and applied a systematic ethical matrix that integrates clinical ethics and public health ethics to analyze the empirical findings. We identified eleven prominent ethical issues related to case-based payment. Some ethical problems of case-based payment in China are comparable to ethical problems of managed care and diagnosis related groups in high-income countries. However, in this paper we discuss in greater detail four specific ethical issues in the Chinese context: professionalism, the patient-physician relationship, access to care and patient autonomy. Based on the analysis, we cautiously infer that case-based payment is currently more ethically acceptable than fee-for-service in the context of China, mainly because it seems to lower financial barriers to access care. Nonetheless, it will be difficult to justify the implementation of case-based payment if no additional measures are taken to monitor and minimize its existing negative ethical implications. © 2014 John Wiley & Sons Ltd.

Personnel and Welfare: The Case of the Problem Drinker at Work.

ERIC Educational Resources Information Center

Hyman, J.; Beaumont, P. B.

1985-01-01

Presents evidence of welfare activity in a number of work organizations based in Scotland that have introduced recovery programs for employees with alcohol-related problems. The study points to extensive involvement by personnel specialists in the operation of these policies. (CT)

The system evaluation for report writing skills of summary by HGA-SVM with Ontology: Medical case study in problem based learning

NASA Astrophysics Data System (ADS)

Yenaeng, Sasikanchana; Saelee, Somkid; Samai, Wirachai

2018-01-01

The system evaluation for report writing skills of summary by Hybrid Genetic Algorithm-Support Vector Machines (HGA-SVM) with Ontology of Medical Case Study in Problem Based Learning (PBL) is a system was developed as a guideline of scoring for the facilitators or medical teacher. The essay answers come from medical student of medical education courses in the nervous system motion and Behavior I and II subject, a third year medical student 20 groups of 9-10 people, the Faculty of Medicine in Prince of Songkla University (PSU). The audit committee have the opinion that the ratings of individual facilitators are inadequate, this system to solve such problems. In this paper proposes a development of the system evaluation for report writing skills of summary by HGA-SVM with Ontology of medical case study in PBL which the mean scores of machine learning score and humans (facilitators) score were not different at the significantly level .05 all 3 essay parts contain problem essay part, hypothesis essay part and learning objective essay part. The result show that, the average score all 3 essay parts that were not significantly different from the rate at the level of significance .05.

Comparison of 2 resident learning tools-interactive screen-based simulated case scenarios versus problem-based learning discussions: a prospective quasi-crossover cohort study.

PubMed

Rajan, Shobana; Khanna, Ashish; Argalious, Maged; Kimatian, Stephen J; Mascha, Edward J; Makarova, Natalya; Nada, Eman M; Elsharkawy, Hesham; Firoozbakhsh, Farhad; Avitsian, Rafi

2016-02-01

Simulation-based learning is emerging as an alternative educational tool in this era of a relative shortfall of teaching anesthesiologists. The objective of the study is to assess whether screen-based (interactive computer simulated) case scenarios are more effective than problem-based learning discussions (PBLDs) in improving test scores 4 and 8 weeks after these interventions in anesthesia residents during their first neuroanesthesia rotation. Prospective, nonblinded quasi-crossover study. Cleveland Clinic. Anesthesiology residents. Two case scenarios were delivered from the Anesoft software as screen-based sessions, and parallel scripts were developed for 2 PBLDs. Each resident underwent both types of training sessions, starting with the PBLD session, and the 2 cases were alternated each month (ie, in 1 month, the screen-based intervention used case 1 and the PBLD used case 2, and vice versa for the next month). Test scores before the rotation (baseline), immediately after the rotation (4 weeks after the start of the rotation), and 8 weeks after the start of rotation were collected on each topic from each resident. The effect of training method on improvement in test scores was assessed using a linear mixed-effects model. Compared to the departmental standard of PBLD, the simulation method did not improve either the 4- or 8-week mean test scores (P = .41 and P = .40 for training method effect on 4- and 8-week scores, respectively). Resident satisfaction with the simulation module on a 5-point Likert scale showed subjective evidence of a positive impact on resident education. Screen-based simulators were not more effective than PBLD for education during the neuroanesthesia rotation in anesthesia residency. Copyright © 2016 Elsevier Inc. All rights reserved.

Does the Curriculum Matter in Peer Mentoring? From Mentee to Mentor in Problem-Based Learning: A Unique Case Study

ERIC Educational Resources Information Center

McLean, Michelle

2004-01-01

Peer mentoring has been used for many years by the Nelson R. Mandela School of Medicine to integrate new students into the academic and social culture of the institution. In 2001, an unusual situation arose. A problem-based learning (PBL) curriculum was introduced and the first cohort in this programme was mentored by senior traditional curriculum…

Using National Health Care Databases and Problem-Based Practice Analysis to Inform Integrated Curriculum Development.

PubMed

Baker, Amy J; Raymond, Mark R; Haist, Steven A; Boulet, John R

2017-04-01

One challenge when implementing case-based learning, and other approaches to contextualized learning, is determining which clinical problems to include. This article illustrates how health care utilization data, readily available from the National Center for Health Statistics (NCHS), can be incorporated into an educational needs assessment to identify medical problems physicians are likely to encounter in clinical practice. The NCHS survey data summarize patient demographics, diagnoses, and interventions for tens of thousands of patients seen in various settings, including emergency departments (EDs), clinics, and hospitals.Selected data from the National Hospital Ambulatory Medical Care Survey: Emergency Department illustrate how instructional materials can be derived from the results of such public-use health care data. Using fever as the reason for visit to the ED, the patient management path is depicted in the form of a case drill-down by exploring the most common diagnoses, blood tests, diagnostic studies, procedures, and medications associated with fever.Although these types of data are quite useful, they should not serve as the sole basis for determining which instructional cases to include. Additional sources of information should be considered to ensure the inclusion of cases that represent infrequent but high-impact problems and those that illustrate fundamental principles that generalize to other cases.

Massively parallel support for a case-based planning system

NASA Technical Reports Server (NTRS)

Kettler, Brian P.; Hendler, James A.; Anderson, William A.

1993-01-01

Case-based planning (CBP), a kind of case-based reasoning, is a technique in which previously generated plans (cases) are stored in memory and can be reused to solve similar planning problems in the future. CBP can save considerable time over generative planning, in which a new plan is produced from scratch. CBP thus offers a potential (heuristic) mechanism for handling intractable problems. One drawback of CBP systems has been the need for a highly structured memory to reduce retrieval times. This approach requires significant domain engineering and complex memory indexing schemes to make these planners efficient. In contrast, our CBP system, CaPER, uses a massively parallel frame-based AI language (PARKA) and can do extremely fast retrieval of complex cases from a large, unindexed memory. The ability to do fast, frequent retrievals has many advantages: indexing is unnecessary; very large case bases can be used; memory can be probed in numerous alternate ways; and queries can be made at several levels, allowing more specific retrieval of stored plans that better fit the target problem with less adaptation. In this paper we describe CaPER's case retrieval techniques and some experimental results showing its good performance, even on large case bases.

Effect of Case-Based Video Support on Cyberbullying Awareness

ERIC Educational Resources Information Center

Akbulut, Yavuz

2014-01-01

When it comes to safe and ethical information technology use, cyberbullying stands out. Indeed, it is seen to be a prevalent and complex problem. Prevention suggestions tend to rely on implications of descriptive and correlational studies rather than true experimental works. In this regard, the current study investigated the effect of case-based…

Examining the Role of Web 2.0 Tools in Supporting Problem Solving during Case-Based Instruction

ERIC Educational Resources Information Center

Koehler, Adrie A.; Newby, Timothy J.; Ertmer, Peggy A.

2017-01-01

As learners solve complex problems, such as the ones present in case narratives, they need instructional support. Potentially, Web 2.0 applications can be useful to learners during case-based instruction (CBI), as their affordances offer creative and collaborative opportunities. However, there is limited research available on how the affordances…

Cognitive problem solving patterns of medical students correlate with success in diagnostic case solutions.

PubMed

Kiesewetter, Jan; Ebersbach, René; Görlitz, Anja; Holzer, Matthias; Fischer, Martin R; Schmidmaier, Ralf

2013-01-01

Problem-solving in terms of clinical reasoning is regarded as a key competence of medical doctors. Little is known about the general cognitive actions underlying the strategies of problem-solving among medical students. In this study, a theory-based model was used and adapted in order to investigate the cognitive actions in which medical students are engaged when dealing with a case and how patterns of these actions are related to the correct solution. Twenty-three medical students worked on three cases on clinical nephrology using the think-aloud method. The transcribed recordings were coded using a theory-based model consisting of eight different cognitive actions. The coded data was analysed using time sequences in a graphical representation software. Furthermore the relationship between the coded data and accuracy of diagnosis was investigated with inferential statistical methods. The observation of all main actions in a case elaboration, including evaluation, representation and integration, was considered a complete model and was found in the majority of cases (56%). This pattern significantly related to the accuracy of the case solution (φ = 0.55; p<.001). Extent of prior knowledge was neither related to the complete model nor to the correct solution. The proposed model is suitable to empirically verify the cognitive actions of problem-solving of medical students. The cognitive actions evaluation, representation and integration are crucial for the complete model and therefore for the accuracy of the solution. The educational implication which may be drawn from this study is to foster students reasoning by focusing on higher level reasoning.

Case Study in Evidence-Based Practice in Clinical Child and Adolescent Psychology: The Use of the Coping Power Program to Treat a 10-Year-Old Girl with Disruptive Behaviors

ERIC Educational Resources Information Center

Lochman, John E.; Boxmeyer, Caroline; Powell, Nicole; Wojnaroski, Mary; Yaros, Anna

2007-01-01

This article describes the successful application of the Coping Power program by school-based clinicians to address a 10-year-old girl's disruptive behavior symptoms. Coping Power is an empirically supported cognitive-behavioral program for children at risk for serious conduct problems and their parents. The following case study illustrates the…

Absenteeism due to mental health problems and systems for return to work: an internet-based unmatched case-control study.

PubMed

Doki, Shotaro; Sasahara, Shinichiro; Hirai, Yasuhito; Oi, Yuichi; Matsuzaki, Ichiyo

2016-11-01

The aim of this study was to investigate the risk factors for absenteeism due to mental health problems with regard to company characteristics and systems for return to work in Japan. This was an Internet-based unmatched case-control study. Two hundred and fifty-eight workers who experienced over 28 days of sick leave due to mental health problems (cases) and 258 workers who have not taken sick leave (controls) were recruited. Company characteristics and the awareness and presence of systems for return to work were analysed as indicators of absenteeism. A total of 501 workers were included in the analysis. Females were less likely to experience absenteeism when adjustments were made for both the awareness and presence of systems [odds ratio (OR) = 0.51 and 0.41, respectively]. Large companies showed an increased risk of having absentee workers than small companies. The awareness of a gradual resumption system and the presence of a sick pay system were related to absenteeism (OR = 2.75 and 2.40, respectively). The awareness and presence of systems for return to work are related to the long-term absenteeism. The predictors of sex and company size are also related to the experience of the long-term absenteeism. To understand the effect of systems for return to work on absenteeism due to mental problems, further studies are needed.

Impact of Active Teaching Methods Implemented on Therapeutic Chemistry Module: Performance and Impressions of First-Year Pharmacy Students

ERIC Educational Resources Information Center

Derfoufi, Sanae; Benmoussa, Adnane; El Harti, Jaouad; Ramli, Youssef; Taoufik, Jamal; Chaouir, Souad

2015-01-01

This study investigates the positive impact of the Case Method implemented during a 4- hours tutorial in "therapeutic chemistry module." We view the Case Method as one particular approach within the broader spectrum of problem based or inquiry based learning approaches. Sixty students were included in data analysis. A pre-test and…

Size and consistency of problem-solving consultation outcomes: an empirical analysis.

PubMed

Hurwitz, Jason T; Kratochwill, Thomas R; Serlin, Ronald C

2015-04-01

In this study, we analyzed extant data to evaluate the variability and magnitude of students' behavior change outcomes (academic, social, and behavioral) produced by consultants through problem-solving consultation with teachers. Research questions were twofold: (a) Do consultants produce consistent and sizeable positive student outcomes across their cases as measured through direct and frequent assessment? and (b) What proportion of variability in student outcomes is attributable to consultants? Analyses of extant data collected from problem-solving consultation outcome studies that used single-case, time-series AB designs with multiple participants were analyzed. Four such studies ultimately met the inclusion criteria for the extant data, comprising 124 consultants who worked with 302 school teachers regarding 453 individual students. Consultants constituted the independent variable, while the primary dependent variable was a descriptive effect size based on student behavior change as measured by (a) curriculum-based measures, (b) permanent products, or (c) direct observations. Primary analyses involved visual and statistical evaluation of effect size magnitude and variability observed within and between consultants and studies. Given the nested nature of the data, multilevel analyses were used to assess consultant effects on student outcomes. Results suggest that consultants consistently produced positive effect sizes on average across their cases, but outcomes varied between consultants. Findings also indicated that consultants, teachers, and the corresponding studies accounted for a significant proportion of variability in student outcomes. This investigation advances the use of multilevel and integrative data analyses to evaluate consultation outcomes and extends research on problem-solving consultation, consultant effects, and meta-analysis of case study AB designs. Practical implications for evaluating consultation service delivery in school settings are also discussed. Copyright © 2015 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Case-study experiments in the introductory physics curriculum

NASA Astrophysics Data System (ADS)

Arion, D. N.; Crosby, K. M.; Murphy, E. A.

2000-09-01

Carthage College added inquiry-based case study activities to the traditional introductory physics laboratory. Student teams designed, constructed, and executed their own experiments to study real-world phenomena, through which they gained understanding both of physic principles and methods of physics research. Assessment results and student feedback through teacher evaluations indicate that these activities improved student attitudes about physics as well as their ability to solve physics problems relative to previous course offerings that did not include case study.

Conducting a surveillance problem analysis on poor feedback from Reference Laboratory, Liberia, February 2016.

PubMed

Frimpong, Joseph Asamoah; Amo-Addae, Maame Pokuah; Adewuyi, Peter Adebayo; Hall, Casey Daniel; Park, Meeyoung Mattie; Nagbe, Thomas Knue

2017-01-01

The laboratory plays a major role in surveillance, including confirming the start and end of an outbreak. Knowing the causative agent for an outbreak informs the development of response strategies and management plans for a public health event. However, issues and challenges may arise that limit the effectiveness or efficiency of laboratories in surveillance. This case study applies a systematic approach to analyse gaps in laboratory surveillance, thereby improving the ability to mitigate these gaps. Although this case study concentrates on factors resulting in poor feedback from the laboratory, practise of this general approach to problem analysis will confer skills required in analysing most public health issues. This case study was developed based on a report submitted by the district surveillance officer in Grand Bassa County, Liberia, as a resident of the Liberian Frontline Field Epidemiology Training Program in 2016. This case study will serve as a training tool to reinforce lectures on surveillance problem analysis using the fishbone approach. It is designed for public health training in a classroom setting and can be completed within 2 hours 30 minutes.

The Research of Improving the Particleboard Glue Dosing Process Based on TRIZ Analysis

NASA Astrophysics Data System (ADS)

Yu, Huiling; Fan, Delin; Zhang, Yizhuo

This research creates a design methodology by synthesizing the Theory of Inventive Problem Solving (TRIZ) and cascade control based on Smith predictor. The particleboard glue supplying and dosing system case study defines the problem and the solution using the methodology proposed in the paper. Status difference existing in the gluing dosing process of particleboard production usually causes gluing volume inaccurately. In order to solve the problem above, we applied the TRIZ technical contradiction and inventive principle to improve the key process of particleboard production. The improving method mapped inaccurate problem to TRIZ technical contradiction, the prior action proposed Smith predictor as the control algorithm in the glue dosing system. This research examines the usefulness of a TRIZ based problem-solving process designed to improve the problem-solving ability of users in addressing difficult or reoccurring problems and also testify TRIZ is practicality and validity. Several suggestions are presented on how to approach this problem.

Facilitating Case Reuse during Problem Solving in Algebra-Based Physics

ERIC Educational Resources Information Center

Mateycik, Frances Ann

2010-01-01

This research project investigates students' development of problem solving schemata while using strategies that facilitate the process of using solved examples to assist with a new problem (case reuse). Focus group learning interviews were used to explore students' perceptions and understanding of several problem solving strategies. Individual…

Identification of related gene/protein names based on an HMM of name variations.

PubMed

Yeganova, L; Smith, L; Wilbur, W J

2004-04-01

Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important problems in natural language processing. First, can one locate the names of genes or proteins in free text, and second, can one determine when two names denote the same gene or protein? The first of these problems is a special case of the problem of named entity recognition, while the second is a special case of the problem of automatic term recognition (ATR). We study the second problem, that of gene or protein name variation. Here we describe a system which, given a query gene or protein name, identifies related gene or protein names in a large list. The system is based on a dynamic programming algorithm for sequence alignment in which the mutation matrix is allowed to vary under the control of a fully trainable hidden Markov model.

Teaching community diagnosis to medical students: evaluation of a case study approach.

PubMed

Bair, C W

1980-01-01

A unique case study approach to training medical students in community diagnosis techniques was initiated at the Medical College of Ohio at Toledo. This paper describes the five elements of this teaching method: preliminary specification of target community and data base; group problem-solving requirement; specification of desired output; defined performance objectives; and regularly scheduled time for analysis. Experience with the case study method over two years was evaluated to identify specific strengths and weaknesses. The identified strengths include use of limited educational time to introduce community health problems, development of experience in a collegial team work setting, and specific awareness of the types of data useful to the analysis of community health service problems. Negative evaluations suggested that the method was not conducive to the development of skills in three areas: ability to establish the relative importance of health problems in communities; ability to identify an appropriate health system response to a community health problem from feasible alternatives; and ability to anticipate the community impact of health program modifications or improvements. Potential explanations for these deficiencies include: need for increased didactic support in the classroom for particular skill areas; need to establish a direct field experience in community diagnosis; inappropriateness of the data base used for evaluation of particular skills; and the probability that quantitative analysis, as used in this evaluation, may not be sufficient in and of itself to measure the outcome of a community diagnosis experience.

Integration of advanced technologies to enhance problem-based learning over distance: Project TOUCH.

PubMed

Jacobs, Joshua; Caudell, Thomas; Wilks, David; Keep, Marcus F; Mitchell, Steven; Buchanan, Holly; Saland, Linda; Rosenheimer, Julie; Lozanoff, Beth K; Lozanoff, Scott; Saiki, Stanley; Alverson, Dale

2003-01-01

Distance education delivery has increased dramatically in recent years as a result of the rapid advancement of communication technology. The National Computational Science Alliance's Access Grid represents a significant advancement in communication technology with potential for distance medical education. The purpose of this study is to provide an overview of the TOUCH project (Telehealth Outreach for Unified Community Health; http://hsc.unm.edu/touch) with special emphasis on the process of problem-based learning case development for distribution over the Access Grid. The objective of the TOUCH project is to use emerging Internet-based technology to overcome geographic barriers for delivery of tutorial sessions to medical students pursuing rotations at remote sites. The TOUCH project also is aimed at developing a patient simulation engine and an immersive virtual reality environment to achieve a realistic health care scenario enhancing the learning experience. A traumatic head injury case is developed and distributed over the Access Grid as a demonstration of the TOUCH system. Project TOUCH serves as an example of a computer-based learning system for developing and implementing problem-based learning cases within the medical curriculum, but this system should be easily applied to other educational environments and disciplines involving functional and clinical anatomy. Future phases will explore PC versions of the TOUCH cases for increased distribution. Copyright 2003 Wiley-Liss, Inc.

Defective Infant Formulas and Expressive Language Problems: A Case Study.

ERIC Educational Resources Information Center

Wing, Clara S.

1990-01-01

Children who used chloride-deficient soy-based infant formulas (Neo-Mull-Soy and Cho-Free) have been found to exhibit expressive language disorders. Medical studies of such children are reviewed, and a case study compares the language development deficits of an eight-year-old boy who used the formula with that of his fraternal twin who did not.…

Applying the Kanban Method in Problem-Based Project Work: A Case Study in A Manufacturing Engineering Bachelor's Programme at Aalborg University Copenhagen

ERIC Educational Resources Information Center

Balve, Patrick; Krüger, Volker; Tolstrup Sørensen, Lene

2017-01-01

Problem-based learning (PBL) has proven to be highly effective for educating students in an active and self-motivated manner in various disciplines. Student projects carried out following PBL principles are very dynamic and carry a high level of uncertainty, both conditions under which agile project management approaches are assumed to be highly…

Optimized model tuning in medical systems.

PubMed

Kléma, Jirí; Kubalík, Jirí; Lhotská, Lenka

2005-12-01

In medical systems it is often advantageous to utilize specific problem situations (cases) in addition to or instead of a general model. Decisions are then based on relevant past cases retrieved from a case memory. The reliability of such decisions depends directly on the ability to identify cases of practical relevance to the current situation. This paper discusses issues of automated tuning in order to obtain a proper definition of mutual case similarity in a specific medical domain. The main focus is on a reasonably time-consuming optimization of the parameters that determine case retrieval and further utilization in decision making/ prediction. The two case studies - mortality prediction after cardiological intervention, and resource allocation at a spa - document that the optimization process is influenced by various characteristics of the problem domain.

Kathy: A Case of Innovative Mathematics Teaching in a Multicultural Classroom. Teaching Cases in Cross-Cultural Education Series, No. 9.

ERIC Educational Resources Information Center

McDiarmid, G. Williamson; Kleinfeld, Judith, Ed.

Teaching cases have been utilized in professional training and can offer dramatic accounts of problems teachers may confront in the classroom. This case study examines a fact-based story of a third-grade teacher's confrontation with the mother of an African-American child who disagrees with the innovative approach utilized in her child's…

Evaluating the automated blood glucose pattern detection and case-retrieval modules of the 4 Diabetes Support System.

PubMed

Schwartz, Frank L; Vernier, Stanley J; Shubrook, Jay H; Marling, Cynthia R

2010-11-01

We have developed a prototypical case-based reasoning system to enhance management of patients with type 1 diabetes mellitus (T1DM). The system is capable of automatically analyzing large volumes of life events, self-monitoring of blood glucose readings, continuous glucose monitoring system results, and insulin pump data to detect clinical problems. In a preliminary study, manual entry of large volumes of life-event and other data was too burdensome for patients. In this study, life-event and pump data collection were automated, and then the system was reevaluated. Twenty-three adult T1DM patients on insulin pumps completed the five-week study. A usual daily schedule was entered into the database, and patients were only required to upload their insulin pump data to Medtronic's CareLink® Web site weekly. Situation assessment routines were run weekly for each participant to detect possible problems, and once the trial was completed, the case-retrieval module was tested. Using the situation assessment routines previously developed, the system found 295 possible problems. The enhanced system detected only 2.6 problems per patient per week compared to 4.9 problems per patient per week in the preliminary study (p=.017). Problems detected by the system were correctly identified in 97.9% of the cases, and 96.1% of these were clinically useful. With less life-event data, the system is unable to detect certain clinical problems and detects fewer problems overall. Additional work is needed to provide device/software interfaces that allow patients to provide this data quickly and conveniently. © 2010 Diabetes Technology Society.

Use abstracted patient-specific features to assist an information-theoretic measurement to assess similarity between medical cases

PubMed Central

Cao, Hui; Melton, Genevieve B.; Markatou, Marianthi; Hripcsak, George

2008-01-01

Inter-case similarity metrics can potentially help find similar cases from a case base for evidence-based practice. While several methods to measure similarity between cases have been proposed, developing an effective means for measuring patient case similarity remains a challenging problem. We were interested in examining how abstracting could potentially assist computing case similarity. In this study, abstracted patient-specific features from medical records were used to improve an existing information-theoretic measurement. The developed metric, using a combination of abstracted disease, finding, procedure and medication features, achieved a correlation between 0.6012 and 0.6940 to experts. PMID:18487093

Remote sensing for site characterization

USGS Publications Warehouse

Kuehn, Friedrich; King, Trude V.; Hoerig, Bernhard; Peters, Douglas C.; Kuehn, Friedrich; King, Trude V.; Hoerig, Bernhard; Peters, Douglas C.

2000-01-01

This volume, Remote Sensing for Site Characterization, describes the feasibility of aircraft- and satellite-based methods of revealing environmental-geological problems. A balanced ratio between explanations of the methodological/technical side and presentations of case studies is maintained. The comparison of case studies from North America and Germany show how the respective territorial conditions lead to distinct methodological approaches.

Students' Research Experiences during Consulting Projects: Three Themes Emerging from Case Studies

ERIC Educational Resources Information Center

Phillips, Carissa M. Holler

2010-01-01

Student consulting projects, an advanced form of problem-based learning, allow students to apply the skills developed in their classes on behalf of client organizations. A review of selected case studies in business education and other management education literature shows that research is an integral part of this consulting process. More than…

Designing for Problem-Based Learning in a Collaborative STEM Lab: A Case Study

ERIC Educational Resources Information Center

Estes, Michele D.; Liu, Juhong; Zha, Shenghua; Reedy, Kim

2014-01-01

Higher education institutions are using virtual telepresence systems to engage in collaborative course redesign and research projects. These systems hold promise and challenge for inter-institutional work in STEM areas. This paper describes a case study involving two universities in the 4-VA consortium, and the redesign of a shared STEM lab. The…

Improving nurses' perceptions of competency in diabetes self-management education through the use of simulation and problem-based learning.

PubMed

Tschannen, Dana; Aebersold, Michelle; Sauter, Cecilia; Funnell, Martha M

2013-06-01

Nurses who provide case management can improve care practice and outcomes among patients who have type 2 diabetes through appropriate training and systems of care. This study was conducted to improve ambulatory care nurses' perceptions of competency in empowerment-based skills required for diabetes self-management education after participation in a multifaceted educational session that included problem-based learning and simulation. After participation in the multifaceted educational session, nurses (n = 21) perceived that the education provided an excellent opportunity for knowledge uptake and applicability to their respective work settings. The learning strategies provided opportunities for engagement in a safe and relaxed atmosphere. The simulation experience allowed participants to deliberately practice the competencies. These nurses considered this a very effective learning activity. Through the use of problem-based learning and simulation, nurses may be able to more efficiently and effectively develop the necessary skills to provide effective case management of chronic disease. Copyright 2013, SLACK Incorporated.

Six ways problem-based learning cases can sabotage patient-centered medical education.

PubMed

MacLeod, Anna

2011-07-01

Problem-based learning (PBL) cases tell a story of a medical encounter; however, the version of the story is typically very biomedical in focus. The patient and her or his experience of the situation are rarely the focus of the case despite a prevalent discourse of patient-centeredness in contemporary medical education. This report describes a qualitative study that explored the question, "How does PBL teach medical students about what matters in medicine?" The qualitative study, culminating in 2008, involved three data collection strategies: (1) a discourse analysis of a set of PBL cases from 2005 to 2006, (2) observation of a PBL tutorial group, and (3) semistructured, in-depth, open-ended interviews with medical educators and medical students. In this report, using data gathered from 67 PBL cases, 26 hours of observation, and 14 interviews, the author describes six specific ways in which PBL cases-if not thoughtfully conceptualized and authored-can serve to overlook social considerations, thereby undermining a patient-centered approach. These comprise the detective case, the shape-shifting patient, the voiceless PBL person, the joke name, the disembodied PBL person, and the stereotypical PBL person. PBL cases constitute an important component of undergraduate medical education. Thoughtful authoring of PBL cases has the potential to reinforce, rather than undermine, principles of patient-centeredness.

A Case Study in Project-Based Learning: An International Partnership

ERIC Educational Resources Information Center

Smith, Rachel Korfhage

2010-01-01

As our world becomes more integrated, international business students should develop skills that match corporations' needs. Moreover, students need hands-on, problem-solving, team-based, critical-thinking skills that companies demand. Students need international business experience but many of them lack the funds or support to study or intern…

Case-based medical informatics

PubMed Central

Pantazi, Stefan V; Arocha, José F; Moehr, Jochen R

2004-01-01

Background The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four interconnected modalities of knowledge. In addition to the traditional differentiation between implicit and explicit knowledge we outline the concepts of general and individual knowledge. We connect general knowledge with the "frame problem," a fundamental issue of artificial intelligence, and individual knowledge with another important paradigm of artificial intelligence, case-based reasoning, a method of individual knowledge processing that aims at solving new problems based on the solutions to similar past problems. We outline the fundamental differences between Medical Informatics and theoretical sciences and propose that Medical Informatics research should advance individual knowledge processing (case-based reasoning) and that natural language processing research is an important step towards this goal that may have ethical implications for patient-centered health medicine. Discussion We focus on fundamental aspects of decision-making, which connect human expertise with individual knowledge processing. We continue with a knowledge spectrum perspective on biomedical knowledge and conclude that case-based reasoning is the paradigm that can advance towards personalized healthcare and that can enable the education of patients and providers. We center the discussion on formal methods of knowledge representation around the frame problem. We propose a context-dependent view on the notion of "meaning" and advocate the need for case-based reasoning research and natural language processing. In the context of memory based knowledge processing, pattern recognition, comparison and analogy-making, we conclude that while humans seem to naturally support the case-based reasoning paradigm (memory of past experiences of problem-solving and powerful case matching mechanisms), technical solutions are challenging. Finally, we discuss the major challenges for a technical solution: case record comprehensiveness, organization of information on similarity principles, development of pattern recognition and solving ethical issues. Summary Medical Informatics is an applied science that should be committed to advancing patient-centered medicine through individual knowledge processing. Case-based reasoning is the technical solution that enables a continuous individual knowledge processing and could be applied providing that challenges and ethical issues arising are addressed appropriately. PMID:15533257

Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation

USGS Publications Warehouse

Mirus, B.B.; Ebel, B.A.; Heppner, C.S.; Loague, K.

2011-01-01

Concept development simulation with distributed, physics-based models provides a quantitative approach for investigating runoff generation processes across environmental conditions. Disparities within data sets employed to design and parameterize boundary value problems used in heuristic simulation inevitably introduce various levels of bias. The objective was to evaluate the impact of boundary value problem complexity on process representation for different runoff generation mechanisms. The comprehensive physics-based hydrologic response model InHM has been employed to generate base case simulations for four well-characterized catchments. The C3 and CB catchments are located within steep, forested environments dominated by subsurface stormflow; the TW and R5 catchments are located in gently sloping rangeland environments dominated by Dunne and Horton overland flows. Observational details are well captured within all four of the base case simulations, but the characterization of soil depth, permeability, rainfall intensity, and evapotranspiration differs for each. These differences are investigated through the conversion of each base case into a reduced case scenario, all sharing the same level of complexity. Evaluation of how individual boundary value problem characteristics impact simulated runoff generation processes is facilitated by quantitative analysis of integrated and distributed responses at high spatial and temporal resolution. Generally, the base case reduction causes moderate changes in discharge and runoff patterns, with the dominant process remaining unchanged. Moderate differences between the base and reduced cases highlight the importance of detailed field observations for parameterizing and evaluating physics-based models. Overall, similarities between the base and reduced cases indicate that the simpler boundary value problems may be useful for concept development simulation to investigate fundamental controls on the spectrum of runoff generation mechanisms. Copyright 2011 by the American Geophysical Union.

Longitudinal Assessment of Progress in Reasoning Capacity and Relation with Self-Estimation of Knowledge Base

ERIC Educational Resources Information Center

Collard, Anne; Mélot, France; Bourguignon, Jean-Pierre

2015-01-01

The aim of the study was to investigate progress in reasoning capacity and knowledge base appraisal in a longitudinal analysis of data from summative evaluation throughout a medical problem-based learning curriculum. The scores in multidisciplinary discussion of a clinical case and multiple choice questionnaires (MCQs) were studied longitudinally…

Interactive Drawing Therapy and Chinese Migrants with Gambling Problems

ERIC Educational Resources Information Center

Zhang, Wenli; Everts, Hans

2012-01-01

Ethnic Chinese migrants in a country like New Zealand face a range of well-documented challenges. A proportion of such migrants find that recreational gambling turns into a pernicious gambling problem. This issue is addressed through illustrated case studies of Interactive Drawing Therapy, a drawing-based modality of therapy that facilitates…

Treating an HIV/AIDS Patient's PTSD and Medication Nonadherence with Cognitive-Behavioral Therapy: A Principle-Based Approach

ERIC Educational Resources Information Center

Chernoff, Robert A.

2007-01-01

HIV/AIDS patients with medication adherence problems are vulnerable to developing drug resistance, immune system degradation, and opportunistic infections. Poor adherence to antiretroviral medication regimens can be aggravated by psychiatric problems, including depression and posttraumatic stress disorder. This article presents the case study of a…

Collaborative Learning Utilizing Case-Based Problems

ERIC Educational Resources Information Center

Hilvano, Nestor T.; Mathis, Karen M.; Schauer, Daniel P.

2014-01-01

Engaging students in discussion and creating high impact teaching and learning practices are a challenge in every classroom. Small group discussion and poster presentations were used to solve case-based problems to highlight issues for the learner and to allow each student to demonstrate understanding and application of theory to real life…

A comparison of fitness-case sampling methods for genetic programming

NASA Astrophysics Data System (ADS)

Martínez, Yuliana; Naredo, Enrique; Trujillo, Leonardo; Legrand, Pierrick; López, Uriel

2017-11-01

Genetic programming (GP) is an evolutionary computation paradigm for automatic program induction. GP has produced impressive results but it still needs to overcome some practical limitations, particularly its high computational cost, overfitting and excessive code growth. Recently, many researchers have proposed fitness-case sampling methods to overcome some of these problems, with mixed results in several limited tests. This paper presents an extensive comparative study of four fitness-case sampling methods, namely: Interleaved Sampling, Random Interleaved Sampling, Lexicase Selection and Keep-Worst Interleaved Sampling. The algorithms are compared on 11 symbolic regression problems and 11 supervised classification problems, using 10 synthetic benchmarks and 12 real-world data-sets. They are evaluated based on test performance, overfitting and average program size, comparing them with a standard GP search. Comparisons are carried out using non-parametric multigroup tests and post hoc pairwise statistical tests. The experimental results suggest that fitness-case sampling methods are particularly useful for difficult real-world symbolic regression problems, improving performance, reducing overfitting and limiting code growth. On the other hand, it seems that fitness-case sampling cannot improve upon GP performance when considering supervised binary classification.

Case Study: Using Microbe Molecular Biology for Gulf Oil Spill Clean Up

ERIC Educational Resources Information Center

Jones, Daniel R.

2011-01-01

This case has the student actively investigate the regulation of expression of a novel bacterial gene in the context of attempts to solve a real world problem, clean up of the April 2010 Deep Water Horizon oil spill in the Gulf of Mexico. Although the case is fictitious, it is based on factual gene regulatory characteristics of oil-degrading…

Scientific Reasoning and Its Relationship with Problem Solving: The Case of Upper Primary Science Teachers

ERIC Educational Resources Information Center

Alshamali, Mahmoud A.; Daher, Wajeeh M.

2016-01-01

This study aimed at identifying the levels of scientific reasoning of upper primary stage (grades 4-7) science teachers based on their use of a problem-solving strategy. The study sample (N = 138; 32 % male and 68 % female) was randomly selected using stratified sampling from an original population of 437 upper primary school teachers. The…

Integrated Safety Risk Reduction Approach to Enhancing Human-Rated Spaceflight Safety

NASA Astrophysics Data System (ADS)

Mikula, J. F. Kip

2005-12-01

This paper explores and defines the current accepted concept and philosophy of safety improvement based on a Reliability enhancement (called here Reliability Enhancement Based Safety Theory [REBST]). In this theory a Reliability calculation is used as a measure of the safety achieved on the program. This calculation may be based on a math model or a Fault Tree Analysis (FTA) of the system, or on an Event Tree Analysis (ETA) of the system's operational mission sequence. In each case, the numbers used in this calculation are hardware failure rates gleaned from past similar programs. As part of this paper, a fictional but representative case study is provided that helps to illustrate the problems and inaccuracies of this approach to safety determination. Then a safety determination and enhancement approach based on hazard, worst case analysis, and safety risk determination (called here Worst Case Based Safety Theory [WCBST]) is included. This approach is defined and detailed using the same example case study as shown in the REBST case study. In the end it is concluded that an approach combining the two theories works best to reduce Safety Risk.

UXDs-Driven Transferring Method from TRIZ Solution to Domain Solution

NASA Astrophysics Data System (ADS)

Ma, Lihui; Cao, Guozhong; Chang, Yunxia; Wei, Zihui; Ma, Kai

The translation process from TRIZ solutions to domain solutions is an analogy-based process. TRIZ solutions, such as 40 inventive principles and the related cases, are medium-solutions for domain problems. Unexpected discoveries (UXDs) are the key factors to trigger designers to generate new ideas for domain solutions. The Algorithm of UXD resolving based on Means-Ends Analysis(MEA) is studied and an UXDs-driven transferring method from TRIZ solution to domain solution is formed. A case study shows the application of the process.

Misconceptions about case-mix payments for nursing homes.

PubMed

Grimaldi, P L

1987-04-01

Despite the increasing use of case-mix payment systems for skilled and intermediate nursing home care (at least 10 state Medicaid programs have adopted or are considering adopting such a system), misconceptions about such systems still exist. Unless these inaccurate perceptions are corrected, a state may adopt a system that fails to realize its goals. Some of these misconceptions include the beliefs that case-mix payment systems: Apply to all nursing homes costs; Will benefit hospital-based facilities; Will resolve the access problems of heavy care public patients; Will result in higher statewide payment rates because patient characteristics are factored directly into the calculations. In fact, case-mix adjustments are applied only to costs that can be traced directly to patients' impairments. Nursing services and some ancillary services are dependent on case mix, while administrative and support services are largely independent of case mix. Capital costs usually can be ignored in formulating the case-mix adjustment. Although hospital-based facilities frequently have sicker patients than freestanding facilities, studies show that only a portion of the cost differential is explained by case-mix differences. In the case of heavy-care patients, some believe that case-mix payment systems will resolve access problems by paying higher rates in response to the higher treatment costs. Access may not improve, however, if the new rates are lower than those paid by comparable private patients. Perhaps a loosening in the certificate-of-need process will also be needed to resolve the access problem.(ABSTRACT TRUNCATED AT 250 WORDS)

A Descriptive Case Study of Writing Standards-Based Individualized Education Plan Goals via Problem-Based Learning in a Virtual World

ERIC Educational Resources Information Center

Blair, Peter J.

2017-01-01

The goal of this study was to examine the professional development experiences of two contrastive participants while they were creating standards-based individualized education plan (IEP) goals using a virtual world called TeacherSim. Two specific focuses of the study were on how special educators engaged with the task of creating standards-based…

Using iPad-Based Mobile Learning to Teach Creative Engineering within a Problem-Based Learning Pedagogy

ERIC Educational Resources Information Center

Li, Yulong; Wang, Lixun

2018-01-01

This case study, noting the increasing interest in iPad-based mobile learning research and aware of the current dearth of engineering talent in the UK, aims to contribute to a still sparse area of research that links iPad use to engineering education. To achieve this, the study investigates the integration of iPad-based mobile learning…

Class and Home Problems: Modeling of an Industrial Anaerobic Digester: A Case Study for Undergraduate Students

ERIC Educational Resources Information Center

Durruty, Ignacio; Ayude, María A.

2014-01-01

The case study discussed in this work is used at the chemical reaction engineering course, offered in fifth-year of the chemical engineering undergraduate program at National University of Mar del Plata (UNMdP). A serial-parallel reaction system based on the anaerobic degradation of particulate-containing potato processing wastewater is presented.…

Problem-Based Learning Spanning Real and Virtual Words: A Case Study in Second Life

ERIC Educational Resources Information Center

Good, Judith; Howland, Katherine; Thackray, Liz

2008-01-01

There is a growing use of immersive virtual environments for educational purposes. However, much of this activity is not yet documented in the public domain, or is descriptive rather than analytical. This paper presents a case study in which university students were tasked with building an interactive learning experience using Second Life as a…

Internationalisation of the Chemistry Curriculum: Two Problem-Based Learning Activities for Undergraduate Chemists

ERIC Educational Resources Information Center

Overton, Tina L.; Bradley, John S.

2010-01-01

In this paper we describe the development and evaluation of two activities for delivery in first year B.Sc. and M.Chem. degree courses, in which we introduced an international context representing either a linguistic or a cultural modification to the previously developed case studies. The case studies focus on an industrial and an environmental…

Determining the Antifungal Agent Clioquinol by HPLC, the Not so Pure Preparation: A Laboratory-Based Case Study for an Instrumental Analytical Chemistry Course

ERIC Educational Resources Information Center

Schaber, Peter M.; Hobika, Geoffrey

2018-01-01

The case study approach provides students with a better appreciation of how scientists solve problems and conduct themselves in the "real world". When applied to the undergraduate chemistry laboratory, this approach also challenges critical thinking skills and creativity in ways "cook book" experiments very often do not. This…

Exploring Adult Basic Education--Quality Services with Limited Funding: Qualitative Multiple Case Study

ERIC Educational Resources Information Center

Calaf, Dolores C.

2017-01-01

English for Speakers of Other Languages (ESOL) classes are in great demand by immigrant adults in the Boston area. The problem investigated in this study was the limited funding to implement ESOL programs in Boston, which has resulted in waiting lists for many contracted community-based programs. The purpose of this qualitative multiple case study…

ROENTGEN: case-based reasoning and radiation therapy planning.

PubMed Central

Berger, J.

1992-01-01

ROENTGEN is a design assistant for radiation therapy planning which uses case-based reasoning, an artificial intelligence technique. It learns both from specific problem-solving experiences and from direct instruction from the user. The first sort of learning is the normal case-based method of storing problem solutions so that they can be reused. The second sort is necessary because ROENTGEN does not, initially, have an internal model of the physics of its problem domain. This dependence on explicit user instruction brings to the forefront representational questions regarding indexing, failure definition, failure explanation and repair. This paper presents the techniques used by ROENTGEN in its knowledge acquisition and design activities. PMID:1482869

A case-based reasoning tool for breast cancer knowledge management with data mining concepts and techniques

NASA Astrophysics Data System (ADS)

Demigha, Souâd.

2016-03-01

The paper presents a Case-Based Reasoning Tool for Breast Cancer Knowledge Management to improve breast cancer screening. To develop this tool, we combine both concepts and techniques of Case-Based Reasoning (CBR) and Data Mining (DM). Physicians and radiologists ground their diagnosis on their expertise (past experience) based on clinical cases. Case-Based Reasoning is the process of solving new problems based on the solutions of similar past problems and structured as cases. CBR is suitable for medical use. On the other hand, existing traditional hospital information systems (HIS), Radiological Information Systems (RIS) and Picture Archiving Information Systems (PACS) don't allow managing efficiently medical information because of its complexity and heterogeneity. Data Mining is the process of mining information from a data set and transform it into an understandable structure for further use. Combining CBR to Data Mining techniques will facilitate diagnosis and decision-making of medical experts.

Development of a tool for assessment and care planning for dementia-related problem behaviors in home and community-based services programs: the Problem Behavior Inventory.

PubMed

Phillips, V L; Diwan, Sadhna; Egner, Amanda

2002-01-01

To describe development, validity, and application of the Problem Behavior Inventory (PBI), a tool to assess dementia-related problem behaviors (DRPBs) in community-based populations. Demographic, contact, and disease-specific data were extracted from client files from a Medicaid-funded home and community-based services program. Primary caregivers completed standard surveys relating to the care recipients' memory, mood, and behaviors. The client (care recipient) completed the Mini-Mental Status Exam (MMSE). Cognitively impaired clients, enrolled in the Community Care Services Program (CCSP) during a reference month, and their primary caregivers, were identified by CCSP case managers for participation in the study. Primary caregivers completed the Revised Memory and Behavior Problem Checklist (RMBPC). Clients screening positive for the presence of DRPBs based on caregiver responses to the RMBPC were then assessed using the Problem Behavior Inventory (PBI). Within the CCSP sample, the most prevalent behavior was appearing sad or depressed (67%), while the most frequent behavior was seeking attention, occurring at least daily in 58% of the group. The most bothersome behaviors were being sexually inappropriate, wandering, and misbehaving in public. Examination by behavior category (physical, verbal, mood, etc.) revealed a strong relationship between level of bother and behavior frequency. Frequency of verbal behaviors was positively related to MMSE scores, whereas frequency of ADL-related behaviors was inversely related to MMSE scores. Bother scores were not associated with MMSE scores. This study documents that the PBI is a valid, useful, and feasible tool for assessing DRPBs in community populations. Case managers using the PBI can determine specific problem behavior areas among client populations and for individual clients and institute client-specific interventions to address each issue.

Can Interactive Web-Based CAD Tools Improve the Learning of Engineering Drawing? A Case Study

ERIC Educational Resources Information Center

Pando Cerra, Pablo; Suárez González, Jesús M.; Busto Parra, Bernardo; Rodríguez Ortiz, Diana; Álvarez Peñín, Pedro I.

2014-01-01

Many current Web-based learning environments facilitate the theoretical teaching of a subject but this may not be sufficient for those disciplines that require a significant use of graphic mechanisms to resolve problems. This research study looks at the use of an environment that can help students learn engineering drawing with Web-based CAD…

Use of Evidence-Based Decision-Making in Comprehensive Dental Treatment of a Patient with Meth Mouth-A Case Report.

PubMed

Al Hazzani, Saad A

2017-06-01

This case report illustrates the use of evidence-based practice in formulating a comprehensive dental treatment plan for a patient who presented himself with signs of oral health debilitation accompanying methamphetamine (MA) abuse called "meth mouth" with the goal of providing dental care practitioners in Saudi Arabia with an insight into the global problem of MA abuse and its impact on oral health. This report documents the case of a 22-year-old male patient who reported to the clinic with rampant caries caused due to MA abuse exacerbated by poor oral hygiene and smoking habit. The treatment plan of this present case was formulated on the lines of the evidence-based dentistry approach. A clinical question was composed based on the Problem, Intervention, Comparison, and Outcome format to identify past studies and case reports on meth mouth. A standard search was conducted on PubMed Central. Standard guidelines on the treatment of meth mouth were extracted from the Web site of the American Dental Association. A total of 2 systematic reviews, 7 review articles, 4 epidemiologic studies, 5 case reports, and 1 American Dental Association guideline were found. Accelerated dental decay leading to rampant caries in young and middle-aged adults is a characteristic oral finding in MA abusers. The most important factor that affects the prognosis of dental care is complete cessation of MA use by the patient. Copyright © 2017 Elsevier Inc. All rights reserved.

Multi-GPU implementation of a VMAT treatment plan optimization algorithm.

PubMed

Tian, Zhen; Peng, Fei; Folkerts, Michael; Tan, Jun; Jia, Xun; Jiang, Steve B

2015-06-01

Volumetric modulated arc therapy (VMAT) optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing units (GPUs) have been used to speed up the computations. However, GPU's relatively small memory size cannot handle cases with a large dose-deposition coefficient (DDC) matrix in cases of, e.g., those with a large target size, multiple targets, multiple arcs, and/or small beamlet size. The main purpose of this paper is to report an implementation of a column-generation-based VMAT algorithm, previously developed in the authors' group, on a multi-GPU platform to solve the memory limitation problem. While the column-generation-based VMAT algorithm has been previously developed, the GPU implementation details have not been reported. Hence, another purpose is to present detailed techniques employed for GPU implementation. The authors also would like to utilize this particular problem as an example problem to study the feasibility of using a multi-GPU platform to solve large-scale problems in medical physics. The column-generation approach generates VMAT apertures sequentially by solving a pricing problem (PP) and a master problem (MP) iteratively. In the authors' method, the sparse DDC matrix is first stored on a CPU in coordinate list format (COO). On the GPU side, this matrix is split into four submatrices according to beam angles, which are stored on four GPUs in compressed sparse row format. Computation of beamlet price, the first step in PP, is accomplished using multi-GPUs. A fast inter-GPU data transfer scheme is accomplished using peer-to-peer access. The remaining steps of PP and MP problems are implemented on CPU or a single GPU due to their modest problem scale and computational loads. Barzilai and Borwein algorithm with a subspace step scheme is adopted here to solve the MP problem. A head and neck (H&N) cancer case is then used to validate the authors' method. The authors also compare their multi-GPU implementation with three different single GPU implementation strategies, i.e., truncating DDC matrix (S1), repeatedly transferring DDC matrix between CPU and GPU (S2), and porting computations involving DDC matrix to CPU (S3), in terms of both plan quality and computational efficiency. Two more H&N patient cases and three prostate cases are used to demonstrate the advantages of the authors' method. The authors' multi-GPU implementation can finish the optimization process within ∼ 1 min for the H&N patient case. S1 leads to an inferior plan quality although its total time was 10 s shorter than the multi-GPU implementation due to the reduced matrix size. S2 and S3 yield the same plan quality as the multi-GPU implementation but take ∼4 and ∼6 min, respectively. High computational efficiency was consistently achieved for the other five patient cases tested, with VMAT plans of clinically acceptable quality obtained within 23-46 s. Conversely, to obtain clinically comparable or acceptable plans for all six of these VMAT cases that the authors have tested in this paper, the optimization time needed in a commercial TPS system on CPU was found to be in an order of several minutes. The results demonstrate that the multi-GPU implementation of the authors' column-generation-based VMAT optimization can handle the large-scale VMAT optimization problem efficiently without sacrificing plan quality. The authors' study may serve as an example to shed some light on other large-scale medical physics problems that require multi-GPU techniques.

Construction Method of Analytical Solutions to the Mathematical Physics Boundary Problems for Non-Canonical Domains

NASA Astrophysics Data System (ADS)

Mobarakeh, Pouyan Shakeri; Grinchenko, Victor T.

2015-06-01

The majority of practical cases of acoustics problems requires solving the boundary problems in non-canonical domains. Therefore construction of analytical solutions of mathematical physics boundary problems for non-canonical domains is both lucrative from the academic viewpoint, and very instrumental for elaboration of efficient algorithms of quantitative estimation of the field characteristics under study. One of the main solving ideologies for such problems is based on the superposition method that allows one to analyze a wide class of specific problems with domains which can be constructed as the union of canonically-shaped subdomains. It is also assumed that an analytical solution (or quasi-solution) can be constructed for each subdomain in one form or another. However, this case implies some difficulties in the construction of calculation algorithms, insofar as the boundary conditions are incompletely defined in the intervals, where the functions appearing in the general solution are orthogonal to each other. We discuss several typical examples of problems with such difficulties, we study their nature and identify the optimal methods to overcome them.

Integration of Problem-Based Learning and Web-Based Multimedia to Enhance Soil Management Course

NASA Astrophysics Data System (ADS)

Strivelli, R.; Krzic, M.; Crowley, C.; Dyanatkar, S.; Bomke, A.; Simard, S.; Grand, S.

2012-04-01

In an attempt to address declining enrolment in soil science programs and the changing learning needs of 21st century students, several universities in North America and around the world have re-organized their soil science curriculum and adopted innovative educational approaches and web-based teaching resources. At the University of British Columbia, Canada, an interdisciplinary team set out to integrate teaching approaches to address this trend. The objective of this project was to develop an interactive web-based teaching resource, which combined a face-to-face problem-based learning (PBL) case study with multimedia to illustrate the impacts of three land-uses on soil transformation and quality. The Land Use Impacts (LUI) tool (http://soilweb.landfood.ubc.ca/luitool/) was a collaborative and concentrated effort to maximize the advantages of two educational approaches: (1) the web's interactivity, flexibility, adaptability and accessibility, and (2) PBL's ability to foster an authentic learning environment, encourage group work and promote the application of core concepts. The design of the LUI case study was guided by Herrington's development principles for web-based authentic learning. The LUI tool presented students with rich multimedia (streaming videos, text, data, photographs, maps, and weblinks) and real world tasks (site assessment and soil analysis) to encourage students to utilize knowledge of soil science in collaborative problem-solving. Preliminary student feedback indicated that the LUI tool effectively conveyed case study objectives and was appealing to students. The resource is intended primarily for students enrolled in an upper level undergraduate/graduate university course titled Sustainable Soil Management but it is flexible enough to be adapted to other natural resource courses. Project planning and an interactive overview of the tool will be given during the presentation.

Study designs may influence results: the problems with questionnaire-based case-control studies on the epidemiology of glioma.

PubMed

Johansen, Christoffer; Schüz, Joachim; Andreasen, Anne-Marie Serena; Dalton, Susanne Oksbjerg

2017-03-28

Glioma is a rare brain tumour with a very poor prognosis and the search for modifiable factors is intense. We reviewed the literature concerning risk factors for glioma obtained in case-control designed epidemiological studies in order to discuss the influence of this methodology on the observed results. When reviewing the association between three exposures, medical radiation, exogenous hormone use and allergy, we critically appraised the evidence from both case-control and cohort studies. For medical radiation and hormone replacement therapy (HRT), questionnaire-based case-control studies appeared to show an inverse association, whereas nested case-control and cohort studies showed no association. For allergies, the inverse association was observed irrespective of study design. We recommend that the questionnaire-based case-control design be placed lower in the hierarchy of studies for establishing cause-and-effect for diseases such as glioma. We suggest that a state-of-the-art case-control study should, as a minimum, be accompanied by extensive validation of the exposure assessment methods and the representativeness of the study sample with regard to the exposures of interest. Otherwise, such studies cannot be regarded as 'hypothesis testing' but only 'hypothesis generating'. We consider that this holds true for all questionnaire-based case-control studies on cancer and other chronic diseases, although perhaps not to the same extent for each exposure-outcome combination.

Insurance problems among inflammatory bowel disease patients: results of a Dutch population based study.

PubMed

Russel, M G V M; Ryan, B M; Dagnelie, P C; de Rooij, M; Sijbrandij, J; Feleus, A; Hesselink, M; Muris, J W; Stockbrugger, R

2003-03-01

The majority of patients with inflammatory bowel disease (IBD) have a normal life expectancy and therefore should not be weighted when applying for life assurance. There is scant literature on this topic. In this study our aim was to document and compare the incidence of difficulties in application for life and medical insurance in a population based cohort of IBD patients and matched population controls. A population based case control study of 1126 IBD patients and 1723 controls. Based on a detailed questionnaire, the frequency and type of difficulties encountered when applying for life and medical insurance in matched IBD and control populations were appraised. In comparison with controls, IBD patients had an 87-fold increased risk of encountering difficulties when applying for life assurance (odds ratio (OR) 87 (95% confidence interval (CI) 31-246)), with a heavily weighted premium being the most common problem. Patients of high educational status, with continuous disease activity, and who smoked had the highest odds of encountering such problems. Medical insurance difficulties were fivefold more common in IBD patients compared with controls (OR 5.4 (95% CI 2.3-13)) although no specific disease or patient characteristics were identified as associated with such difficulties. This is the first detailed case control study that has investigated insurance difficulties among IBD patients. Acquiring life and medical insurance constituted a major problem for IBD patients in this study. These results are likely to be more widely representative given that most insurance companies use international guidelines for risk assessment. In view of the recent advances in therapy and promising survival data on IBD patients, evidence based guidelines for risk assessment of IBD patients by insurance companies should be drawn up to prevent possible discriminatory practices.

Insurance problems among inflammatory bowel disease patients: results of a Dutch population based study

PubMed Central

Russel, M G V M; Ryan, B M; Dagnelie, P C; de Rooij, M; Sijbrandij, J; Feleus, A; Hesselink, M; Muris, J W; Stockbrugger, R

2003-01-01

Background and aims: The majority of patients with inflammatory bowel disease (IBD) have a normal life expectancy and therefore should not be weighted when applying for life assurance. There is scant literature on this topic. In this study our aim was to document and compare the incidence of difficulties in application for life and medical insurance in a population based cohort of IBD patients and matched population controls. Methods: A population based case control study of 1126 IBD patients and 1723 controls. Based on a detailed questionnaire, the frequency and type of difficulties encountered when applying for life and medical insurance in matched IBD and control populations were appraised. Results: In comparison with controls, IBD patients had an 87-fold increased risk of encountering difficulties when applying for life assurance (odds ratio (OR) 87 (95% confidence interval (CI) 31–246)), with a heavily weighted premium being the most common problem. Patients of high educational status, with continuous disease activity, and who smoked had the highest odds of encountering such problems. Medical insurance difficulties were fivefold more common in IBD patients compared with controls (OR 5.4 (95% CI 2.3–13)) although no specific disease or patient characteristics were identified as associated with such difficulties. Conclusions: This is the first detailed case control study that has investigated insurance difficulties among IBD patients. Acquiring life and medical insurance constituted a major problem for IBD patients in this study. These results are likely to be more widely representative given that most insurance companies use international guidelines for risk assessment. In view of the recent advances in therapy and promising survival data on IBD patients, evidence based guidelines for risk assessment of IBD patients by insurance companies should be drawn up to prevent possible discriminatory practices. PMID:12584216

The effect of community based soil conservation works on runoff and sediment loss in the Ethiopian highlands: case of Birr Watershed

USDA-ARS?s Scientific Manuscript database

Soil erosion is a serious problem in the Ethiopian highlands. Conventional erosion control approaches have generally been ineffective in halting this problem. The presented study measured precipitation, sediment yield and stream flow in 2013 and 2014 in the Ene-Chilala subwatershed of the Birr River...

Case Studies in Critical Ecoliteracy: A Curriculum for Analyzing the Social Foundations of Environmental Problems

ERIC Educational Resources Information Center

Turner, Rita; Donnelly, Ryan

2013-01-01

This article outlines the features and application of a set of model curriculum materials that utilize eco-democratic principles and humanities-based content to cultivate critical analysis of the cultural foundations of socio-environmental problems. We first describe the goals and components of the materials, then discuss results of their use in…

Educators' Perceptions of a School-Based Antibullying Program in an Elementary School

ERIC Educational Resources Information Center

Sims-Jones, Jacquelyn

2018-01-01

Bullying is a problem experienced in schools across the country including in the ABC Elementary School in Georgia, where the No Place for Hate antibullying program is in place to address this problem. The purpose of this qualitative case study was to understand educators' perspectives on their experiences implementing the program. Bandura's social…

EFFECTIVENESS OF PROBLEM BASED LEARNING AS A STRATEGY TO FOSTER PROBLEM SOLVING AND CRITICAL REASONING SKILLS AMONG MEDICAL STUDENTS.

PubMed

Asad, Munazza; Iqbal, Khadija; Sabir, Mohammad

2015-01-01

Problem based learning (PBL) is an instructional approach that utilizes problems or cases as a context for students to acquire problem solving skills. It promotes communication skills, active learning, and critical thinking skills. It encourages peer teaching and active participation in a group. It was a cross-sectional study conducted at Al Nafees Medical College, Isra University, Islamabad, in one month duration. This study was conducted on 193 students of both 1st and 2nd year MBBS. Each PBL consists of three sessions, spaced by 2-3 days. In the first session students were provided a PBL case developed by both basic and clinical science faculty. In Session 2 (group discussion), they share, integrate their knowledge with the group and Wrap up (third session), was concluded at the end. A questionnaire based survey was conducted to find out overall effectiveness of PBL sessions. Teaching through PBLs greatly improved the problem solving and critical reasoning skills with 60% students of first year and 71% of 2nd year agreeing that the acquisition of knowledge and its application in solving multiple choice questions (MCQs) was greatly improved by these sessions. They observed that their self-directed learning, intrinsic motivation and skills to relate basic concepts with clinical reasoning which involves higher order thinking have greatly enhanced. Students found PBLs as an effective strategy to promote teamwork and critical thinking skills. PBL is an effective method to improve critical thinking and problem solving skills among medical students.

Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

NASA Astrophysics Data System (ADS)

Gluhih, I. N.; Akhmadulin, R. K.

2017-07-01

One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

Case Study on Optimal Routing in Logistics Network by Priority-based Genetic Algorithm

NASA Astrophysics Data System (ADS)

Wang, Xiaoguang; Lin, Lin; Gen, Mitsuo; Shiota, Mitsushige

Recently, research on logistics caught more and more attention. One of the important issues on logistics system is to find optimal delivery routes with the least cost for products delivery. Numerous models have been developed for that reason. However, due to the diversity and complexity of practical problem, the existing models are usually not very satisfying to find the solution efficiently and convinently. In this paper, we treat a real-world logistics case with a company named ABC Co. ltd., in Kitakyusyu Japan. Firstly, based on the natures of this conveyance routing problem, as an extension of transportation problem (TP) and fixed charge transportation problem (fcTP) we formulate the problem as a minimum cost flow (MCF) model. Due to the complexity of fcTP, we proposed a priority-based genetic algorithm (pGA) approach to find the most acceptable solution to this problem. In this pGA approach, a two-stage path decoding method is adopted to develop delivery paths from a chromosome. We also apply the pGA approach to this problem, and compare our results with the current logistics network situation, and calculate the improvement of logistics cost to help the management to make decisions. Finally, in order to check the effectiveness of the proposed method, the results acquired are compared with those come from the two methods/ software, such as LINDO and CPLEX.

Toward an Understanding of Development of Learning to Solve Ill-Defined Problems in an Online Context: A Multi-Year Qualitative Exploratory Study

ERIC Educational Resources Information Center

Peddibhotla, Naren

2016-01-01

The case study is a classic tool used in several educational programs that emphasizes solving of illdefined problems. Though it has been used in classroom-based teaching and educators have developed a rich repertoire of methods, its use in online courses presents different challenges. To explore factors that develop skills in solving ill-defined…

Utilizing the Peer Group Method with Case Studies to Teach Pharmacokinetics.

ERIC Educational Resources Information Center

Sims, Pamela J.

1994-01-01

A pharmacy school large-group (110 students) course in pharmacokinetics was designed to incorporate small-group team-based problem solving. The method allows students to learn material through traditional lecture, research the topic further, discuss the information gained, and apply the learning to specific cases in a manner that promotes…

Discrete harmony search algorithm for scheduling and rescheduling the reprocessing problems in remanufacturing: a case study

NASA Astrophysics Data System (ADS)

Gao, Kaizhou; Wang, Ling; Luo, Jianping; Jiang, Hua; Sadollah, Ali; Pan, Quanke

2018-06-01

In this article, scheduling and rescheduling problems with increasing processing time and new job insertion are studied for reprocessing problems in the remanufacturing process. To handle the unpredictability of reprocessing time, an experience-based strategy is used. Rescheduling strategies are applied for considering the effect of increasing reprocessing time and the new subassembly insertion. To optimize the scheduling and rescheduling objective, a discrete harmony search (DHS) algorithm is proposed. To speed up the convergence rate, a local search method is designed. The DHS is applied to two real-life cases for minimizing the maximum completion time and the mean of earliness and tardiness (E/T). These two objectives are also considered together as a bi-objective problem. Computational optimization results and comparisons show that the proposed DHS is able to solve the scheduling and rescheduling problems effectively and productively. Using the proposed approach, satisfactory optimization results can be achieved for scheduling and rescheduling on a real-life shop floor.

Problems of Air Defense - and - Appedicies. Volumes I-III

DTIC Science & Technology

1951-08-01

have tee3.essarily involved sctiutiny of isuch areas as Fleet problems ancd air defense of forward bases, the major emphasisuof the study has been on ...identification procedures, in the period until the first attack, is that taey be pePrf ect to anout one : case in .100,000 in dits ’not_- friend fromn...t oniust dietto its alternaite ai-rporlt. Mn any case , "’ilthin. a sotinterva1 ^4 C t týuv I (a pendimt on the speed of data Process~ig - erh-ns

A Case Study of an Expert Problem Poser for Mathematics Competitions

ERIC Educational Resources Information Center

Kontorovich, Igor'; Koichu, Boris

2016-01-01

This paper is concerned with organizational principles of a pool of familiar problems of expert problem posers and the ways by which they are utilized for creating new problems. The presented case of Leo is part of a multiple-case study with expert problem posers for mathematics competitions. We present and inductively analyze the data collected…

Designing, Developing and Implementing a Software Tool for Scenario Based Learning

ERIC Educational Resources Information Center

Norton, Geoff; Taylor, Mathew; Stewart, Terry; Blackburn, Greg; Jinks, Audrey; Razdar, Bahareh; Holmes, Paul; Marastoni, Enrique

2012-01-01

The pedagogical value of problem-based and inquiry-based learning activities has led to increased use of this approach in many courses. While scenarios or case studies were initially presented to learners as text-based material, the development of modern software technology provides the opportunity to deliver scenarios as e-learning modules,…

Questionnaire-based assessment of executive functioning: Case studies.

PubMed

Kronenberger, William G; Castellanos, Irina; Pisoni, David B

2018-01-01

Delays in the development of executive functioning skills are frequently observed in pediatric neuropsychology populations and can have a broad and significant impact on quality of life. As a result, assessment of executive functioning is often relevant for the development of formulations and recommendations in pediatric neuropsychology clinical work. Questionnaire-based measures of executive functioning behaviors in everyday life have unique advantages and complement traditional neuropsychological measures of executive functioning. Two case studies of children with spina bifida are presented to illustrate the clinical use of a new questionnaire measure of executive and learning-related functioning, the Learning, Executive, and Attention Functioning Scale (LEAF). The LEAF emphasizes clinical utility in assessment by incorporating four characteristics: brevity in administration, breadth of additional relevant content, efficiency of scoring and interpretation, and ease of availability for use. LEAF results were consistent with another executive functioning checklist in documenting everyday behavior problems related to working memory, planning, and organization while offering additional breadth of assessment of domains such as attention, processing speed, and novel problem-solving. These case study results demonstrate the clinical utility of questionnaire-based measurement of executive functioning in pediatric neuropsychology and provide a new measure for accomplishing this goal.

"The Child's World": a creative and visual trigger to stimulate student enquiry in a problem based learning module.

PubMed

Barron, Carol; Lambert, Veronica; Conlon, Joy; Harrington, Tracey

2008-11-01

Despite the abundance of literature on problem based learning (PBL) [Murray, I., Savin-Baden, M., 2000. Staff development in problem-based learning. Teaching in Higher Education 5 (1), 107-126; Johnson, A.K., Tinning, R.S., 2001. Meeting the challenge of problem-based learning: developing the facilitators. Nurse Education Today 21 (3), 161-169; McCourt, C., Thomas, G., 2001. Evaluation of a problem based curriculum in midwifery. Midwifery 17 (4), 323-331; Cooke, M., Moyle, K., 2002. Students' evaluation of problem-based learning. Nurse Education Today 22, 330-339; Haith-Cooper, M., 2003a. An exploration of tutors' experiences of facilitating problem-based learning. Part 1--an educational research methodology combining innovation and philosophical tradition. Nurse Education Today 23, 58-64; Haith-Cooper, M., 2003b. An exploration of tutor' experiences of facilitating problem-based learning. Part 2--implications for the facilitation of problem based learning. Nurse Education Today 23, 65-75; Rowan, C.J., Mc Court, C., Beake, S., 2007. Problem based learning in midwifery--The teacher's perspective. Nurse Education Today 27, 131-138; Rowan, C.J., Mc Court, C., Beake, S., 2008. Problem based learning in midwifery--The students' perspective. Nurse Education Today 28, 93-99] few studies focus on describing "triggers", the process involved in their development and their evaluation from students' perspective. It is clearly documented that well designed, open ended, real life and challenging "triggers" are key to the success of PBL implementation [Roberts, D., Ousey, K., 2004. Problem based learning: developing the triggers. Experiences from a first wave site. Nurse Education in Practice 4, 154-158, Gibson, I., 2005. Designing projects for learning. In: Barrett, T., Mac Labhrainn, I., Fallon, H., (Eds.), Handbook of Enquiry and Problem-based Learning: Irish Case Studies and International Perspectives. AISHE & CELT: NUI Galway. , Barrett, T., 2005. Understanding problem-based learning. In: Barrett, T. Mac Labhrainn, I., Fallon, H., (Eds.), Handbook of Enquiry and Problem-based Learning: Irish Case Studies and International Perspectives. AISHE & CELT, NUI Galway. ]. This paper outlines the planning, implementation and evaluation of a "trigger" developed for a first year undergraduate nursing module. To meet specific module learning outcomes and to stimulate student inquiry through the learning strategy of PBL, a bright and colourful collage, was constructed. This tool was then evaluated using focus group interviews. Students' perspectives centered round a core theme, 'finding a focus and taking control'. Four categories were identified illustrating students progress from 'initial confusion' to engaging with the 'trigger diversity' before confidently 'exploring their own line of inquiry', thus leading to the 'stimulation of their learning'. Consistent with previous research, we also suggest it is customary for students to experience an initial period of ambiguity as they switch from teacher led to student centered learning [Biley, F., 1999. Creating tension: under graduate students nurses' response to a problem-based learning curriculum. Nurse Education Today 19 (7), 586-589]. One challenge in developing "triggers" is that the process is primarily controlled by lecturers. We suggest that a possible way forward would be to also engage students in the development of "triggers".

A multimedia case based approach to the study of office ergonomics.

PubMed

August-Dalfen, Sharon; Snider, Laurie

2003-01-01

Multimedia technology has the capacity to provide students with an interactive approach to problem based learning and to bridge the gap between theoretical knowledge and clinical practice. The present paper describes the design and development of the program ErgoROM, a CD which presents a case study to assist occupational therapy students in their studies of office ergonomics. A pilot study showed that overall, 91% of respondents rated the ErgoROM as either "Excellent" or "Very Good". Additionally they reported that ErgoROM had a positive impact on active learning and critical thinking.

Organising the Chemistry of Question-Based Learning: A Case Study

ERIC Educational Resources Information Center

de Jesus, Helena Pedrosa; de Souza, Francisle Neri; Teixeira-Dias, Jose J. C.; Watts, Mike

2005-01-01

Designing inquiry-based-learning with and for university students develops problem-solving skills and logical reasoning, as well as reflective thinking. It involves working as a member of a team, questioning, being creative, shaping the skills for continued intellectual development. It is argued that inquiry-based group work is one of the most…

iHelp: an intelligent online helpdesk system.

PubMed

Wang, Dingding; Li, Tao; Zhu, Shenghuo; Gong, Yihong

2011-02-01

Due to the importance of high-quality customer service, many companies use intelligent helpdesk systems (e.g., case-based systems) to improve customer service quality. However, these systems face two challenges: 1) Case retrieval measures: most case-based systems use traditional keyword-matching-based ranking schemes for case retrieval and have difficulty to capture the semantic meanings of cases and 2) result representation: most case-based systems return a list of past cases ranked by their relevance to a new request, and customers have to go through the list and examine the cases one by one to identify their desired cases. To address these challenges, we develop iHelp, an intelligent online helpdesk system, to automatically find problem-solution patterns from the past customer-representative interactions. When a new customer request arrives, iHelp searches and ranks the past cases based on their semantic relevance to the request, groups the relevant cases into different clusters using a mixture language model and symmetric matrix factorization, and summarizes each case cluster to generate recommended solutions. Case and user studies have been conducted to show the full functionality and the effectiveness of iHelp.

The Relationships between Problem Design and Learning Process in Problem-Based Learning Environments: Two Cases

ERIC Educational Resources Information Center

Hung, Woei; Mehl, Katherine; Holen, Jodi Bergland

2013-01-01

Some researchers have argued that the design of problems used in a Problem-based Learning (PBL) course or curriculum could have an impact on student learning cognitively or psychologically, such as students' self-directed learning process or engagement. To investigate the relationship between PBL problem design and students' self-directed learning…

An academic practice's transition to the business of medicine in the community. A case study.

PubMed

Griffin, S L; Schryver, D L

2000-01-01

This case study highlights the problems confronting a clinical practice corporation affiliated with a major medical school, and the business realizations it made in the acquisition of a community-based clinic. Launching a financially viable enterprise requires careful planning, determination of formal goals and expectations, an appropriate mix of physicians and services, a specific marketing campaign and community support.

A Case Study: A Guide to Working with a Language Impaired Child.

ERIC Educational Resources Information Center

Sapir, Selma G.; Rainho, Sergio

The document presents the case study of the interaction of a graduate student in traning, her supervisor, an 8 year old child with a language learning problem, and the child's mother. It involves a process which entails the careful matching of the child to tutor, the tutor to supervisor, and intensive work with the mother. It also is based on what…

Parent-Child Interaction Therapy for Children Born Premature: A Case Study and Illustration of Vagal Tone as a Physiological Measure of Treatment Outcome

ERIC Educational Resources Information Center

Bagner, Daniel M.; Sheinkopf, Stephen J.; Miller-Loncar, Cynthia L.; Vohr, Betty R.; Hinckley, Matthew; Eyberg, Sheila M.; Lester, Barry M.

2009-01-01

Evidence-based psychosocial interventions for externalizing behavior problems in children born premature have not been reported in the literature. This single-case study describes Parent-Child Interaction Therapy (PCIT) with a 23-month-old child born at 29 weeks gestation weighing 1,020 grams, who presented with significant externalizing behavior…

A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems.

PubMed

Kheiri, Ahmed; Keedwell, Ed

2017-01-01

Operations research is a well-established field that uses computational systems to support decisions in business and public life. Good solutions to operations research problems can make a large difference to the efficient running of businesses and organisations and so the field often searches for new methods to improve these solutions. The high school timetabling problem is an example of an operations research problem and is a challenging task which requires assigning events and resources to time slots subject to a set of constraints. In this article, a new sequence-based selection hyper-heuristic is presented that produces excellent results on a suite of high school timetabling problems. In this study, we present an easy-to-implement, easy-to-maintain, and effective sequence-based selection hyper-heuristic to solve high school timetabling problems using a benchmark of unified real-world instances collected from different countries. We show that with sequence-based methods, it is possible to discover new best known solutions for a number of the problems in the timetabling domain. Through this investigation, the usefulness of sequence-based selection hyper-heuristics has been demonstrated and the capability of these methods has been shown to exceed the state of the art.

Test-Enhanced Learning in Competence-Based Predoctoral Orthodontics: A Four-Year Study.

PubMed

Freda, Nicolas M; Lipp, Mitchell J

2016-03-01

Dental educators intend to promote integration of knowledge, skills, and values toward professional competence. Studies report that retrieval, in the form of testing, results in better learning with retention than traditional studying. The aim of this study was to evaluate test-enhanced experiences on demonstrations of competence in diagnosis and management of malocclusion and skeletal problems. The study participants were all third-year dental students (2011 N=88, 2012 N=74, 2013 N=91, 2014 N=85) at New York University College of Dentistry. The 2013 and 2014 groups received the test-enhanced method emphasizing formative assessments with written and dialogic delayed feedback, while the 2011 and 2012 groups received the traditional approach emphasizing lectures and classroom exercises. The students received six two-hour sessions, spaced one week apart. At the final session, a summative assessment consisting of the same four cases was administered. Students constructed a problem list, treatment objectives, and a treatment plan for each case, scored according to the same criteria. Grades were based on the number of cases without critical errors: A=0 critical errors on four cases, A-=0 critical errors on three cases, B+=0 critical errors on two cases, B=0 critical errors on one case, F=critical errors on four cases. Performance grades were categorized as high quality (B+, A-, A) and low quality (F, B). The results showed that the test-enhanced groups demonstrated statistically significant benefits at 95% confidence intervals compared to the traditional groups when comparing low- and high-quality grades. These performance trends support the continued use of the test-enhanced approach.

Using Analytics to Transform a Problem-Based Case Library: An Educational Design Research Approach

ERIC Educational Resources Information Center

Schmidt, Matthew; Tawfik, Andrew A.

2018-01-01

This article describes the iterative design, development, and evaluation of a case-based learning environment focusing on an ill-structured sales management problem. We discuss our processes and situate them within the broader framework of educational design research. The learning environment evolved over the course of three design phases. A…

Implementing Problem-Based Learning in an Undergraduate Psychology Course

ERIC Educational Resources Information Center

Searight, H. Russell; Searight, Barbara K.

2009-01-01

Problem-based learning (PBL) is a small-group pedagogical technique widely used in fields such as business, medicine, engineering, and architecture. In PBL, pre-written cases are used to teach core course content. PBL advocates state that course material is more likely to be retained and applied when presented as cases reflecting "real life"…

Signal Analysis of Automotive Engine Spark Ignition System using Case-Based Reasoning (CBR) and Case-based Maintenance (CBM)

NASA Astrophysics Data System (ADS)

Huang, H.; Vong, C. M.; Wong, P. K.

2010-05-01

With the development of modern technology, modern vehicles adopt electronic control system for injection and ignition. In traditional way, whenever there is any malfunctioning in an automotive engine, an automotive mechanic usually performs a diagnosis in the ignition system of the engine to check any exceptional symptoms. In this paper, we present a case-based reasoning (CBR) approach to help solve human diagnosis problem. Nevertheless, one drawback of CBR system is that the case library will be expanded gradually after repeatedly running the system, which may cause inaccuracy and longer time for the CBR retrieval. To tackle this problem, case-based maintenance (CBM) framework is employed so that the case library of the CBR system will be compressed by clustering to produce a set of representative cases. As a result, the performance (in retrieval accuracy and time) of the whole CBR system can be improved.

Case study and case-based research in emergency nursing and care: Theoretical foundations and practical application in paramedic pre-hospital clinical judgment and decision-making of patients with mental illness.

PubMed

Shaban, Ramon Z; Considine, Julie; Fry, Margaret; Curtis, Kate

2017-02-01

Generating knowledge through quality research is fundamental to the advancement of professional practice in emergency nursing and care. There are multiple paradigms, designs and methods available to researchers to respond to challenges in clinical practice. Systematic reviews, randomised control trials and other forms of experimental research are deemed the gold standard of evidence, but there are comparatively few such trials in emergency care. In some instances it is not possible or appropriate to undertake experimental research. When exploring new or emerging problems where there is limited evidence available, non-experimental methods are required and appropriate. This paper provides the theoretical foundations and an exemplar of the use of case study and case-based research to explore a new and emerging problem in the context of emergency care. It examines pre-hospital clinical judgement and decision-making of mental illness by paramedics. Using an exemplar the paper explores the theoretical foundations and conceptual frameworks of case study, it explains how cases are defined and the role researcher in this form of inquiry, it details important principles and the procedures for data gathering and analysis, and it demonstrates techniques to enhance trustworthiness and credibility of the research. Moreover, it provides theoretically and practical insights into using case study in emergency care. Copyright © 2017 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.

Inventory Control System for a Healthcare Apparel Service Centre with Stockout Risk: A Case Analysis

PubMed Central

Hui, Chi-Leung

2017-01-01

Based on the real-world inventory control problem of a capacitated healthcare apparel service centre in Hong Kong which provides tailor-made apparel-making services for the elderly and disabled people, this paper studies a partial backordered continuous review inventory control problem in which the product demand follows a Poisson process with a constant lead time. The system is controlled by an (Q,r) inventory policy which incorporate the stockout risk, storage capacity, and partial backlog. The healthcare apparel service centre, under the capacity constraint, aims to minimize the inventory cost and achieving a low stockout risk. To address this challenge, an optimization problem is constructed. A real case-based data analysis is conducted, and the result shows that the expected total cost on an order cycle is reduced substantially at around 20% with our proposed optimal inventory control policy. An extensive sensitivity analysis is conducted to generate additional insights. PMID:29527283

Inventory Control System for a Healthcare Apparel Service Centre with Stockout Risk: A Case Analysis.

PubMed

Pan, An; Hui, Chi-Leung

2017-01-01

Based on the real-world inventory control problem of a capacitated healthcare apparel service centre in Hong Kong which provides tailor-made apparel-making services for the elderly and disabled people, this paper studies a partial backordered continuous review inventory control problem in which the product demand follows a Poisson process with a constant lead time. The system is controlled by an ( Q , r ) inventory policy which incorporate the stockout risk, storage capacity, and partial backlog. The healthcare apparel service centre, under the capacity constraint, aims to minimize the inventory cost and achieving a low stockout risk. To address this challenge, an optimization problem is constructed. A real case-based data analysis is conducted, and the result shows that the expected total cost on an order cycle is reduced substantially at around 20% with our proposed optimal inventory control policy. An extensive sensitivity analysis is conducted to generate additional insights.

Innovating Professional Development for Future Health Care Practitioners.

ERIC Educational Resources Information Center

Hamilton, Charlene; Rucinski, Ann; Schakelman, Justin

2001-01-01

Describes a Web-based professional development curriculum that was designed at the University of Delaware for the internship portion of the Registered Dieticians program. Topics include distance learning; technology integration; combining in-class with online instruction; multimedia use for problem-based learning case studies; course management…

Factors Influencing the Use of Cognitive Tools in Web-Based Learning Environments: A Case Study

ERIC Educational Resources Information Center

Ozcelik, Erol; Yildirim, Soner

2005-01-01

High demands on learners in Web-based learning environments and constraints of the human cognitive system cause disorientation and cognitive overload. These problems could be inhibited if appropriate cognitive tools are provided to support learners' cognitive processes. The purpose of this study was to explore the factors influencing the use of…

Professional Development for Design-Based Learning in Engineering Education: A Case Study

ERIC Educational Resources Information Center

Gómez Puente, Sonia M.; van Eijck, Michiel; Jochems, Wim

2015-01-01

Design-based learning (DBL) is an educational approach in which students gather and apply theoretical knowledge to solve design problems. In this study, we examined how critical DBL dimensions (project characteristics, design elements, the teacher's role, assessment, and social context) are applied by teachers in the redesign of DBL projects.…

Promoting Environmental Justice through Community-Based Participatory Research: The Role of Community and Partnership Capacity

ERIC Educational Resources Information Center

Minkler, Meredith; Vasquez, Victoria Breckwich; Tajik, Mansoureh; Petersen, Dana

2008-01-01

Community-based participatory research (CBPR) increasingly is being used to study and address environmental justice. This article presents the results of a cross-site case study of four CBPR partnerships in the United States that researched environmental health problems and worked to educate legislators and promote relevant public policy. The…

Online Project-Based Learning: How Collaborative Strategies and Problem Solving Processes Impact Performance

ERIC Educational Resources Information Center

Thomas, W. Randall; Macgregor, S. Kim

2005-01-01

The goal of this study was to gain insights into the interactions that occur in online communications in a project-based learning activity implemented in an undergraduate course. A multi-case study was conducted of six collaborative groups, focusing on the types and frequencies of interactions that occurred within each group and the perceptions…

How chemical pollution becomes a social problem. Risk communication and assessment through regional newspapers during the management of PCB pollutions of the Rhône River (France).

PubMed

Comby, Emeline; Le Lay, Yves-François; Piégay, Hervé

2014-06-01

The case study of the polychlorinated biphenyl (PCB) pollutions of the Rhône River (France) offers the possibility of studying criteria for the construction of social problems that result from chemical pollution (2005-2010). We investigated the dynamics of competition that create and define pollution as a social problem and entail its decline. News outlets are crucial for determining how an environmental issue emerges locally or nationally; this study used newspapers to highlight the potential of new outlets as a data source to analyze discourse variability, science-policy-media connections and the hydrosphere. Media coverage was based on a content analysis and textual data analysis of 75 articles. Analytical frameworks such as the Downs Model and the Public Arena Model (Hilgartner and Bosk, 1988) that consider time and stakeholders were tested to determine how human alteration of the hydrosphere can become a social problem and to analyze different communication strategies held by stakeholders. In terms of management, we described the temporal dynamics of the social problem based on the case study and considered an explanation of the selections. We considered the organization of particular stakeholders who define the social problem from its beginning to end by focusing on their discourses, relationships, decision-making and political choices, and scientific studies. Despite some biases, newspapers are useful for retrospectively evaluating the emergence of a social problem in the public arena by describing it through discourse and then understanding the temporal patterns of information. Despite uncertainties and information flow, decisions are made and science is translated to the public. Copyright © 2014 Elsevier B.V. All rights reserved.

A dynamic feedback-control toll pricing methodology : a case study on Interstate 95 managed lanes.

DOT National Transportation Integrated Search

2013-06-01

Recently, congestion pricing emerged as a cost-effective and efficient strategy to mitigate the congestion problem on freeways. This study develops a feedback-control based dynamic toll approach to formulate and solve for optimal tolls. The study com...

Exploiting Bounded Signal Flow for Graph Orientation Based on Cause-Effect Pairs

NASA Astrophysics Data System (ADS)

Dorn, Britta; Hüffner, Falk; Krüger, Dominikus; Niedermeier, Rolf; Uhlmann, Johannes

We consider the following problem: Given an undirected network and a set of sender-receiver pairs, direct all edges such that the maximum number of "signal flows" defined by the pairs can be routed respecting edge directions. This problem has applications in communication networks and in understanding protein interaction based cell regulation mechanisms. Since this problem is NP-hard, research so far concentrated on polynomial-time approximation algorithms and tractable special cases. We take the viewpoint of parameterized algorithmics and examine several parameters related to the maximum signal flow over vertices or edges. We provide several fixed-parameter tractability results, and in one case a sharp complexity dichotomy between a linear-time solvable case and a slightly more general NP-hard case. We examine the value of these parameters for several real-world network instances. For many relevant cases, the NP-hard problem can be solved to optimality. In this way, parameterized analysis yields both deeper insight into the computational complexity and practical solving strategies.

Learning With Case-Injected Genetic Algorithms

DTIC Science & Technology

2004-08-01

JSSP ) offers an example of a problem that is suited to an 001 1 L[]1 order-based encoding where where the order of the allelles 010 1 1 matters. Order...8217 t. ýt2 * .tl problem. The next section uses the JSSP to propose and evaluate a solution similarity distance metric for order-based encodings. P1’ P2...P3 . Pn Fig. 7. Individual represents an allocation of platforms to targets. VII. JOB SHOP SCHEDULING ( JSSP ) The JSSP has been well studied elsewhere

Systematizing Scaffolding for Problem-Based Learning: A View from Case-Based Reasoning

ERIC Educational Resources Information Center

Tawfik, Andrew A.; Kolodner, Janet L.

2016-01-01

Current theories and models of education often argue that instruction is best administered when knowledge is situated within a context. Problem-based learning (PBL) provides an approach to education that has particularly powerful affordances for learning disciplinary content and practices by solving authentic problems within a discipline. However,…

On-the-Spot Problem Solving of Airline Professionals: A Case Study of Sky Business School Personnel Training Program

ERIC Educational Resources Information Center

Nara, Jun

2010-01-01

This research explores how chief cabin crew members of major airlines made their decisions on-the-spot when they had unexpected problems. This research also presents some insights that may improve personnel training programs for future stewardesses and stewards based on the investigation of their decision-making styles. The theoretical framework…

Distance Training in Function-based Interventions to Decrease Student Problem Behavior: Summary of 74 Cases from a University Course

ERIC Educational Resources Information Center

Pétursdóttir, Anna-Lind

2017-01-01

In this study, 188 master-level students received training through a distance education course to conduct functional behavioral assessments (FBAs) and behavior support plans with 68 boys and six girls (aged 3-20 years) displaying persistent behavior problems in inclusive preschools, elementary, and secondary schools. In the course, master-level…

Evolution of Students' Reasoning Skills on a Two Year Basis in a PBL Curriculum in Medicine.

ERIC Educational Resources Information Center

Bedard, Denis; And Others

A 2-year study at the University of Sherbrooke (Quebec) investigated the changes in six medical students' clinical reasoning processes as they participated in a problem-based learning (PBL) curriculum. In each year, students performed a think-aloud protocol with two medical case problems to solve, one in cardiology and one in urology. In the…

A New Method for Calibrating Perceptual Salience across Dimensions in Infants: The Case of Color vs. Luminance

ERIC Educational Resources Information Center

Kaldy, Zsuzsa; Blaser, Erik A.; Leslie, Alan M.

2006-01-01

We report a new method for calibrating differences in perceptual salience across feature dimensions, in infants. The problem of inter-dimensional salience arises in many areas of infant studies, but a general method for addressing the problem has not previously been described. Our method is based on a preferential looking paradigm, adapted to…

The Proposal of the Model for Developing Dispatch System for Nationwide One-Day Integrative Planning

NASA Astrophysics Data System (ADS)

Kim, Hyun Soo; Choi, Hyung Rim; Park, Byung Kwon; Jung, Jae Un; Lee, Jin Wook

The problems of dispatch planning for container truck are classified as the pickup and delivery problems, which are highly complex issues that consider various constraints in the real world. However, in case of the current situation, it is developed by the control system so that it requires the automated planning system under the view of nationwide integrative planning. Therefore, the purpose of this study is to suggest model to develop the automated dispatch system through the constraint satisfaction problem and meta-heuristic technique-based algorithm. In the further study, the practical system is developed and evaluation is performed in aspect of various results. This study suggests model to undergo the study which promoted the complexity of the problems by considering the various constraints which were not considered in the early study. However, it is suggested that it is necessary to add the study which includes the real-time monitoring function for vehicles and cargos based on the information technology.

Monitoring progression of clinical reasoning skills during health sciences education using the case method - a qualitative observational study.

PubMed

Orban, Kristina; Ekelin, Maria; Edgren, Gudrun; Sandgren, Olof; Hovbrandt, Pia; Persson, Eva K

2017-09-11

Outcome- or competency-based education is well established in medical and health sciences education. Curricula are based on courses where students develop their competences and assessment is also usually course-based. Clinical reasoning is an important competence, and the aim of this study was to monitor and describe students' progression in professional clinical reasoning skills during health sciences education using observations of group discussions following the case method. In this qualitative study students from three different health education programmes were observed while discussing clinical cases in a modified Harvard case method session. A rubric with four dimensions - problem-solving process, disciplinary knowledge, character of discussion and communication - was used as an observational tool to identify clinical reasoning. A deductive content analysis was performed. The results revealed the students' transition over time from reasoning based strictly on theoretical knowledge to reasoning ability characterized by clinical considerations and experiences. Students who were approaching the end of their education immediately identified the most important problem and then focused on this in their discussion. Practice knowledge increased over time, which was seen as progression in the use of professional language, concepts, terms and the use of prior clinical experience. The character of the discussion evolved from theoretical considerations early in the education to clinical reasoning in later years. Communication within the groups was supportive and conducted with a professional tone. Our observations revealed progression in several aspects of students' clinical reasoning skills on a group level in their discussions of clinical cases. We suggest that the case method can be a useful tool in assessing quality in health sciences education.

Strengths and weaknesses of Problem Based Learning from the professional perspective of registered nurses.

PubMed

Cónsul-Giribet, María; Medina-Moya, José Luis

2014-10-01

To identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups. An intrinsic case study method was used, which analyzes this innovation through former students (from the first class) with three years of professional experience. The data were collected through a questionnaire and discussion groups. The results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice. The teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life.

Strengths and weaknesses of Problem Based Learning from the professional perspective of registered nurses 1

PubMed Central

Cónsul-Giribet, María; Medina-Moya, José Luis

2014-01-01

OBJECTIVE: to identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups. METHOD: an intrinsic case study method was used, which analyzes this innovation through former students (from the first class) with three years of professional experience. The data were collected through a questionnaire and discussion groups. RESULTS: the results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice. CONCLUSIONS: the teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life. PMID:25493666

Intervention into a turbulent urban situation: A case study. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Caldwell, G. M., Jr.

1973-01-01

The application is reported of NASA management philosophy and techniques within New Castle County, Delaware, to meet actual problems of community violence. It resulted in restructuring the county approach to problems of this nature, and development of a comprehensive system for planning, based on the NASA planning process. The method involved federal, state, and local resources with community representatives in solving the problems. The concept of a turbulent environment is presented with parallels drawn between NASA management experience and problems of management within an urban arena.

An Evaluation of the Influence of Case Method Instruction on the Reflective Thinking of MSW Students

ERIC Educational Resources Information Center

Milner, Marleen

2009-01-01

Social work practice requires that graduates be prepared to deal with complex, multifaceted problems which cannot be defined completely, do not have absolute, correct answers and can be approached from multiple perspectives. This study evaluated the influence of case-based instruction on MSW students' reflective judgment, an aspect of critical…

Two Peas in a Pod?: A Case of Questionable Twins

ERIC Educational Resources Information Center

Welsh, Paul

2004-01-01

Based on an actual event, this case study focuses on problems associated with reproductive technologies. It tells the story of the "Jones" who, after in vitro fertilization, discovered that their fraternal twins were less similar in appearance than one would expect two brothers to be. Students work in teams to unravel the mystery using DNA…

Evaluation of an online, case-based interactive approach to teaching pathophysiology.

PubMed

Van Dijken, Pieter Canham; Thévoz, Sara; Jucker-Kupper, Patrick; Feihl, François; Bonvin, Raphaël; Waeber, Bernard

2008-06-01

The aim of this study was to evaluate a new pedagogical approach in teaching fluid, electrolyte and acid-base pathophysiology in undergraduate students. This approach comprises traditional lectures, the study of clinical cases on the web and a final interactive discussion of these cases in the classroom. When on the web, the students are asked to select laboratory tests that seem most appropriate to understand the pathophysiological condition underlying the clinical case. The percentage of students having chosen a given test is made available to the teacher who uses it in an interactive session to stimulate discussion with the whole class of students. The same teacher used the same case studies during 2 consecutive years during the third year of the curriculum. The majority of students answered the questions on the web as requested and evaluated positively their experience with this form of teaching and learning. Complementing traditional lectures with online case-based studies and interactive group discussions represents, therefore, a simple means to promote the learning and the understanding of complex pathophysiological mechanisms. This simple problem-based approach to teaching and learning may be implemented to cover all fields of medicine.

Transactional Distance in a Blended Learning Environment

ERIC Educational Resources Information Center

Dron, Jon; Seidel, Catharine; Litten, Gabrielle

2004-01-01

This paper presents a case study that describes and discusses the problems encountered during the design and implementation of a blended learning course, largely taught online through a web-based learning environment. Based on Moore's theory of transactional distance, the course was explicitly designed to have dialogue at its heart. However, the…

Practicing Elementary Teachers' Perspectives of "Investigations" Curriculum.

ERIC Educational Resources Information Center

Ogolla, Penina A.

This in-depth case study explored the successes and struggles of elementary teachers as they implemented "Investigations in Number, Data, and Space," a K-5 research-based mathematics curriculum that offered students connected and meaningful mathematical problems and in-depth thinking. Data collection and analysis were based on the Zone…

An Analysis of Didactic and Inquiry-Based Teaching and Learning on Student Achievement in Urban Elementary Schools

ERIC Educational Resources Information Center

Varnado, Jacqueline

2011-01-01

Limited research has been conducted on inquiry based teaching strategies on language arts and mathematics instruction. The research problem at the study site was the lack of research-based findings on the effectiveness of traditional and inquiry based teaching strategies on language arts and mathematics instruction. The purpose of this case study…

Reducing the worst case running times of a family of RNA and CFG problems, using Valiant's approach.

PubMed

Zakov, Shay; Tsur, Dekel; Ziv-Ukelson, Michal

2011-08-18

RNA secondary structure prediction is a mainstream bioinformatic domain, and is key to computational analysis of functional RNA. In more than 30 years, much research has been devoted to defining different variants of RNA structure prediction problems, and to developing techniques for improving prediction quality. Nevertheless, most of the algorithms in this field follow a similar dynamic programming approach as that presented by Nussinov and Jacobson in the late 70's, which typically yields cubic worst case running time algorithms. Recently, some algorithmic approaches were applied to improve the complexity of these algorithms, motivated by new discoveries in the RNA domain and by the need to efficiently analyze the increasing amount of accumulated genome-wide data. We study Valiant's classical algorithm for Context Free Grammar recognition in sub-cubic time, and extract features that are common to problems on which Valiant's approach can be applied. Based on this, we describe several problem templates, and formulate generic algorithms that use Valiant's technique and can be applied to all problems which abide by these templates, including many problems within the world of RNA Secondary Structures and Context Free Grammars. The algorithms presented in this paper improve the theoretical asymptotic worst case running time bounds for a large family of important problems. It is also possible that the suggested techniques could be applied to yield a practical speedup for these problems. For some of the problems (such as computing the RNA partition function and base-pair binding probabilities), the presented techniques are the only ones which are currently known for reducing the asymptotic running time bounds of the standard algorithms.

Reducing the worst case running times of a family of RNA and CFG problems, using Valiant's approach

PubMed Central

2011-01-01

Background RNA secondary structure prediction is a mainstream bioinformatic domain, and is key to computational analysis of functional RNA. In more than 30 years, much research has been devoted to defining different variants of RNA structure prediction problems, and to developing techniques for improving prediction quality. Nevertheless, most of the algorithms in this field follow a similar dynamic programming approach as that presented by Nussinov and Jacobson in the late 70's, which typically yields cubic worst case running time algorithms. Recently, some algorithmic approaches were applied to improve the complexity of these algorithms, motivated by new discoveries in the RNA domain and by the need to efficiently analyze the increasing amount of accumulated genome-wide data. Results We study Valiant's classical algorithm for Context Free Grammar recognition in sub-cubic time, and extract features that are common to problems on which Valiant's approach can be applied. Based on this, we describe several problem templates, and formulate generic algorithms that use Valiant's technique and can be applied to all problems which abide by these templates, including many problems within the world of RNA Secondary Structures and Context Free Grammars. Conclusions The algorithms presented in this paper improve the theoretical asymptotic worst case running time bounds for a large family of important problems. It is also possible that the suggested techniques could be applied to yield a practical speedup for these problems. For some of the problems (such as computing the RNA partition function and base-pair binding probabilities), the presented techniques are the only ones which are currently known for reducing the asymptotic running time bounds of the standard algorithms. PMID:21851589

Statistical mechanics based on fractional classical and quantum mechanics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Korichi, Z.; Meftah, M. T., E-mail: mewalid@yahoo.com

2014-03-15

The purpose of this work is to study some problems in statistical mechanics based on the fractional classical and quantum mechanics. At first stage we have presented the thermodynamical properties of the classical ideal gas and the system of N classical oscillators. In both cases, the Hamiltonian contains fractional exponents of the phase space (position and momentum). At the second stage, in the context of the fractional quantum mechanics, we have calculated the thermodynamical properties for the black body radiation, studied the Bose-Einstein statistics with the related problem of the condensation and the Fermi-Dirac statistics.

Indoor dampness and molds and development of adult-onset asthma: a population-based incident case-control study.

PubMed Central

Jaakkola, Maritta S; Nordman, Henrik; Piipari, Ritva; Uitti, Jukka; Laitinen, Jukka; Karjalainen, Antti; Hahtola, Paula; Jaakkola, Jouni J K

2002-01-01

Previous cross-sectional and prevalent case-control studies have suggested increased risk of asthma in adults related to dampness problems and molds in homes. We conducted a population-based incident case-control study to assess the effects of indoor dampness problems and molds at work and at home on development of asthma in adults. We recruited systematically all new cases of asthma during a 2.5-year study period (1997-2000) and randomly selected controls from a source population consisting of adults 21-63 years old living in the Pirkanmaa Hospital district, South Finland. The clinically diagnosed case series consisted of 521 adults with newly diagnosed asthma and the control series of 932 controls, after we excluded 76 (7.5%) controls with a history of asthma. In logistic regression analysis adjusting for confounders, the risk of asthma was related to the presence of visible mold and/or mold odor in the workplace (odds ratio, 1.54; 95% confidence interval, 1.01-2.32) but not to water damage or damp stains alone. We estimated the fraction of asthma attributable to workplace mold exposure to be 35.1% (95% confidence interval, 1.0-56.9%) among the exposed. Present results provide new evidence of the relation between workplace exposure to indoor molds and adult-onset asthma. PMID:12003761

A Riemann-Hilbert Approach for the Novikov Equation

NASA Astrophysics Data System (ADS)

Boutet de Monvel, Anne; Shepelsky, Dmitry; Zielinski, Lech

2016-09-01

We develop the inverse scattering transform method for the Novikov equation u_t-u_{txx}+4u^2u_x=3u u_xu_{xx}+u^2u_{xxx} considered on the line xin(-∞,∞) in the case of non-zero constant background. The approach is based on the analysis of an associated Riemann-Hilbert (RH) problem, which in this case is a 3× 3 matrix problem. The structure of this RH problem shares many common features with the case of the Degasperis-Procesi (DP) equation having quadratic nonlinear terms (see [Boutet de Monvel A., Shepelsky D., Nonlinearity 26 (2013), 2081-2107, arXiv:1107.5995]) and thus the Novikov equation can be viewed as a ''modified DP equation'', in analogy with the relationship between the Korteweg-de Vries (KdV) equation and the modified Korteweg-de Vries (mKdV) equation. We present parametric formulas giving the solution of the Cauchy problem for the Novikov equation in terms of the solution of the RH problem and discuss the possibilities to use the developed formalism for further studying of the Novikov equation.

Case base classification on digital mammograms: improving the performance of case base classifier

NASA Astrophysics Data System (ADS)

Raman, Valliappan; Then, H. H.; Sumari, Putra; Venkatesa Mohan, N.

2011-10-01

Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. The aim of the research presented here is in twofold. First stage of research involves machine learning techniques, which segments and extracts features from the mass of digital mammograms. Second level is on problem solving approach which includes classification of mass by performance based case base classifier. In this paper we build a case-based Classifier in order to diagnose mammographic images. We explain different methods and behaviors that have been added to the classifier to improve the performance of the classifier. Currently the initial Performance base Classifier with Bagging is proposed in the paper and it's been implemented and it shows an improvement in specificity and sensitivity.

Exploring Young People's Civic Identities through Gamification: A Case Study of Finnish, Swedish and Norwegian Adolescents Playing a Social Simulation Game

ERIC Educational Resources Information Center

Eränpalo, Tommi

2014-01-01

This article is based on a case study where groups of Finnish, Swedish and Norwegian young people played a simulation game that stimulated collective deliberation on social issues. The game has been designed to provoke students to deliberate and to reflect on social problems relating to issues of citizenship and democracy. The analysis of the…

Reliable Facility Location Problem with Facility Protection

PubMed Central

Tang, Luohao; Zhu, Cheng; Lin, Zaili; Shi, Jianmai; Zhang, Weiming

2016-01-01

This paper studies a reliable facility location problem with facility protection that aims to hedge against random facility disruptions by both strategically protecting some facilities and using backup facilities for the demands. An Integer Programming model is proposed for this problem, in which the failure probabilities of facilities are site-specific. A solution approach combining Lagrangian Relaxation and local search is proposed and is demonstrated to be both effective and efficient based on computational experiments on random numerical examples with 49, 88, 150 and 263 nodes in the network. A real case study for a 100-city network in Hunan province, China, is presented, based on which the properties of the model are discussed and some managerial insights are analyzed. PMID:27583542

Psychiatric Comorbidities in Patients with Deliberate Self-Harm in a Tertiary Care Center.

PubMed

Ghimire, Subash; Devkota, Sagar; Budhathoki, Rasmita; Sapkota, Nidesh; Thakur, Akhilesh

2014-01-01

Deliberate self-harm (DSH) is one of the common psychiatric emergencies in medical practice. It has become a global health problem with rates increasing over time. Very few studies have been conducted on this important health issue in Nepal. We conducted a hospital based study to evaluate the cause, mode and psychiatric comorbidities present in patients of DSH. This cross sectional study was performed on 200 cases of deliberate self-harm in a tertiary referral centre in Eastern Nepal from April 2012 to July 2012 by the data collected from the medical records of these patients. Various sociodemographic data and psychiatric comorbidities prevalent in them were studied. Most of the patients (77%) were below the age of 35. The female-to-male ratio was 1.35:1. 76% of the patients had received formal education. Majority (73.5%) were married. By occupation, 38% were housewives and 25.5% were students. 72.5% of cases had consumed organophosphates/-chlorides. Interpersonal conflict (72%) was the major cause for DSH. Psychiatric disorders according to ICD-10 criteria were found in 37% of cases and premorbid personality problems were found in 20% of cases. The most prevalent psychiatric disorder was adjustment disorder (13.5%) followed by mood disorder (11%). Majority of DSH cases were of younger generation. Psychiatric disorders and comorbid personality problems were commonly seen in DSH patients. This has significance for proper evaluation and management.

Some dynamic resource allocation problems in wireless networks

NASA Astrophysics Data System (ADS)

Berry, Randall

2001-07-01

We consider dynamic resource allocation problems that arise in wireless networking. Specifically transmission scheduling problems are studied in cases where a user can dynamically allocate communication resources such as transmission rate and power based on current channel knowledge as well as traffic variations. We assume that arriving data is stored in a transmission buffer, and investigate the trade-off between average transmission power and average buffer delay. A general characterization of this trade-off is given and the behavior of this trade-off in the regime of asymptotically large buffer delays is explored. An extension to a more general utility based quality of service definition is also discussed.

Intelligent design of permanent magnet synchronous motor based on CBR

NASA Astrophysics Data System (ADS)

Li, Cong; Fan, Beibei

2018-05-01

Aiming at many problems in the design process of Permanent magnet synchronous motor (PMSM), such as the complexity of design process, the over reliance on designers' experience and the lack of accumulation and inheritance of design knowledge, a design method of PMSM Based on CBR is proposed in order to solve those problems. In this paper, case-based reasoning (CBR) methods of cases similarity calculation is proposed for reasoning suitable initial scheme. This method could help designers, by referencing previous design cases, to make a conceptual PMSM solution quickly. The case retain process gives the system self-enrich function which will improve the design ability of the system with the continuous use of the system.

Using an Ishikawa diagram as a tool to assist memory and retrieval of relevant medical cases from the medical literature.

PubMed

Wong, Kam Cheong

2011-03-29

Studying medical cases is an effective way to enhance clinical reasoning skills and reinforce clinical knowledge. An Ishikawa diagram, also known as a cause-and-effect diagram or fishbone diagram, is often used in quality management in manufacturing industries.In this report, an Ishikawa diagram is used to demonstrate how to relate potential causes of a major presenting problem in a clinical setting. This tool can be used by teams in problem-based learning or in self-directed learning settings.An Ishikawa diagram annotated with references to relevant medical cases and literature can be continually updated and can assist memory and retrieval of relevant medical cases and literature. It could also be used to cultivate a lifelong learning habit in medical professionals.

A University's Strategic Adoption Process of an PBL-Aligned eLearning Environment: An Exploratory Case Study

ERIC Educational Resources Information Center

Blackburn, Greg

2017-01-01

Much has been written about the promise and peril of technology in education. This paper presents an empirical study that explores how technology can play a pivotal role in student learning and how teaching staff can adopt innovative technology-based approaches in the creation of interactive online problem-based learning (PBL) resources, allowing…

The Role of Project-Based Learning in IT: A Case Study in a Game Development and Entrepreneurship Program

ERIC Educational Resources Information Center

Hogue, Andrew; Kapralos, Bill; Desjardins, Francois

2011-01-01

Purpose: Problem/project-based-learning (PBL) approaches have traditionally been shown to be effective for learning within many professional programs that are directly related to the students' future career. The PBL approach has been adopted for over four decades in such fields as medicine and engineering and studies have demonstrated that…

Student Motivation in Response to Problem-Based Learning

ERIC Educational Resources Information Center

Fukuzawa, Sherry; Boyd, Cleo; Cahn, Joel

2017-01-01

Problem-based learning (PBL) is a self-directed learning strategy where students work collaboratively in small groups to investigate open-ended relatable case scenarios. Students develop transferable skills that can be applied across disciplines, such as collaboration, problem-solving, and critical thinking. Despite extensive research on…

Genetically modified crops and aquatic ecosystems: considerations for environmental risk assessment and non-target organism testing.

PubMed

Carstens, Keri; Anderson, Jennifer; Bachman, Pamela; De Schrijver, Adinda; Dively, Galen; Federici, Brian; Hamer, Mick; Gielkens, Marco; Jensen, Peter; Lamp, William; Rauschen, Stefan; Ridley, Geoff; Romeis, Jörg; Waggoner, Annabel

2012-08-01

Environmental risk assessments (ERA) support regulatory decisions for the commercial cultivation of genetically modified (GM) crops. The ERA for terrestrial agroecosystems is well-developed, whereas guidance for ERA of GM crops in aquatic ecosystems is not as well-defined. The purpose of this document is to demonstrate how comprehensive problem formulation can be used to develop a conceptual model and to identify potential exposure pathways, using Bacillus thuringiensis (Bt) maize as a case study. Within problem formulation, the insecticidal trait, the crop, the receiving environment, and protection goals were characterized, and a conceptual model was developed to identify routes through which aquatic organisms may be exposed to insecticidal proteins in maize tissue. Following a tiered approach for exposure assessment, worst-case exposures were estimated using standardized models, and factors mitigating exposure were described. Based on exposure estimates, shredders were identified as the functional group most likely to be exposed to insecticidal proteins. However, even using worst-case assumptions, the exposure of shredders to Bt maize was low and studies supporting the current risk assessments were deemed adequate. Determining if early tier toxicity studies are necessary to inform the risk assessment for a specific GM crop should be done on a case by case basis, and should be guided by thorough problem formulation and exposure assessment. The processes used to develop the Bt maize case study are intended to serve as a model for performing risk assessments on future traits and crops.

Petroleum: a series of 25 cases.

PubMed

Gnaiger-Rathmanner, J; Schneider, A; Loader, B; Böhler, M; Frass, M; Singer, S R; Oberbaum, M

2008-04-01

This study is based on 25 well documented reports of cases which responded well to treatment with Petroleum. Materia medica data were compared with results in contemporary clinical practice. Many patients had characteristic skin problems; children often had recurrent or chronic upper respiratory tract problems. The most prominent mental feature is a quiet, withdrawn or stubborn disposition. The mental symptoms may be difficult to recognise. Detailed documentation in daily practice can be helpful for preserving data of the effect of a medicine; confirmation of statements given in materia medica; improving understanding of homeopathic medicines and differentiating the indications for medicines.

Local search heuristic for the discrete leader-follower problem with multiple follower objectives

NASA Astrophysics Data System (ADS)

Kochetov, Yury; Alekseeva, Ekaterina; Mezmaz, Mohand

2016-10-01

We study a discrete bilevel problem, called as well as leader-follower problem, with multiple objectives at the lower level. It is assumed that constraints at the upper level can include variables of both levels. For such ill-posed problem we define feasible and optimal solutions for pessimistic case. A central point of this work is a two stage method to get a feasible solution under the pessimistic case, given a leader decision. The target of the first stage is a follower solution that violates the leader constraints. The target of the second stage is a pessimistic feasible solution. Each stage calls a heuristic and a solver for a series of particular mixed integer programs. The method is integrated inside a local search based heuristic that is designed to find near-optimal leader solutions.

Wicked Problems in Large Organizations: Why Pilot Retention Continues to Challenge the Air Force

DTIC Science & Technology

2017-05-25

ABSTRACT This monograph in military studies investigates the makeup of and approach to complex problems, with a case study on the Air Force’s...priorities, as well as a short, recent history of the pilot retention problem. Following that is a case study on the work done by the Air Staff in...Lonsberry, USAF, 38 pages. This monograph in military studies investigates the makeup of and approach to complex problems, with a case study on the

Case study of a problem-based learning course of physics in a telecommunications engineering degree

NASA Astrophysics Data System (ADS)

Macho-Stadler, Erica; Jesús Elejalde-García, Maria

2013-08-01

Active learning methods can be appropriate in engineering, as their methodology promotes meta-cognition, independent learning and problem-solving skills. Problem-based learning is the educational process by which problem-solving activities and instructor's guidance facilitate learning. Its key characteristic involves posing a 'concrete problem' to initiate the learning process, generally implemented by small groups of students. Many universities have developed and used active methodologies successfully in the teaching-learning process. During the past few years, the University of the Basque Country has promoted the use of active methodologies through several teacher training programmes. In this paper, we describe and analyse the results of the educational experience using the problem-based learning (PBL) method in a physics course for undergraduates enrolled in the technical telecommunications engineering degree programme. From an instructors' perspective, PBL strengths include better student attitude in class and increased instructor-student and student-student interactions. The students emphasised developing teamwork and communication skills in a good learning atmosphere as positive aspects.

It Is More about Telling Interesting Stories: Use Explicit Hints in Storytelling to Help College Students Solve Ill-defined Problems

ERIC Educational Resources Information Center

Hseih, Wen-Lan; Smith, Brian K.; Stephanou, Spiro E.

2004-01-01

A team consisting of three faculty members from Agricultural Economics, Agribusiness management, and Food Science with two research assistants at Penn State University has been working for three years on creating a food product case library for a problem-based learning and case-based instruction course. With the assistance of experts from the food…

Mentoring to Promote Courage and Confidence among Elementary School Students with Internalizing Problems: A Single-Case Design Pilot Study

ERIC Educational Resources Information Center

Fiat, Aria E.; Cook, Clayton R.; Zhang, Yanchen; Renshaw, Tyler L.; DeCano, Polocarpio; Merrick, Jillian S.

2017-01-01

There is a paucity of selective, Tier 2 interventions that educators can implement for students with internalizing problems as part of their schools' Multi-Tiered Systems of Supports. To fill this void, the authors' purpose was to evaluate the efficacy, acceptability, and integrity of a structured school-based mentoring program, the Courage and…

The Embodiment of Cases as Alternative Perspective in a Mathematics Hypermedia Learning Environment

ERIC Educational Resources Information Center

Valentine, Keri D.; Kopcha, Theodore J.

2016-01-01

This paper presents a design framework for cases as alternative perspectives (Jonassen in Learning to solve problems: a handbook for designing problem-solving learning environments, 2011a) in the context of K-12 mathematics. Using the design-based research strategy of conjecture mapping, the design of cases for a hypermedia site is described…

Behavioral Problems and Childhood Epilepsy: Parent vs Child Perspectives.

PubMed

Eom, Soyong; Caplan, Rochelle; Berg, Anne T

2016-12-01

To test whether the reported association between pediatric epilepsy and behavioral problems may be distorted by the use of parental proxy report instruments. Children in the Connecticut Study of Epilepsy were assessed 8-9 years after their epilepsy diagnosis (time-1) with the parent-proxy Child Behavior Check List (CBCL) (ages 6-18 years) or the Young Adult Self-Report (≥18 years of age). For children <18 years of age, parents also completed the Child Health Questionnaire, which contains scales for impact of child's illness on the parents. The same study subjects completed the Adult Self-Report 6-8 years later (time-2). Sibling controls were also tested. Case-control differences were examined for evidence suggesting more behavioral problems in cases with epilepsy than in controls based on proxy- vs self-report measures. At time-1, parent-proxy CBCL scores were significantly higher (worse) for cases than controls (n = 140 matched pairs). After adjustment for Child Health Questionnaire scales reflecting parent emotional and time impact, only 1 case-control difference on the CBCL remained significant. Self-reported Young Adult Self-Report scores did not differ between cases and controls (n = 42 pairs). At time-2, there were no significant self-reported case-control differences on the Adult Self-Report (n = 105 pairs). Parent-proxy behavior measures appear to be influenced by the emotional impact of epilepsy on parents. This may contribute to apparent associations between behavioral problems and childhood epilepsy. Self-report measures in older adolescents (>18 years of age) and young adults do not confirm parental perceptions. Evidence suggesting more behavioral problems in children with epilepsy should be interpreted in light of the source of information. Copyright © 2016 Elsevier Inc. All rights reserved.

A case-based, problem-based learning approach to prepare master of public health candidates for the complexities of global health.

PubMed

Leon, Juan S; Winskell, Kate; McFarland, Deborah A; del Rio, Carlos

2015-03-01

Global health is a dynamic, emerging, and interdisciplinary field. To address current and emerging global health challenges, we need a public health workforce with adaptable and collaborative problem-solving skills. In the 2013-2014 academic year, the Hubert Department of Global Health at the Rollins School of Public Health-Emory University launched an innovative required core course for its first-year Master of Public Health students in the global health track. The course uses a case-based, problem-based learning approach to develop global health competencies. Small teams of students propose solutions to these problems by identifying learning issues and critically analyzing and synthesizing new information. We describe the course structure and logistics used to apply this approach in the context of a large class and share lessons learned.

A hybrid clustering approach for multivariate time series - A case study applied to failure analysis in a gas turbine.

PubMed

Fontes, Cristiano Hora; Budman, Hector

2017-11-01

A clustering problem involving multivariate time series (MTS) requires the selection of similarity metrics. This paper shows the limitations of the PCA similarity factor (SPCA) as a single metric in nonlinear problems where there are differences in magnitude of the same process variables due to expected changes in operation conditions. A novel method for clustering MTS based on a combination between SPCA and the average-based Euclidean distance (AED) within a fuzzy clustering approach is proposed. Case studies involving either simulated or real industrial data collected from a large scale gas turbine are used to illustrate that the hybrid approach enhances the ability to recognize normal and fault operating patterns. This paper also proposes an oversampling procedure to create synthetic multivariate time series that can be useful in commonly occurring situations involving unbalanced data sets. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

Problem- and case-based learning in science: an introduction to distinctions, values, and outcomes.

PubMed

Allchin, Douglas

2013-01-01

Case-based learning and problem-based learning have demonstrated great promise in reforming science education. Yet an instructor, in newly considering this suite of interrelated pedagogical strategies, faces a number of important instructional choices. Different features and their related values and learning outcomes are profiled here, including: the level of student autonomy; instructional focus on content, skills development, or nature-of-science understanding; the role of history, or known outcomes; scope, clarity, and authenticity of problems provided to students; extent of collaboration; complexity, in terms of number of interpretive perspectives; and, perhaps most importantly, the role of applying versus generating knowledge.

Problem- and Case-Based Learning in Science: An Introduction to Distinctions, Values, and Outcomes

PubMed Central

Allchin, Douglas

2013-01-01

Case-based learning and problem-based learning have demonstrated great promise in reforming science education. Yet an instructor, in newly considering this suite of interrelated pedagogical strategies, faces a number of important instructional choices. Different features and their related values and learning outcomes are profiled here, including: the level of student autonomy; instructional focus on content, skills development, or nature-of-science understanding; the role of history, or known outcomes; scope, clarity, and authenticity of problems provided to students; extent of collaboration; complexity, in terms of number of interpretive perspectives; and, perhaps most importantly, the role of applying versus generating knowledge. PMID:24006385

Numerical analysis of singular solutions of two-dimensional problems of asymmetric elasticity

NASA Astrophysics Data System (ADS)

Korepanov, V. V.; Matveenko, V. P.; Fedorov, A. Yu.; Shardakov, I. N.

2013-07-01

An algorithm for the numerical analysis of singular solutions of two-dimensional problems of asymmetric elasticity is considered. The algorithm is based on separation of a power-law dependence from the finite-element solution in a neighborhood of singular points in the domain under study, where singular solutions are possible. The obtained power-law dependencies allow one to conclude whether the stresses have singularities and what the character of these singularities is. The algorithm was tested for problems of classical elasticity by comparing the stress singularity exponents obtained by the proposed method and from known analytic solutions. Problems with various cases of singular points, namely, body surface points at which either the smoothness of the surface is violated, or the type of boundary conditions is changed, or distinct materials are in contact, are considered as applications. The stress singularity exponents obtained by using the models of classical and asymmetric elasticity are compared. It is shown that, in the case of cracks, the stress singularity exponents are the same for the elasticity models under study, but for other cases of singular points, the stress singularity exponents obtained on the basis of asymmetric elasticity have insignificant quantitative distinctions from the solutions of the classical elasticity.

Signal Analysis of Automotive Engine Spark Ignition System using Case-Based Reasoning (CBR) and Case-based Maintenance (CBM)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, H.; Vong, C. M.; Wong, P. K.

2010-05-21

With the development of modern technology, modern vehicles adopt electronic control system for injection and ignition. In traditional way, whenever there is any malfunctioning in an automotive engine, an automotive mechanic usually performs a diagnosis in the ignition system of the engine to check any exceptional symptoms. In this paper, we present a case-based reasoning (CBR) approach to help solve human diagnosis problem. Nevertheless, one drawback of CBR system is that the case library will be expanded gradually after repeatedly running the system, which may cause inaccuracy and longer time for the CBR retrieval. To tackle this problem, case-based maintenancemore » (CBM) framework is employed so that the case library of the CBR system will be compressed by clustering to produce a set of representative cases. As a result, the performance (in retrieval accuracy and time) of the whole CBR system can be improved.« less

Constructing (un-)certainty: An exploration of journalistic decision-making in the reporting of neuroscience.

PubMed

Lehmkuhl, Markus; Peters, Hans Peter

2016-11-01

Based on 21 individual case studies, this article inventories the ways journalism deals with scientific uncertainty. The study identifies the decisions that impact a journalist's perception of a truth claim as unambiguous or ambiguous and the strategies to deal with uncertainty that arise from this perception. Key for understanding journalistic action is the outcome of three evaluations: What is the story about? How shall the story be told? What type of story is it? We reconstructed the strategies to overcome journalistic decision-making uncertainty in those cases in which they perceived scientific contingency as a problem. Journalism deals with uncertainty by way of omission, by contrasting the conflicting messages or by acknowledging the problem via the structure or language. One finding deserves particular mention: The lack of focus on scientific uncertainty is not only a problem of how journalists perceive and communicate but also a problem of how science communicates. © The Author(s) 2016.

An intelligent case-adjustment algorithm for the automated design of population-based quality auditing protocols.

PubMed

Advani, Aneel; Jones, Neil; Shahar, Yuval; Goldstein, Mary K; Musen, Mark A

2004-01-01

We develop a method and algorithm for deciding the optimal approach to creating quality-auditing protocols for guideline-based clinical performance measures. An important element of the audit protocol design problem is deciding which guide-line elements to audit. Specifically, the problem is how and when to aggregate individual patient case-specific guideline elements into population-based quality measures. The key statistical issue involved is the trade-off between increased reliability with more general population-based quality measures versus increased validity from individually case-adjusted but more restricted measures done at a greater audit cost. Our intelligent algorithm for auditing protocol design is based on hierarchically modeling incrementally case-adjusted quality constraints. We select quality constraints to measure using an optimization criterion based on statistical generalizability coefficients. We present results of the approach from a deployed decision support system for a hypertension guideline.

The application of hybrid artificial intelligence systems for forecasting

NASA Astrophysics Data System (ADS)

Lees, Brian; Corchado, Juan

1999-03-01

The results to date are presented from an ongoing investigation, in which the aim is to combine the strengths of different artificial intelligence methods into a single problem solving system. The premise underlying this research is that a system which embodies several cooperating problem solving methods will be capable of achieving better performance than if only a single method were employed. The work has so far concentrated on the combination of case-based reasoning and artificial neural networks. The relative merits of artificial neural networks and case-based reasoning problem solving paradigms, and their combination are discussed. The integration of these two AI problem solving methods in a hybrid systems architecture, such that the neural network provides support for learning from past experience in the case-based reasoning cycle, is then presented. The approach has been applied to the task of forecasting the variation of physical parameters of the ocean. Results obtained so far from tests carried out in the dynamic oceanic environment are presented.

Mindfulness-Based Cognitive Therapy Applied to Binge Eating: A Case Study

ERIC Educational Resources Information Center

Baer, Ruth A.; Fischer, Sarah; Huss, Debra B.

2005-01-01

Binge eating is a common problem associated with distress and dysfunction. Mindfulness-based interventions are attracting increasing attention, and the recent empirical literature suggests that they may be effective for a variety of disorders. Current theories about the etiology and maintenance of binge eating suggest that mindfulness training may…

A Case of Problem Based Learning for Cross-Institutional Collaboration

ERIC Educational Resources Information Center

Nerantzi, Chrissi

2012-01-01

The idea of moving away from battery-type Academic Development Activities and silo modules and programmes towards open cross-institutional approaches in line with OEP are explored within this paper based on a recent small-scale, fully-online study. This brought together academics and other professionals who support learning, from different…

Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory

NASA Astrophysics Data System (ADS)

Scutari, Gesualdo; Facchinei, Francisco; Lampariello, Lorenzo

2017-04-01

In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex (smooth) objective function, subject to nonconvex constraints, based on inner convex approximations. This Part II is devoted to the application of the framework to some resource allocation problems in communication networks. In particular, we consider two non-trivial case-study applications, namely: (generalizations of) i) the rate profile maximization in MIMO interference broadcast networks; and the ii) the max-min fair multicast multigroup beamforming problem in a multi-cell environment. We develop a new class of algorithms enjoying the following distinctive features: i) they are \\emph{distributed} across the base stations (with limited signaling) and lead to subproblems whose solutions are computable in closed form; and ii) differently from current relaxation-based schemes (e.g., semidefinite relaxation), they are proved to always converge to d-stationary solutions of the aforementioned class of nonconvex problems. Numerical results show that the proposed (distributed) schemes achieve larger worst-case rates (resp. signal-to-noise interference ratios) than state-of-the-art centralized ones while having comparable computational complexity.

Case Study of a Project-Based Learning Course in Civil Engineering Design

ERIC Educational Resources Information Center

Gavin, K.

2011-01-01

This paper describes the use of project-based learning to teach design skills to civil engineering students at University College Dublin (UCD). The paper first considers the development of problem-based leaning (PBL) as a tool in higher education. The general issues to be considered in the design of the curriculum for a PBL module are reviewed.…

Validation of key indicators in cattle farms at high risk of animal welfare problems: a qualitative case-control study.

PubMed

Kelly, P C; More, S J; Blake, M; Higgins, I; Clegg, T; Hanlon, A

2013-03-23

The objective of this study was to validate four key farmer performance indicators (KFPI), identified in a previous study, as indicators of on-farm cattle welfare incidents in Ireland, through comparison of the distribution of these KPFIs in the national herd (n=109,925) and in case herds (n=18), where welfare incidents were previously studied. The KFPIs identified were late registrations, and exits from the herd by on-farm burial, by moves to knackeries and by moves to 'herd unknown'. Data were extracted from two Department of Agriculture, Food and the Marine databases for the national herd and the case herds. All four KFPIs differed significantly between the case herds and the national herd, and one further KFPI was identified, namely moves to factories. The data for these KFPIs are routinely stored on national databases, which were established in order to comply with Regulation (EC) 1760/2000. Based on the results obtained in this study, it may be possible in the future to use routine data capture to improve strategy towards on-farm animal welfare. At this point, however, based on calculated specificities and sensitivities, none of these five KFPIs, at the cut-offs investigated and using several combinations, are able to distinguish herds with and without on-farm animal welfare problems at an accuracy suitable for routine national use in Ireland.

Understanding Teacher Perceptions in a Professional Development Program for a Middle Grade Science

NASA Astrophysics Data System (ADS)

Deloney, Dericka B.

The standards-based framework requires teachers to evaluate and in some cases change their instructional approach to more student-centered and inquiry-based in an effort to help students meet the standards. The rationale for this study was to determine the skills needed for teachers to be effective in a standard-based, problem-based learning (PBL) constructivist classroom. Traditionally, teachers in this school district transitioning from teacher to student-centered classrooms need new skills when implementing this type of instruction. A qualitative case study design served to highlight the research questions for this project study. The participants in this study participated in data collection activities that include a multiple-choice survey, an interview, and the sharing of their PBL units. Artifacts, professional development teaching resources, from the workshop added credence to the survey and interview responses. The findings from each research question addressed the teachers' perception of their understanding and the obstacles of instructional design, development, and implementation the participants encountered. The results of this study indicated that teachers had problems with designing and implementing this instructional strategy due to lack of time and resources. This data assisted the development of district specific PBL sustainable professional development program that could be adaptable to other curriculums and school systems. Social change resulting from this study could include a framework for developing K-12 professional development as well as instructional programs that incorporates PBL curriculum design to enhance the student's inquiry, problem-solving, and decision-making skills that in turn should change their academic achievement and scores on high stakes test in science.

Studying the Positive Influence of the Use of Video in Teaching & Learning Environments, Focusing on Registration of the Directions Where It Improves the PBL Effectiveness: A Systematic Literature Review

ERIC Educational Resources Information Center

Aronis, Alexis

2016-01-01

Previous studies report the involvement of the use of video in the frameworks of problem-based learning (PBL), case-based learning, and project-based learning. This systematic literature review, through two research questions, explores the positive influence of the use of video in those instructional methods, and, while focusing on PBL, identifies…

Case based learning: a method for better understanding of biochemistry in medical students.

PubMed

Nair, Sandhya Pillai; Shah, Trushna; Seth, Shruti; Pandit, Niraj; Shah, G V

2013-08-01

Health professionals need to develop analytic and diagnostic thinking skills and not just a mere accumulation of large amount of facts. Hence, Case Based Learning (CBL) has been used in the medical curriculum for this reason, so that the students are exposed to the real medical problems, which helps them in develop analysing abilities. This also helps them in interpreting and solving the problems and in the course of doing this, they develop interest. In addition to didactic lectures, CBL was used as a learning method. This study was conducted in the Department of Biochemistry, S.B.K.S.M.I and R.C, Sumandeep Vidyapeeth ,Piparia, Gujarat, India. A group of 100 students were selected and they were divided into two groups as the control group and the study group. A total of 50 students were introduced to case based learning, which formed the study group and 50 students who attended didactic lectures formed the control group. A very significant improvement (p<0.0001) was observed among the students after the CBL sessions and they were also motivated by these sessions. A 4 point Likert scale questionnaire which contained 8 questions was administered to the students, to know their perception on the usefulness of the CBL. 98% of the students reported that they found the CBL sessions to be an interesting method of gaining knowledge. 84% of them felt that they exposed them to an experience of logical application of the knowledge which was gained in cracking cases, which would be of great help in the future also. Case Based Learning (CBL) was used and it is effective in the medical curriculum for a better understanding of Biochemistry among the medical students.

Physical angular momentum separation for QED

NASA Astrophysics Data System (ADS)

Sun, Weimin

2017-04-01

We study the non-uniqueness problem of the gauge-invariant angular momentum separation for the case of QED, which stems from the recent controversy concerning the proper definitions of the orbital angular momentum and spin operator of the individual parts of a gauge field system. For the free quantum electrodynamics without matter, we show that the basic requirement of Euclidean symmetry selects a unique physical angular momentum separation scheme from the multitude of the possible angular momentum separation schemes constructed using the various gauge-invariant extensions (GIEs). Based on these results, we propose a set of natural angular momentum separation schemes for the case of interacting QED by invoking the formalism of asymptotic fields. Some perspectives on such a problem for the case of QCD are briefly discussed.

Multicast backup reprovisioning problem for Hamiltonian cycle-based protection on WDM networks

NASA Astrophysics Data System (ADS)

Din, Der-Rong; Huang, Jen-Shen

2014-03-01

As networks grow in size and complexity, the chance and the impact of failures increase dramatically. The pre-allocated backup resources cannot provide 100% protection guarantee when continuous failures occur in a network. In this paper, the multicast backup re-provisioning problem (MBRP) for Hamiltonian cycle (HC)-based protection on WDM networks for the link-failure case is studied. We focus on how to recover the protecting capabilities of Hamiltonian cycle against the subsequent link-failures on WDM networks for multicast transmissions, after recovering the multicast trees affected by the previous link-failure. Since this problem is a hard problem, an algorithm, which consists of several heuristics and a genetic algorithm (GA), is proposed to solve it. The simulation results of the proposed method are also given. Experimental results indicate that the proposed algorithm can solve this problem efficiently.

An interior-point method-based solver for simulation of aircraft parts riveting

NASA Astrophysics Data System (ADS)

Stefanova, Maria; Yakunin, Sergey; Petukhova, Margarita; Lupuleac, Sergey; Kokkolaras, Michael

2018-05-01

The particularities of the aircraft parts riveting process simulation necessitate the solution of a large amount of contact problems. A primal-dual interior-point method-based solver is proposed for solving such problems efficiently. The proposed method features a worst case polynomial complexity bound ? on the number of iterations, where n is the dimension of the problem and ε is a threshold related to desired accuracy. In practice, the convergence is often faster than this worst case bound, which makes the method applicable to large-scale problems. The computational challenge is solving the system of linear equations because the associated matrix is ill conditioned. To that end, the authors introduce a preconditioner and a strategy for determining effective initial guesses based on the physics of the problem. Numerical results are compared with ones obtained using the Goldfarb-Idnani algorithm. The results demonstrate the efficiency of the proposed method.

Teaching for Engagement: Part 2: Technology in the Service of Active Learning

ERIC Educational Resources Information Center

Hunter, William J.

2015-01-01

In the first piece in this series ("Teaching for Engagement: Part 1: Constructivist Principles, Case-Based Teaching, and Active Learning"), William Hunter sought to make the case that a wide range of teaching methods (e.g., case-based teaching, problem-based learning, anchored instruction) that share an intellectual grounding in…

Difficulties to differentiate mood disorders co-occurring with compulsive gambling. Discussion based on a case study.

PubMed

Pilszyk, Anna; Silczuk, Andrzej; Habrat, Bogusław; Heitzman, Janusz

2018-02-28

Contemporary literature does not take a clear position on the issue of determining civil and criminal liability of persons diagnosed with pathological gambling, and all the more so in case of possible comorbidity of or interference with other mental disorders. Diagnostic difficulties are demonstrated by a clinical picture of a patient with problem gambling who underwent forensic and psychiatric assessments to evaluate the process of making informed (and independent) decisions in view of numerous concluded civil law (mainly financial) agreements. The patient had been examined 5 times by expert psychiatrists who, in 4 opinions, diagnosed her with bipolar affective disorder, including 1 diagnosis of rapid cycling of episodes. Based on the current state of scientific knowledge about the relationship between problem gambling and mood disorders, bipolar affective disorder was not confirmed. Diagnostic difficulties, resulting both from diagnostic haziness and unreliable information obtained during patient interview, that emerged in the course of case study point to the need for multi-dimensional clinical diagnosis of persons with suspected mood disorders and behavioral addictions.

The Forgotten Learning Disability – Epidemiology of Written Language Disorder in a Population-Based Birth Cohort (1976-1982), Rochester, Minnesota

PubMed Central

Katusic, Slavica K.; Colligan, Robert C.; Weaver, Amy L.; Barbaresi, William J.

2009-01-01

OBJECTIVE The aim of this study was to report the incidence rates and other epidemiologic characterizations of Written Language Disorder (WLD). There have been no epidemiologic studies on the incidence of WLD in the United States and the use of a population-based birth cohort, longitudinally followed, is the most powerful method to reach this objective. METHODS In this population-based, retrospective birth cohort study, subjects included 5718 children born 1976-1982 in Rochester, Minnesota who remained in the community after age 5 years. Records from all public and nonpublic schools, medical facilities, and private tutorial services were reviewed and results of all individually administered IQ and achievement tests, and extensive medical, educational, and socioeconomic information were collected. The essential features of writing problems from the DSM-IV-TR were included in our operationalized definition of WLD. WLD incident cases were established using research criteria based on 3 formulas (regression-based discrepancy, non-regression-based discrepancy, low achievement). RESULTS Cumulative incidence rates of WLD varied from 6.9% to 14.7% depending on the formula. Boys were 2-3 times more likely to be affected than girls, regardless of the formula. Among all WLD cases (N=806), 25% (N=203) had WLD without Reading Disability (RD). Specifics of the writing problems were identified for 87% (N=702) of WLD cases. CONCLUSION In this population-based birth cohort of school aged children, WLD was at least as frequent as RD, and significantly more frequent among boys than girls. PMID:19403496

Northeast Artificial Intelligence Consortium (NAIC). Volume 15. Strategies for Coupling Symbolic and Numerical Computation in Knowledge Base Systems

DTIC Science & Technology

1990-12-01

Implementation of Coupled System 18 15.4. CASE STUDIES & IMPLEMENTATION EXAMPLES 24 15.4.1. The Case Studies of Coupled System 24 15.4.2. Example: Coupled System...occurs during specific phases of the problem-solving process. By decomposing the coupling process into its component layers we effectively study the nature...by the qualitative model, appropriate mathematical model is invoked. 5) The results are verified. If successful, stop. Else go to (2) and use an

Simulated annealing algorithm for solving chambering student-case assignment problem

NASA Astrophysics Data System (ADS)

Ghazali, Saadiah; Abdul-Rahman, Syariza

2015-12-01

The problem related to project assignment problem is one of popular practical problem that appear nowadays. The challenge of solving the problem raise whenever the complexity related to preferences, the existence of real-world constraints and problem size increased. This study focuses on solving a chambering student-case assignment problem by using a simulated annealing algorithm where this problem is classified under project assignment problem. The project assignment problem is considered as hard combinatorial optimization problem and solving it using a metaheuristic approach is an advantage because it could return a good solution in a reasonable time. The problem of assigning chambering students to cases has never been addressed in the literature before. For the proposed problem, it is essential for law graduates to peruse in chambers before they are qualified to become legal counselor. Thus, assigning the chambering students to cases is a critically needed especially when involving many preferences. Hence, this study presents a preliminary study of the proposed project assignment problem. The objective of the study is to minimize the total completion time for all students in solving the given cases. This study employed a minimum cost greedy heuristic in order to construct a feasible initial solution. The search then is preceded with a simulated annealing algorithm for further improvement of solution quality. The analysis of the obtained result has shown that the proposed simulated annealing algorithm has greatly improved the solution constructed by the minimum cost greedy heuristic. Hence, this research has demonstrated the advantages of solving project assignment problem by using metaheuristic techniques.

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tian, Zhen, E-mail: Zhen.Tian@UTSouthwestern.edu, E-mail: Xun.Jia@UTSouthwestern.edu, E-mail: Steve.Jiang@UTSouthwestern.edu; Folkerts, Michael; Tan, Jun

Purpose: Volumetric modulated arc therapy (VMAT) optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing units (GPUs) have been used to speed up the computations. However, GPU’s relatively small memory size cannot handle cases with a large dose-deposition coefficient (DDC) matrix in cases of, e.g., those with a large target size, multiple targets, multiple arcs, and/or small beamlet size. The main purpose of this paper is to report an implementation of a column-generation-based VMAT algorithm, previously developed in the authors’ group, on a multi-GPU platform tomore » solve the memory limitation problem. While the column-generation-based VMAT algorithm has been previously developed, the GPU implementation details have not been reported. Hence, another purpose is to present detailed techniques employed for GPU implementation. The authors also would like to utilize this particular problem as an example problem to study the feasibility of using a multi-GPU platform to solve large-scale problems in medical physics. Methods: The column-generation approach generates VMAT apertures sequentially by solving a pricing problem (PP) and a master problem (MP) iteratively. In the authors’ method, the sparse DDC matrix is first stored on a CPU in coordinate list format (COO). On the GPU side, this matrix is split into four submatrices according to beam angles, which are stored on four GPUs in compressed sparse row format. Computation of beamlet price, the first step in PP, is accomplished using multi-GPUs. A fast inter-GPU data transfer scheme is accomplished using peer-to-peer access. The remaining steps of PP and MP problems are implemented on CPU or a single GPU due to their modest problem scale and computational loads. Barzilai and Borwein algorithm with a subspace step scheme is adopted here to solve the MP problem. A head and neck (H and N) cancer case is then used to validate the authors’ method. The authors also compare their multi-GPU implementation with three different single GPU implementation strategies, i.e., truncating DDC matrix (S1), repeatedly transferring DDC matrix between CPU and GPU (S2), and porting computations involving DDC matrix to CPU (S3), in terms of both plan quality and computational efficiency. Two more H and N patient cases and three prostate cases are used to demonstrate the advantages of the authors’ method. Results: The authors’ multi-GPU implementation can finish the optimization process within ∼1 min for the H and N patient case. S1 leads to an inferior plan quality although its total time was 10 s shorter than the multi-GPU implementation due to the reduced matrix size. S2 and S3 yield the same plan quality as the multi-GPU implementation but take ∼4 and ∼6 min, respectively. High computational efficiency was consistently achieved for the other five patient cases tested, with VMAT plans of clinically acceptable quality obtained within 23–46 s. Conversely, to obtain clinically comparable or acceptable plans for all six of these VMAT cases that the authors have tested in this paper, the optimization time needed in a commercial TPS system on CPU was found to be in an order of several minutes. Conclusions: The results demonstrate that the multi-GPU implementation of the authors’ column-generation-based VMAT optimization can handle the large-scale VMAT optimization problem efficiently without sacrificing plan quality. The authors’ study may serve as an example to shed some light on other large-scale medical physics problems that require multi-GPU techniques.« less

Applying the Kanban method in problem-based project work: a case study in a manufacturing engineering bachelor's programme at Aalborg University Copenhagen

NASA Astrophysics Data System (ADS)

Balve, Patrick; Krüger, Volker; Tolstrup Sørensen, Lene

2017-11-01

Problem-based learning (PBL) has proven to be highly effective for educating students in an active and self-motivated manner in various disciplines. Student projects carried out following PBL principles are very dynamic and carry a high level of uncertainty, both conditions under which agile project management approaches are assumed to be highly supportive. The paper describes an empirical case study carried out at Aalborg University Copenhagen involving students from two different semesters of a Bachelor of Science programme. While executing the study, compelling examples of how PBL and the agile project management method Kanban blend could be identified. A final survey reveals that applying Kanban produces noticeable improvements with respect to creating, assigning and coordinating project tasks. Other improvements were found in group communication, knowledge about the work progress with regards to both the individual and the collective and the students' way of continuously improving their own teamwork.

A Comparison of Filter-based Approaches for Model-based Prognostics

NASA Technical Reports Server (NTRS)

Daigle, Matthew John; Saha, Bhaskar; Goebel, Kai

2012-01-01

Model-based prognostics approaches use domain knowledge about a system and its failure modes through the use of physics-based models. Model-based prognosis is generally divided into two sequential problems: a joint state-parameter estimation problem, in which, using the model, the health of a system or component is determined based on the observations; and a prediction problem, in which, using the model, the stateparameter distribution is simulated forward in time to compute end of life and remaining useful life. The first problem is typically solved through the use of a state observer, or filter. The choice of filter depends on the assumptions that may be made about the system, and on the desired algorithm performance. In this paper, we review three separate filters for the solution to the first problem: the Daum filter, an exact nonlinear filter; the unscented Kalman filter, which approximates nonlinearities through the use of a deterministic sampling method known as the unscented transform; and the particle filter, which approximates the state distribution using a finite set of discrete, weighted samples, called particles. Using a centrifugal pump as a case study, we conduct a number of simulation-based experiments investigating the performance of the different algorithms as applied to prognostics.

Pattern of skin diseases in patients visiting a tertiary care health facility at Hyderabad, Pakistan.

PubMed

Memon, Khalida Naz; Soomro, Rafique Ahmed; Ansari, Mohammad Shahid

2011-01-01

The morbidity associated with skin diseases makes them an important public health problem. Very scanty literature is found on the problem which is either disease-based, community based or a specified population group-based. Objective of this study was to assess the pattern of skin diseases in patients and to determine their relation with demographic characteristics. This descriptive study was conducted at Dermatology Out-patient Department of Liaquat University Hospital, Jamshoro, Pakistan for the period from 10th January to 10th February 2008. Four hundred and eleven patients were enrolled during the study period. The study population comprised of newly diagnosed cases as well as relapsing cases presenting at the facility. The criterion for registering the patients was clinical diagnosis although few cases were supported by investigations, too. The data was collected through a pre-designed questionnaire and analysed through SPSS-12. Skin problems are fairly common among children and women. In children of less than 10 years age, 82.5% visiting the facility suffer from infectious skin diseases. Among the infectious diseases, scabies is highly prevalent disease (45.5%). The majority of the patients belong to rural or slum areas (77.2%), low socio-economic strata (68.9%), and living in overcrowded families (82%). A strong association between skin infections and water inadequacy (p = 0.016) was found, and scabies shows a strong statistical association with overcrowding (p = 0.025). The skin diseases involve every age strata of our population but it is fairly common in younger age group, women, and people who do not practice hygiene. Out-reach services for the rural and slum communities and health education will give good results on prevention of skin diseases.

A Case-Based, Problem-Based Learning Approach to Prepare Master of Public Health Candidates for the Complexities of Global Health

PubMed Central

Winskell, Kate; McFarland, Deborah A.; del Rio, Carlos

2015-01-01

Global health is a dynamic, emerging, and interdisciplinary field. To address current and emerging global health challenges, we need a public health workforce with adaptable and collaborative problem-solving skills. In the 2013–2014 academic year, the Hubert Department of Global Health at the Rollins School of Public Health–Emory University launched an innovative required core course for its first-year Master of Public Health students in the global health track. The course uses a case-based, problem-based learning approach to develop global health competencies. Small teams of students propose solutions to these problems by identifying learning issues and critically analyzing and synthesizing new information. We describe the course structure and logistics used to apply this approach in the context of a large class and share lessons learned. PMID:25706029

Bi-material plane with interface crack for the model of semi-linear material

NASA Astrophysics Data System (ADS)

Domanskaya, T. O.; Malkov, V. M.; Malkova, Yu. V.

2018-05-01

The singular plane problems of nonlinear elasticity (plane strain and plane stress) are considered for bi-material infinite plane with interface crack. The plane is formed of two half-planes. Mechanical properties of half-planes are described by the model of semi-linear material. Using model of this harmonic material has allowed to apply the theory of complex functions and to obtain exact analytical global solutions of some nonlinear problems. Among them the problem of bi-material plane with the stresses and strains jumps at an interface is considered. As an application of the problem of jumps, the problem of interface crack is solved. The values of nominal (Piola) and Cauchy stresses and displacements are founded. Based on the global solutions the asymptotic expansions are constructed for stresses and displacements in a vicinity of crack tip. As an example the case of a free crack in bi-material plane subjected to constant stresses at infinity is studied. As a special case, the analytical solution of the problem of a crack in a homogeneous plane is obtained from the problem for bi-material plane with interface crack.

The Rivalry between Simulation and Problem-Based Learning: A Study of Learning Transfer in Physician Assistant Students

ERIC Educational Resources Information Center

Meyer, Kimberly E.

2010-01-01

The purpose of this dissertation was to evaluate learning transfer achieved by physician assistant students comparing two instructional methods, human patient simulation and electronic clinical case studies. This prospective, randomized, mixed-methods study utilized first and second-year physician assistant student volunteers taking a pretest and…

Problems of Adolescents and Youths: Symposium IV C.

ERIC Educational Resources Information Center

Nagaraja, Jaya; Suppiah, Chandraseagran

This symposium contains reports on: (1) a study of drug abuse among adolescents in India, by Jaya Nagaraja; and (2) a case study of factors contributing to drug addiction among Malaysian youth, by Chandraseagran Suppiah. Based on a sample of 1,000 adolescents attending metropolitan city colleges, findings of the Indian study concern psychological…

Chinese Business Students' Changes in Beliefs and Strategy Use in a Constructively Aligned PBL Course

ERIC Educational Resources Information Center

Zhao, Ke; Zhang, Jie; Du, Xiangyun

2017-01-01

This study adopted a longitudinal retrospective case study approach to investigate Chinese business students' transitional learning experience in a problem-based learning (PBL) course with innovative assessment practices. The study focused on students' beliefs and strategy use in a constructively aligned PBL course for business communication.…

"I Know This Is Supposed to Be More Like the Real World, but . . .": Student Perceptions of a PBL Implementation in an Undergraduate Materials Science Course

ERIC Educational Resources Information Center

Henry, Holly R.; Tawfik, Andrew A.; Jonassen, David H.; Winholtz, Robert A.; Khanna, Sanjeev

2012-01-01

This qualitative case study examines the initial implementation of a problem-based version of an undergraduate course in materials science for the purpose of identifying areas of improvement to the curriculum prior to a planned second implementation. The course was designed around problems that students work in small teams to solve under the…

Comprehensive Fault Tolerance and Science-Optimal Attitude Planning for Spacecraft Applications

NASA Astrophysics Data System (ADS)

Nasir, Ali

Spacecraft operate in a harsh environment, are costly to launch, and experience unavoidable communication delay and bandwidth constraints. These factors motivate the need for effective onboard mission and fault management. This dissertation presents an integrated framework to optimize science goal achievement while identifying and managing encountered faults. Goal-related tasks are defined by pointing the spacecraft instrumentation toward distant targets of scientific interest. The relative value of science data collection is traded with risk of failures to determine an optimal policy for mission execution. Our major innovation in fault detection and reconfiguration is to incorporate fault information obtained from two types of spacecraft models: one based on the dynamics of the spacecraft and the second based on the internal composition of the spacecraft. For fault reconfiguration, we consider possible changes in both dynamics-based control law configuration and the composition-based switching configuration. We formulate our problem as a stochastic sequential decision problem or Markov Decision Process (MDP). To avoid the computational complexity involved in a fully-integrated MDP, we decompose our problem into multiple MDPs. These MDPs include planning MDPs for different fault scenarios, a fault detection MDP based on a logic-based model of spacecraft component and system functionality, an MDP for resolving conflicts between fault information from the logic-based model and the dynamics-based spacecraft models" and the reconfiguration MDP that generates a policy optimized over the relative importance of the mission objectives versus spacecraft safety. Approximate Dynamic Programming (ADP) methods for the decomposition of the planning and fault detection MDPs are applied. To show the performance of the MDP-based frameworks and ADP methods, a suite of spacecraft attitude planning case studies are described. These case studies are used to analyze the content and behavior of computed policies in response to the changes in design parameters. A primary case study is built from the Far Ultraviolet Spectroscopic Explorer (FUSE) mission for which component models and their probabilities of failure are based on realistic mission data. A comparison of our approach with an alternative framework for spacecraft task planning and fault management is presented in the context of the FUSE mission.

[Clinical decision making: Fostering critical thinking in the nursing diagnostic process through case studies].

PubMed

Müller-Staub, Maria; Stuker-Studer, Ursula

2006-10-01

Case studies, based on actual patients' situations, provide a method of clinical decision making to foster critical thinking in nurses. This paper describes the method and process of group case studies applied in continuous education settings. This method bases on Balints' case supervision and was further developed and combined with the nursing diagnostic process. A case study contains different phases: Pre-phase, selection phase, case delineation and case work. The case provider narratively tells the situation of a patient. This allows the group to analyze and cluster signs and symptoms, to state nursing diagnoses and to derive nursing interventions. Results of the case study are validated by applying the theoretical background and critical appraisal of the case provider. Learning effects of the case studies were evaluated by means of qualitative questionnaires and analyzed according to Mayring. Findings revealed the following categories: a) Patients' problems are perceived in a patient centred way, accurate nursing diagnoses are stated and effective nursing interventions implemented. b) Professional nursing tasks are more purposefully perceived and named more precise. c) Professional nursing relationship, communication and respectful behaviour with patients were perceived in differentiated ways. The theoretical framework is described in the paper "Clinical decision making and critical thinking in the nursing diagnostic process". (Müller-Staub, 2006).

Screening of pollution control and clean-up materials for river chemical spills using the multiple case-based reasoning method with a difference-driven revision strategy.

PubMed

Liu, Rentao; Jiang, Jiping; Guo, Liang; Shi, Bin; Liu, Jie; Du, Zhaolin; Wang, Peng

2016-06-01

In-depth filtering of emergency disposal technology (EDT) and materials has been required in the process of environmental pollution emergency disposal. However, an urgent problem that must be solved is how to quickly and accurately select the most appropriate materials for treating a pollution event from the existing spill control and clean-up materials (SCCM). To meet this need, the following objectives were addressed in this study. First, the material base and a case base for environment pollution emergency disposal were established to build a foundation and provide material for SCCM screening. Second, the multiple case-based reasoning model method with a difference-driven revision strategy (DDRS-MCBR) was applied to improve the original dual case-based reasoning model method system, and screening and decision-making was performed for SCCM using this model. Third, an actual environmental pollution accident from 2012 was used as a case study to verify the material base, case base, and screening model. The results demonstrated that the DDRS-MCBR method was fast, efficient, and practical. The DDRS-MCBR method changes the passive situation in which the choice of SCCM screening depends only on the subjective experience of the decision maker and offers a new approach to screening SCCM.

Conflict in Staff Development Implementation: A Case Study

ERIC Educational Resources Information Center

Ponticell, Judith A.; Thomas, Julie A.; Cooper, Sandra B.

2006-01-01

Staff development is aimed at changing practice. Change creates conflict. Little work has been done to gain insight into the conflict that teachers experience in the implementation of staff development. This study examines conflict in a staff development project aimed at increasing teachers' knowledge and implementation of problem-based integrated…

A Case Study Inquiry on Faculty Advisors and the Appreciative Advising Model

ERIC Educational Resources Information Center

Finch, Brian S.

2013-01-01

Appreciative advising is an innovative academic advising method based on the organizational development theory of appreciative inquiry. This approach emphasizes student strengths through a collaborative relationship between advisor and student using open-ended questions and focusing on positive potential. This study addressed the local problem of…

Drugs & the Brain: Case-based Instruction for an Undergraduate Neuropharmacology Course.

PubMed

Nagel, Anastasia; Nicholas, Andrea

2017-01-01

In order to transform a traditional large non-majors general education (GE) neurobiology lecture (Drugs & the Brain) into an active learning course, we developed a series of directed mini-cases targeting major drug classes. Humorous and captivating case-based situations were used to better engage and motivate students to solve problems related to neuropharmacology and physiology. Here we provide directed cases, questions and learning outcomes for our opiates mini-cases. In addition, we describe how case studies were incorporated into our course and assessed using peer review and online quizzing. An in-depth analysis of the overall course transformation on student exam performance, opinions and instructor evaluations can be found in the JUNE article Don't Believe the Gripe! Increasing Course Structure in a Large Non-majors Neuroscience Course.

An advanced teaching scheme for integrating problem-based learning in control education

NASA Astrophysics Data System (ADS)

Juuso, Esko K.

2018-03-01

Engineering education needs to provide both theoretical knowledge and problem-solving skills. Many topics can be presented in lectures and computer exercises are good tools in teaching the skills. Learning by doing is combined with lectures to provide additional material and perspectives. The teaching scheme includes lectures, computer exercises, case studies, seminars and reports organized as a problem-based learning process. In the gradually refining learning material, each teaching method has its own role. The scheme, which has been used in teaching two 4th year courses, is beneficial for overall learning progress, especially in bilingual courses. The students become familiar with new perspectives and are ready to use the course material in application projects.

Clinical rotation in pathology: description of a case based approach.

PubMed

Bezuidenhout, J; Wasserman, E; Mansvelt, E; Meyer, C; van Zyl, G; Orth, H; Els, A

2006-04-01

The implementation of a system based, integrated curriculum at the Faculty of Health Sciences of Stellenbosch University, Western Cape, South Africa, resulted in less contact time for the pathology disciplines during theoretical modules, while a weekly rotation in pathology was introduced during clinical training in the fourth and fifth years. To describe a problem based approach for this rotation. Students are presented with a clinical "paper" case daily, integrating as many of the pathology disciplines as possible to demonstrate the interdependence of the various disciplines. They receive chemical pathology tutorials, visit the various laboratories, and receive practical training in fine needle aspiration biopsy. On the final day, the case studies are assessed and discussed. Most students appreciated all activities. This rotation enhanced student interactivity and autonomy and guaranteed immediate feedback. On evaluation of the rotation it was found that the students enjoyed the rotation, learnt something new, and realised the value of group work. This innovation integrates pathology with clinical practice and illustrates the use of laboratory medicine in the management of common diseases seen in this country. Students appreciate learning practical skills and having to request special investigations under a pathologist's supervision changes their approach to pathology requests. Familiarity with the pathology environment empowers the student to use pathology with greater ease. A bank of case studies that can be expanded to include all medical disciplines will facilitate the application of a problem based approach and enhance communication between the basic science disciplines and the clinical and pathology disciplines.

A case study illustrating the use of an attachment video-feedback intervention strategy.

PubMed

Tarabulsy, George M; Dubois-Comtois, Karine; Baudry, Claire; Moss, Ellen; Roberge, Annie; Savage, Laura-Emilie; Cyr, Chantal; St-Laurent, Diane; Bernier, Annie

2018-05-21

Children from high-risk environments are more likely to experience problems in development. Many difficulties are linked to early experiences in the context of the emerging attachment relationship. Over the past 20 years, our group has collaborated with government agencies to develop and implement an attachment-based video-feedback intervention strategy (AVI) that targets parental sensitivity and attachment. This case study presents the manner in which a young mother and her 6-month-old son experienced AVI. The study shows how the absence of maternal sensitivity and responsiveness to infant signals, difficulties in helping the child regulate affect, and problems in autonomy support are addressed via eight semi-structured mentoring visits. Discussion focuses on how AVI may be a helpful addition to primary prevention programs. © 2018 Wiley Periodicals, Inc.

Optimization of Airport Surface Traffic: A Case-Study of Incheon International Airport

NASA Technical Reports Server (NTRS)

Eun, Yeonju; Jeon, Daekeun; Lee, Hanbong; Jung, Yoon C.; Zhu, Zhifan; Jeong, Myeongsook; Kim, Hyounkong; Oh, Eunmi; Hong, Sungkwon

2017-01-01

This study aims to develop a controllers decision support tool for departure and surface management of ICN. Airport surface traffic optimization for Incheon International Airport (ICN) in South Korea was studied based on the operational characteristics of ICN and airspace of Korea. For surface traffic optimization, a multiple runway scheduling problem and a taxi scheduling problem were formulated into two Mixed Integer Linear Programming (MILP) optimization models. The Miles-In-Trail (MIT) separation constraint at the departure fix shared by the departure flights from multiple runways and the runway crossing constraints due to the taxi route configuration specific to ICN were incorporated into the runway scheduling and taxiway scheduling problems, respectively. Since the MILP-based optimization model for the multiple runway scheduling problem may be computationally intensive, computation times and delay costs of different solving methods were compared for a practical implementation. This research was a collaboration between Korea Aerospace Research Institute (KARI) and National Aeronautics and Space Administration (NASA).

Optimization of Airport Surface Traffic: A Case-Study of Incheon International Airport

NASA Technical Reports Server (NTRS)

Eun, Yeonju; Jeon, Daekeun; Lee, Hanbong; Jung, Yoon Chul; Zhu, Zhifan; Jeong, Myeong-Sook; Kim, Hyoun Kyoung; Oh, Eunmi; Hong, Sungkwon

2017-01-01

This study aims to develop a controllers' decision support tool for departure and surface management of ICN. Airport surface traffic optimization for Incheon International Airport (ICN) in South Korea was studied based on the operational characteristics of ICN and airspace of Korea. For surface traffic optimization, a multiple runway scheduling problem and a taxi scheduling problem were formulated into two Mixed Integer Linear Programming (MILP) optimization models. The Miles-In-Trail (MIT) separation constraint at the departure fix shared by the departure flights from multiple runways and the runway crossing constraints due to the taxi route configuration specific to ICN were incorporated into the runway scheduling and taxiway scheduling problems, respectively. Since the MILP-based optimization model for the multiple runway scheduling problem may be computationally intensive, computation times and delay costs of different solving methods were compared for a practical implementation. This research was a collaboration between Korea Aerospace Research Institute (KARI) and National Aeronautics and Space Administration (NASA).

Using Zaltman Metaphor Elicitation Technique to Map Beneficiaries' Experiences and Values: A Case Example From the Sanitation Sector

ERIC Educational Resources Information Center

Kokko, Suvi; Lagerkvist, Carl Johan

2017-01-01

Using a case example of an innovative sanitation solution in a slum setting, this study explores the usefulness of the Zaltman Metaphor Elicitation Technique in a program planning and evaluation context. Using a qualitative image-based method to map people's mental models of ill-structured problems such as sanitation can aid program planners and…

Junior high school students' cognitive process in solving the developed algebraic problems based on information processing taxonomy model

NASA Astrophysics Data System (ADS)

Purwoko, Saad, Noor Shah; Tajudin, Nor'ain Mohd

2017-05-01

This study aims to: i) develop problem solving questions of Linear Equations System of Two Variables (LESTV) based on levels of IPT Model, ii) explain the level of students' skill of information processing in solving LESTV problems; iii) explain students' skill in information processing in solving LESTV problems; and iv) explain students' cognitive process in solving LESTV problems. This study involves three phases: i) development of LESTV problem questions based on Tessmer Model; ii) quantitative survey method on analyzing students' skill level of information processing; and iii) qualitative case study method on analyzing students' cognitive process. The population of the study was 545 eighth grade students represented by a sample of 170 students of five Junior High Schools in Hilir Barat Zone, Palembang (Indonesia) that were chosen using cluster sampling. Fifteen students among them were drawn as a sample for the interview session with saturated information obtained. The data were collected using the LESTV problem solving test and the interview protocol. The quantitative data were analyzed using descriptive statistics, while the qualitative data were analyzed using the content analysis. The finding of this study indicated that students' cognitive process was just at the step of indentifying external source and doing algorithm in short-term memory fluently. Only 15.29% students could retrieve type A information and 5.88% students could retrieve type B information from long-term memory. The implication was the development problems of LESTV had validated IPT Model in modelling students' assessment by different level of hierarchy.

Problem-Based Learning and Civic Engagement in Undergraduate Education

ERIC Educational Resources Information Center

Keegan, Louise C.; Losardo, Angela; McCullough, Kim C.

2017-01-01

Problem-based learning and civic engagement are complementary constructivist andragogical approaches that emphasize active learning by guiding students to develop their own understanding and knowledge of a topic through experience and reflection. By providing examples of clinical cases and community-based experiences, these approaches can enhance…

Quality assurance in surgical practice through auditing.

PubMed

Wong, W T

1980-05-01

An efficient auditing method is presented which involves objective criteria-based numerical screening of medical process and treatment outcome by paramedical staff and detailed analysis of deviated cases by surgeons. If properly performed it requires the study of no more than 50 cases in a diagnostic category to provide sufficient information about the quality of care. Encouraging points as well as problems are communicated to the surgeons to induce the maintenance or improvement of the standard of care. Graphic documentation of case performance is possible, allowing surgeons to compare results with their colleagues. The general performance level of several consecutive studies can be compared at a glance. In addition, logical education programs to improve the medical process can be designed on the basis of the problems identified. As all the cases with an unacceptable outcome are traceable to inadequate medical process, improvement in this area will decrease outcome defects. With the use of auditing and the follow-up technique described, the quality of care in surgery may be assured.

Job shop scheduling problem with late work criterion

NASA Astrophysics Data System (ADS)

Piroozfard, Hamed; Wong, Kuan Yew

2015-05-01

Scheduling is considered as a key task in many industries, such as project based scheduling, crew scheduling, flight scheduling, machine scheduling, etc. In the machine scheduling area, the job shop scheduling problems are considered to be important and highly complex, in which they are characterized as NP-hard. The job shop scheduling problems with late work criterion and non-preemptive jobs are addressed in this paper. Late work criterion is a fairly new objective function. It is a qualitative measure and concerns with late parts of the jobs, unlike classical objective functions that are quantitative measures. In this work, simulated annealing was presented to solve the scheduling problem. In addition, operation based representation was used to encode the solution, and a neighbourhood search structure was employed to search for the new solutions. The case studies are Lawrence instances that were taken from the Operations Research Library. Computational results of this probabilistic meta-heuristic algorithm were compared with a conventional genetic algorithm, and a conclusion was made based on the algorithm and problem.

The impact of training in problem-based interviewing on the detection and management of psychological problems presenting in primary care.

PubMed Central

Scott, J; Jennings, T; Standart, S; Ward, R; Goldberg, D

1999-01-01

BACKGROUND: The vast majority of mental health problems present to primary care teams. However, rates of under-diagnosis remain worryingly high. This study explores a GP-centred approach to these issues. AIM: To examine the impact of training in problem-based interviewing (BPI) on the detection and management of psychological problems in primary care. METHOD: The detection and management of psychological problems by 10 general practitioners (GPs) who had received PBI training 12 months earlier was compared with that of 10 control GPs matched for age, sex, clinical experience, and practice setting; and had originally applied for, but had not been able to attend, BPI training. Consecutive attendees at one randomly selected surgery undertaken by each GP were invited to participate in the study. Two hundred and eighty patients living in Newcastle upon Tyne met inclusion criteria and gave informed consent. The presence or absence of psychological problems was assessed using patient self-ratings on the 28-item version of the General Health Questionnaire (GHQ) and blind independent observer ratings of the brief Present State Examination (PSE). Patient satisfaction with interviews was rated using the Medical Interview Satisfaction Scale (MISS). After each consultation, the GPs (blind to subjective and observer ratings) recorded their assessment and management of the patients' problems on a Practice Activity Card (PAC). RESULTS: In comparison with control GPs, index GPs demonstrated significantly greater sensitivity in the detection of psychological problems in the GHQ-PAC ratings. The absolute decrease in misdiagnosis of GHQ cases was 9% and of PSE cases was 15%. Patients meeting GHQ criteria for caseness were more likely to be prescribed psychotropic medication by an index GP than compared with a control GP. Length of interview did not differ between the groups and mean scores on the MISS suggested that patients attending PBI-trained GPs, compared with control GPs, were as satisfied or slightly more satisfied with their consultation. CONCLUSION: In comparison with control GPs, PBI-trained GPs were better at recognizing and managing psychological disorders. The potential benefits of BPI training are discussed in light of other attempts to improve mental health skills in primary care. PMID:10562742

Interpersonal Change in Brief Supportive Psychotherapy

PubMed Central

Rosenthal, Richard N.; Muran, J. Christopher; Pinsker, Henry; Hellerstein, David; Winston, Arnold

1999-01-01

As a substudy of a manual-based outcome study of the Beth Israel Brief Psychotherapy Program, the authors studied the efficacy of supportive psychotherapy in personality change, with particular attention to changes that outlast the period of treatment. They examined results from the Inventory of Interpersonal Problems (IIP) at intake, 40th-session termination, and 6-month follow-up in the first 20 subjects randomized to the supportive group. Eight subjects (40%) dropped out, but their initial IIP scores did not differ from those of follow-up completers. Six of 10 subjects with complete 6-month follow-up data showed significant improvement in interpersonal problems (4 cases P < 0.001; 2 cases P < 0.05). In a case method design, using the IIP mapped to an interpersonal circumplex model, the authors graphically demonstrate lasting positive changes in interpersonal functioning in subjects treated with supportive psychotherapy. (The Journal of Psychotherapy Practice and Research 1999; 8:55–63) PMID:9888107

Performance of Case-Based Reasoning Retrieval Using Classification Based on Associations versus Jcolibri and FreeCBR: A Further Validation Study

NASA Astrophysics Data System (ADS)

Aljuboori, Ahmed S.; Coenen, Frans; Nsaif, Mohammed; Parsons, David J.

2018-05-01

Case-Based Reasoning (CBR) plays a major role in expert system research. However, a critical problem can be met when a CBR system retrieves incorrect cases. Class Association Rules (CARs) have been utilized to offer a potential solution in a previous work. The aim of this paper was to perform further validation of Case-Based Reasoning using a Classification based on Association Rules (CBRAR) to enhance the performance of Similarity Based Retrieval (SBR). The CBRAR strategy uses a classed frequent pattern tree algorithm (FP-CAR) in order to disambiguate wrongly retrieved cases in CBR. The research reported in this paper makes contributions to both fields of CBR and Association Rules Mining (ARM) in that full target cases can be extracted from the FP-CAR algorithm without invoking P-trees and union operations. The dataset used in this paper provided more efficient results when the SBR retrieves unrelated answers. The accuracy of the proposed CBRAR system outperforms the results obtained by existing CBR tools such as Jcolibri and FreeCBR.

Applying a Genetic Algorithm to Reconfigurable Hardware

NASA Technical Reports Server (NTRS)

Wells, B. Earl; Weir, John; Trevino, Luis; Patrick, Clint; Steincamp, Jim

2004-01-01

This paper investigates the feasibility of applying genetic algorithms to solve optimization problems that are implemented entirely in reconfgurable hardware. The paper highlights the pe$ormance/design space trade-offs that must be understood to effectively implement a standard genetic algorithm within a modem Field Programmable Gate Array, FPGA, reconfgurable hardware environment and presents a case-study where this stochastic search technique is applied to standard test-case problems taken from the technical literature. In this research, the targeted FPGA-based platform and high-level design environment was the Starbridge Hypercomputing platform, which incorporates multiple Xilinx Virtex II FPGAs, and the Viva TM graphical hardware description language.

Unifying Heterogeneous E-Learning Modalities in a Single Platform: CADI, a Case Study

ERIC Educational Resources Information Center

Cabrera-Lozoya, Andres; Cerdan, Fernando; Cano, Maria-Dolores; Garcia-Sanchez, Diego; Lujan, Sergio

2012-01-01

Current e-learning forms are commonly based on improving the learning process through the enhancement of certain skills in students, such as collaborative, competitive or problem-based learning. However, it seems that there is still no e-learning "formula" that gathers the implementation of a number of more generic educational principles in a…

A Case-Based Learning Model in Orthodontics.

ERIC Educational Resources Information Center

Engel, Francoise E.; Hendricson, William D.

1994-01-01

A case-based, student-centered instructional model designed to mimic orthodontic problem solving and decision making in dental general practice is described. Small groups of students analyze case data, then record and discuss their diagnoses and treatments. Students and instructors rated the seminars positively, and students reported improved…

Decerns: A framework for multi-criteria decision analysis

DOE PAGES

Yatsalo, Boris; Didenko, Vladimir; Gritsyuk, Sergey; ...

2015-02-27

A new framework, Decerns, for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. Decerns framework contains a library of modules that are the basis for two scalable systems: DecernsMCDA for analysis of multicriteria problems, and DecernsSDSS for multicriteria analysis of spatial options. DecernsMCDA includes well known MCDA methods and original methods for uncertainty treatment based on probabilistic approaches and fuzzy numbers. As a result, these MCDA methods are described along with a case study on analysis of multicriteria location problem.

Improving real-time efficiency of case-based reasoning for medical diagnosis.

PubMed

Park, Yoon-Joo

2014-01-01

Conventional case-based reasoning (CBR) does not perform efficiently for high volume dataset because of case-retrieval time. Some previous researches overcome this problem by clustering a case-base into several small groups, and retrieve neighbors within a corresponding group to a target case. However, this approach generally produces less accurate predictive performances than the conventional CBR. This paper suggests a new case-based reasoning method called the Clustering-Merging CBR (CM-CBR) which produces similar level of predictive performances than the conventional CBR with spending significantly less computational cost.

Learning from Simple Ebooks, Online Cases or Classroom Teaching When Acquiring Complex Knowledge. A Randomized Controlled Trial in Respiratory Physiology and Pulmonology

PubMed Central

Worm, Bjarne Skjødt

2013-01-01

Background and Aims E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. Methods 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. Results For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). Conclusions E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method. PMID:24039917

Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

PubMed

Worm, Bjarne Skjødt

2013-01-01

E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

[Oral motor dysfunction, feeding problems and nutritional status in children with cerebral palsy].

PubMed

Hou, Mei; Fu, Ping; Zhao, Jian-hui; Lan, Kun; Zhang, Hong

2004-10-01

This study was undertaken to investigate the clinical features of oral motor dysfunction and feeding problems as well as the nutritional status of children with cerebral palsy (CP). Fifty-nine CP children, 39 boys and 20 girls, mean age 31 months (20 to 72 months), were recruited. Their parents were interviewed for high risk factors and feeding history. Each case was assessed for oral motor and feeding problems based on oral motor and feeding skill score; for nutritional status by measurement of weight, height; neurologically for type of cerebral palsy and for developmental age by Gesell's developmental scale. Equal number of age and sex matched controls were included for comparison of nutritional status, oral motor and feeding skill score. Among 59 patients, 51 cases had oral motor dysfunction and 55 cases had feeding problems including all athtosis, spastic tetraplegia, and 16 had spastic diplegia. The scores of both the mean oral motor function and feeding skill of CP children were significantly lower than those of the controls (P < 0.001). Main food of children with cerebral palsy consisted of liquid and semisolid diet. Body weight and height below the 25th percentile were found in 13 cases and 19 cases, respectively. The majority of the children with cerebral palsy had oral motor dysfunction and feeding problems which appeared in early age and disturbed the growth and nutritional status. Thorough assessment for oral motor function, feeding problems and nutritional status of CP children is indicated in order to start timely rehabilitation and nutritional interventions which can significantly improve their nutritional status and quality of life.

Support and monitoring of families after child abuse detection based on parental characteristics at the Emergency Department.

PubMed

Diderich, H M; Pannebakker, F D; Dechesne, M; Buitendijk, S E; Oudesluys-Murphy, A M

2015-03-01

The 'Hague Protocol' enables professionals at the adult Emergency Department (ED) to detect child abuse based on three parental characteristics: (i) suicide attempt or self-harm, (ii) domestic violence or (iii) substance abuse, and to refer them to the Reporting Centre for Child Abuse and Neglect (RCCAN). This study investigates what had happened to the families three months after this referral. ED referrals based on parental characteristics (N = 100) in which child abuse was confirmed after investigation by the RCCAN were analysed. Information was collected regarding type of child abuse, reason for reporting, duration of problems prior to the ED referral, previous involvement of support services or other agencies, re-occurrence of the problems and outcome of the RCCAN monitoring according to professionals and the families. Of the 100 referred cases, 68 families were already known to the RCCAN, the police or family support services, prior to the ED referral. Of the 99 cases where information was available, existing support was continued or intensified in 31, a Child Protection Services (CPS) report had to be made in 24, new support was organized for 27 cases and in 17 cases support was not necessary, because the domestic problems were already resolved. Even though the RCCAN is mandated to monitor all referred families after three months, 31 cases which were referred internally were not followed up. Before referral by the ED two thirds of these families were already known to organizations. Monitoring may help provide a better, more sustained service and prevent and resolve domestic problems. A national database could help to link data and to streamline care for victims and families. We recommend a Randomized Controlled Trial to test the effectiveness of this Protocol in combination with the outcomes of the provided family support. © 2014 John Wiley & Sons Ltd.

Transverse vibration and buckling of a cantilevered beam with tip body under constant axial base acceleration

NASA Technical Reports Server (NTRS)

Storch, J.; Gates, S.

1983-01-01

The planar transverse bending behavior of a uniform cantilevered beam with rigid tip body subject to constant axial base acceleration was analyzed. The beam is inextensible and capable of small elastic transverse bending deformations only. Two classes of tip bodies are recognized: (1) mass centers located along the beam tip tangent line; and (2) mass centers with arbitrary offset towards the beam attachment point. The steady state response is studied for the beam end condition cases: free, tip mass, tip body with restricted mass center offset, and tip body with arbitrary mass center offset. The first three cases constitute classical Euler buckling problems, and the characteristic equation for the critical loads/accelerations are determined. For the last case a unique steady state solution exists. The free vibration response is examined for the two classes of tip body. The characteristic equation, eigenfunctions and their orthogonality properties are obtained for the case of restricted mass center offset. The vibration problem is nonhomogeneous for the case of arbitrary mass center offset. The exact solution is obtained as a sum of the steady state solution and a superposition of simple harmonic motions.

Magnus integrators on multicore CPUs and GPUs

NASA Astrophysics Data System (ADS)

Auer, N.; Einkemmer, L.; Kandolf, P.; Ostermann, A.

2018-07-01

In the present paper we consider numerical methods to solve the discrete Schrödinger equation with a time dependent Hamiltonian (motivated by problems encountered in the study of spin systems). We will consider both short-range interactions, which lead to evolution equations involving sparse matrices, and long-range interactions, which lead to dense matrices. Both of these settings show very different computational characteristics. We use Magnus integrators for time integration and employ a framework based on Leja interpolation to compute the resulting action of the matrix exponential. We consider both traditional Magnus integrators (which are extensively used for these types of problems in the literature) as well as the recently developed commutator-free Magnus integrators and implement them on modern CPU and GPU (graphics processing unit) based systems. We find that GPUs can yield a significant speed-up (up to a factor of 10 in the dense case) for these types of problems. In the sparse case GPUs are only advantageous for large problem sizes and the achieved speed-ups are more modest. In most cases the commutator-free variant is superior but especially on the GPU this advantage is rather small. In fact, none of the advantage of commutator-free methods on GPUs (and on multi-core CPUs) is due to the elimination of commutators. This has important consequences for the design of more efficient numerical methods.

Social Issues and Problem-Based Learning in Sociology: Opportunities and Challenges in the Undergraduate Classroom

ERIC Educational Resources Information Center

Eglitis, Daina S.; Buntman, Fran L.; Alexander, Dameon V.

2016-01-01

This article discusses the use of problem-based learning (PBL) in the undergraduate sociology classroom. PBL shifts students from the role of passive listeners and learners to active knowledge builders and communicators through the use of concise and engaging social problem cases. PBL creates opportunities for building substantive area knowledge,…

Developing a Theory of Digitally-Enabled Trial-Based Problem Solving through Simulation Methods: The Case of Direct-Response Marketing

ERIC Educational Resources Information Center

Clark, Joseph Warren

2012-01-01

In turbulent business environments, change is rapid, continuous, and unpredictable. Turbulence undermines those adaptive problem solving methods that generate solutions by extrapolating from what worked (or did not work) in the past. To cope with this challenge, organizations utilize trial-based problem solving (TBPS) approaches in which they…

The development and evaluation of a web-based programme to support problem-solving skills following brain injury.

PubMed

Powell, Laurie Ehlhardt; Wild, Michelle R; Glang, Ann; Ibarra, Summer; Gau, Jeff M; Perez, Amanda; Albin, Richard W; O'Neil-Pirozzi, Therese M; Wade, Shari L; Keating, Tom; Saraceno, Carolyn; Slocumb, Jody

2017-10-24

Cognitive impairments following brain injury, including difficulty with problem solving, can pose significant barriers to successful community reintegration. Problem-solving strategy training is well-supported in the cognitive rehabilitation literature. However, limitations in insurance reimbursement have resulted in fewer services to train such skills to mastery and to support generalization of those skills into everyday environments. The purpose of this project was to develop and evaluate an integrated, web-based programme, ProSolv, which uses a small number of coaching sessions to support problem solving in everyday life following brain injury. We used participatory action research to guide the iterative development, usability testing, and within-subject pilot testing of the ProSolv programme. The finalized programme was then evaluated in a between-subjects group study and a non-experimental single case study. Results were mixed across studies. Participants demonstrated that it was feasible to learn and use the ProSolv programme for support in problem solving. They highly recommended the programme to others and singled out the importance of the coach. Limitations in app design were cited as a major reason for infrequent use of the app outside of coaching sessions. Results provide mixed evidence regarding the utility of web-based mobile apps, such as ProSolv to support problem solving following brain injury. Implications for Rehabilitation People with cognitive impairments following brain injury often struggle with problem solving in everyday contexts. Research supports problem solving skills training following brain injury. Assistive technology for cognition (smartphones, selected apps) offers a means of supporting problem solving for this population. This project demonstrated the feasibility of a web-based programme to address this need.

Speaker verification using committee neural networks.

PubMed

Reddy, Narender P; Buch, Ojas A

2003-10-01

Security is a major problem in web based access or remote access to data bases. In the present study, the technique of committee neural networks was developed for speech based speaker verification. Speech data from the designated speaker and several imposters were obtained. Several parameters were extracted in the time and frequency domains, and fed to neural networks. Several neural networks were trained and the five best performing networks were recruited into the committee. The committee decision was based on majority voting of the member networks. The committee opinion was evaluated with further testing data. The committee correctly identified the designated speaker in (50 out of 50) 100% of the cases and rejected imposters in (150 out of 150) 100% of the cases. The committee decision was not unanimous in majority of the cases tested.

Usability Testing: A Case Study.

ERIC Educational Resources Information Center

Chisman, Janet; Walbridge, Sharon; Diller, Karen

1999-01-01

Discusses the development and results of usability testing of Washington State University's Web-based OPAC (online public access catalog); examines how easily users could navigate the catalog and whether they understood what they were seeing; and identifies problems and what action if any was taken. (LRW)

Thresholds of Knowledge Development in Complex Problem Solving: A Multiple-Case Study of Advanced Learners' Cognitive Processes

ERIC Educational Resources Information Center

Bogard, Treavor; Liu, Min; Chiang, Yueh-hui Vanessa

2013-01-01

This multiple-case study examined how advanced learners solved a complex problem, focusing on how their frequency and application of cognitive processes contributed to differences in performance outcomes, and developing a mental model of a problem. Fifteen graduate students with backgrounds related to the problem context participated in the study.…

A new patent-based approach for technology mapping in the pharmaceutical domain.

PubMed

Russo, Davide; Montecchi, Tiziano; Carrara, Paolo

2013-09-01

The key factor in decision-making is the quality of information collected and processed in the problem analysis. In most cases, patents represent a very important source of information. The main problem is how to extract such information from the huge corpus of documents with a high recall and precision, and in a short time. This article demonstrates a patent search and classification method, called Knowledge Organizing Module, which consists of creating, almost automatically, a pool of patents based on polysemy expansion and homonymy disambiguation. Since the pool is done, an automatic patent technology landscaping is provided for fixing the state of the art of our product, and exploring competing alternative treatments and/or possible technological opportunities. An exemplary case study is provided, it deals with a patent analysis in the field of verruca treatments.

Ergonomic problems regarding the interactive touch input via screens in onboard and ground-based flight control

NASA Technical Reports Server (NTRS)

Holzhausen, K. P.; Gaertner, K. P.

1985-01-01

A significant problem concerning the integration of display and switching functions is related to the fact that numerous informative data which have to be processed by man must be read from only a few display devices. A satisfactory ergonomic design of integrated display devices and keyboards is in many cases difficult, because not all functions which can be displayed and selected are simultaneously available. A technical solution which provides an integration of display and functional elements on the basis of the highest flexibility is obtained by using a cathode ray tube with a touch-sensitive screen. The employment of an integrated data input/output system is demonstrated for the cases of onboard and ground-based flight control. Ergonomic studies conducted to investigate the suitability of an employment of touch-sensitive screens are also discussed.

On Using Satellite-Based Networks for Capacity Building and Education for All: A Case Study of Rajiv Gandhi Project for EduSat-Supported Elementary Education

ERIC Educational Resources Information Center

Chaudhary, Sohanvir; Garg, Suresh

2010-01-01

One of the serious problems associated with Indian school education has been high dropout rate. The reasons are many and varied but the major constraints are: non-availability of adequate number of competent and trained teachers in most of the schools and separate room for each class. To overcome such problems and increase equitable access to all,…

The International Ultraviolet Explorer: Case study in spacecraft design

NASA Technical Reports Server (NTRS)

Freeman, H. R.; Longanecker, G. W.

1979-01-01

The International Ultraviolet Explorer (IUE) is a geosynchronous scientific satellite that was conceived as an international space observatory capable of measuring UV spectra of faint celestial bodies. Simple operational procedures allow the astronomers to joystick the spaceborne telescope about the sky, using familiar ground-based observatory techniques. The present paper deals with the IUE project objectives, the technical problems, constraints, trade-offs, and the problem solving techniques used in the IUE program.

Global Lakes Sentinel Services: Monitoring Water Quality Trends in Deep, Clear Lakes to Detect Causes and Effects of Changes in Trophic Status

NASA Astrophysics Data System (ADS)

Poser, Kathrin; Peters, Steef; Hommersom, Annelies; Giardino, Claudia; Bresciani, Mariano; Cazzaniga, Ilaria; Schenk, Karin; Heege, Thomas; Philipson, Petra; Ruescas, Ana; Bottcher, Martin; Stelzer, Kerstin

2015-12-01

The GLaSS project develops a prototype infrastructure to ingest and process large amounts of Sentinel-2 and Sentinel-3 data for lakes and reservoirs. To demonstrate the value of satellite observations for the management of aquatic ecosystems, global case studies are performed addressing different types of lakes with their respective problems and management questions. One of these case studies is concentrating on deep clear lakes worldwide. The aim of this case study is to evaluate trends of chlorophyll-a concentrations (Chl-a) as a proxy of the trophic status based on the MERIS full resolution data archive. Some preliminary results of this case study are presented here.

Recommendations for benefit-risk assessment methodologies and visual representations.

PubMed

Hughes, Diana; Waddingham, Ed; Mt-Isa, Shahrul; Goginsky, Alesia; Chan, Edmond; Downey, Gerald F; Hallgreen, Christine E; Hockley, Kimberley S; Juhaeri, Juhaeri; Lieftucht, Alfons; Metcalf, Marilyn A; Noel, Rebecca A; Phillips, Lawrence D; Ashby, Deborah; Micaleff, Alain

2016-03-01

The purpose of this study is to draw on the practical experience from the PROTECT BR case studies and make recommendations regarding the application of a number of methodologies and visual representations for benefit-risk assessment. Eight case studies based on the benefit-risk balance of real medicines were used to test various methodologies that had been identified from the literature as having potential applications in benefit-risk assessment. Recommendations were drawn up based on the results of the case studies. A general pathway through the case studies was evident, with various classes of methodologies having roles to play at different stages. Descriptive and quantitative frameworks were widely used throughout to structure problems, with other methods such as metrics, estimation techniques and elicitation techniques providing ways to incorporate technical or numerical data from various sources. Similarly, tree diagrams and effects tables were universally adopted, with other visualisations available to suit specific methodologies or tasks as required. Every assessment was found to follow five broad stages: (i) Planning, (ii) Evidence gathering and data preparation, (iii) Analysis, (iv) Exploration and (v) Conclusion and dissemination. Adopting formal, structured approaches to benefit-risk assessment was feasible in real-world problems and facilitated clear, transparent decision-making. Prior to this work, no extensive practical application and appraisal of methodologies had been conducted using real-world case examples, leaving users with limited knowledge of their usefulness in the real world. The practical guidance provided here takes us one step closer to a harmonised approach to benefit-risk assessment from multiple perspectives. Copyright © 2016 John Wiley & Sons, Ltd.

An Architecture for Case-Based Learning

ERIC Educational Resources Information Center

Cifuentes, Laurent; Mercer, Rene; Alverez, Omar; Bettati, Riccardo

2010-01-01

We report on the design, development, implementation, and evaluation of a case-based instructional environment designed for learning network engineering skills for cybersecurity. We describe the societal problem addressed, the theory-based solution, and the preliminary testing and evaluation of that solution. We identify an architecture for…

Fuzzy α-minimum spanning tree problem: definition and solutions

NASA Astrophysics Data System (ADS)

Zhou, Jian; Chen, Lu; Wang, Ke; Yang, Fan

2016-04-01

In this paper, the minimum spanning tree problem is investigated on the graph with fuzzy edge weights. The notion of fuzzy ? -minimum spanning tree is presented based on the credibility measure, and then the solutions of the fuzzy ? -minimum spanning tree problem are discussed under different assumptions. First, we respectively, assume that all the edge weights are triangular fuzzy numbers and trapezoidal fuzzy numbers and prove that the fuzzy ? -minimum spanning tree problem can be transformed to a classical problem on a crisp graph in these two cases, which can be solved by classical algorithms such as the Kruskal algorithm and the Prim algorithm in polynomial time. Subsequently, as for the case that the edge weights are general fuzzy numbers, a fuzzy simulation-based genetic algorithm using Prüfer number representation is designed for solving the fuzzy ? -minimum spanning tree problem. Some numerical examples are also provided for illustrating the effectiveness of the proposed solutions.

Case-based learning in endocrine physiology: an approach toward self-directed learning and the development of soft skills in medical students.

PubMed

Gade, Shubhada; Chari, Suresh

2013-12-01

The Medical Council of India, in the recent Vision 2015 document, recommended curricular reforms for undergraduates. Case-based learning (CBL) is one method where students are motivated toward self-directed learning and to develop analytic and problem-solving skills. An overview of thyroid physiology was given in a didactic lecture. A paper-based case scenario of multinodular goiter was given to phase I Bachelor of Medicine, Bachelor of Surgery students in two sessions. An attitude survey of the students and teachers was done using a Likert scale ranging from strongly disagrees to strongly agree. A pretest and posttest were conducted. The students opined that CBL helped them to better their understanding of a particular topic, gave them better retention of knowledge, helped them to relate clinical conditions to basic sciences, improved soft skills such as communication skills and group dynamics, and promoted a better teacher-student relationship. There was significant improvement in student's performance when pre- and posttest scores were compared (P = 0.018). Furthermore, faculty members opined that CBL promoted self-study and problem-solving abilities of the students. In conclusion, CBL motivates students toward self-directed learning and to develop analytic and problem-solving skills; thus, CBL could be beneficial for students' entry into clinical departments and, finally, in managing patients.

Utilization and acceptance of virtual patients in veterinary basic sciences - the vetVIP-project.

PubMed

Kleinsorgen, Christin; Kankofer, Marta; Gradzki, Zbigniew; Mandoki, Mira; Bartha, Tibor; von Köckritz-Blickwede, Maren; Naim, Hassan Y; Beyerbach, Martin; Tipold, Andrea; Ehlers, Jan P

2017-01-01

Context: In medical and veterinary medical education the use of problem-based and cased-based learning has steadily increased over time. At veterinary faculties, this development has mainly been evident in the clinical phase of the veterinary education. Therefore, a consortium of teachers of biochemistry and physiology together with technical and didactical experts launched the EU-funded project "vetVIP", to create and implement veterinary virtual patients and problems for basic science instruction. In this study the implementation and utilization of virtual patients occurred at the veterinary faculties in Budapest, Hannover and Lublin. Methods: This report describes the investigation of the utilization and acceptance of students studying veterinary basic sciences using optional online learning material concurrently to regular biochemistry and physiology didactic instruction. The reaction of students towards this offer of clinical case-based learning in basic sciences was analysed using quantitative and qualitative data. Quantitative data were collected automatically within the chosen software-system CASUS as user-log-files. Responses regarding the quality of the virtual patients were obtained using an online questionnaire. Furthermore, subjective evaluation by authors was performed using a focus group discussion and an online questionnaire. Results: Implementation as well as usage and acceptance varied between the three participating locations. High approval was documented in Hannover and Lublin based upon the high proportion of voluntary students (>70%) using optional virtual patients. However, in Budapest the participation rate was below 1%. Due to utilization, students seem to prefer virtual patients and problems created in their native language and developed at their own university. In addition, the statement that assessment drives learning was supported by the observation that peak utilization was just prior to summative examinations. Conclusion: Veterinary virtual patients in basic sciences can be introduced and used for the presentation of integrative clinical case scenarios. Student post-course comments also supported the conclusion that overall the virtual cases increased their motivation for learning veterinary basic sciences.

[Tuberculosis of the lung bases].

PubMed

Elkard, I; Zaghba, N; Benjelloun, H; Bakhatar, A; Yassine, N

2016-05-01

Tuberculosis is a major public health problem in Morocco. Tuberculosis of the lung bases is a rare and atypical form and raises real diagnostic problems. We report a retrospective study of 21 cases of basal pulmonary tuberculosis, collected at the service of respiratory diseases in Ibn Rushd hospital in Casablanca between 2004 and 2015 (11 years). From a total of 21 patients having basal pulmonary tuberculosis, 13 (62%) were women versus eight men (48%), the average age was 33 years. The average time of diagnosis was 25 days. The disease was unilateral in 20 cases (95%). The right lower lobe was the most frequently affected (71%). Inhomogeneous opacities (66%) and consolidation (28%) were the main radiological findings. Associated comorbidities were dominated by diabetes in six cases (28%). Bronchoscopy had recovered thickening spurs in eight cases, endobronchial granules in seven cases and bronchial inflammation in six cases. Bronchial biopsies had found a necrotizing granulomatous inflammation tuberculoide in seven cases (33%). The smear was positive in sputum in three cases (14%), in the bronchial aspirate in four cases (19%), in induced sputum in one case (4.7%) and in post-bronchoscopic sputum in six cases (28%). The antituberculous treatment was started in all patients with good clinical and radiological evolution. The basal localization of the pulmonary tuberculosis is misleading; source of diagnostic delay, hence the need to think about it especially in patients with comorbidities. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Connecting Children to Nature: A Multiple Case Study of Nature Center Preschools

ERIC Educational Resources Information Center

Bailie, Patti Ensel

2012-01-01

Environmental degradation, childhood obesity, and aggression of youth are societal problems that appear unconnected. However, their cause (and possible solution) may be linked to a common experience--the amount and quality of time spent in the natural world. Environment based education, significant life experience research, and studies involving…

Case studies in pathophysiology: The development and evaluation of an interactive online learning environment to develop higher order thinking and argumentation

NASA Astrophysics Data System (ADS)

Titterington, Lynda C.

2007-12-01

This study presents a framework for examining the effects of higher order thinking on the achievement of allied health students enrolled in a pathophysiology course. A series of clinical case studies was developed and published in an enriched online environment that guided students through the process of developing a solution and supporting it through data analysis and interpretation. The series of case study modules scaffolded argumentation through question prompts. The modules began with a simple, direct problem and they became progressively more complex throughout the quarter. A control group was assigned a pencil-and-paper case study based upon recall. The case studies were scored for content accuracy and evidence of higher order thinking skills. Higher order thinking was measured using a rubric based upon the Toulmin argumentation pattern. The results indicated implementing a case study of either online or traditional format was associated with significant gains in achievement. The Web-enhanced case studies were associated with modest gains in knowledge acquisition. The argumentation scores across the series followed two trends: directed case studies were associated with higher levels of argumentation than ill-structured case studies, and there appeared to be an inverse relationship between the students' argumentation and content scores. The protocols developed for this study can serve as a template for a larger, extended investigation into student learning in the online environment.

Case-Based Teaching in a Bilingual Context: Perceptions of Business Faculty in Hong Kong

ERIC Educational Resources Information Center

Jackson, Jane

2004-01-01

Case methods of teaching are now common in business education programs worldwide. This problem-based approach, however, can pose unique challenges in bilingual contexts, especially if the students are more familiar with transmission modes of learning. This paper focuses on an investigation of case-based teaching in Hong Kong. By way of surveys and…

Drainage network optimization for inundation mitigation case study of ITS Surabaya

NASA Astrophysics Data System (ADS)

Savitri, Yang Ratri; Lasminto, Umboro

2017-06-01

Institut Teknologi Sepuluh Nopember (ITS) Surabaya is one of engineering campus in Surabaya with an area of ± 187 ha, which consists of building and campus facilities. The campus is supported by drainage system planned according to the ITS Master Plan on 2002. The drainage system is planned with numbers of retention and detention pond based on the city concept of Zero Delta Q concept. However, in the rainy season, it frequently has inundation problems in several locations. The problems could be identified from two major sources, namely the internal campus facilities and external condition connected with the city drainage system. This paper described the capabilities of drainage network optimization to mitigate local urban drainage problem. The hydrology-hydraulic investigation was done by utilizing the Storm Water Management Model (SWMM) developed by US Environmental Protection Agency (EPA). The mitigation is based on several alternative that based on the existing condition and regarding the social problem. The study results showed that the management of the flow from external source could reduce final stored volume of the campus main channel by 31.75 %.

Functional Analyses and Treatment of Precursor Behavior

PubMed Central

Najdowski, Adel C; Wallace, Michele D; Ellsworth, Carrie L; MacAleese, Alicia N; Cleveland, Jackie M

2008-01-01

Functional analysis has been demonstrated to be an effective method to identify environmental variables that maintain problem behavior. However, there are cases when conducting functional analyses of severe problem behavior may be contraindicated. The current study applied functional analysis procedures to a class of behavior that preceded severe problem behavior (precursor behavior) and evaluated treatments based on the outcomes of the functional analyses of precursor behavior. Responding for all participants was differentiated during the functional analyses, and individualized treatments eliminated precursor behavior. These results suggest that functional analysis of precursor behavior may offer an alternative, indirect method to assess the operant function of severe problem behavior. PMID:18468282

Electronic Portfolios in Tenure and Promotion Decisions: Making a Virtual Case.

ERIC Educational Resources Information Center

Blair, Kristine

A current problem at many American universities is that tenure and promotion procedures continue to privilege print-based evidence of teaching and research productivity, or do not acknowledge the impact of technology on teaching, scholarship, and service. Despite these problems, this paper makes the case for electronic teaching portfolios as…

Shortage and surplus of water in the socio-hydrological context

NASA Astrophysics Data System (ADS)

Schumann, A.; Nijssen, d.

2014-09-01

Balancing the temporal variability of hydrological conditions in the long- and short-term is often essential for steady socio-economic conditions. However, this equilibrium is very fragile in many cases. Hydrological changes or socio-economic changes may destroy it in a short time. If we extend the bearing capacity of socio-hydrological systems we increase, in many cases, the harmful consequences of failures. Here, two case studies are discussed to illustrate these problems. The limited success at adapting water resources to increasing human requirements without consideration of the natural capacities will be discussed with the example of water use for irrigation in northeastern China. The demand for a new planning approach, which is based on a combination of monitoring, model-based impact assessments and spatial distributed planning, is demonstrated. The problems of water surplus, which becomes evident during floods, are discussed in a second case study. It is shown that flood protection depends strongly on expectations of flood characteristics. The gap between the social requirement for complete flood prevention and the remaining risk of flood damage becomes obvious. An increase of risk-awareness would be more sustainable than promises of flood protection, which are the basis for technical measures to affect floods and (or) to prevent flood damages.

A genetic algorithm for dynamic inbound ordering and outbound dispatching problem with delivery time windows

NASA Astrophysics Data System (ADS)

Kim, Byung Soo; Lee, Woon-Seek; Koh, Shiegheun

2012-07-01

This article considers an inbound ordering and outbound dispatching problem for a single product in a third-party warehouse, where the demands are dynamic over a discrete and finite time horizon, and moreover, each demand has a time window in which it must be satisfied. Replenishing orders are shipped in containers and the freight cost is proportional to the number of containers used. The problem is classified into two cases, i.e. non-split demand case and split demand case, and a mathematical model for each case is presented. An in-depth analysis of the models shows that they are very complicated and difficult to find optimal solutions as the problem size becomes large. Therefore, genetic algorithm (GA) based heuristic approaches are designed to solve the problems in a reasonable time. To validate and evaluate the algorithms, finally, some computational experiments are conducted.

Phase averaging method for the modeling of the multiprobe and cutaneous cryosurgery

NASA Astrophysics Data System (ADS)

E Shilnikov, K.; Kudryashov, N. A.; Y Gaiur, I.

2017-12-01

In this paper we consider the problem of planning and optimization of the cutaneous and multiprobe cryosurgery operations. An explicit scheme based on the finite volume approximation of phase averaged Pennes bioheat transfer model is applied. The flux relaxation method is used for the stability improvement of scheme. Skin tissue is considered as strongly inhomogeneous media. Computerized planning tool is tested on model cryotip-based and cutaneous cryosurgery problems. For the case of cutaneous cryosurgery the method of an additional freezing element mounting is studied as an approach to optimize the cellular necrosis front propagation.

A generalized rotationally symmetric case of the centroaffine Minkowski problem

NASA Astrophysics Data System (ADS)

Lu, Jian

2018-05-01

In this paper the centroaffine Minkowski problem, a critical case of the Lp-Minkowski problem in the n + 1 dimensional Euclidean space, is studied. By its variational structure and the method of blow-up analyses, we obtain two sufficient conditions for the existence of solutions, for a generalized rotationally symmetric case of the problem.

The median problems on linear multichromosomal genomes: graph representation and fast exact solutions.

PubMed

Xu, Andrew Wei

2010-09-01

In genome rearrangement, given a set of genomes G and a distance measure d, the median problem asks for another genome q that minimizes the total distance [Formula: see text]. This is a key problem in genome rearrangement based phylogenetic analysis. Although this problem is known to be NP-hard, we have shown in a previous article, on circular genomes and under the DCJ distance measure, that a family of patterns in the given genomes--represented by adequate subgraphs--allow us to rapidly find exact solutions to the median problem in a decomposition approach. In this article, we extend this result to the case of linear multichromosomal genomes, in order to solve more interesting problems on eukaryotic nuclear genomes. A multi-way capping problem in the linear multichromosomal case imposes an extra computational challenge on top of the difficulty in the circular case, and this difficulty has been underestimated in our previous study and is addressed in this article. We represent the median problem by the capped multiple breakpoint graph, extend the adequate subgraphs into the capped adequate subgraphs, and prove optimality-preserving decomposition theorems, which give us the tools to solve the median problem and the multi-way capping optimization problem together. We also develop an exact algorithm ASMedian-linear, which iteratively detects instances of (capped) adequate subgraphs and decomposes problems into subproblems. Tested on simulated data, ASMedian-linear can rapidly solve most problems with up to several thousand genes, and it also can provide optimal or near-optimal solutions to the median problem under the reversal/HP distance measures. ASMedian-linear is available at http://sites.google.com/site/andrewweixu .

A case-based assistant for clinical psychiatry expertise.

PubMed

Bichindaritz, I

1994-01-01

Case-based reasoning is an artificial intelligence methodology for the processing of empirical knowledge. Recent case-based reasoning systems also use theoretic knowledge about the domain to constrain the case-based reasoning. The organization of the memory is the key issue in case-based reasoning. The case-based assistant presented here has two structures in memory: cases and concepts. These memory structures permit it to be as skilled in problem-solving tasks, such as diagnosis and treatment planning, as in interpretive tasks, such as clinical research. A prototype applied to clinical work about eating disorders in psychiatry, reasoning from the alimentary questionnaires of these patients, is presented as an example of the system abilities.

A case study of secondary teachers facilitating a historical problem-based learning instructional unit

NASA Astrophysics Data System (ADS)

Pecore, John L.

Current curriculum trends promote inquiry-based student-centered strategies as a way to foster critical thinking and learning. Problem-based learning (PBL), a type of inquiry focusing on an issue or "problem," is an instructional approach taught on the basis that science reform efforts increase scientific literacy. PBL is a constructivist approach to learning real life problems where understanding is a function of content, context, experiences, and learner goals; historical PBL situates the lesson in a historical context and provides opportunities for teaching NOS concepts. While much research exists on the benefits of historical PBL to student learning in general, more research is warranted on how teachers implement PBL in the secondary science curriculum. The purpose of this study was to examine the classroom-learning environment of four science teachers implementing a historical PBL instructional unit to identify the teachers' understandings, successes and obstacles. By identifying teachers' possible achievements and barriers with implementing a constructivist philosophy when executing historical PBL, educators and curriculum designers may improve alignment of the learning environment to constructivist principles. A qualitative interpretive case study guided this research study. The four participants of this study were purposefully and conveniently selected from biology teachers with at least three years of teaching experience, degrees in education, State Licensure, and completion of a PBL workshop. Data collection consisted of pre and post questionnaires, structured interviews, a card sort activity in which participants categorized instructional outcomes, and participant observations. Results indicated that the four teachers assimilated reform-based constructivist practices to fit within their preexisting routines and highlighted the importance of incorporating teachers' current systems into reform-based teacher instruction. While participating teachers addressed a few NOS tenets, emphasizing the full range of possible NOS objectives included in historical PBL is warranted. This study also revealed the importance of creating a collaborative classroom culture and building positive student-teacher relationships when implementing PBL instruction. The four teachers agreed that the historical PBL instructional unit provided a context for learning state standards, and they positively viewed their experiences teaching the lesson. Thus findings from this study suggest that teaching science in a historical context using PBL can be effective.

What to Do Until the Money Runs Out: A Refinement Framework for Cognitive Engineering in the Real World

NASA Technical Reports Server (NTRS)

Shafto, Michael G.; Remington, Roger W.; Trimble, Jay W.

1994-01-01

A case study is presented to illustrate some of the problems of applying cognitive science to complex human-machine systems. Disregard for facts about human cognition often undermines the safety, reliability, and cost-effectiveness of complex systems. Yet single-point methods (for example, better user-interface design), whether rooted in computer science or in experimental psychology, fall far short of addressing systems-level problems in a timely way using realistic resources. A model-based methodology is proposed for organizing and prioritizing the cognitive engineering effort, focusing appropriate expertise on major problems first, then moving to more sophisticated refinements if time and resources permit. This case study is based on a collaborative effort between the Human Factors Division at NASA-Ames and the Spaceborne Imaging Radar SIR-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) Project at the Jet Propulsion Laboratory (JPL), California institute of Technology. The first SIR-C/X-SAR Shuttle mission flew successfully in April, 1994. A series of such missions is planned to provide radar data to study Earth's ecosystems, climatic and geological processes, hydrologic cycle, and ocean circulation. In addition to JPL and NASA personnel, the SIR-C/X-SAR operations team included Scientists and engineers from the German and Italian space agencies.

A strategy for quantum algorithm design assisted by machine learning

NASA Astrophysics Data System (ADS)

Bang, Jeongho; Ryu, Junghee; Yoo, Seokwon; Pawłowski, Marcin; Lee, Jinhyoung

2014-07-01

We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a ‘quantum student’ is being taught by a ‘classical teacher’. In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem, assisted by a classical main-feedback system. Our method is applicable for designing quantum oracle-based algorithms. We chose, as a case study, an oracle decision problem, called a Deutsch-Jozsa problem. We showed by using Monte Carlo simulations that our simulator can faithfully learn a quantum algorithm for solving the problem for a given oracle. Remarkably, the learning time is proportional to the square root of the total number of parameters, rather than showing the exponential dependence found in the classical machine learning-based method.

[The treatment of chronic wounds in the head and neck area after radiotherapy with medical honey].

PubMed

Rothmeier, N; Abu-Jawad, J; Arnolds, J; Arweiler-Harbeck, D; Dominas, N; Stein, R; Zander, S; Lang, S; Mattheis, S

2014-09-01

Wound healing problems and chronic wounds can be a therapeutic challenge are a frequent problem after radiotherapy. They can appear spontaneously or after further surgery. The permanently altered tissue is associated with recurrent bacterial infections with weeping wounds, which cannot be treated sufficiently by conventional conservative wound care. The topical application of medical honey seems to have a positive effect in such cases. The aim of this prospectively study is to check this effectiveness in the treatment of wound healing problems and chronic wounds in the head and neck area of irradiated patients. In the period of July 2012 until August 2013 nine patients were treated with medical honey. All pa-tients had previously radiotherapy in the head and neck area. 5 patients had protracted wound healing problems after salvage surgery. The remaining 4 cases had spontaneously dehiscenced wounds at the beginning of the study. The wound healing was confirmed by measurement of the wound edges and depth and by adequate photo documentation. In all cases, the conventional wound care was unsuccessfully. In 8 of 9 cases, the wounds could be brought to cure by the application of medical honey over 3-8 weeks. Side effects or allergic reactions to the medical honey were not seen in any -cases. Based on our clinical experience we believe that the topical application of medical honey in non-healing or recurrent wounds in the head and neck area after radiotherapy is a reason-able and successful alternative therapy. © Georg Thieme Verlag KG Stuttgart · New York.

Inter-Agency Approaches to the Development of a School-Based Student Health Service

ERIC Educational Resources Information Center

Harrison, Jane; Bullock, Jane

2005-01-01

Young people living in rural areas lack opportunities for accessing health advice and care without reference to a parent, carer, or other adult. In this article Jane Harrison and Jane Bullock provide the rationale for the development in 1997 of Bodyzone, a school-based health service to address this problem. Presented here as a case study,…

Rooting Out Aberrant Behavior in Training.

ERIC Educational Resources Information Center

Kokalis, Jerry, Jr.; Paquin, Dave

1989-01-01

Discusses aberrant, or disruptive, behavior in an industrial/business, classroom-based, instructor-led training setting. Three examples of aberrant behavior are described, typical case studies are provided for each, and preventive (long-term) and corrective (on-the-spot) strategies for dealing with the problems are discussed. (LRW)

Managers with Impact: Verstile and Inconsistent

ERIC Educational Resources Information Center

Skinner, Wickham; Sasser, W. Earl

1977-01-01

Based on analysis of 31 management case studies, the authors conclude that managers who are consistent in the way they tackle day-to-day problems are likely to be much less successful than managers who analyze each situation individually and adjust their approach accordingly. (Author/JG)

Evaluating the effects of real power losses in optimal power flow based storage integration

DOE PAGES

Castillo, Anya; Gayme, Dennice

2017-03-27

This study proposes a DC optimal power flow (DCOPF) with losses formulation (the `-DCOPF+S problem) and uses it to investigate the role of real power losses in OPF based grid-scale storage integration. We derive the `- DCOPF+S problem by augmenting a standard DCOPF with storage (DCOPF+S) problem to include quadratic real power loss approximations. This procedure leads to a multi-period nonconvex quadratically constrained quadratic program, which we prove can be solved to optimality using either a semidefinite or second order cone relaxation. Our approach has some important benefits over existing models. It is more computationally tractable than ACOPF with storagemore » (ACOPF+S) formulations and the provably exact convex relaxations guarantee that an optimal solution can be attained for a feasible problem. Adding loss approximations to a DCOPF+S model leads to a more accurate representation of locational marginal prices, which have been shown to be critical to determining optimal storage dispatch and siting in prior ACOPF+S based studies. Case studies demonstrate the improved accuracy of the `-DCOPF+S model over a DCOPF+S model and the computational advantages over an ACOPF+S formulation.« less

Optimal clustering of MGs based on droop controller for improving reliability using a hybrid of harmony search and genetic algorithms.

PubMed

Abedini, Mohammad; Moradi, Mohammad H; Hosseinian, S M

2016-03-01

This paper proposes a novel method to address reliability and technical problems of microgrids (MGs) based on designing a number of self-adequate autonomous sub-MGs via adopting MGs clustering thinking. In doing so, a multi-objective optimization problem is developed where power losses reduction, voltage profile improvement and reliability enhancement are considered as the objective functions. To solve the optimization problem a hybrid algorithm, named HS-GA, is provided, based on genetic and harmony search algorithms, and a load flow method is given to model different types of DGs as droop controller. The performance of the proposed method is evaluated in two case studies. The results provide support for the performance of the proposed method. Copyright © 2015 ISA. Published by Elsevier Ltd. All rights reserved.

Demonstration of a tool for automatic learning and re-use of knowledge in the activated sludge process.

PubMed

Comas, J; Rodríguez-Roda, I; Poch, M; Gernaey, K V; Rosen, C; Jeppsson, U

2006-01-01

Wastewater treatment plant operators encounter complex operational problems related to the activated sludge process and usually respond to these by applying their own intuition and by taking advantage of what they have learnt from past experiences of similar problems. However, previous process experiences are not easy to integrate in numerical control, and new tools must be developed to enable re-use of plant operating experience. The aim of this paper is to investigate the usefulness of a case-based reasoning (CBR) approach to apply learning and re-use of knowledge gained during past incidents to confront actual complex problems through the IWA/COST Benchmark protocol. A case study shows that the proposed CBR system achieves a significant improvement of the benchmark plant performance when facing a high-flow event disturbance.

Developing Environmentally Responsible Behaviours Through the Implementation of Argumentation- and Problem-Based Learning Models

NASA Astrophysics Data System (ADS)

Fettahlıoğlu, Pınar; Aydoğdu, Mustafa

2018-04-01

The purpose of this research is to investigate the effect of using argumentation and problem-based learning approaches on the development of environmentally responsible behaviours among pre-service science teachers. Experimental activities were implemented for 14 weeks for 52 class hours in an environmental education class within a science teaching department. A mixed method was used as a research design; particularly, a special type of Concurrent Nested Strategy was applied. The quantitative portion was based on the one-group pre-test and post-test models, and the qualitative portion was based on the holistic multiple-case study method. The quantitative portion of the research was conducted with 34 third-year pre-service science teachers studying at a state university. The qualitative portion of the study was conducted with six pre-service science teachers selected among the 34 pre-service science teachers based on the pre-test results obtained from an environmentally responsible behaviour scale. t tests for dependent groups were used to analyse quantitative data. Both descriptive and content analyses of the qualitative data were performed. The results of the study showed that the use of the argumentation and problem-based learning approaches significantly contributed to the development of environmentally responsible behaviours among pre-service science teachers.

Learning the Lessons of Leadership: Case Method Teaching with Interactive Computer-Based Tools and Film-Based Cases

DTIC Science & Technology

2008-03-01

report describes how the AXL system capitalizes on the best practices of traditional case method instruction and addresses some of the limitations of...system were addressed in the AXL system, producing an innovative technology solution for delivering case method instruction. Several case method best ...approaches for addressing such problems. The report also documents how case method best practices in traditional classroom environments can be translated into

Unusual masturbatory practice as an etiological factor in the diagnosis and treatment of sexual dysfunction in young men.

PubMed

Bronner, Gila; Ben-Zion, Itzhak Z

2014-07-01

Masturbation is a common sexual activity among people of all ages throughout life. It has been traditionally prohibited and judged as immoral and sinful by several religions. Although it is no longer perceived as a negative behavior, masturbation is often omitted in the diagnostic inquiry of patients with sexual problems. The aims of this study are to increase the awareness of clinicians to the importance of including questions regarding masturbatory habits in the process of sexual history taking, to analyze cases of male sexual dysfunction (SD) associated with unusual masturbatory practices, and to propose a practical tool for clinicians to diagnose and manage such problems. A clinical study of four cases that include a range of unusual masturbatory practices by young males who applied for sex therapy is described. An intervention plan involving specific questions in case history taking was devised. It was based on detailed understanding of each patient's masturbatory practice and its manifestation in his SD. Effects of identifying and altering masturbatory practices on sexual function. The four men described unusual and awkward masturbatory practices, each of which was associated with different kinds of SD. The unlearning of the masturbatory practices contributed notably to improvement of their sexual function. The four cases in this study indicate that the detailed questioning of masturbatory habits is crucial for a thorough assessment and adequate treatment of sexual problems in men. We propose specific questions on masturbatory behavior as well as a diagnostic and therapeutic flowchart for physicians and sex therapists to address those problems. © 2014 International Society for Sexual Medicine.

Utilization of health services in relation to mental health problems in adolescents: A population based survey

PubMed Central

Zachrisson, Henrik D; Rödje, Kjetil; Mykletun, Arnstein

2006-01-01

Background Only a minority of adolescents reporting symptoms above case-levels on screenings for mental health seeks and receives help from specialist health services. The objective of this study was to a) examine help-seeking for symptoms of anxiety and depression in relation to symptom load dimensionally, b) identify the level of specialization in mental health among service-providers, and c) identify associations between mental health problems and contact with different types of health services. Methods This cross-sectional school-based study (response-rate 88%, n = 11154) is based on Norwegian health surveys among 15 and 16 year olds. Results We found a dose-response association between symptom-load and help seeking. Only 34% of individuals with mental symptom-load above 99th percentile reported help-seeking in the last 12 months. Forty percent of help seekers were in contact with specialists (psychiatrists or psychologists), the remaining were mainly in contact with GPs. Mental health problems increased help seeking to all twelve service providers examined. Conclusion It might not be reasonable to argue that all adolescents with case-level mental health problems are in need of treatment. However, concerning the 99th percentile, claiming treatment need is less controversial. Even in the Norwegian context where mental health services are relatively available and free of charge, help-seeking in individuals with the highest symptom-loads is still low. Most help seekers achieved contact with health care providers, half of them at a non specialized level. Our results suggest that adolescents' recognition of mental health problems or intention to seek help for these are the major "filters" restricting treatment. PMID:16480522

Right back like we left something: examining the commodification of Blackness in social services to address racial disparities - the case of Hartford.

PubMed

Searcy, Yan

2018-05-14

Market-based approaches to addressing racial disparities have essentially re-commodified Blackness. Utilizing Hartford, which contains the largest percentage of Blacks per capita in Connecticut, this article examines market-based approaches to address racial disparities while discussing Blackness as an enduring commodity that is tied to private sector profit. The study argues that market based approaches incentivize punitive approaches to social problems associated with Blackness. The study concludes by suggesting that addressing disparities utilizing markets requires reimagining policy incentives to focus on prevention and treatment of social problems associated with Blackness. Failure to reimagine policy incentives serves to commodify Blackness whereby industries benefit from the continuity of disparities rather than the elimination of disparities.

Using Web 2.0 Tools to Facilitate Case-Based Instruction: Considering the Possibilities

ERIC Educational Resources Information Center

Koehler, Adrie A.; Ertmer, Peggy A.

2016-01-01

Case-based instruction (CBI) offers a promising method for promoting problem-solving skills in learners. However, during CBI, the instructor shoulders major responsibility for shaping the learning that takes place. Research indicates that the facilitation techniques used during case discussions influence what gets covered, and to what extent,…

A Study and Model of Operating Level Financial Management Philosophy Under RMS.

DTIC Science & Technology

The lack of financial management education has prevented base level managers from using PRIME data as intended. This study examines the Air Force...operating level financial management philosophy before and after PRIME and the environment of PRIME adoption. A model in the form of two case problems...with solutions is created to portray the financial management concepts under PRIME to help educate base level Air Force logistic managers. The model

Genetic-evolution-based optimization methods for engineering design

NASA Technical Reports Server (NTRS)

Rao, S. S.; Pan, T. S.; Dhingra, A. K.; Venkayya, V. B.; Kumar, V.

1990-01-01

This paper presents the applicability of a biological model, based on genetic evolution, for engineering design optimization. Algorithms embodying the ideas of reproduction, crossover, and mutation are developed and applied to solve different types of structural optimization problems. Both continuous and discrete variable optimization problems are solved. A two-bay truss for maximum fundamental frequency is considered to demonstrate the continuous variable case. The selection of locations of actuators in an actively controlled structure, for minimum energy dissipation, is considered to illustrate the discrete variable case.

A nonlinear bi-level programming approach for product portfolio management.

PubMed

Ma, Shuang

2016-01-01

Product portfolio management (PPM) is a critical decision-making for companies across various industries in today's competitive environment. Traditional studies on PPM problem have been motivated toward engineering feasibilities and marketing which relatively pay less attention to other competitors' actions and the competitive relations, especially in mathematical optimization domain. The key challenge lies in that how to construct a mathematical optimization model to describe this Stackelberg game-based leader-follower PPM problem and the competitive relations between them. The primary work of this paper is the representation of a decision framework and the optimization model to leverage the PPM problem of leader and follower. A nonlinear, integer bi-level programming model is developed based on the decision framework. Furthermore, a bi-level nested genetic algorithm is put forward to solve this nonlinear bi-level programming model for leader-follower PPM problem. A case study of notebook computer product portfolio optimization is reported. Results and analyses reveal that the leader-follower bi-level optimization model is robust and can empower product portfolio optimization.

Implementing augmentative and alternative communication in inclusive educational settings: a case study.

PubMed

Stoner, Julia B; Angell, Maureen E; Bailey, Rita L

2010-06-01

The purpose of this study was to describe a single case of augmentative and alternative communication (AAC) implementation. Case study methodology was used to describe the perspectives of educational team members regarding AAC implementation for Joey, a high school junior with athetoid cerebral palsy. Benefits included greater intelligibility for Joey and subsequent comfort of the staff. Facilitators of Joey's AAC system use included the team's student-focused disposition and willingness to implement use of the device, Joey's increased intelligibility, peers' acceptance of the technology, and the resulting increase in Joey's socialization. Limited team cohesiveness, problem solving, and communication were the true barriers in this case. Implications of these facilitators and barriers are discussed and recommendations for school-based AAC implementation are made.

Student perceptions of a virtual learning environment for a problem-based learning undergraduate medical curriculum.

PubMed

de Leng, Bas A; Dolmans, Diana H J M; Muijtjens, Arno M M; van der Vleuten, Cees P M

2006-06-01

To investigate the effects of a virtual learning environment (VLE) on group interaction and consultation of information resources during the preliminary phase, self-study phase and reporting phase of the problem-based learning process in an undergraduate medical curriculum. A questionnaire was administered to 355 medical students in Years 1 and 2 to ask them about the perceived usefulness of a virtual learning environment that was created with Blackboard for group interaction and the use of learning resources. The students indicated that the VLE supported face-to-face interaction in the preliminary discussion and in the reporting phase but did not stimulate computer-mediated distance interaction during the self-study phase. They perceived that the use of multimedia in case presentations led to a better quality of group discussion than if case presentations were exclusively text-based. They also indicated that the information resources that were hyperlinked in the VLE stimulated the consultation of these resources during self-study, but not during the reporting phase. Students indicated that the use of a VLE in the tutorial room and the inclusion of multimedia in case presentations supported processes of active learning in the tutorial groups. However, if we want to exploit the full potential of asynchronous computer-mediated communication to initiate in-depth discussion during the self-study phase, its application will have to be selective and deliberate. Students indicated that the links in the VLE to selected information in library repositories supported their learning.

Model-Based Prognostics of Hybrid Systems

NASA Technical Reports Server (NTRS)

Daigle, Matthew; Roychoudhury, Indranil; Bregon, Anibal

2015-01-01

Model-based prognostics has become a popular approach to solving the prognostics problem. However, almost all work has focused on prognostics of systems with continuous dynamics. In this paper, we extend the model-based prognostics framework to hybrid systems models that combine both continuous and discrete dynamics. In general, most systems are hybrid in nature, including those that combine physical processes with software. We generalize the model-based prognostics formulation to hybrid systems, and describe the challenges involved. We present a general approach for modeling hybrid systems, and overview methods for solving estimation and prediction in hybrid systems. As a case study, we consider the problem of conflict (i.e., loss of separation) prediction in the National Airspace System, in which the aircraft models are hybrid dynamical systems.

Review on the administration and effectiveness of team-based learning in medical education.

PubMed

Hur, Yera; Cho, A Ra; Kim, Sun

2013-12-01

Team-based learning (TBL) is an active learning approach. In recent years, medical educators have been increasingly using TBL in their classes. We reviewed the concepts of TBL and discuss examples of international cases. Two types of TBL are administered: classic TBL and adapted TBL. Combining TBL and problem-based learning (PBL) might be a useful strategy for medical schools. TBL is an attainable and efficient educational approach in preparing large classes with regard to PBL. TBL improves student performance, team communication skills, leadership skills, problem solving skills, and cognitive conceptual structures and increases student engagement and satisfaction. This study suggests recommendations for administering TBL effectively in medical education.

The Application of Linear and Nonlinear Water Tanks Case Study in Teaching of Process Control

NASA Astrophysics Data System (ADS)

Li, Xiangshun; Li, Zhiang

2018-02-01

In the traditional process control teaching, the importance of passing knowledge is emphasized while the development of creative and practical abilities of students is ignored. Traditional teaching methods are not very helpful to breed a good engineer. Case teaching is a very useful way to improve students’ innovative and practical abilities. In the traditional case teaching, knowledge points are taught separately based on different examples or no examples, thus it is very hard to setup the whole knowledge structure. Though all the knowledge is learned, how to use the knowledge to solve engineering problems keeps challenging for students. In this paper, the linear and nonlinear tanks are taken as illustrative examples which involves several knowledge points of process control. The application method of each knowledge point is discussed in detail and simulated. I believe the case-based study will be helpful for students.

Case-Based Learning in Virtual Groups--Collaborative Problem Solving Activities and Learning Outcomes in a Virtual Professional Training Course

ERIC Educational Resources Information Center

Kopp, Birgitta; Hasenbein, Melanie; Mandl, Heinz

2014-01-01

This article analyzes the collaborative problem solving activities and learning outcomes of five groups that worked on two different complex cases in a virtual professional training course. In this asynchronous virtual learning environment, all knowledge management content was delivered virtually and collaboration took place through forums. To…

Using an Epistemic Game to Facilitate Students' Problem-Solving: The Case of Hospitality Management

ERIC Educational Resources Information Center

Wang, Shwu-Huey; Wang, Hsiu-Yuan

2017-01-01

Hospitality students are required to be able to address challenging cases or problems in the work environment. However, traditional lecture- or exam-based instruction leaves a gap between theory and practice. On the other hand, modern youth live and socialise in an increasingly digital environment, and one of their biggest pastimes is playing…

Single-Case Analysis to Determine Reasons for Failure of Behavioral Treatment via Telehealth

ERIC Educational Resources Information Center

Schieltz, Kelly M.; Romani, Patrick W.; Wacker, David P.; Suess, Alyssa N.; Huang, Pei; Berg, Wendy K.; Lindgren, Scott D.; Kopelman, Todd G.

2018-01-01

Functional communication training (FCT) is a widely used and effective function-based treatment for problem behavior. The purpose of this article is to present two cases in which FCT was unsuccessful in reducing the occurrence of problem behavior displayed by two young children with an autism spectrum disorder. Both children received the same…

Selection bias in population-based cancer case-control studies due to incomplete sampling frame coverage.

PubMed

Walsh, Matthew C; Trentham-Dietz, Amy; Gangnon, Ronald E; Nieto, F Javier; Newcomb, Polly A; Palta, Mari

2012-06-01

Increasing numbers of individuals are choosing to opt out of population-based sampling frames due to privacy concerns. This is especially a problem in the selection of controls for case-control studies, as the cases often arise from relatively complete population-based registries, whereas control selection requires a sampling frame. If opt out is also related to risk factors, bias can arise. We linked breast cancer cases who reported having a valid driver's license from the 2004-2008 Wisconsin women's health study (N = 2,988) with a master list of licensed drivers from the Wisconsin Department of Transportation (WDOT). This master list excludes Wisconsin drivers that requested their information not be sold by the state. Multivariate-adjusted selection probability ratios (SPR) were calculated to estimate potential bias when using this driver's license sampling frame to select controls. A total of 962 cases (32%) had opted out of the WDOT sampling frame. Cases age <40 (SPR = 0.90), income either unreported (SPR = 0.89) or greater than $50,000 (SPR = 0.94), lower parity (SPR = 0.96 per one-child decrease), and hormone use (SPR = 0.93) were significantly less likely to be covered by the WDOT sampling frame (α = 0.05 level). Our results indicate the potential for selection bias due to differential opt out between various demographic and behavioral subgroups of controls. As selection bias may differ by exposure and study base, the assessment of potential bias needs to be ongoing. SPRs can be used to predict the direction of bias when cases and controls stem from different sampling frames in population-based case-control studies.

A Case Study of Teachers' Perceptions of Change and Change Implementation at a Rural Public School

ERIC Educational Resources Information Center

Irvin, Jennifer Beckum

2010-01-01

With demands for producing results in education, the problem for many teachers is accepting and implementing mandated changes. This study sought to determine the relationship between high school teachers' perceptions of change and change implementation at a rural high school in a southeastern US state. This study was based on planned behavior…

Networks Analysis of a Regional Ecosystem of Afterschool Programs

ERIC Educational Resources Information Center

Russell, Martha G.; Smith, Marc A.

2011-01-01

Case studies have documented the impact of family-school-community collaboration in afterschool programs on increasing awareness about the problems of at-risk youth, initiating dialogue among leaders and community representatives, developing rich school-based information systems, and demonstrating how to build strong relationships between public…

Stability of stationary solutions for inflow problem on the micropolar fluid model

NASA Astrophysics Data System (ADS)

Yin, Haiyan

2017-04-01

In this paper, we study the asymptotic behavior of solutions to the initial boundary value problem for the micropolar fluid model in a half-line R+:=(0,∞). We prove that the corresponding stationary solutions of the small amplitude to the inflow problem for the micropolar fluid model are time asymptotically stable under small H1 perturbations in both the subsonic and degenerate cases. The microrotation velocity brings us some additional troubles compared with Navier-Stokes equations in the absence of the microrotation velocity. The proof of asymptotic stability is based on the basic energy method.

A Case Study: The Implementation of a Problem-Solving Model with a Student with Reading Difficulties in Turkey

ERIC Educational Resources Information Center

Ozmen, E. Ruya; Doganay-Bilgi, Arzu

2016-01-01

The purpose of this case study was to improve the reading accuracy and reading comprehension of a 10-year-old fourth-grade female student with reading difficulties. For that purpose, the problem- solving model was implemented in four stages. These stages included problem identification, problem analysis, intervention, and evaluation. During the…

[60 years of the equilibrium theory of insular biogeography: problems of testing, results of the field studies, applied importance].

PubMed

Akatov, V V

2012-01-01

A review is presented of publications dealing with analysis of species richness of island biological communities and habitat islands based on the equilibrium theory of insular biogeography by MacArthur and Wilson (1963). Principal points of the theory are considered along with its shortcomings, problems and results of its testing. Also, possibilities are appraised for using recommendations elaborated on the base of the theory in nature conservation practice. The results of island and habitat island biota studies indicate that in many cases data corroborate the equilibrium theory while in many other cases they do not. In particular, for cenoses fragmented 50-250 years ago, especially for the ones formed by long living species, there have been no conspicuous effects of species relaxation detected. At that, the theory prediction of substantial reduction in species richness of fragmented communities in the long run is hardly disputed. The results of studies conducted in the field of insular biogeography are taken as a basis for recommendations on the long-term conservation of isolated communities integrity, although mostly they are of qualitative nature.

A comparison of students who chose a traditional or a problem-based learning curriculum after failing year 2 in the traditional curriculum: a unique case study at the Nelson R. Mandela School of Medicine.

PubMed

McLean, Michelle

2004-01-01

To canvas perceptions and experiences of students who had failed Year 2 of a traditional medical program and who chose to remain in the conventional program (n = 6) or had swapped to Curriculum 2001 (C2001), a problem-based learning (PBL) curriculum (n = 14). A year after their decision regarding curriculum choice, students were canvassed (largely open-ended survey) about this decision and about their perceptions of their curricular experiences. C2001 students were positive about their PBL experiences. Overwhelmingly, their decision to swap streams had been a good one. They identified PBL features as supporting their learning. Repeating traditional curriculum students were, however, more circumspect in their opinions. C2001 students had clearly embraced PBL. They were now medical students, largely because of PBL activities underpinned by a sound educational philosophy. This unique case study has provided additional evidence that PBL students are generally more content with their studies than their conventional curriculum counterparts.

Feasibility Study of Case-Finding for Breast Cancer by Community Health Workers in Rural Bangladesh.

PubMed

Chowdhury, Touhidul Imran; Love, Richard Reed; Chowdhury, Mohammad Touhidul Imran; Artif, Abu Saeem; Ahsan, Hasib; Mamun, Anwarul; Khanam, Tahmina; Woods, James; Salim, Reza

2015-01-01

Mortality from breast cancer is high in low- and middle-income countries, in part because most patients have advanced stage disease when first diagnosed. Case-finding may be one approach to changing this situation. We conducted a pilot study to explore the feasibility of population-based case finding for breast cancer by community health workers (CHWs) using different data collection methods and approaches to management of women found to have breast abnormalities. After training 8 CHWs in breast problem recognition, manual paper data collection and operation of a cell-phone software platform for reporting demographic, history and physical finding information, these CHWs visited 3150 women >age 18 and over they could find--from 2356 households in 8 villages in rural Bangladesh. By 4 random assignments of villages, data were collected manually (Group 1), or with the cell-phone program alone (Group 2) or with management algorithms (Groups 3 and 4), and women adjudged to have a serious breast problem were shown a motivational video (Group 3), or navigated/accompanied to a breast problem center for evaluation (Group 4). Only three visited women refused evaluation. The manual data acquisition group (1) had missing data in 80% of cases, and took an average of 5 minutes longer to acquire, versus no missing data in the cell phone-reporting groups (2,3 and 4). One woman was identified with stage III breast cancer, and was appropriately treated. Among very poor rural Bangladeshi women, there was very limited reluctance to undergo breast evaluation. The estimated rarity of clinical breast cancer is supported by these population-based findings. The feasibility and efficient use of mobile technology in this setting is supported. Successor studies may most appropriately be trials focusing on improving the suggested benefits of motivation and navigation, on increasing the numbers of cases found, and on stage of disease at diagnosis as the primary endpoint.

Understanding ill-structured engineering ethics problems through a collaborative learning and argument visualization approach.

PubMed

Hoffmann, Michael; Borenstein, Jason

2014-03-01

As a committee of the National Academy of Engineering recognized, ethics education should foster the ability of students to analyze complex decision situations and ill-structured problems. Building on the NAE's insights, we report about an innovative teaching approach that has two main features: first, it places the emphasis on deliberation and on self-directed, problem-based learning in small groups of students; and second, it focuses on understanding ill-structured problems. The first innovation is motivated by an abundance of scholarly research that supports the value of deliberative learning practices. The second results from a critique of the traditional case-study approach in engineering ethics. A key problem with standard cases is that they are usually described in such a fashion that renders the ethical problem as being too obvious and simplistic. The practitioner, by contrast, may face problems that are ill-structured. In the collaborative learning environment described here, groups of students use interactive and web-based argument visualization software called "AGORA-net: Participate - Deliberate!". The function of the software is to structure communication and problem solving in small groups. Students are confronted with the task of identifying possible stakeholder positions and reconstructing their legitimacy by constructing justifications for these positions in the form of graphically represented argument maps. The argument maps are then presented in class so that these stakeholder positions and their respective justifications become visible and can be brought into a reasoned dialogue. Argument mapping provides an opportunity for students to collaborate in teams and to develop critical thinking and argumentation skills.

Bringing Lean Six Sigma to the Supply Chain Classroom: A Problem-Based Learning Case

ERIC Educational Resources Information Center

Miller, Keith E.; Hill, Craig; Miller, Antoinette R.

2016-01-01

The article describes a project that employs problem-based learning (PBL) to teach the Lean Six Sigma (LSS) methodology as part of an undergraduate or graduate business course. It is scalable to a variety of course delivery and schedule formats, and uses data sets that can create distinct problem-solving scenarios for up to 16 student teams. It…

Anonymity and Historical-Anonymity in Location-Based Services

NASA Astrophysics Data System (ADS)

Bettini, Claudio; Mascetti, Sergio; Wang, X. Sean; Freni, Dario; Jajodia, Sushil

The problem of protecting user’s privacy in Location-Based Services (LBS) has been extensively studied recently and several defense techniques have been proposed. In this contribution, we first present a categorization of privacy attacks and related defenses. Then, we consider the class of defense techniques that aim at providing privacy through anonymity and in particular algorithms achieving “historical k- anonymity” in the case of the adversary obtaining a trace of requests recognized as being issued by the same (anonymous) user. Finally, we investigate the issues involved in the experimental evaluation of anonymity based defense techniques; we show that user movement simulations based on mostly random movements can lead to overestimate the privacy protection in some cases and to overprotective techniques in other cases. The above results are obtained by comparison to a more realistic simulation with an agent-based simulator, considering a specific deployment scenario.

Problem-Based Educational Environments: A Case Study in e-Commerce and Business Planning

ERIC Educational Resources Information Center

Megalakaki, Olga; Sotiriou, Sofoklis; Savas, Stavros; Manoussakis, Yannis

2012-01-01

Introduction: The purpose of the present study was to explore the educational and cognitive aspects of an innovative approach to Internet use within an interdisciplinary, integrated framework for activities set up to enable students to acquire knowledge informally. These activities had the potential to provide real-world results through a model…

Creating Economic Lift: Jobs, Training, and Business Opportunities in Public and Indian Housing.

ERIC Educational Resources Information Center

Watkins, Dan

This document contains 10 case studies that examine community-based efforts to improve the economies and provide jobs in public and Indian housing communities. The innovative approaches described in the studies indicate the potential of local communities to address their most serious problems. The models have several common threads: creative and…

Elameer-Idrus Orbital E-Education Framework for the University of Mustansiriyah (Uomust)

ERIC Educational Resources Information Center

Elameer, Amer Saleem; Idrus, Rozhan M.

2011-01-01

The study of the university of Mustansiriyah case show us very clear that university suffers from a lot of problems start from the security, technology, management, pedagogical and ethical. Based on a pre-questionnaire survey about e-learning results, interviews and studies show us the need to the complete e-education system. Continuous scrutiny…

Chinese International Students' and Faculty Members' Views of Plagiarism in Higher Education

ERIC Educational Resources Information Center

Grigg, Alan

2016-01-01

As the enrollment of Chinese international students (CIS) increased at a private institution in the Midwest, so did suspected cases of plagiarism. This study addressed the problem of how faculty members grappled with CIS' interpretation and application of Western-based views of plagiarism. The purpose of the study was to identify similarities and…

Secondary School Teachers' Perception of Corporal Punishment: A Case Study in India

ERIC Educational Resources Information Center

Cheruvalath, Reena; Tripathi, Medha

2015-01-01

This article examines secondary school teachers' perceptions of corporal punishment in India. Although it has been banned in Indian schools, various types of corporal punishment are still used by teachers. It has been mainly used as a mechanism for controlling disciplinary problems in schools. Based on a pilot study of 160 secondary teachers, the…

Female Teachers' Perceptions of Quality Education for Adolescent Girls in Rural Bangladesh: A Case Study

ERIC Educational Resources Information Center

Rahim, Nasreen

2017-01-01

The education of adolescent girls in Bangladesh must be pursued with the right combination of technology, practicality, and cultural sensitivity to achieve, among other objectives, the objectives of Millennium Development Goals (MDGs). The problem this study address is despite the availability of mobile-based curricula, such as video, mobile…

A population-based case-control study of cancer of the bile ducts and gallbladder in Quebec, Canada.

PubMed

Ghadirian, P; Simard, A; Baillargeon, J

1993-01-01

In a population-based case-control study of pancreatic cancer in Greater Montreal between 1984 and 1988, a total of 24 patients with cancer of the bile ducts and 33 patients suffering from cancer of the gallbladder were compared to 239 population-based controls. This study was part of the SEARCH program of the International Agency for Research on Cancer. In cases of cancer of the bile ducts, smoking nonfiltered cigarettes produced a relative risk of 2.82 and a 95% confidence interval of 1.01-7.86 after adjustment for age, sex, other smoking habits, alcohol consumption, schooling, and respondent status. Laxative intake was associated with a risk of 2.87 (1.00-8.22). Coffee drinkers were collectively at lower risk than non-drinkers: OR = 0.26 (0.07-0.95). In patients with cancer of the gallbladder, constipation was related to a risk of 3.19 (1.02-9.95) after adjustment for the same factors. In cases with previous gallbladder problems, the risk was found to be significant [OR = 7.96 (2.03-31.2)], 8 times greater in cases than in controls.

Determination of the thermal stress wave propagation in orthotropic hollow cylinder based on classical theory of thermoelasticity

NASA Astrophysics Data System (ADS)

Shahani, Amir Reza; Sharifi Torki, Hamid

2018-01-01

The thermoelasticity problem in a thick-walled orthotropic hollow cylinder is solved analytically using finite Hankel transform and Laplace transform. Time-dependent thermal and mechanical boundary conditions are applied on the inner and the outer surfaces of the cylinder. For solving the energy equation, the temperature itself is considered as boundary condition to be applied on both the inner and the outer surfaces of the orthotropic cylinder. Two different cases are assumed for solving the equation of motion: traction-traction problem (tractions are prescribed on both the inner and the outer surfaces) and traction-displacement (traction is prescribed on the inner surface and displacement is prescribed on the outer surface of the hollow orthotropic cylinder). Due to considering uncoupled theory, after obtaining temperature distribution, the dynamical structural problem is solved and closed-form relations are derived for radial displacement, radial and hoop stress. As a case study, exponentially decaying temperature with respect to time is prescribed on the inner surface of the cylinder and the temperature of the outer surface is considered to be zero. Owing to solving dynamical problem, the stress wave propagation and its reflections were observed after plotting the results in both cases.

Sequential ensemble-based optimal design for parameter estimation: SEQUENTIAL ENSEMBLE-BASED OPTIMAL DESIGN

DOE Office of Scientific and Technical Information (OSTI.GOV)

Man, Jun; Zhang, Jiangjiang; Li, Weixuan

2016-10-01

The ensemble Kalman filter (EnKF) has been widely used in parameter estimation for hydrological models. The focus of most previous studies was to develop more efficient analysis (estimation) algorithms. On the other hand, it is intuitively understandable that a well-designed sampling (data-collection) strategy should provide more informative measurements and subsequently improve the parameter estimation. In this work, a Sequential Ensemble-based Optimal Design (SEOD) method, coupled with EnKF, information theory and sequential optimal design, is proposed to improve the performance of parameter estimation. Based on the first-order and second-order statistics, different information metrics including the Shannon entropy difference (SD), degrees ofmore » freedom for signal (DFS) and relative entropy (RE) are used to design the optimal sampling strategy, respectively. The effectiveness of the proposed method is illustrated by synthetic one-dimensional and two-dimensional unsaturated flow case studies. It is shown that the designed sampling strategies can provide more accurate parameter estimation and state prediction compared with conventional sampling strategies. Optimal sampling designs based on various information metrics perform similarly in our cases. The effect of ensemble size on the optimal design is also investigated. Overall, larger ensemble size improves the parameter estimation and convergence of optimal sampling strategy. Although the proposed method is applied to unsaturated flow problems in this study, it can be equally applied in any other hydrological problems.« less

Genotyping and inflated type I error rate in genome-wide association case/control studies

PubMed Central

Sampson, Joshua N; Zhao, Hongyu

2009-01-01

Background One common goal of a case/control genome wide association study (GWAS) is to find SNPs associated with a disease. Traditionally, the first step in such studies is to assign a genotype to each SNP in each subject, based on a statistic summarizing fluorescence measurements. When the distributions of the summary statistics are not well separated by genotype, the act of genotype assignment can lead to more potential problems than acknowledged by the literature. Results Specifically, we show that the proportions of each called genotype need not equal the true proportions in the population, even as the number of subjects grows infinitely large. The called genotypes for two subjects need not be independent, even when their true genotypes are independent. Consequently, p-values from tests of association can be anti-conservative, even when the distributions of the summary statistic for the cases and controls are identical. To address these problems, we propose two new tests designed to reduce the inflation in the type I error rate caused by these problems. The first algorithm, logiCALL, measures call quality by fully exploring the likelihood profile of intensity measurements, and the second algorithm avoids genotyping by using a likelihood ratio statistic. Conclusion Genotyping can introduce avoidable false positives in GWAS. PMID:19236714

The discovery of drug-induced illness.

PubMed

Jick, H

1977-03-03

The increased use of drugs (and the concurrent increased risks of drug-induced illness) require definition of relevant research areas and strategy. For established marketed drugs, research needs depend on the magnitudes of risk of an illness from a drug and the base-line risk. With the drug risk high and the base-line risk low, the problem surfaces in premarketing studies or through the epidemic that develops after marketing. If the drug adds slightly to a high base-line risk, the effect is undetectable. When both risks are low, adverse effects can be discovered by chance, but systematic case-referent studies can speed discovery. If both risks are high, clinical trials and nonexperimental studies may be used. With both risks intermediate, systematic evaluations, especially case-referent studies are needed. Newly marketed drugs should be routinely evaluated through compulsory registration and follow-up study of the earliest users.

A case-based, small-group cooperative learning course in preclinical veterinary science aimed at bridging basic science and clinical literacy.

PubMed

Schoeman, J P; van Schoor, M; van der Merwe, L L; Meintjes, R A

2009-03-01

In 1999 a dedicated problem-based learning course was introduced into the lecture-based preclinical veterinary curriculum of the University of Pretoria. The Introduction to Clinical Studies Course combines traditional lectures, practical sessions, student self-learning and guided tutorials. The self-directed component of the course utilises case-based, small-group cooperative learning as an educational vehicle to link basic science with clinical medicine. The aim of this article is to describe the objectives and structure of the course and to report the results of the assessment of the students' perceptions on some aspects of the course. Students reacted very positively to the ability of the course to equip them with problem-solving skills. Students indicated positive perceptions about the workload of the course. There were, however, significantly lower scores for the clarity of the course objectives. Although the study guide for the course is very comprehensive, the practice regarding the objectives is still uncertain. It is imperative to set clear objectives in non-traditional, student-centred courses. The objectives have to be explained at the outset and reiterated throughout the course. Tutors should also communicate the rationale behind problem-based learning as a pedagogical method to the students. Further research is needed to verify the effectiveness of this course in bridging the gap between basic science and clinical literacy in veterinary science. Ongoing feedback and assessment of the management and content are important to refine this model for integrating basic science with clinical literacy.

Radiology Reporting System Data Exchange With the Electronic Health Record System: A Case Study in Iran.

PubMed

Ahmadi, Maryam; Ghazisaeidi, Marjan; Bashiri, Azadeh

2015-03-18

In order to better designing of electronic health record system in Iran, integration of health information systems based on a common language must be done to interpret and exchange this information with this system is required. This study provides a conceptual model of radiology reporting system using unified modeling language. The proposed model can solve the problem of integration this information system with the electronic health record system. By using this model and design its service based, easily connect to electronic health record in Iran and facilitate transfer radiology report data. This is a cross-sectional study that was conducted in 2013. The study population was 22 experts that working at the Imaging Center in Imam Khomeini Hospital in Tehran and the sample was accorded with the community. Research tool was a questionnaire that prepared by the researcher to determine the information requirements. Content validity and test-retest method was used to measure validity and reliability of questioner respectively. Data analyzed with average index, using SPSS. Also Visual Paradigm software was used to design a conceptual model. Based on the requirements assessment of experts and related texts, administrative, demographic and clinical data and radiological examination results and if the anesthesia procedure performed, anesthesia data suggested as minimum data set for radiology report and based it class diagram designed. Also by identifying radiology reporting system process, use case was drawn. According to the application of radiology reports in electronic health record system for diagnosing and managing of clinical problem of the patient, with providing the conceptual Model for radiology reporting system; in order to systematically design it, the problem of data sharing between these systems and electronic health records system would eliminate.

Ant colony optimization algorithm for interpretable Bayesian classifiers combination: application to medical predictions.

PubMed

Bouktif, Salah; Hanna, Eileen Marie; Zaki, Nazar; Abu Khousa, Eman

2014-01-01

Prediction and classification techniques have been well studied by machine learning researchers and developed for several real-word problems. However, the level of acceptance and success of prediction models are still below expectation due to some difficulties such as the low performance of prediction models when they are applied in different environments. Such a problem has been addressed by many researchers, mainly from the machine learning community. A second problem, principally raised by model users in different communities, such as managers, economists, engineers, biologists, and medical practitioners, etc., is the prediction models' interpretability. The latter is the ability of a model to explain its predictions and exhibit the causality relationships between the inputs and the outputs. In the case of classification, a successful way to alleviate the low performance is to use ensemble classiers. It is an intuitive strategy to activate collaboration between different classifiers towards a better performance than individual classier. Unfortunately, ensemble classifiers method do not take into account the interpretability of the final classification outcome. It even worsens the original interpretability of the individual classifiers. In this paper we propose a novel implementation of classifiers combination approach that does not only promote the overall performance but also preserves the interpretability of the resulting model. We propose a solution based on Ant Colony Optimization and tailored for the case of Bayesian classifiers. We validate our proposed solution with case studies from medical domain namely, heart disease and Cardiotography-based predictions, problems where interpretability is critical to make appropriate clinical decisions. The datasets, Prediction Models and software tool together with supplementary materials are available at http://faculty.uaeu.ac.ae/salahb/ACO4BC.htm.

A Logic-Based Psychotherapy Approach to Treating Patients Which Focuses on Faultless Logical Functioning: A Case Study Method

PubMed Central

Almeida, Fernando; Moreira, Diana

2017-01-01

Many clinical patients present to mental health clinics with depressive symptoms, anxiety, psychosomatic complaints, and sleeping problems. These symptoms which originated may originate from marital problems, conflictual interpersonal relationships, problems in securing work, and housing issues, among many others. These issues might interfere which underlie the difficulties that with the ability of the patients face in maintaining faultless logical reasoning (FLR) and faultless logical functioning (FLF). FLR implies to assess correctly premises, rules, and conclusions. And FLF implies assessing not only FLR, but also the circumstances, life experience, personality, events that validate a conclusion. Almost always, the symptomatology is accompanied by intense emotional changes. Clinical experience shows that a logic-based psychotherapy (LBP) approach is not practiced, and that therapists’ resort to psychopharmacotherapy or other types of psychotherapeutic approaches that are not focused on logical reasoning and, especially, logical functioning. Because of this, patients do not learn to overcome their reasoning and functioning errors. The aim of this work was to investigate how LBP works to improve the patients’ ability to think and function in a faultless logical way. This work describes the case studies of three patients. For this purpose we described the treatment of three patients. With this psychotherapeutic approach, patients gain knowledge that can then be applied not only to the issues that led them to the consultation, but also to other problems they have experienced, thus creating a learning experience and helping to prevent such patients from becoming involved in similar problematic situations. This highlights that LBP is a way of treating symptoms that interfere on some level with daily functioning. This psychotherapeutic approach is relevant for improving patients’ quality of life, and it fills a gap in the literature by describing original case analyses. PMID:29312088

The modeler's influence on calculated solubilities for performance assessments at the Aspo Hard-rock Laboratory

USGS Publications Warehouse

Ernren, A.T.; Arthur, R.; Glynn, P.D.; McMurry, J.

1999-01-01

Four researchers were asked to provide independent modeled estimates of the solubility of a radionuclide solid phase, specifically Pu(OH)4, under five specified sets of conditions. The objectives of the study were to assess the variability in the results obtained and to determine the primary causes for this variability.In the exercise, modelers were supplied with the composition, pH and redox properties of the water and with a description of the mineralogy of the surrounding fracture system A standard thermodynamic data base was provided to all modelers. Each modeler was encouraged to use other data bases in addition to the standard data base and to try different approaches to solving the problem.In all, about fifty approaches were used, some of which included a large number of solubility calculations. For each of the five test cases, the calculated solubilities from different approaches covered several orders of magnitude. The variability resulting from the use of different thermodynamic data bases was in most cases, far smaller than that resulting from the use of different approaches to solving the problem.

[Application of case-based method in genetics and eugenics teaching].

PubMed

Li, Ya-Xuan; Zhao, Xin; Zhang, Fei-Xiong; Hu, Ying-Kao; Yan, Yue-Ming; Cai, Min-Hua; Li, Xiao-Hui

2012-05-01

Genetics and Eugenics is a cross-discipline between genetics and eugenics. It is a common curriculum in many Chinese universities. In order to increase the learning interest, we introduced case teaching method and got a better teaching effect. Based on our teaching practices, we summarized some experiences about this subject. In this article, the main problem of case-based method applied in Genetics and Eugenics teaching was discussed.

An integrated hypnotherapeutic model for the treatment of childhood sexual trauma: a case study.

PubMed

Fourie, Gerda; Guse, Tharina

2011-01-01

Sexual abuse appears to constitute a major risk factor for a variety of problems in adult life. The effects of abuse on adult living are not uniform therefore intervention strategies should be individualized to address unique symptom constellations. The purpose of this paper is to introduce an integrated Ericksonian and Ego state therapy approach, based on a strengths perspective for the treatment of survivors of childhood sexual abuse. The theoretical foundation for this model is described, followed by a case study. The case study demonstrates how application of this model enabled the client to resolve the experience of sexual abuse, as well as to enhance her sense of general psychological well-being.

Analytical approximation schemes for solving exact renormalization group equations in the local potential approximation

NASA Astrophysics Data System (ADS)

Bervillier, C.; Boisseau, B.; Giacomini, H.

2008-02-01

The relation between the Wilson-Polchinski and the Litim optimized ERGEs in the local potential approximation is studied with high accuracy using two different analytical approaches based on a field expansion: a recently proposed genuine analytical approximation scheme to two-point boundary value problems of ordinary differential equations, and a new one based on approximating the solution by generalized hypergeometric functions. A comparison with the numerical results obtained with the shooting method is made. A similar accuracy is reached in each case. Both two methods appear to be more efficient than the usual field expansions frequently used in the current studies of ERGEs (in particular for the Wilson-Polchinski case in the study of which they fail).

An Ecological Approach to the On-Line Assessment of Problem-Solving Paths: Principles and Applications.

ERIC Educational Resources Information Center

Shaw, Robert E.; And Others

1997-01-01

Proposes a theoretical framework for designing online-situated assessment tools for multimedia instructional systems. Uses a graphic method based on ecological psychology to monitor student performance through a learning activity. Explores the method's feasibility in case studies describing instructional systems teaching critical-thinking and…

Effective Prototype Costing Policies in Research Universities: Are They Possible?

ERIC Educational Resources Information Center

McClure, Maureen W.; Abu-Duhou, Ibtisam

Policy problems of prototype costing at research universities are discussed, based on a case study of a clinical treatment prototype program at a research university hospital. Prototypes programs generate reproducible knowledge with useful applications and are primarily developed in professional schools. The potential of using costing prototypes…

Quantitative Courses in a Liberal Education Program: A Case Study

ERIC Educational Resources Information Center

Wismath, Shelly L.; Mackay, D. Bruce

2012-01-01

This essay argues for the importance of quantitative reasoning skills as part of a liberal education and describes the successful introduction of a mathematics-based quantitative skills course at a small Canadian university. Today's students need quantitative problem-solving skills, to function as adults, professionals, consumers, and citizens in…

Confidence as a barrier to the use of problem-based learning in veterinary undergraduate students.

PubMed

Tarlinton, Rachael E; Yon, Lisa; Klisch, Karl; Tötemeyer, Sabine; Gough, Kevin C

2011-01-01

Problem-based or case-based learning is a popular method of instruction in clinical degrees such as veterinary science, nursing, and medicine. It is difficult, however, for students to adapt to this learning method, and this difficulty has been well described. The present study surveyed first-year undergraduate veterinary students at the University of Nottingham about the challenges they faced upon beginning problem-based learning sessions. A surprisingly large percentage of students (36% of females and 38% of males) reported a lack of confidence in speaking in front of the other students as a concern they experienced during their first term. Conversely, only 10% of the female students (and none of the male students) reported overconfidence as a problem. This is in contrast to the perceptions of the staff members who facilitated the sessions who reported that 14% of the students exhibited underconfidence and 14% exhibited overconfidence. The difference between the female and male students' responses as well as the difference between the perceptions of students and those of facilitators is statistically significant (G-test p<.05).

Violations of Assumptions in School-Based Single-Case Data: Implications for the Selection and Interpretation of Effect Sizes.

PubMed

Solomon, Benjamin George

2014-07-01

A wide variety of effect sizes (ESs) has been used in the single-case design literature. Several researchers have "stress tested" these ESs by subjecting them to various degrees of problem data (e.g., autocorrelation, slope), resulting in the conditions by which different ESs can be considered valid. However, on the back end, few researchers have considered how prevalent and severe these problems are in extant data and as a result, how concerned applied researchers should be. The current study extracted and aggregated indicators of violations of normality and independence across four domains of educational study. Significant violations were found in total and across fields, including low levels of autocorrelation and moderate levels of absolute trend. These violations affect the selection and interpretation of ESs at the individual study level and for meta-analysis. Implications and recommendations are discussed. © The Author(s) 2013.

Recycling behaviour in healthcare: waste handling at work.

PubMed

Vogt, Joachim; Nunes, Katia R A

2014-01-01

This article reviews the motivational factors for environmental behaviour in general, presenting a case study on recycling disposable plastics in hospitals. Results show that 90% of over 600 employees from six analysed hospitals in Germany reported that the recycling of disposable plastics on the wards makes sense from an environmental and economic point of view. The case study reports an assessment of recycling attitudes and problems of hospital staff, mainly nurses. Employees in eco-certified hospitals were much more satisfied and reported fewer problems with the recycling system. The gender effect was significant only for saving energy, while age correlated with nearly all reported pro-environmental behaviour at home. At work, the mere introduction of a recycling system was insufficient to achieve good recycling results. Based on the study findings, recommendations are given aimed at improving the safety and sustainability of the recycling system.

Class and Home Problems. The Lambert W Function in Ultrafiltration and Diafiltration

ERIC Educational Resources Information Center

Foley, Greg

2016-01-01

Novel analytical solutions based on the Lambert W function for two problems in ultrafiltration and diafiltration are described. Example problems, suitable for incorporation into an introductory module in unit operations, membrane processing, or numerical methods are provided in each case.

Uncertainty management by relaxation of conflicting constraints in production process scheduling

NASA Technical Reports Server (NTRS)

Dorn, Juergen; Slany, Wolfgang; Stary, Christian

1992-01-01

Mathematical-analytical methods as used in Operations Research approaches are often insufficient for scheduling problems. This is due to three reasons: the combinatorial complexity of the search space, conflicting objectives for production optimization, and the uncertainty in the production process. Knowledge-based techniques, especially approximate reasoning and constraint relaxation, are promising ways to overcome these problems. A case study from an industrial CIM environment, namely high-grade steel production, is presented to demonstrate how knowledge-based scheduling with the desired capabilities could work. By using fuzzy set theory, the applied knowledge representation technique covers the uncertainty inherent in the problem domain. Based on this knowledge representation, a classification of jobs according to their importance is defined which is then used for the straightforward generation of a schedule. A control strategy which comprises organizational, spatial, temporal, and chemical constraints is introduced. The strategy supports the dynamic relaxation of conflicting constraints in order to improve tentative schedules.

Identifying and individuating cognitive systems: a task-based distributed cognition alternative to agent-based extended cognition.

PubMed

Davies, Jim; Michaelian, Kourken

2016-08-01

This article argues for a task-based approach to identifying and individuating cognitive systems. The agent-based extended cognition approach faces a problem of cognitive bloat and has difficulty accommodating both sub-individual cognitive systems ("scaling down") and some supra-individual cognitive systems ("scaling up"). The standard distributed cognition approach can accommodate a wider variety of supra-individual systems but likewise has difficulties with sub-individual systems and faces the problem of cognitive bloat. We develop a task-based variant of distributed cognition designed to scale up and down smoothly while providing a principled means of avoiding cognitive bloat. The advantages of the task-based approach are illustrated by means of two parallel case studies: re-representation in the human visual system and in a biomedical engineering laboratory.

[Study on the automatic parameters identification of water pipe network model].

PubMed

Jia, Hai-Feng; Zhao, Qi-Feng

2010-01-01

Based on the problems analysis on development and application of water pipe network model, the model parameters automatic identification is regarded as a kernel bottleneck of model's application in water supply enterprise. The methodology of water pipe network model parameters automatic identification based on GIS and SCADA database is proposed. Then the kernel algorithm of model parameters automatic identification is studied, RSA (Regionalized Sensitivity Analysis) is used for automatic recognition of sensitive parameters, and MCS (Monte-Carlo Sampling) is used for automatic identification of parameters, the detail technical route based on RSA and MCS is presented. The module of water pipe network model parameters automatic identification is developed. At last, selected a typical water pipe network as a case, the case study on water pipe network model parameters automatic identification is conducted and the satisfied results are achieved.

Infrared radiative energy transfer in gaseous systems

NASA Technical Reports Server (NTRS)

Tiwari, Surendra N.

1991-01-01

Analyses and numerical procedures are presented to investigate the radiative interactions in various energy transfer processes in gaseous systems. Both gray and non-gray radiative formulations for absorption and emission by molecular gases are presented. The gray gas formulations are based on the Planck mean absorption coefficient and the non-gray formulations are based on the wide band model correlations for molecular absorption. Various relations for the radiative flux and divergence of radiative flux are developed. These are useful for different flow conditions and physical problems. Specific plans for obtaining extensive results for different cases are presented. The procedure developed was applied to several realistic problems. Results of selected studies are presented.

The Use of Business Case Studies in Business German Classes.

ERIC Educational Resources Information Center

Schutte, Lilith

The use of business case studies, defined as sophisticated models that present practical business problems and theoretical guidelines that can be used to solve the problems, is discussed. It is suggested that the main advantages of case studies are that they are usually more interesting to read than theoretical materials and they encourage student…

Locating, characterizing and minimizing sources of error for a paper case-based structured oral examination in a multi-campus clerkship.

PubMed

Kumar, A; Bridgham, R; Potts, M; Gushurst, C; Hamp, M; Passal, D

2001-01-01

To determine consistency of assessment in a new paper case-based structured oral examination in a multi-community pediatrics clerkship, and to identify correctable problems in the administration of examination and assessment process. Nine paper case-based oral examinations were audio-taped. From audio-tapes five community coordinators scored examiner behaviors and graded student performance. Correlations among examiner behaviors scores were examined. Graphs identified grading patterns of evaluators. The effect of exam-giving on evaluators was assessed by t-test. Reliability of grades was calculated and the effect of reducing assessment problems was modeled. Exam-givers differed most in their "teaching-guiding" behavior, and this negatively correlated with student grades. Exam reliability was lowered mainly by evaluator differences in leniency and grading pattern; less important was absence of standardization in cases. While grade reliability was low in early use of the paper case-based oral examination, modeling of plausible effects of training and monitoring for greater uniformity in administration of the examination and assigning scores suggests that more adequate reliabilities can be attained.

Problem-based learning within endocrine physiology lectures.

PubMed

Walters, M R

2001-12-01

Methods were needed to improve the interest of medical students in the 10-lecture Endocrine Physiology block at the end of the second semester of study. Other incentives for improvement included the possibility of attracting students into endocrine research electives and the pressure to improve teaching approaches that results from the high tuition they pay. The principal approach adopted was that of whole class problem-based learning sessions (PBLS) in which the lecture period begins with a brief overview of one to three simplified cases, followed by the usual didactic lecture. At the end of the lecture, each PBL case is read in detail, with several questions posed to the students. Their answers are then used to reinforce concepts from the lecture material. This method can also provide some continuity between lectures, either by using a case in several lectures to illustrate different points, or by posing a question at the beginning of class that illustrates a point from the prior lecture. The outcome of this approach has been very successful: student evaluations of the lecture block and their attendance have significantly improved.

Evaluating the Effects of Medical Explorers a Case Study Curriculum on Critical Thinking, Attitude Toward Life Science, and Motivational Learning Strategies in Rural High School Students

NASA Astrophysics Data System (ADS)

Brand, Lance G.

2011-12-01

The purpose of this study was three-fold: to measure the ability of the Medical Explorers case-based curriculum to improve higher order thinking skills; to evaluate the impact of the Medical Explorers case-based curriculum to help students be self directed learners; and to investigate the impact of the Medical Explorers case-based curriculum to improve student attitudes of the life sciences. The target population for this study was secondary students enrolled in advanced life science programs. The resulting sample (n = 71) consisted of 36 students in the case-based experimental group and 35 students in the control group. Furthermore, this study employed an experimental, pretest-posttest control group research design. The treatment consisted of two instructional strategies: case-based learning and teacher-guided learning. Analysis of covariance indicated no treatment effect on critical thinking ability or Motivation and Self-regulation of Learning. However, the Medical Explorers case-based curriculum did show a treatment effect on student attitudes toward the life sciences. These results seem to indicate that case-based curriculum has a positive impact on students' perspectives and attitudes about the study of life science as well as their interest in life science based careers. Such outcomes are also a good indicator that students enjoy and perceive the value to use of case studies in science, and because they see value in the work that they do they open up their minds to true learning and integration. Of additional interest was the observationthat on average eleventh graders showed consistently stronger gains in critical thinking, motivation and self-regulation of learning strategies, and attitudes toward the life sciences as compared to twelfth grade students. In fact, twelfth grade students showed a pre to post loss on the Watson-Glaser and the MSLQ scores while eleventh grade students showed positive gains on each of these instruments. This decline in twelfth grade performance is an endemic indicator of underlying problems that exists in this transitional year of education and supports the need to strengthen the transitional connections between high schools and institutions of higher learning.

The implementation of problem-based learning in collaborative groups in a chiropractic program in Malaysia.

PubMed

Win, Ni Ni; Nadarajah, Vishna Devi V; Win, Daw Khin

2015-01-01

Problem-based learning (PBL) is usually conducted in small-group learning sessions with approximately eight students per facilitator. In this study, we implemented a modified version of PBL involving collaborative groups in an undergraduate chiropractic program and assessed its pedagogical effectiveness. This study was conducted at the International Medical University, Kuala Lumpur, Malaysia, and involved the 2012 chiropractic student cohort. Six PBL cases were provided to chiropractic students, consisting of three PBL cases for which learning resources were provided and another three PBL cases for which learning resources were not provided. Group discussions were not continuously supervised, since only one facilitator was present. The students' perceptions of PBL in collaborative groups were assessed with a questionnaire that was divided into three domains: motivation, cognitive skills, and perceived pressure to work. Thirty of the 31 students (97%) participated in the study. PBL in collaborative groups was significantly associated with positive responses regarding students' motivation, cognitive skills, and perceived pressure to work (P<0.05). The students felt that PBL with learning resources increased motivation and cognitive skills (P<0.001). The new PBL implementation described in this study does not require additional instructors or any additional funding. When implemented in a classroom setting, it has pedagogical benefits equivalent to those of small-group sessions. Our findings also suggest that students rely significantly on available learning resources.

Improving the FLORIS wind plant model for compatibility with gradient-based optimization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thomas, Jared J.; Gebraad, Pieter MO; Ning, Andrew

The FLORIS (FLOw Redirection and Induction in Steady-state) model, a parametric wind turbine wake model that predicts steady-state wake characteristics based on wind turbine position and yaw angle, was developed for optimization of control settings and turbine locations. This article provides details on changes made to the FLORIS model to make the model more suitable for gradient-based optimization. Changes to the FLORIS model were made to remove discontinuities and add curvature to regions of non-physical zero gradient. Exact gradients for the FLORIS model were obtained using algorithmic differentiation. A set of three case studies demonstrate that using exact gradients withmore » gradient-based optimization reduces the number of function calls by several orders of magnitude. The case studies also show that adding curvature improves convergence behavior, allowing gradient-based optimization algorithms used with the FLORIS model to more reliably find better solutions to wind farm optimization problems.« less

Applications of a Time Sequence Mechanism in the Simulation Cases of a Web-Based Medical Problem-Based Learning System

ERIC Educational Resources Information Center

Chen, Lih-Shyang; Cheng, Yuh-Ming; Weng, Sheng-Feng; Chen, Yong-Guo; Lin, Chyi-Her

2009-01-01

The prevalence of Internet applications nowadays has led many medical schools and centers to incorporate computerized Problem-Based Learning (PBL) methods into their training curricula. However, many of these PBL systems do not truly reflect the situations which practitioners may actually encounter in a real medical environment, and hence their…

Case Study: Students’ Symbolic Manipulation in Calculus Among UTHM Students

NASA Astrophysics Data System (ADS)

Ali, Maselan; Sufahani, Suliadi; Ahmad, Wan N. A. W.; Ghazali Kamardan, M.; Saifullah Rusiman, Mohd; Che-Him, Norziha

2018-04-01

Words are symbols representing certain aspects of mathematics. The main purpose of this study is to gain insight into students’ symbolic manipulation in calculus among UTHM students. This study make use the various methods in collecting data which are documentation, pilot study, written test and follow up individual interviews. Hence, the results analyzed and interpreted based on action-process-object-schema framework which is based on Piaget’s ideas of reflective abstraction, the concept of relational and instrumental understanding and the zone of proximal development idea. The students’ reply in the interview session is analyzed and then the overall performance is discussed briefly to relate with the students flexibility in symbolic manipulation in linking to the graphical idea, the students interpretation towards different symbolic structure in calculus and the problem that related to overgeneralization in their calculus problems solving.

Inference of the sparse kinetic Ising model using the decimation method

NASA Astrophysics Data System (ADS)

Decelle, Aurélien; Zhang, Pan

2015-05-01

In this paper we study the inference of the kinetic Ising model on sparse graphs by the decimation method. The decimation method, which was first proposed in Decelle and Ricci-Tersenghi [Phys. Rev. Lett. 112, 070603 (2014), 10.1103/PhysRevLett.112.070603] for the static inverse Ising problem, tries to recover the topology of the inferred system by setting the weakest couplings to zero iteratively. During the decimation process the likelihood function is maximized over the remaining couplings. Unlike the ℓ1-optimization-based methods, the decimation method does not use the Laplace distribution as a heuristic choice of prior to select a sparse solution. In our case, the whole process can be done auto-matically without fixing any parameters by hand. We show that in the dynamical inference problem, where the task is to reconstruct the couplings of an Ising model given the data, the decimation process can be applied naturally into a maximum-likelihood optimization algorithm, as opposed to the static case where pseudolikelihood method needs to be adopted. We also use extensive numerical studies to validate the accuracy of our methods in dynamical inference problems. Our results illustrate that, on various topologies and with different distribution of couplings, the decimation method outperforms the widely used ℓ1-optimization-based methods.

Students’ difficulties in probabilistic problem-solving

NASA Astrophysics Data System (ADS)

Arum, D. P.; Kusmayadi, T. A.; Pramudya, I.

2018-03-01

There are many errors can be identified when students solving mathematics problems, particularly in solving the probabilistic problem. This present study aims to investigate students’ difficulties in solving the probabilistic problem. It focuses on analyzing and describing students errors during solving the problem. This research used the qualitative method with case study strategy. The subjects in this research involve ten students of 9th grade that were selected by purposive sampling. Data in this research involve students’ probabilistic problem-solving result and recorded interview regarding students’ difficulties in solving the problem. Those data were analyzed descriptively using Miles and Huberman steps. The results show that students have difficulties in solving the probabilistic problem and can be divided into three categories. First difficulties relate to students’ difficulties in understanding the probabilistic problem. Second, students’ difficulties in choosing and using appropriate strategies for solving the problem. Third, students’ difficulties with the computational process in solving the problem. Based on the result seems that students still have difficulties in solving the probabilistic problem. It means that students have not able to use their knowledge and ability for responding probabilistic problem yet. Therefore, it is important for mathematics teachers to plan probabilistic learning which could optimize students probabilistic thinking ability.

Imaging with cross-hole seismoelectric tomography

USGS Publications Warehouse

Araji, A.H.; Revil, A.; Jardani, A.; Minsley, Burke J.; Karaoulis, M.

2012-01-01

We propose a cross-hole imaging approach based on seismoelectric conversions (SC) associated with the transmission of seismic waves from seismic sources located in a borehole to receivers (electrodes) located in a second borehole. The seismoelectric (seismic-to-electric) problem is solved using Biot theory coupled with a generalized Ohm's law with an electrokinetic streaming current contribution. The components of the displacement of the solid phase, the fluid pressure, and the electrical potential are solved using a finite element approach with Perfect Match Layer (PML) boundary conditions for the seismic waves and boundary conditions mimicking an infinite material for the electrostatic problem. We develop an inversion algorithm using the electrical disturbances recorded in the second borehole to localize the position of the heterogeneities responsible for the SC. Because of the ill-posed nature of the inverse problem (inherent to all potential-field problems), regularization is used to constrain the solution at each time in the SC-time window comprised between the time of the seismic shot and the time of the first arrival of the seismic waves in the second borehole. All the inverted volumetric current source densities are aggregated together to produce an image of the position of the heterogeneities between the two boreholes. Two simple synthetic case studies are presented to test this concept. The first case study corresponds to a vertical discontinuity between two homogeneous sub-domains. The second case study corresponds to a poroelastic inclusion (partially saturated by oil) embedded into an homogenous poroelastic formation. In both cases, the position of the heterogeneity is recovered using only the electrical disturbances associated with the SC. That said, a joint inversion of the seismic and seismoelectric data could improve these results.

Comparative Study on High-Order Positivity-preserving WENO Schemes

NASA Technical Reports Server (NTRS)

Kotov, Dmitry V.; Yee, Helen M.; Sjogreen, Bjorn Axel

2013-01-01

The goal of this study is to compare the results obtained by non-positivity-preserving methods with the recently developed positivity-preserving schemes for representative test cases. In particular the more di cult 3D Noh and Sedov problems are considered. These test cases are chosen because of the negative pressure/density most often exhibited by standard high-order shock-capturing schemes. The simulation of a hypersonic nonequilibrium viscous shock tube that is related to the NASA Electric Arc Shock Tube (EAST) is also included. EAST is a high-temperature and high Mach number viscous nonequilibrium ow consisting of 13 species. In addition, as most common shock-capturing schemes have been developed for problems without source terms, when applied to problems with nonlinear and/or sti source terms these methods can result in spurious solutions, even when solving a conservative system of equations with a conservative scheme. This kind of behavior can be observed even for a scalar case (LeVeque & Yee 1990) as well as for the case consisting of two species and one reaction (Wang et al. 2012). For further information concerning this issue see (LeVeque & Yee 1990; Griffiths et al. 1992; Lafon & Yee 1996; Yee et al. 2012). This EAST example indicated that standard high-order shock-capturing methods exhibit instability of density/pressure in addition to grid-dependent discontinuity locations with insufficient grid points. The evaluation of these test cases is based on the stability of the numerical schemes together with the accuracy of the obtained solutions.

Quality Tools and TRIZ Based Quality Improvement Case Study at PT ‘X’ A Plastic Moulding Manufacturing Industry

NASA Astrophysics Data System (ADS)

Wirawan, Christina; Chandra, Fory

2016-02-01

Theory of Inventive Problem Solving (TRIZ) is a creative encouraging problem solving method. TRIZ is prepared by Altshuller for product design. Altshuller prepared contradiction matrix and suggestion to solve contradictions usually occur in product design. This paper try to combine TRIZ with quality tools such as Pareto and Fault Tree Analysis (FTA) to solve contradiction in quality improvement problem, neither than product design problem. Pareto used to identify defect priority, FTA used to analysis and identify root cause of defect. When there is contradiction in solving defect causes, TRIZ used to find creative problem solving. As a case study, PT ’X’, a plastic molding manufacturing industry was taken. PT ‘X’ using traditional press machine to produce plastic thread cone. There are 5 defect types that might occur in plastic thread cone production, incomplete form, dirty, mottle, excessive form, rugged. Research about quality improvement effort using DMAIC at PT ‘X’ have been done by Fory Candra. From this research, defect types, priority, root cause from FTA, recommendation from FMEA. In this research, from FTA reviewed, contradictions found among causes troublesome quality improvement efforts. TRIZ used to solve the contradictions and quality improvement effort can be made effectively.

A four-tier problem-solving scaffold to teach pain management in dental school.

PubMed

Ivanoff, Chris S; Hottel, Timothy L

2013-06-01

Pain constitutes a major reason patients pursue dental treatment. This article presents a novel curriculum to provide dental students comprehensive training in the management of pain. The curriculum's four-tier scaffold combines traditional and problem-based learning to improve students' diagnostic, pharmacotherapeutic, and assessment skills to optimize decision making when treating pain. Tier 1 provides underpinning knowledge of pain mechanisms with traditional and contextualized instruction by integrating clinical correlations and studying worked cases that stimulate clinical thinking. Tier 2 develops critical decision making skills through self-directed learning and actively solving problem-based cases. Tier 3 exposes students to management approaches taken in allied health fields and cultivates interdisciplinary communication skills. Tier 4 provides a "knowledge and experience synthesis" by rotating students through community pain clinics to practice their assessment skills. This combined teaching approach aims to increase critical thinking and problem-solving skills to assist dental graduates in better management of pain throughout their careers. Dental curricula that have moved to comprehensive care/private practice models are well-suited for this educational approach. The goal of this article is to encourage dental schools to integrate pain management into their curricula, to develop pain management curriculum resources for dental students, and to provide leadership for change in pain management education.

Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets

NASA Astrophysics Data System (ADS)

Bazzica, A.; van Gemert, J. C.; Liem, C. C. S.; Hanjalic, A.

2017-05-01

Acoustic events often have a visual counterpart. Knowledge of visual information can aid the understanding of complex auditory scenes, even when only a stereo mixdown is available in the audio domain, \\eg identifying which musicians are playing in large musical ensembles. In this paper, we consider a vision-based approach to note onset detection. As a case study we focus on challenging, real-world clarinetist videos and carry out preliminary experiments on a 3D convolutional neural network based on multiple streams and purposely avoiding temporal pooling. We release an audiovisual dataset with 4.5 hours of clarinetist videos together with cleaned annotations which include about 36,000 onsets and the coordinates for a number of salient points and regions of interest. By performing several training trials on our dataset, we learned that the problem is challenging. We found that the CNN model is highly sensitive to the optimization algorithm and hyper-parameters, and that treating the problem as binary classification may prevent the joint optimization of precision and recall. To encourage further research, we publicly share our dataset, annotations and all models and detail which issues we came across during our preliminary experiments.

Application of a territorial-based filtering algorithm in turbomachinery blade design optimization

NASA Astrophysics Data System (ADS)

Bahrami, Salman; Khelghatibana, Maryam; Tribes, Christophe; Yi Lo, Suk; von Fellenberg, Sven; Trépanier, Jean-Yves; Guibault, François

2017-02-01

A territorial-based filtering algorithm (TBFA) is proposed as an integration tool in a multi-level design optimization methodology. The design evaluation burden is split between low- and high-cost levels in order to properly balance the cost and required accuracy in different design stages, based on the characteristics and requirements of the case at hand. TBFA is in charge of connecting those levels by selecting a given number of geometrically different promising solutions from the low-cost level to be evaluated in the high-cost level. Two test case studies, a Francis runner and a transonic fan rotor, have demonstrated the robustness and functionality of TBFA in real industrial optimization problems.

[Reference value for metabolic syndrome checkup and some problems].

PubMed

Miyake, Noriko

2009-09-01

Metabolic syndrome is one of the most important risk factors of atherosclerotic disease, and visceral obesity is regarded as a principle component of metabolic syndrome. Medical checkups for metabolic syndrome were started in 2008 for the purpose of promoting lifestyle modification through health guidance. The original diagnosis of metabolic syndrome in Japan was presented by the Examination Committee of Criteria for Metabolic Syndrome in April 2005. This guideline defines the waist circumference measurement as an essential component, accompanied by at least two of the following three risk factors: dyslipidemia, a raised blood pressure, and glucose intolerance, and these risk factors were based on multiple representative Japanese cohort studies. However, there are some problems with these standards. For example, it is often the case that accurate evaluation is difficult because variable factors such as meals influence the serum triglyceride level. This influences the reliability of the results of cohort studies. In this symposium, problems with this guideline were presented along with an introduction to the cohort study on which the concept of the syndrome was based. I compiled a cohort study related to metabolic syndrome, and pointed out some problems from the viewpoint of clinical laboratory medicine.

Coordination between Education and Population Policies--A Case Study of India.

ERIC Educational Resources Information Center

Chawla, S. P.

Population and educational policies of the government of India since 1950 are reviewed. A major objective of the study is to take stock of accomplishments and problems in the two policy areas so that policymakers will have up to date information upon which to base future planning. The document is presented in seven chapters. Chapter I offers an…

Problems Students Experience with Inquiry Processes in the Study of Enzyme Kinetics

ERIC Educational Resources Information Center

Ferrés Gurt, Concepció; Marbà Tallada, Anna

2018-01-01

This case study describes a classroom-based questionnaire that was carried out with a group of 36 high school students (17-18 years old) in Catalonia. The aim was to examine the usefulness of questionnaires focused on scientific inquiry, both to evaluate students' inquiry abilities and for their potential as tools to improve the understanding of…

Using Cognitive Load Theory to Interpret Student Difficulties with a Problem-Based Learning Approach to Engineering Education: A Case Study

ERIC Educational Resources Information Center

Peters, Michael

2015-01-01

This article reports on an investigation with first year undergraduate Product Design and Management students within a School of Engineering and Applied Science. The students at the time of this investigation had studied fundamental engineering science and mathematics for one semester. The students were given an open ended, ill-formed problem…

Translation Strategies of EFL Student Teachers: A Think Aloud Protocol-Based Case Study

ERIC Educational Resources Information Center

Aly, Mahsoub Abdul-Sadeq

2004-01-01

The main concern of the present study is to investigate the strategies followed by the EFL students in the translation process. This problem has been dealt with through answering the following two questions: 1- What are the strategies followed by the EFL student teachers in the translation process?; 2 - What are the educational implications for…

A case study examining classroom instructional practices at a U.S. dental school.

PubMed

Behar-Horenstein, Linda S; Mitchell, Gail S; Dolan, Teresa A

2005-06-01

A case study is used to illustrate how an evaluation strategy was used to assess classroom instructional practices following a multiyear institutional curriculum revision process. From January through April of 2003, twelve faculty in medicine and three faculty in dentistry who taught in the first- and second-year basic science courses within the dental curriculum participated in a qualitative study. The purpose was to use a formative evaluation process to assess the impact of the curriculum revision at the level of classroom instruction. The observations revealed that seventeen of the twenty classes observed were teacher-centered, passive, and lacked observable effort to help students understand the relationship of the lecture content to the oral health problems. Findings illustrate the importance of using formative evaluation as a mechanism to assess change efforts and how evidence-based study can be used to support initiatives directed toward assessing active student learning and problem solving. Raising faculty awareness about the importance of acquiring evidence-based educational skills, aligning instruction with course goals and objectives, formatively assessing teaching, and providing learning experiences that will actually be used in practice are essential to ensuring that active learning and critical thinking are demonstrated in the curriculum.

Development of Curriculum in American Civilization for the General Student: Case Study Approach. Final Report.

ERIC Educational Resources Information Center

Gibson, John S.; Kenosian, Elisabeth M.

Case studies in each of the parts deal with specific problems in the mainstream of United States history and are designed to help the general level student relate the case study and the theme of the past to similar problems today. Each theme deals with the resolution of conflict in historical ideologies. 1) Studies on intolerance in American life…

A New Computational Technique for the Generation of Optimised Aircraft Trajectories

NASA Astrophysics Data System (ADS)

Chircop, Kenneth; Gardi, Alessandro; Zammit-Mangion, David; Sabatini, Roberto

2017-12-01

A new computational technique based on Pseudospectral Discretisation (PSD) and adaptive bisection ɛ-constraint methods is proposed to solve multi-objective aircraft trajectory optimisation problems formulated as nonlinear optimal control problems. This technique is applicable to a variety of next-generation avionics and Air Traffic Management (ATM) Decision Support Systems (DSS) for strategic and tactical replanning operations. These include the future Flight Management Systems (FMS) and the 4-Dimensional Trajectory (4DT) planning and intent negotiation/validation tools envisaged by SESAR and NextGen for a global implementation. In particular, after describing the PSD method, the adaptive bisection ɛ-constraint method is presented to allow an efficient solution of problems in which two or multiple performance indices are to be minimized simultaneously. Initial simulation case studies were performed adopting suitable aircraft dynamics models and addressing a classical vertical trajectory optimisation problem with two objectives simultaneously. Subsequently, a more advanced 4DT simulation case study is presented with a focus on representative ATM optimisation objectives in the Terminal Manoeuvring Area (TMA). The simulation results are analysed in-depth and corroborated by flight performance analysis, supporting the validity of the proposed computational techniques.

Investigation of the Stability of a Two-Span Bridge with the use of a High-Precision Laser Displacement Sensors

NASA Astrophysics Data System (ADS)

Poddaeva, O.; Churin, P.; Fedosova, A.; Truhanov, S.

2018-03-01

Studies of aerodynamics of bridge structures are an actual problem. Such attention is paid to the study of wind influence on bridge structures not at all by chance; a large number of cases of loss of stability of such structures are known under the influence of wind up to their complete destruction. The development of non-contact systems of measuring equipment allows solving this problem with a high level of accuracy and reliability. This article presents the results of experimental studies of wind impact on a two-span bridge using specialized measuring system based on high-precision laser displacement sensors.

"The NASA Sci Files": The Case of the Biological Biosphere. [Videotape].

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.

The NASA Science Files is a series of instructional programs consisting of broadcast, print, and online elements. Emphasizing standards-based instruction, problem-based learning, and science as inquiry, the series seeks to motivate students in grades 3-5 to become critical thinkers and active problem solvers. Each program supports the national…

The Validity of Computer Audits of Simulated Cases Records.

ERIC Educational Resources Information Center

Rippey, Robert M.; And Others

This paper describes the implementation of a computer-based approach to scoring open-ended problem lists constructed to evaluate student and practitioner clinical judgment from real or simulated records. Based on 62 previously administered and scored problem lists, the program was written in BASIC for a Heathkit H11A computer (equivalent to DEC…

The Case of Lobster Shell Disease

ERIC Educational Resources Information Center

Hollen, Shawna; Toney, Jaime L.; Bisaccio, Daniel; Haberstroh, Karen Marie; Herbert, Timothy

2011-01-01

The authors combined content-driven and inquiry-based lessons into the framework of problem-based learning (PBL). They did this in eight third- through sixth-grade classrooms--two each from grades 3-5, one from sixth grade, and one mixed-grade special education. These older elementary students explored a local problem of lobsters infected by…

From primary care to public health: using Problem-based Learning and the ecological model to teach public health to first year medical students.

PubMed

Hoover, Cora R; Wong, Candice C; Azzam, Amin

2012-06-01

We investigated whether a public health-oriented Problem-Based Learning case presented to first-year medical students conveyed 12 "Population Health Competencies for Medical Students," as recommended by the Association of American Medical Colleges and the Regional Medicine-Public Health Education Centers. A public health-oriented Problem-Based Learning case guided by the ecological model paradigm was developed and implemented among two groups of 8 students at the University of California, Berkeley-UCSF Joint Medical Program, in the Fall of 2010. Using directed content analysis, student-generated written reports were coded for the presence of the 12 population health content areas. Students generated a total of 29 reports, of which 20 (69%) contained information relevant to at least one of the 12 population health competencies. Each of the 12 content areas was addressed by at least one report. As physicians-in-training prepare to confront the challenges of integrating prevention and population health with clinical practice, Problem-Based Learning is a promising tool to enhance medical students' engagement with public health.

Endoscopic Approach to Remove Intra-extracranial Tumors in Various Skull Base Regions: 10-year Experience of a Single Center

PubMed Central

Zhang, Qiu-Hang; Wang, Zhen-Lin; Guo, Hong-Chuan; Kong, Feng; Yan, Bo; Li, Ming-Chu; Chen, Ge; Liang, Jian-Tao; Bao, Yu-Hai; Ling, Feng

2017-01-01

Background: Some problems have been found in the usually adopted combined approach for the removal of intra-extracranial tumors in skull base. Herein, we described a pure endoscopic transnasal or transoral approach (ETA) for the removal of intra-extracranial tumors in various skull base regions. Methods: Retrospectively, clinical data, major surgical complications, pre- and postoperative images, and follow-up information of a series of 85 patients with intra-extracranial tumors in various skull base regions who were treated by surgery via ETA in our skull base center during the past 10 years were reviewed and analyzed. Results: Gross total tumor removal was achieved in 80/85 cases (94.1%) in this study. All 37 cases with tumors in anterior skull base and all 14 cases with tumors in jugular foramen received total tumor removal. Thirteen and three cases with tumors in clivus received total and subtotal tumor removal, respectively. Total and subtotal tumor removal was performed for 16 cases and 2 cases in lateral skull base, respectively. The complications in this study included: cerebrospinal fluid leakage (n = 3), meningitis (n = 3), and new cranial nerve deficits (n = 3; recovered in 3 months after surgery). In the follow-up period of 40–151 months (median: 77 months), seven patients (8.8%) out of the 80 cases of total tumor removal experienced recurrence. Conclusions: Complete resection of intra-extracranial growing tumors in various skull base regions can be achieved via the pure ETA in one stage in selected cases. Surgical procedure for radical removal of tumors is feasible and safe. PMID:29237926

Data Integrity-A Study of Current Regulatory Thinking and Action.

PubMed

Shafiei, Nader; De Montardy, Regis; Rivera-Martinez, Edwin

2015-01-01

In reaction to breaches of data integrity in the pharmaceutical industry, regulatory authorities have introduced inspection approaches or initiatives with the aim of reducing occurrences of data integrity problems. This review article-based on study of 65 cases of regulatory action from 2002 to 2014-provides an overview of current regulatory thinking and action on breaches of data integrity affecting GxP (health-related regulations) processes supporting non-clinical studies, clinical studies, laboratory controls, and production controls. These case studies largely represent position of the U.S. Food and Drug Administration and the regulatory agencies affiliated with the European Medicines Agency. Also discussed is the role of human factors as a potential source of data integrity problems. The article concludes by recommending some remedial controls that could be established to avoid or reduce occurrences of data integrity problems.Lay Abstract: In fulfilling their mission to protect public health, regulatory agencies (e.g., U.S. Food and Drug Administration, European Medicines Agency) must establish confidence that medical products they approve are fit for their intended use. In so doing they rely on scientific and operational data generated during research, development, manufacturing, sales, marketing, distribution, and post-marketing surveillance activities. The level of confidence they build is directly proportional to the scientific validity and integrity of data presented to them by the sponsors of medical products. In this article we present analysis of 65 case studies that document regulatory action taken by various regulatory agencies on breach of data integrity between 2002 and 2014. The ensuing discussion on current trends largely represents position of the U.S. Food and Drug Administration and European Medicines Agency. The article concludes by proposing some remedial controls that could be established by pharmaceutical companies to avoid or reduce occurrences of data integrity problems. © PDA, Inc. 2015.

Analysis Balance Parameter of Optimal Ramp metering

NASA Astrophysics Data System (ADS)

Li, Y.; Duan, N.; Yang, X.

2018-05-01

Ramp metering is a motorway control method to avoid onset congestion through limiting the access of ramp inflows into the main road of the motorway. The optimization model of ramp metering is developed based upon cell transmission model (CTM). With the piecewise linear structure of CTM, the corresponding motorway traffic optimization problem can be formulated as a linear programming (LP) problem. It is known that LP problem can be solved by established solution algorithms such as SIMPLEX or interior-point methods for the global optimal solution. The commercial software (CPLEX) is adopted in this study to solve the LP problem within reasonable computational time. The concept is illustrated through a case study of the United Kingdom M25 Motorway. The optimal solution provides useful insights and guidances on how to manage motorway traffic in order to maximize the corresponding efficiency.

Decay of solutions of the wave equation with arbitrary localized nonlinear damping

NASA Astrophysics Data System (ADS)

Bellassoued, Mourad

We study the problem of decay rate for the solutions of the initial-boundary value problem to the wave equation, governed by localized nonlinear dissipation and without any assumption on the dynamics (i.e., the control geometric condition is not satisfied). We treat separately the autonomous and the non-autonomous cases. Providing regular initial data, without any assumption on an observation subdomain, we prove that the energy decays at last, as fast as the logarithm of time. Our result is a generalization of Lebeau (in: A. Boutet de Monvel, V. Marchenko (Eds.), Algebraic and Geometric Methods in Mathematical Physics, Kluwer Academic Publishers, Dordrecht, the Netherlands, 1996, pp. 73) result in the autonomous case and Nakao (Adv. Math. Sci. Appl. 7 (1) (1997) 317) work in the non-autonomous case. In order to prove that result we use a new method based on the Fourier-Bross-Iaglintzer (FBI) transform.

Modeling asset price processes based on mean-field framework

NASA Astrophysics Data System (ADS)

Ieda, Masashi; Shiino, Masatoshi

2011-12-01

We propose a model of the dynamics of financial assets based on the mean-field framework. This framework allows us to construct a model which includes the interaction among the financial assets reflecting the market structure. Our study is on the cutting edge in the sense of a microscopic approach to modeling the financial market. To demonstrate the effectiveness of our model concretely, we provide a case study, which is the pricing problem of the European call option with short-time memory noise.

The generalized quadratic knapsack problem. A neuronal network approach.

PubMed

Talaván, Pedro M; Yáñez, Javier

2006-05-01

The solution of an optimization problem through the continuous Hopfield network (CHN) is based on some energy or Lyapunov function, which decreases as the system evolves until a local minimum value is attained. A new energy function is proposed in this paper so that any 0-1 linear constrains programming with quadratic objective function can be solved. This problem, denoted as the generalized quadratic knapsack problem (GQKP), includes as particular cases well-known problems such as the traveling salesman problem (TSP) and the quadratic assignment problem (QAP). This new energy function generalizes those proposed by other authors. Through this energy function, any GQKP can be solved with an appropriate parameter setting procedure, which is detailed in this paper. As a particular case, and in order to test this generalized energy function, some computational experiments solving the traveling salesman problem are also included.

A Case Study of Team-Initiated Problem Solving Addressing Student Behavior in One Elementary School

ERIC Educational Resources Information Center

Todd, Anne W.; Horner, Robert H.; Berry, Dorothy; Sanders, Carol; Bugni, Michelle; Currier, Allison; Potts, Nicky; Newton, J. Stephen; Algozzine, Bob; Algozzine, Kate

2012-01-01

Team-Initiated Problem Solving (TIPS) is an approach for organizing school team meetings to improve identification of targeted problems, use of data in the development of solutions, and development of implemented action plans. TIPS has been demonstrated in single-case and randomized controlled trial studies to improve the effectiveness of teams to…

Bowland Maths: Problem Solving in Key Stage 3

ERIC Educational Resources Information Center

Lane, Peter; Lister, Adelaide; Onion, Alice; Wintle, Karen

2008-01-01

A project has been developed for KS3 maths, funded by the Bowland Trust (www.bowlandmaths.org.uk) with additional support from the DCSF. It consists of a teaching resource of about 20 case-study problems aimed at developing thinking, reasoning and problem-solving skills and has been distributed to all UK secondary schools. Each case study includes…

Classifying Work-Related and Personal Problems of Troubled Employees.

ERIC Educational Resources Information Center

Gomez-Mejia, Luis R.; Balkin, David B.

1980-01-01

Summarizes the results of research conducted on the nature of work-related and personal problems afflicting employee assistance program users. Based on a sample of 14,000 cases, the project sought to identify problems that seem to cluster together and the demographic profile of employees experiencing the cluster. (Author/MLF)

Use of existing systematic reviews for evidence assessments in infectious disease prevention: a comparative case study.

PubMed

Harder, Thomas; Remschmidt, Cornelius; Haller, Sebastian; Eckmanns, Tim; Wichmann, Ole

2016-10-11

Given limited resources and time constraints, the use of existing systematic reviews (SR) for the development of evidence-based public health recommendations has become increasingly important. Recently, a five-step approach for identifying, analyzing, appraising and using existing SRs based on recent guidance by the US Agency for Healthcare Research and Quality (AHRQ) was proposed within the Project on a Framework for Rating Evidence in Public Health (PRECEPT). However, case studies are needed to test whether this approach is useful, what challenges arise and how problems can be solved. In two case studies, the five-step approach was applied to integrate existing SRs in the development of evidence-based public health recommendations. Case study A focused on the role of neonatal sepsis as a risk factor for adverse neurodevelopmental outcome. Case study B examined the efficacy, effectiveness and safety of influenza vaccination during pregnancy. For each step, we report the approach of the review team, discuss challenges and describe solutions. For case study A, one existing SR was identified, while in case study B four SRs were eligible for analysis. We found that comparison of inclusion criteria alone was sufficient to judge on relevance of SRs in case study A, but not B. Although methodological quality of all identified SRs was acceptable, risk of bias assessments of individual studies included in the SRs had to be repeated in both case studies. Particular challenges appeared in case study B where multiple SRs addressed the same research question. With the help of spreadsheets comparing the characteristics of the existing SR we decided to use the most comprehensive one for our evidence synthesis and supplemented the results with those from the other SRs. In both case studies using the complete SR was not possible. The five-step approach provided useful and structured guidance and should be routinely applied when using existing SRs as a basis for evidence-based recommendations in public health. In situations where more than one SR has to be considered, the development of spreadsheets comparing characteristics, inclusion criteria, risk of bias, included studies and outcomes seems useful.

Cases as Shared Inquiry: A Dialogical Model of Teacher Preparation.

ERIC Educational Resources Information Center

Harrington, Helen L.; Garrison, James W.

1992-01-01

A dialogical model is proposed for connecting theory to practice in teacher education by conceiving of cases from case-based pedagogy as problems that initiate shared inquiry. Cases with genuine cognitive and axiological content can initiate self-directed, student-centered inquiry while building democratic dialogical communities. (SLD)

Training Needs Analysis and Evaluation for New Technologies through the Use of Problem-Based Inquiry

ERIC Educational Resources Information Center

Casey, Matthew Scott; Doverspike, Dennis

2005-01-01

The analysis of calls to a help desk, in this case calls to a computer help desk, can serve as a rich source of information on the real world problems that individuals are having with the implementation of a new technology. Thus, we propose that an analysis of help desk calls, a form of problem-based inquiry, can serve as a fast and low cost means…

Inverse scattering transform and soliton classification of the coupled modified Korteweg-de Vries equation

NASA Astrophysics Data System (ADS)

Wu, Jianping; Geng, Xianguo

2017-12-01

The inverse scattering transform of the coupled modified Korteweg-de Vries equation is studied by the Riemann-Hilbert approach. In the direct scattering process, the spectral analysis of the Lax pair is performed, from which a Riemann-Hilbert problem is established for the equation. In the inverse scattering process, by solving Riemann-Hilbert problems corresponding to the reflectionless cases, three types of multi-soliton solutions are obtained. The multi-soliton classification is based on the zero structures of the Riemann-Hilbert problem. In addition, some figures are given to illustrate the soliton characteristics of the coupled modified Korteweg-de Vries equation.

Investigating and developing engineering students' mathematical modelling and problem-solving skills

NASA Astrophysics Data System (ADS)

Wedelin, Dag; Adawi, Tom; Jahan, Tabassum; Andersson, Sven

2015-09-01

How do engineering students approach mathematical modelling problems and how can they learn to deal with such problems? In the context of a course in mathematical modelling and problem solving, and using a qualitative case study approach, we found that the students had little prior experience of mathematical modelling. They were also inexperienced problem solvers, unaware of the importance of understanding the problem and exploring alternatives, and impeded by inappropriate beliefs, attitudes and expectations. Important impacts of the course belong to the metacognitive domain. The nature of the problems, the supervision and the follow-up lectures were emphasised as contributing to the impacts of the course, where students show major development. We discuss these empirical results in relation to a framework for mathematical thinking and the notion of cognitive apprenticeship. Based on the results, we argue that this kind of teaching should be considered in the education of all engineers.