Integrating STEM education through Project-Based Inquiry Learning (PIL) in topic space among year one pupils

Science.gov (United States)

Ng, Chee Hoe; Adnan, M.

2018-01-01

This research aims to investigate the effect of integrating STEM education through Project-based Inquiry Learning (PIL) and the users of the STEM modules which consists of five projects on topic Space in Year One Mathematics Syllabus in Kurikulum Standard Sekolah Rendah (KSSR) of Malaysia. STEM education in primary school focuses on the introduces and awareness of students about the importance of STEM education. The projects in STEM modules are covering the different ethnic cultures in Malaysia. The modules are designed using the four phases in PIL. Concepts and the explanation of STEM education on each project are emphasized and provided in the modules so the teachers able to carry out the projects by using the modules. By using the modules in primary Mathematics, the students and teachers will be more understanding on how to integrate the Mathematics’ concepts in STEM education.

Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics.

Science.gov (United States)

Sing, David C; Metz, Lionel N; Dudli, Stefan

2017-06-01

Retrospective review. To identify the top 100 spine research topics. Recent advances in "machine learning," or computers learning without explicit instructions, have yielded broad technological advances. Topic modeling algorithms can be applied to large volumes of text to discover quantifiable themes and trends. Abstracts were extracted from the National Library of Medicine PubMed database from five prominent peer-reviewed spine journals (European Spine Journal [ESJ], The Spine Journal [SpineJ], Spine, Journal of Spinal Disorders and Techniques [JSDT], Journal of Neurosurgery: Spine [JNS]). Each abstract was entered into a latent Dirichlet allocation model specified to discover 100 topics, resulting in each abstract being assigned a probability of belonging in a topic. Topics were named using the five most frequently appearing terms within that topic. Significance of increasing ("hot") or decreasing ("cold") topic popularity over time was evaluated with simple linear regression. From 1978 to 2015, 25,805 spine-related research articles were extracted and classified into 100 topics. Top two most published topics included "clinical, surgeons, guidelines, information, care" (n = 496 articles) and "pain, back, low, treatment, chronic" (424). Top two hot trends included "disc, cervical, replacement, level, arthroplasty" (+0.05%/yr, P < 0.001), and "minimally, invasive, approach, technique" (+0.05%/yr, P < 0.001). By journal, the most published topics were ESJ-"operative, surgery, postoperative, underwent, preoperative"; SpineJ-"clinical, surgeons, guidelines, information, care"; Spine-"pain, back, low, treatment, chronic"; JNS- "tumor, lesions, rare, present, diagnosis"; JSDT-"cervical, anterior, plate, fusion, ACDF." Topics discovered through latent Dirichlet allocation modeling represent unbiased meaningful themes relevant to spine care. Topic dynamics can provide historical context and direction for future research for aspiring investigators and trainees

Braids and coverings selected topics

CERN Document Server

Hansen, Vagn Lundsgaard

1989-01-01

This book is based on a graduate course taught by the author at the University of Maryland, USA. The lecture notes have been revised and augmented by examples. The work falls into two strands. The first two chapters develop the elementary theory of Artin Braid groups both geometrically and via homotopy theory, and discuss the link between knot theory and the combinatorics of braid groups through Markov's Theorem. The final two chapters give a detailed investigation of polynomial covering maps, which may be viewed as a homomorphism of the fundamental group of the base space into the Artin braid

Personality in learning and education : A review

NARCIS (Netherlands)

DeRaad, B; Schouwenburg, HC

1996-01-01

The literature relevant to the combined area of personality and education and learning is summarized, covering almost a century of research and theorizing. Different topics considered important from the aspect of education and learning or from the aspect of personality ape represented. For

Ride On! Mini-Units and Learning Activities on Public Transportation for Grades 9 through 12.

Science.gov (United States)

Finn, Peter; And Others

One of a series of eleven curriculum manuals which cover the four transportation topics of public transportation, transportation and the environment, transportation safety, and bicycles for elementary, secondary, and adult levels, this manual covers the public transportation topic for grades 9-12. It contains forty-nine learning activities grouped…

Ride On! Mini-Units and Learning Activities on Public Transportation for Grades 6 through 9.

Science.gov (United States)

Finn, Peter; And Others

One of a series of eleven curriculum manuals which cover the four transportation topics of public transportation, transportation and the environment, transportation safety, and bicycles for elementary, secondary, and adult levels, this manual covers the public transportation topic for grades 6-9. It contains forty-two learning activities grouped…

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing

Directory of Open Access Journals (Sweden)

Uttam Kumar

2017-10-01

Full Text Available Land cover (LC refers to the physical and biological cover present over the Earth’s surface in terms of the natural environment such as vegetation, water, bare soil, etc. Most LC features occur at finer spatial scales compared to the resolution of primary remote sensing satellites. Therefore, observed data are a mixture of spectral signatures of two or more LC features resulting in mixed pixels. One solution to the mixed pixel problem is the use of subpixel learning algorithms to disintegrate the pixel spectrum into its constituent spectra. Despite the popularity and existing research conducted on the topic, the most appropriate approach is still under debate. As an attempt to address this question, we compared the performance of several subpixel learning algorithms based on least squares, sparse regression, signal–subspace and geometrical methods. Analysis of the results obtained through computer-simulated and Landsat data indicated that fully constrained least squares (FCLS outperformed the other techniques. Further, FCLS was used to unmix global Web-Enabled Landsat Data to obtain abundances of substrate (S, vegetation (V and dark object (D classes. Due to the sheer nature of data and computational needs, we leveraged the NASA Earth Exchange (NEX high-performance computing architecture to optimize and scale our algorithm for large-scale processing. Subsequently, the S-V-D abundance maps were characterized into four classes, namely forest, farmland, water and urban areas (in conjunction with nighttime lights data over California, USA using a random forest classifier. Validation of these LC maps with the National Land Cover Database 2011 products and North American Forest Dynamics static forest map shows a 6% improvement in unmixing-based classification relative to per-pixel classification. As such, abundance maps continue to offer a useful alternative to high-spatial-resolution classified maps for forest inventory analysis, multi

Using Epistemic Network Analysis to understand core topics as planned learning objectives

DEFF Research Database (Denmark)

Allsopp, Benjamin Brink; Dreyøe, Jonas; Misfeldt, Morten

Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation....... The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching...... sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks...

Collaborative and Multilingual Approach to Learn Database Topics Using Concept Maps

Science.gov (United States)

Calvo, Iñaki

2014-01-01

Authors report on a study using the concept mapping technique in computer engineering education for learning theoretical introductory database topics. In addition, the learning of multilingual technical terminology by means of the collaborative drawing of a concept map is also pursued in this experiment. The main characteristics of a study carried out in the database subject at the University of the Basque Country during the 2011/2012 course are described. This study contributes to the field of concept mapping as these kinds of cognitive tools have proved to be valid to support learning in computer engineering education. It contributes to the field of computer engineering education, providing a technique that can be incorporated with several educational purposes within the discipline. Results reveal the potential that a collaborative concept map editor offers to fulfil the above mentioned objectives. PMID:25538957

Deep Unfolding for Topic Models.

Science.gov (United States)

Chien, Jen-Tzung; Lee, Chao-Hsi

2018-02-01

Deep unfolding provides an approach to integrate the probabilistic generative models and the deterministic neural networks. Such an approach is benefited by deep representation, easy interpretation, flexible learning and stochastic modeling. This study develops the unsupervised and supervised learning of deep unfolded topic models for document representation and classification. Conventionally, the unsupervised and supervised topic models are inferred via the variational inference algorithm where the model parameters are estimated by maximizing the lower bound of logarithm of marginal likelihood using input documents without and with class labels, respectively. The representation capability or classification accuracy is constrained by the variational lower bound and the tied model parameters across inference procedure. This paper aims to relax these constraints by directly maximizing the end performance criterion and continuously untying the parameters in learning process via deep unfolding inference (DUI). The inference procedure is treated as the layer-wise learning in a deep neural network. The end performance is iteratively improved by using the estimated topic parameters according to the exponentiated updates. Deep learning of topic models is therefore implemented through a back-propagation procedure. Experimental results show the merits of DUI with increasing number of layers compared with variational inference in unsupervised as well as supervised topic models.

Topic Model for Graph Mining.

Science.gov (United States)

Xuan, Junyu; Lu, Jie; Zhang, Guangquan; Luo, Xiangfeng

2015-12-01

Graph mining has been a popular research area because of its numerous application scenarios. Many unstructured and structured data can be represented as graphs, such as, documents, chemical molecular structures, and images. However, an issue in relation to current research on graphs is that they cannot adequately discover the topics hidden in graph-structured data which can be beneficial for both the unsupervised learning and supervised learning of the graphs. Although topic models have proved to be very successful in discovering latent topics, the standard topic models cannot be directly applied to graph-structured data due to the "bag-of-word" assumption. In this paper, an innovative graph topic model (GTM) is proposed to address this issue, which uses Bernoulli distributions to model the edges between nodes in a graph. It can, therefore, make the edges in a graph contribute to latent topic discovery and further improve the accuracy of the supervised and unsupervised learning of graphs. The experimental results on two different types of graph datasets show that the proposed GTM outperforms the latent Dirichlet allocation on classification by using the unveiled topics of these two models to represent graphs.

Topic Modeling of Hierarchical Corpora /

OpenAIRE

Kim, Do-kyum

2014-01-01

The sizes of modern digital libraries have grown beyond our capacity to comprehend manually. Thus we need new tools to help us in organizing and browsing large corpora of text that do not require manually examining each document. To this end, machine learning researchers have developed topic models, statistical learning algorithms for automatic comprehension of large collections of text. Topic models provide both global and local views of a corpus; they discover topics that run through the co...

Implementation of Problem-Based Learning in Environmental Chemistry

Science.gov (United States)

Jansson, Stina; So¨derstro¨m, Hanna; Andersson, Patrik L.; Nording, Malin L.

2015-01-01

Environmental Chemistry covers a range of topics within the discipline of chemistry, from toxicology to legislation, which warrants interdisciplinary study. Consequently, problem-based learning (PBL), a style of student-centered learning which facilitates the integration of multiple subjects, was investigated to determine if it would be a more…

Problem-Based Learning Method: Secondary Education 10th Grade Chemistry Course Mixtures Topic

Science.gov (United States)

Üce, Musa; Ates, Ismail

2016-01-01

In this research; aim was determining student achievement by comparing problem-based learning method with teacher-centered traditional method of teaching 10th grade chemistry lesson mixtures topic. Pretest-posttest control group research design is implemented. Research sample includes; two classes of (total of 48 students) an Anatolian High School…

Mining FDA drug labels using an unsupervised learning technique--topic modeling.

Science.gov (United States)

Bisgin, Halil; Liu, Zhichao; Fang, Hong; Xu, Xiaowei; Tong, Weida

2011-10-18

The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often containing ambiguous semantic descriptions, which poses a great challenge in retrieving useful information from the labeling text in a consistent and accurate fashion for comparative analysis across drugs. Consequently, this task has largely relied on the manual reading of the full text by experts, which is time consuming and labor intensive. In this study, a novel text mining method with unsupervised learning in nature, called topic modeling, was applied to the drug labeling with a goal of discovering "topics" that group drugs with similar safety concerns and/or therapeutic uses together. A total of 794 FDA-approved drug labels were used in this study. First, the three labeling sections (i.e., Boxed Warning, Warnings and Precautions, Adverse Reactions) of each drug label were processed by the Medical Dictionary for Regulatory Activities (MedDRA) to convert the free text of each label to the standard ADR terms. Next, the topic modeling approach with latent Dirichlet allocation (LDA) was applied to generate 100 topics, each associated with a set of drugs grouped together based on the probability analysis. Lastly, the efficacy of the topic modeling was evaluated based on known information about the therapeutic uses and safety data of drugs. The results demonstrate that drugs grouped by topics are associated with the same safety concerns and/or therapeutic uses with statistical significance (P<0.05). The identified topics have distinct context that can be directly linked to specific adverse events (e.g., liver injury or kidney injury) or therapeutic application (e.g., antiinfectives for systemic use). We were also able to identify potential adverse events that might arise from specific

Mining FDA drug labels using an unsupervised learning technique - topic modeling

Science.gov (United States)

2011-01-01

Background The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often containing ambiguous semantic descriptions, which poses a great challenge in retrieving useful information from the labeling text in a consistent and accurate fashion for comparative analysis across drugs. Consequently, this task has largely relied on the manual reading of the full text by experts, which is time consuming and labor intensive. Method In this study, a novel text mining method with unsupervised learning in nature, called topic modeling, was applied to the drug labeling with a goal of discovering “topics” that group drugs with similar safety concerns and/or therapeutic uses together. A total of 794 FDA-approved drug labels were used in this study. First, the three labeling sections (i.e., Boxed Warning, Warnings and Precautions, Adverse Reactions) of each drug label were processed by the Medical Dictionary for Regulatory Activities (MedDRA) to convert the free text of each label to the standard ADR terms. Next, the topic modeling approach with latent Dirichlet allocation (LDA) was applied to generate 100 topics, each associated with a set of drugs grouped together based on the probability analysis. Lastly, the efficacy of the topic modeling was evaluated based on known information about the therapeutic uses and safety data of drugs. Results The results demonstrate that drugs grouped by topics are associated with the same safety concerns and/or therapeutic uses with statistical significance (P<0.05). The identified topics have distinct context that can be directly linked to specific adverse events (e.g., liver injury or kidney injury) or therapeutic application (e.g., antiinfectives for systemic use). We were also able to identify potential adverse events that

ESL Instruction and Adults with Learning Disabilities. ERIC Digest.

Science.gov (United States)

Schwarz, Robin; Terrill, Lynda

This digest reviews what is known about adult English-as-a-Second-Language (ESL) learners and learning disabilities, suggests ways to identify and assess ESL adults who may have learning disabilities, and offers practical methods for both instruction and teacher training. Topics covered in some detail include identifying and diagnosing learning…

Enhancement of Self Efficacy of Vocational School Students in Buffer Solution Topics through Guided Inquiry Learning

Science.gov (United States)

M, Ardiany; W, Wahyu; A, Supriatna

2017-09-01

The more students who feel less confident in learning, so doing things that are less responsible, such as brawl, drunkenness and others. So researchers need to do research related to student self efficacy in learning, in order to reduce unwanted things. This study aims to determine the effect of guided inquiry learning on improving self-efficacy of learners in the buffer solution topics. The method used is the mixed method which is the two group pretest postest design. The subjects of the study are 60 students of class XI AK in one of the SMKN in Bandung, consisting of 30 experimental class students and 30 control class students. The instruments used in this study mix method consist of self-efficacy questionnaire of pretest and posttest learners, interview guides, and observation sheet. Data analysis using t test with significant α = 0,05. Based on the result of inquiry of guided inquiry study, there is a significant improvement in self efficacy aspect of students in the topic of buffer solution. Data of pretest and posttest interview, observation, questionnaire showed significant result, that is improvement of experimental class with conventionally guided inquiry learning. The mean of self-efficacy of student learning there is significant difference of experiment class than control class equal to 0,047. There is a significant relationship between guided inquiry learning with self efficacy and guided inquiry learning. Each correlation value is 0.737. The learning process with guided inquiry is fun and challenging so that students can expose their ideas and opinions without being forced. From the results of questionnaires students showed an attitude of interest, sincerity and a good response of learning. While the results of questionnaires teachers showed that guided inquiry learning can make students learn actively, increased self-efficacy.

Machine learning with R

CERN Document Server

Lantz, Brett

2013-01-01

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or

The development of learning materials based on core model to improve students’ learning outcomes in topic of Chemical Bonding

Science.gov (United States)

Avianti, R.; Suyatno; Sugiarto, B.

2018-04-01

This study aims to create an appropriate learning material based on CORE (Connecting, Organizing, Reflecting, Extending) model to improve students’ learning achievement in Chemical Bonding Topic. This study used 4-D models as research design and one group pretest-posttest as design of the material treatment. The subject of the study was teaching materials based on CORE model, conducted on 30 students of Science class grade 10. The collecting data process involved some techniques such as validation, observation, test, and questionnaire. The findings were that: (1) all the contents were valid, (2) the practicality and the effectiveness of all the contents were good. The conclusion of this research was that the CORE model is appropriate to improve students’ learning outcomes for studying Chemical Bonding.

Effectiveness of Cooperative Learning Instructional Tools With Predict-Observe-Explain Strategy on the Topic of Cuboid and Cube Volume

Science.gov (United States)

Nurhuda; Lukito, A.; Masriyah

2018-01-01

This study aims to develop instructional tools and implement it to see the effectiveness. The method used in this research referred to Designing Effective Instruction. Experimental research with two-group pretest-posttest design method was conducted. The instructional tools have been developed is cooperative learning model with predict-observe-explain strategy on the topic of cuboid and cube volume which consist of lesson plans, POE tasks, and Tests. Instructional tools were of good quality by criteria of validity, practicality, and effectiveness. These instructional tools was very effective for teaching the volume of cuboid and cube. Cooperative instructional tool with predict-observe-explain (POE) strategy was good of quality because the teacher was easy to implement the steps of learning, students easy to understand the material and students’ learning outcomes completed classically. Learning by using this instructional tool was effective because learning activities were appropriate and students were very active. Students’ learning outcomes were completed classically and better than conventional learning. This study produced a good instructional tool and effectively used in learning. Therefore, these instructional tools can be used as an alternative to teach volume of cuboid and cube topics.

Profiles of Opportunities to Learn for TEDS-M Future Secondary Mathematics Teachers

Science.gov (United States)

Wang, Ting-Ying; Tang, Shu-Jyh

2013-01-01

This study used the data set from the Teacher Education and Development Study in Mathematics to identify the profiles of opportunities to learn (OTL) regarding topics studied in teacher preparation programs by future secondary mathematics teachers from 15 participating countries. The topics of inquiry covered tertiary-level mathematics,…

Machine Shop I. Learning Activity Packets (LAPs). Section A--Orientation.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This document contains two learning activity packets (LAPs) for the "orientation and safety" instructional area of a Machine Shop I course. The two LAPs cover the following topics: orientation and general shop safety. Each LAP contains a cover sheet that describes its purpose, an introduction, and the tasks included in the LAP; learning…

Auto Mechanics I. Learning Activity Packets (LAPs). Section E--Brakes.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This document contains two learning activity packets (LAPs) that outline the study activities for the "brakes" instructional area for an Auto Mechanics I course. The two LAPs cover the following topics: brake systems and power disc brakes. Each LAP contains a cover sheet that describes its purpose, an introduction, and the tasks included…

ElectronixTutor: An Intelligent Tutoring System with Multiple Learning Resources for Electronics

Science.gov (United States)

Graesser, Arthur C.; Hu, Xiangen; Nye, Benjamin D.; VanLehn, Kurt; Kumar, Rohit; Heffernan, Cristina; Heffernan, Neil; Woolf, Beverly; Olney, Andrew M.; Rus, Vasile; Andrasik, Frank; Pavlik, Philip; Cai, Zhiqiang; Wetzel, Jon; Morgan, Brent; Hampton, Andrew J.; Lippert, Anne M.; Wang, Lijia; Cheng, Qinyu; Vinson, Joseph E.; Kelly, Craig N.; McGlown, Cadarrius; Majmudar, Charvi A.; Morshed, Bashir; Baer, Whitney

2018-01-01

Background: The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics,…

Teaching Diversity and Aging through Active Learning Strategies: An Annotated Bibliography.

Science.gov (United States)

Fried, Stephen B.; Mehrotra, Chandra M.

Covering 10 topical areas, this annotated bibliography offers a guide to journal articles, book chapters, monographs, and books useful for teaching diversity and aging through active learning. Active learning experiences may help expand students' awareness of elements of their own diversity, broaden their world view, and enhance their culturally…

A Familiar(ity Problem: Assessing the Impact of Prerequisites and Content Familiarity on Student Learning.

Directory of Open Access Journals (Sweden)

Justin F Shaffer

Full Text Available Prerequisites are embedded in most STEM curricula. However, the assumption that the content presented in these courses will improve learning in later courses has not been verified. Because a direct comparison of performance between students with and without required prerequisites is logistically difficult to arrange in a randomized fashion, we developed a novel familiarity scale, and used this to determine whether concepts introduced in a prerequisite course improved student learning in a later course (in two biology disciplines. Exam questions in the latter courses were classified into three categories, based on the degree to which the tested concept had been taught in the prerequisite course. If content familiarity mattered, it would be expected that exam scores on topics covered in the prerequisite would be higher than scores on novel topics. We found this to be partially true for "Very Familiar" questions (concepts covered in depth in the prerequisite. However, scores for concepts only briefly discussed in the prerequisite ("Familiar" were indistinguishable from performance on topics that were "Not Familiar" (concepts only taught in the later course. These results imply that merely "covering" topics in a prerequisite course does not result in improved future performance, and that some topics may be able to removed from a course thereby freeing up class time. Our results may therefore support the implementation of student-centered teaching methods such as active learning, as the time-intensive nature of active learning has been cited as a barrier to its adoption. In addition, we propose that our familiarity system could be broadly utilized to aid in the assessment of the effectiveness of prerequisites.

A Familiar(ity) Problem: Assessing the Impact of Prerequisites and Content Familiarity on Student Learning.

Science.gov (United States)

Shaffer, Justin F; Dang, Jennifer V; Lee, Amanda K; Dacanay, Samantha J; Alam, Usman; Wong, Hollie Y; Richards, George J; Kadandale, Pavan; Sato, Brian K

2016-01-01

Prerequisites are embedded in most STEM curricula. However, the assumption that the content presented in these courses will improve learning in later courses has not been verified. Because a direct comparison of performance between students with and without required prerequisites is logistically difficult to arrange in a randomized fashion, we developed a novel familiarity scale, and used this to determine whether concepts introduced in a prerequisite course improved student learning in a later course (in two biology disciplines). Exam questions in the latter courses were classified into three categories, based on the degree to which the tested concept had been taught in the prerequisite course. If content familiarity mattered, it would be expected that exam scores on topics covered in the prerequisite would be higher than scores on novel topics. We found this to be partially true for "Very Familiar" questions (concepts covered in depth in the prerequisite). However, scores for concepts only briefly discussed in the prerequisite ("Familiar") were indistinguishable from performance on topics that were "Not Familiar" (concepts only taught in the later course). These results imply that merely "covering" topics in a prerequisite course does not result in improved future performance, and that some topics may be able to removed from a course thereby freeing up class time. Our results may therefore support the implementation of student-centered teaching methods such as active learning, as the time-intensive nature of active learning has been cited as a barrier to its adoption. In addition, we propose that our familiarity system could be broadly utilized to aid in the assessment of the effectiveness of prerequisites.

Introduction to the JASIST Special Topic Issue on Web Retrieval and Mining: A Machine Learning Perspective.

Science.gov (United States)

Chen, Hsinchun

2003-01-01

Discusses information retrieval techniques used on the World Wide Web. Topics include machine learning in information extraction; relevance feedback; information filtering and recommendation; text classification and text clustering; Web mining, based on data mining techniques; hyperlink structure; and Web size. (LRW)

Deep learning

CERN Document Server

Goodfellow, Ian; Courville, Aaron

2016-01-01

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language proces...

Land use and cover change as an overarching topic in the Dutch National Research Programme on Global Air Pollution and Climate Change : issues for implementation

NARCIS (Netherlands)

Fresco, L.O.; Berg, van den M.M.; Zeijl-Rozema, van A.E.

1996-01-01

The integration study 'Land Use and Cover Change as an overarching topic in the Dutch National Research Programme on Global Air Pollution and Climate Change (NRP)' aims at identifying research fields in which the NRP can contribute most effectively to the international scientific

A strategic systems perspective of organizational learning theory: models for a case study at the Jet Propulsion Laboratory

Science.gov (United States)

Neece, O.

2000-01-01

Organizational learning is an umbrella term that covers a variety of topics including; learning curves, productivity, organizational memory, organizational forgetting, knowledge transfer, knowledge sharing and knowledge creation. This treatise will review some of these theories in concert with a model of how organizations learn.

Let's start learning radiation. Supplementary material on radiation for secondary school students

International Nuclear Information System (INIS)

Watanabe, Yoko; Yamashita, Kiyonobu; Shimada, Mayuka

2015-01-01

The Japan Atomic Energy Agency has been organizing training programs for engineers in Asian countries introducing nuclear technology. In 2012, we launched a course ‘Basic Radiation Knowledge for School Education’ as we thought disseminating accurate knowledge on radiation to school students and public would also be important in those countries after Fukushima-Daiichi nuclear power station accident. Ministry of Education, Culture, Sports, Science and Technology - Japan published supplemental learning material on radiation for secondary school students and teachers in Japanese in October 2011. Since the learning material is designed to give a clear explanation of radiation and covers various topics, we thought it would also be beneficial for young students in the world if a learning material in English was available. Therefore, we made a new learning material in English using the topics covered in supplemental learning material on radiation in Japanese as a reference. This learning material has been favourably evaluated by the International Atomic Energy Agency (IAEA) and will be widely used as a practical educational tool in many countries around the world through the IAEA. (author)

Topics in industrial mathematics

International Nuclear Information System (INIS)

Vatsya, S.R.

1992-01-01

Mathematical methods are widely used to solve practical problems arising in modern industry. This article outlines some of the topics relevant to AECL programmes. This covers the applications of transmission and neutron transport tomography to determine density distributions in rocks and two phase flow situations. Another example covered is the use of variational methods to solve the problems of aerosol migration and control theory. (author). 7 refs

Teaching Learning Curves in an Undergraduate Economics or Operations Management Course

Science.gov (United States)

Naidu, Jaideep T.; Sanford, John F.

2012-01-01

Learning Curves has its roots in economics and behavioral psychology. Learning Curves theory has several business applications and is widely used in the industry. As faculty of Operations Management courses, we cover this topic in some depth in the classroom. In this paper, we present some of our teaching methods and material that have helped us…

A semi-supervised learning framework for biomedical event extraction based on hidden topics.

Science.gov (United States)

Zhou, Deyu; Zhong, Dayou

2015-05-01

Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

Topics in lightwave transmission systems

CERN Document Server

Li, Tingye

1991-01-01

Topics in Lightwave Transmission Systems is a second volume of a treatise on optical fiber communications that is devoted to the science, engineering, and application of information transmission via optical fibers. The first volume, published in 1985, dealt exclusively with fiber fabrication. The present volume contains topics that pertain to subsystems and systems. The book contains five chapters and begins with discussions of transmitters and receivers, which are basic to systems now operating in the field. Subsequent chapters cover topics relating to coherent systems: frequency and phase m

Learning Resource Centre in a Company

Directory of Open Access Journals (Sweden)

Aleksander Pokovec

2001-12-01

Full Text Available In the conditions of growing competition people are becoming the essential competitive advantage. Because of too much work, stress, too many responsibilities and other factors, employees are often unmotivated. Everyday self-study is the best way that leads to excellence. In order to enable self-study for all employees, the organisation should organise their own learning resource centre that includes: educational videoprogrammes, audio tapes, books and e-learning programmes. All educational programmes should cover business and personal topics.

Lecture Notes on Topics in Accelerator Physics

International Nuclear Information System (INIS)

Chao, Alex W.

2002-01-01

These are lecture notes that cover a selection of topics, some of them under current research, in accelerator physics. I try to derive the results from first principles, although the students are assumed to have an introductory knowledge of the basics. The topics covered are: (1) Panofsky-Wenzel and Planar Wake Theorems; (2) Echo Effect; (3) Crystalline Beam; (4) Fast Ion Instability; (5) Lawson-Woodward Theorem and Laser Acceleration in Free Space; (6) Spin Dynamics and Siberian Snakes; (7) Symplectic Approximation of Maps; (8) Truncated Power Series Algebra; and (9) Lie Algebra Technique for nonlinear Dynamics. The purpose of these lectures is not to elaborate, but to prepare the students so that they can do their own research. Each topic can be read independently of the others

Lecture Notes on Topics in Accelerator Physics

Energy Technology Data Exchange (ETDEWEB)

Chao, Alex W.

2002-11-15

These are lecture notes that cover a selection of topics, some of them under current research, in accelerator physics. I try to derive the results from first principles, although the students are assumed to have an introductory knowledge of the basics. The topics covered are: (1) Panofsky-Wenzel and Planar Wake Theorems; (2) Echo Effect; (3) Crystalline Beam; (4) Fast Ion Instability; (5) Lawson-Woodward Theorem and Laser Acceleration in Free Space; (6) Spin Dynamics and Siberian Snakes; (7) Symplectic Approximation of Maps; (8) Truncated Power Series Algebra; and (9) Lie Algebra Technique for nonlinear Dynamics. The purpose of these lectures is not to elaborate, but to prepare the students so that they can do their own research. Each topic can be read independently of the others.

Rethinking Research on Teaching: Lessons Learned from an International Study.

Science.gov (United States)

Ryan, Doris W.,Ed.; Anderson, Lorin W.,Ed.

1984-01-01

Reviewing their "Classroom Environment Study: Teaching for Learning" and other teaching research literature, project personnel examine the limitations of the process-product paradigm typically used in research on teaching. Topics covered include a conceptual model for teaching; preservice and inservice teacher training; appropriate…

Machine Shop I. Learning Activity Packets (LAPs). Section C--Hand and Bench Work.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This document contains two learning activity packets (LAPs) for the "hand and bench work" instructional area of a Machine Shop I course. The two LAPs cover the following topics: hand and bench work and pedestal grinder. Each LAP contains a cover sheet that describes its purpose, an introduction, and the tasks included in the LAP;…

Machine Shop I. Learning Activity Packets (LAPs). Section D--Power Saws and Drilling Machines.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This document contains two learning activity packets (LAPs) for the "power saws and drilling machines" instructional area of a Machine Shop I course. The two LAPs cover the following topics: power saws and drill press. Each LAP contains a cover sheet that describes its purpose, an introduction, and the tasks included in the LAP; learning…

E-learning in poly-topic settings

DEFF Research Database (Denmark)

Nortvig, Anne-Mette

2014-01-01

In e-learning settings, technology plays several crucial roles in the teaching. In addition to enabling students to gain remote access to teaching, it can also change the way time, space and presence are perceived by students and teachers. This paper attempts to analyse and discuss the consequences...... of the transparency or visibility of e-learning technology inside and outside the classroom and highlight its opportunities of multiplying the learning spaces. In order to be able to differentiate between learning that occurs in the same place and learning that occurs in more places at the same time across virtual...... and physical spaces, the paper therefore introduces the concepts of idiotopic and polytopic learning settings. Furthermore, it argues that the development of polytopic learning designs could help address a potential e- learning demand for teaching presences in more places at the same time....

Topics of Bioengineering in Wikipedia

Directory of Open Access Journals (Sweden)

Vassia Atanassova

2009-10-01

Full Text Available The present report aims to give a snapshot of how topics from the field of bioengineering (bioinformatics, bioprocess systems, biomedical engineering, biotechnology, etc. are currently covered in the free electronic encyclopedia Wikipedia. It also offers insights and information about what Wikipedia is, how it functions, how and when to cite Wikipedian articles, if necessary. Several external wikis, devoted to topics of bioengineering, are also listed and reviewed.

Teaching vocabulary to elementary level students learning Russian as a foreign language: topic "My family and I"

OpenAIRE

Vesnina, L. E.

2017-01-01

The article describes a lesson "My Family and I" for elementary level students learning Russian as a foreign language. This topic is the first in the academic subject Russian Vocabulary. The article sums up the experience of teaching this subject to Chinese students learning Russian at the Ural State Pedagogical University. The content and the aims of the lesson "My Family and I", as well as the subject Russian Vocabulary, are based on the communicative approach to teaching Russian as a forei...

Learning Perl Student Workbook

CERN Document Server

foy, brian

2012-01-01

This is an ebook-only workbook to accompany the 6th Edition of Learning Perl ("the Llama"). If you're just getting started with Perl, this is the book you want-whether you're a programmer, system administrator, or web hacker. This 6th edition of Learning Perl covers recent changes to the language up to version 5.14. Exercises are presented in the first half of the workbook, with the answers in the second. Topics include: Scalar DataLists and ArraysSubroutinesInput and OutputHashesIn the World of Regular ExpressionsMatching with Regular ExpressionsProcessing Text with Regular Expressions10.

Online Video Modules for Improvement in Student Learning

Science.gov (United States)

Lancellotti, Matthew; Thomas, Sunil; Kohli, Chiranjeev

2016-01-01

The objective of this teaching innovation was to incorporate a comprehensive set of short online video modules covering key topics from the undergraduate principles of marketing class, and to evaluate its effectiveness in improving student learning. A quasiexperimental design was used to compare students who had access to video modules with a…

2011 annual meeting on nuclear technology. Pt. 4. Topical sessions

International Nuclear Information System (INIS)

Schoenfelder, Christian; Dams, Wolfgang

2011-01-01

Summary report on the Topical Session of the Annual Conference on Nuclear Technology held in Berlin, 17 to 19 May 2011: - Nuclear Competence in Germany and Europe. The Topical Session: - Sodium Cooled Fast Reactors -- will be covered in a report in a further issue of atw. The reports on the Topical Sessions: - CFD-Simulations for Safety Relevant Tasks; and - Final Disposal: From Scientific Basis to Application; - Characteristics of a High Reliability Organization (HRO) Considering Experience Gained from Events at Nuclear Power Stations -- have been covered in atw 7, 8/9, and 10 (2011). (orig.)

Special Delivery Systems. Self-Esteem Exercises. Learning Disabilities Curriculum.

Science.gov (United States)

Molek, Carol

This publication contains self-esteem exercises and a learning disabilities (LD) curriculum for students with LD in adult basic education programs. The 37 student exercises are designed to build the self-esteem of students with LD. They include self-evaluations, profiles, and checklists. Topics covered are success, decision making, problem…

Key Topics in Sports Medicine

OpenAIRE

2006-01-01

Key Topics in Sports Medicine is a single quick reference source for sports and exercise medicine. It presents the essential information from across relevant topic areas, and includes both the core and emerging issues in this rapidly developing field. It covers: 1) Sports injuries, rehabilitation and injury prevention, 2) Exercise physiology, fitness testing and training, 3) Drugs in sport, 4) Exercise and health promotion, 5) Sport and exercise for special and clinical populations, 6) The ps...

INDIVIDUAL ABILITIES AND LIFELONG LEARNING

Directory of Open Access Journals (Sweden)

Oleksandr Yu. Burov

2016-10-01

Full Text Available This paper describes new and emerging technologies in education, learning environments and methods that have to satisfy lifelong learning, from school age to retirement, on the basis of the psychophysiological model of the cognitive abilities formation. It covers such topics as: evaluation of a human (accounting schoolchildren, youth and adults features abilities and individual propensities, individual trajectory of learning, adaptive learning strategy and design, recommendation on curriculum design, day-to-day support for individual’s learning, assessment of a human learning environment and performance, recommendation regards vocational retraining and/or further carrier etc.. The specific goal is to facilitate a broader understanding of the promise and pitfalls of these technologies and working (learning/teaching environments in global education/development settings, with special regard to the human as subject in the system and to the collaboration of humans and technical, didactic and organizational subsystems.

A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE

Directory of Open Access Journals (Sweden)

H. Y. Gu

2017-09-01

Full Text Available Classification rule set is important for Land Cover classification, which refers to features and decision rules. The selection of features and decision are based on an iterative trial-and-error approach that is often utilized in GEOBIA, however, it is time-consuming and has a poor versatility. This study has put forward a rule set building method for Land cover classification based on human knowledge and machine learning. The use of machine learning is to build rule sets effectively which will overcome the iterative trial-and-error approach. The use of human knowledge is to solve the shortcomings of existing machine learning method on insufficient usage of prior knowledge, and improve the versatility of rule sets. A two-step workflow has been introduced, firstly, an initial rule is built based on Random Forest and CART decision tree. Secondly, the initial rule is analyzed and validated based on human knowledge, where we use statistical confidence interval to determine its threshold. The test site is located in Potsdam City. We utilised the TOP, DSM and ground truth data. The results show that the method could determine rule set for Land Cover classification semi-automatically, and there are static features for different land cover classes.

Students with Learning Disabilities Perspective on Reading Comprehension Instruction: A Qualitative Inquiry

Science.gov (United States)

Rose, Dale Rennard

2017-01-01

The three article dissertation was a presentation of students' with learning disabilities perspectives on reading comprehension instruction. Article 1 set out to provide an historical perspective of reading and reading comprehension instruction. Topics covered in this research review included: reading comprehension, reading and learning…

Section 608 Technician Certification Test Topics

Science.gov (United States)

Identifies some of the topics covered on Section 608 Technician Certification tests such as ozone depletion, the Clean Air Act and Montreal Protocol, Substitute Refrigerants and oils, Refrigeration and Recovery Techniques.

Impact of a Modified Jigsaw Method for Learning an Unfamiliar, Complex Topic

Directory of Open Access Journals (Sweden)

Denise Kolanczyk

2017-09-01

Full Text Available Objective: The aim of this study was to use the jigsaw method with an unfamiliar, complex topic and to evaluate the effectiveness of the jigsaw teaching method on student learning of assigned material (“jigsaw expert” versus non-assigned material (“jigsaw learner”. Innovation: The innovation was implemented in an advanced cardiology elective. Forty students were assigned a pre-reading and one of four valvular heart disorders, a topic not previously taught in the curriculum. A pre-test and post-test evaluated overall student learning. Student performance on pre/post tests as the “jigsaw expert” and “jigsaw learner” was also compared. Critical Analysis: Overall, the post-test mean score of 85.75% was significantly higher than that of the pre-test score of 56.75% (p<0.05. There was significant improvement in scores regardless of whether the material was assigned (“jigsaw experts” pre=58.8% and post=82.5%; p<0.05 or not assigned (“jigsaw learners” pre= 56.25% and post= 86.56%, p<0.05 for pre-study. Next Steps: The use of the jigsaw method to teach unfamiliar, complex content helps students to become both teachers and active listeners, which are essential to the skills and professionalism of a health care provider. Further studies are needed to evaluate use of the jigsaw method to teach unfamiliar, complex content on long-term retention and to further examine the effects of expert vs. non-expert roles. Conflict of Interest We declare no conflicts of interest or financial interests that the authors or members of their immediate families have in any product or service discussed in the manuscript, including grants (pending or received, employment, gifts, stock holdings or options, honoraria, consultancies, expert testimony, patents and royalties.   Type: Note

Treatment Duration of Topics in Senior Secondary School Core ...

African Journals Online (AJOL)

kofimereku

years to better equip the students for university education (Daily Graphic of. September 15th 1998). .... five items similar to those in the SS Mathematics Book 3, and covered all the sub-topics of the topic ..... Soviet Union. United States. 181. 188.

An Active Learning Exercise for Product Design from an Operations Perspective

Science.gov (United States)

Hill, Stephen; Baker, Elizabeth

2016-01-01

Product design is a topic that is regularly covered in introductory operations management courses. However, a pedagogical challenge exists related to the presentation of introductory-level product design in a way that promotes active learning. The hands-on exercise presented in this article provides instructors with an activity that gives students…

KinChem: A Computational Resource for Teaching and Learning Chemical Kinetics

Science.gov (United States)

da Silva, Jose´ Nunes, Jr.; Sousa Lima, Mary Anne; Silva Sousa, Eduardo Henrique; Oliveira Alexandre, Francisco Serra; Melo Leite, Antonio Jose´, Jr.

2014-01-01

This paper presents a piece of educational software covering a comprehensive number of topics of chemical kinetics, which is available free of charge in Portuguese and English. The software was developed to support chemistry educators and students in the teaching-learning process of chemical kinetics by using animations, calculations, and…

Topics in current aerosol research

CERN Document Server

Hidy, G M

1971-01-01

Topics in Current Aerosol Research deals with the fundamental aspects of aerosol science, with emphasis on experiment and theory describing highly dispersed aerosols (HDAs) as well as the dynamics of charged suspensions. Topics covered range from the basic properties of HDAs to their formation and methods of generation; sources of electric charges; interactions between fluid and aerosol particles; and one-dimensional motion of charged cloud of particles. This volume is comprised of 13 chapters and begins with an introduction to the basic properties of HDAs, followed by a discussion on the form

Procurement Service launches new eLearning module

CERN Multimedia

2015-01-01

The Procurement Service has launched a training module covering “Procurement of supplies at CERN up to 200,000 CHF” in the form of an eLearning, accessible to all users involved in the procurement process. A long version (30 minutes) and a short version (10 minutes) are now available via this link.   The objectives of this eLearning module are as follows: To improve users' knowledge of the Procurement Rules to facilitate the successful completion of a DAI. This will ensure their DAI is processed as quickly as possible; To decrease the number of single tender requests and to avoid non compliant procurement practices such as the fragmentation of requirements into smaller orders. The eLearning module in its short version covers a range of topics, including the role of the technical officer, estimation of order amount (and the subsequent procedure to follow) and preparation and completion of the DAI form. The longer version also includes useful informati...

Using paper presentation breaks during didactic lectures improves learning of physiology in undergraduate students.

Science.gov (United States)

Ghorbani, Ahmad; Ghazvini, Kiarash

2016-03-01

Many studies have emphasized the incorporation of active learning into classrooms to reinforce didactic lectures for physiology courses. This work aimed to determine if presenting classic papers during didactic lectures improves the learning of physiology among undergraduate students. Twenty-two students of health information technology were randomly divided into the following two groups: 1) didactic lecture only (control group) and 2) didactic lecture plus paper presentation breaks (DLPP group). In the control group, main topics of gastrointestinal and endocrine physiology were taught using only the didactic lecture technique. In the DLPP group, some topics were presented by the didactic lecture method (similar to the control group) and some topics were taught by the DLPP technique (first, concepts were covered briefly in a didactic format and then reinforced with presentation of a related classic paper). The combination of didactic lecture and paper breaks significantly improved learning so that students in the DLPP group showed higher scores on related topics compared with those in the control group (P physiology. Copyright © 2016 The American Physiological Society.

Topics in supergravity and string theory

International Nuclear Information System (INIS)

Eastaugh, A.G.

1987-01-01

The first topic covered in this dissertation concerns the harmonic expansion technique and its application to the dimensional compactification of higher dimensional supergravity. A simple example is given to explain the method and then the method is applied to the problem of obtaining the mass spectrum of the squashed seven-sphere compactification of eleven dimensional supergravity. The second topic concerns the application of Fujikawa's method of anomaly calculation to the calculation of the critical dimension of various string models. The third topic is a study and explicit calculation of the Fock space representation of the vertex in Witten's formulation of the interacting open bosonic string field theory

Fostering Topic Knowledge: Essential for Academic Writing

Science.gov (United States)

Proske, Antje; Kapp, Felix

2013-01-01

Several researchers emphasize the role of the writer's topic knowledge for writing. In academic writing topic knowledge is often constructed by studying source texts. One possibility to support that essential phase of the writing process is to provide interactive learning questions which facilitate the construction of an adequate situation…

Advances in independent component analysis and learning machines

CERN Document Server

Bingham, Ella; Laaksonen, Jorma; Lampinen, Jouko

2015-01-01

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithmUnsupervised deep learning Machine vision and image retrieval A review of developments in the t

Non-linear learning in online tutorial to enhance students’ knowledge on normal distribution application topic

Science.gov (United States)

Kartono; Suryadi, D.; Herman, T.

2018-01-01

This study aimed to analyze the enhancement of non-linear learning (NLL) in the online tutorial (OT) content to students’ knowledge of normal distribution application (KONDA). KONDA is a competence expected to be achieved after students studied the topic of normal distribution application in the course named Education Statistics. The analysis was performed by quasi-experiment study design. The subject of the study was divided into an experimental class that was given OT content in NLL model and a control class which was given OT content in conventional learning (CL) model. Data used in this study were the results of online objective tests to measure students’ statistical prior knowledge (SPK) and students’ pre- and post-test of KONDA. The statistical analysis test of a gain score of KONDA of students who had low and moderate SPK’s scores showed students’ KONDA who learn OT content with NLL model was better than students’ KONDA who learn OT content with CL model. Meanwhile, for students who had high SPK’s scores, the gain score of students who learn OT content with NLL model had relatively similar with the gain score of students who learn OT content with CL model. Based on those findings it could be concluded that the NLL model applied to OT content could enhance KONDA of students in low and moderate SPK’s levels. Extra and more challenging didactical situation was needed for students in high SPK’s level to achieve the significant gain score.

SRS SLUDGE BATCH QUALIFICATION AND PROCESSING; HISTORICAL PERSPECTIVE AND LESSONS LEARNED

Energy Technology Data Exchange (ETDEWEB)

Cercy, M.; Peeler, D.; Stone, M.

2013-09-25

This report provides a historical overview and lessons learned associated with the SRS sludge batch (SB) qualification and processing programs. The report covers the framework of the requirements for waste form acceptance, the DWPF Glass Product Control Program (GPCP), waste feed acceptance, examples of how the program complies with the specifications, an overview of the Startup Program, and a summary of continuous improvements and lessons learned. The report includes a bibliography of previous reports and briefings on the topic.

Optimized extreme learning machine for urban land cover classification using hyperspectral imagery

Science.gov (United States)

Su, Hongjun; Tian, Shufang; Cai, Yue; Sheng, Yehua; Chen, Chen; Najafian, Maryam

2017-12-01

This work presents a new urban land cover classification framework using the firefly algorithm (FA) optimized extreme learning machine (ELM). FA is adopted to optimize the regularization coefficient C and Gaussian kernel σ for kernel ELM. Additionally, effectiveness of spectral features derived from an FA-based band selection algorithm is studied for the proposed classification task. Three sets of hyperspectral databases were recorded using different sensors, namely HYDICE, HyMap, and AVIRIS. Our study shows that the proposed method outperforms traditional classification algorithms such as SVM and reduces computational cost significantly.

Neural networks and statistical learning

CERN Document Server

Du, Ke-Lin

2014-01-01

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardw...

Getting Started with Topic Modeling and MALLET

Directory of Open Access Journals (Sweden)

Shawn Graham

2012-09-01

Full Text Available In this lesson you will first learn what topic modeling is and why you might want to employ it in your research. You will then learn how to install and work with the MALLET natural language processing toolkit to do so. MALLET involves modifying an environment variable (essentially, setting up a short-cut so that your computer always knows where to find the MALLET program and working with the command line (ie, by typing in commands manually, rather than clicking on icons or menus. We will run the topic modeller on some example files, and look at the kinds of outputs that MALLET installed. This will give us a good idea of how it can be used on a corpus of texts to identify topics found in the documents without reading them individually.

Learning From Short Text Streams With Topic Drifts.

Science.gov (United States)

Li, Peipei; He, Lu; Wang, Haiyan; Hu, Xuegang; Zhang, Yuhong; Li, Lei; Wu, Xindong

2017-09-18

Short text streams such as search snippets and micro blogs have been popular on the Web with the emergence of social media. Unlike traditional normal text streams, these data present the characteristics of short length, weak signal, high volume, high velocity, topic drift, etc. Short text stream classification is hence a very challenging and significant task. However, this challenge has received little attention from the research community. Therefore, a new feature extension approach is proposed for short text stream classification with the help of a large-scale semantic network obtained from a Web corpus. It is built on an incremental ensemble classification model for efficiency. First, more semantic contexts based on the senses of terms in short texts are introduced to make up of the data sparsity using the open semantic network, in which all terms are disambiguated by their semantics to reduce the noise impact. Second, a concept cluster-based topic drifting detection method is proposed to effectively track hidden topic drifts. Finally, extensive studies demonstrate that as compared to several well-known concept drifting detection methods in data stream, our approach can detect topic drifts effectively, and it enables handling short text streams effectively while maintaining the efficiency as compared to several state-of-the-art short text classification approaches.

Teachers' opinion about learning continuum based on student's level of competence and specific pedagogical material in classification topics

Science.gov (United States)

Andriani, Aldina Eka; Subali, Bambang

2017-08-01

This research discusses learning continuum development for designing a curriculum. The objective of this study is to gather the opinion of public junior and senior high school teachers about learning continuum based on student's level of competence and specific pedagogical material in classification topics. This research was conducted in Yogyakarta province from October 2016 to January 2017. This research utilizes a descriptive survey method. Respondents in this study consist of 281 science teachers at junior and senior high school in Yogyakarta city and 4 regencies namely Sleman, Bantul, Kulonprogo, and Gunung Kidul. The sample were taken using a census. The collection of data used questionnaire that had been validated from the aspects of construct validity and experts judgements. Data were analyzed using a descriptive analysis technique. The results of the analysis show that the opinions of teachers regarding specific pedagogical material in classification topics of living things at the junior high school taught in grade VII to the ability level of C2 (Understanding). At senior high school level, it is taught in grade X with the ability level C2 (Understanding). Based on these results, it can be concluded that the opinions of teachers still refer to the current syllabus and curriculum so that the teachers do not have pure opinions about the student's competence level in classification topics that should be taught at the level of the grade in accordance with the level of corresponding competency.

Topics of Astronomy in Physics Teaching: the study of the oceanic tides addressed to the significant learning

Science.gov (United States)

Dos Santos Neta, Maria Luiza

2017-02-01

In the Medium Teaching when topics of Astronomy are supplied happen in Physics discipline with the use of methodologies that don't contribute to the development of the learning significant, however to turn them effective it is fundamental, for the apprehension of habitual events. By this context intends to analyze and to understand the current contributions of the use of a proposal of Teaching of Physics promoted the significant learning again, when topics of Astronomy be worked with the students of the Medium Teaching of a public school of the State Net of Teaching located in the city of Sirinhaém, in the south coast of Pernambuco. This research presented characteristic qualitative, as well as quantitative contemplating methodological procedures, such as: the application of a Pre-Test, the didactic intervention/sequences stages of the Cycle of Experience and Post-Test, following by situation-problem. As central theme one worked contents regarding the Astronomy, with prominence for the oceanic tides, being the significant learning stimulated to each stage: exhibition of videos, slides groups, discussions and activities written. The results obtained in the Pre-Test demonstrated that, the conditions of the previous knowledge presented by the students, in relation to the theme to be worked - oceanic tides - if they found inadequate to begin the study on the phenomenon. However, after the application of the didactic intervention/ sequences stages and comparing the result of the Post-Test in function of the Pre-Test was verified that, the previous knowledge are in appropriate conditions for the understanding of the event, as well as, for they be used in situation-problem that demands her understanding They suggests her that, the application of the Cycle of Experience as didactic sequence frequently happens, because it is verified that her use potentiates the construction of the significant learning.

Covering of the electric power service

International Nuclear Information System (INIS)

Unidad de Planeacion Minero Energetica, UPME

2000-01-01

In this article it is sought to deepen more in the topic of the covering of the electric power service, especially in the related with the mechanisms that could facilitate their amplification. In the new market outline, in the one that the participation of the agents is encouraged in all the activities of the chain of services in which the state is not direct lender of the same one, it is confused the form like a covering will be achieved that is of agreement with the goals that intend in the national plan of development and in the sub sectorial plans. Although the rules of the market one comes consolidating, the process of linking of the private capital, especially in the distribution activity, it evidences the importance of to settle down and to define responsibilities and explicit mechanisms in the topic of expansion of the covering. A first interpretation of the ruled indicates the obligation of the state of extending the covering to 100% and of assuming the projects that don't undertake the matters. This would be the reading from the traditional mentality. However, the regulation of you public services of electricity don't demand a total covering, but rather it covers to the users that have the capacity to assume, with their own resources, the efficient costs of benefit. The service will also be lent to residential users that don't have payment capacity, when there are contribution resources or fiscal resources for subsidiary

Correlated Topic Vector for Scene Classification.

Science.gov (United States)

Wei, Pengxu; Qin, Fei; Wan, Fang; Zhu, Yi; Jiao, Jianbin; Ye, Qixiang

2017-07-01

Scene images usually involve semantic correlations, particularly when considering large-scale image data sets. This paper proposes a novel generative image representation, correlated topic vector, to model such semantic correlations. Oriented from the correlated topic model, correlated topic vector intends to naturally utilize the correlations among topics, which are seldom considered in the conventional feature encoding, e.g., Fisher vector, but do exist in scene images. It is expected that the involvement of correlations can increase the discriminative capability of the learned generative model and consequently improve the recognition accuracy. Incorporated with the Fisher kernel method, correlated topic vector inherits the advantages of Fisher vector. The contributions to the topics of visual words have been further employed by incorporating the Fisher kernel framework to indicate the differences among scenes. Combined with the deep convolutional neural network (CNN) features and Gibbs sampling solution, correlated topic vector shows great potential when processing large-scale and complex scene image data sets. Experiments on two scene image data sets demonstrate that correlated topic vector improves significantly the deep CNN features, and outperforms existing Fisher kernel-based features.

Using Facebook as an informal learning environment.

Science.gov (United States)

Cain, Jeff; Policastri, Anne

2011-12-15

To create, implement, and assess the effectiveness of an optional Facebook activity intended to expose students to contemporary business issues not covered in the core content of a pharmacy management and leadership course and to perspectives of experts and thought leaders external to their university. An informal learning strategy was used to create a Facebook group page and guest experts were identified and invited to submit posts pertaining to business-related topics. Students were given instructions for joining the Facebook group but informed that participation was optional. A mixed-methods approach using a student questionnaire, results on examination questions, and a student focus group was used to assess this activity. The informal design with no posting guidelines and no participation requirement was well received by students, who appreciated the unique learning environment and exposure to external experts. Facebook provides an informal learning environment for presenting contemporary topics and the thoughts of guest experts not affiliated with a college or school, thereby exposing students to relevant "real world" issues.

Problem-based learning in communication systems using MATLAB and Simulink

CERN Document Server

Choi, Kwonhue

2016-01-01

Designed to help teach and understand communication systems using a classroom-tested, active learning approach. This book covers the basic concepts of signals, and analog and digital communications, to more complex simulations in communication systems. Problem-Based Learning in Communication Systems Using MATLAB and Simulink begins by introducing MATLAB and Simulink to prepare readers who are unfamiliar with these environments in order to tackle projects and exercises included in this book. Discussions on simulation of signals, filter design, sampling and reconstruction, and analog communications are covered next. The book concludes by covering advanced topics such as Viterbi decoding, OFDM and MIMO. In addition, this book contains examples of how to convert waveforms, constructed in simulation, into electric signals. It also includes problems illustrating how to complete actual wireless communications in the band near ultrasonic frequencies. A content-m pping table is included in this book to help instruc...

Meter-scale Urban Land Cover Mapping for EPA EnviroAtlas Using Machine Learning and OBIA Remote Sensing Techniques

Science.gov (United States)

Pilant, A. N.; Baynes, J.; Dannenberg, M.; Riegel, J.; Rudder, C.; Endres, K.

2013-12-01

US EPA EnviroAtlas is an online collection of tools and resources that provides geospatial data, maps, research, and analysis on the relationships between nature, people, health, and the economy (http://www.epa.gov/research/enviroatlas/index.htm). Using EnviroAtlas, you can see and explore information related to the benefits (e.g., ecosystem services) that humans receive from nature, including clean air, clean and plentiful water, natural hazard mitigation, biodiversity conservation, food, fuel, and materials, recreational opportunities, and cultural and aesthetic value. EPA developed several urban land cover maps at very high spatial resolution (one-meter pixel size) for a portion of EnviroAtlas devoted to urban studies. This urban mapping effort supported analysis of relations among land cover, human health and demographics at the US Census Block Group level. Supervised classification of 2010 USDA NAIP (National Agricultural Imagery Program) digital aerial photos produced eight-class land cover maps for several cities, including Durham, NC, Portland, ME, Tampa, FL, New Bedford, MA, Pittsburgh, PA, Portland, OR, and Milwaukee, WI. Semi-automated feature extraction methods were used to classify the NAIP imagery: genetic algorithms/machine learning, random forest, and object-based image analysis (OBIA). In this presentation we describe the image processing and fuzzy accuracy assessment methods used, and report on some sustainability and ecosystem service metrics computed using this land cover as input (e.g., carbon sequestration from USFS iTREE model; health and demographics in relation to road buffer forest width). We also discuss the land cover classification schema (a modified Anderson Level 1 after the National Land Cover Data (NLCD)), and offer some observations on lessons learned. Meter-scale urban land cover in Portland, OR overlaid on NAIP aerial photo. Streets, buildings and individual trees are identifiable.

Building bridges across electronic health record systems through inferred phenotypic topics.

Science.gov (United States)

Chen, You; Ghosh, Joydeep; Bejan, Cosmin Adrian; Gunter, Carl A; Gupta, Siddharth; Kho, Abel; Liebovitz, David; Sun, Jimeng; Denny, Joshua; Malin, Bradley

2015-06-01

Data in electronic health records (EHRs) is being increasingly leveraged for secondary uses, ranging from biomedical association studies to comparative effectiveness. To perform studies at scale and transfer knowledge from one institution to another in a meaningful way, we need to harmonize the phenotypes in such systems. Traditionally, this has been accomplished through expert specification of phenotypes via standardized terminologies, such as billing codes. However, this approach may be biased by the experience and expectations of the experts, as well as the vocabulary used to describe such patients. The goal of this work is to develop a data-driven strategy to (1) infer phenotypic topics within patient populations and (2) assess the degree to which such topics facilitate a mapping across populations in disparate healthcare systems. We adapt a generative topic modeling strategy, based on latent Dirichlet allocation, to infer phenotypic topics. We utilize a variance analysis to assess the projection of a patient population from one healthcare system onto the topics learned from another system. The consistency of learned phenotypic topics was evaluated using (1) the similarity of topics, (2) the stability of a patient population across topics, and (3) the transferability of a topic across sites. We evaluated our approaches using four months of inpatient data from two geographically distinct healthcare systems: (1) Northwestern Memorial Hospital (NMH) and (2) Vanderbilt University Medical Center (VUMC). The method learned 25 phenotypic topics from each healthcare system. The average cosine similarity between matched topics across the two sites was 0.39, a remarkably high value given the very high dimensionality of the feature space. The average stability of VUMC and NMH patients across the topics of two sites was 0.988 and 0.812, respectively, as measured by the Pearson correlation coefficient. Also the VUMC and NMH topics have smaller variance of characterizing

Active Learning by Design: An Undergraduate Introductory Public Health Course

Directory of Open Access Journals (Sweden)

Karin eYeatts

2014-12-01

Full Text Available Principles of active learning were used to design and implement an introductory public health course. Students were introduced to the breadth and practice of public health through team and individual-based activities. Team assignments covered topics in epidemiology, biostatistics, health behavior, nutrition, maternal and child health, environment, and health policy. Students developed an appreciation of the population perspective through an experience trip and related intervention project in a public health area of their choice. Students experienced several key critical component elements of a public health undergraduate major; they cover key public health domains, experience public health practice, and integrated concepts with their assignments. In this paper, course assignments, lessons learned, and student successes are described. Given the increased growth in the undergraduate public health major, these active learning assignments may be of interest to undergraduate public health programs at both liberal arts colleges and research universities.

SETI: A good introductory physics topic

Science.gov (United States)

Hobson, Art

1997-04-01

If America is to achieve the science literacy that is essential to industrialized democracy, all students must study such topics as scientific methodology, pseudoscience, ozone depletion, and global warming. My large-enrollment liberal-arts physics course covers the great principles of physics along with several such philosophical and societal topics. It is easy to include the interdisciplinary context of physics in courses for non-scientists, because these courses are flexible, conceptual, and taught to students whose interests span a broad range. Students find these topics relevant and fascinating, leading to large enrollments by non-scientists even in courses labeled ''physics.'' I will discuss my approach to teaching the search for extra-terrestrial intelligence (SETI), a topic with lots of good physics and with connections to scientific methodology and pseudoscience. A textbook for this kind of course has been published, Physics: Concepts and Connections (Prentice-Hall, 1995).

Dressings and topical agents for surgical wounds healing by secondary intention

NARCIS (Netherlands)

Vermeulen, H.; Ubbink, D.; Goossens, A.; de Vos, R.; Legemate, D.

2004-01-01

BACKGROUND: Many different wound dressings and topical applications are used to cover surgical wounds healing by secondary intention. It is not known whether these dressings heal wounds at different rates. OBJECTIVES: To assess the effectiveness of dressings and topical agents on surgical wounds

Conference on Stochastic Analysis and Related Topics

CERN Document Server

Peterson, Jonathon

2017-01-01

The articles in this collection are a sampling of some of the research presented during the conference “Stochastic Analysis and Related Topics”, held in May of 2015 at Purdue University in honor of the 60th birthday of Rodrigo Bañuelos. A wide variety of topics in probability theory is covered in these proceedings, including heat kernel estimates, Malliavin calculus, rough paths differential equations, Lévy processes, Brownian motion on manifolds, and spin glasses, among other topics.

Hot Topics/New Initiatives | Drinking Water in New England ...

Science.gov (United States)

2017-07-06

Information on Drinking Water in New England. Major Topics covered include: Conservation, Private Wells, Preventing Contamination, Drinking Water Sources, Consumer Confidence Reports, and Drinking Water Awards.

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology.

Science.gov (United States)

Hacisalihoglu, Gokhan; Stephens, Desmond; Johnson, Lewis; Edington, Maurice

2018-01-01

Active learning is a pedagogical approach that involves students engaging in collaborative learning, which enables them to take more responsibility for their learning and improve their critical thinking skills. While prior research examined student performance at majority universities, this study focuses on specifically Historically Black Colleges and Universities (HBCUs) for the first time. Here we present work that focuses on the impact of active learning interventions at Florida A&M University, where we measured the impact of active learning strategies coupled with a SCALE-UP (Student Centered Active Learning Environment with Upside-down Pedagogies) learning environment on student success in General Biology. In biology sections where active learning techniques were employed, students watched online videos and completed specific activities before class covering information previously presented in a traditional lecture format. In-class activities were then carefully planned to reinforce critical concepts and enhance critical thinking skills through active learning techniques such as the one-minute paper, think-pair-share, and the utilization of clickers. Students in the active learning and control groups covered the same topics, took the same summative examinations and completed identical homework sets. In addition, the same instructor taught all of the sections included in this study. Testing demonstrated that these interventions increased learning gains by as much as 16%, and students reported an increase in their positive perceptions of active learning and biology. Overall, our results suggest that active learning approaches coupled with the SCALE-UP environment may provide an added opportunity for student success when compared with the standard modes of instruction in General Biology.

Applied atomic and collision physics special topics

CERN Document Server

Massey, H S W; Bederson, Benjamin

1982-01-01

Applied Atomic Collision Physics, Volume 5: Special Topics deals with topics on applications of atomic collisions that were not covered in the first four volumes of the treatise. The book opens with a chapter on ultrasensitive chemical detectors. This is followed by separate chapters on lighting, magnetohydrodynamic electrical power generation, gas breakdown and high voltage insulating gases, thermionic energy converters, and charged particle detectors. Subsequent chapters deal with the operation of multiwire drift and proportional chambers and streamer chambers and their use in high energy p

Effect of problem based approach on medical students’ learning satisfaction and understanding in the histology course topics

Directory of Open Access Journals (Sweden)

MJ Rezaie

2013-05-01

Full Text Available Background and purpose: Problem-based learning (PBL is a term used within education for a range of teaching approaches that encourage students to learn through the structured exploration of a problem. Histology comes early in the curriculum and the medical students seem unable to see the value of the content, they don't appear to be motivated to learn the content. This project used PBL to help the students make the connection between the content and clinical aspects.Methods: Thirty six undergraduate medical students, 22 female and 14 male, enrolled in the histology course during the spring semester of 2008. A survey which collected information relative to gender, course load, and workload and study time was used. The subjects were accessory glands of digestive system histology. The course is designed into four units: tree units of salivary glands, pancreas and gall bladder histology, were presented in a traditional lecture format; the fourth unit, liver was presented in a problem-based format that used clinical practice. Assessment focused on three issues of a. student engagement, b. lesson assessment in terms of clarity, interest and usefulness and c. student understanding.Results: Student comments collected during PBL class periods indicate engagement in the topic. In PBL method of teaching most of responses were consistent with the aim of teaching but in traditional classes few responses relate to the objectives at hand. Students had more active partnership in PBL class. Students found PBL class more useful, interesting and clear in terms of subject material than traditional method.Conclusions: In this project student comments collected during PBL class periods indicated more engagement in the topic. Students’ understanding of material were significantly higher and students’ partnership in PBL class was more than traditional classes.Keywords: PBL,HISTOLOGY, STUDENT PARTICIPATION

Topics in current aerosol research (part2)

CERN Document Server

Hidy, G M

1972-01-01

Topics in Current Aerosol Research, Part 2 contains some selected articles in the field of aerosol study. The chosen topics deal extensively with the theory of diffusiophoresis and thermophoresis. Also covered in the book is the mathematical treatment of integrodifferential equations originating from the theory of aerosol coagulation. The book is the third volume of the series entitled International Reviews in Aerosol Physics and Chemistry. The text offers significant understanding of the methods employed to develop a theory for thermophoretic and diffusiophoretic forces acting on spheres in t

Discriminative Relational Topic Models.

Science.gov (United States)

Chen, Ning; Zhu, Jun; Xia, Fei; Zhang, Bo

2015-05-01

Relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents for document networks, and they have shown promise on predicting network structures and discovering latent topic representations. However, existing RTMs have limitations in both the restricted model expressiveness and incapability of dealing with imbalanced network data. To expand the scope and improve the inference accuracy of RTMs, this paper presents three extensions: 1) unlike the common link likelihood with a diagonal weight matrix that allows the-same-topic interactions only, we generalize it to use a full weight matrix that captures all pairwise topic interactions and is applicable to asymmetric networks; 2) instead of doing standard Bayesian inference, we perform regularized Bayesian inference (RegBayes) with a regularization parameter to deal with the imbalanced link structure issue in real networks and improve the discriminative ability of learned latent representations; and 3) instead of doing variational approximation with strict mean-field assumptions, we present collapsed Gibbs sampling algorithms for the generalized relational topic models by exploring data augmentation without making restricting assumptions. Under the generic RegBayes framework, we carefully investigate two popular discriminative loss functions, namely, the logistic log-loss and the max-margin hinge loss. Experimental results on several real network datasets demonstrate the significance of these extensions on improving prediction performance.

Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student's Understanding of a Topic

Science.gov (United States)

Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D.

2014-01-01

In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…

Learning Matlab a problem solving approach

CERN Document Server

Gander, Walter

2015-01-01

This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.  Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.

Hot Topics in Science Teaching

Science.gov (United States)

Ediger, Marlow

2018-01-01

There are vital topics in science teaching and learning which are mentioned frequently in the literature. Specialists advocate their importance in the curriculum as well as science teachers stress their saliency. Inservice education might well assist new and veteran teachers in knowledge and skills. The very best science lessons and units of…

Continuous outreach activities performed by a student project team of undergraduates and their program topics in optics and photonics

Science.gov (United States)

Hasegawa, Makoto; Tokumitsu, Seika

2016-09-01

The out-of-curriculum project team "Rika-Kobo", organized by undergraduate students, has been actively engaged in a variety of continuous outreach activities in the fields of science and technology including optics and photonics. The targets of their activities cover wide ranges of generations from kids to parents and elderly people, with aiming to promote their interests in various fields of science and technologies. This is an out-of-curriculum project team with about 30 to 40 undergraduate students in several grades and majors. The total number of their activities per year tends to reach 80 to 90 in recent years. Typical activities to be performed by the project team include science classes in elementary and/or secondary schools, science classes at other educational facilities such as science museums, and experiment demonstrations at science events. Popular topics cover wide ranges from explanations and demonstrations of nature phenomena, such as rainbow colors, blue sky, sunset color, to demonstration experiments related to engineering applications, such as polarization of light, LEDs, and optical communications. Experimental topics in optics and photonics are especially popular to the audiences. Those activities are very effective to enhance interests of the audiences in learning related knowledges, irrespective of their generations. Those activities are also helpful for the student members to achieve and/or renew scientific knowledges. In addition, each of the activities provides the student members with effective and advantageous Project-Based-Learning (PBL) style experiences including manufacturing experiences, which are advantageous to cultivate their engineering skills.

STEM based learning to facilitate middle school students’ conceptual change, creativity and collaboration in organization of living system topic

Science.gov (United States)

Rustaman, N. Y.; Afianti, E.; Maryati, S.

2018-05-01

A study using one group pre-post-test experimental design on Life organization system topic was carried out to investigate student’s tendency in learning abstract concept, their creativity and collaboration in designing and producing cell models through STEM-based learning. A number of seventh grade students in Cianjur district were involved as research subjects (n=34). Data were collected using two tier test for tracing changes in student conception before and after the application of STEM-based learning, and rubrics in creativity design (adopted from Torrance) and product on cell models (individually, in group), and rubric for self-assessment and observed skills on collaboration adapted from Marzano’s for life-long learning. Later the data obtained were analyzed qualitatively by interpreting the tendency of data presented in matrix sorted by gender. Research findings showed that the percentage of student’s scientific concept mastery is moderate in general. Their creativity in making a cell model design varied in category (expressing, emergent, excellent, not yet evident). Student’s collaboration varied from excellent, fair, good, less once, to less category in designing cell model. It was found that STEM based learning can facilitate students conceptual change, creativity and collaboration.

Linear Subpixel Learning Algorithm for Land Cover Classification from WELD using High Performance Computing

Science.gov (United States)

Ganguly, S.; Kumar, U.; Nemani, R. R.; Kalia, S.; Michaelis, A.

2017-12-01

In this work, we use a Fully Constrained Least Squares Subpixel Learning Algorithm to unmix global WELD (Web Enabled Landsat Data) to obtain fractions or abundances of substrate (S), vegetation (V) and dark objects (D) classes. Because of the sheer nature of data and compute needs, we leveraged the NASA Earth Exchange (NEX) high performance computing architecture to optimize and scale our algorithm for large-scale processing. Subsequently, the S-V-D abundance maps were characterized into 4 classes namely, forest, farmland, water and urban areas (with NPP-VIIRS - national polar orbiting partnership visible infrared imaging radiometer suite nighttime lights data) over California, USA using Random Forest classifier. Validation of these land cover maps with NLCD (National Land Cover Database) 2011 products and NAFD (North American Forest Dynamics) static forest cover maps showed that an overall classification accuracy of over 91% was achieved, which is a 6% improvement in unmixing based classification relative to per-pixel based classification. As such, abundance maps continue to offer an useful alternative to high-spatial resolution data derived classification maps for forest inventory analysis, multi-class mapping for eco-climatic models and applications, fast multi-temporal trend analysis and for societal and policy-relevant applications needed at the watershed scale.

The Effects of a Modified Cover, Copy, Compare on Spelling Tests and in Written Compositions for Three Students with Specific Learning Disabilities

Science.gov (United States)

Goodman, Ashley; McLaughlin, T. F.; Derby, K. Mark; Everson, Mary

2015-01-01

Spelling skills are vital in teaching students to read and write effectively. One method to help students learn to spell words correctly is called cover, copy, and compare (CCC). This study was designed to evaluate the effects of using CCC on the spelling and writing skills of three students with learning disabilities. These skills were measured…

Decomposition methods for unsupervised learning

DEFF Research Database (Denmark)

Mørup, Morten

2008-01-01

This thesis presents the application and development of decomposition methods for Unsupervised Learning. It covers topics from classical factor analysis based decomposition and its variants such as Independent Component Analysis, Non-negative Matrix Factorization and Sparse Coding...... methods and clustering problems is derived both in terms of classical point clustering but also in terms of community detection in complex networks. A guiding principle throughout this thesis is the principle of parsimony. Hence, the goal of Unsupervised Learning is here posed as striving for simplicity...... in the decompositions. Thus, it is demonstrated how a wide range of decomposition methods explicitly or implicitly strive to attain this goal. Applications of the derived decompositions are given ranging from multi-media analysis of image and sound data, analysis of biomedical data such as electroencephalography...

Specialists' meeting on fast reactor cover gas purification

International Nuclear Information System (INIS)

1987-01-01

The tentative agenda was adopted by the participants without comment and was followed throughout the meeting. The following topics were discussed at the subsequent sessions of the meeting on 'Fast Reactor Cover Gas Purification': National Position Papers; Impurities: Sources and Measurement; Cover Gas Purification Techniques; Sodium Aerosol Trapping; Radiological Considerations. Based on the papers presented and the discussions following, session summaries and conclusions were prepared and are included in this report

Specialists' meeting on fast reactor cover gas purification

Energy Technology Data Exchange (ETDEWEB)

NONE

1987-07-01

The tentative agenda was adopted by the participants without comment and was followed throughout the meeting. The following topics were discussed at the subsequent sessions of the meeting on 'Fast Reactor Cover Gas Purification': National Position Papers; Impurities: Sources and Measurement; Cover Gas Purification Techniques; Sodium Aerosol Trapping; Radiological Considerations. Based on the papers presented and the discussions following, session summaries and conclusions were prepared and are included in this report.

Topics to be covered in safety analysis reports for nuclear power plants with pressurized water reactors or boiling water reactors in the F.R.G

International Nuclear Information System (INIS)

Kohler, H.A.G.

1977-01-01

This manual aims at defining the standards to be used in Safety Analysis Reports for Nuclear Power Plants with Pressurized Water Reactors or Boiling Water Reactors in the Federal Republic of Germany. The topics to be covered are: Information about the site (geographic situation, settlement, industrial and military facilities, transport and communications, meteorological conditions, geological, hydrological and seismic conditions, radiological background), description of the power plant (building structures, safety vessel, reactor core, cooling system, ventilation systems, steam power plant, electrical facilities, systems for measurement and control), indication of operation (commissioning, operation, safety measures, radiation monitoring, organization), incident analysis (reactivity incidents, loss-of-coolant incidents, external impacts). (HP) [de

The Future of Learning: From eLearning to mLearning.

Science.gov (United States)

Keegan, Desmond

The future of electronic learning was explored in an analysis that viewed the provision of learning at a distance as a continuum and traced the evolution from distance learning to electronic learning to mobile learning in Europe and elsewhere. Special attention was paid to the following topics: (1) the impact of the industrial revolution, the…

HYPER-­TVT: Development and Implementation of an Interactive Learning Environment for Students of Chemical and Process Engineering

Science.gov (United States)

Santoro, Marina; Mazzotti, Marco

2006-01-01

Hyper-TVT is a computer-aided education system that has been developed at the Institute of Process Engineering at the ETH Zurich. The aim was to create an interactive learning environment for chemical and process engineering students. The topics covered are the most important multistage separation processes, i.e. fundamentals of separation…

Assessment of topical microbicides to prevent HIV-1 transmission: concepts, testing, lessons learned.

Science.gov (United States)

Friend, David R; Kiser, Patrick F

2013-09-01

The development of topically applied products capable of preventing vaginal and rectal transmission of HIV-1 has been on-going for nearly 20 years. Despite this, only one clinical trial has demonstrated protection against sexual transmission of HIV-1 in women. This review covers the development of microbicides, also referred to as topical pre-exposure prophylaxis (PrEP), through three stages. The first stage focused on nonspecific agents, including surfactants such as nonoxynol-9 (N-9), to prevent HIV-1 transmission. Unfortunately, N-9 enhanced susceptibility to sexual transmission of HIV-1 when evaluated for efficacy. Soon thereafter, other nonspecific agents (polyanions) were quickly moved into large efficacy trials. Due to a lack of coordination among investigators and funders, a large investment was made in a class of compounds shown ultimately to be ineffective, although poor adherence may have contributed to these findings. The second stage involved the assessment of the antiretroviral drug tenofovir, formulated as a vaginal gel, which was found to be modestly effective in a Phase IIb trial (CAPRISA-004) when dosed in a coitally-dependent manner. In another Phase IIb trial, VOICE (MTN-003), tenofovir gel was found to be ineffective when dosed once-daily in a coitally-independent manner. Based on pharmacokinetic data, it was concluded the participants were poorly adherent to this dosing regimen, leading to a lack of efficacy. Tenofovir gel is currently in a Phase III safety and efficacy trial in South Africa (FACTS-001), using the coitally-dependent dosing regimen employed in CAPRISA-004. We are now in the third stage of microbicide research. The antiretroviral drug dapivirine is currently in two Phase III safety and efficacy studies formulated as a vaginal ring. It is hoped that the once-monthly dosing regimen will lead to higher adherence than found in the VOICE study. It is now clear that product adherence could be the greatest challenge to demonstrating

Using the interactive distance learning broadcast format for international audiences

International Nuclear Information System (INIS)

Callan, C.; Hylko, J.M.

1997-01-01

Since 1989, the National Environmental Technology Network (NETN) has been broadcasting interactive presentations on topics of national and international concern. Each interactive presentation covers such topics as decommissioning, environmental risk management, radioactive waste management, waste minimization, and total quality management. Course materials are provided to the attendees which feature case studies, legal and regulatory issues, and the application of existing and new technologies. The interactive presentations are broadcast by satellite and videotaped, allowing employees to participate who do not have convenient access to traditional classroom training resources. Over 8,000 professionals and students in the United States and several foreign countries have participated in the distance learning broadcast format, thus providing a proven and cost-effective method for managing educational and facility resources effectively. A case study is presented depicting why training, if neglected, can result in costly errors, and how the distance learning broadcast format can be expanded to assist regulatory officials, and even the local populace, in making cost-effective decisions. (author)

An Evaluation of Copy Cover and Compare Spelling Intervention for an Elementary Student with Learning Disabilities: A Replication

Science.gov (United States)

Breach, Celena; McLaughlin, T. F.; Derby, K. Mark

2016-01-01

The purpose of this study was to increase the spelling performance for a 4th grade student with learning disabilities. The second objective was to replicate the document with the efficacy of Copy, Cover, and Compare (CCC) in spelling. The study was conducted in a resource room in a low socio-economic school in the Pacific Northwest. The skill…

Design review report, 241-S-102 cover plate review; TOPICAL

International Nuclear Information System (INIS)

ADAMS, M.R.

1998-01-01

The design for the cover plate and lead plate for shielding on 241-S-102 was reviewed on 10/21/98. All Review Comment Record comments were resolved to the satisfaction of the reviewers. Additional comments were taken during the meeting and were also resolved. A design calculation for the Radiological Design Review Screening was presented as criteria for the use of 1 inch lead plate. The review concluded that the use of 2 inch steel plate and 1 inch lead plate provided the required safety function required by HNF-SD-WM-810-001, 5.3.2.20, Basis for Interim Operation. The design was approved with the incorporated comments as recorded on RCR's and meeting minutes

Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection

Directory of Open Access Journals (Sweden)

Haobo Lyu

2016-06-01

Full Text Available When exploited in remote sensing analysis, a reliable change rule with transfer ability can detect changes accurately and be applied widely. However, in practice, the complexity of land cover changes makes it difficult to use only one change rule or change feature learned from a given multi-temporal dataset to detect any other new target images without applying other learning processes. In this study, we consider the design of an efficient change rule having transferability to detect both binary and multi-class changes. The proposed method relies on an improved Long Short-Term Memory (LSTM model to acquire and record the change information of long-term sequence remote sensing data. In particular, a core memory cell is utilized to learn the change rule from the information concerning binary changes or multi-class changes. Three gates are utilized to control the input, output and update of the LSTM model for optimization. In addition, the learned rule can be applied to detect changes and transfer the change rule from one learned image to another new target multi-temporal image. In this study, binary experiments, transfer experiments and multi-class change experiments are exploited to demonstrate the superiority of our method. Three contributions of this work can be summarized as follows: (1 the proposed method can learn an effective change rule to provide reliable change information for multi-temporal images; (2 the learned change rule has good transferability for detecting changes in new target images without any extra learning process, and the new target images should have a multi-spectral distribution similar to that of the training images; and (3 to the authors’ best knowledge, this is the first time that deep learning in recurrent neural networks is exploited for change detection. In addition, under the framework of the proposed method, changes can be detected under both binary detection and multi-class change detection.

Learning Bridge: Curricular Integration of Didactic and Experiential Education

Science.gov (United States)

Arendt, Cassandra S.; Cawley, Pauline; Buhler, Amber V.; Elbarbry, Fawzy; Roberts, Sigrid C.

2010-01-01

Objectives To assess the impact of a program to integrate introductory pharmacy practice experiences with pharmaceutical science topics by promoting active learning, self-directed learning skills, and critical-thinking skills. Design The Learning Bridge, a curriculum program, was created to better integrate the material first-year (P1) students learned in pharmaceutical science courses into their introductory pharmacy practice experiences. Four Learning Bridge assignments required students to interact with their preceptors and answer questions relating to the pharmaceutical science material concurrently covered in their didactic courses. Assessment Surveys of students and preceptors were conducted to measure the effectiveness of the Learning Bridge process. Feedback indicated the Learning Bridge promoted students' interaction with their preceptors as well as development of active learning, self-directed learning, and critical-thinking skills. Students also indicated that the Learning Bridge assignments increased their learning, knowledge of drug information, and comprehension of relevant data in package inserts. Conclusion The Learning Bridge process integrated the didactic and experiential components of the curriculum, enhancing student learning in both areas, and offered students educational opportunities to interact more with their preceptors. PMID:20498741

Online testable concept maps: benefits for learning about the pathogenesis of disease.

Science.gov (United States)

Ho, Veronica; Kumar, Rakesh K; Velan, Gary

2014-07-01

Concept maps have been used to promote meaningful learning and critical thinking. Although these are crucially important in all disciplines, evidence for the benefits of concept mapping for learning in medicine is limited. We performed a randomised crossover study to assess the benefits of online testable concept maps for learning in pathology by volunteer junior medical students. Participants (n = 65) were randomly allocated to either of two groups with equivalent mean prior academic performance, in which they were given access to either online maps or existing online resources for a 2-week block on renal disease. Groups then crossed over for a 2-week block on hepatic disease. Outcomes were assessed using timed online quizzes, which included questions unrelated to topics in the pathogenesis maps as an internal control. Questionnaires were administered to evaluate students' acceptance of the maps. In both blocks, the group with access to pathogenesis maps achieved significantly higher average scores than the control group on quiz questions related to topics covered by the maps (Block 1: p online testable pathogenesis maps are well accepted and can improve learning of concepts in pathology by medical students. © 2014 John Wiley & Sons Ltd.

Interpretable Topic Features for Post-ICU Mortality Prediction.

Science.gov (United States)

Luo, Yen-Fu; Rumshisky, Anna

2016-01-01

Electronic health records provide valuable resources for understanding the correlation between various diseases and mortality. The analysis of post-discharge mortality is critical for healthcare professionals to follow up potential causes of death after a patient is discharged from the hospital and give prompt treatment. Moreover, it may reduce the cost derived from readmissions and improve the quality of healthcare. Our work focused on post-discharge ICU mortality prediction. In addition to features derived from physiological measurements, we incorporated ICD-9-CM hierarchy into Bayesian topic model learning and extracted topic features from medical notes. We achieved highest AUCs of 0.835 and 0.829 for 30-day and 6-month post-discharge mortality prediction using baseline and topic proportions derived from Labeled-LDA. Moreover, our work emphasized the interpretability of topic features derived from topic model which may facilitates the understanding and investigation of the complexity between mortality and diseases.

Influence of Native Language Vocabulary and Topic Knowledge on Foreign Language Vocabulary Learning in Health Care Providers

Directory of Open Access Journals (Sweden)

Marcia Foresee Drumhiller

2013-05-01

Full Text Available Adults attending short, language for specific purpose courses may have expertise not utilized in general foreign language courses. The present study investigates two factors that may influence the acquisition of medical Spanish vocabulary in such persons: native English vocabulary size and topic knowledge. Forty-four health care workers attended 12 hr of medical Spanish instruction. Prior to instruction, the Nelson–Denny Vocabulary Test, a Medical Spanish vocabulary test, and an English Medical Terminology Test (an indicator of topic knowledge were administered. The Medical Spanish Vocabulary Test was readministered at posttest. Individually, both English medical terminology knowledge and English vocabulary size were significant predictors of medical Spanish vocabulary acquisition, but English medical terminology knowledge explained most of the variance in medical Spanish vocabulary acquisition. The results are discussed in terms of the impact of expert memory organization on the ability to learn new labels in a second language. A curricular shift toward content-centered vocabulary in language for specific purpose courses may be advantageous for some groups of foreign language learners.

Virginia Standards of Learning (Grades 6 through 12) That Are Covered When Students Attend Live Performances of Shakespeare's Plays.

Science.gov (United States)

Brookshire, Cathy A.

This paper outlines Standards of Learning for grades 6-12 students in Virginia that are covered when they attend live performances of William Shakespeare's plays. The paper details separate standards for each grade in English, subdivided into standards which fulfill requirements in Oral Language, Reading/Literature, Writing, and Research, along…

Human Driving Forces and Their Impacts on Land Use/Land Cover. Hands-On! Developing Active Learning Modules on the Human Dimensions of Global Change.

Science.gov (United States)

Moser, Susanne

This learning module aims to engage students in problem solving, critical thinking, scientific inquiry, and cooperative learning. The module is appropriate for use in any introductory or intermediate undergraduate course that focuses on human-environment relationships. The module explains that land use/cover change has occurred at all times in all…

DeepSAT: A Deep Learning Approach to Tree-cover Delineation in 1-m NAIP Imagery for the Continental United States

Science.gov (United States)

Ganguly, S.; Basu, S.; Nemani, R. R.; Mukhopadhyay, S.; Michaelis, A.; Votava, P.

2016-12-01

High resolution tree cover classification maps are needed to increase the accuracy of current land ecosystem and climate model outputs. Limited studies are in place that demonstrates the state-of-the-art in deriving very high resolution (VHR) tree cover products. In addition, most methods heavily rely on commercial softwares that are difficult to scale given the region of study (e.g. continents to globe). Complexities in present approaches relate to (a) scalability of the algorithm, (b) large image data processing (compute and memory intensive), (c) computational cost, (d) massively parallel architecture, and (e) machine learning automation. In addition, VHR satellite datasets are of the order of terabytes and features extracted from these datasets are of the order of petabytes. In our present study, we have acquired the National Agriculture Imagery Program (NAIP) dataset for the Continental United States at a spatial resolution of 1-m. This data comes as image tiles (a total of quarter million image scenes with 60 million pixels) and has a total size of 65 terabytes for a single acquisition. Features extracted from the entire dataset would amount to 8-10 petabytes. In our proposed approach, we have implemented a novel semi-automated machine learning algorithm rooted on the principles of "deep learning" to delineate the percentage of tree cover. Using the NASA Earth Exchange (NEX) initiative, we have developed an end-to-end architecture by integrating a segmentation module based on Statistical Region Merging, a classification algorithm using Deep Belief Network and a structured prediction algorithm using Conditional Random Fields to integrate the results from the segmentation and classification modules to create per-pixel class labels. The training process is scaled up using the power of GPUs and the prediction is scaled to quarter million NAIP tiles spanning the whole of Continental United States using the NEX HPC supercomputing cluster. An initial pilot over the

DeepSAT: A Deep Learning Approach to Tree-Cover Delineation in 1-m NAIP Imagery for the Continental United States

Science.gov (United States)

Ganguly, Sangram; Basu, Saikat; Nemani, Ramakrishna R.; Mukhopadhyay, Supratik; Michaelis, Andrew; Votava, Petr

2016-01-01

High resolution tree cover classification maps are needed to increase the accuracy of current land ecosystem and climate model outputs. Limited studies are in place that demonstrates the state-of-the-art in deriving very high resolution (VHR) tree cover products. In addition, most methods heavily rely on commercial softwares that are difficult to scale given the region of study (e.g. continents to globe). Complexities in present approaches relate to (a) scalability of the algorithm, (b) large image data processing (compute and memory intensive), (c) computational cost, (d) massively parallel architecture, and (e) machine learning automation. In addition, VHR satellite datasets are of the order of terabytes and features extracted from these datasets are of the order of petabytes. In our present study, we have acquired the National Agriculture Imagery Program (NAIP) dataset for the Continental United States at a spatial resolution of 1-m. This data comes as image tiles (a total of quarter million image scenes with 60 million pixels) and has a total size of 65 terabytes for a single acquisition. Features extracted from the entire dataset would amount to 8-10 petabytes. In our proposed approach, we have implemented a novel semi-automated machine learning algorithm rooted on the principles of "deep learning" to delineate the percentage of tree cover. Using the NASA Earth Exchange (NEX) initiative, we have developed an end-to-end architecture by integrating a segmentation module based on Statistical Region Merging, a classification algorithm using Deep Belief Network and a structured prediction algorithm using Conditional Random Fields to integrate the results from the segmentation and classification modules to create per-pixel class labels. The training process is scaled up using the power of GPUs and the prediction is scaled to quarter million NAIP tiles spanning the whole of Continental United States using the NEX HPC supercomputing cluster. An initial pilot over the

Using Technology to Support Discussions on Sensitive Topics in the Study of Business Ethics

Directory of Open Access Journals (Sweden)

Michelle WL Fong

2015-06-01

Full Text Available There is a dearth of research into teaching strategies and learning approaches for units involving sensitive topics that can provoke an emotional response in students. In a business ethics unit, attempts to strike a balance between conceptual knowledge and theory and skills training can be challenging because the unit can involve personal, sensitive or controversial topics. When engaging in deep and meaningful face-to-face discussion, students may unknowingly divulge personal opinions that they later regret or become identified with by other students over time. Value-laden topics may also lead to clashes between students if face-to-face discussions are not managed properly. This paper considers the use of technology in blended learning to provide an optimal learning environment for student discussion on sensitive topics via role-play and simulation in a first-year business ethics unit. The Audience Response System (ARS, online discussion boards and blogs, and wikis are assessed for their suitability in supporting online role-play and simulation. Among these online tools, asynchronous online discussion boards and blogs are the ideal tools for supporting student discussion on sensitive topics in online role-play and simulation.

Review of Recent Applied Linguistics Research in Finland and Sweden, with Specific Reference to Foreign Language Learning and Teaching

Science.gov (United States)

Ringbom, Hakan

2012-01-01

This review covers recent applied linguistic research in Finland and Sweden during the years 2006-2011, with particular emphasis on foreign language learning and teaching. Its primary aim is to inform the international research community on the type of research that is going on in these countries. Special attention is given to topics which have…

Scaffolding vector representations for student learning inside a physics game

Science.gov (United States)

D'Angelo, Cynthia

Vectors and vector addition are difficult concepts for many introductory physics students and traditional instruction does not usually sufficiently address these difficulties. Vectors play a major role in most topics in introductory physics and without a complete understanding of them many students are unable to make sense of the physics topics covered in their classes. Video games present a unique opportunity to help students develop an intuitive understanding of motion, forces, and vectors while immersed in an enjoyable and interactive environment. This study examines two dimensions of design decisions to help students learn while playing a physics-based game. The representational complexity dimension looked at two ways of presenting dynamic information about the velocity of the game object on the screen. The scaffolding context dimension looked at two different contexts for presenting vector addition problems that were related to the game. While all students made significant learning games from the pre to the post test, there were virtually no differences between students along the representational complexity dimension and small differences between students along the scaffolding context dimension. A context that directly connects to students' game playing experience was in most cases more productive to learning than an abstract context.

Exercise and Physical Fitness: MedlinePlus Health Topic

Science.gov (United States)

... Learn to love exercise Make time to move Outdoor fitness routine Physical activity Working with a personal trainer Yoga for health Show More Show Less Related Health Topics Benefits of Exercise Exercise for Children Exercise for Seniors ...

DISTANCE AND BLENDED LEARNING IN ASIA

Directory of Open Access Journals (Sweden)

Yasin OZARSLAN,

2010-04-01

Full Text Available Open and distance learning (ODL is one of the most important trends in education in Asia as well as all around the world. This book reviews ODL/ICT developments in schools, colleges, universities, open schooling, workplace training, professional development and non-formal adult and community education. It examines ODL and ICT experiences, successes and failures of Asian education and training.This is one of the comprehensive books on distance education applications in Asia. It is written by Colin Latchem and Insung Jung. Colin Latchem is an Australian-based consultant in open and distance learning. Insung Jung is Professor of Education, Media & Society at the International Christian University in Tokyo. The book's broader audience is anyone who is interested in ODL. If you are looking for on developments in ODL in Asia, this book is primarily for you. The book is consisted of 266 pages (+xiv covering 12 chapters with a conclusion part in each chapter.These conclusion parts provide a critical look at that chapter‘s issue Topics covered in the book are as follows: Technology, E-readiness And E-learning Readiness, Open Schooling, SchoolNets and Information and Communications Technology (ICT Integration in Classrooms, Higher Education, Lifelong Learning, Workplace Training, Professional Development and Non-Formal Adult and Community Education, New Providers and New Markets, ICT Integration In and Beyond the School, Instructional Design, Learner Support and Assessment in E-Learning, Leadership for Educational Change and Innovation, Quality Assurance and Accreditation, Staff Training and Development, Research, Publication and Translating Research into Practice.

Modern topics in electron scattering

CERN Document Server

Frois, Bernard

1991-01-01

This book summarizes the considerable progress recently achieved in the understanding of nucleon and nuclear structure by using high energy electrons as a probe. A collection of papers discusses in detail the new frontiers of this field. Experimental and theoretical articles cover topics such as the structure of the nucleon, nucleon distributions, many-body correlations, non-nucleonic degrees of freedom and few-body systems. This book is an up-to-date introduction to the research planned with continuous beam electron accelerators.

Antimicrobial topical agents used in the vagina.

Science.gov (United States)

Frey Tirri, Brigitte

2011-01-01

Vaginally applied antimicrobial agents are widely used in the vagina in women with lower genital tract infections. An 'antimicrobial' is a general term that refers to a group of drugs that are effective against bacteria, fungi, viruses and protozoa. Topical treatments can be prescribed for a wide variety of vaginal infections. Many bacterial infections, such as bacterial vaginosis, desquamative inflammatory vaginitis or, as some European authors call it, aerobic vaginitis as well as infection with Staphylococcus aureus or group A streptococci, may be treated in this way. Candida vulvovaginitis is a fungal infection that is very amenable to topical treatment. The most common viral infections which can be treated with topical medications are condylomata acuminata and herpes simplex. The most often encountered protozoal vaginitis, which is caused by Trichomonas vaginalis, may be susceptible to topical medications, although this infection is treated systemically. This chapter covers the wide variety of commonly used topical antimicrobial agents for these diseases and focuses on the individual therapeutic agents and their clinical efficacy. In addition, potential difficulties that can occur in practice, as well as the usage of these medications in the special setting of pregnancy, are described in this chapter. Copyright © 2011 S. Karger AG, Basel.

Evapotranspiration (ET) covers.

Science.gov (United States)

Rock, Steve; Myers, Bill; Fiedler, Linda

2012-01-01

about specific projects using ET covers. There are three general approaches for non-conventional cover systems to achieve approval for installation; the first is when equivalent performance to conventional final cover systems can be demonstrated directly on site. This is the approach used by the Sandia study, by most ACAP sites, and the Rocky Mountain Arsenal. A second approach is used when there are data from a site specific study such as an ACAP installation at a site that has analogous soil and climate conditions. Several sites in Colorado and Southern California have achieved approval based on data from similar sites. The third most common approach for regulatory approval is by installation of data collection systems with the agreement that the permanence of the ET cover installation is contingent on success of the cover in meeting certain performance goals. This article is intended as an introduction to the topic and is not intended to serve as guidance for design or construction, nor indicate the appropriateness of using an ET cover systems at a particular site.

What is the Effect of Case-Based Learning on the Academic Achievement of Students on the Topic of "Biochemical Oxygen Demand?"

Science.gov (United States)

Günter, Tuğçe; Alpat, Sibel Kılınç

2017-11-01

The purpose of this study was to investigate the effect of the case-based learning (CBL) method used in "biochemical oxygen demand (BOD)," which is a topic taught in the environmental chemistry course, at Dokuz Eylul University, on the academic achievement and opinions of students. The research had a quasi-experimental design and the study group consisted of 4th and 5th grade students (N = 18) attending the Chemistry Teaching Program in a university in Izmir. The "Biochemical Oxygen Demand Achievement Test (BODAT)" and the structured interview form were used as data collection tools. The results of BODAT post-test showed the higher increase in the achievement scores of the experimental group may be an indication of the effectiveness of the CBL method in improving academic achievement in the relevant topic. In addition, the experimental and control group students had positive opinions regarding the method, the scenario, and the material. The students found the method, the scenario, and the material to be interesting, understandable/instructional, relatable with everyday life, suitable for the topic, and enhancing active participation.

Learning Analytics for Networked Learning Models

Science.gov (United States)

Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan

2014-01-01

Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models.

Science.gov (United States)

Glueck, Michael; Naeini, Mahdi Pakdaman; Doshi-Velez, Finale; Chevalier, Fanny; Khan, Azam; Wigdor, Daniel; Brudno, Michael

2018-01-01

PhenoLines is a visual analysis tool for the interpretation of disease subtypes, derived from the application of topic models to clinical data. Topic models enable one to mine cross-sectional patient comorbidity data (e.g., electronic health records) and construct disease subtypes-each with its own temporally evolving prevalence and co-occurrence of phenotypes-without requiring aligned longitudinal phenotype data for all patients. However, the dimensionality of topic models makes interpretation challenging, and de facto analyses provide little intuition regarding phenotype relevance or phenotype interrelationships. PhenoLines enables one to compare phenotype prevalence within and across disease subtype topics, thus supporting subtype characterization, a task that involves identifying a proposed subtype's dominant phenotypes, ages of effect, and clinical validity. We contribute a data transformation workflow that employs the Human Phenotype Ontology to hierarchically organize phenotypes and aggregate the evolving probabilities produced by topic models. We introduce a novel measure of phenotype relevance that can be used to simplify the resulting topology. The design of PhenoLines was motivated by formative interviews with machine learning and clinical experts. We describe the collaborative design process, distill high-level tasks, and report on initial evaluations with machine learning experts and a medical domain expert. These results suggest that PhenoLines demonstrates promising approaches to support the characterization and optimization of topic models.

Soil Fertility in relation to Landscape Position and Land Use/Cover Types: A Case Study of the Lake Kivu Pilot Learning Site

Directory of Open Access Journals (Sweden)

Majaliwa Mwanjalolo Jackson-Gilbert

2015-01-01

Full Text Available This study determined the change and distribution of land-uses/covers along the landscape, and evaluated the nutrient status of the top soil layer in the Lake Kivu Pilot Learning Site (LKPLS benchmarked micro-catchments. Soil physical and chemical properties were quantified using triplicate soil samples collected from each land-use/cover at two depths (0–15 and 15–30 cm in three LK PLS Learning Innovation Platform (IP sites (Bufundi in Uganda, Mupfuni-Shanga in D.R. Congo, Gataraga in Rwanda. Small scale agriculture has increased in all the benchmarked micro-catchments at the expense of other land-uses/covers. In the settlement areas land-use/cover distribution along the landscape varied across sites and countries; the major one being eucalyptus woodlots, wetland, and perennials and annuals crops in Bufundi; annuals and perennials crops in Mupfuni-Shanga; and annuals crops in Gataraga. Perennial crops tended to occur at the footslope and valley bottoms, while the annuals occurred at the upper backslopes and summits. Available P and K were relatively higher and C/N ratio (7.28 was the lowest in Mupfuni Shanga. Annual crops had the lowest available P and N across site (P<0.05. The key nutrients N, P and K were below the critical values for plant growth for Bufundi.

Analyzing research trends on drug safety using topic modeling.

Science.gov (United States)

Zou, Chen

2018-04-06

Published drug safety data has evolved in the past decade due to scientific and technological advances in the relevant research fields. Considering that a vast amount of scientific literature has been published in this area, it is not easy to identify the key information. Topic modeling has emerged as a powerful tool to extract meaningful information from a large volume of unstructured texts. Areas covered: We analyzed the titles and abstracts of 4347 articles in four journals dedicated to drug safety from 2007 to 2016. We applied Latent Dirichlet allocation (LDA) model to extract 50 main topics, and conducted trend analysis to explore the temporal popularity of these topics over years. Expert Opinion/Commentary: We found that 'benefit-risk assessment and communication', 'diabetes' and 'biologic therapy for autoimmune diseases' are the top 3 most published topics. The topics relevant to the use of electronic health records/observational data for safety surveillance are becoming increasingly popular over time. Meanwhile, there is a slight decrease in research on signal detection based on spontaneous reporting, although spontaneous reporting still plays an important role in benefit-risk assessment. The topics related to medical conditions and treatment showed highly dynamic patterns over time.

Coming soon - Launch of e-learning initiative for supervisors

CERN Multimedia

2015-01-01

In early July, the Learning and Development group is launching a new learning initiative specifically targeted at supervisors here at CERN. With the assistance of  experts on the subject, we have designed an exclusive series of five e-learning modules. These modules will help supervisors to synthesise some of the important processes that influence and impact their daily work and build key competencies as people managers.   Each module may take up to a maximum of 60 minutes to complete and covers the following topics: • CERN as an Organisation • People Management (Part 1) • People Management (Part 2) • Financial Management • Administrative Information Tools for Supervisors Supervisors will receive an invitation from the L&D group to access the modules on a dedicated e-learning space created on SharePoint. We recommend that all newly appointed supervisors access and complete the five modules within the first month of taking up their su...

Topical nonsteroidal anti-inflammatory drugs for the treatment of pain due to soft tissue injury: diclofenac epolamine topical patch.

Science.gov (United States)

Lionberger, David R; Brennan, Michael J

2010-11-10

The objective of this article is to review published clinical data on diclofenac epolamine topical patch 1.3% (DETP) in the treatment of acute soft tissue injuries, such as strains, sprains, and contusions. Review of published literature on topical nonsteroidal anti-inflammatory drugs (NSAIDs), diclofenac, and DETP in patients with acute soft tissue injuries was included. Relevant literature was identified on MEDLINE using the search terms topical NSAIDs, diclofenac, diclofenac epolamine, acute pain, sports injury, soft tissue injury, strain, sprain, and contusion, and from citations in retrieved articles covering the years 1978-2008. Review of published, randomized clinical trials and meta-analyses shows that topical NSAIDs are significantly more effective than placebo in relieving acute pain; the pooled average relative benefit was 1.7 (95% confidence interval, 1.5-1.9). In a limited number of comparisons, topical and oral NSAIDs provided comparable pain relief, but the use of topical agents produced lower plasma drug concentrations and fewer systemic adverse events (AEs). The physical-chemical properties of diclofenac epolamine make it well suited for topical use. In patients with acute soft tissue injuries treated with DETP, clinical data report an analgesic benefit within hours of the first application, and significant pain relief relative to placebo within 3 days. Moreover, DETP displayed tolerability comparable with placebo; the most common AEs were pruritus and other application site reactions. Review of published literature suggests that DETP is generally safe and well tolerated, clinically efficacious, and a rational treatment option for patients experiencing acute pain associated with strains, sprains, and contusions, and other localized painful conditions.

A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic.

Science.gov (United States)

Fu, Lawrence D; Aphinyanaphongs, Yindalon; Wang, Lily; Aliferis, Constantin F

2011-08-01

Evaluating the biomedical literature and health-related websites for quality are challenging information retrieval tasks. Current commonly used methods include impact factor for journals, PubMed's clinical query filters and machine learning-based filter models for articles, and PageRank for websites. Previous work has focused on the average performance of these methods without considering the topic, and it is unknown how performance varies for specific topics or focused searches. Clinicians, researchers, and users should be aware when expected performance is not achieved for specific topics. The present work analyzes the behavior of these methods for a variety of topics. Impact factor, clinical query filters, and PageRank vary widely across different topics while a topic-specific impact factor and machine learning-based filter models are more stable. The results demonstrate that a method may perform excellently on average but struggle when used on a number of narrower topics. Topic-adjusted metrics and other topic robust methods have an advantage in such situations. Users of traditional topic-sensitive metrics should be aware of their limitations. Copyright © 2011 Elsevier Inc. All rights reserved.

A Comparison of Evaluation Metrics for Biomedical Journals, Articles, and Websites in Terms of Sensitivity to Topic

Science.gov (United States)

Fu, Lawrence D.; Aphinyanaphongs, Yindalon; Wang, Lily; Aliferis, Constantin F.

2011-01-01

Evaluating the biomedical literature and health-related websites for quality are challenging information retrieval tasks. Current commonly used methods include impact factor for journals, PubMed’s clinical query filters and machine learning-based filter models for articles, and PageRank for websites. Previous work has focused on the average performance of these methods without considering the topic, and it is unknown how performance varies for specific topics or focused searches. Clinicians, researchers, and users should be aware when expected performance is not achieved for specific topics. The present work analyzes the behavior of these methods for a variety of topics. Impact factor, clinical query filters, and PageRank vary widely across different topics while a topic-specific impact factor and machine learning-based filter models are more stable. The results demonstrate that a method may perform excellently on average but struggle when used on a number of narrower topics. Topic adjusted metrics and other topic robust methods have an advantage in such situations. Users of traditional topic-sensitive metrics should be aware of their limitations. PMID:21419864

A Model for Collaborative Learning in Undergraduate Climate Change Courses

Science.gov (United States)

Teranes, J. L.

2008-12-01

Like several colleges and universities across the nation, the University of California, San Diego, has introduced climate change topics into many existing and new undergraduate courses. I have administered a program in this area at UCSD and have also developed and taught a new lower-division UCSD course entitled "Climate Change and Society", a general education course for non-majors. This class covers the basics of climate change, such as the science that explains it, the causes of climate change, climate change impacts, and mitigation strategies. The teaching methods for this course stress interdisciplinary approaches. I find that inquiry-based and collaborative modes of learning are particularly effective when applied to science-based climate, environmental and sustainability topics. Undergraduate education is often dominated by a competitive and individualistic approach to learning. In this approach, individual success is frequently perceived as contingent on others being less successful. Such a model is at odds with commonly stated goals of teaching climate change and sustainability, which are to equip students to contribute to the debate on global environmental change and societal adaptation strategies; and to help students become better informed citizens and decision makers. I present classroom-tested strategies for developing collaborative forms of learning in climate change and environmental courses, including team projects, group presentations and group assessment exercises. I show how critical thinking skills and long-term retention of information can benefit in the collaborative mode of learning. I find that a collaborative learning model is especially appropriate to general education courses in which the enrolled student body represents a wide diversity of majors, class level and expertise. I also connect collaborative coursework in interdisciplinary environmental topics directly to applications in the field, where so much "real-world" achievement in

Topic Continuity in Informal Conversations between Native and Non-Native Speakers of English

Science.gov (United States)

Morris-Adams, Muna

2013-01-01

Topic management by non-native speakers (NNSs) during informal conversations has received comparatively little attention from researchers, and receives surprisingly little attention in second language learning and teaching. This article reports on one of the topic management strategies employed by international students during informal, social…

Searchers' relevance judgments and criteria in evaluating Web pages in a learning style perspective

DEFF Research Database (Denmark)

Papaeconomou, Chariste; Zijlema, Annemarie F.; Ingwersen, Peter

2008-01-01

The paper presents the results of a case study of searcher's relevance criteria used for assessments of Web pages in a perspective of learning style. 15 test persons participated in the experiments based on two simulated work tasks that provided cover stories to trigger their information needs. Two...... learning styles were examined: Global and Sequential learners. The study applied eye-tracking for the observation of relevance hot spots on Web pages, learning style index analysis and post-search interviews to gain more in-depth information on relevance behavior. Findings reveal that with respect to use......, they are statistically insignificant. When interviewed in retrospective the resulting profiles tend to become even similar across learning styles but a shift occurs from instant assessments with content features of web pages replacing topicality judgments as predominant relevance criteria....

Topical nonsteroidal anti-inflammatory drugs for the treatment of pain due to soft tissue injury: diclofenac epolamine topical patch

Directory of Open Access Journals (Sweden)

David R Lionberger

2010-11-01

Full Text Available David R Lionberger1, Michael J Brennan21Southwest Orthopedic Group, Houston, TX, USA; 2Department of Medicine, Bridgeport Hospital, Bridgeport, CT, USAAbstract: The objective of this article is to review published clinical data on diclofenac epolamine topical patch 1.3% (DETP in the treatment of acute soft tissue injuries, such as strains, sprains, and contusions. Review of published literature on topical nonsteroidal anti-inflammatory drugs (NSAIDs, diclofenac, and DETP in patients with acute soft tissue injuries was included. Relevant literature was identified on MEDLINE using the search terms topical NSAIDs, diclofenac, diclofenac epolamine, acute pain, sports injury, soft tissue injury, strain, sprain, and contusion, and from citations in retrieved articles covering the years 1978–2008. Review of published, randomized clinical trials and meta-analyses shows that topical NSAIDs are significantly more effective than placebo in relieving acute pain; the pooled average relative benefit was 1.7 (95% confidence interval, 1.5–1.9. In a limited number of comparisons, topical and oral NSAIDs provided comparable pain relief, but the use of topical agents produced lower plasma drug concentrations and fewer systemic adverse events (AEs. The physical–chemical properties of diclofenac epolamine make it well suited for topical use. In patients with acute soft tissue injuries treated with DETP, clinical data report an analgesic benefit within hours of the first application, and significant pain relief relative to placebo within 3 days. Moreover, DETP displayed tolerability comparable with placebo; the most common AEs were pruritus and other application site reactions. Review of published literature suggests that DETP is generally safe and well tolerated, clinically efficacious, and a rational treatment option for patients experiencing acute pain associated with strains, sprains, and contusions, and other localized painful conditions

Consensus standards for introductory e-learning courses in human participants research ethics.

Science.gov (United States)

Williams, John R; Sprumont, Dominique; Hirtle, Marie; Adebamowo, Clement; Braunschweiger, Paul; Bull, Susan; Burri, Christian; Czarkowski, Marek; Fan, Chien Te; Franck, Caroline; Gefenas, Eugenjius; Geissbuhler, Antoine; Klingmann, Ingrid; Kouyaté, Bocar; Kraehenbhul, Jean-Pierre; Kruger, Mariana; Moodley, Keymanthri; Ntoumi, Francine; Nyirenda, Thomas; Pym, Alexander; Silverman, Henry; Tenorio, Sara

2014-06-01

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Approaches to probabilistic model learning for mobile manipulation robots

CERN Document Server

Sturm, Jürgen

2013-01-01

Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context. Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real-world conditions, be able to deal with considerable amounts of noise and uncertainty, and operate without the supervision of an expert. This book presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or more robotic manipulators, to autonomously adapt to new or changing situations. The approaches presented in this book cover the following topics: (1) learning the robot's kinematic structure and properties using actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating,...

Validity And Practicality of Experiment Integrated Guided Inquiry-Based Module on Topic of Colloidal Chemistry for Senior High School Learning

Science.gov (United States)

Andromeda, A.; Lufri; Festiyed; Ellizar, E.; Iryani, I.; Guspatni, G.; Fitri, L.

2018-04-01

This Research & Development study aims to produce a valid and practical experiment integrated guided inquiry based module on topic of colloidal chemistry. 4D instructional design model was selected in this study. Limited trial of the product was conducted at SMAN 7 Padang. Instruments used were validity and practicality questionnaires. Validity and practicality data were analyzed using Kappa moment. Analysis of the data shows that Kappa moment for validity was 0.88 indicating a very high degree of validity. Kappa moments for the practicality from students and teachers were 0.89 and 0.95 respectively indicating high degree of practicality. Analysis on the module filled in by students shows that 91.37% students could correctly answer critical thinking, exercise, prelab, postlab and worksheet questions asked in the module. These findings indicate that the integrated guided inquiry based module on topic of colloidal chemistry was valid and practical for chemistry learning in senior high school.

Topics in radiation dosimetry radiation dosimetry

CERN Document Server

1972-01-01

Radiation Dosimetry, Supplement 1: Topics in Radiation Dosimetry covers instruments and techniques in dealing with special dosimetry problems. The book discusses thermoluminescence dosimetry in archeological dating; dosimetric applications of track etching; vacuum chambers of radiation measurement. The text also describes wall-less detectors in microdosimetry; dosimetry of low-energy X-rays; and the theory and general applicability of the gamma-ray theory of track effects to various systems. Dose equivalent determinations in neutron fields by means of moderator techniques; as well as developm

Topical Session on Materials Management

International Nuclear Information System (INIS)

2002-01-01

At its second meeting, in Paris, 5-7 December 2001, the WPDD held two topical sessions on the D and D Safety Case and on the Management of Materials from D and D, respectively. This report documents the topical session on the management of materials. Presentations during the topical session covered key aspects of the management of materials and meant to provide an exchange of information and experience, including: Experience and lessons learnt from VLLW and non-radioactive material management in Spain and Germany with special attention to recycling (How specific solutions came about? Are there 'generic' examples for wider adoption?); Risk assessment of recycling and non-recycling: a CPD study; Waste acceptance issues within different national contexts (What constraints are there on the waste receiving body and what flexibility can the latter have? What constraints does this impose on D and D implementers? What about wastes are without current solution? What needs to be done? What about large items and 'difficult' waste in general?); Radiological characterisation of materials during decommissioning, particularly difficult situations - large volumes, large items,.. wastes, heterogeneous streams (What examples of established practice? What are the approaches or aspects that set the regulatory requirements? How can the flow rates be large but the answers acceptable? How much is needed to be known for later action, e. g., disposal, release, protection of worker, etc.); Radiological characterisation of buildings as they stand, in order to allow conventional demolition (What are strategies for optimisation of characterisation? How much needs to be known to take action later? e.g. for storage, disposal, release, cost estimation and ALARA? What needs to be done in advance and after decommissioning/dismantling?). At the end of each presentation time was allotted for discussion of the paper. Integral to the Topical Session was a facilitated plenary discussion on the topical

Exploiting Topic Pragmatics for New Event Detection in TDT-2003

National Research Council Canada - National Science Library

Braun, Ronald K; Kaneshiro, Ryan

2003-01-01

.... We combined a number of "pragmatics-based" classifiers in an ensemble-learning framework to identify the first story of a new topic to link subsequent stories together as they unfold across multiple news streams...

Teaching neurology to medical students with a simplified version of team-based learning.

Science.gov (United States)

Brich, Jochen; Jost, Meike; Brüstle, Peter; Giesler, Marianne; Rijntjes, Michel

2017-08-08

To compare the effect of a simplified version of team-based learning (sTBL), an active learning/small group instructional strategy, with that of the traditionally used small group interactive seminars on the acquisition of knowledge and clinical reasoning (CR) skills. Third- and fourth-year medical students (n = 122) were randomly distributed into 2 groups. A crossover design was used in which 2 neurologic topics were taught by sTBL and 2 by small group interactive seminars. Knowledge was assessed with a multiple-choice question examination (MCQE), CR skills with a key feature problem examination (KFPE). Questionnaires were used for further methodologic evaluation. No group differences were found in the MCQE results. sTBL instruction of the topic "acute altered mental status" was associated with a significantly better student performance in the KFPE ( p = 0.008), with no differences in the other 3 topics covered. Although both teaching methods were highly rated by the students, a clear majority voted for sTBL as their preferred future teaching method. sTBL served as an equivalent alternative to small group interactive seminars for imparting knowledge and teaching CR skills, and was particularly advantageous for teaching CR in the setting of a complex neurologic topic. Furthermore, students reported a strong preference for the sTBL approach, making it a promising tool for effectively teaching neurology. © 2017 American Academy of Neurology.

Selected Topics in MicroNano-robotics for Biomedical Applications

CERN Document Server

2013-01-01

Selected Topics in Micro/Nano-robotics for Biomedical Applications features a system approach and incorporates modern methodologies in autonomous mobile robots for programmable and controllable micro/nano-robots aiming at biomedical applications. The book provides chapters of instructional materials and cutting-edge research results in micro/nanorobotics for biomedical applications. The book presents new sensing technology on nanofibers, new power supply techniques including miniature fuel cells and energy harvesting devices, and manipulation techniques including AFM-based nano-robotic manipulation, robot-aided optical tweezers, and robot-assisted catheter surgery systems. It also contains case studies on using micro/nano-robots in biomedical environments and in biomedicine, as well as a design example to conceptually develop a Vitamin-pill sized robot to enter human’s gastrointestinal tract. Each chapter covers a different topic of the highly interdisciplinary area. Bring together the selected topics into ...

Advanced topics in the arithmetic of elliptic curves

CERN Document Server

Silverman, Joseph H

1994-01-01

In the introduction to the first volume of The Arithmetic of Elliptic Curves (Springer-Verlag, 1986), I observed that "the theory of elliptic curves is rich, varied, and amazingly vast," and as a consequence, "many important topics had to be omitted." I included a brief introduction to ten additional topics as an appendix to the first volume, with the tacit understanding that eventually there might be a second volume containing the details. You are now holding that second volume. it turned out that even those ten topics would not fit Unfortunately, into a single book, so I was forced to make some choices. The following material is covered in this book: I. Elliptic and modular functions for the full modular group. II. Elliptic curves with complex multiplication. III. Elliptic surfaces and specialization theorems. IV. Neron models, Kodaira-Neron classification of special fibers, Tate's algorithm, and Ogg's conductor-discriminant formula. V. Tate's theory of q-curves over p-adic fields. VI. Neron's theory of can...

Proposal for inclusion of topics of particle physics integrated electric charge through a potentially meaningful teaching units

Directory of Open Access Journals (Sweden)

Lisiane Barcellos Calheiro

2014-03-01

Full Text Available In this article the results of the analysis of free and concept maps produced are presented from the application and evaluation of a Potentially Meaningful Teaching Units – PMTU, which is a teaching sequence based on various learning theories and seeks to promote meaningful student learning. Presents, in this work, part of a research Masters in Science Education which deals with the inclusion of topics of particle physics integrated with traditional content of the third year of high school. It was implemented in a third grade high school class of a State School in Santa Maria, Rio Grande do Sul, and Brazil. The PMTU aimed to address in an integrated manner threads for Particle Physics and Electronics. A didactic sequence that integrated the topics of electric charge, atomic models, elementary particles, quantization and process electrification was applied. Such integration aimed at stimulating the interest on topics related to Modern and Contemporary Physics. It was developed using PMTU activities that aimed at promoting meaningful learning and knowledge construction in the classroom, Since the topics involved were quite complex, this made their integration a real challenge to the high school teachers, and resulted in changes in their teaching practices. Research showed that the inclusion of topics on physics of elementary particles the and electricity, through Potentially Meaningful Teaching Units, show satisfactory results in the students’ learning.

Learning "While" Working: Success Stories on Workplace Learning in Europe

Science.gov (United States)

Lardinois, Rocio

2011-01-01

Cedefop's report "Learning while working: success stories on workplace learning in Europe" presents an overview of key trends in adult learning in the workplace. It takes stock of previous research carried out by Cedefop between 2003 and 2010 on key topics for adult learning: governance and the learning regions; social partner roles in…

Recent advances and perspectives in topical oral anesthesia.

Science.gov (United States)

Franz-Montan, Michelle; Ribeiro, Lígia Nunes de Morais; Volpato, Maria Cristina; Cereda, Cintia Maria Saia; Groppo, Francisco Carlos; Tofoli, Giovana Randomille; de Araújo, Daniele Ribeiro; Santi, Patrizia; Padula, Cristina; de Paula, Eneida

2017-05-01

Topical anesthesia is widely used in dentistry to reduce pain caused by needle insertion and injection of the anesthetic. However, successful anesthesia is not always achieved using the formulations that are currently commercially available. As a result, local anesthesia is still one of the procedures that is most feared by dental patients. Drug delivery systems (DDSs) provide ways of improving the efficacy of topical agents. Areas covered: An overview of the structure and permeability of oral mucosa is given, followed by a review of DDSs designed for dental topical anesthesia and their related clinical trials. Chemical approaches to enhance permeation and anesthesia efficacy, or to promote superficial anesthesia, include nanostructured carriers (liposomes, cyclodextrins, polymeric nanoparticle systems, solid lipid nanoparticles, and nanostructured lipid carriers) and different pharmaceutical dosage forms (patches, bio- and mucoadhesive systems, and hydrogels). Physical methods include pre-cooling, vibration, iontophoresis, and microneedle arrays. Expert opinion: The combination of different chemical and physical methods is an attractive option for effective topical anesthesia in oral mucosa. This comprehensive review should provide the readers with the most relevant options currently available to assist pain-free dental anesthesia. The findings should be considered for future clinical trials.

Applications of Augmented Reality in Informal Science Learning Sites: a Review

Science.gov (United States)

Goff, Eric E.; Mulvey, Kelly Lynn; Irvin, Matthew J.; Hartstone-Rose, Adam

2018-05-01

The importance of increasing interest in the STEM disciplines has been noted in a number of recent national reports. While many previous studies have focused on such efforts inside of the formal classroom, comparatively few have looked closely at informal learning environments. We investigate the innovative use of technology in informal learning by reviewing research on the incorporation of augmented reality (AR) at exhibit-based informal science education (ISE) settings in the literature. We report on the common STEM-focused topics that are covered by current AR applications for ISE learning, as well as the different devices used to support these applications. Additionally, we report on the prevalence of positive learning outcomes and engagement factors commonly associated with the use AR applications in informal environments. This review aims to foster continued development and implementation of AR technology in exhibit-based ISE settings by informing the community of recent findings and promoting additional rigorous research for the future.

AMNT 2014. Key topic: Reactor operation, safety - report. Pt. 2

International Nuclear Information System (INIS)

Fischer, Klaus-Christian; Willschuetz, Hans-Georg; Wortmann, Birgit

2014-01-01

Summary report on the following sessions of the Annual Conference on Nuclear Technology held in Frankfurt, 6 to 8 May 2014: - Thermo Dynamics and Fluid Dynamics: Experiments and Backfittings for the Improvement of Safety and Efficiency; - Safety of Nuclear Installations - Methods, Analyses, Results: In-Vessel Phenomena; Ex-Vessel Phenomena; - Standards and Regulations; Hazard and Safety Analysis; and Validation and Uncertainty Analysis. The other Sessions of the Key Topics 'Reactor Operation, Safety', 'Competence, Innovation, Regulation' and 'Fuel, Decommissioning and Disposal' have been covered in atw 10 (2014) and will be covered in further issues of atw.

AMNT 2014. Key topic: Reactor operation, safety - report. Pt. 3

Energy Technology Data Exchange (ETDEWEB)

Bohnstedt, Angelika [Karlsruher Institut fuer Technologie (KIT), Eggenstein-Leopoldshafen (Germany). Programm Nukleare Sicherheitsforschung (NUKLEAR); Mull, Thomas [AREVA GmbH, Erlangen (Germany). Nuclear Fusion, HTR and Transverse Issues (PTDH-G); Starflinger, Joerg [Stuttgart Univ. (Germany). Inst. fuer Kernenergetik und Energiesysteme (IKE)

2015-01-15

Summary report on the following sessions of the Annual Conference on Nuclear Technology held in Frankfurt, 6 to 8 May 2014: - Reactor Operation, Safety: Radiation Protection (Angelika Bohnstedt); - Competence, Innovation, Regulation: Fusion Technology - Optimisation Steps in the ITER Design (Thomas Mull); - Competence, Innovation, Regulation: Education, Expert Knowledge, Knowledge Transfer (Joerg Starflinger). The other Sessions of the Key Topics 'Reactor Operation, Safety', 'Competence, Innovation, Regulation' and 'Fuel, Decommissioning and Disposal' have been covered in atw 10 and 12 (2015) and will be covered in further issues of atw.

Evaluation of strategies to promote learning using ICT: the case of a course on Topics of Multivariate Statistics

Directory of Open Access Journals (Sweden)

Mario Miguel Ojeda Ramírez

2017-01-01

Full Text Available Currently some teachers implement different methods in order to promote education linked to reality, to provide more effective training and a meaningful learning. Activemethods aim to increase motivation and create scenarios in which student participation is central to achieve a more meaningful learning. This paper reports on the implementation of a process of educational innovation in the course of Topics of Multivariate Statistics offered in the degree in Statistical Sciences and Techniques at the Universidad Veracruzana (Mexico. The strategies used as sets for data collection, design and project development and realization of individual and group presentations are described. Information and communication technologies (ICT used are: EMINUS, distributed education platform of the Universidad Veracruzana, and managing files with Dropbox, plus communication via WhatsApp. The R software was used for statistical analysis and for making presentations in academic forums. To explore students' perceptions depth interviews were conducted and indicators for evaluating the student satisfaction were defined; the results show positive evidence, concluding that students were satisfied with the way that the course was designed and implemented. They also stated that they feel able to apply what they have learned. The opinions put that using these strategies they were feeling in preparation for their professional life. Finally, some suggestions for improving the course in future editions are included.

An enhanced model for automatically extracting topic phrase from ...

African Journals Online (AJOL)

The key benefit foreseen from this automatic document classification is not only related to search engines, but also to many other fields like, document organization, text filtering and semantic index managing. Key words: Keyphrase extraction, machine learning, search engine snippet, document classification, topic tracking ...

Topics in Finance Part I--Introduction and Stockholder Wealth Maximization

Science.gov (United States)

Laux, Judy

2010-01-01

The following article represents the first in a series dedicated to presenting students the opportunity to better understand the key theoretical constructs in the introductory financial management course. The current essay offers an introduction to the series and covers the topics of stockholder wealth maximization and its close cousin, agency…

Value learning through reinforcement : The basics of dopamine and reinforcement learning

NARCIS (Netherlands)

Daw, N.D.; Tobler, P.N.; Glimcher, P.W.; Fehr, E.

2013-01-01

This chapter provides an overview of reinforcement learning and temporal difference learning and relates these topics to the firing properties of midbrain dopamine neurons. First, we review the RescorlaWagner learning rule and basic learning phenomena, such as blocking, which the rule explains. Then

Effects of Cooperative E-Learning on Learning Outcomes

Science.gov (United States)

Yeh, Shang-Pao; Fu, Hsin-Wei

2014-01-01

This study aims to discuss the effects of E-Learning and cooperative learning on learning outcomes. E-Learning covers the dimensions of Interpersonal communication, abundant resources, Dynamic instruction, and Learning community; and, cooperative learning contains three dimensions of Cooperative motive, Social interaction, and Cognition…

Topical Session on Liabilities identification and long-term management at national level - Topical Session held during the 36. Meeting of the RWMC

International Nuclear Information System (INIS)

2003-01-01

These proceedings cover a topical session that was held at the March 2003 meeting of the Radioactive Waste Management Committee. The topical session focused on liability assessment and management for decommissioning of all types of nuclear installations, including decontamination of historic sites and waste management, as applicable. The presentations covered the current, national situations. The first oral presentation, from Switzerland, set the scene by providing a broad coverage of the relevant issues. The subsequent presentations - five from Member countries and one from the EC - described additional national positions and the evolving EC proposed directives. Each oral presentation was followed by a brief period of Q and As for clarification only. A plenary discussion took place on the ensemble of presentations and a Rapporteur provided a report on points made and lessons learnt. Additionally, written contributions were provided by RWMC delegates from several other countries. These are included in the proceedings as are the papers from the oral sessions, and the Rapporteur's report. These papers are not intended to be exhaustive, but to give an informed glimpse of NEA countries' approaches to liability identification and management in the context of nuclear facilities decommissioning and dismantling

An overview of topic modeling and its current applications in bioinformatics.

Science.gov (United States)

Liu, Lin; Tang, Lin; Dong, Wen; Yao, Shaowen; Zhou, Wei

2016-01-01

With the rapid accumulation of biological datasets, machine learning methods designed to automate data analysis are urgently needed. In recent years, so-called topic models that originated from the field of natural language processing have been receiving much attention in bioinformatics because of their interpretability. Our aim was to review the application and development of topic models for bioinformatics. This paper starts with the description of a topic model, with a focus on the understanding of topic modeling. A general outline is provided on how to build an application in a topic model and how to develop a topic model. Meanwhile, the literature on application of topic models to biological data was searched and analyzed in depth. According to the types of models and the analogy between the concept of document-topic-word and a biological object (as well as the tasks of a topic model), we categorized the related studies and provided an outlook on the use of topic models for the development of bioinformatics applications. Topic modeling is a useful method (in contrast to the traditional means of data reduction in bioinformatics) and enhances researchers' ability to interpret biological information. Nevertheless, due to the lack of topic models optimized for specific biological data, the studies on topic modeling in biological data still have a long and challenging road ahead. We believe that topic models are a promising method for various applications in bioinformatics research.

Science teacher orientations and PCK across science topics in grade 9 earth science

Science.gov (United States)

Campbell, Todd; Melville, Wayne; Goodwin, Dawne

2017-07-01

While the literature is replete with studies examining teacher knowledge and pedagogical content knowledge (PCK), few studies have investigated how science teacher orientations (STOs) shape classroom instruction. Therefore, this research explores the interplay between a STOs and the topic specificity of PCK across two science topics within a grade 9 earth science course. Through interviews and observations of one teacher's classroom across two sequentially taught, this research contests the notion that teachers hold a single way of conceptualising science teaching and learning. In this, we consider if multiple ontologies can provide potential explanatory power for characterising instructional enactments. In earlier work with the teacher in this study, using generic interview prompts and general discussions about science teaching and learning, we accepted the existence of a unitary STO and its promise of consistent reformed instruction in the classroom. However, upon close examination of instruction focused on different science topics, evidence was found to demonstrate the explanatory power of multiple ontologies for shaping characteristically different epistemological constructions across science topics. This research points to the need for care in generalising about teacher practice, as it reveals that a teacher's practice, and orientation, can vary, dependent on the context and science topics taught.

Topics and topic prominence in two sign languages

NARCIS (Netherlands)

Kimmelman, V.

2015-01-01

In this paper we describe topic marking in Russian Sign Language (RSL) and Sign Language of the Netherlands (NGT) and discuss whether these languages should be considered topic prominent. The formal markers of topics in RSL are sentence-initial position, a prosodic break following the topic, and

Is cost-covering remuneration fully booked? - Teething problems

International Nuclear Information System (INIS)

Niederhaeusern, A.

2009-01-01

In this interview with Michael Kaufmann, director of the SwissEnergy programme, possible strategies for the correct pricing of electricity and measures for the correction of the dissatisfactory situation now prevailing concerning the cost-covering remuneration of power from renewable sources are discussed. The pricing of electricity from various sources and the indirect costs that are at present not met by non-renewable resources are commented on. Further topics covered include suggestions for strategies for relieving the presently blocked financial promotion of renewables, the goals set for the role to be played by renewable energy in Swiss electricity production in 2030 and suggestions for future political action

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer.

Science.gov (United States)

Tapi Nzali, Mike Donald; Bringay, Sandra; Lavergne, Christian; Mollevi, Caroline; Opitz, Thomas

2017-07-31

Social media dedicated to health are increasingly used by patients and health professionals. They are rich textual resources with content generated through free exchange between patients. We are proposing a method to tackle the problem of retrieving clinically relevant information from such social media in order to analyze the quality of life of patients with breast cancer. Our aim was to detect the different topics discussed by patients on social media and to relate them to functional and symptomatic dimensions assessed in the internationally standardized self-administered questionnaires used in cancer clinical trials (European Organization for Research and Treatment of Cancer [EORTC] Quality of Life Questionnaire Core 30 [QLQ-C30] and breast cancer module [QLQ-BR23]). First, we applied a classic text mining technique, latent Dirichlet allocation (LDA), to detect the different topics discussed on social media dealing with breast cancer. We applied the LDA model to 2 datasets composed of messages extracted from public Facebook groups and from a public health forum (cancerdusein.org, a French breast cancer forum) with relevant preprocessing. Second, we applied a customized Jaccard coefficient to automatically compute similarity distance between the topics detected with LDA and the questions in the self-administered questionnaires used to study quality of life. Among the 23 topics present in the self-administered questionnaires, 22 matched with the topics discussed by patients on social media. Interestingly, these topics corresponded to 95% (22/23) of the forum and 86% (20/23) of the Facebook group topics. These figures underline that topics related to quality of life are an important concern for patients. However, 5 social media topics had no corresponding topic in the questionnaires, which do not cover all of the patients' concerns. Of these 5 topics, 2 could potentially be used in the questionnaires, and these 2 topics corresponded to a total of 3.10% (523

Evaluating topic model interpretability from a primary care physician perspective.

Science.gov (United States)

Arnold, Corey W; Oh, Andrea; Chen, Shawn; Speier, William

2016-02-01

Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. However, the human interpretability of topics discovered from clinical reports is unknown. Our objective is to assess the coherence of topics and their ability to represent the contents of clinical reports from a primary care physician's point of view. Three latent Dirichlet allocation models (50 topics, 100 topics, and 150 topics) were fit to a large collection of clinical reports. Topics were manually evaluated by primary care physicians and graduate students. Wilcoxon Signed-Rank Tests for Paired Samples were used to evaluate differences between different topic models, while differences in performance between students and primary care physicians (PCPs) were tested using Mann-Whitney U tests for each of the tasks. While the 150-topic model produced the best log likelihood, participants were most accurate at identifying words that did not belong in topics learned by the 100-topic model, suggesting that 100 topics provides better relative granularity of discovered semantic themes for the data set used in this study. Models were comparable in their ability to represent the contents of documents. Primary care physicians significantly outperformed students in both tasks. This work establishes a baseline of interpretability for topic models trained with clinical reports, and provides insights on the appropriateness of using topic models for informatics applications. Our results indicate that PCPs find discovered topics more coherent and representative of clinical reports relative to students, warranting further research into their use for automatic summarization. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Professional development in sport psychology : relating learning experiences to learning outcomes

NARCIS (Netherlands)

Hutter, R. I. (Vana); Oldenhof-Veldman, Tanja; Pijpers, J. R. (Rob); Oudejans, Raôul R.D.

2017-01-01

To enhance the training of sport psychology consultants, it is important to know which learning experiences are useful for which components of professional development. We interviewed 15 novice consultants on their learning experiences related to 13 different topics. Traditional learning experiences

European Society for Pediatric Gastroenterology Hepatology and Nutrition's Educational Offer and the Training Syllabus.

Science.gov (United States)

Maglione, Marco; Finizio, Daniela; Veres, Gabor; Pop, Tudor L; Continisio, Grazia I; Papadopoulou, Alexandra; Guarino, Alfredo

2017-11-01

The basic knowledge necessary for a European pediatric gastroenterologist/hepatologist/nutritionist is set-out in the training syllabus (TS) of the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition (ESPGHAN). We retrospectively compared the topics covered in ESPGHAN's training events between 2013 and 2016 with the basic knowledge TS items. Thirty-six initiatives including e-learning were identified. Twelve (33%) courses focused on gastroenterology, 9 (25%) on hepatology, and 10 (28%) on nutrition. Five (14%) courses covered >1 field and were classified "General." The initiatives covered 12 of 57 (21%) TS items; 31 of 57 items (54%) were partially covered; and 14 of 57 (25%) not covered. Five of 9 e-learning courses covered gastroenterology topics, whereas none covered hepatology topics. ESPGHAN's 3-year educational offer partially met the training needs listed in the TS. A coordinated educational program covering all TS items would harmonize training within Europe and would provide trainees with a professional portfolio for employment purposes.

Assessing alternative measures of tree canopy cover: Photo-interpreted NAIP and ground-based estimates

Science.gov (United States)

Chris Toney; Greg Liknes; Andy Lister; Dacia Meneguzzo

2012-01-01

In preparation for the development of the National Land Cover Database (NLCD) 2011 tree canopy cover layer, a pilot project for research and method development was completed in 2010 by the USDA Forest Service Forest Inventory and Analysis (FIA) program and Remote Sensing Applications Center (RSAC).This paper explores one of several topics investigated during the NLCD...

#Healthy Selfies: Exploration of Health Topics on Instagram.

Science.gov (United States)

Muralidhara, Sachin; Paul, Michael J

2018-06-29

Social media provides a complementary source of information for public health surveillance. The dominate data source for this type of monitoring is the microblogging platform Twitter, which is convenient due to the free availability of public data. Less is known about the utility of other social media platforms, despite their popularity. This work aims to characterize the health topics that are prominently discussed in the image-sharing platform Instagram, as a step toward understanding how this data might be used for public health research. The study uses a topic modeling approach to discover topics in a dataset of 96,426 Instagram posts containing hashtags related to health. We use a polylingual topic model, initially developed for datasets in different natural languages, to model different modalities of data: hashtags, caption words, and image tags automatically extracted using a computer vision tool. We identified 47 health-related topics in the data (kappa=.77), covering ten broad categories: acute illness, alternative medicine, chronic illness and pain, diet, exercise, health care & medicine, mental health, musculoskeletal health and dermatology, sleep, and substance use. The most prevalent topics were related to diet (8,293/96,426; 8.6% of posts) and exercise (7,328/96,426; 7.6% of posts). A large and diverse set of health topics are discussed in Instagram. The extracted image tags were generally too coarse and noisy to be used for identifying posts but were in some cases accurate for identifying images relevant to studying diet and substance use. Instagram shows potential as a source of public health information, though limitations in data collection and metadata availability may limit its use in comparison to platforms like Twitter. ©Sachin Muralidhara, Michael J. Paul. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 29.06.2018.

Produção em Administração sobre E-Learning no Brasil: Dissonância com os Hot Topics Internacionais

Directory of Open Access Journals (Sweden)

Battistella, Luciana Flores

2012-06-01

Full Text Available This manuscript analyzes the Brazilian and the international publications on e-learning to verify if they share similarities, especially if the most cited authors are the same in both literatures. The research focused on e-learning in the field of management. We deployed a bibliometric approach to identify the national and the international production. Results show that papers on this subject increased in the last years; that the authors with the greatest number of papers cited are not necessarily the most relevant; that the focus is on the educational field; and that Brazilian studies did not cite the international hot topics. We conclude that there is a gap between the Brazilian and the international literatures, and that the Brazilian papers are based on less relevant references, thus putting in evidence a dissonance between both strands of research.

Nanocrystal: a novel approach to overcome skin barriers for improved topical drug delivery.

Science.gov (United States)

Patel, Viral; Sharma, Om Prakash; Mehta, Tejal

2018-04-01

Skin is an important route of drug delivery for the treatment of various dermatological conditions. The advent of nanotechnology is paving the roadmaps for topical drug delivery by providing sustained release as well as maintaining a localized effect, outweighing the toxicity concern. Area covered: This review highlighted the morphology of skin, its barrier nature as well as drug penetration pathways after topical application of formulations. The existing methods to improve topical drug delivery, by infringing or permeating the skin barriers, are discussed. This context concretes the foundation to accentuate the need for the development of nanocrystal-based topical formulation. The mechanism of drug release, immediate as well as sustained release, after topical administration of drug nanocrystals is also elaborated. The special emphasis is given on the breakthrough achieved, in topical drug delivery using drug nanocrystals, so far in the plethora of literature, patents, and products, under clinical trial as well as in the market. Expert opinion: The current research on nanocrystals for topical drug delivery is highlighting the breakthroughs achieved so far. The output of these research envisages that topical nanocrystals based formulations can be a novel strategy for the drugs which are facing solubility, bioavailability and toxicity concerns.

The Topic of Life and Death in Verbal Creativity of Adolescents aged 14—16 Years

Directory of Open Access Journals (Sweden)

Hoziev V.B.,

2016-01-01

Full Text Available The paper focuses on how adolescents aged 14—16 years use the topic of life and death in their verbal creativity. The authors carried out an experimental research on the genesis of this process and describe how the topic evolves as a specific new formation of verbal creativity in adolescence. At the center of the research were conditions of verbal creativity. The subjects in three samples (traditional learning; spontaneous development; project-based-learning were asked to write an essay on any topic; these essays were subsequently assessed using content analysis. The outcomes revealed that the topic of life and death is likely to appear in the essays of those adolescents whose reference group is more comfortable psychologically. The literary merit of writing statistically correlates with the effectiveness of verbal creativity acquisition. In its psychological content the topic was actually a challenge, a manifestation of rebellion of a young man, an important attempt to get closer to the hidden boundary of the known, a significant step in initiation.

34 CFR 85.350 - What must I do if I learn of information required under § 85.335 after entering into a covered...

Science.gov (United States)

2010-07-01

... 34 Education 1 2010-07-01 2010-07-01 false What must I do if I learn of information required under § 85.335 after entering into a covered transaction with the Department of Education? 85.350 Section 85.350 Education Office of the Secretary, Department of Education GOVERNMENTWIDE DEBARMENT AND...

Can Earth Materials BE Adequately Covered in a - or Two-Semester Course?

Science.gov (United States)

Hefferan, K. P.; O'Brien, J.

2007-12-01

Traditional geology programs offer courses in mineralogy, optical mineralogy, igneous petrology, metamorphic petrology, sedimentology and economic geology. At many universities this suite of mineralogy/petrology courses has been supplanted by a one-semester or two-semester Earth Materials course. This interactive poster poses five questions to faculty and students related to the means by which Earth Materials can be delivered: 1) Available online syllabi demonstrate a wide variation in the topics addressed in Earth Materials courses; is there a standard core of key topics that must be covered and in what level of detail? 2) Can a one-semester or two- semester Earth Materials course adequately cover these topics? 3) Excellent textbooks exist in both mineralogy and in petrology; what textbooks, if any, adequately encompass Earth Materials? 4) How has the online environment changed the way in which we use textbooks in the classroom? 5) Given the evolution of geology programs, higher education and the global economy in the past twenty years, what additional changes can be anticipated with respect to delivery and demand of Earth Materials topics? Answers-- or at least related discussions-- to these questions are encouraged via verbal dialogue among participants and/or by comments written on the poster. Our goal is to solicit faculty, student and industry feedback to create a textbook, curricula and online materials that support an Earth Materials course.

Satellite DNA: An Evolving Topic.

Science.gov (United States)

Garrido-Ramos, Manuel A

2017-09-18

Satellite DNA represents one of the most fascinating parts of the repetitive fraction of the eukaryotic genome. Since the discovery of highly repetitive tandem DNA in the 1960s, a lot of literature has extensively covered various topics related to the structure, organization, function, and evolution of such sequences. Today, with the advent of genomic tools, the study of satellite DNA has regained a great interest. Thus, Next-Generation Sequencing (NGS), together with high-throughput in silico analysis of the information contained in NGS reads, has revolutionized the analysis of the repetitive fraction of the eukaryotic genomes. The whole of the historical and current approaches to the topic gives us a broad view of the function and evolution of satellite DNA and its role in chromosomal evolution. Currently, we have extensive information on the molecular, chromosomal, biological, and population factors that affect the evolutionary fate of satellite DNA, knowledge that gives rise to a series of hypotheses that get on well with each other about the origin, spreading, and evolution of satellite DNA. In this paper, I review these hypotheses from a methodological, conceptual, and historical perspective and frame them in the context of chromosomal organization and evolution.

Inhibition of Corneal Neovascularization by Topical and Subconjunctival Tigecycline

Directory of Open Access Journals (Sweden)

Sertan Goktas

2014-01-01

Full Text Available Objective. To investigate the effects of topical and subconjunctival tigecycline on the prevention of corneal neovascularization. Materials and Methods. Following chemical burn, thirty-two rats were treated daily with topical instillation of 1 mg/mL tigecycline (group 1 or subconjunctival instillation of 1 mg/mL tigecycline (group 3 for 7 days. Control rats received topical (group 2 or subconjunctival (group 4 0.9% saline. Digital photographs of the cornea were taken on the eighth day after treatment and analyzed to determine the percentage area of the cornea covered by neovascularization. Corneal sections were analyzed histopathologically. Results. The median percentages of corneal neovascularization in groups 1 and 3 were 48% (95% confidence interval (CI, 44.2–55.8% and 33.5% (95% CI, 26.6–39.2%, respectively. The median percentages of corneal neovascularization of groups 1 and 3 were significantly lower than that of the control group (P=0.03 and P<0.001, resp.. Histologic examination of samples from groups 1 and 3 showed lower vascularity than that of control groups. Conclusion. Topical and subconjunctival administration of tigecycline seems to be showing promising therapeutic effects on the prevention of corneal neovascularization. Furthermore, subconjunctival administration of tigecycline is more potent than topical administration in the inhibition of corneal neovascularization.

A Topic Model Approach to Representing and Classifying Football Plays

KAUST Repository

Varadarajan, Jagannadan

2013-09-09

We address the problem of modeling and classifying American Football offense teams’ plays in video, a challenging example of group activity analysis. Automatic play classification will allow coaches to infer patterns and tendencies of opponents more ef- ficiently, resulting in better strategy planning in a game. We define a football play as a unique combination of player trajectories. To this end, we develop a framework that uses player trajectories as inputs to MedLDA, a supervised topic model. The joint maximiza- tion of both likelihood and inter-class margins of MedLDA in learning the topics allows us to learn semantically meaningful play type templates, as well as, classify different play types with 70% average accuracy. Furthermore, this method is extended to analyze individual player roles in classifying each play type. We validate our method on a large dataset comprising 271 play clips from real-world football games, which will be made publicly available for future comparisons.

AMNT 2014. Key Topic: Reactor operation, safety - report. Pt. 1

International Nuclear Information System (INIS)

Schaffrath, Andreas

2014-01-01

Summary report on one session of the Annual Conference on Nuclear Technology held in Frankfurt, 6 to 8 May 2014: - Safety of Nuclear Installations - Methods, Analysis, Results: Backfittings for the Improvement of Safety and Efficiency. The other Sessions of the Key Topics 'Reactor Operation, Safety', 'Competence, Innovation, Regulation' and 'Fuel, Decommissioning and Disposal' will be covered in further issues of atw.

Preface to Special Topic: Marine Renewable Energy

Energy Technology Data Exchange (ETDEWEB)

Pinto, F. T.; Iglesias, G.; Santos, P. R.; Deng, Zhiqun

2015-12-30

Marine renewable energy (MRE) is generates from waves, currents, tides, and thermal resources in the ocean. MRE has been identified as a potential commercial-scale source of renewable energy. This special topic presents a compilation of works selected from the 3rd IAHR Europe Congress, held in Porto, Portugal, in 2014. It covers different subjects relevant to MRE, including resource assessment, marine energy sector policies, energy source comparisons based on levelized cost, proof-of-concept and new-technology development for wave and tidal energy exploitation, and assessment of possible inference between wave energy converters (WEC).

Web-Based Instruction, Learning Effectiveness and Learning Behavior: The Impact of Relatedness

Science.gov (United States)

Shieh, Chich-Jen; Liao, Ying; Hu, Ridong

2013-01-01

This study aims to discuss the effects of Web-based Instruction and Learning Behavior on Learning Effectiveness. Web-based Instruction contains the dimensions of Active Learning, Simulation-based Learning, Interactive Learning, and Accumulative Learning; and, Learning Behavior covers Learning Approach, Learning Habit, and Learning Attitude. The…

Topic Modeling of NASA Space System Problem Reports: Research in Practice

Science.gov (United States)

Layman, Lucas; Nikora, Allen P.; Meek, Joshua; Menzies, Tim

2016-01-01

Problem reports at NASA are similar to bug reports: they capture defects found during test, post-launch operational anomalies, and document the investigation and corrective action of the issue. These artifacts are a rich source of lessons learned for NASA, but are expensive to analyze since problem reports are comprised primarily of natural language text. We apply topic modeling to a corpus of NASA problem reports to extract trends in testing and operational failures. We collected 16,669 problem reports from six NASA space flight missions and applied Latent Dirichlet Allocation topic modeling to the document corpus. We analyze the most popular topics within and across missions, and how popular topics changed over the lifetime of a mission. We find that hardware material and flight software issues are common during the integration and testing phase, while ground station software and equipment issues are more common during the operations phase. We identify a number of challenges in topic modeling for trend analysis: 1) that the process of selecting the topic modeling parameters lacks definitive guidance, 2) defining semantically-meaningful topic labels requires nontrivial effort and domain expertise, 3) topic models derived from the combined corpus of the six missions were biased toward the larger missions, and 4) topics must be semantically distinct as well as cohesive to be useful. Nonetheless,topic modeling can identify problem themes within missions and across mission lifetimes, providing useful feedback to engineers and project managers.

Innovative design with learning reflexiveness for developing the Hamiltonian circuit learning games

Directory of Open Access Journals (Sweden)

Meng-Chien Yang

2018-02-01

Full Text Available In this study, we use a new proposed framework to develop the Hamiltonian circuit learning games for college students. The framework is for enhancing learners’ activities with learning reflexiveness. The design of these games is based on this framework to achieve the targeted learning outcomes. In recent years, the game-based learning is a very popular research topic. The Hamiltonian circuit is an important concepts for learning many computer science and electric engineering topics, such as IC design routing algorithm. The developed games use guiding rules to enable students to learn the Hamiltonian circuit in complicate graph problem. After the game, the learners are given a reviewing test which using the animation film for explaining the knowledge. This design concept is different from the previous studies. Through this new design, the outcome gets the better learning results under the effect of reflection. The students will have a deeper impression on the subject, and through self-learning and active thinking, in the game will have a deeper experience.

Antibacterial drugs in the form of sprays for the topical treatment of pyodermas and dermatoses complicated with a secondary infection

Directory of Open Access Journals (Sweden)

YE. V. Matushevskaya

2014-01-01

Full Text Available The article covers issues related to the application of topical antibacterial drugs for the treatment of pyodermic skin diseases. The author describes mechanisms of action and advantages of the topical form of antibiotics and GCS for the topical treatment of pyodermas. The article substantiates indications for the administration of topical GCS drugs in a combination with antibacterial drugs. The efficacy and safety of antibacterial and combination topical drugs such as Neomycin, Oxycort and Polcortolon TC in the form sprays for the treatment of pyodermas and complicated forms of chronic dermatosis.

Peer Learning and Support of Technology in an Undergraduate Biology Course to Enhance Deep Learning

Science.gov (United States)

Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

2012-01-01

This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students’ outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from “knowledge transmitters” to “role model scientists.” PMID:23222836

Peer learning and support of technology in an undergraduate biology course to enhance deep learning.

Science.gov (United States)

Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

2012-01-01

This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students' outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from "knowledge transmitters" to "role model scientists."

A Topic Analysis of ISECON Conference Proceedings from 1982 through 2014

Science.gov (United States)

Clark, Jon; Athey, Susan; Plotnicki, Jon; Barnes, Jay

2016-01-01

The authors note a distinct shift in topics covered in curricula as well as in conference presentations. This research was undertaken to get a better understanding of what these shifts have been, and determine their magnitude over time. Since ISECON has published its conference proceedings in digital format since 1982, this was a logical source of…

Topics in multivariate approximation and interpolation

CERN Document Server

Jetter, Kurt

2005-01-01

This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and Interpolation. The material discussed here has far-reaching applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for gr

Logic and Learning

DEFF Research Database (Denmark)

Hendricks, Vincent Fella; Gierasimczuk, Nina; de Jong, Dick

2014-01-01

Learning and learnability have been long standing topics of interests within the linguistic, computational, and epistemological accounts of inductive in- ference. Johan van Benthem’s vision of the “dynamic turn” has not only brought renewed life to research agendas in logic as the study of inform......Learning and learnability have been long standing topics of interests within the linguistic, computational, and epistemological accounts of inductive in- ference. Johan van Benthem’s vision of the “dynamic turn” has not only brought renewed life to research agendas in logic as the study...... of information processing, but likewise helped bring logic and learning in close proximity. This proximity relation is examined with respect to learning and belief revision, updating and efficiency, and with respect to how learnability fits in the greater scheme of dynamic epistemic logic and scientific method....

How to Improve the Mastery of Students’ Concept on Photosynthesis Topic?

Science.gov (United States)

Ulfa, K.; Anggraeni, S.; Supriatno, B.

2017-09-01

The PPDP learning strategy in this research is the acronym of Practicum method, Presentation-discussion method, Demonstration method, and Presentation-discussion method. This study aims to describe the effect of applying PPDP learning strategies to mastery of high school students’ concepts on photosynthesis topic. The research method is a weak experiment, with the research design “The One-Group Pretest-Postetst Design”. The implementation of the study involved 35 students in one of the high schools in the city of Palembang. The research instrument used is in the form of test equipment, assessment rubric and questionnaire. Data were analyzed using Microsoft Excel and SPSS 24 Program. The statistical result showed that PPDP learning strategy had an effect on improving conceptual and Effective on the achievement of the value on the minimum criteria set by the school. This is due to the transformation of knowledge from hands-on to minds-on through the discovery of facts about the concept of photosynthesis. This fact leads to the construction of further understanding through cognitive sharing when the activities of the discussions formed similarity and consolidation of the concept of photosynthesis intact. In addition, demonstration activities also cause students’ logic of thinking to develop through observation of factors that may affect the rate of photosynthesis. This PPDP learning strategy can be utilized by teachers in explaining photosynthetic topic.

Introduction of active learning method in learning physiology by MBBS students.

Science.gov (United States)

Gilkar, Suhail Ahmad; Lone, Shabiruddin; Lone, Riyaz Ahmad

2016-01-01

Active learning has received considerable attention over the past several years, often presented or perceived as a radical change from traditional instruction methods. Current research on learning indicates that using a variety of teaching strategies in the classroom increases student participation and learning. To introduce active learning methodology, i.e., "jigsaw technique" in undergraduate medical education and assess the student and faculty response to it. This study was carried out in the Department of Physiology in a Medical College of North India. A topic was chosen and taught using one of the active learning methods (ALMs), i.e., jigsaw technique. An instrument (questionnaire) was developed in English through an extensive review of literature and was properly validated. The students were asked to give their response on a five-point Likert scale. The feedback was kept anonymous. Faculty also provided their feedback in a separately provided feedback proforma. The data were collected, compiled, and analyzed. Of 150 students of MBBS-first year batch 2014, 142 participated in this study along with 14 faculty members of the Physiology Department. The majority of the students (>90%) did welcome the introduction of ALM and strongly recommended the use of such methods in teaching many more topics in future. 100% faculty members were of the opinion that many more topics shall be taken up using ALMs. This study establishes the fact that both the medical students and faculty want a change from the traditional way of passive, teacher-centric learning, to the more active teaching-learning techniques.

AMNT 2014. Key Topic: Reactor operation, safety - report. Pt. 1

Energy Technology Data Exchange (ETDEWEB)

Schaffrath, Andreas [Gesellschaft fuer Anlagen- und Reaktorsicherheit mbH (GRS), Garching (Germany). Forschungszentrum

2014-10-15

Summary report on one session of the Annual Conference on Nuclear Technology held in Frankfurt, 6 to 8 May 2014: - Safety of Nuclear Installations - Methods, Analysis, Results: Backfittings for the Improvement of Safety and Efficiency. The other Sessions of the Key Topics 'Reactor Operation, Safety', 'Competence, Innovation, Regulation' and 'Fuel, Decommissioning and Disposal' will be covered in further issues of atw.

Interpretable Active Learning

OpenAIRE

Phillips, Richard L.; Chang, Kyu Hyun; Friedler, Sorelle A.

2017-01-01

Active learning has long been a topic of study in machine learning. However, as increasingly complex and opaque models have become standard practice, the process of active learning, too, has become more opaque. There has been little investigation into interpreting what specific trends and patterns an active learning strategy may be exploring. This work expands on the Local Interpretable Model-agnostic Explanations framework (LIME) to provide explanations for active learning recommendations. W...

Animated movies and cartoons in teaching science topics

OpenAIRE

Jeraj, Tina; Susman, Katarina

2016-01-01

Children meet cartoons in their early childhood in their home environment and afterwards also in their school environment. Cartoons and animated movies in teaching process strongly motivates and evoke good learning processes through watching, discussing and active participation in accompanying classroom activities. In this contribution, the survey about the presence of science topics and science sli-ups (errors, in contrary with reality) in selected cartoons is presented. In the research, ten...

Effect of Worksheet Scaffolds on Student Learning in Problem-Based Learning

Science.gov (United States)

Choo, Serene S. Y.; Rotgans, Jerome I.; Yew, Elaine H. J.; Schmidt, Henk G.

2011-01-01

The purpose of this study was to investigate the effect of worksheets as a scaffolding tool on students' learning achievement in a problem-based learning (PBL) environment. Seventeen PBL classes (N = 241) were randomly assigned to two experimental groups--one with a worksheet provided and the other without. Students' learning of the topic at hand…

Learning Tools for Knowledge Nomads: Using Personal Digital Assistants (PDAs) in Web-based Learning Environments.

Science.gov (United States)

Loh, Christian Sebastian

2001-01-01

Examines how mobile computers, or personal digital assistants (PDAs), can be used in a Web-based learning environment. Topics include wireless networks on college campuses; online learning; Web-based learning technologies; synchronous and asynchronous communication via the Web; content resources; Web connections; and collaborative learning. (LRW)

Students’ Learning Obstacles and Alternative Solution in Counting Rules Learning Levels Senior High School

Directory of Open Access Journals (Sweden)

M A Jatmiko

2017-12-01

Full Text Available The counting rules is a topic in mathematics senior high school. In the learning process, teachers often find students who have difficulties in learning this topic. Knowing the characteristics of students' learning difficulties and analyzing the causes is important for the teacher, as an effort in trying to reflect the learning process and as a reference in constructing alternative learning solutions which appropriate to anticipate students’ learning obstacles. This study uses qualitative methods and involves 70 students of class XII as research subjects. The data collection techniques used in this study is diagnostic test instrument about learning difficulties in counting rules, observation, and interview. The data used to know the learning difficulties experienced by students, the causes of learning difficulties, and to develop alternative learning solutions. From the results of data analysis, the results of diagnostic tests researcher found some obstacles faced by students, such as students get confused in describing the definition, students difficulties in understanding the procedure of solving multiplication rules. Based on those problems, researcher analyzed the causes of these difficulties and make hypothetical learning trajectory as an alternative solution in counting rules learning.

Forest Cover Estimation in Ireland Using Radar Remote Sensing: A Comparative Analysis of Forest Cover Assessment Methodologies

Science.gov (United States)

Devaney, John; Barrett, Brian; Barrett, Frank; Redmond, John; O`Halloran, John

2015-01-01

Quantification of spatial and temporal changes in forest cover is an essential component of forest monitoring programs. Due to its cloud free capability, Synthetic Aperture Radar (SAR) is an ideal source of information on forest dynamics in countries with near-constant cloud-cover. However, few studies have investigated the use of SAR for forest cover estimation in landscapes with highly sparse and fragmented forest cover. In this study, the potential use of L-band SAR for forest cover estimation in two regions (Longford and Sligo) in Ireland is investigated and compared to forest cover estimates derived from three national (Forestry2010, Prime2, National Forest Inventory), one pan-European (Forest Map 2006) and one global forest cover (Global Forest Change) product. Two machine-learning approaches (Random Forests and Extremely Randomised Trees) are evaluated. Both Random Forests and Extremely Randomised Trees classification accuracies were high (98.1–98.5%), with differences between the two classifiers being minimal (forest area and an increase in overall accuracy of SAR-derived forest cover maps. All forest cover products were evaluated using an independent validation dataset. For the Longford region, the highest overall accuracy was recorded with the Forestry2010 dataset (97.42%) whereas in Sligo, highest overall accuracy was obtained for the Prime2 dataset (97.43%), although accuracies of SAR-derived forest maps were comparable. Our findings indicate that spaceborne radar could aid inventories in regions with low levels of forest cover in fragmented landscapes. The reduced accuracies observed for the global and pan-continental forest cover maps in comparison to national and SAR-derived forest maps indicate that caution should be exercised when applying these datasets for national reporting. PMID:26262681

Analysis of Students’ Incorrect Answers on the Topic of Roman Numerals in The Fourth-Grade of Primary School

Science.gov (United States)

Selvianiresa, D.; Jupri, Al

2017-02-01

Mathematics has an important role in solving problems related to mathematical symbols. Mathematics topics are related to the daily life of students, as well as mathematics in the primary school level. In this paper, we report the results of research that aims to understand the difficulties of primary school students towards mathematics, especially on the topic of Roman numerals. The subject of this research included 38 students of fourth grade students from a primary school in the city of Bandung. The results showed that the teacher is more likely do the learning to deliver topic directly to students, rather than having to relatethe learning with a real context. In addition, after the teacher gave some exercises to students, we observed that there are some students’ answers that are unpredictable and made errors. Unexpected answers are caused by student’s unconscientious, misunderstanding, or inability to memorize in seven Roman numeral in general. The results of this analysis can be used to develop teacher competence in the teaching and learning process in the future. In this way, we expect the teacher can prepare various student responses to the given problems in the learning process.

THREE-DIMENSIONAL WEB-BASED PHYSICS SIMULATION APPLICATION FOR PHYSICS LEARNING TOOL

Directory of Open Access Journals (Sweden)

William Salim

2012-10-01

Full Text Available The purpose of this research is to present a multimedia application for doing simulation in Physics. The application is a web based simulator that implementing HTML5, WebGL, and JavaScript. The objects and the environment will be in three dimensional views. This application is hoped will become the substitute for practicum activity. The current development is the application only covers Newtonian mechanics. Questionnaire and literature study is used as the data collecting method. While Waterfall Method used as the design method. The result is Three-DimensionalPhysics Simulator as online web application. Three-Dimensionaldesign and mentor-mentee relationship is the key features of this application. The conclusion made is Three-DimensionalPhysics Simulator already fulfilled in both design and functionality according to user. This application also helps them to understand Newtonian mechanics by simulation. Improvements are needed, because this application only covers Newtonian Mechanics. There is a lot possibility in the future that this simulation can also covers other Physics topic, such as optic, energy, or electricity.Keywords: Simulation, Physic, Learning Tool, HTML5, WebGL

Learning environment, learning styles and conceptual understanding

Science.gov (United States)

Ferrer, Lourdes M.

1990-01-01

In recent years there have been many studies on learners developing conceptions of natural phenomena. However, so far there have been few attempts to investigate how the characteristics of the learners and their environment influence such conceptions. This study began with an attempt to use an instrument developed by McCarthy (1981) to describe learners in Malaysian primary schools. This proved inappropriate as Asian primary classrooms do not provide the same kind of environment as US classrooms. It was decided to develop a learning style checklist to suit the local context and which could be used to describe differences between learners which teachers could appreciate and use. The checklist included four dimensions — perceptual, process, self-confidence and motivation. The validated instrument was used to determine the learning style preferences of primary four pupils in Penang, Malaysia. Later, an analysis was made regarding the influence of learning environment and learning styles on conceptual understanding in the topics of food, respiration and excretion. This study was replicated in the Philippines with the purpose of investigating the relationship between learning styles and achievement in science, where the topics of food, respiration and excretion have been taken up. A number of significant relationships were observed in these two studies.

Using NASA Space Imaging Technology to Teach Earth and Sun Topics

Science.gov (United States)

Verner, E.; Bruhweiler, F. C.; Long, T.

2011-12-01

We teach an experimental college-level course, directed toward elementary education majors, emphasizing "hands-on" activities that can be easily applied to the elementary classroom. This course, Physics 240: "The Sun-Earth Connection" includes various ways to study selected topics in physics, earth science, and basic astronomy. Our lesson plans and EPO materials make extensive use of NASA imagery and cover topics about magnetism, the solar photospheric, chromospheric, coronal spectra, as well as earth science and climate. In addition we are developing and will cover topics on ecosystem structure, biomass and water on Earth. We strive to free the non-science undergraduate from the "fear of science" and replace it with the excitement of science such that these future teachers will carry this excitement to their future students. Hands-on experiments, computer simulations, analysis of real NASA data, and vigorous seminar discussions are blended in an inquiry-driven curriculum to instill confident understanding of basic physical science and modern, effective methods for teaching it. The course also demonstrates ways how scientific thinking and hands-on activities could be implemented in the classroom. We have designed this course to provide the non-science student a confident basic understanding of physical science and modern, effective methods for teaching it. Most of topics were selected using National Science Standards and National Mathematics Standards that are addressed in grades K-8. The course focuses on helping education majors: 1) Build knowledge of scientific concepts and processes; 2) Understand the measurable attributes of objects and the units and methods of measurements; 3) Conduct data analysis (collecting, organizing, presenting scientific data, and to predict the result); 4) Use hands-on approaches to teach science; 5) Be familiar with Internet science teaching resources. Here we share our experiences and challenges we face while teaching this course.

Lifelong Learning Organisers: Requirements for Tools for Supporting Episodic and Semantic Learning

Science.gov (United States)

Vavoula, Giasemi; Sharples, Mike

2009-01-01

We propose Lifelong Learning Organisers (LLOs) as tools to support the capturing, organisation and retrieval of personal learning experiences, resources and notes, over a range of learning topics, at different times and places. The paper discusses general requirements for the design of LLOs based on findings from a diary-based study of everyday…

Topics of internal medicine for undergraduate dental education: a qualitative study.

Science.gov (United States)

Kunde, A; Harendza, S

2015-08-01

Due to the ageing population, internal medicine has become increasingly important for dental education. Although several studies have reported dentists' dissatisfaction with their internal medicine training, no guidelines exist for internal medicine learning objectives in dental education. The aim of this study was to identify topics of internal medicine considered to be relevant for dental education by dentists and internists. Eight dentists from private dental practices in Hamburg and eight experienced internal medicine consultants from Hamburg University Hospital were recruited for semi-structured interviews about internal medicine topics relevant for dentists. Internal diseases were clustered into representative subspecialties. Dentists and internists were also asked to rate medical diseases or emergencies compiled from the literature by their relevance to dental education. Coagulopathy and endocarditis were rated highest by dentists, whilst anaphylaxis was rated highest by internists. Dentists rated hepatitis, HIV, organ transplantation and head/neck neoplasm significantly higher than internists. The largest number of different internal diseases mentioned by dentists or internists could be clustered under cardiovascular diseases. The number of specific diseases dentists considered to be relevant for dental education was higher in the subspecialties cardiovascular diseases, haematology/oncology and infectiology. We identified the internal medicine topics most relevant for dental education by surveying practising dentists and internists. The relevance of these topics should be confirmed by larger quantitative studies to develop guidelines how to design specific learning objectives for internal medicine in the dental curriculum. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Is a Team-based Learning Approach to Anatomy Teaching Superior to Didactic Lecturing?

Science.gov (United States)

Ghorbani, Naghme; Karbalay-Doust, Saied; Noorafshan, Ali

2014-02-01

Team-based learning (TBL) is used in the medical field to implement interactive learning in small groups. The learning of anatomy and its subsequent application requires the students to recall a great deal of factual content. The aims of this study were to evaluate the students' satisfaction, engagement and knowledge gain in anatomy through the medium of TBL in comparison to the traditional lecture method. This study, carried out from February to June 2012, included 30 physical therapy students of the Shiraz University of Medical Science, School of Rehabilitation Sciences. Classic TBL techniques were modified to cover lower limb anatomy topics in the first year of the physical therapy curriculum. Anatomy lectures were replaced with TBL, which required the preparation of assigned content, specific discussion topics, an individual self-assessment test (IRAT) and the analysis of discussion topics. The teams then subsequently retook the assessment test as a group (GRAT). The first eight weeks of the curriculum were taught using traditional didactic lecturing, while during the second eight weeks the modified TBL method was used. The students evaluated these sessions through a questionnaire. The impact of TBL on student engagement and educational achievement was determined using numerical data, including the IRAT, GRAT and final examination scores. Students had a higher satisfaction rate with the TBL teaching according to the Likert scale. Additionally, higher scores were obtained in the TBL-based final examination in comparison to the lecture-based midterm exam. The students' responses showed that the TBL technique could be used alone or in conjunction with traditional didactic lecturing in order to teach anatomy more effectively.

Children's learning of science through literature

Science.gov (United States)

O'Kelly, James B.

This study examined the effects of picture books belonging to different literary genres on the learning of science by primary grade students. These genres included modern fantasy, fiction, and nonfiction. The students were exposed to two topics through books, butterflies and snails. The study focused on the effects of those books on children's expressions of (a) knowledge, (b) erroneous information, (c) creative ideas, and (d) the support required to elicit information and ideas from the children. Sixty-one children from three kindergarten and three second grade participated. Children were designated by their teachers as being high or low with respect to academic achievement. These categories allowed measurement of interactions between literary genres, grade levels, and academic achievement levels. Children first learned about butterflies, and then about snails. For each topic, children were interviewed about their knowledge and questions of the topic. Teachers engaged their classes with a book about the topic. The children were re-interviewed about their knowledge and questions about the topic. No class encountered the same genre of book twice. Comparisons of the children's prior knowledge of butterflies and snails indicated that the children possessed significantly more knowledge about butterflies than about snails. Literary genre had one significant effect on children's learning about snails. Contrary to expectations, children who encountered nonfiction produced significantly more creative expressions about snails than children who encountered faction or modern fantasy. No significant effects for literary genre were demonstrated with respect to children's learning about butterflies. The outcomes of the study indicated that nonfiction had its strongest impact on the learning of science when children have a relatively small fund of knowledge about a topic. This study has implications for future research. The inclusion of a larger number of students, classes, and

Topical tags vs non-topical tags : Towards a bipartite classification?

NARCIS (Netherlands)

Basile, Valerio; Peroni, Silvio; Tamburini, Fabio; Vitali, Fabio

2015-01-01

In this paper we investigate whether it is possible to create a computational approach that allows us to distinguish topical tags (i.e. talking about the topic of a resource) and non-topical tags (i.e. describing aspects of a resource that are not related to its topic) in folksonomies, in a way that

An assessment of student experiences and learning based on a novel undergraduate e-learning resource.

Science.gov (United States)

Mehta, S; Clarke, F; Fleming, P S

2016-08-12

Purpose/objectives The aims of this study were to describe the development of a novel e-learning resource and to assess its impact on student learning experiences and orthodontic knowledge.Methods Thirty-two 4th year dental undergraduate students at Queen Mary University of London were randomly allocated to receive electronic access to e-learning material covering various undergraduate orthodontic topics over a 6-week period. Thirty-one control students were not given access during the study period. All students were asked to complete electronic quizzes both before (T0) and after (T1) the study period and a general questionnaire concerning familiarity with e-learning. The test group also completed a user satisfaction questionnaire at T1. Two focus groups were also undertaken to explore learners' experiences and suggestions in relation to the resource.Results The mean quiz result improved by 3.9% and 4.5% in the control and test groups, respectively. An independent t-test, however, demonstrated a lack of statistical significance in knowledge gain between control and test groups (P = 0.941). The qualitative feedback indicated that students believed that use of the resource enhanced knowledge and basic understanding with students expressing a wish to ingrain similar resources in other areas of undergraduate teaching.Conclusions Use of the novel orthodontic e-resource by 4th year undergraduate students over a 6-week period did not result in a significant improvement in subject knowledge. However, the e-learning has proven popular among undergraduates and the resources will continue to be refined.

Effects of Epistemological Beliefs and Topic-Specific Beliefs on Undergraduates' Cognitive and Strategic Processing of Dual-Positional Text.

Science.gov (United States)

Kardash, CarolAnne M.; Howell, Karen L.

2000-01-01

Investigates effects of epistemological beliefs and topic-specific beliefs on undergraduates' (N=40) cognitive and strategic processing of a dual-positional text. Findings reveal that epistemological beliefs about the speed of learning affected the overall number of cognitive processes exhibited, whereas topic-specific beliefs interacted with the…

Junior High School Students’ Understanding and Problem Solving Skills on the Topics of Line and Angles

Science.gov (United States)

Irsal, I. L.; Jupri, A.; Prabawanto, S.

2017-09-01

Line and angles is important topics to learn to develop the geometry skills and also mathematics skills such as understanding and problem solving skills. But, the fact was given by Indonesian researcher show that Indonesian students’ understanding and problem solving skills still low in this topics. This fact be a background to investigate students’ understanding and problem solving skills in line and angles topics. To investigate these skills, this study used descriptive-qualitative approach. Individual written test (essay) and interview was used in this study. 72 students grade 8th from one of Junior High School in Lembang, worked the written test and 18 of them were interviewed. Based on result, almost of student were have a good instrumental understanding in line and angles topic in same area, but almost all student have a low instrumental understanding in line and angles topic in different area. Almost all student have a low relational understanding. Also, almost all student have a low problem solving skills especially in make and use strategy to solve the problem and looking back their answer. Based on result there is need a meaningfulness learning strategy, which can make students build their understanding and develop their problem solving skill independently.

Meeting of the ITPA Topical Group on Diagnostics

International Nuclear Information System (INIS)

Costley, A.E.; Donne, A.J.H.

2002-01-01

The first meeting of the International Tokamak Physics Activities (ITPA) Topical Group (TG) on diagnostics was held at the Ioffe Physical-Technical institute, St. Petersburg, Russian Federation, on 14-16 November 2001. In total 38 participants attended the meeting and all four ITPA partners (EU, JA, RF and US) were represented. This summary covers mainly the discussions at the TG meeting. The meeting immediately followed a progress meeting, held in the same location on 12-13 November 2001, on the efforts carried out in the Russian Federation on diagnostics for ITER and burning plasma experiments

Topical Ranibizumab as a Treatment of Corneal Neovascularization

Science.gov (United States)

Ferrari, Giulio; Dastjerdi, Mohammad H.; Okanobo, Andre; Cheng, Sheng-Fu; Amparo, Francisco; Nallasamy, Nambi; Dana, Reza

2014-01-01

Purpose To examine the effect of topical ranibizumab on clinically stable corneal neovascularization (NV). Methods This was a prospective, open-label, monocentric, uncontrolled, non-comparative study. Ten eyes of 9 patients with corneal NV received topical ranibizumab (1%) 4 times a day for 3 weeks with a follow-up of 16 weeks. The main corneal neovascularization outcome measures were: neovascular area (NA), the area occupied by the corneal neovessels; vessel caliber (VC), the mean diameter of the corneal neovessels; and invasion area (IA), the fraction of the total cornea area covered by the vessels. This study was conducted at the Massachusetts Eye and Ear Infirmary, Boston, MA, USA. Results Statistically significant decreases in NA (55.3%, P<0.001), which lasted through 16 weeks, and VC (59%, P<0.001), which continued to improve up to week 16, were observed after treatment. No significant decrease was observed in IA (12.3%, P=0.49). There was no statistically significant change in visual acuity or intraocular pressure. No adverse events ascribed to the treatment were noted. Conclusions Topical application of ranibizumab is effective in reducing the severity of corneal NV in the context of established corneal NV, mostly through decrease in VC rather than IA. PMID:23407316

OpenMPI and ExxonMobil Topics

Energy Technology Data Exchange (ETDEWEB)

Hjelm, Nathan Thomas [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Pritchard, Howard Porter [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

2016-09-09

These are a series of slides for a presentation for ExxonMobil's visit to Los Alamos National Laboratory. Topics covered are: Open MPI - The Release Story, MPI-3 RMA in Open MPI, MPI dynamic process management and Open MPI, and new options with CLE 6. Open MPI RMA features are: since v2.0.0 full support for the MPI-3.1 specification, support for non-contiguous datatypes, support for direct use of the RDMA capabilities of high performance networks (Cray Gemini/Aries, Infiniband), starting in v2.1.0 will have support for using network atomic operations for MPI_Fetch_and_op and MPI_Compare_and_swap, tested with MPI_THREAD_MULTIPLE.

Does prior domain-specific content knowledge influence students' recall of arguments surrounding interdisciplinary topics?

Science.gov (United States)

Schmidt, Hiemke K; Rothgangel, Martin; Grube, Dietmar

2017-12-01

Awareness of various arguments can help interactants present opinions, stress points, and build counterarguments during discussions. At school, some topics are taught in a way that students learn to accumulate knowledge and gather arguments, and later employ them during debates. Prior knowledge may facilitate recalling information on well structured, fact-based topics, but does it facilitate recalling arguments during discussions on complex, interdisciplinary topics? We assessed the prior knowledge in domains related to a bioethical topic of 277 students from Germany (approximately 15 years old), their interest in the topic, and their general knowledge. The students read a text with arguments for and against prenatal diagnostics and tried to recall the arguments one week later and again six weeks later. Prior knowledge in various domains related to the topic individually and separately helped students recall the arguments. These relationships were independent of students' interest in the topic and their general knowledge. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Development, Validation and Summative Evaluation of Card Pairing Games for Selected Math 8 Topics

Directory of Open Access Journals (Sweden)

Ronald O. Ocampo

2015-12-01

Full Text Available Traditional classroom situation where students are taught predominantly of lecture-discussion method put the classroom in a mathophobic atmosphere. Oftentimes, students exposed to this classroom atmosphere lead to math anxiety and eventually hate the subject and the teacher. Addressing this, varied interactive strategies to create an atmosphere of discourse has been developed and promoted. The use of instructional games has been viewed as one strategy that promotes active learning inside the classroom. Instructional games support constructivist learning and social learning. This study is aimed at developing, validating and evaluating card pairing games for specific topics in Math 8. The Research and Development model ( R& D was used. The card pairing games was validated by subject experts and experts in developing games. In evaluating the card pairing games, the Quasi-Experimental Pretest-Posttest design was used. There are six card pairing games developed for specific topics in Math 8; the card pairing game is highly valid based on the result of the validation; Students exposed to card pairing game become more intact (homogeneous; Students exposed to card games enhance academic performance. It is recommended to test the effectiveness of card pairing games to other group of students; Encourage math teachers to use the developed math card pairing games for classroom instruction; Develop other card pairing game for specific topics in math.

Learning and Cognition

Science.gov (United States)

Gr ver Aukrust, Vibeke, Ed.

2011-01-01

This collection of 58 articles from the recently-published third edition of the International Encyclopedia of Education focuses on learning, memory, attention, problem solving, concept formation, and language. Learning and cognition is the foundation of cognitive psychology and encompasses many topics including attention, memory, categorization,…

Drugs + HIV, Learn the Link

Medline Plus

Full Text Available ... Tobacco/Nicotine and E-Cigs Other Drugs Related Topics Addiction Science Adolescent Brain Comorbidity College-Age & Young ... parties or hanging out with friends? It’s a topic you can’t ignore. Learn the Link: http:// ...

Development of a 30 m Spatial Resolution Land Cover of Canada: Contribution to the Harmonized North America Land Cover Dataset

Science.gov (United States)

Pouliot, D.; Latifovic, R.; Olthof, I.

2017-12-01

Land cover is needed for a large range of environmental applications regarding climate impacts and adaption, emergency response, wildlife habitat, air quality, water yield, etc. In Canada a 2008 user survey revealed that the most practical scale for provision of land cover data is 30 m, nationwide, with an update frequency of five years (Ball, 2008). In response to this need the Canada Centre for Remote Sensing has generated a 30 m land cover of Canada for the base year 2010 as part of a planned series of maps at the recommended five year update frequency. This land cover is the Canadian contribution to the North American Land Change Monitoring System initiative, which seeks to provide harmonized land cover across Canada, the United States, and Mexico. The methodology developed in this research utilized a combination of unsupervised and machine learning techniques to map land cover, blend results between mapping units, locally optimize results, and process some thematic attributes with specific features sets. Accuracy assessment with available field data shows it was on average 75% for the five study areas assessed. In this presentation an overview of the unique processing aspects, example results, and initial accuracy assessment will be discussed.

Regularization theory for ill-posed problems selected topics

CERN Document Server

Lu, Shuai

2013-01-01

Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The bookdemontrates thecurrent developments inthe field of regularization theory,such as multiparameter regularization and regularization in learning theory. The book is written for graduate and PhDs

Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software

NARCIS (Netherlands)

C-L. Chang (Chia-Lin); M.J. McAleer (Michael)

2017-01-01

textabstractThe paper presents an overview of recent topical research on global, energy, health & medical, and tourism economics, and global software. We have interpreted “global” in the title of the Journal of Reviews on Global Economics to cover contributions that have a global impact on

Implementation of problem-based learning (PBL) approach to improve student’s academic achievement and creativity on the topic of electrolyte and non-electrolyte solutions at vocational school

Science.gov (United States)

Wahyu, W.; Kurnia; Syaadah, R. S.

2018-05-01

The purpose of study was to investigate the implementation of PBL to improve student’s academic achievement and creativity on the topic of electrolyte and non-electrolye solutions. This study was conducted as a descriptive method with case study design. Subject of this study consisted of 30 students in the class X. Instruments used in the study included tests and observation sheets. Student’s achievement changes is calculated using N-gain formula, hereafter, the data that have been processed then was analyzed descriptively. The results showed that generally academic achievement and creativity of students has increased as indicated by the value of N-gain (0.667; 0.656). The results of the study also showed that there was a correlation with the moderate category between the academic achievement and the student’s creative thinking as indicated by (r = 0.413), meanwhile, the relationship between academic achievement and creativity(r = 0.340) that belongs to the weak category. Implementation of PBL had a good response from students with percentage 80.3%. Based on these findings, PBL is recommended to be applied on the learning process for other chemistry topics that suitable in term of characteristics between learning materials and PBL stages in order to develop academic achievement and creativity of students.

Infection control as a topic for ward-based nursing education.

Science.gov (United States)

Gould, D; Chamberlain, A

1994-08-01

The link between nursing theory and practice remains a topic of ongoing debate. Related to this issue is the best place to effectively combine the two. The solution may be ward-based teaching programmes as part of formal continuing staff development, involving collaboration between college-based lecturers and acknowledged clinical experts. Using infection control as an example of a topic in need of regular and continual updating for qualified practitioners, it is argued that such programmes would be desirable because they would afford sufficient flexibility to fulfil individual learning needs and could be assessed to indicate whether nursing practice had been enhanced. Participants could be accredited for successful completion of ward-based programmes.

Machine Learning and Applied Linguistics

OpenAIRE

Vajjala, Sowmya

2018-01-01

This entry introduces the topic of machine learning and provides an overview of its relevance for applied linguistics and language learning. The discussion will focus on giving an introduction to the methods and applications of machine learning in applied linguistics, and will provide references for further study.

Topical diclofenac therapy for osteoarthritis: a meta-analysis of randomized controlled trials.

Science.gov (United States)

Deng, Zhen-Han; Zeng, Chao; Yang, Ye; Li, Yu-Sheng; Wei, Jie; Yang, Tuo; Li, Hui; Lei, Guang-Hua

2016-05-01

The objective of this study was to evaluate the efficacy and safety of topical diclofenac therapy for osteoarthritis (OA). A meta-analysis of randomized controlled trials was conducted. A comprehensive literature search, covering the databases of Medline, the Cochrane Central Register of Controlled Trials, and EMBASE, was conducted in September 2014 to identify the randomized controlled trials which adopted the topical diclofenac therapy for OA. A total of nine papers were included in this meta-analysis. Topical diclofenac appears to be effective in both pain relief (standard mean differences (SMD) = 0.40; 95 % confidence interval (CI) 0.19 to 0.62; P = 0.0003) and function improvement (SMD = 0.23; 95 % CI 0.03 to 0.43; P = 0.03) when compared with the control group. The sensitivity analysis and subgroup analysis showed that the result of pain intensity was stable and reliable, while the result of physical function improvement was vague. With respect to safety, topical diclofenac demonstrated a higher incidence of adverse events such as dry skin, rash, dermatitis, neck pain, and withdrawal. Topical diclofenac is effective in pain relief as a treatment of OA. It may also have a potential effect in function improvement, which needs further studies to be explored. Although, some adverse effects were observed in the application of topical diclofenac, none of them was serious.

Enhancing active learning in microbiology through case based learning: experiences from an Indian medical school.

Science.gov (United States)

Ciraj, A M; Vinod, P; Ramnarayan, K

2010-01-01

Case-based learning (CBL) is an interactive student-centered exploration of real life situations. This paper describes the use of CBL as an educational strategy for promoting active learning in microbiology. CBL was introduced in the microbiology curriculum for the second year medical students after an orientation program for faculty and students. After intervention, the average student scores in CBL topics were compared with scores obtained in lecture topics. An attempt was also made to find the effect of CBL on the academic performance. Student and faculty perception on CBL were also recorded. In a cross sectional survey conducted to assess the effectiveness of CBL, students responded that, apart from helping them acquire substantive knowledge in microbiology, CBL sessions enhanced their analytic, collaborative, and communication skills. The block examination scores in CBL topics were significantly higher than those obtained for lecture topics. Faculty rated the process to be highly effective in stimulating student interest and long term retention of microbiology knowledge. The student scores were significantly higher in the group that used CBL, compared to the group that had not used CBL as a learning strategy. Our experience indicated that CBL sessions enhanced active learning in microbiology. More frequent use of CBL sessions would not only help the student gain requisite knowledge in microbiology but also enhance their analytic and communication skills.

Mapping Woodland Cover in the Miombo Ecosystem: A Comparison of Machine Learning Classifiers

Directory of Open Access Journals (Sweden)

Courage Kamusoko

2014-06-01

Full Text Available Miombo woodlands in Southern Africa are experiencing accelerated changes due to natural and anthropogenic disturbances. In order to formulate sustainable woodland management strategies in the Miombo ecosystem, timely and up-to-date land cover information is required. Recent advances in remote sensing technology have improved land cover mapping in tropical evergreen ecosystems. However, woodland cover mapping remains a challenge in the Miombo ecosystem. The objective of the study was to evaluate the performance of decision trees (DT, random forests (RF, and support vector machines (SVM in the context of improving woodland and non-woodland cover mapping in the Miombo ecosystem in Zimbabwe. We used Multidate Landsat 8 spectral and spatial dependence (Moran’s I variables to map woodland and non-woodland cover. Results show that RF classifier outperformed the SVM and DT classifiers by 4% and 15%, respectively. The RF importance measures show that multidate Landsat 8 spectral and spatial variables had the greatest influence on class-separability in the study area. Therefore, the RF classifier has potential to improve woodland cover mapping in the Miombo ecosystem.

Introduction of Team Self-Regulation for Teamwork Promotion. A Case Study in Energy Engineering Topics

Science.gov (United States)

González-Fernández, María Jesús; Sáiz-Manzanares, María Consuelo; Alaoui, Fatima E. M.; Aguilar, Fernando; Meneses, Jesús; Montero, Eduardo

2013-01-01

The learning and development of teamwork skill is only possible if its achievement is a self-building process of the student. In turn, the teachers must become guides in the process of a learning which is not limited only to the topic of their own course, but which must be imbedded with a good dose of this skill. Promotion of teamwork is not…

The better you feel the better you learn: do warm colours and rounded shapes enhance learning outcome in multimedia learning?

OpenAIRE

Münchow, Hannes; Mengelkamp, Christoph; Bannert, Maria

2018-01-01

The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61) or an affectively neutral environment that used achromatic colours and sharp edges (n=50). Participants learned about the topic of functional neuroanatomy for 20...

The Optical Society's 2016 topical meeting on optical interference coatings: introduction.

Science.gov (United States)

Ristau, Detlev; Li, Li; Sargent, Robert; Sytchkova, Anna

2017-02-01

This feature issue of Applied Optics is dedicated to the 13th Topical Meeting on Optical Interference Coatings, which was held June 19-24, 2016, in Tucson, Arizona, USA. The conference, taking place every three years, is a focal point for global technical interchange in the field of optical interference coatings and provides premier opportunities for people working in the field to present their new advances in research and development. Papers presented at the meeting covered a broad range of topics, including fundamental research on coating design theory, new materials, and deposition and characterization technologies, as well as the vast and growing number of applications in electronic displays, communication, optical instruments, high power and ultra-fast lasers, solar cells, space missions, gravitational wave detection, and many others.

Tactile Models and Games as Learning Tools for Topics of Molecular and Cell Biology

OpenAIRE

Nelma Regina Segnini Bossolan

2017-01-01

The cell structure and the dynamics of its functioning are basic topics for the understanding of phenomena on a larger scale in living organisms and for which research in science teaching has suggested several strategies based on the use of images, games, computational simulations and tactile models, among other types of external representations. Our science education research group, over the last 17 years, has developed and evaluated educational materials for teaching these topics, aimed at ...

Changing the Topic. Topic Position in Ancient Greek Word Order

NARCIS (Netherlands)

Allan, R.J.

2014-01-01

Ancient Greek, topics can be expressed as intra-clausal constituents but they can also precede or follow the main clause as extra-clausal constituents. Together, these various topic expressions constitute a coherent system of complementary pragmatic functions. For a comprehensive account of topic

Topical Hazard Evaluation Program of Candidate Insect Repellent AI3- 39053a

Science.gov (United States)

1987-05-01

StudyNo. 75-51-O 71-R7 Mnay 19R71 12 PERSONAL AUTHOR(S) William T. Huebsam, SGT, U.S.A.; Maurice H. Weeks 1I8. TYPE Of REPORT 13b TIME COVERED 114...ARMY u.S. AUT ENVIVIf[NNIAL HYGINE AMIdT ASCROELN PROVING GROUND. MARYLAND M1蚉 HSHB-MO-T TOPICAL HAZARD EVALUATION PROGRAM OF CANDIDATE INSECT

Topic-Specific Pedagogical Content Knowledge (TSPCK) in Redox and Electrochemistry of Experienced Teachers

Science.gov (United States)

O'Brien, Stephanie

Topic specific pedagogical content knowledge (TSPCK) is the basis by which knowledge of subject matter of a particular topic is conveyed to students. This includes students' prior knowledge, curricular saliency, what makes a topic easy or difficult to teach, representations, and teaching strategies. The goal of this study is to assess the pedagogical content knowledge of chemistry teachers in a professional learning community in the areas of redox and electrochemistry, as this has been regarded in previous literature as conceptually challenging for students to learn. By acquiring information regarding the PCK development of experienced chemistry teachers, the education and practice of all science teachers can be advanced. This study builds upon previous research that developed validated instruments to evaluate TSPCK. The research questions sought to determine which components of TSPCK were evidenced by the instructional design decisions teachers made, what shared patterns and trends were evident, and how TSPCK related to student learning outcomes. To answer the research questions subjects completed a background questionnaire, a TSPCK assessment, and interview tasks to elicit information about pedagogical decision making and processes that influenced student learning in their classrooms. The TSPCK exam and interview responses were coded to align with thematic constructs. To determine the effect of TSPCK on student learning gains, pre/post-assessment data on redox and electrochemistry were compared to teachers' TSPCK. The chemistry teachers displayed varying levels of TSPCK in redox and electrochemistry, as evidenced by their knowledge of student learning obstacles, curricular saliency, and teaching methodologies. There was evidence of experienced teachers lacking in certain areas of TSPCK, such as the ability to identify student misconceptions, suggesting the need for programmatic improvements in pre-service and in-service training to address the needs of current

Proceedings of the first topical meeting on Asian network for accelerator-driven systems and nuclear transmutation technology

International Nuclear Information System (INIS)

Sasa, Toshinobu

2016-03-01

The first topical meeting on Asian Network for Accelerator-driven System (ADS) and Nuclear Transmutation Technology (NTT) was held on 26-27 October 2015 at the J-PARC Center, Japan Atomic Energy Agency, Japan. The topical meeting was an optional one in-between the regular meeting, which is held in every two years. Instead of the regular meetings, which cover all research fields for ADS and NTT, such as accelerator, spallation target, subcritical reactor, fuel, and material, the topical meeting is focused on a specific topic to make technical discussions more deeply. In this meeting, the technology for lead-bismuth eutectic alloy was selected, as it was one of the hot issues in the world, and the topic was deeply discussed by specialists in Asian countries. This report summarizes all presentation materials discussed in the meeting. (author)

A Legal Odyssey, 2001. Papers [of the] Education Law Association Conference (47th, Albuquerque, New Mexico, November 15-17, 2001). Topic Outlines.

Science.gov (United States)

Education Law Association, Dayton, OH.

This document is a collection of 53 topic outlines and conference papers whose topics cover a multitude of aspects of educational law. Subjects include the impacts of the Individuals with Disabilities Education Act (IDEA) on "normal" students, rights of nontenured teachers, sexual discrimination and harassment, school disciplinary issues,…

46th Annual meeting on nuclear technology (AMNT 2015). Key topic / Enhanced safety and operation excellence / Sustainable reactor operation management - safe, efficient, valuable

International Nuclear Information System (INIS)

Fischer, Erwin

2015-01-01

Summary report on the following Topical Session of the 46 th Annual Conference on Nuclear Technology (AMNT 2015) held in Berlin, 5 to 7 May 2015: - Sustainable Reactor Operation Management - Safe, Efficient, Valuable (Erwin Fischer) The other Sessions of the Key Topics - ''Outstanding Know-How and Sustainable Innovations'', - ''Enhanced Safety and Operation Excellence'' and - ''Decommissioning Experience and Waste Management Solutions'' have been covered in atw 7 (2015) and will be covered in further issues of atw.

Topic Order in Introductory Physics and its Impact on the STEM Curricular Ladder

Directory of Open Access Journals (Sweden)

Teresa L Larkin

2017-02-01

Full Text Available Introductory physics courses are an important rung on the curricular ladder in STEM. These courses help to strengthen students critical thinking and problem solving skills while simultaneously introducing them to many topics they will explore in more detail in later courses in physics and engineering. For these reasons, introductory physics is a required element on the curricular ladder. Most often, introductory physics is offered as a two-semester sequence with basic mechanics being taught in the first semester and electricity and magnetism in the second. In fact, this curricular sequence has not been altered in decades. Is there a reason for this? There are many other enduring questions that arise pertaining to these foundation courses in physics. These questions include: Does taking the introductory course sequence “out of order” have an impact on student learning in physics? What topics should be taught? When should these topics be taught? What topics could be left out? The list of questions is essentially endless. This paper will address some of these questions in part, through a brief discussion on student learning in a second-semester algebra-based physics course. Connections will also be made to the broader curricular ladder in STEM. To this end, an illustration that makes connections to an engineering statics course will be presented. This discussion will conclude by presenting some broader implications for the larger STEM communities.

Learning in Mental Retardation: A Comprehensive Bibliography.

Science.gov (United States)

Gardner, James M.; And Others

The bibliography on learning in mentally handicapped persons is divided into the following topic categories: applied behavior change, classical conditioning, discrimination, generalization, motor learning, reinforcement, verbal learning, and miscellaneous. An author index is included. (KW)

Atom probe field ion microscopy and related topics: A bibliography 1989

International Nuclear Information System (INIS)

Miller, M.K.; Hawkins, A.R.; Russell, K.F.

1990-12-01

This bibliography includes references related to the following topics: atom probe field ion microscopy (APFIM), field ion spectroscopy (FIM), field emission microscopy (FEM), liquid metal ion sources (LMIS), scanning tunneling microscopy (STM), and theory. Technique-orientated studies and applications are included. This bibliography covers the period 1989. The references contained in this document were compiled from a variety of sources including computer searches and personal lists of publications

SASP. Contributions to the 13. Symposium on atomic and surface physics and related topics

Energy Technology Data Exchange (ETDEWEB)

Scheier, P; Maerk, T [eds.

2002-07-01

The XIII symposium on Atomic and Surface Physics and related Topics (SASP) is devoted to cover the research of interactions between ions, electrons, photons, atoms, molecules and clusters and their interaction with surfaces. This year there was a special session dedicated to proton transfer reaction mass spectrometry covering its applications in different fields and a mini symposium on the radiation action on bio-molecules such as uracil. The contributions included in the proceeding correspond to invited lectures and poster sessions, consisting of short and extended abstracts as well as short articles. (nevyjel)

SASP. Contributions to the 13. Symposium on atomic and surface physics and related topics

International Nuclear Information System (INIS)

Scheier, P.; Maerk, T.

2002-01-01

The XIII symposium on Atomic and Surface Physics and related Topics (SASP) is devoted to cover the research of interactions between ions, electrons, photons, atoms, molecules and clusters and their interaction with surfaces. This year there was a special session dedicated to proton transfer reaction mass spectrometry covering its applications in different fields and a mini symposium on the radiation action on bio-molecules such as uracil. The contributions included in the proceeding correspond to invited lectures and poster sessions, consisting of short and extended abstracts as well as short articles. (nevyjel)

Implications of Multimodal Learning Models for foreign language teaching and learning

Directory of Open Access Journals (Sweden)

Miguel Farías

2011-04-01

Full Text Available This literature review article approaches the topic of information and communications technologies from the perspective of their impact on the language learning process, with particular emphasis on the most appropriate designs of multimodal texts as informed by models of multimodal learning. The first part contextualizes multimodality within the fields of discourse studies, the psychology of learning and CALL; the second, deals with multimodal conceptions of reading and writing by discussing hypertextuality and literacy. A final section outlines the possible implications of multimodal learning models for foreign language teaching and learning.

Immunomodulation and safety of topical calcineurin inhibitors for the treatment of atopic dermatitis.

Science.gov (United States)

Hultsch, Thomas; Kapp, Alexander; Spergel, Jonathan

2005-01-01

Atopic dermatitis (AD) is a chronic or chronically relapsing inflammatory skin condition that primarily affects children. Topical corticosteroids have been the mainstay of treatment since the late 1950s. While providing excellent short-term efficacy, topical corticosteroid usage is limited by potential adverse effects, including impairment of the function and viability of Langerhans cells/dendritic cells. The recently introduced topical calcineurin inhibitors pimecrolimus cream 1% (Elidel) and tacrolimus ointment 0.03 and 0.1% (Protopic) exhibit a more selective mechanism of action and do not affect Langerhans cells/dendritic cells. For the immune system of young children 'learning' to mount a balanced Th1/Th2 response, this selective effect has particular benefits. In clinical experience, topical calcineurin inhibitors have been shown to be a safe and effective alternative to topical corticosteroids in almost 7 million patients (>5 million on pimecrolimus; >1.7 million on tacrolimus). Topical pimecrolimus is primarily used in children with mild and moderate AD, whereas tacrolimus is used preferentially in more severe cases. None of the topical calcineurin inhibitors have been associated with systemic immunosuppression-related malignancies known to occur following long-term sustained systemic immunosuppression with oral immunosuppressants (e.g., tacrolimus, cyclosporine A, and corticosteroids) in transplant patients. Preclinical and clinical data suggest a greater skin selectivity and larger safety margin for topical pimecrolimus. (c) 2005 S. Karger AG, Basel

Australasian emergency physicians: a learning and educational needs analysis. Part Four: CPD topics desired by emergency physicians.

Science.gov (United States)

Dent, Andrew W; Weiland, Tracey J; Paltridge, Debbie

2008-06-01

To report the preferences of Fellows of the Australasian College for Emergency Medicine for topics they would desire for their continuing professional development (CPD). A mailed survey of Fellows of the Australasian College for Emergency Medicine asked for Likert type responses on the desirability of CPD on 15 procedural skills, 13 management skills, 11 clinical emergency topics, 9 topics related to teaching, 7 related to diagnostics and 5 evidence based practice topics. CPD in procedural skills of advanced and surgical airways, ED ultrasound, ventilation, skills, plastic procedures and regional anaesthesia were nominated as desirable by 85% of emergency physicians (EP). More than 90% desired CPD in ophthalmological, otorhinolaryngeal, neonatal and paediatric emergencies. Of diagnostic skills, more than 80% considered CPD on computerized tomography, electrocardiography and plain X-ray interpretation as desirable, well as CPD about teaching in general, simulation and preparing candidates for fellowship exams. Of the 12 management skills, 11 were seen as desirable topics by more than 70%, with counter disaster planning, giving feedback and dealing with complaints the most popular. All evidence based practice related skills, including interpreting statistics and undertaking literature searches were seen as desirable topics by more than 80% of EP. This information may assist in the planning of future educational interventions for emergency physicians. EP seek CPD on management, educational and other non clinical skills, as well as topics relating directly to patient care.

Development of active learning modules in pharmacology for small group teaching.

Science.gov (United States)

Tripathi, Raakhi K; Sarkate, Pankaj V; Jalgaonkar, Sharmila V; Rege, Nirmala N

2015-01-01

Current teaching in pharmacology in undergraduate medical curriculum in India is primarily drug centered and stresses imparting factual knowledge rather than on pharmacotherapeutic skills. These skills would be better developed through active learning by the students. Hence modules that will encourage active learning were developed and compared with traditional methods within the Seth GS Medical College, Mumbai. After Institutional Review Board approval, 90 second year undergraduate medical students who consented were randomized into six sub-groups, each with 15 students. Pre-test was administered. The three sub-groups were taught a topic using active learning modules (active learning groups), which included problems on case scenarios, critical appraisal of prescriptions and drug identification. The remaining three sub-groups were taught the same topic in a conventional tutorial mode (tutorial learning groups). There was crossover for the second topic. Performance was assessed using post-test. Questionnaires with Likert-scaled items were used to assess feedback on teaching technique, student interaction and group dynamics. The active and tutorial learning groups differed significantly in their post-test scores (11.3 ± 1.9 and 15.9 ± 2.7, respectively, P active learning session as interactive (vs. 37/90 students in tutorial group) and enhanced their understanding vs. 56/90 in tutorial group), aroused intellectual curiosity (47/90 students of active learning group vs. 30/90 in tutorial group) and provoked self-learning (41/90 active learning group vs. 14/90 in tutorial group). Sixty-four students in the active learning group felt that questioning each other helped in understanding the topic, which was the experience of 25/90 students in tutorial group. Nevertheless, students (55/90) preferred tutorial mode of learning to help them score better in their examinations. In this study, students preferred an active learning environment, though to pass examinations, they

A Framework for Narration and Learning in Educational Multimedia

DEFF Research Database (Denmark)

Mosegaard, Jesper; Bennedsen, Jens

2003-01-01

In this article we describe a multimedia adventure game framework for a learning environment to support the teaching and learning of introductory programming. In the framework we have conceptualized two important aspects of such an environment: narration and learning topics. We describe...... the interplay between these aspects and how the framework utilizes this to adapt the learning process to the individual student. The motivation for the separation is to help the teacher balance the two main driving forces of an edutainment product: entertainment and learning. It is the responsibility...... of the teacher to define the range of stories and topics using the framework. The framework provides a complete learning environment where the teacher merely needs to define the content....

Optics learning by computing, with examples using Maple, MathCad, Mathematica, and MATLAB

CERN Document Server

Moeller, Karl Dieter

2007-01-01

This new edition is intended for a one semester course in optics for juniors and seniors in science and engineering; it uses scripts from Maple, MathCad, Mathematica, and MATLAB provide a simulated laboratory where students can learn by exploration and discovery instead of passive absorption. The text covers all the standard topics of a traditional optics course, including: geometrical optics and aberration, interference and diffraction, coherence, Maxwell's equations, wave guides and propagating modes, blackbody radiation, atomic emission and lasers, optical properties of materials, Fourier transforms and FT spectroscopy, image formation, and holography. It contains step by step derivations of all basic formulas in geometrical, wave and Fourier optics. The basic text is supplemented by over 170 files in Maple, MathCad, Mathematica, and MATLAB (many of which are in the text, each suggesting programs to solve a particular problem, and each linked to a topic in or application of optics. The computer files are d...

Linear algebra and matrices topics for a second course

CERN Document Server

Shapiro, Helene

2015-01-01

Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pure and applied. This book combines coverage of core topics with an introduction to some areas in which linear algebra plays a key role, for example, block designs, directed graphs, error correcting codes, and linear dynamical systems. Notable features include a discussion of the Weyr characteristic and Weyr canonical forms, and their relationship to the better-known Jordan canonical form; the use of block cyclic matrices and directed graphs to prove Frobenius's theorem on the structure of the eigenvalues of a nonnegative, irreducible matrix; and the inclusion of such combinatorial topics as BIBDs, Hadamard matrices, and strongly regular graphs. Also included are McCoy's theorem about matrices with property P, the Bruck-Ryser-Chowla theorem on the existence of block designs, and an introduction to Markov chains. This book is intended for those who are familiar with the linear algebra covered in a typical first c...

46{sup th} Annual meeting on nuclear technology (AMNT 2015). Key topic / Enhanced safety and operation excellence / Sustainable reactor operation management - safe, efficient, valuable

Energy Technology Data Exchange (ETDEWEB)

Fischer, Erwin [E.ON Kernkraft GmbH, Global Unit Next Generation, Hannover (Germany)

2015-08-15

Summary report on the following Topical Session of the 46{sup th} Annual Conference on Nuclear Technology (AMNT 2015) held in Berlin, 5 to 7 May 2015: - Sustainable Reactor Operation Management - Safe, Efficient, Valuable (Erwin Fischer) The other Sessions of the Key Topics - ''Outstanding Know-How and Sustainable Innovations'', - ''Enhanced Safety and Operation Excellence'' and - ''Decommissioning Experience and Waste Management Solutions'' have been covered in atw 7 (2015) and will be covered in further issues of atw.

Learning Spaces

CERN Document Server

Falmagne, Jean-Claude

2011-01-01

Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A

Knowledge Visualization for Self-Regulated Learning

Science.gov (United States)

Wang, Minhong; Peng, Jun; Cheng, Bo; Zhou, Hance; Liu, Jie

2011-01-01

The Web allows self-regulated learning through interaction with large amounts of learning resources. While enjoying the flexibility of learning, learners may suffer from cognitive overload and conceptual and navigational disorientation when faced with various information resources under disparate topics and complex knowledge structures. This study…

How do Artists Learn and What Can Educators Learn from Them?

DEFF Research Database (Denmark)

Chemi, Tatiana; Jensen, Julie Borup

2014-01-01

Among scholars and practitioners interested in creative learning, many assumptions and even stereotypes are nurtured about artists’ creativity. The myth of the lone genius, for example, is neither close to artistic practices nor beneficial to education. We address the topic of artistic creativity......, looking at its relevance to educational settings. Through asking the question: how do artists create, learn and how can education learn from them, we have investigated and described professional artists’ creative and learning processes. In this article, we present findings from a qualitative research...

Topics raised by the summary report of the first review meeting

International Nuclear Information System (INIS)

2001-01-01

This document presents the fulfilling of the Brazilian obligations under the Convention on Nuclear Safety. The Chapter 7 of the document contains topics raised by the summary report of the first review meeting. The chapter covers status and position of the regulatory body, collective doses, effluents release trends, adoption of the ICRP 60 and basic safety standards, regulatory strategy, quality assurance, monitoring safety management, international cooperation, probabilistic safety assessment and safety improvement programmes

Topics in extragalactic astronomy with special reference to the southern hemisphere

International Nuclear Information System (INIS)

Vaucouleurs, G. De

1977-01-01

The following topics are covered: classification of galaxies; photometry, colorimetry, spectrophotometry of galaxies; type I supernovae as checks of cosmological models; diameters of galaxies; extragalactic distance indicators; Local Group and nearby group of galaxies; structure of the Local Supercluster of galaxies; anisotropy of the redshifts and kinematics of the Local Supercluster; large scale distribution of galaxies and clusters of galaxies; galaxy counts and probes in depth; problems in the southern hemisphere. (U.K.)

Comparing problem-based learning students to students in a lecture-based curriculum: learning strategies and the relation with self-study time

NARCIS (Netherlands)

M. Wijnen (Marit); S.M.M. Loyens (Sofie); G. Smeets (Guus); M.J. Kroeze (Maarten); H.T. van der Molen (Henk)

2017-01-01

textabstractIn educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one’s own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment.

Machine Learning: developing an image recognition program : with Python, Scikit Learn and OpenCV

OpenAIRE

Nguyen, Minh

2016-01-01

Machine Learning is one of the most debated topic in computer world these days, especially after the first Computer Go program has beaten human Go world champion. Among endless application of Machine Learning, image recognition, which problem is processing enormous amount of data from dynamic input. This thesis will present the basic concept of Machine Learning, Machine Learning algorithms, Python programming language and Scikit Learn – a simple and efficient tool for data analysis in P...

Comparing Problem-Based Learning Students to Students in a Lecture-Based Curriculum: Learning Strategies and the Relation with Self-Study Time

Science.gov (United States)

Wijnen, Marit; Loyens, Sofie M. M.; Smeets, Guus; Kroeze, Maarten; van der Molen, Henk

2017-01-01

In educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one's own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment. Problem-based learning (PBL), a student-centered educational…

Discovery Learning: Zombie, Phoenix, or Elephant?

Science.gov (United States)

Bakker, Arthur

2018-01-01

Discovery learning continues to be a topic of heated debate. It has been called a zombie, and this special issue raises the question whether it may be a phoenix arising from the ashes to which the topic was burnt. However, in this commentary I propose it is more like an elephant--a huge topic approached by many people who address different…

Learning to Play, Playing to Learn: Comparing the Experiences of Adult Foreign Language Learners with Off-the-Shelf and Specialized Games for Learning German

Science.gov (United States)

De Grove, Frederik; Van Looy, Jan; Mechant, Peter

2013-01-01

Learning opportunities offered by digital games have become an important research topic in recent years. Language learning is one of the areas in which games could prosper but the question then is whether these should be specialized language-learning games or commercial off-the-shelf games for entertainment. The goal of this paper is to compare…

Comparison of Clustering Algorithms for the Identification of Topics on Twitter

Directory of Open Access Journals (Sweden)

Marjori N. M. Klinczak

2016-05-01

Full Text Available Topic Identification in Social Networks has become an important task when dealing with event detection, particularly when global communities are affected. In order to attack this problem, text processing techniques and machine learning algorithms have been extensively used. In this paper we compare four clustering algorithms – k-means, k-medoids, DBSCAN and NMF (Non-negative Matrix Factorization – in order to detect topics related to textual messages obtained from Twitter. The algorithms were applied to a database initially composed by tweets having hashtags related to the recent Nepal earthquake as initial context. Obtained results suggest that the NMF clustering algorithm presents superior results, providing simpler clusters that are also easier to interpret.

A Descriptive Study of Television News Coverage of Tobacco in the United States: Frequency of Topics, Frames, Exemplars, and Efficacy

Science.gov (United States)

BLAKE, KELLY D.; KAUFMAN, ANNETTE R.; LORENZO, JOSHUA; AUGUSTSON, ERIK M.

2015-01-01

There is a positive correlation between recall of tobacco-related television news and perceived risks of smoking and thoughts about quitting. The authors used Cision US, Inc., to create a sampling frame (N =61,027) of local and national television news coverage of tobacco from October 1, 2008, to September 30, 2009, and to draw a nationally representative sample (N =730) for content analysis. The authors conducted a descriptive study to determine the frequency and proportion of stories containing specified tobacco topics, frames, sources, and action messages, and the valence of the coverage. Valence was generally neutral; 68% of stories took a balanced stance, with 26% having a tenor supportive of tobacco control and 6% opposing tobacco control. The most frequently covered topics included smoking bans (n =195) and cessation (n =156). The least covered topics included hookah (n =1) and menthol (n =0). The majority of coverage lacked quoting any source (n =345); government officials (n =144) were the most quoted sources. Coverage lacked action messages or resources; 29 stories (Television news can be leveraged by health communication professionals to increase awareness of underrepresented topics in tobacco control. PMID:26176379

Organizational learning viewed from a social learning perspective

DEFF Research Database (Denmark)

Elkjær, Bente; Brandi, Ulrik

2011-01-01

This chapter reviews the literature on organizational learning through the lens of a social learning perspective. We start with an individual learning perspective, before moving on to a social learning perspective with a particular focus upon pragmatism. The literature review covers the following...... four issues: the content of learning, the process of learning, the relation between individual and organization, and the concept of organization. An important separator between individual and social learning perspectives is the different emphasis on learning as acquisition of skills and knowledge......, versus learning as encompassing development of identities and socialization to organizational work and life. A pragmatist social learning perspective emphasizes both learning as acquisition through experience and inquiry, and learning as development of identities and socialization through individuals...

Topics from Australian Conferences on Teaching Statistics

CERN Document Server

Phillips, Brian; Martin, Michael

2014-01-01

The first OZCOTS conference in 1998 was inspired by papers contributed by Australians to the 5th International Conference on Teaching Statistics. In 2008, as part of the program of one of the first National Senior Teaching Fellowships, the 6th OZCOTS was held in conjunction with the Australian Statistical Conference, with Fellowship keynotes and contributed papers, optional refereeing and proceedings. This venture was so successful that the 7th and 8th OZCOTS were similarly run, conjoined with Australian Statistical Conferences in 2010 and 2012. Authors of papers from these OZCOTS conferences were invited to develop chapters for refereeing and inclusion in this volume. There are sections on keynote topics, undergraduate curriculum and learning, professional development, postgraduate learning, and papers from OZCOTS 2012. Because OZCOTS aim to unite statisticians and statistics educators, the approaches this volume takes are immediately relevant to all who have a vested interest in good teaching practices. Glo...

Developing physics learning media using 3D cartoon

Science.gov (United States)

Wati, M.; Hartini, S.; Hikmah, N.; Mahtari, S.

2018-03-01

This study focuses on developing physics learning media using 3D cartoon on the static fluid topic. The purpose of this study is to describe: (1) the validity of the learning media, (2) the practicality of the learning media, and (3) the effectiveness of the learning media. This study is a research and development using ADDIE model. The subject of the implementation of media used class XI Science of SMAN 1 Pulau Laut Timur. The data were obtained from the validation sheet of the learning media, questionnaire, and the test of learning outcomes. The results showed that: (1) the validity of the media category is valid, (2) the practicality of the media category is practice, and (3) the effectiveness of the media category is effective. It is concluded that the learning using 3D cartoon on the static fluid topic is eligible to use in learning.

Flipped Learning in the Workplace

Science.gov (United States)

Nederveld, Allison; Berge, Zane L.

2015-01-01

Purpose: The purpose of this paper is to serve as a summary of resources on flipped learning for workplace learning professionals. A recent buzzword in the training world is "flipped". Flipped learning and the flipped classroom are hot topics that have emerged in K-12 education, made their way to the university and are now being noticed…

Content-Based Instruction Approach In Instructional Multimedia For English Learning

OpenAIRE

Farani, Rizki

2016-01-01

Content-based Instruction (CBI) is an approach in English learning that integrates certain topic and English learning objectives. This approach focuses on using English competencies as a “bridge” to comprehend certain topic or theme in English. Nowadays, this approach can be used in instructional multimedia to support English learning by using computer. Instructional multimedia with computer system refers to the sequential or simultaneous use of variety of media formats in a given presentatio...

Recent topical research on global, energy, health & medical, and tourism economics, and global software: An overview

NARCIS (Netherlands)

C-L. Chang (Chia-Lin); M.J. McAleer (Michael)

2017-01-01

textabstractThe paper presents an overview of recent topical research on global, energy, health & medical, and tourism economics, and global software. We have interpreted "global" in the title of the Journal of Reviews on Global Economics to cover contributions that have a global impact on

Freshman Health Topics

Science.gov (United States)

Hovde, Karen

2011-01-01

This article examines a cluster of health topics that are frequently selected by students in lower division classes. Topics address issues relating to addictive substances, including alcohol and tobacco, eating disorders, obesity, and dieting. Analysis of the topics examines their interrelationships and organization in the reference literature.…

Evaluation of eLearning for the teaching of undergraduate ophthalmology at medical school: a randomised controlled crossover study.

Science.gov (United States)

Petrarca, Caroline A; Warner, Julia; Simpson, Andrew; Petrarca, Robert; Douiri, Abdel; Byrne, David; Jackson, Timothy L

2018-05-25

To compare ophthalmology teaching delivered by eLearning with traditional lectures, in terms of undergraduate performance and satisfaction. Randomised controlled crossover study at King's College London Medical School with 245 third year medical students. The ophthalmology syllabus was divided into ten topics. Five topics were randomised to be taught by traditional lectures and five by electronic learning (eLearning). For the second rotation of students the topics were crossed over, so that those topics taught by traditional lectures were taught by eLearning and vice versa. At the end of each rotation the students sat an optional online mock examination containing 100 questions (ten on each topic). Students' examination performance was compared between the two teaching methods. Student satisfaction was assessed using an online satisfaction survey. Outcome measures were the mean percentage of correct answers across all ten topics, student satisfaction and self-assessed knowledge. The mean examination score for questions taught by eLearning was 58% (95% CI, 55.7-59.6), versus 55% (95% CI 53.1-56.8) for traditional lectures (P = 0.047). Across all topics students were more satisfied with eLearning than traditional lectures, with 87% (95% CI 84.5-88.4) rating eLearning as 'excellent' or 'good' versus 65% (95% CI 62.0-67.4) for lectures (p eLearning compared to traditional lectures, with 166 (69.7%) rating eLearning 'much better' or 'better,' 61 (25.6%) 'neutral' and 11 (4.6%) 'worse' or 'much worse.' Student satisfaction and examination performance are both enhanced by ophthalmology eLearning. Similar eLearning modules may be suitable for other specialties and postgraduate learning.

Experiential Learning Approach for Training Pre-Service Teachers in Environmental Science Using Mobile Apps

Science.gov (United States)

Senan, D. C.; Nair, U. S.

2016-12-01

In the context of complex environmental problems, it is desirable to enhance public awareness of environmental issues. In response to this challenge, environmental education is an integral part of curriculum at all levels of education, including teacher education. However, it is often criticized for being reductionist and empirical and thus not optimal for training next generation of students who are expected to formulate solutions to complex, interdisciplinary environmental issues. Experiential learning is better suited for such training. It create a connection between the learner and the content by involving the students in reflection on their experiences. It is very appropriate in teacher education where students carry their own unique experiences into the learning environment. This study will report on the use of mobile application, based on the Open Data Kit (ODK), along with the Google Earth Engine (GEE) to implement experiential learning approach for teacher education in Kerala, India. The specific topic considered is land use and land cover change due to human activity. The approach will involve students using Android mobile application to collect a sample of geo-locations for different land cover types. This data will be used to classify satellite imagery and understand how their neighborhoods have changed over the years. The present study will also report on evaluation of effectiveness of the developed Mobile Application as a tool for experiential learning of Environmental Education. The study uses an experimental method with mixed methods-one group Pretest-Posttest design. The sample for the study consists of 300 Pre-service teachers of Kerala, India. The data collected is analyzed using paired t tests. Qualitative feedback about the Mobile Application through focus group interviews is also collected. Implementation of the experiential learning algorithm and analysis of data collected for evaluation of the learning approach will also be presented.

Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

Science.gov (United States)

Anderson, Kyle E.; Glenn, Nancy F.; Spaete, Lucas P.; Shinneman, Douglas; Pilliod, David S.; Arkle, Robert; McIlroy, Susan; Derryberry, DeWayne R.

2018-01-01

Terrestrial laser scanning (TLS) has been shown to enable an efficient, precise, and non-destructive inventory of vegetation structure at ranges up to hundreds of meters. We developed a method that leverages TLS collections with machine learning techniques to model and map canopy cover and biomass of several classes of short-stature vegetation across large plots. We collected high-definition TLS scans of 26 1-ha plots in desert grasslands and big sagebrush shrublands in southwest Idaho, USA. We used the Random Forests machine learning algorithm to develop decision tree models predicting the biomass and canopy cover of several vegetation classes from statistical descriptors of the aboveground heights of TLS points. Manual measurements of vegetation characteristics collected within each plot served as training and validation data. Models based on five or fewer TLS descriptors of vegetation heights were developed to predict the canopy cover fraction of shrubs (R2 = 0.77, RMSE = 7%), annual grasses (R2 = 0.70, RMSE = 21%), perennial grasses (R2 = 0.36, RMSE = 12%), forbs (R2 = 0.52, RMSE = 6%), bare earth or litter (R2 = 0.49, RMSE = 19%), and the biomass of shrubs (R2 = 0.71, RMSE = 175 g) and herbaceous vegetation (R2 = 0.61, RMSE = 99 g) (all values reported are out-of-bag). Our models explained much of the variability between predictions and manual measurements, and yet we expect that future applications could produce even better results by reducing some of the methodological sources of error that we encountered. Our work demonstrates how TLS can be used efficiently to extend manual measurement of vegetation characteristics from small to large plots in grasslands and shrublands, with potential application to other similarly structured ecosystems. Our method shows that vegetation structural characteristics can be modeled without classifying and delineating individual plants, a challenging and time-consuming step common in previous

Specialists' meeting on heat and mass transfer in the reactor cover gas, Harwell, England, 8-10 October 1985

International Nuclear Information System (INIS)

1986-07-01

The specialists' meeting on ''Heat and Mass Transfer in the Reactor Cover Gas'' was held at Harwell, the United Kingdom, on 8-10 October 1985. It was attended by 24 participants from all IWGFR member-countries: France, the Federal Republic of Germany, India, Italy, Japan, the Union of Soviet Socialist Republics, the United Kingdom and the United States. The meeting was presided over by Dr K. Eickhoff of the United Kingdom. The following topical areas were reviewed and discussed during the meeting: 1. National review presentations on the status of activities on heat and mass transfer in the reactor cover gas - 2 papers; 2. Aerosol dynamics - 4 papers; 3. Aerosol trapping - 2 papers; 4. Heat and mass transfer through cover gas in annuli - 3 papers; 5. Radiative properties - 4 papers; 6. Modelling of cover gas - 4 papers. A separate abstract was prepared for each of these papers. On the basis of papers presented and discussed by participants, session summaries and conclusions were drafted on the above topical areas. These summaries, as well as general conclusions and recommendations of the meeting were reviewed and agreed upon by consensus at the end of the meeting

Learning from WebQuests

Science.gov (United States)

Gaskill, Martonia; McNulty, Anastasia; Brooks, David W.

2006-01-01

WebQuests are activities in which students use Web resources to learn about school topics. WebQuests are advocated as constructivist activities and ones generally well regarded by students. Two experiments were conducted in school settings to compare learning using WebQuests versus conventional instruction. Students and teachers both enjoyed…

Situating Student Learning in Rich Contexts: A Constructionist Approach to Digital Archives Education

Directory of Open Access Journals (Sweden)

Anthony Cocciolo

2011-09-01

Full Text Available Objective - This paper sought to determine whether a constructionist pedagogical approach to digital archives education could positively influence student perceptions of their learning. Constructionism is a learning theory that places students in the role of designers and emphasizes creating tangible artifacts in a social environment. This theory was used in the instructional design of the Digital Archive Creation Project (DACP, a major component of a digital archives course offered to students enrolled in a Master’s program in library science at Pratt Institute School of Library and Information Science.Methods - Participants were the 31 students enrolled in the DACP during the fall and spring semesters of 2010. They were surveyed as to their perceived learning outcomes as a result of their engagement with the DACP. Results - Results indicated that students perceived strong increases in their learning following their engagement in the DACP, particularly in terms of their skills, confidence, understanding of topics covered in other courses, and overall understanding. Factors that influenced these increases include the collaborative teamwork, the role of the facilitator or instructor, and individual effort.Conclusion - The project demonstrated that a constructionist pedagogical approach to digital archives education positively impacted students’ perceptions of their learning.

Expertise finding in bibliographic network: topic dominance learning approach.

Science.gov (United States)

Neshati, Mahmood; Hashemi, Seyyed Hadi; Beigy, Hamid

2014-12-01

Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose two discriminative methods for realizing leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. We recognize three feature groups that can discriminate relevant experts from other authors of a document. Experimental results on a real dataset, and a synthetic one that is gathered from a Microsoft academic search engine, show that the proposed model significantly improves the performance of expert finding in terms of all common information retrieval evaluation metrics.

AMEE Guide 32: e-Learning in medical education Part 1: Learning, teaching and assessment.

Science.gov (United States)

Ellaway, Rachel; Masters, Ken

2008-06-01

In just a few years, e-learning has become part of the mainstream in medical education. While e-learning means many things to many people, at its heart it is concerned with the educational uses of technology. For the purposes of this guide, we consider the many ways that the information revolution has affected and remediated the practice of healthcare teaching and learning. Deploying new technologies usually introduces tensions, and e-learning is no exception. Some wish to use it merely to perform pre-existing activities more efficiently or faster. Others pursue new ways of thinking and working that the use of such technology affords them. Simultaneously, while education, not technology, is the prime goal (and for healthcare, better patient outcomes), we are also aware that we cannot always predict outcomes. Sometimes, we have to take risks, and 'see what happens.' Serendipity often adds to the excitement of teaching. It certainly adds to the excitement of learning. The use of technology in support of education is not, therefore, a causal or engineered set of practices; rather, it requires creativity and adaptability in response to the specific and changing contexts in which it is used. Medical Education, as with most fields, is grappling with these tensions; the AMEE Guide to e-Learning in Medical Education hopes to help the reader, whether novice or expert, navigate them. This Guide is presented both as an introduction to the novice, and as a resource to more experienced practitioners. It covers a wide range of topics, some in broad outline, and others in more detail. Each section is concluded with a brief 'Take Home Message' which serves as a short summary of the section. The Guide is divided into two parts. The first part introduces the basic concepts of e-learning, e-teaching, and e-assessment, and then focuses on the day-to-day issues of e-learning, looking both at theoretical concepts and practical implementation issues. The second part examines technical

Does topical isotretinoin exposure during pregnancy increase the risk of congenital malformations?

Directory of Open Access Journals (Sweden)

İsmail Yılmaz

2015-06-01

Full Text Available A 34-year-old patient learned that she was 7 weeks pregnant while she was using topical isotretinoin + erythromycin gel for acne treatment and referred to Izmir Katip Celebi University Teratology Information Service for information regarding the risk of teratogenicity. Systemic use of isotretinoin is well-known for its teratogenic effects and case reports suggesting possible teratogenic effects regarding topical exposure to retinoids in pregnancy exist in the literature. However, findings reported in four prospective controlled studies do not suggest an increased congenital malformation risk in case of inadvertent exposure during pregnancy. This manuscript aims to give a summary and evaluation of available data for counseling pregnant patients regarding the possible teratogenic risk of inadvertent topical isotretinoin exposure during pregnancy. It also aims to emphasize the importance of increasing communication between pregnant patients, clinicians and teratology information services for the benefit of mother and unborn.

Academicians' and Practitioners' Views on the Importance of the Topical Content in the First Auditing Course

Science.gov (United States)

Armitage, Jack; Poyzer, Jillian K.

2010-01-01

The research question addressed in this study is to compare and identify differences between academics teaching auditing classes and practicing accountants regarding the importance of topics covered in the first university auditing course. This is accomplished by surveying academics and practitioners regarding their perceptions of the importance…

Evaluating topic models with stability

CSIR Research Space (South Africa)

De Waal, A

2008-11-01

Full Text Available Topic models are unsupervised techniques that extract likely topics from text corpora, by creating probabilistic word-topic and topic-document associations. Evaluation of topic models is a challenge because (a) topic models are often employed...

Topical report review status

International Nuclear Information System (INIS)

1997-08-01

This report provides industry with procedures for submitting topical reports, guidance on how the U.S. Nuclear Regulatory Commission (NRC) processes and responds to topical report submittals, and an accounting, with review schedules, of all topical reports currently accepted for review schedules, of all topical reports currently accepted for review by the NRC. This report will be published annually. Each sponsoring organization with one or more topical reports accepted for review copies

A problem-posing approach to teaching the topic of radioactivity

Science.gov (United States)

Klaassen, C. W. J. M.

1995-12-01

This thesis highlights a problem-posing approach to science education. By this is meant an approach that explicitly aims at providing students with content-related motives for extending their existing conceptual resources, experiential base and belief system in a certain direction, such that a further development in that direction eventually leads to a proper understanding of science. An elaboration of that approach consists in designing, testing, improving, etc, concrete didactical structures. The eventual aim of the approach is a coherent, and by means of developmental research empirically supported, didactical structure that covers the whole of science education. The thesis also contains a few steps in the direction suggested by this programmatic view. It contains an illustration of the heuristic value of an articulation of a didactical structure in some main substructures, based on the work of van Hiele and ten Voorde. It further contains a discussion of some methodological aspects relating to the design and evaluation of a didactical structure, and of the role that a further developed version of Davidson's theory of interpretation could play in this respect. A detailed didactical structure of the topic of radioactivity is presented, evaluated and, on the basis of the evaluation, judged as `good enough.' Also the role of the teacher in a problem-posing approach is dis-cussed, and in particular the consequences for that role of giving students control over and responsibility for the progress of their learning process with respect to content.

A problem-posing approach to teaching the topic of radioactivity

International Nuclear Information System (INIS)

Klaassen, J.M.

1995-01-01

This thesis highlights a problem-posing approach to science education. By this is meant an approach that explicitly aims at providing students with content-related motives for extending their existing conceptual resources, experiential base and belief system in a certain direction, such that a further development in that direction eventually leads to a proper understanding of science. An elaboration of that approach consists in designing, testing, improving, etc, concrete didactical structures. The eventual aim of the approach is a coherent, and by means of developmental research empirically supported, didactical structure that covers the whole of science education. The thesis also contains a few steps in the direction suggested by this programmatic view. It contains an illustration of the heuristic value of an articulation of a didactical structure in some main substructures, based on the work of van Hiele and ten Voorde. It further contains a discussion of some methodological aspects relating to the design and evaluation of a didactical structure, and of the role that a further developed version of Davidson's theory of interpretation could play in this respect. A detailed didactical structure of the topic of radioactivity is presented, evaluated and, on the basis of the evaluation, judged as 'good enough'. Also the role of the teacher in a problem-posing approach is discussed, and in particular the consequences for that role of giving students control over and responsibility for the progress of their learning process with respect to content. refs

Global pattern for the effect of climate and land cover on water yield

Science.gov (United States)

Guoy Zhou; Xiaohua Wei; Xiuzhi Chen; Ping Zhou; Xiaodong Liu; Yin Xiao; Ge Sun; David F. Scott; Shuyidan Zhou; Liusheng Hano; Yongxian Su

2015-01-01

Research results on the effects of land cover change on water resources vary greatly and the topic remains controversial. Here we use published data worldwide to examine the validity of Fuh’s equation, which relates annual water yield (R) to a wetness index (precipitation/ potential evapotranspiration; P/PET) and watershed characteristics (m). We identify two critical...

Learning analytics fundaments, applications, and trends : a view of the current state of the art to enhance e-learning

CERN Document Server

2017-01-01

This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Workplace learning: panacea or challenge? : Epilogue of a special issue on boundaries of workplace learning

NARCIS (Netherlands)

Dr. J. Onstenk

2012-01-01

This article reflects on the previous articles in this special issue by discussing some common themes and raising some proposals for future research on the topic of workplace learning and its boundaries. The article subsequently discusses objects and results of workplace learning, the issue of

Analysis of an Interactive Technology Supported Problem-Based Learning STEM Project Using Selected Learning Sciences Interest Areas (SLSIA)

Science.gov (United States)

Kumar, David Devraj

2017-01-01

This paper reports an analysis of an interactive technology-supported, problem-based learning (PBL) project in science, technology, engineering and mathematics (STEM) from a Learning Sciences perspective using the Selected Learning Sciences Interest Areas (SLSIA). The SLSIA was adapted from the "What kinds of topics do ISLS [International…

Dynamic Learning Objects to Teach Java Programming Language

Science.gov (United States)

Narasimhamurthy, Uma; Al Shawkani, Khuloud

2010-01-01

This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…

Visual Learning in Application of Integration

Science.gov (United States)

Bt Shafie, Afza; Barnachea Janier, Josefina; Bt Wan Ahmad, Wan Fatimah

Innovative use of technology can improve the way how Mathematics should be taught. It can enhance student's learning the concepts through visualization. Visualization in Mathematics refers to us of texts, pictures, graphs and animations to hold the attention of the learners in order to learn the concepts. This paper describes the use of a developed multimedia courseware as an effective tool for visual learning mathematics. The focus is on the application of integration which is a topic in Engineering Mathematics 2. The course is offered to the foundation students in the Universiti Teknologi of PETRONAS. Questionnaire has been distributed to get a feedback on the visual representation and students' attitudes towards using visual representation as a learning tool. The questionnaire consists of 3 sections: Courseware Design (Part A), courseware usability (Part B) and attitudes towards using the courseware (Part C). The results showed that students demonstrated the use of visual representation has benefited them in learning the topic.

Established and novel approaches for teaching and learning of veterinary parasitology in Berlin.

Science.gov (United States)

Clausen, Peter-Henning; Stelzer, Sandra; Nijhof, Ard; Krücken, Jürgen; von Samson-Himmelstjerna, Georg

2018-03-15

The teaching of veterinary parasitology to the large number of students at the Freie Universität Berlin is mainly limited to conventional face-to-face lectures, supplemented by practical classes. Extensive parasite descriptions and diagnostic techniques are at the core of the practical classes, which are also intended to emphasise key biological and veterinary aspects covered in lectures. Further in-depth and specific learning is achieved within a detailed framework of elective courses, with defined learning outcomes for small groups of students, focusing on themes such as 'diagnosis and treatment of ectoparasites in companion animals' or 'zoonotic parasites'. Additionally, structured excursions are designed to offer experience through collaborative international investigations. Organ-based approaches are also an integral part of our veterinary parasitology teaching, done in collaboration with the clinical and para-clinical departments, either via face-to-face interactions or online. Wide-ranging themes, such as 'causes of colic in horses' or 'atopic dermatitis in dogs' are covered. Recently, diverse blended learning elements were introduced into the curriculum (e.g., QuerVet), which makes teaching and learning more flexible, in terms of time and space, and fosters self-directed learning and participation among the students. A new platform to provide online lectures for students, termed VET Talks, was launched in 2015 by the International Veterinary Student's Association (IVSA), and is as a publicly available educational support system for students. Provided free to veterinary students throughout the world, this platform offers students the opportunity to access lectures on interesting topics by outstanding speakers who are nominated by their students. Finally, continuing education (CE) opportunities are provided through specific Masters courses (Master of Equine Medicine, Master of Small Animal Sciences), classical seminars and recent webinars. Copyright © 2018

Quality Evaluation of Land-Cover Classification Using Convolutional Neural Network

Science.gov (United States)

Dang, Y.; Zhang, J.; Zhao, Y.; Luo, F.; Ma, W.; Yu, F.

2018-04-01

Land-cover classification is one of the most important products of earth observation, which focuses mainly on profiling the physical characters of the land surface with temporal and distribution attributes and contains the information of both natural and man-made coverage elements, such as vegetation, soil, glaciers, rivers, lakes, marsh wetlands and various man-made structures. In recent years, the amount of high-resolution remote sensing data has increased sharply. Accordingly, the volume of land-cover classification products increases, as well as the need to evaluate such frequently updated products that is a big challenge. Conventionally, the automatic quality evaluation of land-cover classification is made through pixel-based classifying algorithms, which lead to a much trickier task and consequently hard to keep peace with the required updating frequency. In this paper, we propose a novel quality evaluation approach for evaluating the land-cover classification by a scene classification method Convolutional Neural Network (CNN) model. By learning from remote sensing data, those randomly generated kernels that serve as filter matrixes evolved to some operators that has similar functions to man-crafted operators, like Sobel operator or Canny operator, and there are other kernels learned by the CNN model that are much more complex and can't be understood as existing filters. The method using CNN approach as the core algorithm serves quality-evaluation tasks well since it calculates a bunch of outputs which directly represent the image's membership grade to certain classes. An automatic quality evaluation approach for the land-cover DLG-DOM coupling data (DLG for Digital Line Graphic, DOM for Digital Orthophoto Map) will be introduced in this paper. The CNN model as an robustness method for image evaluation, then brought out the idea of an automatic quality evaluation approach for land-cover classification. Based on this experiment, new ideas of quality evaluation

Basic Burns Management E-Learning: A New Teaching Tool.

Science.gov (United States)

Egro, Francesco M

Burns teaching is organized only in a few medical schools in the United Kingdom. An e-learning tutorial was developed with the objective of incorporating burns teaching within the medical school curriculum. A 33-webpage e-learning was created, covering topics such as local and general response to burns, assessment of burns, first aid, primary and secondary survey, and referral guidelines. Medical student satisfaction was then evaluated using a 12-question feedback survey rated based on a Likert scale from 1 (very poor) to 5 (very good). The 12-question survey was completed by a total of 18 medical students ranging from second to fourth years (second = 17%, third = 22%, fourth = 61%). While only a couple of students had received prior burns teaching, 50% of the cohort had an interest to pursue surgery as a career. The majority of students (72%) would be interested to have an e-learning module on basic burns management in their medical curriculum. The means of all domains specific to the e-learning were rated as "good" or "very good." Students' rating for ease of use was 87%, usefulness was 88%, relevance to the medical curriculum was 90%, clarity and quality of content were 78% and 83%, respectively, design was 79%, and the overall satisfaction with this e-learning was 87%. The "Basic Burns Management" e-learning tutorial can provide an efficient and effective means of information delivery to medical students and junior doctors, allowing easy and fast incorporation of burns teaching within the medical curriculum and in other medical teaching settings.

Syntacticized topics in Kurmuk

DEFF Research Database (Denmark)

Andersen, Torben

2015-01-01

This article argues that Kurmuk, a little-described Western Nilotic language, is characterized by a syntacticized topic whose grammatical relation is variable. In this language, declarative clauses have as topic an obligatory preverbal NP which is either a subject, an object or an adjunct....... The grammatical relation of the topic is expressed by a voice-like inflection of the verb, here called orientation. While subject-orientation is morphologically unmarked, object-oriented and adjunct-oriented verbs are marked by a subject suffix or by a suffix indicating that the topic is not subject, and adjunct......-orientation differs from object-orientation by a marked tone pattern. Topic choice largely reflects information structure by indicating topic continuity. The topic also plays a crucial role in relative clauses and in clauses with contrastive constituent focus, in that objects and adjuncts can only be relativized...

Evaluation of Novel Antimicrobial Peptides as Topical Anti-Infectives with Broad Spectrum Activity Against Combat-Related Bacterial and Fungal Wound Infections

Science.gov (United States)

2016-10-01

Inc. Vallejo, CA 94592 REPORT DATE: October 2016 TYPE OF REPORT: Annual PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort...2016 2. REPORT TYPE Annual 3. DATES COVERED 30 Sep 2015 - 29 Sep 2016 4. TITLE AND SUBTITLE Evaluation of Novel Antimicrobial Peptides as Topical...antibiotics and early debridement has been associated with a large reduction in burn wound infections. Current topical antibiotics include

Improving family medicine resident training in dementia care: an experiential learning opportunity in Primary Care Collaborative Memory Clinics.

Science.gov (United States)

Lee, Linda; Weston, W Wayne; Hillier, Loretta; Archibald, Douglas; Lee, Joseph

2018-06-21

Family physicians often find themselves inadequately prepared to manage dementia. This article describes the curriculum for a resident training intervention in Primary Care Collaborative Memory Clinics (PCCMC), outlines its underlying educational principles, and examines its impact on residents' ability to provide dementia care. PCCMCs are family physician-led interprofessional clinic teams that provide evidence-informed comprehensive assessment and management of memory concerns. Within PCCMCs residents learn to apply a structured approach to assessment, diagnosis, and management; training consists of a tutorial covering various topics related to dementia followed by work-based learning within the clinic. Significantly more residents who trained in PCCMCs (sample = 98), as compared to those in usual training programs (sample = 35), reported positive changes in knowledge, ability, and confidence in ability to assess and manage memory problems. The PCCMC training intervention for family medicine residents provides a significant opportunity for residents to learn about best clinical practices and interprofessional care needed for optimal dementia care integrated within primary care practice.

State-of-the-art Analysis on the Knowledge and Skills Gaps on the Topic of Industry 4.0 and the Requirements for Work-based Learning in Romania

Directory of Open Access Journals (Sweden)

Liviu MOLDOVAN

2018-06-01

Full Text Available This paper reports the state-of-the-art analysis on the knowledge and skills gaps on the topic of Industry 4.0 and the requirements for work-based learning (WBL consists of the results from a large-scale survey conducted among two target groups: manufacturing small and mediumsized enterprises (SMEs and vocational education and training (VET providers/trainers/consultants in Romania and cross-sectional analysis of the viewpoints of manufacturing SMEs representatives vs. VET providers. It is part of the Erasmus+ project “Work-based training approach in the field of Industry 4.0 for competitive European Industry”- iNduce 4.0. Based on the results from the researches carried out in Romania are defined the key points concerning the elaboration of the iNduce 4.0 training course and the iNduce 4.0 Practical methodology for WBL. It foresees the awareness of the Industry 4.0 topic, the training modules developed, the needed skills and the proportion of theory and practice.

E-Learning Systems, Environments and Approaches

OpenAIRE

Isaias, P.; Spector, J.M.; Ifenthaler, D.; Sampson, D.G.

2015-01-01

The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Par...

An analysis of how electromagnetic induction and Faraday's law are presented in general physics textbooks, focusing on learning difficulties

International Nuclear Information System (INIS)

Guisasola, Jenaro; Zuza, Kristina; Almudi, José-Manuel

2013-01-01

Textbooks are a very important tool in the teaching–learning process and influence important aspects of the process. This paper presents an analysis of the chapter on electromagnetic induction and Faraday's law in 19 textbooks on general physics for first-year university courses for scientists and engineers. This analysis was based on criteria formulated from the theoretical framework of electromagnetic induction in classical physics and students' learning difficulties concerning these concepts. The aim of the work presented here is not to compare a textbook against the ideal book, but rather to try and find a series of explanations, examples, questions, etc that provide evidence on how the topic is presented in relation to the criteria above. It concludes that despite many aspects being covered properly, there are others that deserve greater attention. (paper)

2nd Topical Workshop on Laser Technology and Optics Design

CERN Document Server

2013-01-01

Lasers have a variety of applications in particle accelerator operation and will play a key role in the development of future particle accelerators by improving the generation of high brightness electron and exotic ion beams and through increasing the acceleration gradient. Lasers will also make an increasingly important contribution to the characterization of many complex particle beams by means of laser-based beam diagnostics methods. The second LANET topical workshop will address the key aspects of laser technology and optics design relevant to laser application to accelerators. The workshop will cover general optics design, provide an overview of different laser sources and discuss methods to characterize beams in details. Participants will be able to choose from a range of topical areas that go deeper in more specific aspects including tuneable lasers, design of transfer lines, noise sources and their elimination and non-linear optics effects. The format of the workshop will be mainly training-based wit...

Melanoma or Pseudo melanoma Change in a pigmented lesion after application of topical 5-Fluorouracil

Science.gov (United States)

2017-10-26

2. REPORT TYPE 3. DATES COVERED (From - To) 10/26/2017 Poster 10/26/2017-10/29/2017 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Melanoma or Pseudo...melanoma? Change in a pigmented lesion after application of topical 5-Fluorouracil. 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d

Active Learning Environment with Lenses in Geometric Optics

Science.gov (United States)

Tural, Güner

2015-01-01

Geometric optics is one of the difficult topics for students within physics discipline. Students learn better via student-centered active learning environments than the teacher-centered learning environments. So this study aimed to present a guide for middle school teachers to teach lenses in geometric optics via active learning environment…

A New Mobile Learning Adaptation Model

OpenAIRE

Mohamd Hassan Hassan; Jehad Al-Sadi

2009-01-01

This paper introduces a new model for m- Learning context adaptation due to the need of utilizing mobile technology in education. Mobile learning; m-Learning for short; in considered to be one of the hottest topics in the educational community, many researches had been done to conceptualize this new form of learning. We are presenting a promising design for a model to adapt the learning content in mobile learning applications in order to match the learner context, preferences and the educatio...

[Public Health as an Applied, Multidisciplinary Subject: Is Research-Based Learning the Answer to Challenges in Learning and Teaching?

Science.gov (United States)

Gerhardus, A; Schilling, I; Voss, M

2017-03-01

Public health education aims at enabling students to deal with complex health-related challenges using appropriate methods based on sound theoretical understanding. Virtually all health-related problems in science and practice require the involvement of different disciplines. However, the necessary interdisciplinarity is only partly reflected in the curricula of public health courses. Also theories, methods, health topics, and their application are often taught side-by-side and not together. For students, it can become an insurmountable challenge to integrate the different disciplines ("horizontal integration") and theories, methods, health topics, and their application ("vertical integration"). This situation is specific for education in public health but is representative for other interdisciplinary fields as well. Several approaches are available to achieve the horizontal integration of different disciplines and vertical integration of theories, methods, health topics, and their application. A curriculum that is structured by topics, rather than disciplines might be more successful in integrating different disciplines. Vertical integration can be achieved by research-based learning. Research-based learning places a student-led research project at the centre of teaching. Students choose a topic and a research question, raise their own questions for theories and methods and will hopefully cross the seeming chasm between science and practice. Challenges of research-based learning are enhanced demands on students, teachers and curriculum design. © Georg Thieme Verlag KG Stuttgart · New York.

Car Covers | Outdoor Covers Canada

OpenAIRE

Covers, Outdoor

2018-01-01

Protect your car from the elements with Ultimate Touch Car Cover. The multi-layer non-woven fabric is soft on the finish and offers 4 seasons all weather protection.https://outdoorcovers.ca/car-covers/

Supervised Learning for Visual Pattern Classification

Science.gov (United States)

Zheng, Nanning; Xue, Jianru

This chapter presents an overview of the topics and major ideas of supervised learning for visual pattern classification. Two prevalent algorithms, i.e., the support vector machine (SVM) and the boosting algorithm, are briefly introduced. SVMs and boosting algorithms are two hot topics of recent research in supervised learning. SVMs improve the generalization of the learning machine by implementing the rule of structural risk minimization (SRM). It exhibits good generalization even when little training data are available for machine training. The boosting algorithm can boost a weak classifier to a strong classifier by means of the so-called classifier combination. This algorithm provides a general way for producing a classifier with high generalization capability from a great number of weak classifiers.

Using a collaborative Mobile Augmented Reality learning application (CoMARLA) to improve Improve Student Learning

Science.gov (United States)

Hanafi, Hafizul Fahri bin; Soh Said, Che; Hanee Ariffin, Asma; Azlan Zainuddin, Nur; Samsuddin, Khairulanuar

2016-11-01

This study was carried out to improve student learning in ICT course using a collaborative mobile augmented reality learning application (CoMARLA). This learning application was developed based on the constructivist framework that would engender collaborative learning environment, in which students could learn collaboratively using their mobile phones. The research design was based on the pretest posttest control group design. The dependent variable was students’ learning performance after learning, and the independent variables were learning method and gender. Students’ learning performance before learning was treated as the covariate. The sample of the study comprised 120 non-IT (non-technical) undergraduates, with the mean age of 19.5. They were randomized into two groups, namely the experimental and control group. The experimental group used CoMARLA to learn one of the topics of the ICT Literacy course, namely Computer System; whereas the control group learned using the conventional approach. The research instrument used was a set of multiple-choice questions pertaining to the above topic. Pretesting was carried out before the learning sessions, and posttesting was performed after 6 hours of learning. Using the SPSS, Analysis of Covariance (ANCOVA) was performed on the data. The analysis showed that there were main effects attributed to the learning method and gender. The experimental group outperformed the control group by almost 9%, and male students outstripped their opposite counterparts by as much as 3%. Furthermore, an interaction effect was also observed showing differential performances of male students based on the learning methods, which did not occur among female students. Hence, the tool can be used to help undergraduates learn with greater efficacy when contextualized in an appropriate setting.

Learning Opportunities (Editorial

Directory of Open Access Journals (Sweden)

Denise Koufogiannakis

2009-12-01

Tennessee, where she is a Master’s student in Information Science. She anticipates completing her program in December 2010. Welcome Andrea!In this issue, we have three interesting articles covering a variety of topics; learning outcomes of educational games, a library website usability study, and insights into Iranian medical librarians’ attitudes and perceptions of evidence based practice. We also have evidence summaries on topics as diverse as professional development, information literacy, and web usability. And don’t forget to checkout the popular EBL101 column by Virginia Wilson, which always attracts a high number of downloads. With all this content there should be a learning opportunity for every reader. Enjoy!

Topical Drugs for Pain Relief

Directory of Open Access Journals (Sweden)

Anjali Srinivasan

2015-03-01

Full Text Available Topical therapy helps patients with oral and perioral pain problems such as ulcers, burning mouth syndrome, temporomandibular disorders, neuromas, neuropathies and neuralgias. Topical drugs used in the field of dentistry are topical anaesthetics, topical analgesics, topical antibiotics and topical corticosteroids. It provides symptomatic/curative effect. Topical drugs are easy to apply, avoids hepatic first pass metabolism and more sites specific. But it can only be used for medications that require low plasma concentrations to achieve a therapeutic effect.

Edutourism Taka Bonerate National Park through Scientific Approach to Improve Student Learning Outcomes

Science.gov (United States)

Hayati, R. S.

2017-02-01

This research aim is develop the potential of Taka Bonerate National Park as learning resources through edutourism with scientific approach to improve student learning outcomes. Focus of student learning outcomes are students psychomotor abilities and comprehension on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The edutourism development products are teacher manual, edutourism worksheet, material booklet, guide’s manual, and Taka Bonerate National Park governor manual. The method to develop edutourism products is ADDIE research and development model that consist of analysis, design, development and production, implementation, and evaluation step. The subjects in the implementation step were given a pretest and posttest and observation sheet to see the effect of edutourism Taka Bonerate National Park through scientific approach to student learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The data were analyzed qualitative descriptively. The research result is edutourism Taka Bonerate National Park through scientific approach can improve students learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. Edutourism Taka Bonerate National Park can be an alternative of learning method on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics.

Europe, Middle East and North Africa Conference on Technology and Security to Support Learning 2016

CERN Document Server

Serrhini, Mohammed; Felgueiras, Carlos

2017-01-01

This book contains a selection of articles from The Europe, Middle East and North Africa Conference on Technology and Security to Support Learning 2016 (EMENA-TSSL'16), held between the 3th and 5th of October at Saidia, Oujda, Morocco. EMENA-TSSL'16 is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges in Information & Communication Technologies, and Security to support Learning. The main topics covered are: A) Online Education; B) Emerging Technologies in Education; C) Artificial Intelligence in Education; D) Gamification and Serious games; E) Network & Web Technologies Applications; F) Online experimentation and Virtual Laboratories; G) Multimedia Systems and Applications; H) Security and Privacy; I) Multimedia, Computer Vision and Image Processing; J) Cloud, Big Data Analytics and Applications; K) Human-Computer Interaction; L) Software Systems, Architectures, Applications and Tools; M) Onli...

Topic modeling for cluster analysis of large biological and medical datasets.

Science.gov (United States)

Zhao, Weizhong; Zou, Wen; Chen, James J

2014-01-01

The big data moniker is nowhere better deserved than to describe the ever-increasing prodigiousness and complexity of biological and medical datasets. New methods are needed to generate and test hypotheses, foster biological interpretation, and build validated predictors. Although multivariate techniques such as cluster analysis may allow researchers to identify groups, or clusters, of related variables, the accuracies and effectiveness of traditional clustering methods diminish for large and hyper dimensional datasets. Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining. Its ability to reduce high dimensionality to a small number of latent variables makes it suitable as a means for clustering or overcoming clustering difficulties in large biological and medical datasets. In this study, three topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, are proposed and tested on the cluster analysis of three large datasets: Salmonella pulsed-field gel electrophoresis (PFGE) dataset, lung cancer dataset, and breast cancer dataset, which represent various types of large biological or medical datasets. All three various methods are shown to improve the efficacy/effectiveness of clustering results on the three datasets in comparison to traditional methods. A preferable cluster analysis method emerged for each of the three datasets on the basis of replicating known biological truths. Topic modeling could be advantageously applied to the large datasets of biological or medical research. The three proposed topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, yield clustering improvements for the three different data types. Clusters more efficaciously represent truthful groupings and subgroupings in the data than traditional methods, suggesting

Learning by Teaching: Implementation of a Multimedia Project in Astro 101

Science.gov (United States)

Perrodin, D.; Lommen, A.

2011-09-01

Astro 101 students have deep-seated pre-conceptions regarding such topics as the cause of moon phases or the seasons. Beyond exploring the topics in a learner-centered fashion, the "learning by teaching" philosophy enables students to truly master concepts. In order to make students teach the cause of moon phases, we created a multimedia project where groups of students taught other students and filmed the session. They were to produce a 10-minute final movie highlighting their teaching techniques and showing students in the process of learning the concepts. This "experiment" turned out to be a great success for a few reasons. First, students gained experience explaining conceptually-challenging topics, making them learn the material better. Additionally, they learned to apply learner-centered techniques, most likely learning to teach for the first time. Finally, this project provided the students a connection between the classroom and the rest of the college, making them responsible for applying and sharing their knowledge with their peers.

Ocean waste disposal. A bibliography with abstracts. Search period covered 1964--May 1975

International Nuclear Information System (INIS)

1975-01-01

The majority of the cited topics discuss the ocean disposal of sewage, sewage sludge, and dredged material, although reports on the disposal of radioactive wastes, brines, and industrial wastes are also covered. The ecological effects are included, as is research on the pollution of the New York Bight. However, studies on the discharge of heated effluents is excluded. Contains 164 abstracts. (auth)

Towards the Sigma Online Learning Model for crowdsourced recommendations of good web-based learning resources

OpenAIRE

Aaberg, Robin Garen

2016-01-01

The web based learning resources is believed to be playing an active role in the learning environment of higher education today. This qualitative study is exploring how students at Bergen University College incorporate web-based learning resources in their learning activities. At the core of this research is the problem of retrieving good web-resources after their first discovery. Usefull and knowledge granting web-resources are discovered within a context of topics, objectives. It is here ar...

Editorial: Advanced learning technologies

Directory of Open Access Journals (Sweden)

Yu-Ju Lan

2012-03-01

Full Text Available Recent rapid development of advanced information technology brings high expectations of its potential to improvement and innovations in learning. This special issue is devoted to using some of the emerging technologies issues related to the topic of education and knowledge sharing, involving several cutting edge research outcomes from recent advancement of learning technologies. Advanced learning technologies are the composition of various related technologies and concepts such as mobile technologies and social media towards learner centered learning. This editorial note provides an overview of relevant issues discussed in this special issue.

Learning from WebQuests

Science.gov (United States)

Gaskill, Martonia; McNulty, Anastasia; Brooks, David W.

2006-04-01

WebQuests are activities in which students use Web resources to learn about school topics. WebQuests are advocated as constructivist activities and ones generally well regarded by students. Two experiments were conducted in school settings to compare learning using WebQuests versus conventional instruction. Students and teachers both enjoyed WebQuest instruction and spoke highly of it. In one experiment, however, conventional instruction led to significantly greater student learning. In the other, there were no significant differences in the learning outcomes between conventional versus WebQuest-based instruction.

Impact on learning of an e-learning module on leukaemia: a randomised controlled trial.

Science.gov (United States)

Morgulis, Yuri; Kumar, Rakesh K; Lindeman, Robert; Velan, Gary M

2012-05-28

e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group's evaluation of the module was overwhelmingly positive. A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines.

Implementation of Active Teaching Methods and Emerging Topics in Photogrammetry and Remote Sensing Subjects

Science.gov (United States)

Kosmatin Fras, M.; Grigillo, D.

2016-06-01

Fast technological developments in photogrammetry and remote sensing areas demand quick and steady changes in the education programme and its realization. The university teachers and assistants are faced with ensuring the learning materials, data and software for practical lessons, as well as project proposals for student's team work and bachelor or master thesis. In this paper the emerging topics that already have a considerable impact in the practice are treated mostly from the educational aspect. These relatively new topics that are considered in this paper are unmanned aerial systems for spatial data collection, terrestrial and aerial laser scanning, mobile mapping systems, and novelties in satellite remote sensing. The focus is given to practical implementation of these topics into the teaching and learning programme of Geodesy and Geoinformation at the University of Ljubljana, Faculty of Civil and Geodetic Engineering, and experiences gained by the authors so far. Together with the technological advances, the teaching approaches must be modernized as well. Classical approaches of teaching, where a lecturer gives lecture ex cathedra and students are only listeners, are not effective enough. The didactics science of teaching has developed and proved in the practice many useful approaches that can better motivate students for more active learning. We can use different methods of team work like pro et contra debate, buzzing groups, press conference, moderated discussion etc. An experimental study on active teaching methods in the class of students of the Master programme of Geodesy and Geoinformation has been made and the results are presented. After using some new teaching methods in the class, the students were asked to answer two types of a questionnaire. First questionnaire was the standard form developed by Noel Entwistle, an educational psychologist who developed the Approaches to Studying Inventory (ASI) for identifying deep and surface approaches to

IMPLEMENTATION OF ACTIVE TEACHING METHODS AND EMERGING TOPICS IN PHOTOGRAMMETRY AND REMOTE SENSING SUBJECTS

Directory of Open Access Journals (Sweden)

M. Kosmatin Fras

2016-06-01

Full Text Available Fast technological developments in photogrammetry and remote sensing areas demand quick and steady changes in the education programme and its realization. The university teachers and assistants are faced with ensuring the learning materials, data and software for practical lessons, as well as project proposals for student’s team work and bachelor or master thesis. In this paper the emerging topics that already have a considerable impact in the practice are treated mostly from the educational aspect. These relatively new topics that are considered in this paper are unmanned aerial systems for spatial data collection, terrestrial and aerial laser scanning, mobile mapping systems, and novelties in satellite remote sensing. The focus is given to practical implementation of these topics into the teaching and learning programme of Geodesy and Geoinformation at the University of Ljubljana, Faculty of Civil and Geodetic Engineering, and experiences gained by the authors so far. Together with the technological advances, the teaching approaches must be modernized as well. Classical approaches of teaching, where a lecturer gives lecture ex cathedra and students are only listeners, are not effective enough. The didactics science of teaching has developed and proved in the practice many useful approaches that can better motivate students for more active learning. We can use different methods of team work like pro et contra debate, buzzing groups, press conference, moderated discussion etc. An experimental study on active teaching methods in the class of students of the Master programme of Geodesy and Geoinformation has been made and the results are presented. After using some new teaching methods in the class, the students were asked to answer two types of a questionnaire. First questionnaire was the standard form developed by Noel Entwistle, an educational psychologist who developed the Approaches to Studying Inventory (ASI for identifying deep and

Investigating the Use of Text Messages in Mobile Learning

Science.gov (United States)

Geng, Gretchen

2013-01-01

Nowadays, teaching and learning have been shifted from traditional classrooms to technology-supported learning environment. By offering a convenient, efficient and financially affordable information technology learning environment, mobile learning is a topic that is of considerable interest for education audiences owing to the pervasive nature of…

Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort.

Science.gov (United States)

Lehman, Li-Wei; Long, William; Saeed, Mohammed; Mark, Roger

2014-01-01

Patients in critical care often exhibit complex disease patterns. A fundamental challenge in clinical research is to identify clinical features that may be characteristic of adverse patient outcomes. In this work, we propose a data-driven approach for phenotype discovery of patients in critical care. We used Hierarchical Dirichlet Process (HDP) as a non-parametric topic modeling technique to automatically discover the latent "topic" structure of diseases, symptoms, and findings documented in hospital discharge summaries. We show that the latent topic structure can be used to reveal phenotypic patterns of diseases and symptoms shared across subgroups of a patient cohort, and may contain prognostic value in stratifying patients' post hospital discharge mortality risks. Using discharge summaries of a large patient cohort from the MIMIC II database, we evaluate the clinical utility of the discovered topic structure in identifying patients who are at high risk of mortality within one year post hospital discharge. We demonstrate that the learned topic structure has statistically significant associations with mortality post hospital discharge, and may provide valuable insights in defining new feature sets for predicting patient outcomes.

Advanced topics in control and estimation of state-multiplicative noisy systems

CERN Document Server

Gershon, Eli

2013-01-01

Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems begins with an introduction and extensive literature survey. The text proceeds to cover solutions of measurement-feedback control and state problems and the formulation of the Bounded Real Lemma for both continuous- and discrete-time systems. The continuous-time reduced-order and stochastic-tracking control problems for delayed systems are then treated. Ideas of nonlinear stability are introduced for infinite-horizon systems, again, in both the continuous- and discrete-time cases. The reader is introduced to six practical examples of noisy state-multiplicative control and filtering associated with various fields of control engineering. The book is rounded out by a three-part appendix containing stochastic tools necessary for a proper appreciation of the text: a basic introduction to nonlinear stochastic differential equations and aspects of switched systems and peak to peak  optimal control and filtering. Advanced Topics in Contr...

Cognitive Models for Learning to Control Dynamic Systems

National Research Council Canada - National Science Library

Eberhart, Russ; Hu, Xiaohui; Chen, Yaobin

2008-01-01

Report developed under STTR contract for topic "Cognitive models for learning to control dynamic systems" demonstrated a swarm intelligence learning algorithm and its application in unmanned aerial vehicle (UAV) mission planning...

The idea of culture and its topicality for teaching-learning LE/L2

Directory of Open Access Journals (Sweden)

Edleise Mendes

2015-09-01

Full Text Available In recent decades, many studies and research developed in the field of teaching / learning languages, especially of foreign and second languages, have been dedicated to discuss the importance of culture and intercultural relations as members of the learning process dimensions. This concern has as principle the fact that teaching and learning a language is a much broader and complex than the simple transmission and apprehension of formal structures and rules of use of these structures process. In this article, I propose to revisit the idea of culture to then establish their relationship with language, emphasizing the relevance of this type of reflection for the teaching-learning area LE / L2, especially focusing in Portuguese . Among other things, I want to show that contemporary trends in teaching and language teacher training recognize that approaches to teaching and learning, whatever their theoretical orientations should not isolate the language of life in which we live and culture or cultures as a means to ensure language education quality and consistent with the requirements of the contemporary world.

Effects of team-based learning on fixed prosthodontic education in a Japanese School of Dentistry.

Science.gov (United States)

Takeuchi, Hisahiro; Omoto, Katsuhiro; Okura, Kazuo; Tajima, Toyoko; Suzuki, Yoshitaka; Hosoki, Maki; Koori, Motoharu; Shigemoto, Shuji; Ueda, Mayu; Nishigawa, Keisuke; Rodis, Omar Marianito Maningo; Matsuka, Yoshizo

2015-04-01

The aims of this study were to evaluate the quality of team-based learning (TBL) in prosthodontics education for fourth-year dental students at Tokushima University School of Dentistry and to compare this teaching method with traditional lecture-based delivery. Participants in the study were 36 students (22 males and 14 females) who attended the TBL-style fixed prosthodontics course. Ten 60-minute classes were held. The first three were traditional lecture-style classes and were followed by one class introducing the TBL style. The remaining six classes constituted the TBL-format fixed prosthodontics course. The effectiveness of TBL was evaluated through student questionnaires at the end of each class and the results of the term-end examination. The questionnaire revealed high student approval for TBL-style learning, and active group discussion among students during TBL was a key factor in these ratings. In the results of the term-end examination, there were significantly higher scores on the questions that covered TBL-taught material than those covering traditional lecture-taught topics. The results of this study suggest that TBL-style lecture was more effective than traditional-style lecture for teaching fixed prosthodontics and that TBL was a more efficient mode of delivering dental education than traditional lecture-based teaching.

Topical report review status

International Nuclear Information System (INIS)

1982-08-01

A Topical Report Review Status is scheduled to be published semi-annually. The primary purpose of this document is to provide periodic progress reports of on-going topical report reviews, to identify those topical reports for which the Nuclear Regulatory Commission (NRC) staff review has been completed and, to the extent practicable, to provide NRC management with sufficient information regarding the conduct of the topical report program to permit taking whatever actions deemed necessary or appropriate. This document is also intended to be a source of information to NRC Licensing Project Managers and other NRC personnel regarding the status of topical reports which may be referenced in applications for which they have responsibility. This status report is published primarily for internal NRC use in managing the topical report program, but is also used by NRC to advise the industry of report review status

Topical report review status

International Nuclear Information System (INIS)

1983-01-01

A Topical Report Review Status is scheduled to be published semi-annually. The primary purpose of this document is to provide periodic progress reports of on-going topical report reviews, to identify those topical reports for which the Nuclear Regulatory Commission (NRC) staff review has been completed and, to the extent practicable, to provide NRC management with sufficient information regarding the conduct of the topical report program to permit taking whatever actions deemed necessary or appropriate. This document is also intended to be a source of information to NRC Licensing Project Managers and other NRC personnel regarding the status of topical reports which may be referenced in applications for which they have responsibility. This status report is published primarily for internal NRC use in managing the topical report program, but is also used by NRC to advise the industry of report review status

Tree cover and species composition effects on academic performance of primary school students.

Science.gov (United States)

Sivarajah, Sivajanani; Smith, Sandy M; Thomas, Sean C

2018-01-01

Human exposure to green space and vegetation is widely recognized to result in physical and mental health benefits; however, to date, the specific effects of tree cover, diversity, and species composition on student academic performance have not been investigated. We compiled standardized performance scores in Grades 3 and 6 for the collective student body in 387 schools across the Toronto District School Board (TDSB), and examined variation in relation to tree cover, tree diversity, and tree species composition based on comprehensive inventories of trees on school properties combined with aerial-photo-based assessments of tree cover. Analyses accounted for variation due to socioeconomic factors using the learning opportunity index (LOI), a regional composite index of external challenges to learning that incorporates income and other factors, such as students with English as a second language. As expected, LOI had the greatest influence on student academic performance; however, the proportion of tree cover, as distinct from other types of "green space" such as grass, was found to be a significant positive predictor of student performance, accounting for 13% of the variance explained in a statistical model predicting mean student performance assessments. The effects of tree cover and species composition were most pronounced in schools that showed the highest level of external challenges, suggesting the importance of urban forestry investments in these schools.

Digital game based learning: A new method in teaching and learning mathematics

Science.gov (United States)

Hussain, Sayed Yusoff bin Syed; Hoe, Tan Wee; Idris, Muhammad Zaffwan bin

2017-05-01

Digital game-based learning (DGBL) had been regarded as a sound learning strategy in raising pupils' willingness and interest in many disciplines. Normally, video and digital games are used in the teaching and learning mathematics. based on literature, digital games have proven its capability in making pupils motivated and are more likely to contribute to effective learning mathematics. Hence this research aims to construct a DGBL in the teaching of Mathematics for Year 1 pupils. Then, a quasi-experimental study was carried out in a school located in Gua Musang, Kelantan, involving 39 pupils. Specifically, this article tests the effectiveness of the use of DGBL in the teaching of the topic Addition of Less than 100 on pupil's achievement. This research employed a quasi-experiment, Pre and Post Test of Non-equivalent Control Group design. The data were analysed using the Nonparametric test namely the Mann-Whitney U. The research finding shows the use of the DGBL could increase the pupils' achievement in the topic of Addition of Less than 100. In practice, this research indicates that the DBGL can utilized as an alternative reference strategy for Mathematics teacher.

75 FR 26647 - Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution

Science.gov (United States)

2010-05-12

.... FDA-2010-N-0002] Ophthalmic and Topical Dosage Form New Animal Drugs; Ivermectin Topical Solution... are treated with a topical solution of ivermectin. DATES: This rule is effective May 12, 2010. FOR... ANADA 200-340 for PRIVERMECTIN (ivermectin), a topical solution used on cattle to control infestations...

Researching Design, Experience and Practice of Networked Learning

DEFF Research Database (Denmark)

Hodgson, Vivien; de Laat, Maarten; McConnell, David

2014-01-01

and final section draws attention to a growing topic of interest within networked learning: that of networked learning in informal practices. In addition, we provide a reflection on the theories, methods and settings featured in the networked learning research of the chapters. We conclude the introduction...

The Picmonic(®) Learning System: enhancing memory retention of medical sciences, using an audiovisual mnemonic Web-based learning platform.

Science.gov (United States)

Yang, Adeel; Goel, Hersh; Bryan, Matthew; Robertson, Ron; Lim, Jane; Islam, Shehran; Speicher, Mark R

2014-01-01

Medical students are required to retain vast amounts of medical knowledge on the path to becoming physicians. To address this challenge, multimedia Web-based learning resources have been developed to supplement traditional text-based materials. The Picmonic(®) Learning System (PLS; Picmonic, Phoenix, AZ, USA) is a novel multimedia Web-based learning platform that delivers audiovisual mnemonics designed to improve memory retention of medical sciences. A single-center, randomized, subject-blinded, controlled study was conducted to compare the PLS with traditional text-based material for retention of medical science topics. Subjects were randomly assigned to use two different types of study materials covering several diseases. Subjects randomly assigned to the PLS group were given audiovisual mnemonics along with text-based materials, whereas subjects in the control group were given the same text-based materials with key terms highlighted. The primary endpoints were the differences in performance on immediate, 1 week, and 1 month delayed free-recall and paired-matching tests. The secondary endpoints were the difference in performance on a 1 week delayed multiple-choice test and self-reported satisfaction with the study materials. Differences were calculated using unpaired two-tailed t-tests. PLS group subjects demonstrated improvements of 65%, 161%, and 208% compared with control group subjects on free-recall tests conducted immediately, 1 week, and 1 month after study of materials, respectively. The results of performance on paired-matching tests showed an improvement of up to 331% for PLS group subjects. PLS group subjects also performed 55% greater than control group subjects on a 1 week delayed multiple choice test requiring higher-order thinking. The differences in test performance between the PLS group subjects and the control group subjects were statistically significant (P<0.001), and the PLS group subjects reported higher overall satisfaction with the

Social software: E-learning beyond learning management systems

DEFF Research Database (Denmark)

Dalsgaard, Christian

2006-01-01

The article argues that it is necessary to move e-learning beyond learning management systems and engage students in an active use of the web as a resource for their self-governed, problem-based and collaborative activities. The purpose of the article is to discuss the potential of social software...... to move e-learning beyond learning management systems. An approach to use of social software in support of a social constructivist approach to e-learning is presented, and it is argued that learning management systems do not support a social constructivist approach which emphasizes self-governed learning...... activities of students. The article suggests a limitation of the use of learning management systems to cover only administrative issues. Further, it is argued that students' self-governed learning processes are supported by providing students with personal tools and engaging them in different kinds of social...

Women's Health Topics

Science.gov (United States)

... Information by Audience For Women Women's Health Topics Women's Health Topics Share Tweet Linkedin Pin it More sharing options Linkedin Pin it Email Print National Women's Health Week May 13 - 19, 2018 Join us ...

The effects of topic choice in project-based instruction on undergraduate physical science students' interest, ownership, and motivation

Science.gov (United States)

Milner-Bolotin, Marina

2001-07-01

Motivating nonscience majors in science and mathematics studies became one of the most interesting and important challenges in contemporary science and mathematics education. Therefore, designing and studying a learning environment, which enhances students' motivation, is an important task. This experimental study sought to explore the implications of student autonomy in topic choice in a project-based Physical Science Course for nonscience majors' on students' motivational orientation. It also suggested and tested a model explaining motivational outcomes of project-based learning environment through increased student ownership of science projects. A project, How Things Work, was designed and implemented in this study. The focus of the project was application of physical science concepts learned in the classroom to everyday life situations. Participants of the study (N = 59) were students enrolled in three selected sections of a Physical Science Course, designed to fulfill science requirements for nonscience majors. These sections were taught by the same instructor over a period of an entire 16-week semester at a large public research university. The study focused on four main variables: student autonomy in choosing a project topic, their motivational orientation, student ownership of the project, and the interest in the project topic. Achievement Goal Orientation theory became the theoretical framework for the study. Student motivational orientation, defined as mastery or performance goal orientation, was measured by an Achievement Goal Orientation Questionnaire. Student ownership was measured using an original instrument, Ownership Measurement Questionnaire, designed and tested by the researchers. Repeated measures yoked design, ANOVA, ANCOVA, and multivariate regression analysis were implemented in the study. Qualitative analysis was used to complement and verify quantitative results. It has been found that student autonomy in the project choice did not make a

Developments in functional equations and related topics

CERN Document Server

Ciepliński, Krzysztof; Rassias, Themistocles

2017-01-01

This book presents current research on Ulam stability for functional equations and inequalities. Contributions from renowned scientists emphasize fundamental and new results, methods and techniques. Detailed examples are given to theories to further understanding at the graduate level for students in mathematics, physics, and engineering. Key topics covered in this book include: Quasi means Approximate isometries Functional equations in hypergroups Stability of functional equations Fischer-Muszély equation Haar meager sets and Haar null sets Dynamical systems Functional equations in probability theory Stochastic convex ordering Dhombres functional equation Nonstandard analysis and Ulam stability This book is dedicated in memory of Staniłsaw Marcin Ulam, who posed the fundamental problem concerning approximate homomorphisms of groups in 1940; which has provided the stimulus for studies in the stability of functional equations and inequalities.

Using Technology to Support Discussions on Sensitive Topics in the Study of Business Ethics

Science.gov (United States)

Fong, Michelle

2015-01-01

There is a dearth of research into teaching strategies and learning approaches for units involving sensitive topics that can provoke an emotional response in students. In a business ethics unit, attempts to strike a balance between conceptual knowledge and theory and skills training can be challenging because the unit can involve personal,…

Constructing topic models of Internet of Things for information processing.

Science.gov (United States)

Xin, Jie; Cui, Zhiming; Zhang, Shukui; He, Tianxu; Li, Chunhua; Huang, Haojing

2014-01-01

Internet of Things (IoT) is regarded as a remarkable development of the modern information technology. There is abundant digital products data on the IoT, linking with multiple types of objects/entities. Those associated entities carry rich information and usually in the form of query records. Therefore, constructing high quality topic hierarchies that can capture the term distribution of each product record enables us to better understand users' search intent and benefits tasks such as taxonomy construction, recommendation systems, and other communications solutions for the future IoT. In this paper, we propose a novel record entity topic model (RETM) for IoT environment that is associated with a set of entities and records and a Gibbs sampling-based algorithm is proposed to learn the model. We conduct extensive experiments on real-world datasets and compare our approach with existing methods to demonstrate the advantage of our approach.

Constructing Topic Models of Internet of Things for Information Processing

Science.gov (United States)

Xin, Jie; Cui, Zhiming; Zhang, Shukui; He, Tianxu; Li, Chunhua; Huang, Haojing

2014-01-01

Internet of Things (IoT) is regarded as a remarkable development of the modern information technology. There is abundant digital products data on the IoT, linking with multiple types of objects/entities. Those associated entities carry rich information and usually in the form of query records. Therefore, constructing high quality topic hierarchies that can capture the term distribution of each product record enables us to better understand users' search intent and benefits tasks such as taxonomy construction, recommendation systems, and other communications solutions for the future IoT. In this paper, we propose a novel record entity topic model (RETM) for IoT environment that is associated with a set of entities and records and a Gibbs sampling-based algorithm is proposed to learn the model. We conduct extensive experiments on real-world datasets and compare our approach with existing methods to demonstrate the advantage of our approach. PMID:25110737

Topic models: A novel method for modeling couple and family text data

Science.gov (United States)

Atkins, David C.; Rubin, Tim N.; Steyvers, Mark; Doeden, Michelle A.; Baucom, Brian R.; Christensen, Andrew

2012-01-01

Couple and family researchers often collect open-ended linguistic data – either through free response questionnaire items or transcripts of interviews or therapy sessions. Because participant's responses are not forced into a set number of categories, text-based data can be very rich and revealing of psychological processes. At the same time it is highly unstructured and challenging to analyze. Within family psychology analyzing text data typically means applying a coding system, which can quantify text data but also has several limitations, including the time needed for coding, difficulties with inter-rater reliability, and defining a priori what should be coded. The current article presents an alternative method for analyzing text data called topic models (Steyvers & Griffiths, 2006), which has not yet been applied within couple and family psychology. Topic models have similarities with factor analysis and cluster analysis in that topic models identify underlying clusters of words with semantic similarities (i.e., the “topics”). In the present article, a non-technical introduction to topic models is provided, highlighting how these models can be used for text exploration and indexing (e.g., quickly locating text passages that share semantic meaning) and how output from topic models can be used to predict behavioral codes or other types of outcomes. Throughout the article a collection of transcripts from a large couple therapy trial (Christensen et al., 2004) is used as example data to highlight potential applications. Practical resources for learning more about topic models and how to apply them are discussed. PMID:22888778

The effect of learning models and emotional intelligence toward students learning outcomes on reaction rate

Science.gov (United States)

Sutiani, Ani; Silitonga, Mei Y.

2017-08-01

This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.

Towards design guidelines for work related learning arrangements

NARCIS (Netherlands)

J.H. Lappia

2011-01-01

Work related learning is a topic of considerable interest currently and can be broadly seen to be concerned with all forms of training and learning closely related to the daily work of employees. From the angle of higher education work related learning is an important development because parts of

Self-regulated and technology-enhanced learning: a European perspective

NARCIS (Netherlands)

Mooij, Ton; Steffens, Karl; Andrade, Maureen Snow

2014-01-01

Self-regulation of learning, learning to learn, and their potential stimulation by specific Information and Communication Technologies (ICTs), are main topics in European policy. This issue of the ‘European Educational Research Journal’ (EERJ) focuses on research to develop, integrate, and evaluate

Self-regulated and technology-enhanced learning: a European perspective

NARCIS (Netherlands)

Mooij, Ton; Steffens, Karl; Andrade, Maureen Snow

2015-01-01

Self-regulation of learning, learning to learn, and their potential stimulation by specific Information and Communication Technologies (ICTs), are main topics in European policy. This issue of the ‘European Educational Research Journal’ (EERJ) focuses on research to develop, integrate, and evaluate

「中草藥用藥」之主題地圖式數位學習教材建構與應用 The Construction and Application of Chinese Herb Medication Digital Learning Material Using Multi-level Topic Map

Directory of Open Access Journals (Sweden)

Ju-Ling Shih

2006-12-01

Full Text Available 本研究之主要目的在於運用資訊科技來建構數位學習教材，規劃並建議學習之應用方式。我們在「神農e經：中草藥用藥典範數位學習內容開發及實地實驗研究」中開發了多層次的主題地圖數位教材模組，能夠自動擷取各種不同來源的中草藥用藥學習素材，由課程引擎使用自我組織映射（SOM）演算法，自動編製成多層次的主題地圖，有效的將原始資料組織成具有專業意義的學習材料。主題地圖之教材應用具有幾項特點：呈現豐富多元且專業的資料與其知識架構、提供客制化與互動化的學習機制以支援系統化與建構式學習、經由自動演算系統提供簡單易懂的操作機制。因此，學習者得以藉此獲得最即時與正確的中草藥用藥安全知識。This research aims to use information technology to construct digital learning material, and discusses its design and application possibilities. This paper presents the process and result of our research related to the project “Shannon Sutra: Digital Learning Content and Experimental Research on Chinese Herb Medication Safety” granted by National Science Foundation. In this research, we use multi-level topic map digital learning material model to render tremendous original assets, and then embed text-mining techniques in course engine to produce topical learning materials. The autonomous method can process raw data and original document to generate meaningful search results, and thus develop to be well-structured learning material. Self-Organizing Map system helps to demonstrate rich and professional information and knowledge structure; it provides customized and interactive learning dynamic to support both progressive and constructive learning styles; it has autonomous system to afford easy and convenient operation for information search. With topic map system, learners can interact with the dynamic topic map and

Efficient Ways to Learn Weather Radar Polarimetry

Science.gov (United States)

Cao, Qing; Yeary, M. B.; Zhang, Guifu

2012-01-01

The U.S. weather radar network is currently being upgraded with dual-polarization capability. Weather radar polarimetry is an interdisciplinary area of engineering and meteorology. This paper presents efficient ways to learn weather radar polarimetry through several basic and practical topics. These topics include: 1) hydrometeor scattering model…

Topics in the generalized vector dominance model

International Nuclear Information System (INIS)

Chavin, S.

1976-01-01

Two topics are covered in the generalized vector dominance model. In the first topic a model is constructed for dilepton production in hadron-hadron interactions based on the idea of generalized vector-dominance. It is argued that in the high mass region the generalized vector-dominance model and the Drell-Yan parton model are alternative descriptions of the same underlying physics. In the low mass regions the models differ; the vector-dominance approach predicts a greater production of dileptons. It is found that the high mass vector mesons which are the hallmark of the generalized vector-dominance model make little contribution to the large yield of leptons observed in the transverse-momentum range 1 less than p/sub perpendicular/ less than 6 GeV. The recently measured hadronic parameters lead one to believe that detailed fits to the data are possible under the model. The possibility was expected, and illustrated with a simple model the extreme sensitivity of the large-p/sub perpendicular/ lepton yield to the large-transverse-momentum tail of vector-meson production. The second topic is an attempt to explain the mysterious phenomenon of photon shadowing in nuclei utilizing the contribution of the longitudinally polarized photon. It is argued that if the scalar photon anti-shadows, it could compensate for the transverse photon, which is presumed to shadow. It is found in a very simple model that the scalar photon could indeed anti-shadow. The principal feature of the model is a cancellation of amplitudes. The scheme is consistent with scalar photon-nucleon data as well. The idea is tested with two simple GVDM models and finds that the anti-shadowing contribution of the scalar photon is not sufficient to compensate for the contribution of the transverse photon. It is found doubtful that the scalar photon makes a significant contribution to the total photon-nuclear cross section

Machine learning a probabilistic perspective

CERN Document Server

Murphy, Kevin P

2012-01-01

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic method...

Atom probe field ion microscopy and related topics: A bibliography 1993

Energy Technology Data Exchange (ETDEWEB)

Godfrey, R.D.; Miller, M.K.; Russell, K.F.

1994-10-01

This bibliography, covering the period 1993, includes references related to the following topics: atom probe field ion microscopy (APFIM), field emission (FE), and field ion microscopy (FIM). Technique-oriented studies and applications are included. The references contained in this document were compiled from a variety of sources including computer searches and personal lists of publications. To reduce the length of this document, the references have been reduced to the minimum necessary to locate the articles. The references are listed alphabetically by authors, an Addendum of references missed in previous bibliographies is included.

Atom probe field ion microscopy and related topics: A bibliography 1993

International Nuclear Information System (INIS)

Godfrey, R.D.; Miller, M.K.; Russell, K.F.

1994-10-01

This bibliography, covering the period 1993, includes references related to the following topics: atom probe field ion microscopy (APFIM), field emission (FE), and field ion microscopy (FIM). Technique-oriented studies and applications are included. The references contained in this document were compiled from a variety of sources including computer searches and personal lists of publications. To reduce the length of this document, the references have been reduced to the minimum necessary to locate the articles. The references are listed alphabetically by authors, an Addendum of references missed in previous bibliographies is included

Impact on learning of an e-learning module on leukaemia: a randomised controlled trial

Directory of Open Access Journals (Sweden)

Morgulis Yuri

2012-05-01

Full Text Available Abstract Background e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. Methods A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Results Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group’s evaluation of the module was overwhelmingly positive. Conclusions A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines.

Impact on learning of an e-learning module on leukaemia: a randomised controlled trial

Science.gov (United States)

2012-01-01

Background e-learning resources may be beneficial for complex or conceptually difficult topics. Leukaemia is one such topic, yet there are no reports on the efficacy of e-learning for leukaemia. This study compared the learning impact on senior medical students of a purpose-built e-learning module on leukaemia, compared with existing online resources. Methods A randomised controlled trial was performed utilising volunteer senior medical students. Participants were randomly allocated to Study and Control groups. Following a pre-test on leukaemia administered to both groups, the Study group was provided with access to the new e-learning module, while the Control group was directed to existing online resources. A post-test and an evaluation questionnaire were administered to both groups at the end of the trial period. Results Study and Control groups were equivalent in gender distribution, mean academic ability, pre-test performance and time studying leukaemia during the trial. The Study group performed significantly better than the Control group in the post-test, in which the group to which the students had been allocated was the only significant predictor of performance. The Study group’s evaluation of the module was overwhelmingly positive. Conclusions A targeted e-learning module on leukaemia had a significant effect on learning in this cohort, compared with existing online resources. We believe that the interactivity, dialogic feedback and integration with the curriculum offered by the e-learning module contributed to its impact. This has implications for e-learning design in medicine and other disciplines. PMID:22640463

Active Learning Innovations in Knowledge Management Education Generate Higher Quality Learning Outcomes

Directory of Open Access Journals (Sweden)

Arthur Shelley

2014-01-01

Full Text Available Innovations in how a postgraduate course in knowledge management is delivered have generated better learning outcomes and made the course more engaging for learners. Course participant feedback has shown that collaborative active learning is preferred and provides them with richer insights into how knowledge is created and applied to generate innovation and value. The course applies an andragogy approach in which students collaborate in weekly dialogue of their experiences of the content, rather than learn the content itself. The approach combines systems thinking, learning praxis, and active learning to explore the interdependencies between topics and how they impact outcomes in real world situations. This has stimulated students to apply these ideas in their own workplaces.

Child Development: An Active Learning Approach

Science.gov (United States)

Levine, Laura E.; Munsch, Joyce

2010-01-01

Within each chapter of this innovative topical text, the authors engage students by demonstrating the wide range of real-world applications of psychological research connected to child development. In particular, the distinctive Active Learning features incorporated throughout the book foster a dynamic and personal learning process for students.…

Measuring Learning Resistance to Workplace Training

Science.gov (United States)

Taylor, Jonathan E.; Lounsbury, John

2016-01-01

Training Transfer has been a topic bearing considerable mention over the past several decades. This article focuses on the connection between training transfer and learning resistance and presents research findings describing the design, creation, and testing of the Learning Efficiency Inventory (LEI). The LEI was designed to measure learning…

The Service Learning Projects: Stakeholder Benefits and Potential Class Topics

Science.gov (United States)

Rutti, Raina M.; LaBonte, Joanne; Helms, Marilyn Michelle; Hervani, Aref Agahei; Sarkarat, Sy

2016-01-01

Purpose: The purpose of this paper is to summarize the benefits of including a service learning project in college classes and focusses on benefits to all stakeholders, including students, community, and faculty. Design/methodology/approach: Using a snowball approach in academic databases as well as a nominal group technique to poll faculty, key…

Comparing problem-based learning students to students in a lecture-based curriculum: learning strategies and the relation with self-study time

OpenAIRE

Wijnen, Marit; Loyens, Sofie; Smeets, Guus; Kroeze, Maarten; Molen, Henk

2017-01-01

textabstractIn educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one’s own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment. Problem-based learning (PBL), a student-centered educational method, is believed to stimulate the use of these effective learning strategies. Several aspects of PBL such as discussions of real-life pro...

Improving Student Learning of Calculus Topics via Modified Just-in-Time Teaching Methods

Science.gov (United States)

Natarajan, Rekha; Bennett, Andrew

2014-01-01

Although the use of traditional just-in-time teaching techniques has long been viewed positively by students and instructors in undergraduate calculus courses, past studies in this area have not addressed gains in student achievement with respect to specific calculus topics. This paper investigates the latter by administering modified just-in-time…

Web based Interactive 3D Learning Objects for Learning Management Systems

Directory of Open Access Journals (Sweden)

Stefan Hesse

2012-02-01

Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

Topical Session on the Decommissioning and Dismantling Safety Case

International Nuclear Information System (INIS)

2002-01-01

practices is low, the idea being that it is important to understand differences in approaches. Frances Taylor, Head of Radioactive Waste Management and Decommissioning Strategy Unit, HM Nuclear Installations Inspectorate, Health and Safety Executive, served as Session Chair. Scott Moore, Section Chief of the Special Projects section, U.S. Nuclear Regulatory Commission, served as the Rapporteur for the Topical Session. Presentations during the topical session covered key aspects of the safety case, including: - international requirements and guidance, - environmental impact assessment, - plant configuration and decommissioning and dismantling (D and D) licensing, - accident assessment, - balancing radiological and industrial risk, and - the safety case for safe store and dormancy periods. At the end of each presentation time was allotted for discussion of the paper. Integral to the Topical Session was a facilitated plenary discussion on the topical issues identified above. The Rapporteur briefly reviewed the main points at the end of the topical session. The Topical Session is documented as follows. First a summary of the presentations is given along with the questions that were asked of each speaker; then follow a summary of the plenary discussions and the main points made. The extended abstracts or full papers supporting each presentation are given in Appendix 1. As a follow-on to the Topical Session a Task Group has been constituted in order to propose to the WPDD a more detailed work programme in this area

Lecture capturing assisted teaching and learning experience

Science.gov (United States)

Chen, Li

2015-03-01

When it comes to learning, a deep understanding of the material and a broadband of knowledge are equally important. However, provided limited amount of semester time, instructors often find themselves struggling to reach both aspects at the same time and are often forced to make a choice between the two. On one hand, we would like to spend much time to train our students, with demonstrations, step by step guidance and practice, to develop strong critical thinking skills and problem-solving skills. On the other hand, we also would like to cover a wide range of content topics to broaden our students' understanding. In this presentation, we propose a working scheme that may assist to achieve these two goals at the same time without sacrificing either one. With the help of recorded and pre-recorded lectures and other class materials, it allows instructors to spend more class time to focus on developing critical thinking skills and problem-solving skills, and to apply and connect principle knowledge with real life phenomena. It also allows our students to digest the material at a pace they are comfortable with by watching the recorded lectures over and over. Students now have something as a backup to refer to when they have random mistakes and/or missing spots on their notes, and hence take more ownership of their learning. Advanced technology have offered flexibility of how/when the content can be delivered, and have been assisting towards better teaching and learning strategies.

Learning about energy

International Nuclear Information System (INIS)

Anon.

1986-01-01

This book provides a technological but mostly non-mathematical approach to learning about energy, with material ranging from basic technical and scientific information, to discussions of important recent events, trends, and policy implications. Major topics include: energy in its social and economic context, conservation: technical and institutional topics, resources and reserves of fossil fuels, coal and its derivatives, nuclear power: technology, safety, wastes, societ complications and controlled fusion, solar power: photo voltaics, wind, boimass and other modes, and increasing global electrification: energy storage and power system integration

Special Attachments. Module 19.

Science.gov (United States)

South Carolina State Dept. of Education, Columbia. Office of Vocational Education.

This module on special attachments, one in a series dealing with industrial sewing machines, their attachments, and operation, covers four topics: gauges; cording attachment; zipper foot; and hemming, shirring, and binding. For each topic these components are provided: an introduction, directions, an objective, learning activities, student…

Developing an English Mobile Learning Attitude Scale for Adult Learners

Science.gov (United States)

Liu, Tzu-Ying

2017-01-01

In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…

Towards Non-prescriptive Issues: a Teaching Framework for Selecting Marketing Dissertation Topics

OpenAIRE

Horan, Conor

2006-01-01

There is a significant absence in academic literature, textbooks and practical teaching tools for advising or guiding student learning, in a practical non-prescriptive manner, toward topic selection and development. Prescriptive or rational approaches, taken by many research methods textbooks, are not adequate or sufficient when teaching this important first stage in the research process. Non-prescriptive approaches describing manageable steps should be researched more to fill this pedagogic ...

A survey-based analysis of life-long learning patterns of young entrepreneurs

Directory of Open Access Journals (Sweden)

Rînciog Johana

2017-07-01

Full Text Available Our approach, in this paper, is focused on life-long learning tools that are available for young Romanian entrepreneurs, in their early career stages. Life-long learning in the case of entrepreneurs is not a topic widely covered in scientific literature up to this moment. Most of the scientific papers related to entrepreneurship focus on the idea of innovation and creativity that characterizes entrepreneurship. On the other side, the scientific literature that considers life-long learning, discusses the case of employees or managers, who are required to improve their knowledge and skills in order to perform at the work place. For the current paper, it was aimed to survey the lifelong learning tools available to young Romanian people and to evaluate their efficiency with the help of interviews with young entrepreneurs on their educational path. Otherwise stated, we intended to provide more insights on the learning methods and practices of entrepreneurs, and to establish whether the current formal education represents a strong basis for entrepreneurs’ life-long learning. The research that we performed revealed that young Romanian entrepreneurs practice indeed a lifelong learning based not as much on formal education, as on learning by practicing and networking. Starting from the observations obtained, it was conceived, based on current European best practices and projective discussions with the same young entrepreneurs, a set of life-long learning initiatives that may be promoted in the entrepreneurial community, and we identify the actual steps to be taken by life-long learning education providers in order to implement these initiatives. This paper’s conclusions serve as both a state of the art analysis, in a field which is vital for entrepreneurs surviving in competitive environments, and as a prospective guide for improving the present market of life-long learning programs.

First-Generation College Student Dissertation Abstracts: Research Strategies, Topical Analysis, and Lessons Learned

Science.gov (United States)

Banning, James H.

2014-01-01

First-generation college students are students whose parents or guardians did not obtain a four year college degree (Davis, 2012). As a group these students make up a large part of the college student population and are often reported to encounter difficulties in their campus experience. While the topic of first-generation student has received…

Topic Visualization and Survival Analysis

OpenAIRE

Wang, Ping Jr

2017-01-01

Latent semantic structure in a text collection is called a topic. In this thesis, we aim to visualize topics in the scientific literature and detect active or inactive research areas based on their lifetime. Topics were extracted from over 1 million abstracts from the arXiv.org database using Latent Dirichlet Allocation (LDA). Hellinger distance measures similarity between two topics. Topics are determined to be relevant if their pairwise distances are smaller than the threshold of Hellinger ...

Participation in adult learning

DEFF Research Database (Denmark)

Desjardins, Richard

2010-01-01

This entry presents an internationally comparative overview of adult learning patterns. Emphasis is placed on who is participating in adult learning and the observed unequal chances to participate. The entry covers three overarching questions that are central to participation research: a) What...

Effects of Reading Ability, Prior Knowledge, Topic Interest, and Locus of Control on At-Risk College Students' Use of Graphic Organizers and Summarizing.

Science.gov (United States)

Balajthy, Ernest; Weisberg, Renee

A study investigated the influence of key factors (general comprehension ability, prior knowledge of passage topic, interest in passage topic, and locus of control) on training at-risk college students in the use of graphic organizers as a cognitive learning strategy. Subjects, 60 college freshmen required to take a developmental reading/study…

Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

Science.gov (United States)

Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

2016-01-01

Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

Learning in the Digital Age: Control or Connection?

Science.gov (United States)

Van Galen, Jane

2013-01-01

In October 2011, 200 state school officers and legislators gathered at a hotel in San Francisco to learn how to "revolutionize" learning by "personalizing" instruction. The occasion was former Florida Gov. Jeb Bush's second annual National Summit on Education Reform. The topic was digital learning. The vision of digitally managed curriculum and…

Machine learning methods for planning

CERN Document Server

Minton, Steven

1993-01-01

Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning.Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credi

Knowledge Sharing Practice in a Play-Like Learning Environment

DEFF Research Database (Denmark)

Benjaminsen, Nana

2007-01-01

The topic of this paper is play-like learning as it occurs when technology based learning environments is invited into the classroom. Observations of 5th grade classes playing with Lego Robolab, is used to illustrate that different ways of learning becomes visible when digital technology...

GeneTopics - interpretation of gene sets via literature-driven topic models

Science.gov (United States)

2013-01-01

Background Annotation of a set of genes is often accomplished through comparison to a library of labelled gene sets such as biological processes or canonical pathways. However, this approach might fail if the employed libraries are not up to date with the latest research, don't capture relevant biological themes or are curated at a different level of granularity than is required to appropriately analyze the input gene set. At the same time, the vast biomedical literature offers an unstructured repository of the latest research findings that can be tapped to provide thematic sub-groupings for any input gene set. Methods Our proposed method relies on a gene-specific text corpus and extracts commonalities between documents in an unsupervised manner using a topic model approach. We automatically determine the number of topics summarizing the corpus and calculate a gene relevancy score for each topic allowing us to eliminate non-specific topics. As a result we obtain a set of literature topics in which each topic is associated with a subset of the input genes providing directly interpretable keywords and corresponding documents for literature research. Results We validate our method based on labelled gene sets from the KEGG metabolic pathway collection and the genetic association database (GAD) and show that the approach is able to detect topics consistent with the labelled annotation. Furthermore, we discuss the results on three different types of experimentally derived gene sets, (1) differentially expressed genes from a cardiac hypertrophy experiment in mice, (2) altered transcript abundance in human pancreatic beta cells, and (3) genes implicated by GWA studies to be associated with metabolite levels in a healthy population. In all three cases, we are able to replicate findings from the original papers in a quick and semi-automated manner. Conclusions Our approach provides a novel way of automatically generating meaningful annotations for gene sets that are directly

Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data

Science.gov (United States)

Gibril, Mohamed Barakat A.; Idrees, Mohammed Oludare; Yao, Kouame; Shafri, Helmi Zulhaidi Mohd

2018-01-01

The growing use of optimization for geographic object-based image analysis and the possibility to derive a wide range of information about the image in textual form makes machine learning (data mining) a versatile tool for information extraction from multiple data sources. This paper presents application of data mining for land-cover classification by fusing SPOT-6, RADARSAT-2, and derived dataset. First, the images and other derived indices (normalized difference vegetation index, normalized difference water index, and soil adjusted vegetation index) were combined and subjected to segmentation process with optimal segmentation parameters obtained using combination of spatial and Taguchi statistical optimization. The image objects, which carry all the attributes of the input datasets, were extracted and related to the target land-cover classes through data mining algorithms (decision tree) for classification. To evaluate the performance, the result was compared with two nonparametric classifiers: support vector machine (SVM) and random forest (RF). Furthermore, the decision tree classification result was evaluated against six unoptimized trials segmented using arbitrary parameter combinations. The result shows that the optimized process produces better land-use land-cover classification with overall classification accuracy of 91.79%, 87.25%, and 88.69% for SVM and RF, respectively, while the results of the six unoptimized classifications yield overall accuracy between 84.44% and 88.08%. Higher accuracy of the optimized data mining classification approach compared to the unoptimized results indicates that the optimization process has significant impact on the classification quality.

47{sup th} Annual meeting on nuclear technology (AMNT 2016). Key Topics / Enhanced safety and operation excellence

Energy Technology Data Exchange (ETDEWEB)

Bohnstedt, Angelika [Karlsruher Institut fuer Technologie (KIT), Eggenstein-Leopoldshafen (Germany). Programm Nukleare Entsorgung, Sicherheit und Strahlenforschung (NUSAFE); Baumann, Erik [AREVA GmbH, Erlangen (Germany). Radiation Protection

2016-12-15

Summary report on the Key Topic 'Enhanced Safety and Operation Excellence' Focus Session 'Radiation Protection' of the 47{sup th} Annual Meeting on Nuclear Technology (AMNT 2016) held in Hamburg, 10 to 12 May 2016. Other Sessions of AMNT 2016 have been and will be covered in further issues of atw.

Topics in Banach space theory

CERN Document Server

Albiac, Fernando

2016-01-01

This text provides the reader with the necessary technical tools and background to reach the frontiers of research without the introduction of too many extraneous concepts. Detailed and accessible proofs are included, as are a variety of exercises and problems. The two new chapters in this second edition are devoted to two topics of much current interest amongst functional analysts: Greedy approximation with respect to bases in Banach spaces and nonlinear geometry of Banach spaces. This new material is intended to present these two directions of research for their intrinsic importance within Banach space theory, and to motivate graduate students interested in learning more about them. This textbook assumes only a basic knowledge of functional analysis, giving the reader a self-contained overview of the ideas and techniques in the development of modern Banach space theory. Special emphasis is placed on the study of the classical Lebesgue spaces Lp (and their sequence space analogues) and spaces of continuous f...

Adolescents with specific learning disabilities - perceptions of specific learning disabilities in the environment of secondary schools

OpenAIRE

Pospíšilová, Zuzana

2012-01-01

The thesis focuses on adolescents with specific learning disabilities in the milieu of secondary schools. It is divided into a theoretical part and an empirical part. The first part introduces a topic of specific learning disabilities in the developmental stage of adolescence. It first describes the most relevant aspects of adolescent development. The attention is then paid to typical manifestations of specific learning disabilities in adolescence, and also to secondary symptoms usually conne...

Learning Materials Recommendation Using Good Learners' Ratings and Content-Based Filtering

Science.gov (United States)

Ghauth, Khairil Imran; Abdullah, Nor Aniza

2010-01-01

The enormity of the amount of learning materials in e-learning has led to the difficulty of locating suitable learning materials for a particular learning topic, creating the need for recommendation tools within a learning context. In this paper, we aim to address this need by proposing a novel e-learning recommender system framework that is based…

Experiences with E-learning in Ophthalmology

Directory of Open Access Journals (Sweden)

Seema Dutt Bandhu

2014-01-01

Full Text Available Introduction: E-learning is the use of internet for the purpose of education. E-learning in medical education is at a nascent stage in our country. The present study was carried out with the purpose of introducing e-learning to third year medical students in the subject of Ophthalmology and taking feedback on their attitude towards the new methodology of teaching and evaluating. Materials and Methods: E-learning was introduced to the seventh semester students of MBBS in the subject of Ophthalmology. The topics were converted to web friendly format and used for teaching and evaluating. Feedback was taken from the students on completion of the term on their attitudes towards e-learning and their views on the scope of e-learning in medical education. Results: All the students agreed on the usefulness of e-learning in medical education. Eleven students (27.5% found the medium of e-learning to be interesting, 15 (37.5% considered it to be easy and accessible, 10 (25% found it to be fast and easy, 4 (10% considered it to be a medium which can give updated information. Twenty-three (57.5% students considered that e-learning should be a medium of instruction in all the subjects, 15 (37.5% students considered its usefulness in clinical subjects only. Twenty-eight students (70% desired that e-learning should be used to provide important notes, questions, MCQs on all topics. Conclusions: E-learning is well accepted as a medium of instruction by medical students.

Interest, Inferences, and Learning from Texts

Science.gov (United States)

Clinton, Virginia; van den Broek, Paul

2012-01-01

Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In…

Connecting Learning Spaces Using Mobile Technology

Science.gov (United States)

Chen, Wenli; Seow, Peter; So, Hyo-Jeong; Toh, Yancy; Looi, Chee-Kit

2010-01-01

The use of mobile technology can help extend children's learning spaces and enrich the learning experiences in their everyday lives where they move from one context to another, switching locations, social groups, technologies, and topics. When students have ubiquitous access to mobile devices with full connectivity, the in-situ use of the mobile…

Beyond Concern: K-12 Faculty and Staff's Perspectives on Privacy Topics and Cybersafety

Science.gov (United States)

Hipsky, Shellie; Younes, Wiam

2015-01-01

In a time when discussions about information privacy dominate the media, research on Cybersafety education reveals that K-12 teachers and staff are concerned about information privacy in schools and they seek to learn more about the protection of their students' and own personal information online. Privacy topics are typically introduced to the…

Special Operation. Module 20.

Science.gov (United States)

South Carolina State Dept. of Education, Columbia. Office of Vocational Education.

This module on special operations, one in a series dealing with industrial sewing machines, their attachments, and operation, covers two topics: topstitching and mitering. For each topic these components are provided: an introduction, directions, an objective, learning activities, student information, a student self-check, and a check-out…

Results of the 2010 IGSC Topical Session on Optimisation

International Nuclear Information System (INIS)

Bailey, Lucy

2014-01-01

Document available in abstract form only. Full text follows: The 2010 IGSC topical session on optimisation explored a wide range of issues concerning optimisation throughout the radioactive waste management process. Philosophical and ethical questions were discussed, such as: - To what extent is the process of optimisation more important than the end result? - How do we balance long-term environmental safety with near-term operational safety? - For how long should options be kept open? - In balancing safety and excessive cost, when is BAT achieved and who decides on this? * How should we balance the needs of current society with those of future generations? It was clear that optimisation is about getting the right balance between a range of issues that cover: radiation protection, environmental protection, operational safety, operational requirements, social expectations and cost. The optimisation process will also need to respect various constraints, which are likely to include: regulatory requirements, site restrictions, community-imposed requirements or restrictions and resource constraints. These issues were explored through a number of presentations that discussed practical cases of optimisation occurring at different stages of international radioactive waste management programmes. These covered: - Operations and decommissioning - management of large disused components, from the findings of an international study, presented by WPDD; - Concept option selection, prior to site selection - upstream and disposal system optioneering in the UK; - Siting decisions - examples from both Germany and France, explaining how optimisation is being used to support site comparisons and communicate siting decisions; - Repository design decisions - comparison of KBS-3 horizontal and vertical deposition options in Finland; and - On-going optimisation during repository operation - operational experience from WIPP in the US. The variety of the remarks and views expressed during the

Web-based Collaborative learning in secondary education: Teachers’ reflection

Directory of Open Access Journals (Sweden)

Hsi-Chi Hsiao

2010-06-01

Full Text Available This article is based on the researchers’ reflections after twice participating in a Web-based Collaborative Learning Program Contest. The contests were held by Asia-Pacific Economic Cooperation (APEC Cyber Academy (ACA. In collaborative learning, teachers are expected to provide participants with scaffolding assistance. The ACA is designed to provide student-centered activities for enhancing skills in information and communication technologies. Students are expected to find data, prepare presentations, and report their topics in English to communicate with other teams from other countries. During these processes, the researcher tried to apply theoretical models such as computerized instruction and topic based learning. The results of this study show the various benefits of Web-based Collaborative Learning for students and teachers. This study also includes several recommendations for primary and secondary schools.

Active Learning and Teaching: Improving Postsecondary Library Instruction.

Science.gov (United States)

Allen, Eileen E.

1995-01-01

Discusses ways to improve postsecondary library instruction based on theories of active learning. Topics include a historical background of active learning; student achievement and attitudes; cognitive development; risks; active teaching; and instructional techniques, including modified lectures, brainstorming, small group work, cooperative…

Sustainability Matters for Undergraduate Teaching and Learning

Science.gov (United States)

Fry, Catherine L.; Wei, Cynthia A.

2015-01-01

A growing body of evidence shows that infusing sustainability into undergraduate courses and programs can simultaneously benefit institutional goals, student learning outcomes, and society at large. In addition to being a globally relevant and urgent topic, sustainability can enhance learning of disciplinary concepts and development of broad…

A Tool for Creating Regionally Calibrated High-Resolution Land Cover Data Sets for the West African Sahel: Using Machine Learning to Scale Up Hand-Classified Maps in a Data-Sparse Environment

Science.gov (United States)

Van Gordon, M.; Van Gordon, S.; Min, A.; Sullivan, J.; Weiner, Z.; Tappan, G. G.

2017-12-01

Using support vector machine (SVM) learning and high-accuracy hand-classified maps, we have developed a publicly available land cover classification tool for the West African Sahel. Our classifier produces high-resolution and regionally calibrated land cover maps for the Sahel, representing a significant contribution to the data available for this region. Global land cover products are unreliable for the Sahel, and accurate land cover data for the region are sparse. To address this gap, the U.S. Geological Survey and the Regional Center for Agriculture, Hydrology and Meteorology (AGRHYMET) in Niger produced high-quality land cover maps for the region via hand-classification of Landsat images. This method produces highly accurate maps, but the time and labor required constrain the spatial and temporal resolution of the data products. By using these hand-classified maps alongside SVM techniques, we successfully increase the resolution of the land cover maps by 1-2 orders of magnitude, from 2km-decadal resolution to 30m-annual resolution. These high-resolution regionally calibrated land cover datasets, along with the classifier we developed to produce them, lay the foundation for major advances in studies of land surface processes in the region. These datasets will provide more accurate inputs for food security modeling, hydrologic modeling, analyses of land cover change and climate change adaptation efforts. The land cover classification tool we have developed will be publicly available for use in creating additional West Africa land cover datasets with future remote sensing data and can be adapted for use in other parts of the world.

Experential Learning Approach For Training Pre-Service Teachers In Environmental Science Using Mobile Apps

Science.gov (United States)

Senan, D. C.; Nair, U. S.

2015-12-01

In the context of complex environmental problems facing societies, environmental education is becoming an integral part of curriculum all levels of education, including teacher education. Traditional teaching methodology is often criticized for being reductionist and empirical and thus not optimal for training next generation of students who are expected to formulate solutions to complex, interdisciplinary environmental issues. This study will report on the use of mobile application, based on the Open Data Kit (ODK), along with the Google Earth Engine (GEE) to implement a better approach, namely experiential learning, for teacher education in Kerala, India. The specific topic considered is land use and land cover change due to human activity. The experiential learning approach implemented will involve students using Android mobile application to collect a sample of geo-locations for different land cover types. This data will be used to classify satellite imagery within Google Earth Engine and used to understand how their neighborhoods have changed over the years. Rather than being passive information recipients, the students will develop understanding based on their own analysis of how urban regions grow, crop lands shrink and forests disappear. This study will report on the implementation of experiential learning approach through the use of ODK and GEE, and on the ongoing evaluation of effectiveness of experiential learning approach for environmental education. A Pretest-Posttest study design will be used for evaluation. Change in environmental consciousness, as characterized by a well-designed and validated Environmental Consciousness Scale will be determined for a study group of 300 Pre-service teachers of Kerala, India. The significance between the mean scores of the data collected during pretest and posttest will be analyzed using paired t tests. Qualitative feedback about the Mobile Application through focus group interviews will also collected and analyzed.

Connecting Music, Art, and Science for Increased Creativity and Topic Engagement ?

OpenAIRE

McNealy, Tamara L.

2013-01-01

‘Attention spans have shortened,’ is a common phrase often used in reference to today’s college students. As faculty and instructors, we need to address this issue through the utilization of innovative and creative techniques that aid in making our subjects accessible to our students. Connecting a serious topic such as microbiology with a ‘fun’ activity can increase student engagement and learning. Ideas to maintain student attention on a subject include providing information in 15- to 20-min...

Interactive radiological anatomy eLearning solution for first year medical students: Development, integration, and impact on learning.

Science.gov (United States)

Webb, Alexandra Louise; Choi, Sunhea

2014-01-01

A technology enhanced learning and teaching (TELT) solution, radiological anatomy (RA) eLearning, composed of a range of identification-based and guided learning activities related to normal and pathological X-ray images, was devised for the Year 1 nervous and locomotor course at the Faculty of Medicine, University of Southampton. Its effectiveness was evaluated using a questionnaire, pre- and post-tests, focus groups, summative assessment, and tracking data. Since introduced in 2009, a total of 781 students have used RA eLearning, and among them 167 Year 1 students in 2011, of whom 116 participated in the evaluation study. Students enjoyed learning (77%) with RA eLearning, found it was easy to use (81%) and actively engaged them in their learning (75%), all of which were associated to the usability, learning design of the TELT solution and its integration in the curriculum; 80% of students reported RA eLearning helped their revision of anatomy and 69% stated that it facilitated their application of anatomy in a clinical context, both of which were associated with the benefits offered by the learning and activities design. At the end of course summative assessment, student knowledge of RA eLearning relevant topics (mean 80%; SD ±16) was significantly better as compared to topics not relevant to RA eLearning (mean 63%; SD ±15) (mean difference 18%; 95% CI 15% to 20%; P < 0.001). A well designed and integrated TELT solution can be an efficient method for facilitating the application, integration, and contextualization of anatomy and radiology to create a blended learning environment. © 2013 American Association of Anatomists.

Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining

Directory of Open Access Journals (Sweden)

Xiao Xu

2017-01-01

Full Text Available Clinical pathways are widely used around the world for providing quality medical treatment and controlling healthcare cost. However, the expert-designed clinical pathways can hardly deal with the variances among hospitals and patients. It calls for more dynamic and adaptive process, which is derived from various clinical data. Topic-based clinical pathway mining is an effective approach to discover a concise process model. Through this approach, the latent topics found by latent Dirichlet allocation (LDA represent the clinical goals. And process mining methods are used to extract the temporal relations between these topics. However, the topic quality is usually not desirable due to the low performance of the LDA in clinical data. In this paper, we incorporate topic assignment constraint and topic correlation limitation into the LDA to enhance the ability of discovering high-quality topics. Two real-world datasets are used to evaluate the proposed method. The results show that the topics discovered by our method are with higher coherence, informativeness, and coverage than the original LDA. These quality topics are suitable to represent the clinical goals. Also, we illustrate that our method is effective in generating a comprehensive topic-based clinical pathway model.

Through the Open Door--Today's Revolution in Open Access and Distance Learning.

Science.gov (United States)

Bennett, Roger, Ed.

1986-01-01

Consists of eight articles discussing the topic of open learning. Articles address (1) definitions, (2) corporate training, (3) further education programs, (4) university-based training, (5) distance learning, (6) learning to learn, (7) Britain's Open University, (8) the Business-Technical Education Council. (CH)

Learned Helplessness and the Elementary Student: Implications for Counselors.

Science.gov (United States)

Greer, John G.; Wethered, Chris E.

1987-01-01

Explores the topic of learned helplessness in children. Discusses these counselor strategies for helping children with learned helplessness: develop realistic attributions, provide feedback, provide success experiences, provide microcomputer experiences, and set realistic goals and expectations. (ABL)

Comparison of lecture and team-based learning in medical ethics education.

Science.gov (United States)

Ozgonul, Levent; Alimoglu, Mustafa Kemal

2017-01-01

Medical education literature suggests that ethics education should be learner-centered and problem-based rather than theory-based. Team-based learning is an appropriate method for this suggestion. However, its effectiveness was not investigated enough in medical ethics education. Is team-based learning effective in medical ethics education in terms of knowledge retention, in-class learner engagement, and learner reactions? This was a prospective controlled follow-up study. We changed lecture with team-based learning method to teach four topics in a 2-week medical ethics clerkship, while the remaining topics were taught by lectures. For comparison, we formed team-based learning and lecture groups, in which the students and instructor are the same, but the topics and teaching methodologies are different. We determined in-class learner engagement by direct observation and student satisfaction by feedback forms. Student success for team-based learning and lecture topics in the end-of-clerkship exam and two retention tests performed 1 year and 2 years later were compared. Ethical considerations: Ethical approval for the study was granted by Akdeniz University Board of Ethics on Noninvasive Clinical Human Studies Ethics committee. Short-term knowledge retention did not differ; however, team-based learning was found superior to lecture at long-term retention tests. Student satisfaction was high with team-based learning and in-class engagement was better in team-based learning sessions. Our results on learner engagement and satisfaction with team-based learning were similar to those of previous reports. However, knowledge retention results in our study were contrary to literature. The reason might be the fact that students prepared for the end-of-clerkship pass/fail exam (short term) regardless of the teaching method. But, at long-term retention tests, they did not prepare for the exam and answered the questions just using the knowledge retained in their memories. Our

Inquiry-based learning to improve student engagement in a large first year topic

Directory of Open Access Journals (Sweden)

Masha Smallhorn

2015-08-01

Full Text Available Increasing the opportunity for students to be involved in inquiry-based activities can improve engagement with content and assist in the development of analysis and critical thinking skills. The science laboratory has traditionally been used as a platform to apply the content gained through the lecture series. These activities have exposed students to experiments which test the concepts taught but which often result in a predicted outcome. To improve the engagement and learning outcomes of our large first year biology cohort, the laboratories were redeveloped. Superlabs were run with 100 students attending weekly sessions increasing the amount of contact time from previous years. Laboratories were redeveloped into guided-inquiry and educators facilitated teams of students to design and carry out an experiment. To analyse the impact of the redevelopment on student satisfaction and learning outcomes, students were surveyed and multiple choice exam data was compared before and after the redevelopment. Results suggest high levels of student satisfaction and a significant improvement in student learning outcomes. All disciplines should consider including inquiry-based activities as a methodology to improve student engagement and learning outcome as it fosters the development of independent learners. 

Health Topic XML File Description

Science.gov (United States)

... this page: https://medlineplus.gov/xmldescription.html Health Topic XML File Description: MedlinePlus To use the sharing ... information categories assigned. Example of a Full Health Topic Record A record for a MedlinePlus health topic ...

Summary record of the topical session of 16. Meeting of the IGSC

International Nuclear Information System (INIS)

Van Luik, Abe; Smith, Paul

2014-01-01

The sixteenth meeting of the Integration Group for the Safety case (IGSC) included a topical session titled: Handling extreme geological events in safety cases during the post-closure phase. The session included nine presentations on the handling of such events by various national programs, questions and answers on each presentation and ended with a general discussion period. The present document summarises the outcome of the meeting. The document is structured as follows: - Section 2 describes the types of extreme geological events discussed in the session and how these are identified, - Section 3 discusses the measures that can be taken to avoid such events and to mitigate their impact on repositories, - Section 4 describes how the likelihood and consequences of events are assessed, - Section 5 address experiences regarding interactions with regulators and other stakeholders, - Section 6 covers remaining issues and planned R and D to address these, and - Section 7 presents a recommendation for possible future collaborative work on this topic

Mollweide's Formula in Teaching Trigonometry

Science.gov (United States)

Karjanto, Natanael

2011-01-01

Trigonometry is one of the topics in mathematics that the students in both high school and pre-undergraduate levels need to learn. Generally, the topic covers trigonometric functions, trigonometric equations, trigonometric identities and solving oblique triangles using the Laws of Sines and Cosines. However, when solving the oblique triangles,…

Medical support of children’s sports: Topical problems

Directory of Open Access Journals (Sweden)

L. A. Balykova

2017-01-01

Full Text Available The paper discusses the most topical issues of medical support of children and adolescents engaged in physical exercises and sports. Much attention is paid to different views on the etiology, pathogenesis, diagnosis, and principles of therapy of pathological transformation of the heart in child athletes. The problem of sudden cardiac death in sports and the possibility of a relationship between connective tissue dysplasia and its development are touched upon. Electrocardiographic and morphological criteria for cardiac maladaptation in athletes are discussed. The problem of early and accessible diagnosis and Russia’s tactics for the diagnosis of health changes in athletes and approaches to their prevention and treatment are covered. Different ways to prevent the pathological transformation of the cardiovascular system in athletes and sudden cardiac death as its extreme manifestation are discussed.

Commentary: On regulation and medical education: sociology, learning, and accountability.

Science.gov (United States)

Durning, Steven J; Artino, Anthony R; Holmboe, Eric

2009-05-01

The topic of regulation is commonplace in society, yet it seems to receive little explicit consideration in discussions on undergraduate medical education. The accompanying articles by Hauer and colleagues, White and colleagues, and Bloodgood and colleagues approach the topic of regulation from several different viewpoints. In this commentary, we too approach the topic of regulation from several different viewpoints: sociology, learning (self-regulated learning), and accountability. In this commentary, we present both theoretical and practical issues with the aim of initiating an open, scholarly discussion in the field of medical education. Ultimately, we hope other medical educators will seriously contemplate the questions raised and, more importantly, will consider employing these theoretical perspectives into future research efforts.

Impact of reading purpose on incidental word learning from context

NARCIS (Netherlands)

Swanborn, MSL; de Glopper, Kees

Children read texts for various reasons. We examined how reading texts for different purposes affected amounts of incidental word learning. Grade 6 students were asked to read texts for fun, to learn about the topic of the text, and for text comprehension. Proportions of words learned incidentally

Effects of cooperative and problem-solving learning strategies on ...

African Journals Online (AJOL)

Learning is internalised faster and better when students are given opportunity to interact with one another in small groups; when topics are structured to solve real life problems, studying becomes fun and learning is facilitated and internalised; students learn better when a problem is used as a starting point for new ...

E-learning. A New Environment for Engagement

DEFF Research Database (Denmark)

Olesen, Mogens; K. Logan, Robert

2012-01-01

scaffold interactive learning and make it more engaging. The article analyzes e-learning, first by defining four aspects that are affected by it, and finally we sketch four levels of e-learning. On the basis of this analysis, we use a case topic (World War 2) to demonstrate how e-learning in practice can...... in their learning methods, i.e. e-learning. There are at least two strong arguments for e-learning: 1) it will help schools staying in tune with the rest of the society. 2) digital media offer opportunities to learn in new, activating ways. We use Andy Clark’s extended mind thesis to argue how technologies can...

Land Cover - Minnesota Land Cover Classification System

Data.gov (United States)

Minnesota Department of Natural Resources — Land cover data set based on the Minnesota Land Cover Classification System (MLCCS) coding scheme. This data was produced using a combination of aerial photograph...

Drugs + HIV, Learn the Link

Medline Plus

Full Text Available ... increases brain viral load and activates natural killer cells in simian immunodeficiency ... out with friends? It’s a topic you can’t ignore. Learn the Link: http://1.usa.gov/ ...

Inverted Classroom by Topic - A Study in Mathematics for Electrical Engineering Students

Directory of Open Access Journals (Sweden)

Isabel Braun

2014-06-01

Full Text Available The inverted classroom is a teaching model, where the students prepare for classroom by watching video lectures. The classroom time is then dedicated to individual practice. We evaluated a mathematics course for electrical engineering students throughout three semesters, where 20% of the topics were taught using the inverted classroom model. The aim was to find out whether the model can help to better address groups with large differences in prior knowledge in mathematics. We report mainly positive feedback from the students, although the opinions vary greatly between the groups. The students appreciate the increased amount of practice in the classroom as well as the possibility to learn at their own pace. Exam performance remained constant in the topics taught using the inverted classroom compared to previous semesters. The exam performance of weaker students also remained constant.

The human heart and the circulatory system as an interesting interdisciplinary topic in lessons of physics and biology

International Nuclear Information System (INIS)

Volná, M; Látal, F; Kubínek, R; Richterek, L

2014-01-01

Many topics which are closely related can be found in the national curriculum of the Czech Republic for physics and biology. One of them is the heart and the circulatory system in the human body. This topic was examined cross curriculum, a teaching module was created and the topic was chosen for our research. The task was to determine if the students of bachelor study are aware of connections between physics and biology within this topic and whether we can help them effectively to describe the corresponding physics phenomena in the human body connected, for example, with a heart attack or with the measurement of blood pressure. In this paper, the heart and the circulatory system are presented as suitable topics for an interdisciplinary teaching module which includes both theoretical and experimental parts. The module was evaluated by a group of first-year undergraduate students of physics at the Faculty of Science, Palacký University. The acquired knowledge was compared with another control group through a test. The highest efficiency of the module was evaluated on the basis of questions that covered the calculation problems. (paper)

Identifying Topics in Microblogs Using Wikipedia.

Science.gov (United States)

Yıldırım, Ahmet; Üsküdarlı, Suzan; Özgür, Arzucan

2016-01-01

Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topics can be utilized in numerous ways, such as public opinion mining, marketing, entertainment, and disaster management. Towards this end, approaches to relate single or partial posts to knowledge base items have been proposed. However, in microblogging systems like Twitter, topics emerge from the culmination of a large number of contributions. Therefore, identifying topics based on collections of posts, where individual posts contribute to some aspect of the greater topic is necessary. Models, such as Latent Dirichlet Allocation (LDA), propose algorithms for relating collections of posts to sets of keywords that represent underlying topics. In these approaches, figuring out what the specific topic(s) the keyword sets represent remains as a separate task. Another issue in topic detection is the scope, which is often limited to specific domain, such as health. This work proposes an approach for identifying domain-independent specific topics related to sets of posts. In this approach, individual posts are processed and then aggregated to identify key tokens, which are then mapped to specific topics. Wikipedia article titles are selected to represent topics, since they are up to date, user-generated, sophisticated articles that span topics of human interest. This paper describes the proposed approach, a prototype implementation, and a case study based on data gathered during the heavily contributed periods corresponding to the four US election debates in 2012. The manually evaluated results (0.96 precision) and other observations from the study are discussed in detail.

Utopia2000: An Online Learning-Object Management Tool.

Science.gov (United States)

Aspillaga, Macarena

2002-01-01

Describes Utopia2002, a database that contains learning objects that enables faculty to design and develop interactive Web-based instruction. Topics include advanced distributed learning; sharable content objects (SCOs) and sharable content object reference model (SCORM); instructional systems design process; templates; and quality assurance. (LRW)

An Elementary Introduction to Statistical Learning Theory

CERN Document Server

Kulkarni, Sanjeev

2011-01-01

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and

A needs analysis for communication by pharmacists in a multilingual ...

African Journals Online (AJOL)

Language learning materials should cover a wide range of professional topics supplemented with a communication module focusing primarily on history taking and ensuring the correct use of medication. Most importantly, learning materials should be to-thepoint and easy to apply, as most practitioners have limited time.

Machine learning an artificial intelligence approach

CERN Document Server

Banerjee, R; Bradshaw, Gary; Carbonell, Jaime Guillermo; Mitchell, Tom Michael; Michalski, Ryszard Spencer

1983-01-01

Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a

Competences, Learning Theories and MOOCs: Recent Developments in Lifelong Learning

Science.gov (United States)

Steffens, Karl

2015-01-01

Our societies have come to be known as knowledge societies in which lifelong learning is becoming increasingly important. In this context, competences have become a much discussed topic. Many documents were published by international organisations (UNESCO, World Bank, European Commission) which enumerated 21st century key competences. The field of…

Learning Biochemistry through Manga--Helping Students Learn and Remember, and Making Lectures More Exciting.

Science.gov (United States)

Nagata, Ryoichi

1999-01-01

Uses panels taken from manga, Japanese comics and cartoons, to supplement explanations of biochemical terms and topics in biochemistry classes. Results indicate that the use of manga helped students remember what they had learned. (Author/CCM)

Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software

OpenAIRE

Chang, Chia-Lin; McAleer, Michael

2017-01-01

textabstractThe paper presents an overview of recent topical research on global, energy, health & medical, and tourism economics, and global software. We have interpreted “global” in the title of the Journal of Reviews on Global Economics to cover contributions that have a global impact on economics, thereby making it “global economics”. In this sense, the paper is concerned with papers on global, energy, health & medical, and tourism economics, as well as global software algorithms that have...

Welding. Student Learning Guide.

Science.gov (United States)

Palm Beach County Board of Public Instruction, West Palm Beach, FL.

This student learning guide contains 30 modules for completing a course in welding. It is designed especially for use in secondary schools in Palm Beach County, Florida. Each module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities keyed to resources, information sheets, student self-check…

The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning.

Science.gov (United States)

Huff, Trevor J; Ludwig, Parker E; Zuniga, Jorge M

2018-05-01

3D-printed anatomical models play an important role in medical and research settings. The recent successes of 3D anatomical models in healthcare have led many institutions to adopt the technology. However, there remain several issues that must be addressed before it can become more wide-spread. Of importance are the problems of cost and time of manufacturing. Machine learning (ML) could be utilized to solve these issues by streamlining the 3D modeling process through rapid medical image segmentation and improved patient selection and image acquisition. The current challenges, potential solutions, and future directions for ML and 3D anatomical modeling in healthcare are discussed. Areas covered: This review covers research articles in the field of machine learning as related to 3D anatomical modeling. Topics discussed include automated image segmentation, cost reduction, and related time constraints. Expert commentary: ML-based segmentation of medical images could potentially improve the process of 3D anatomical modeling. However, until more research is done to validate these technologies in clinical practice, their impact on patient outcomes will remain unknown. We have the necessary computational tools to tackle the problems discussed. The difficulty now lies in our ability to collect sufficient data.

Regulatory Information By Topic

Science.gov (United States)

EPA develops and enforces regulations that span many environmental topics, from acid rain reduction to wetlands restoration. Each topic listed below may include related laws and regulations, compliance enforcement information, policies guidance

Changing University Students' Alternative Conceptions of Optics by Active Learning

Science.gov (United States)

Hadžibegovic, Zalkida; Sliško, Josip

2013-01-01

Active learning is individual and group participation in effective activities such as in-class observing, writing, experimenting, discussion, solving problems, and talking about to-be-learned topics. Some instructors believe that active learning is impossible, or at least extremely difficult to achieve in large lecture sessions. Nevertheless, the…

Identifying Topics in Microblogs Using Wikipedia.

Directory of Open Access Journals (Sweden)

Ahmet Yıldırım

Full Text Available Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topics can be utilized in numerous ways, such as public opinion mining, marketing, entertainment, and disaster management. Towards this end, approaches to relate single or partial posts to knowledge base items have been proposed. However, in microblogging systems like Twitter, topics emerge from the culmination of a large number of contributions. Therefore, identifying topics based on collections of posts, where individual posts contribute to some aspect of the greater topic is necessary. Models, such as Latent Dirichlet Allocation (LDA, propose algorithms for relating collections of posts to sets of keywords that represent underlying topics. In these approaches, figuring out what the specific topic(s the keyword sets represent remains as a separate task. Another issue in topic detection is the scope, which is often limited to specific domain, such as health. This work proposes an approach for identifying domain-independent specific topics related to sets of posts. In this approach, individual posts are processed and then aggregated to identify key tokens, which are then mapped to specific topics. Wikipedia article titles are selected to represent topics, since they are up to date, user-generated, sophisticated articles that span topics of human interest. This paper describes the proposed approach, a prototype implementation, and a case study based on data gathered during the heavily contributed periods corresponding to the four US election debates in 2012. The manually evaluated results (0.96 precision and other observations from the study are discussed in detail.

Learning ActionScript 30

CERN Document Server

Shupe, Rich

2010-01-01

If you're new to ActionScript 3.0, or want to enhance your skill set, this bestselling book is the ideal guide. Designers, developers, and programmers alike will find Learning ActionScript 3.0 invaluable for navigating ActionScript 3.0's learning curve. You'll learn the language by getting a clear look at essential topics such as logic, event handling, displaying content, classes, and much more. Updated for Flash Professional CS5, this revised and expanded edition delivers hands-on exercises and full-color code samples to help you increase your abilities as you progress through the book. Top

Dialogue-Based Activities and Manipulatives to Engage Liberal Arts Majors in Mathematics

Science.gov (United States)

Price, James C.

2015-01-01

This article presents four inquiry-based learning activities developed for a liberal arts math course. The activities cover four topics: the Pythagorean theorem, interest theory, optimization, and the Monty Hall problem. Each activity consists of a dialogue, with a theme and characters related to the topic, and a manipulative, that allow students…

Differential Topic Models.

Science.gov (United States)

Chen, Changyou; Buntine, Wray; Ding, Nan; Xie, Lexing; Du, Lan

2015-02-01

In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling. We present a differential topic model for this application that models both topic differences and similarities. For this we use hierarchical Bayesian nonparametric models. Moreover, we found it was important to properly model power-law phenomena in topic-word distributions and thus we used the full Pitman-Yor process rather than just a Dirichlet process. Furthermore, we propose the transformed Pitman-Yor process (TPYP) to incorporate prior knowledge such as vocabulary variations in different collections into the model. To deal with the non-conjugate issue between model prior and likelihood in the TPYP, we thus propose an efficient sampling algorithm using a data augmentation technique based on the multinomial theorem. Experimental results show the model discovers interesting aspects of different collections. We also show the proposed MCMC based algorithm achieves a dramatically reduced test perplexity compared to some existing topic models. Finally, we show our model outperforms the state-of-the-art for document classification/ideology prediction on a number of text collections.

Machine learning with R cookbook

CERN Document Server

Chiu, Yu-Wei

2015-01-01

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

Using an Active-Learning Approach to Teach Epigenetics

Science.gov (United States)

Colon-Berlingeri, Migdalisel

2010-01-01

Epigenetics involves heritable changes in gene expression that do not involve alterations in the DNA sequence. I developed an active-learning approach to convey this topic to students in a college genetics course. I posted a brief summary of the topic before class to stimulate exchange in cooperative groups. During class, we discussed the…

Ready to learn physics: a team-based learning model for first year university

Science.gov (United States)

Parappilly, Maria; Schmidt, Lisa; De Ritter, Samantha

2015-09-01

Team-based learning (TBL) is an established model of group work which aims to improve students' ability to apply discipline-related content. TBL consists of a readiness assurance process (RAP), student groups and application activities. While TBL has not been implemented widely in science, technology, engineering and mathematics disciplines, it has been effective in improving student learning in other disciplines. This paper describes the incorporation of TBL activities into a non-calculus based introductory level physics topic—Physics for the Modern World. Students were given pre-class preparation materials and an individual RAP online test before the workshops. The pre-workshop individual RAP test ensured that all students were exposed to concept-based questions before their workshops and motivated them to use the preparatory materials in readiness for the workshop. The students were placed into random teams and during the first part of the workshop, the teams went through a subset of the quiz questions (team RAP test) and in the remaining time, teams completed an in-class assignment. After the workshop students were allowed another attempt at the individual RAP test to see if their knowledge had improved. The ability of TBL to promote student learning of key concepts was evaluated by experiment using pre- and post- testing. The students’ perception of TBL was monitored by discussion posts and survey responses. Finally, the ability of TBL to support peer-peer interaction was evaluated by video analysis of the class. We found that the TBL process improved student learning; students did interact with each other in class; and the students had a positive view of TBL. To assess the transferability of this model to other topics, we conducted a comparison study with an environmental science topic which produced similar results. Our study supports the use of this TBL model in science topics.

The Picmonic® Learning System: enhancing memory retention of medical sciences, using an audiovisual mnemonic Web-based learning platform

Directory of Open Access Journals (Sweden)

Yang A

2014-05-01

Full Text Available Adeel Yang,1,* Hersh Goel,1,* Matthew Bryan,2 Ron Robertson,1 Jane Lim,1 Shehran Islam,1 Mark R Speicher2 1College of Medicine, The University of Arizona, Tucson, AZ, USA; 2Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, USA *These authors contributed equally to this work Background: Medical students are required to retain vast amounts of medical knowledge on the path to becoming physicians. To address this challenge, multimedia Web-based learning resources have been developed to supplement traditional text-based materials. The Picmonic® Learning System (PLS; Picmonic, Phoenix, AZ, USA is a novel multimedia Web-based learning platform that delivers audiovisual mnemonics designed to improve memory retention of medical sciences. Methods: A single-center, randomized, subject-blinded, controlled study was conducted to compare the PLS with traditional text-based material for retention of medical science topics. Subjects were randomly assigned to use two different types of study materials covering several diseases. Subjects randomly assigned to the PLS group were given audiovisual mnemonics along with text-based materials, whereas subjects in the control group were given the same text-based materials with key terms highlighted. The primary endpoints were the differences in performance on immediate, 1 week, and 1 month delayed free-recall and paired-matching tests. The secondary endpoints were the difference in performance on a 1 week delayed multiple-choice test and self-reported satisfaction with the study materials. Differences were calculated using unpaired two-tailed t-tests. Results: PLS group subjects demonstrated improvements of 65%, 161%, and 208% compared with control group subjects on free-recall tests conducted immediately, 1 week, and 1 month after study of materials, respectively. The results of performance on paired-matching tests showed an improvement of up to 331% for PLS group subjects. PLS group

Bootcamp EMMA MOOC Assessment for learning in practice

NARCIS (Netherlands)

Firssova, Olga; Brouns, Francis

2016-01-01

At the EDEN Conference an introduction to the EMMA platform will be combined with learning activities relevant to the topic of Formative Assessment. EDEN conference participants will have an opportunity to join the MOOC prior to the conference or at the conference. A range of learning activities

Competencies in Organizational E-Learning: Concepts and Tools

Science.gov (United States)

Sicilia, Miguel-Angel, Ed.

2007-01-01

"Competencies in Organizational E-Learning: Concepts and Tools" provides a comprehensive view of the way competencies can be used to drive organizational e-learning, including the main conceptual elements, competency gap analysis, advanced related computing topics, the application of semantic Web technologies, and the integration of competencies…

Structural Learning Theory: Current Status and New Perspectives.

Science.gov (United States)

Scandura, Joseph M.

2001-01-01

Presents the current status and new perspectives on the Structured Learning Theory (SLT), with special consideration given to how SLT has been influenced by recent research in software engineering. Topics include theoretical constructs; content domains; structural analysis; cognition; assessing behavior potential; and teaching and learning issues,…

Analyses of Research Topics in the Field of Informetrics Based on the Method of Topic Modeling

OpenAIRE

Sung-Chien Lin

2014-01-01

In this study, we used the approach of topic modeling to uncover the possible structure of research topics in the field of Informetrics, to explore the distribution of the topics over years, and to compare the core journals. In order to infer the structure of the topics in the field, the data of the papers published in the Journal of Informetricsand Scientometrics during 2007 to 2013 are retrieved from the database of the Web of Science as input of the approach of topic modeling. The results ...

Analyses of Research Topics in the Field of Informetrics Based on the Method of Topic Modeling

Directory of Open Access Journals (Sweden)

Sung-Chien Lin

2014-07-01

Full Text Available In this study, we used the approach of topic modeling to uncover the possible structure of research topics in the field of Informetrics, to explore the distribution of the topics over years, and to compare the core journals. In order to infer the structure of the topics in the field, the data of the papers published in the Journal of Informetricsand Scientometrics during 2007 to 2013 are retrieved from the database of the Web of Science as input of the approach of topic modeling. The results of this study show that when the number of topics was set to 10, the topic model has the smallest perplexity. Although data scopes and analysis methodsare different to previous studies, the generating topics of this study are consistent with those results produced by analyses of experts. Empirical case studies and measurements of bibliometric indicators were concerned important in every year during the whole analytic period, and the field was increasing stability. Both the two core journals broadly paid more attention to all of the topics in the field of Informetrics. The Journal of Informetricsput particular emphasis on construction and applications ofbibliometric indicators and Scientometrics focused on the evaluation and the factors of productivity of countries, institutions, domains, and journals.

Valuing Errors for Learning: Espouse or Enact?

Science.gov (United States)

Grohnert, Therese; Meuwissen, Roger H. G.; Gijselaers, Wim H.

2017-01-01

Purpose: This study aims to investigate how organisations can discourage covering up and instead encourage learning from errors through a supportive learning from error climate. In explaining professionals' learning from error behaviour, this study distinguishes between espoused (verbally expressed) and enacted (behaviourally expressed) values…

Topical treatments of skin pain: a general review with a focus on hidradenitis suppurativa with topical agents.

Science.gov (United States)

Scheinfeld, Noah

2014-07-15

Hidradenitis Supprurativa (HS) is a painful chronic follicular disease. Few papers have addressed pain control for this debilitating condition. Possible topical agents include tricyclic antidepressants, opioids, anticonvulsants, NSAIDs, NMDA receptor antagonists, local anesthetics and other agents. The first line agents for the topical treatment of the cutaneous pain of HS are diclonefac gel 1% and liposomal xylocaine 4% and 5% cream or 5% ointment. The chief advantage of topical xylocaine is that is quick acting i.e. immediate however with a limited duration of effect 1-2 hours. The use of topical ketamine, which blocks n-methyl-D-aspartate receptors in a non-competitive fashion, might be a useful tool for the treatment of HS pain. Topical doxepin, which available in a 5% commercially preparation (Zonalon®) , makes patients drowsy and is not useful for controlling the pain of HS . Doxepin is available in a 3% or 3.3% concentration (which causes less drowsiness) from compounding pharmacies and can be used in compounded analgesic preparations with positive effect. Topical doxepin is preferred over use of topical amitriptyline because topical doxepin is more effective. Nevertheless, topical amitriptyline increase of the tactile and mechanical nociceptive thresholds and can be used for topical pain control in compound mixture of analgesics . Gabapentin and pregablin can also be used compounded with other agents in topical analgesic preparations with positive topical anesthetic effect. Capsaicin is not useful for topical treatment of the pain of HS. Sometimes compounded of anesthetics medications such as ketamine 10%, bupivacaine 1%, diclofenac 3%, doxepin 3% or 3.3%, and gabapentin 6% can extend the duration of effect so that medication only needs to be used 2 or 3 times a day. Still in my experience the easiest to get and most patient requested agent is topical diclonefac 1% gel.

Emotional Presence in Online Learning Scale: A Scale Development Study