Sample records for learn chemical facts
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Chemical Data Reporting Fact Sheet: Chemicals Snapshot
This fact sheet provides a brief overview of the chemical manufacturing, processing, and use information collected for the 2012 Chemical Data Reporting (CDR) rule. Users do not have access to the complete CDR data set and should draw conclusions with care.
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Chemical Agents: Facts about Evacuation
... What CDC is Doing Blog: Public Health Matters Chemical Agents: Facts About Evacuation Format: Select One PDF [ ... on Facebook Tweet Share Compartir Some kinds of chemical accidents or attacks, such as a train derailment ...
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Contribution of Content Knowledge and Learning Ability to the Learning of Facts.
Kuhara-Kojima, Keiko; Hatano, Giyoo
1991-01-01
In 3 experiments, 1,598 Japanese college students were examined concerning the learning of facts in 2 content domains, baseball and music. Content knowledge facilitated fact learning only in the relevant domain; learning ability facilitated fact learning in both domains. Effects of content knowledge and learning ability were additive. (SLD)
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Chemical Agents: Facts about Sheltering in Place
... What CDC is Doing Blog: Public Health Matters Chemical Agents: Facts About Sheltering in Place Format: Select ... What “sheltering in place” means Some kinds of chemical accidents or attacks may make going outdoors dangerous. ...
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TSCA Chemical Data Reporting Fact Sheet: Imported Articles
This fact sheet provides guidance and sample reporting scenarios on the reporting exemption for the import of a chemical substance as part of an article, for purposes of the Chemical Data Reporting (CDR) rule.
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Digital Learning in California's K-12 Schools. Just the Facts
Gao, Niu
2015-01-01
This fact page briefly discusses the following facts on digital learning in California's K-12: (1) As California implements new tests in its K-12 schools, technology infrastructure is a key concern; (2) Many districts are confident that they had enough bandwidth for online field tests; (3) Digital learning will require significantly greater…
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TSCA Chemical Data Reporting Fact Sheet: Articles
This fact sheet provides guidance on classifying articles under the Toxic Substances Control Act (TSCA) and determining the applicability of EPA’s articles exclusion policy for purposes of the Chemical Data Reporting (CDR) rule. The primary goal of this document is to help the regulated community comply with the requirements of the CDR rule.
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Facts about food irradiation: Chemical changes in irradiated foods
International Nuclear Information System (INIS)
1991-01-01
This fact sheet addresses the safety of irradiated food. The irradiation process produces very little chemical change in food, and laboratory experiments have shown no harmful effects in animals fed with irradiated milk powder. 3 refs
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This fact sheet provides guidance for people who may be subject to the Chemical Data Reporting (CDR) rule on how their requirements for reporting for 2016 may be affected when chemical substances are the subject of certain TSCA actions.
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Directory of Open Access Journals (Sweden)
Jacquelyn F Gamino
2010-12-01
Full Text Available Improving the reasoning skills of adolescents across the United States has become a major concern for educators and scientists who are dedicated to identifying evidence-based protocols to improve student outcome. This small sample randomized, control pilot study sought to determine the efficacy of higher-order cognitive training on gist-reasoning and fact-learning in an inner-city public middle school. The study compared gist-reasoning and fact-learning performances after training in a smaller sample when tested in Spanish, many of the students’ native language, versus English. The 54 eighth grade students who participated in this pilot study were enrolled in an urban middle school, predominantly from lower socio-economic status families, and were primarily of minority descent. The students were randomized into one of three groups, one that learned cognitive strategies promoting abstraction of meaning, a group that learned rote memory strategies, or a control group to ascertain the impact of each program on gist-reasoning and fact-learning from text-based information. We found that the students who had cognitive strategy instruction that entailed abstraction of meaning significantly improved their gist-reasoning and fact-learning ability. The students who learned rote memory strategies significantly improved their fact-learning scores from a text but not gist-reasoning ability. The control group showed no significant change in either gist-reasoning or fact-learning ability. A trend toward significant improvement in overall reading scores for the group that learned to abstract meaning as well as a significant correlation between gist-reasoning ability and the critical thinking on a state-mandated standardized reading test was also found. There were no significant differences between English and Spanish performance of gist reasoning and fact learning. Our findings suggest that teaching higher-order cognitive strategies facilitates gist
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Interstate Research Associates, Inc., Washington, DC.
This fact sheet providing general information about learning disabilities is presented in both English and Spanish versions. It begins with the federal definition of learning disabilities and a discussion of its implications followed by estimates of incidence. Typical characteristics of students with learning disabilities are then summarized as…
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This fact sheet provides guidance on the Chemical Data Reporting (CDR) rule requirements related to the reporting of mined metals, intermediates, and byproducts manufactured during metal mining and related activities.
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Children can learn new facts equally well from interactive media versus face to face instruction
Directory of Open Access Journals (Sweden)
Kristine Kwok
2016-10-01
Full Text Available Today’s children have more opportunities than ever before to learn from interactive technology, yet experimental research assessing the efficacy of children’s learning from interactive media in comparison to traditional learning approaches is still quite scarce. Moreover, little work has examined the efficacy of using touch-screen devices for research purposes. The current study compared children’s rate of learning factual information about animals during a face-to-face instruction from an adult female researcher versus an analogous instruction from an interactive device. Eighty-six children ages 4 through 8 years (64% male completed the learning task in either the Face-to-Face condition (n = 43 or the Interactive Media condition (n = 43. In the Learning Phase of the experiment, which was presented as a game, children were taught novel facts about animals without being told that their memory of the facts would be tested. The facts were taught to the children either by an adult female researcher (Face-to-Face condition or from a pre-recorded female voice represented by a cartoon Llama (Interactive Media condition. In the Testing Phase of the experiment that immediately followed, children’s memory for the taught facts was tested using a 4-option forced-choice paradigm. Children’s rate of learning was significantly above chance in both conditions and a comparison of the rates of learning across the two conditions revealed no significant differences. Learning significantly improved from age 4 to age 8, however, even the preschool-aged children performed significantly above chance, and their performance did not differ between conditions. These results suggest that, interactive media can be equally as effective as one-on-one instruction, at least under certain conditions. Moreover, these results offer support for the validity of using interactive technology to collect data for research purposes. We discuss the implications of these results
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Children Can Learn New Facts Equally Well From Interactive Media Versus Face to Face Instruction.
Kwok, Kristine; Ghrear, Siba; Li, Vivian; Haddock, Taeh; Coleman, Patrick; Birch, Susan A J
2016-01-01
Today's children have more opportunities than ever before to learn from interactive technology, yet experimental research assessing the efficacy of children's learning from interactive media in comparison to traditional learning approaches is still quite scarce. Moreover, little work has examined the efficacy of using touch-screen devices for research purposes. The current study compared children's rate of learning factual information about animals during a face-to-face instruction from an adult female researcher versus an analogous instruction from an interactive device. Eighty-six children ages 4 through 8 years (64% male) completed the learning task in either the Face-to-Face condition ( n = 43) or the Interactive Media condition ( n = 43). In the Learning Phase of the experiment, which was presented as a game, children were taught novel facts about animals without being told that their memory of the facts would be tested. The facts were taught to the children either by an adult female researcher (Face-to-Face condition) or from a pre-recorded female voice represented by a cartoon Llama (Interactive Media condition). In the Testing Phase of the experiment that immediately followed, children's memory for the taught facts was tested using a 4-option forced-choice paradigm. Children's rate of learning was significantly above chance in both conditions and a comparison of the rates of learning across the two conditions revealed no significant differences. Learning significantly improved from age 4 to age 8, however, even the preschool-aged children performed significantly above chance, and their performance did not differ between conditions. These results suggest that, interactive media can be equally as effective as one-on-one instruction, at least under certain conditions. Moreover, these results offer support for the validity of using interactive technology to collect data for research purposes. We discuss the implications of these results for children's learning
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Retrieval Practice, with or without Mind Mapping, Boosts Fact Learning in Primary School Children
Ritchie, Stuart J.; Della Sala, Sergio; McIntosh, Robert D.
2013-01-01
Retrieval practice is a method of study in which testing is incorporated into the learning process. This method is known to facilitate recall for facts in adults and in secondary-school-age children, but existing studies in younger children are somewhat limited in their practical applicability. In two studies of primary school-age children of 8–12 years, we tested retrieval practice along with another study technique, mind mapping, which is more widely-used, but less well-evidenced. Children studied novel geographical facts, with or without retrieval practice and with or without mind mapping, in a crossed-factorial between-subjects design. In Experiment 1, children in the retrieval practice condition recalled significantly more facts four days later. In Experiment 2, this benefit was replicated at one and five weeks in a different, larger sample of schoolchildren. No consistent effects of mind mapping were observed. These results underline the effectiveness of retrieval practice for fact learning in young children. PMID:24265738
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Curry, Steven James
2012-01-01
This quantitative study investigated relationships between higher level mathematics learning and multiplication fact fluency, multiplication fact speed-recall, and reading grade equivalency of eighth grade students in Algebra I and Pre-Algebra. Higher level mathematics learning was indicated by an average score of 80% or higher on first and second…
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Chemical Education Research: Improving Chemistry Learning
Dudley Herron, J.; Nurrenbern, Susan C.
1999-10-01
Chemical education research is the systematic investigation of learning grounded in a theoretical foundation that focuses on understanding and improving learning of chemistry. This article reviews many activities, changes, and accomplishments that have taken place in this area of scholarly activity despite its relatively recent emergence as a research area. The article describes how the two predominant broad perspectives of learning, behaviorism and constructivism, have shaped and influenced chemical education research design, analysis, and interpretation during the 1900s. Selected research studies illustrate the range of research design strategies and results that have contributed to an increased understanding of learning in chemistry. The article also provides a perspective of current and continuing challenges that researchers in this area face as they strive to bridge the gap between chemistry and education - disciplines with differing theoretical bases and research paradigms.
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FACT. Streamed data analysis and online application of machine learning models
Energy Technology Data Exchange (ETDEWEB)
Bruegge, Kai Arno; Buss, Jens [Technische Universitaet Dortmund (Germany). Astroteilchenphysik; Collaboration: FACT-Collaboration
2016-07-01
Imaging Atmospheric Cherenkov Telescopes (IACTs) like FACT produce a continuous flow of data during measurements. Analyzing the data in near real time is essential for monitoring sources. One major task of a monitoring system is to detect changes in the gamma-ray flux of a source, and to alert other experiments if some predefined limit is reached. In order to calculate the flux of an observed source, it is necessary to run an entire data analysis process including calibration, image cleaning, parameterization, signal-background separation and flux estimation. Software built on top of a data streaming framework has been implemented for FACT and generalized to work with the data acquisition framework of the Cherenkov Telescope Array (CTA). We present how the streams-framework is used to apply supervised machine learning models to an online data stream from the telescope.
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Sutherland, Shelbie L; Cimpian, Andrei
2015-08-01
Several proposals in the literature on conceptual development converge on the claim that information about kinds of things in the world has a privileged status in children's cognition, insofar as it is acquired, manipulated, and stored with surprising ease. Our goal in the present studies (N = 440) was to test a prediction of this claim. Specifically, if the early cognitive system privileges kind (or generic) information in the proposed ways, then learning new facts about kinds should be so seamless that it is often accompanied by an impression that these facts were known all along. To test this prediction, we presented 4- to 7-year-old children with novel kind-wide and individual-specific facts, and we then asked children whether they had prior knowledge of these facts. As predicted, children were under the impression that they had known the kind-wide facts more often than the individual-specific facts, even though in reality they had just learned both (Experiments 1, 2, 3, and 5). Importantly, learning facts about (nongeneric) plural sets of individuals was not similarly accompanied by heightened knew-it-all-along errors (Experiment 4), highlighting the privileged status of kind information per se. Finally, we found that young children were able to correctly recognize their previous ignorance of newly learned generic facts when this ignorance was made salient before the learning event (Experiment 6), suggesting that children's frequent knew-it-all-along impressions about such facts truly stem from metacognitive difficulties rather than being a methodological artifact. In sum, these 6 studies indicate that learning information about kinds is accompanied by heightened knew-it-all-along errors. More broadly, this evidence supports the view that early cognition privileges kind representations. (c) 2015 APA, all rights reserved).
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Marks, Joseph L.; Diaz, Alicia A.
2009-01-01
The "Southern Regional Education Board (SREB) Fact Book on Higher Education" is one of the nation's most comprehensive collections of comparative data on higher education. For decades, state leaders, policy-makers, researchers and journalists have used the "Fact Book" to find useful data quickly--and to learn more about…
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... Saves Lives Facts & Figures My Blood, Your Blood Blood Donation Types Did you know there is more than one type of blood donation? Learn more about blood donation types here. Blood Safety and Testing The blood supply ...
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Fast Facts about Online Learning
International Association for K-12 Online Learning, 2013
2013-01-01
This report explores the latest data concerning online and blended learning, enrollment, access, courses, and key policies indicators. It also reviews online learning statistics, trends, policy issues, and iNACOL strategic priorities. This report provides a snapshot view of state funding models for both full-time and supplemental online learning…
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International Nuclear Information System (INIS)
Adler, V.; Sorensen, J.H.; Rogers, G.O.
1989-01-01
Because the goal of emergency preparedness for both chemical and nuclear hazards is to reduce human exposure to hazardous materials, this paper examines the interchange of lessons learned from emergency planning and accident experience in both industries. While the concerns are slightly different, sufficient similarity is found for each to draw implications from the others experience. Principally the chemical industry can learn from the dominant planning experience associated with nuclear power plants, while the nuclear industry can chiefly learn from the chemical industry's accident experience. 23 refs
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Directory of Open Access Journals (Sweden)
Rachel Erbey
2011-07-01
Full Text Available The purpose of this study was to measure the effects of reading racetrack and flashcards when teaching phonics, sight words, and addition facts. The participants for the sight word and phonics portion of this study were two seven-year-old boys in the second grade. Both participants were diagnosed with a learning disability. The third participant was diagnosed with attention deficit hyperactivity disorder by his pediatrician and with a learning disability and traumatic brain injury by his school’s multi-disciplinary team.. The dependent measures were corrects and errors when reading from a first grade level sight word list. Math facts were selected based on a 100 add fact test for the third participant. The study demonstrated that racetracks paired with the flashcard intervention improved the students’ number of corrects for each subject-matter area (phonics, sight words, and math facts. However, the results show that some students had more success with it than others. These outcomes clearly warrant further research.
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Teaching and Learning the Concept of Chemical Bonding
Levy Nahum, Tami; Mamlok-Naaman, Rachel; Hofstein, Avi; Taber, Keith S.
2010-01-01
Chemical bonding is one of the key and basic concepts in chemistry. The learning of many of the concepts taught in chemistry, in both secondary schools as well as in the colleges, is dependent upon understanding fundamental ideas related to chemical bonding. Nevertheless, the concept is perceived by teachers, as well as by learners, as difficult,…
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Optimizing Chemical Reactions with Deep Reinforcement Learning.
Zhou, Zhenpeng; Li, Xiaocheng; Zare, Richard N
2017-12-27
Deep reinforcement learning was employed to optimize chemical reactions. Our model iteratively records the results of a chemical reaction and chooses new experimental conditions to improve the reaction outcome. This model outperformed a state-of-the-art blackbox optimization algorithm by using 71% fewer steps on both simulations and real reactions. Furthermore, we introduced an efficient exploration strategy by drawing the reaction conditions from certain probability distributions, which resulted in an improvement on regret from 0.062 to 0.039 compared with a deterministic policy. Combining the efficient exploration policy with accelerated microdroplet reactions, optimal reaction conditions were determined in 30 min for the four reactions considered, and a better understanding of the factors that control microdroplet reactions was reached. Moreover, our model showed a better performance after training on reactions with similar or even dissimilar underlying mechanisms, which demonstrates its learning ability.
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Facts about food irradiation: Controlling the process
International Nuclear Information System (INIS)
1991-01-01
This fact sheet briefly reviews the procedures that exist to control the process of food irradiation. It also summarizes the difficulties in identifying irradiated food, which stem from the fact that irradiation does not physically change the food or cause significant chemical changes in foods. 4 refs
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Directory of Open Access Journals (Sweden)
Mustafa Alavi-Moghaddam
2015-07-01
Full Text Available Background and purpose: Emergency physicians play an important role in the immediate diagnosis of bioterrorism activities. The present study was conducted with the purpose of comparing the effectiveness of e-learning and classroom learning in approach to bioterrorism and chemical terrorism for emergency physicians.Methods: This was a semi-empirical study, which was conducted via testing knowledge before and after the educational intervention in the field of bioterrorism and chemical terrorism on the emergency physicians in Tehran. The external validity of the questionnaire was confirmed by two academic experts in order to determine the ability to detect bioterrorist and chemical terrorist diseases. In this study, education was done in both virtual and classroom forms. The education regarded 6 bioterrorist diseases in group A (anthrax, plague, viral hemorrhagic fever, tularemia, smallpox, and 5 chemical terrorist diseases (nerve gas, mustard, lewisite, phosgene, chlorine.Results: 160 doctors participated in this study. 96 people (60% were men and 64 people (40% were women. The average age of the participants was 36.2±5.5 years. In e-learning method, the pre-test scores average was (30.6%, while the post-test scores average was (81.6% (p=0.001. In classroom learning method, the pre-test scores average was (41.9%, while the post-test scores average was (72.9%, which the pre-test and post-test scores average differences in both cases are significant (p<0.001. In e-learning method, the difference was (51%, and in the classroom method it was (31%, which these two represent a 20% difference between methods. From statistical point of view, this difference indicates that the e-learning method being more effective (p=0.02.Conclusions: Based on the study results, it seems that in comparison to the classroom learning, e-learning method is more effective in helping emergency physicians to diagnose bioterrorism or chemical terrorism factors.Keywords: E-LEARNING
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Enriching Addition and Subtraction Fact Mastery through Games
Bay-Williams, Jennifer M.; Kling, Gina
2014-01-01
The learning of "basic facts"--single-digit combinations for addition, subtraction, multiplication, and division--has long been a focus of elementary school mathematics. Many people remember completing endless worksheets, timed tests, and flash card drills as they attempted to "master" their basic facts as children. However,…
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Energy Technology Data Exchange (ETDEWEB)
2015-01-01
Ethanol is a widely-used, domestically-produced renewable fuel made from corn and other plant materials. More than 96% of gasoline sold in the United States contains ethanol. Learn more about this alternative fuel in the Ethanol Basics Fact Sheet, produced by the U.S. Department of Energy's Clean Cities program.
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... Affiliates JDRF Celebrity Ambassadors JDRF Logo Usage Contact Us Donate Events More Type 1 Diabetes Facts Type 1 diabetes (T1D) is an autoimmune ... about Insulin and T1D Learn More What Is Diabetes? Causes of T1D The Complexity of Diagnosing ... US CAREERS NEWSROOM FOR RESEARCHERS © JDRF 2018 • Privacy Policy • ...
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Incorporating Sustainability into Engineering and Chemical Education Using E-Learning
Directory of Open Access Journals (Sweden)
Edmond Sanganyado
2018-03-01
Full Text Available The purpose of this study was to develop e-learning activities that could facilitate the integration of sustainability concepts and practices in engineering and chemical education. Using an online learning management system (LMS, undergraduate students in an applied chemistry program at a public university in Zimbabwe participated in an online discussion on the role of chemical reaction engineering in achieving environmental sustainability goals. In the second activity, the students were instructed to prepare a design report for a cost-effective and innovative wastewater treatment plant for a rural hospital. The design report was evaluated through peer review online. Quantitative and qualitative analyses were performed on the two online activities to evaluate student engagement, quality of responses and the incorporation of sustainability into their learning. In the online discussion, 97 comments were made averaging 120 words per comment. Furthermore, the students averaged 3.88 comments, with the majority of comments exhibiting simple and complex argumentation, a deep reflection and widespread use of terms associated with sustainability such as recycling, pollution, waste and the environment. Furthermore, the evaluation of peer reviews revealed that participants demonstrated they could identify the strengths and shortcomings in the design reports. Therefore, this study demonstrated that e-learning, particularly peer review and online discussion, could help chemistry and engineering students appreciate the need for chemical and engineering activities that encourage sustainable development.
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DEFF Research Database (Denmark)
Vigild, Martin Etchells; Kiil, Søren; Wesselingh, Johannes
2007-01-01
Over the last decade Chemical Product Engineering has evolved as part of the Chemical Engineering Curriculum at several universities in Europe and America. At the DTU Chemical Product Engineering was introduced in 2000. This presentation will report on the experiences gained from teaching classes...... and preparing a text book on the subject. [1] Chemical Product Engineering is solidly based on chemical technical and engineering knowledge. Furthermore, the subject naturally calls for a holistic approach to teaching and learning and introduces elements which target transferable and professional engineering...... skills. Such skills are important in Chemical Product Engineering when dealing with open-ended problems, creative problem solutions, operating in a team working environment and exercising project management. In our course we emphasise team activites, formative feed back to the students as well as helping...
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Chemicals in food and allergy: fact and fiction
DEFF Research Database (Denmark)
Madsen, Charlotte Bernhard
1997-01-01
be able ta change the balance from tolerance to IgE production; and (iv) they may trigger non-allergic intolerance reactions. With the present knowledge of chemicals in foods, the human exposure to these chemicals, and the described trends in this exposure, there is no supportive evidence confirming......The prevalence of the atopic diseases asthma, rhinitis and atopic eczema has increased in the past two to three decades. It is not unusual to read the statement that food additives and other chemicals in food increase the risk of allergy. From a theoretical standpoint chemicals in the diet may...... influence allergic sensitization and elicitation in different ways: (i) they may directly cause allergy because they are allergens or haptens; (ii) they may act as adjuvants facilitating allergy to other (dietary) components; (iii) they may modulate the immune system by direct immunotoxicity and in theory...
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Silicon nanowire arrays as learning chemical vapour classifiers
International Nuclear Information System (INIS)
Niskanen, A O; Colli, A; White, R; Li, H W; Spigone, E; Kivioja, J M
2011-01-01
Nanowire field-effect transistors are a promising class of devices for various sensing applications. Apart from detecting individual chemical or biological analytes, it is especially interesting to use multiple selective sensors to look at their collective response in order to perform classification into predetermined categories. We show that non-functionalised silicon nanowire arrays can be used to robustly classify different chemical vapours using simple statistical machine learning methods. We were able to distinguish between acetone, ethanol and water with 100% accuracy while methanol, ethanol and 2-propanol were classified with 96% accuracy in ambient conditions.
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Learning to predict chemical reactions.
Kayala, Matthew A; Azencott, Chloé-Agathe; Chen, Jonathan H; Baldi, Pierre
2011-09-26
Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Approaches to the reaction prediction problems can be organized around three poles corresponding to: (1) physical laws; (2) rule-based expert systems; and (3) inductive machine learning. Previous approaches at these poles, respectively, are not high throughput, are not generalizable or scalable, and lack sufficient data and structure to be implemented. We propose a new approach to reaction prediction utilizing elements from each pole. Using a physically inspired conceptualization, we describe single mechanistic reactions as interactions between coarse approximations of molecular orbitals (MOs) and use topological and physicochemical attributes as descriptors. Using an existing rule-based system (Reaction Explorer), we derive a restricted chemistry data set consisting of 1630 full multistep reactions with 2358 distinct starting materials and intermediates, associated with 2989 productive mechanistic steps and 6.14 million unproductive mechanistic steps. And from machine learning, we pose identifying productive mechanistic steps as a statistical ranking, information retrieval problem: given a set of reactants and a description of conditions, learn a ranking model over potential filled-to-unfilled MO interactions such that the top-ranked mechanistic steps yield the major products. The machine learning implementation follows a two-stage approach, in which we first train atom level reactivity filters to prune 94.00% of nonproductive reactions with a 0.01% error rate. Then, we train an ensemble of ranking models on pairs of interacting MOs to learn a relative productivity function over mechanistic steps in a given system. Without the use of explicit transformation patterns, the ensemble perfectly ranks the productive mechanism at the top 89.05% of the time, rising to 99.86% of the time when the top four are considered. Furthermore, the system
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Learning to Predict Chemical Reactions
Kayala, Matthew A.; Azencott, Chloé-Agathe; Chen, Jonathan H.
2011-01-01
Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Approaches to the reaction prediction problems can be organized around three poles corresponding to: (1) physical laws; (2) rule-based expert systems; and (3) inductive machine learning. Previous approaches at these poles respectively are not high-throughput, are not generalizable or scalable, or lack sufficient data and structure to be implemented. We propose a new approach to reaction prediction utilizing elements from each pole. Using a physically inspired conceptualization, we describe single mechanistic reactions as interactions between coarse approximations of molecular orbitals (MOs) and use topological and physicochemical attributes as descriptors. Using an existing rule-based system (Reaction Explorer), we derive a restricted chemistry dataset consisting of 1630 full multi-step reactions with 2358 distinct starting materials and intermediates, associated with 2989 productive mechanistic steps and 6.14 million unproductive mechanistic steps. And from machine learning, we pose identifying productive mechanistic steps as a statistical ranking, information retrieval, problem: given a set of reactants and a description of conditions, learn a ranking model over potential filled-to-unfilled MO interactions such that the top ranked mechanistic steps yield the major products. The machine learning implementation follows a two-stage approach, in which we first train atom level reactivity filters to prune 94.00% of non-productive reactions with a 0.01% error rate. Then, we train an ensemble of ranking models on pairs of interacting MOs to learn a relative productivity function over mechanistic steps in a given system. Without the use of explicit transformation patterns, the ensemble perfectly ranks the productive mechanism at the top 89.05% of the time, rising to 99.86% of the time when the top four are considered. Furthermore, the system
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Learning Organic Chemistry Through Natural Products -12 ...
Indian Academy of Sciences (India)
Higher Learning. Generations of students would vouch for the fact that he has the uncanny ability to present the chemistry of natural products logically and with feeling. The most interesting chemical aspect of a molecule is its. reactivHy pattern. NR Krishnaswamy. In this part of the series, dynamic organic chemistry and.
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Learning of Chemical Equilibrium through Modelling-Based Teaching
Maia, Poliana Flavia; Justi, Rosaria
2009-01-01
This paper presents and discusses students' learning process of chemical equilibrium from a modelling-based approach developed from the use of the "Model of Modelling" diagram. The investigation was conducted in a regular classroom (students 14-15 years old) and aimed at discussing how modelling-based teaching can contribute to students…
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Problem-based learning biotechnology courses in chemical engineering.
Glatz, Charles E; Gonzalez, Ramon; Huba, Mary E; Mallapragada, Surya K; Narasimhan, Balaji; Reilly, Peter J; Saunders, Kevin P; Shanks, Jacqueline V
2006-01-01
We have developed a series of upper undergraduate/graduate lecture and laboratory courses on biotechnological topics to supplement existing biochemical engineering, bioseparations, and biomedical engineering lecture courses. The laboratory courses are based on problem-based learning techniques, featuring two- and three-person teams, journaling, and performance rubrics for guidance and assessment. Participants initially have found them to be difficult, since they had little experience with problem-based learning. To increase enrollment, we are combining the laboratory courses into 2-credit groupings and allowing students to substitute one of them for the second of our 2-credit chemical engineering unit operations laboratory courses.
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Spina Bifida. Fact Sheet = Espina Bifida. Hojas Informativas Sobre Discapacidades.
National Information Center for Children and Youth with Disabilities, Washington, DC.
This fact sheet offers definitions of the three types of spina bifida (spina bifida occulta, meningocele, and myelomeningocele), outlines their incidence, describes characteristics of individuals with spina bifida, and reviews educational implications. The fact sheet discusses the need for many children with myelomeningocele to learn to manage…
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KinChem: A Computational Resource for Teaching and Learning Chemical Kinetics
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…
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Chemically intuited, large-scale screening of MOFs by machine learning techniques
Borboudakis, Giorgos; Stergiannakos, Taxiarchis; Frysali, Maria; Klontzas, Emmanuel; Tsamardinos, Ioannis; Froudakis, George E.
2017-10-01
A novel computational methodology for large-scale screening of MOFs is applied to gas storage with the use of machine learning technologies. This approach is a promising trade-off between the accuracy of ab initio methods and the speed of classical approaches, strategically combined with chemical intuition. The results demonstrate that the chemical properties of MOFs are indeed predictable (stochastically, not deterministically) using machine learning methods and automated analysis protocols, with the accuracy of predictions increasing with sample size. Our initial results indicate that this methodology is promising to apply not only to gas storage in MOFs but in many other material science projects.
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Fassbender, Eric; Richards, Deborah; Bilgin, Ayse; Thompson, William Forde; Heiden, Wolfgang
2012-01-01
Game technology has been widely used for educational applications, however, despite the common use of background music in games, its effect on learning has been largely unexplored. This paper discusses how music played in the background of a computer-animated history lesson affected participants' memory for facts. A virtual history lesson was…
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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.
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User needs in chemical information
International Nuclear Information System (INIS)
Lehmann, H.; Poetzscher, G.; Wilson, A.J.C.
1990-05-01
Information has become an absolutely indispensable factor in the modern industrial society. In chemistry, detailed information about all compounds known is required. Learned journals, research and conference reports, publications from universities and learned societies, and dissertations present the progress in research. It is important that all properties of compounds (stereochemistry, physical values, chemical and environmental behaviour, toxicity etc.) reported in these publications be indexed and made available to the users. There is also a need for factual and/or numerical data and reviews concerning general or specific topics. High on the list of desiderata are timeliness, accuracy and completeness of the information. Abstracting and indexing services and database producers have to take in consideration that a high degree of userfriendliness is necessary. In the future, most of the information will be offered in computer readable form (factual and numerical databases, reaction databases, information on CD-ROM etc.), a fact which will require many improvements in the flow of information in order to render possible an easy and direct access to the chemical information worldwide. (author). 15 refs
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User needs in chemical information
Energy Technology Data Exchange (ETDEWEB)
Lehmann, H; Poetzscher, G [FIZ Chemie GmbH, Berlin (Germany); Wilson, A J.C. [Cambridge Univ., Cambridge (United Kingdom). Crystallographic Data Centre
1990-05-01
Information has become an absolutely indispensable factor in the modern industrial society. In chemistry, detailed information about all compounds known is required. Learned journals, research and conference reports, publications from universities and learned societies, and dissertations present the progress in research. It is important that all properties of compounds (stereochemistry, physical values, chemical and environmental behaviour, toxicity etc.) reported in these publications be indexed and made available to the users. There is also a need for factual and/or numerical data and reviews concerning general or specific topics. High on the list of desiderata are timeliness, accuracy and completeness of the information. Abstracting and indexing services and database producers have to take in consideration that a high degree of userfriendliness is necessary. In the future, most of the information will be offered in computer readable form (factual and numerical databases, reaction databases, information on CD-ROM etc.), a fact which will require many improvements in the flow of information in order to render possible an easy and direct access to the chemical information worldwide. (author). 15 refs.
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Hrin, Tamara N.; Milenkovic, Dušica D.; Segedinac, Mirjana D.
2016-01-01
Many studies in the field of chemical education have emphasized the fact that students at secondary level have considerable difficulties in mastering organic chemistry contents. As a result, they choose to learn these contents in a "rote" way. Taking this fact into consideration, the first aim of our study was to help students in…
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Children with Learning Disabilities. Facts for Families. Number 16
American Academy of Child & Adolescent Psychiatry (NJ1), 2011
2011-01-01
Parents are often worried when their child has learning problems in school. There are many reasons for school failure, but a common one is a specific learning disability. Children with learning disabilities can have intelligence in the normal range but the specific learning disability may make teachers and parents concerned about their general…
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Early history of chemical exchange isotope enrichment and lessons we learn
International Nuclear Information System (INIS)
Ishida, Takanobu; Ono, Yuriko
2006-01-01
The chemical exchange isotope enrichment process has an advantage over other isotope separation methods in that it involves two chemicals rather than one and, consequently, relatively large separation factors can be obtained. However, the chemical exchange method requires a chemical conversion of the substance enriched in the target isotope into the second substance. The idiosyncrasies of the isotope separation process by this method are pointed out using McCabe-Thiele diagram and, from them, the difficulties involved in the chemical exchange methods are itemized. Examples of the points being made are taken from the pioneering works of this field carried out by Harold C. Urey, his contemporaries, the students and the students' students. Lessons we learn from these works are discussed. (author)
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Arithmetic Facts Storage Deficit: The Hypersensitivity-to-Interference in Memory Hypothesis
De Visscher, Alice; Noël, Marie-Pascale
2014-01-01
Dyscalculia, or mathematics learning disorders, is currently known to be heterogeneous (Wilson & Dehaene, 2007). While various profiles of dyscalculia coexist, a general and persistent hallmark of this math learning disability is the difficulty in memorizing arithmetic facts (Geary, Hoard & Hamson, 1999; Jordan & Montani, 1997; Slade…
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Teaching Science Fact with Science Fiction
Raham, R. Gary
2004-01-01
The literature of science fiction packs up the facts and discoveries of science and runs off to futures filled with both wonders and warnings. Kids love to take the journeys it offers for the thrill of the ride, but they can learn as they travel, too. This book will provide the reader with: (1) an overview of the past 500 years of scientific…
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Directory of Open Access Journals (Sweden)
Xu Chen
2018-01-01
Full Text Available Teaching-learning-based optimization (TLBO is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the past few years. In the basic TLBO and most of its variants, all the learners have the same probability of getting knowledge from others. However, in the real world, learners are different, and each learner’s learning enthusiasm is not the same, resulting in different probabilities of acquiring knowledge. Motivated by this phenomenon, this study introduces a learning enthusiasm mechanism into the basic TLBO and proposes a learning enthusiasm based TLBO (LebTLBO. In the LebTLBO, learners with good grades have high learning enthusiasm, and they have large probabilities of acquiring knowledge from others; by contrast, learners with bad grades have low learning enthusiasm, and they have relative small probabilities of acquiring knowledge from others. In addition, a poor student tutoring phase is introduced to improve the quality of the poor learners. The proposed method is evaluated on the CEC2014 benchmark functions, and the computational results demonstrate that it offers promising results compared with other efficient TLBO and non-TLBO algorithms. Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.
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Moreno, Luis F.; Hincapié, Gina; Alzate, María Victoria
2014-01-01
Cheminoes is a didactic game that enables the meaningful learning of some relations between concepts such as chemical element, valence, atomic number, and chemical symbol for the first 36 chemical elements of the periodic system. Among the students who have played the game, their opinions of the activity were positive, considering the game to be a…
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Yalçınkaya, Eylem; Taştan-Kırık, Özgecan; Boz, Yezdan; Yıldıran, Demet
2012-07-01
Background: Case-based learning (CBL) is simply teaching the concept to the students based on the cases. CBL involves a case, which is a scenario based on daily life, and study questions related to the case, which allows students to discuss their ideas. Chemical kinetics is one of the most difficult concepts for students in chemistry. Students have generally low levels of conceptual understanding and many alternative conceptions regarding it. Purpose: This study aimed to explore the effect of CBL on dealing with students' alternative conceptions about chemical kinetics. Sample: The sample consists of 53 high school students from one public high school in Turkey. Design and methods : Nonequivalent pre-test and post-test control group design was used. Reaction Rate Concept Test and semi-structured interviews were used for data collection. Convenience sampling technique was followed. For data analysis, the independent samples t-test and ANOVA was performed. Results : Both concept test and interview results showed that students instructed with cases had better understanding of core concepts of chemical kinetics and had less alternative conceptions related to the subject matter compared to the control group students, despite the fact that it was impossible to challenge all the alternative conceptions in the experimental group. Conclusions: CBL is an effective teaching method for challenging students' alternative conceptions in the context of chemical kinetics. Since using cases in small groups and whole class discussions has been found to be an effective way to cope with the alternative conceptions, it can be applied to other subjects and grade levels in high schools with a higher sample size. Furthermore, the effect of this method on academic achievement, motivation and critical thinking skills are other variables that can be investigated for future studies in the subject area of chemistry.
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Toxicity of Pesticides. Agrichemical Fact Sheet 2.
Hock, Winand K.
This fact sheet gives the acute oral and dermal toxicity (LD 50) of over 250 pesticides in lab animals. The chemicals are categorized as fungicides, herbicides, insecticides, or miscellaneous compounds. One or more trade names are given for each pesticide. In addition, a brief explanation of toxicity determination is given. (BB)
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A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks
Harirchi, Farshad; Khalil, Omar A.; Liu, Sijia; Elvati, Paolo; Violi, Angela; Hero, Alfred O.
2017-01-01
In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network. This reduced set of reactions is then employed to construct a reduced chemical reaction mechanism, which is relevant to chemical interaction network modeling. The problem of identifying influential reactions is first formulated as a mixed-integer quadratic program, and then a relaxation method is leveraged to reduce the computational comple...
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Virtual Chemical Engineering: Guidelines for E-Learning in Engineering Education
Directory of Open Access Journals (Sweden)
Damian Schofield
2010-11-01
Full Text Available Advanced three-dimensional virtual environment technology, similar to that used by the film and computer games industry can allow educational developers to rapidly create realistic three-dimensional, virtual environments. This technology has been used to generate a range of interactive learning environments across a broad spectrum of industries.The paper will discuss the implementation of these systems and extrapolate the lessons learnt into general guidelines to be considered for the development of a range of educational learning resources. These guidelines will then be discussed in the context of the development of ViRILE (Virtual Reality Interactive Learning Environment, software which simulates the configuration and operation of a polymerisation plant. This software package has been developed for use by undergraduate chemical engineers at the University of Nottingham.
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In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.
Du, Hanwen; Cai, Yingchun; Yang, Hongbin; Zhang, Hongxiao; Xue, Yuhan; Liu, Guixia; Tang, Yun; Li, Weihua
2017-05-15
Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefore, rapid and efficient identification of aromatase-related endocrine disrupting chemicals (EDCs) is important for toxicology and environment risk assessment. In this study, on the basis of the Tox21 10K compound library, in silico classification models for predicting aromatase binders/nonbinders were constructed by machine learning methods. To improve the prediction ability of the models, a combined classifier (CC) strategy that combines different independent machine learning methods was adopted. Performances of the models were measured by test and external validation sets containing 1336 and 216 chemicals, respectively. The best model was obtained with the MACCS (Molecular Access System) fingerprint and CC method, which exhibited an accuracy of 0.84 for the test set and 0.91 for the external validation set. Additionally, several representative substructures for characterizing aromatase binders, such as ketone, lactone, and nitrogen-containing derivatives, were identified using information gain and substructure frequency analysis. Our study provided a systematic assessment of chemicals binding to aromatase. The built models can be helpful to rapidly identify potential EDCs targeting aromatase.
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An Educational Card Game for Learning Families of Chemical Elements
Mariscal, Antonio Joaquin Franco; Martinez, Jose Maria Oliva; Marquez, Serafin Bernal
2012-01-01
This paper describes an educational card game designed to help high school students (grade 10, 15-16 years old) "understand," as opposed to memorize, the periodic table. The game may also be used to identify different chemical elements found in daily life objects. As an additional value, students learn the names and symbols of the displayed…
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A New Multimedia Application for Teaching and Learning Chemical Equilibrium
Ollino, Mario; Aldoney, Jenny; Domínguez, Ana M.; Merino, Cristian
2018-01-01
This study presents a method for teaching the subject of chemical equilibrium in which students engage in self-learning mediated by the use of a new multimedia animation (SEQ-alfa©). This method is presented together with evidence supporting its advantages. At a microscopic level, the simulator shows the mutual transformation of A molecules into B…
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Using Deep Learning for Gamma Ray Source Detection at the First G-APD Cherenkov Telescope (FACT)
Bieker, Jacob
2018-06-01
Finding gamma-ray sources is of paramount importance for Imaging Air Cherenkov Telescopes (IACT). This study looks at using deep neural networks on data from the First G-APD Cherenkov Telescope (FACT) as a proof-of-concept of finding gamma-ray sources with deep learning for the upcoming Cherenkov Telescope Array (CTA). In this study, FACT’s individual photon level observation data from the last 5 years was used with convolutional neural networks to determine if one or more sources were present. The neural networks used various architectures to determine which architectures were most successful in finding sources. Neural networks offer a promising method for finding faint and extended gamma-ray sources for IACTs. With further improvement and modifications, they offer a compelling method for source detection for the next generation of IACTs.
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A multidimensional framework of conceptual change for developing chemical equilibrium learning
Chanyoo, Wassana; Suwannoi, Paisan; Treagust, David F.
2018-01-01
The purposes of this research is to investigate the existing chemical equilibrium lessons in Thailand based on the multidimensional framework of conceptual change, to determine how the existing lessons could enhance students' conceptual change. This research was conducted based on qualitative perspective. Document, observations and interviews were used to collect data. To comprehend all students conceptions, diagnostic tests were applied comprised of The Chemical Equilibrium Diagnostic Test (the CEDT) and The Chemical Equilibrium Test for Reveal Conceptual Change (the CETforRCC). In addition, to study students' motivations, the Motivated Strategies for Learning Questionnaire (the MSLQ) and students' task engagement were applied. Following each perspective of conceptual change - ontological, epistemological, and social/affective - the result showed that the existing chemical equilibrium unit did not enhance students' conceptual change, and some issues were found. The problems obstructed students conceptual change should be remedy under the multidimensional framework of conceptual change. Finally, some suggestions were provided to enhance students' conceptual change in chemical equilibrium effectively
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Implications, large and small, from chemical education research for the teaching of chemistry
Directory of Open Access Journals (Sweden)
Peter J. Fensham
2002-05-01
Full Text Available Research studies in chemical education pose a communication problem for chemists. Unlike the findings from other specializations in chemistry the findings in chemical education tend to be reported in education journals that are not readily accessible to most chemists or chemistry teachers. This lecture is an attempt to remedy this gap in communication. Research studies fall into three broad categories. (i issues related to the content of chemistry itself, that is, What content to teach? And What meaning of each topic is to be conveyed? (ii issues related to how chemical content is taught, such as, the role of lectures, practical work, particular pedagogies, etc. and (iii issues related to its learning, that is, learning of concepts, conceptual change, motivation, etc. Findings in each of these categories of research over the last twenty years have drawn attention to opportunities for improving the quality of chemical education in each of the levels of formal education where chemistry is taught. Sometimes the research findings seem small since they, in fact, merely diagnose the actual problem in teaching and learning. At other times, the research findings are large because they provide a solution to these problems. What remains to be done is to disseminate the findings so that appropriate teaching occurs more widely, with its consequent gains in the quality of learning. Research findings, of these small and large types will be used to illustrate the potential of research to make the practice of chemical education more effective.
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Heitmann, Patricia; Hecht, Martin; Scherer, Ronny; Schwanewedel, Julia
2017-01-01
Argumentation is considered crucial in numerous disciplines in schools and universities because it constitutes an important proficiency in peoples' daily and professional lives. However, it is unclear whether argumentation is understood and practiced in comparable ways across disciplines. This study consequently examined empirically how students perceive argumentation in science and (first) language lessons. Specifically, we investigated students' beliefs about the relevance of discourse and the role of facts. Data from 3,258 high school students from 85 German secondary schools were analyzed with multigroup multilevel structural equation modeling in order to disentangle whether or not differences in argumentation across disciplines exist and the extent to which variation in students' beliefs can be explained by gender and school track. Results showed that students perceived the role of facts as highly relevant for science lessons, whereas discursive characteristics were considered significantly less important. In turn, discourse played a central role in language lessons, which was believed to require less knowledge of facts. These differences were independent of students' gender. In contrast, school track predicted the differences in beliefs significantly. Our findings lend evidence on the existence of disciplinary school cultures in argumentation that may be the result of differences in teachers' school-track-specific classroom practice and education. Implications in terms of a teacher's role in establishing norms for scientific argumentation as well as the impact of students' beliefs on their learning outcomes are discussed. PMID:28642727
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ilhan, Nail; Yildirim, Ali; Yilmaz, Sibel Sadi
2016-01-01
In recent years, many countries have adopted a context-based approach for designing science curricula for education at all levels. The aim of this study was to determine the effectiveness of a Context-Based Chemistry Course (CBCC) as compared with traditional/existing instruction, on 11th grade students' learning about chemical equilibrium,…
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N. R. Fitriani; A. Widiyatmoko; M. Khusniati
2016-01-01
Science learning in school can be applied by connecting the material in the learning with real life. However in fact science learning process in SMP Negeri 10 Magelang has not emphasized students’ activity to relate science to real life. Learning science using CTL guided inquiry-based model implement the learning in where teacher provides initial questions related issues or events in everyday life, then students do experiments to prove concepts of science guided by teacher.The purpose of this...
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Less is more: Sampling chemical space with active learning
Smith, Justin S.; Nebgen, Ben; Lubbers, Nicholas; Isayev, Olexandr; Roitberg, Adrian E.
2018-06-01
The development of accurate and transferable machine learning (ML) potentials for predicting molecular energetics is a challenging task. The process of data generation to train such ML potentials is a task neither well understood nor researched in detail. In this work, we present a fully automated approach for the generation of datasets with the intent of training universal ML potentials. It is based on the concept of active learning (AL) via Query by Committee (QBC), which uses the disagreement between an ensemble of ML potentials to infer the reliability of the ensemble's prediction. QBC allows the presented AL algorithm to automatically sample regions of chemical space where the ML potential fails to accurately predict the potential energy. AL improves the overall fitness of ANAKIN-ME (ANI) deep learning potentials in rigorous test cases by mitigating human biases in deciding what new training data to use. AL also reduces the training set size to a fraction of the data required when using naive random sampling techniques. To provide validation of our AL approach, we develop the COmprehensive Machine-learning Potential (COMP6) benchmark (publicly available on GitHub) which contains a diverse set of organic molecules. Active learning-based ANI potentials outperform the original random sampled ANI-1 potential with only 10% of the data, while the final active learning-based model vastly outperforms ANI-1 on the COMP6 benchmark after training to only 25% of the data. Finally, we show that our proposed AL technique develops a universal ANI potential (ANI-1x) that provides accurate energy and force predictions on the entire COMP6 benchmark. This universal ML potential achieves a level of accuracy on par with the best ML potentials for single molecules or materials, while remaining applicable to the general class of organic molecules composed of the elements CHNO.
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Energy Technology Data Exchange (ETDEWEB)
Motz, L.; Decision and Information Sciences
2011-02-21
This study presents the lessons learned by chemical storage installations as they prepared for the start of chemical demilitarization plant operations at the four current chemical incinerator sites in Alabama, Arkansas, Oregon, and Utah. The study included interviews with persons associated with the process and collection of available documents prepared at each site. The goal was to provide useful information for the chemical weapons storage sites in Colorado and Kentucky that will be going through plant start-up in the next few years. The study is not a compendium of what to do and what not to do. The information has been categorized into ten lessons learned; each is discussed individually. Documents that may be useful to the Colorado and Kentucky sites are included in the appendices. This study should be used as a basis for planning and training.
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Energy Technology Data Exchange (ETDEWEB)
NONE
1991-12-01
The safety and benefits of foods processed by ionizing radiation are well documented. In an effort to provide governments, especially those of developing countries, with scientifically accurate information on issues of general interest to the public, the International Consultative Group on Food Irradiation (ICGFI), which was established under the aegis of the Food and Agriculture Organization of the United Nations (FAO), the World Health Organization (WHO), and the IAEA, decided at its 7th Annual Meeting in Rome, Italy, on October 1990, to issue a series of ''Fact Sheets'' on the subject. ICGFI, an inter-governmental body with a membership of 37 governments, has as one of its mandates the function to provide information to Member States of the FAO, WHO, and IAEA and to the three organizations themselves on the safe and proper use of food irradiation technology. The Fact Sheets included here cover issues relating to: status and trends; scientific and technical terms; food irradiation and radioactivity; chemical changes in irradiated food; nutritional quality of irradiated foods; genetic studies; microbiological safety of irradiated food; irradiation and food safety; irradiation and food additives and residues; packaging of irradiated foods; safety of irradiation facilities; controlling the process; food irradiation costs; and irradiated foods and the consumer. The Fact Sheets have been separately indexed and included in the INIS Database under Reference Numbers 23011206-23011217, 23011319 and 23012743. The Fact Sheets were first issued by the ICGFI Secretariat (Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria) in May 1991.
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International Nuclear Information System (INIS)
1991-12-01
The safety and benefits of foods processed by ionizing radiation are well documented. In an effort to provide governments, especially those of developing countries, with scientifically accurate information on issues of general interest to the public, the International Consultative Group on Food Irradiation (ICGFI), which was established under the aegis of the Food and Agriculture Organization of the United Nations (FAO), the World Health Organization (WHO), and the IAEA, decided at its 7th Annual Meeting in Rome, Italy, on October 1990, to issue a series of ''Fact Sheets'' on the subject. ICGFI, an inter-governmental body with a membership of 37 governments, has as one of its mandates the function to provide information to Member States of the FAO, WHO, and IAEA and to the three organizations themselves on the safe and proper use of food irradiation technology. The Fact Sheets included here cover issues relating to: status and trends; scientific and technical terms; food irradiation and radioactivity; chemical changes in irradiated food; nutritional quality of irradiated foods; genetic studies; microbiological safety of irradiated food; irradiation and food safety; irradiation and food additives and residues; packaging of irradiated foods; safety of irradiation facilities; controlling the process; food irradiation costs; and irradiated foods and the consumer. The Fact Sheets have been separately indexed and included in the INIS Database under Reference Numbers 23011206-23011217, 23011319 and 23012743. The Fact Sheets were first issued by the ICGFI Secretariat (Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria) in May 1991
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Lessons learned from the design of chemical space networks and opportunities for new applications
Vogt, Martin; Stumpfe, Dagmar; Maggiora, Gerald M.; Bajorath, Jürgen
2016-03-01
The concept of chemical space is of fundamental relevance in chemical informatics and computer-aided drug discovery. In a series of articles published in the Journal of Computer- Aided Molecular Design, principles of chemical space design were evaluated, molecular networks proposed as an alternative to conventional coordinate-based chemical reference spaces, and different types of chemical space networks (CSNs) constructed and analyzed. Central to the generation of CSNs was the way in which molecular similarity relationships were assessed and a primary focal point was the network-based representation of biologically relevant chemical space. The design and comparison of CSNs based upon alternative similarity measures can be viewed as an evolutionary path with interesting lessons learned along the way. CSN design has matured to the point that such chemical space representations can be used in practice. In this contribution, highlights from the sequence of CSN design efforts are discussed in context, providing a perspective for future practical applications.
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Lessons learned from the design of chemical space networks and opportunities for new applications.
Vogt, Martin; Stumpfe, Dagmar; Maggiora, Gerald M; Bajorath, Jürgen
2016-03-01
The concept of chemical space is of fundamental relevance in chemical informatics and computer-aided drug discovery. In a series of articles published in the Journal of Computer-Aided Molecular Design, principles of chemical space design were evaluated, molecular networks proposed as an alternative to conventional coordinate-based chemical reference spaces, and different types of chemical space networks (CSNs) constructed and analyzed. Central to the generation of CSNs was the way in which molecular similarity relationships were assessed and a primary focal point was the network-based representation of biologically relevant chemical space. The design and comparison of CSNs based upon alternative similarity measures can be viewed as an evolutionary path with interesting lessons learned along the way. CSN design has matured to the point that such chemical space representations can be used in practice. In this contribution, highlights from the sequence of CSN design efforts are discussed in context, providing a perspective for future practical applications.
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International Nuclear Information System (INIS)
Rochedo, Pedro R.R.; Szklo, Alexandre
2013-01-01
Highlights: • This work defines the minimum work of separation (MWS) for a capture process. • Findings of the analysis indicated a MWS of 0.158 GJ/t for post-combustion. • A review of commercially available processes based on chemical absorption was made. • A review of learning models was conducted, with the addition on a novel model. • A learning curve for post-combustion carbon capture was successfully designed. - Abstract: Carbon capture is one of the most important alternatives for mitigating greenhouse gas emissions in energy facilities. The post-combustion route based on chemical absorption with amine solvents is the most feasible alternative for the short term. However, this route implies in huge energy penalties, mainly related to the solvent regeneration. By defining the minimum work of separation (MWS), this study estimated the minimum energy required to capture the CO 2 emitted by coal-fired thermal power plants. Then, by evaluating solvents and processes and comparing it to the MWS, it proposes the learning model with the best fit for the post-combustion chemical absorption of CO 2 . Learning models are based on earnings from experience, which can include the intensity of research and development. In this study, three models are tested: Wright, DeJong and D and L. Findings of the thermochemical analysis indicated a MWS of 0.158 GJ/t for post-combustion. Conventional solvents currently present an energy penalty eight times the MWS. By using the MWS as a constraint, this study found that the D and L provided the best fit to the available data of chemical solvents and absorption plants. The learning rate determined through this model is very similar to the ones found in the literature
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Timing of quizzes during learning: Effects on motivation and retention.
Healy, Alice F; Jones, Matt; Lalchandani, Lakshmi A; Tack, Lindsay Anderson
2017-06-01
This article investigates how the timing of quizzes given during learning impacts retention of studied material. We investigated the hypothesis that interspersing quizzes among study blocks increases student engagement, thus improving learning. Participants learned 8 artificial facts about each of 8 plant categories, with the categories blocked during learning. Quizzes about 4 of the 8 facts from each category occurred either immediately after studying the facts for that category (standard) or after studying the facts from all 8 categories (postponed). In Experiment 1, participants were given tests shortly after learning and several days later, including both the initially quizzed and unquizzed facts. Test performance was better in the standard than in the postponed condition, especially for categories learned later in the sequence. This result held even for the facts not quizzed during learning, suggesting that the advantage cannot be due to any direct testing effects. Instead the results support the hypothesis that interrupting learning with quiz questions is beneficial because it can enhance learner engagement. Experiment 2 provided further support for this hypothesis, based on participants' retrospective ratings of their task engagement during the learning phase. These findings have practical implications for when to introduce quizzes in the classroom. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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Physico-chemical properties of perturbed water: facts and enigmas
Vittorio Elia
2012-01-01
Background The study of extremely diluted and agitated substances and solutions is strictly linked with the analysis of properties of water perturbed using different systems. This study is about the determination of the physical-chemical parameters of water, after the perturbations described. Methods The perturbed water was obtained using the three different protocols: · EDS (Extremely Diluted Solutions). Obtained through an iterative process of ...
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Organizational Learning as a testbed for BPR
DEFF Research Database (Denmark)
Larsen, Michael Holm; Leinsdorff, Torben
1998-01-01
The fact that a company´s learning ability may prevent strategic drift and the fact that many companies are undertaking BPR projects lead us to inquire into whether all BPR activities promote organizational learning...
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Learning the mechanisms of chemical disequilibria
Energy Technology Data Exchange (ETDEWEB)
Nicholson, Schuyler B.; Alaghemandi, Mohammad [Department of Chemistry, University of Massachusetts Boston, Boston, Massachusetts 02125 (United States); Green, Jason R., E-mail: jason.green@umb.edu [Department of Chemistry, University of Massachusetts Boston, Boston, Massachusetts 02125 (United States); Department of Physics, University of Massachusetts Boston, Boston, Massachusetts 02125 (United States); Center for Quantum and Nonequilibrium Systems, University of Massachusetts Boston, Boston, Massachusetts 02125 (United States)
2016-08-28
When at equilibrium, large-scale systems obey thermodynamics because they have microscopic configurations that are typical. “Typical” states are a fraction of those possible with the majority of the probability. A more precise definition of typical states underlies the transmission, coding, and compression of information. However, this definition does not apply to natural systems that are transiently away from equilibrium. Here, we introduce a variational measure of typicality and apply it to atomistic simulations of a model for hydrogen oxidation. While a gaseous mixture of hydrogen and oxygen combusts, reactant molecules transform through a variety of ephemeral species en route to the product, water. Out of the exponentially growing number of possible sequences of chemical species, we find that greater than 95% of the probability concentrates in less than 1% of the possible sequences. Overall, these results extend the notion of typicality across the nonequilibrium regime and suggest that typical sequences are a route to learning mechanisms from experimental measurements. They also open up the possibility of constructing ensembles for computing the macroscopic observables of systems out of equilibrium.
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Learning the mechanisms of chemical disequilibria
International Nuclear Information System (INIS)
Nicholson, Schuyler B.; Alaghemandi, Mohammad; Green, Jason R.
2016-01-01
When at equilibrium, large-scale systems obey thermodynamics because they have microscopic configurations that are typical. “Typical” states are a fraction of those possible with the majority of the probability. A more precise definition of typical states underlies the transmission, coding, and compression of information. However, this definition does not apply to natural systems that are transiently away from equilibrium. Here, we introduce a variational measure of typicality and apply it to atomistic simulations of a model for hydrogen oxidation. While a gaseous mixture of hydrogen and oxygen combusts, reactant molecules transform through a variety of ephemeral species en route to the product, water. Out of the exponentially growing number of possible sequences of chemical species, we find that greater than 95% of the probability concentrates in less than 1% of the possible sequences. Overall, these results extend the notion of typicality across the nonequilibrium regime and suggest that typical sequences are a route to learning mechanisms from experimental measurements. They also open up the possibility of constructing ensembles for computing the macroscopic observables of systems out of equilibrium.
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Frercks, Jan
2010-03-01
In this article, I argue that chemical lectures at universities played a crucial role in the establishment of chemistry as a well-defined science in Germany around 1800. In particular, lecture demonstrations served to secure the facticity of facts. This was important, because the concept of the chemical fact was at the centre of the prevailing epistemology, which itself partly reflected the social order of chemistry as a science in Germany, and partly served to foster it. In the dialectic constellation of research and teaching, professor-chemists took the lead in the social and epistemological definition of chemistry.
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Full Text Available ... to main content Easy-to-Read Drug Facts Search form Search Menu Home Drugs That People Abuse Alcohol Facts ... Past Drug Use Prevention Phone Numbers and Websites Search Share Listen English Español Information about this page ...
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Magic Finger Teaching Method in Learning Multiplication Facts among Deaf Students
Thai, Liong; Yasin, Mohd. Hanafi Mohd
2016-01-01
Deaf students face problems in mastering multiplication facts. This study aims to identify the effectiveness of Magic Finger Teaching Method (MFTM) and students' perception towards MFTM. The research employs a quasi experimental with non-equivalent pre-test and post-test control group design. Pre-test, post-test and questionnaires were used. As…
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Did you know? Petroleum industry fast facts: Alberta
International Nuclear Information System (INIS)
1999-10-01
This is part of a series of brochures published by the Petroleum Communication Foundation, a non-profit society established in 1975. The foundation's objective is to stimulate public awareness and understanding of Canada's petroleum industry and its contribution to the economy of each of the provinces where the industry's presence and impact is substantial. This brochure provides brief, but useful, information about Alberta, about its area (661,190 sq.km), capital (Edmonton), population (2.914,918 in 1998) major industries (petroleum and mining, chemical products, agriculture, food, manufacturing, construction), revenue from natural resources (an estimated $ 3.4 billion from oil and natural gas in 1999-2000, or about 15 per cent of total government revenues), some facts about the petroleum industry in Alberta, (production, employment, pipelines, etc.), major exports (petroleum and natural gas, manufactured goods, primary agricultural products, chemicals and chemical products), and upstream industry expenditures in the province (about $ 12 billion in 1998). map, pie-chart, figs
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Energy Technology Data Exchange (ETDEWEB)
Newkirk, H.W.
1977-05-11
This report is a compendium of facts related to chemical materials present in industrial waste process streams which have already been declared or are being evaluated as hazardous under the Toxic Substances Control Act. Since some 400 chemicals are presently covered by consensus standards, the substances reviewed are only those considered to be a major threat to public health and welfare by Federal and State regulatory agencies. For each hazardous material cited, the facts relate, where possible, to an identification of the stationary industrial sources, the kind of waste stream impacted, proposed regulations and established effluent standards, the volume of emissions produced each year, the volume of emissions per unit of industrial product produced, present clean-up capabilities, limitations, and costs. These data should be helpful in providing information for the assessment of potential problems, should be of use to the manufacturers of pollution control equipment or of chemicals for pollution control, should be of use to the operators or potential operators of processes which produce pollutants, and should help to define industry-wide emission practices and magnitudes.
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Intellectual skills needed for the effective learning and application of chemical knowledge
Drummond, Helen P.; Selvaratnam, Mailoo
2009-01-01
Many students' difficulties in learning and applying chemical knowledge are associated with their being incompetent in a few widely applicable intellectual skills and strategies. This paper discusses the results of a study that was done to test first year university students' competence in some types of intellectual skills that are important in chemistry. The skills tested include language skills, mathematical skills, graphical skills, three-dimensional visualization skills, information proce...
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Directory of Open Access Journals (Sweden)
Marc Henry
2009-08-01
Full Text Available Among all the chemical substances available in the universe, water, with its deceptively simple formula H2O, is the most discussed subject either in science or in philosophy [1]. If you are not convinced by this affirmation, a little experiment at no cost may help you change your mind. Just open your favorite web browser and type the word “water” in any search engine. When I have done that using Google, the number of hits was about 682,000,000 (please do not try to read all the pages. In fact, the only words that seem to beat water at this little game are “air” (770,000,000 hits with Google and 3,120,000,000 with Yahoo, and “food” (689,000,000 hits with Google and 3,820,000,000 with Yahoo. Of course this should not be a surprise, as breathing, eating, drinking just mean that you are a living entity. In fact extending the water search to “eau” (French, “wasser” (German, “agua” (Spanish, Portuguese and “acqua” (Italian leads to 978,900,000 hits under Google and 3,426,000,000 hits under Yahoo, showing now that water is about as important as food. After all, as everybody knows, “water is life”, and do we really have to read about one billion documents to know at least what water really is? [...
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Presence and Perceived Learning in Different Higher Education Blended Learning Environments
Khodabandelou, Rouhollah; Jalil, Habibah Ab; Ali, Wan Zah Wan; Daud, Shaffe Mohd
2015-01-01
Blended learning as "third generation" of distance learning has the potential to offer multimethod instruction through the blend, to leverage the strengths of current online and traditional instructions. Therefore, higher education institutions having recognized the fact that blended learning is beneficial, adopted this alternative…
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Just the facts? Introductory undergraduate biology courses focus on low-level cognitive skills.
Momsen, Jennifer L; Long, Tammy M; Wyse, Sara A; Ebert-May, Diane
2010-01-01
Introductory biology courses are widely criticized for overemphasizing details and rote memorization of facts. Data to support such claims, however, are surprisingly scarce. We sought to determine whether this claim was evidence-based. To do so we quantified the cognitive level of learning targeted by faculty in introductory-level biology courses. We used Bloom's Taxonomy of Educational Objectives to assign cognitive learning levels to course goals as articulated on syllabi and individual items on high-stakes assessments (i.e., exams and quizzes). Our investigation revealed the following: 1) assessment items overwhelmingly targeted lower cognitive levels, 2) the cognitive level of articulated course goals was not predictive of the cognitive level of assessment items, and 3) there was no influence of course size or institution type on the cognitive levels of assessments. These results support the claim that introductory biology courses emphasize facts more than higher-order thinking.
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Ghirardi, Marco; Marchetti, Fabio; Pettinari, Claudio; Regis, Alberto; Roletto, Ezio
2015-01-01
A didactic sequence is proposed for the teaching of chemical equilibrium law. In this approach, we have avoided the kinetic derivation and the thermodynamic justification of the equilibrium constant. The equilibrium constant expression is established empirically by a trial-and-error approach. Additionally, students learn to use the criterion of…
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A Teaching Sequence for Learning the Concept of Chemical Equilibrium in Secondary School Education
Ghirardi, Marco; Marchetti, Fabio; Pettinari, Claudio; Regis, Alberto; Roletto, Ezio
2014-01-01
A novel didactic sequence is proposed for the teaching of chemical equilibrium. This teaching sequence takes into account the historical and epistemological evolution of the concept, the alternative conceptions and learning difficulties highlighted by teaching science and research in education, and the need to focus on both the students'…
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Deep learning versus traditional machine learning methods for aggregated energy demand prediction
Paterakis, N.G.; Mocanu, E.; Gibescu, M.; Stappers, B.; van Alst, W.
2018-01-01
In this paper the more advanced, in comparison with traditional machine learning approaches, deep learning methods are explored with the purpose of accurately predicting the aggregated energy consumption. Despite the fact that a wide range of machine learning methods have been applied to
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Superfund fact sheet: The remedial program. Fact sheet
International Nuclear Information System (INIS)
1992-09-01
The fact sheet describes what various actions the EPA can take to clean up hazardous wastes sites. Explanations of how the criteria for environmental and public health risk assessment are determined and the role of state and local governments in site remediation are given. The fact sheet is one in a series providing reference information about Superfund issues and is intended for readers with no formal scientific training
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Effect of Continuous Assessment on Learning Outcomes on Two Chemical Engineering Courses: Case Study
Tuunila, R.; Pulkkinen, M.
2015-01-01
In this paper, the effect of continuous assessment on the learning outcomes of two chemical engineering courses is studied over a several-year period. Average grades and passing percentages of courses after the final examination are reported and also student feedback on the courses is collected. The results indicate significantly better learning…
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Case examples of chemical plant accidents. What we learn from them?
International Nuclear Information System (INIS)
Nakamura, Masayoshi
2009-01-01
Lessons learned from the JCO Nuclear Criticality Accident of 30 September 1999 in a uranium conversion test plant in Tokai-mura, Japan, are reviewed by referring some pertinent matters from the official report of this accident to remind of the universal characteristics among possible accidents of chemical plants. The paper discusses the responsibility of the establishment or institution to the demand alternation or request change from the client, how to respond to the proposal arising from the factory floor, and the safety control system of every-day maintenance of the factory which are important to prevent accidents in chemical plants. After explaining a background leading to the JCO accident, the author summarizes the lessons as follows: (1) changeable control system, (2) perfect provision of the manual considering the actual condition, and (3) clarification of the roles each played by the managers and the workers are most necessary and important. (S. Ohno)
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Machine learning of molecular electronic properties in chemical compound space
International Nuclear Information System (INIS)
Montavon, Grégoire; Müller, Klaus-Robert; Rupp, Matthias; Gobre, Vivekanand; Hansen, Katja; Tkatchenko, Alexandre; Vazquez-Mayagoitia, Alvaro; Anatole von Lilienfeld, O
2013-01-01
The combination of modern scientific computing with electronic structure theory can lead to an unprecedented amount of data amenable to intelligent data analysis for the identification of meaningful, novel and predictive structure–property relationships. Such relationships enable high-throughput screening for relevant properties in an exponentially growing pool of virtual compounds that are synthetically accessible. Here, we present a machine learning model, trained on a database of ab initio calculation results for thousands of organic molecules, that simultaneously predicts multiple electronic ground- and excited-state properties. The properties include atomization energy, polarizability, frontier orbital eigenvalues, ionization potential, electron affinity and excitation energies. The machine learning model is based on a deep multi-task artificial neural network, exploiting the underlying correlations between various molecular properties. The input is identical to ab initio methods, i.e. nuclear charges and Cartesian coordinates of all atoms. For small organic molecules, the accuracy of such a ‘quantum machine’ is similar, and sometimes superior, to modern quantum-chemical methods—at negligible computational cost. (paper)
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Machine learning of molecular electronic properties in chemical compound space
Montavon, Grégoire; Rupp, Matthias; Gobre, Vivekanand; Vazquez-Mayagoitia, Alvaro; Hansen, Katja; Tkatchenko, Alexandre; Müller, Klaus-Robert; Anatole von Lilienfeld, O.
2013-09-01
The combination of modern scientific computing with electronic structure theory can lead to an unprecedented amount of data amenable to intelligent data analysis for the identification of meaningful, novel and predictive structure-property relationships. Such relationships enable high-throughput screening for relevant properties in an exponentially growing pool of virtual compounds that are synthetically accessible. Here, we present a machine learning model, trained on a database of ab initio calculation results for thousands of organic molecules, that simultaneously predicts multiple electronic ground- and excited-state properties. The properties include atomization energy, polarizability, frontier orbital eigenvalues, ionization potential, electron affinity and excitation energies. The machine learning model is based on a deep multi-task artificial neural network, exploiting the underlying correlations between various molecular properties. The input is identical to ab initio methods, i.e. nuclear charges and Cartesian coordinates of all atoms. For small organic molecules, the accuracy of such a ‘quantum machine’ is similar, and sometimes superior, to modern quantum-chemical methods—at negligible computational cost.
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Recall and response time norms for English-Swahili word pairs and facts about Kenya.
Bangert, Ashley S; Heydarian, Nazanin M
2017-02-01
In the vast literature exploring learning, many studies have used paired-associate stimuli, despite the fact that real-world learning involves many different types of information. One of the most popular materials used in studies of learning has been a set of Swahili-English word pairs for which Nelson and Dunlosky (Memory 2; 325-335, 1994) published recall norms two decades ago. These norms involved use of the Swahili words as cues to facilitate recall of the English translation. It is unclear whether cueing in the opposite direction (from English to Swahili) would lead to symmetric recall performance. Bilingual research has suggested that translation in these two different directions involves asymmetric links that may differentially impact recall performance, depending on which language is used as the cue (Kroll & Stewart, Journal of Memory and Language 33; 149-174,1994). Moreover, the norms for these and many other learning stimuli have typically been gathered from college students. In the present study, we report recall accuracy and response time norms for Swahili words when they are cued by their English translations. We also report norms for a companion set of fact stimuli that may be used along with the Swahili-English word pairs to assess learning on a broader scale across different stimulus materials. Data were collected using Amazon's Mechanical Turk to establish a sample that was diverse in both age and ethnicity. These different, but related, stimulus sets will be applicable to studies of learning, metacognition, and memory in diverse samples.
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Directory of Open Access Journals (Sweden)
Susanta Dutta
2018-05-01
Full Text Available This paper presents an efficient quasi-oppositional chemical reaction optimization (QOCRO technique to find the feasible optimal solution of the multi objective optimal reactive power dispatch (RPD problem with flexible AC transmission system (FACTS device. The quasi-oppositional based learning (QOBL is incorporated in conventional chemical reaction optimization (CRO, to improve the solution quality and the convergence speed. To check the superiority of the proposed method, it is applied on IEEE 14-bus and 30-bus systems and the simulation results of the proposed approach are compared to those reported in the literature. The computational results reveal that the proposed algorithm has excellent convergence characteristics and is superior to other multi objective optimization algorithms. Keywords: Quasi-oppositional chemical reaction optimization (QOCRO, Reactive power dispatch (RPD, TCSC, SVC, Multi-objective optimization
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... Information » Glaucoma » Facts About Glaucoma Listen Facts About Glaucoma This information was developed by the National Eye ... is the best person to answer specific questions. Glaucoma Defined What is Glaucoma? Glaucoma is a group ...
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... for Every Season How to Choose the Best Skin Care Products In This Section Dermatologic Surgery What is dermatologic ... for Every Season How to Choose the Best Skin Care Products Chemical Peels Uses for Chemical Peels Learn more ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... Share the facts: Quick Facts Prevalence Mortality Caregivers Cost Special Report Alzheimer's in each state Quick Facts Share the facts: Prevalence The number of Americans living with Alzheimer's is growing — and growing fast. An ...
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Ghasem, Nayef
2016-07-01
This paper illustrates a teaching technique used in computer applications in chemical engineering employed for designing various unit operation processes, where the students learn about unit operations by designing them. The aim of the course is not to teach design, but rather to teach the fundamentals and the function of unit operation processes through simulators. A case study presenting the teaching method was evaluated using student surveys and faculty assessments, which were designed to measure the quality and effectiveness of the teaching method. The results of the questionnaire conclusively demonstrate that this method is an extremely efficient way of teaching a simulator-based course. In addition to that, this teaching method can easily be generalised and used in other courses. A student's final mark is determined by a combination of in-class assessments conducted based on cooperative and peer learning, progress tests and a final exam. Results revealed that peer learning can improve the overall quality of student learning and enhance student understanding.
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Just the Facts? Introductory Undergraduate Biology Courses Focus on Low-Level Cognitive Skills
Momsen, Jennifer L.; Long, Tammy M.; Wyse, Sara A.; Ebert-May, Diane
2010-01-01
Introductory biology courses are widely criticized for overemphasizing details and rote memorization of facts. Data to support such claims, however, are surprisingly scarce. We sought to determine whether this claim was evidence-based. To do so we quantified the cognitive level of learning targeted by faculty in introductory-level biology courses.…
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DEFF Research Database (Denmark)
Dau, Susanne
2016-01-01
Blended Learning has been implemented, evaluated and researched for the last decades within different educational areas and levels. Blended learning has been coupled with different epistemological understandings and learning theories, but the fundamental character and dimensions of learning...... in blended learning are still insufficient. Moreover, blended learning is a misleading concept described as learning, despite the fact that it fundamentally is an instructional and didactic approach (Oliver & Trigwell, 2005) addressing the learning environment (Inglis, Palipoana, Trenhom & Ward, 2011......) instead of the learning processes behind. Much of the existing research within the field seems to miss this perspective. The consequence is a lack of acknowledgement of the driven forces behind the context and the instructional design limiting the knowledge foundation of learning in blended learning. Thus...
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Supasorn, Saksri; Promarak, Vinich
2015-01-01
The main purpose of this study was to enhance student understanding of the scientific concepts of chemical reaction rate. Forty-four grade 11 students were the target group. The treatment tools were seven learning plans of 5E inquiry incorporated with an analogy learning approach during 15 hours of class time. In each learning plan, the students…
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Kuca, Kamil; Pohanka, Miroslav
2010-01-01
Chemical warfare agents are compounds of different chemical structures. Simple molecules such as chlorine as well as complex structures such as ricin belong to this group. Nerve agents, vesicants, incapacitating agents, blood agents, lung-damaging agents, riot-control agents and several toxins are among chemical warfare agents. Although the use of these compounds is strictly prohibited, the possible misuse by terrorist groups is a reality nowadays. Owing to this fact, knowledge of the basic properties of these substances is of a high importance. This chapter briefly introduces the separate groups of chemical warfare agents together with their members and the potential therapy that should be applied in case someone is intoxicated by these agents.
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Facts, values, and journalism.
Gilbert, Susan
2017-03-01
At a time of fake news, hacks, leaks, and unverified reports, many people are unsure whom to believe. How can we communicate in ways that make individuals question their assumptions and learn? My colleagues at The Hastings Center and many journalists and scientists are grappling with this question and have, independently, reached the same first step: recognize that facts can't be fully understood without probing their connection to values. "Explaining the basics is important, of course, but we also need to diversify our approach to the coverage of science-particularly as it intersects with the matrix of cultural, religious, social, and political values of our readers," said an article in Undark, an online magazine of science journalism. An editorial in Nature called for scientists to engage directly with citizens in debates over climate change and genome editing, noting that "the ethical issues can be critically dependent on the science, for example, in understanding where the boundaries between non-heritable and heritable genome modifications might be." We're here to help. © 2017 The Hastings Center.
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A Model for Learning Development
Kilfoil, W. R.
2008-01-01
This article looks at the way in which people perceive learning and the impact of these perceptions on teaching methods within the context of learning development in distance education. The context could, in fact, be any type of teaching and learning environment. The point is to balance approaches to teaching and learning depending on student…
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Conditions for Productive Learning in Network Learning Environments
DEFF Research Database (Denmark)
Ponti, M.; Dirckinck-Holmfeld, Lone; Lindström, B.
2004-01-01
are designed without a deep understanding of the pedagogical, communicative and collaborative conditions embedded in networked learning. Despite the existence of good theoretical views pointing to a social understanding of learning, rather than a traditional individualistic and information processing approach......The Kaleidoscope1 Jointly Executed Integrating Research Project (JEIRP) on Conditions for Productive Networked Learning Environments is developing and elaborating conceptual understandings of Computer Supported Collaborative Learning (CSCL) emphasizing the use of cross-cultural comparative......: Pedagogical design and the dialectics of the digital artefacts, the concept of collaboration, ethics/trust, identity and the role of scaffolding of networked learning environments. The JEIRP is motivated by the fact that many networked learning environments in various European educational settings...
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Mapping Students’ Informal Learning Using Personal Learning Environment
Directory of Open Access Journals (Sweden)
Jelena Anđelković Labrović
2014-07-01
Full Text Available Personal learning environments are a widely spared ways of learning, especially for the informal learning process. The aim of this research is to identify the elements of studens’ personal learning environment and to identify the extent to which students use modern technology for learning as part of their non-formal learning. A mapping system was used for gathering data and an analysis of percentages and frequency counts was used for data analysis in the SPSS. The results show that students’ personal learning environment includes the following elements: Wikipedia, Google, YouTube and Facebook in 75% of all cases, and an interesting fact is that all of them belong to a group of Web 2.0 tools and applications.
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The Quest for Greater Chemical Energy Storage: A Deceiving Game of Nanometer Manipulation
Lindsay, C. Michael
2015-06-01
It is well known that modern energetic materials based on organic chemistry have nearly reached a plateau in performance with only ~ 40% improvement realized over the past half century. This fact has stimulated research on alternative chemical energy storage schema in various US government funded ``High Energy Density Materials'' (HEDM) programs since the 1950's. These efforts have examined a wide range of phenomena such as free radical stabilization, metallic hydrogen, metastable helium, polynitrogens, extended molecular solids, nanothermites, and others. In spite of the substantial research investments, significant improvements in energetic material performance have not been forthcoming. In this talk we will survey various fundamental modes of chemical energy storage, lesson's learned in the various HEDM programs, and areas that are being explored currently. A recurring theme in all of this work is the challenge to successfully manipulate and stabilize matter at the ~ 1 nm scale.
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Neuronal avalanches and learning
Energy Technology Data Exchange (ETDEWEB)
Arcangelis, Lucilla de, E-mail: dearcangelis@na.infn.it [Department of Information Engineering and CNISM, Second University of Naples, 81031 Aversa (Italy)
2011-05-01
Networks of living neurons represent one of the most fascinating systems of biology. If the physical and chemical mechanisms at the basis of the functioning of a single neuron are quite well understood, the collective behaviour of a system of many neurons is an extremely intriguing subject. Crucial ingredient of this complex behaviour is the plasticity property of the network, namely the capacity to adapt and evolve depending on the level of activity. This plastic ability is believed, nowadays, to be at the basis of learning and memory in real brains. Spontaneous neuronal activity has recently shown features in common to other complex systems. Experimental data have, in fact, shown that electrical information propagates in a cortex slice via an avalanche mode. These avalanches are characterized by a power law distribution for the size and duration, features found in other problems in the context of the physics of complex systems and successful models have been developed to describe their behaviour. In this contribution we discuss a statistical mechanical model for the complex activity in a neuronal network. The model implements the main physiological properties of living neurons and is able to reproduce recent experimental results. Then, we discuss the learning abilities of this neuronal network. Learning occurs via plastic adaptation of synaptic strengths by a non-uniform negative feedback mechanism. The system is able to learn all the tested rules, in particular the exclusive OR (XOR) and a random rule with three inputs. The learning dynamics exhibits universal features as function of the strength of plastic adaptation. Any rule could be learned provided that the plastic adaptation is sufficiently slow.
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Neuronal avalanches and learning
International Nuclear Information System (INIS)
Arcangelis, Lucilla de
2011-01-01
Networks of living neurons represent one of the most fascinating systems of biology. If the physical and chemical mechanisms at the basis of the functioning of a single neuron are quite well understood, the collective behaviour of a system of many neurons is an extremely intriguing subject. Crucial ingredient of this complex behaviour is the plasticity property of the network, namely the capacity to adapt and evolve depending on the level of activity. This plastic ability is believed, nowadays, to be at the basis of learning and memory in real brains. Spontaneous neuronal activity has recently shown features in common to other complex systems. Experimental data have, in fact, shown that electrical information propagates in a cortex slice via an avalanche mode. These avalanches are characterized by a power law distribution for the size and duration, features found in other problems in the context of the physics of complex systems and successful models have been developed to describe their behaviour. In this contribution we discuss a statistical mechanical model for the complex activity in a neuronal network. The model implements the main physiological properties of living neurons and is able to reproduce recent experimental results. Then, we discuss the learning abilities of this neuronal network. Learning occurs via plastic adaptation of synaptic strengths by a non-uniform negative feedback mechanism. The system is able to learn all the tested rules, in particular the exclusive OR (XOR) and a random rule with three inputs. The learning dynamics exhibits universal features as function of the strength of plastic adaptation. Any rule could be learned provided that the plastic adaptation is sufficiently slow.
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Eymur, Gülüzar; Geban, Ömer
2017-01-01
The main purpose of this study was to investigate the effects of cooperative learning based on conceptual change approach instruction on ninth-grade students' understanding in chemical bonding concepts compared to traditional instruction. Seventy-two ninth-grade students from two intact chemistry classes taught by the same teacher in a public high…
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Brain Aneurysm Statistics and Facts
... Statistics and Facts A- A A+ Brain Aneurysm Statistics and Facts An estimated 6 million people in ... Understanding the Brain Warning Signs/ Symptoms Brain Aneurysm Statistics and Facts Seeking Medical Attention Risk Factors Aneurysm ...
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Energy Technology Data Exchange (ETDEWEB)
Singh, Kunwar P., E-mail: kpsingh_52@yahoo.com; Gupta, Shikha
2014-03-15
Ensemble learning approach based decision treeboost (DTB) and decision tree forest (DTF) models are introduced in order to establish quantitative structure–toxicity relationship (QSTR) for the prediction of toxicity of 1450 diverse chemicals. Eight non-quantum mechanical molecular descriptors were derived. Structural diversity of the chemicals was evaluated using Tanimoto similarity index. Stochastic gradient boosting and bagging algorithms supplemented DTB and DTF models were constructed for classification and function optimization problems using the toxicity end-point in T. pyriformis. Special attention was drawn to prediction ability and robustness of the models, investigated both in external and 10-fold cross validation processes. In complete data, optimal DTB and DTF models rendered accuracies of 98.90%, 98.83% in two-category and 98.14%, 98.14% in four-category toxicity classifications. Both the models further yielded classification accuracies of 100% in external toxicity data of T. pyriformis. The constructed regression models (DTB and DTF) using five descriptors yielded correlation coefficients (R{sup 2}) of 0.945, 0.944 between the measured and predicted toxicities with mean squared errors (MSEs) of 0.059, and 0.064 in complete T. pyriformis data. The T. pyriformis regression models (DTB and DTF) applied to the external toxicity data sets yielded R{sup 2} and MSE values of 0.637, 0.655; 0.534, 0.507 (marine bacteria) and 0.741, 0.691; 0.155, 0.173 (algae). The results suggest for wide applicability of the inter-species models in predicting toxicity of new chemicals for regulatory purposes. These approaches provide useful strategy and robust tools in the screening of ecotoxicological risk or environmental hazard potential of chemicals. - Graphical abstract: Importance of input variables in DTB and DTF classification models for (a) two-category, and (b) four-category toxicity intervals in T. pyriformis data. Generalization and predictive abilities of the
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International Nuclear Information System (INIS)
Singh, Kunwar P.; Gupta, Shikha
2014-01-01
Ensemble learning approach based decision treeboost (DTB) and decision tree forest (DTF) models are introduced in order to establish quantitative structure–toxicity relationship (QSTR) for the prediction of toxicity of 1450 diverse chemicals. Eight non-quantum mechanical molecular descriptors were derived. Structural diversity of the chemicals was evaluated using Tanimoto similarity index. Stochastic gradient boosting and bagging algorithms supplemented DTB and DTF models were constructed for classification and function optimization problems using the toxicity end-point in T. pyriformis. Special attention was drawn to prediction ability and robustness of the models, investigated both in external and 10-fold cross validation processes. In complete data, optimal DTB and DTF models rendered accuracies of 98.90%, 98.83% in two-category and 98.14%, 98.14% in four-category toxicity classifications. Both the models further yielded classification accuracies of 100% in external toxicity data of T. pyriformis. The constructed regression models (DTB and DTF) using five descriptors yielded correlation coefficients (R 2 ) of 0.945, 0.944 between the measured and predicted toxicities with mean squared errors (MSEs) of 0.059, and 0.064 in complete T. pyriformis data. The T. pyriformis regression models (DTB and DTF) applied to the external toxicity data sets yielded R 2 and MSE values of 0.637, 0.655; 0.534, 0.507 (marine bacteria) and 0.741, 0.691; 0.155, 0.173 (algae). The results suggest for wide applicability of the inter-species models in predicting toxicity of new chemicals for regulatory purposes. These approaches provide useful strategy and robust tools in the screening of ecotoxicological risk or environmental hazard potential of chemicals. - Graphical abstract: Importance of input variables in DTB and DTF classification models for (a) two-category, and (b) four-category toxicity intervals in T. pyriformis data. Generalization and predictive abilities of the
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Teaching English as A Foreign Language at Madrasah Ibtidaiyyah: Facts and Challenges
Directory of Open Access Journals (Sweden)
Wakhid Nashruddin
2015-06-01
Full Text Available The mastery of English as a tool of communication among nations, cultures, and people around the globe is an undeniable fact. This is just like an unstoppable virus spreading worldwide. It is rather difficult to emerge new languages to stop or even just to slow down the wide use of English. Islam world also needs to follow this by equipping its people with English as a communication tool. As Arabic is used for the communication inside Islam, English is needed to communicate Islam to other people around the earth both to Muslims or Non-Muslims. Teaching English has become an increasingly significant element in Islamic education. For this, the issue of teaching English at madrasah is an important concern for practitioners in the area of TEFL in Islamic institutions. This paper will explore the writer’s ten-year experience in teaching English at a madrasah ibtidaiyyah in Cirebon, West Java-Indonesia. The conditions that will be pictured are the culture, the students, the teaching and learning process, and the outcome of the current practices in madrasah ibtidaiyyah, mainly in the area of TEFL. Then, all these conditions will be contrasted to up to date research findings and theories so that the facts and the challenges can be clearly seen. This will also be seen from the perspective of current curriculum in Indonesia, namely curriculum 2013, which bears contradictions with the presence of it. In fact, the curriculum 2013 eliminates English as a subject learned at primary school level. What madrasah ibtidaiyyah will do in the next coming years can direct the expected outcome of the teaching of English at this level. Kinds of program that can be designed to empower the state of English mastery are an essential case to discuss. This all facts and challenges can provide insights so that people working in and with madrasah ibtidaiyyah understand and are ready to face the global communication era.
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The Evolution of Massive Stars: a Selection of Facts and Questions
Vanbeveren, D.
In the present paper we discuss a selection of facts and questions related to observations and evolutionary calculations of massive single stars and massive stars in interacting binaries. We focus on the surface chemical abundances, the role of stellar winds, the early Be-stars, the high mass X-ray binaries and the effects of rotation on stellar evolution. Finally, we present an unconventionally formed object scenario (UFO-scenario) of WR binaries in dense stellar environments.
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... Submit What's this? Submit Button Key Facts About Tularemia Recommend on Facebook Tweet Share Compartir This fact ... and Prevention (CDC) Tularemia Web site . What is Tularemia? Tularemia is a potentially serious illness that occurs ...
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... Diseases Infographic Prevention and Control of Meningococcal Disease Meningitis Myths and Facts Myth: Meningococcal disease is easy ... infected person, such as shaking hands. Fact: Meningococcal meningitis is spread through air droplets and direct contact ...
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Chemical Agents: Personal Cleaning and Disposal of Contaminated Clothing
... What CDC is Doing Blog: Public Health Matters Chemical Agents: Facts About Personal Cleaning and Disposal of ... on Facebook Tweet Share Compartir Some kinds of chemical accidents or attacks may cause you to come ...
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... That People Abuse » Cocaine (Coke, Crack) Facts Cocaine (Coke, Crack) Facts Listen Cocaine is a white ... 69 KB) "My life was built around getting cocaine and getting high." ©istock.com/ Marjot Stacey is ...
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... Archive STDs Home Page Bacterial Vaginosis (BV) Chlamydia Gonorrhea Genital Herpes Hepatitis HIV/AIDS & STDs Human Papillomavirus ( ... sheet Pelvic Inflammatory Disease (PID) – CDC fact sheet Gonorrhea – CDC fact sheet STDs Home Page Bacterial Vaginosis ( ...
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Multiple chemical sensitivity, en veldefineret lidelse?
DEFF Research Database (Denmark)
Kolstad, Henrik A.; Silberschmidt, Martin; Nielsen, Jesper Bo
2006-01-01
, even though a number of theories have been proposed. The authors of this review conclude that this is a functional condition. These patients need information and treatment in accordance with this fact. Instead of being advised how to avoid exposure to chemicals, they should be properly trained...... in appropriate confrontation with the chemicals encountered in everyday life....
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Spiteller, Peter
2015-07-01
Fungi are widespread in nature and have conquered nearly every ecological niche. Fungi occur not only in terrestrial but also in freshwater and marine environments. Moreover, fungi are known as a rich source of secondary metabolites. Despite these facts, the ecological role of many of these metabolites is still unknown and the chemical ecology of fungi has not been investigated systematically so far. This review intends to present examples of the various chemical interactions of fungi with other fungi, plants, bacteria and animals and to give an overview of the current knowledge of fungal chemical ecology.
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... Stroke Heart Disease Cholesterol Salt Million Hearts® WISEWOMAN High Blood Pressure Facts Recommend on Facebook Tweet Share Compartir On ... Top of Page CDC Fact Sheets Related to High Blood Pressure High Blood Pressure Pulmonary Hypertension Heart Disease Signs ...
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E-Learning--The McDonaldization of Education
Carroll, Noel
2013-01-01
E-learning has become one of the biggest phenomena of educational literature in recent years. Although the potential promise of e-learning is often expected within the process of learning, much of the emphasis is in fact on the electronic issues to facilitate learning, with little regard for its consequences on the learning process. Surprising,…
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Couch, Jene P.
1994-01-01
Discusses the use and construction of "fact fans," fun and easy-to-make manipulatives that provide elementary school students with the opportunity to explore mathematics operations being studied in the classroom and to practice addition, subtraction, multiplication, and division facts. (BB)
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Houghton, Luke; Ruth, Alison
2010-01-01
Deep and shallow learner approaches are useful for different purposes. Shallow learning can be good where fact memorization is appropriate, learning how to swim or play the guitar for example. Deep learning is much more appropriate when the learning material present involves going beyond simple facts and into what lies below the surface. When…
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John Searle on Institutional Facts
Directory of Open Access Journals (Sweden)
m Abdullahi
2010-09-01
Here we argue that the essence of institutional facts is status functions. Humans recognize these functions which contain a set of deontic powers through collective intentionality. Therefore, institutional facts are ontologically subjective and epistemologically objective. Nevertheless, objectivity of institutional facts totally depends on language which itself is a fundamental institution for other institutions.
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Learning Organic Chemistry Through Natural Products
Indian Academy of Sciences (India)
Higher Learning. ... The Series on "learning Organic Chemistry Through Natural Products". Nature is a remarkable ... skeletal structure to the interior electronic configu- ration ... Among the advantages of this approach are the fact that unlike the.
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Learning Orientations of IT Higher Education Students in UAE University
Al-Qirim, Nabeel; Tarhini, Ali; Rouibah, Kamel; Mohamd, Serhani; Yammahi, Aishah Rashid; Yammahi, Maraim Ahmed
2018-01-01
This research examines the learning preferences of students in UAE University (UAEU). The uniqueness of this research emanates from the fact that no prior research examined this area from the UAE's perspective. Thus, this research embarks on the fact that student learning strategies vary from one country to another due to many factors. This…
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International Nuclear Information System (INIS)
Hansen, Katja; Biegler, Franziska; Ramakrishnan, Raghunathan; Pronobis, Wiktor; Lilienfeld, O. Anatole von; Müller, Klaus-Robert; Tkatchenko, Alexandre
2015-01-01
Simultaneously accurate and efficient prediction of molecular properties throughout chemical compound space is a critical ingredient toward rational compound design in chemical and pharmaceutical industries. Aiming toward this goal, we develop and apply a systematic hierarchy of efficient empirical methods to estimate atomization and total energies of molecules. These methods range from a simple sum over atoms, to addition of bond energies, to pairwise interatomic force fields, reaching to the more sophisticated machine learning approaches that are capable of describing collective interactions between many atoms or bonds. In the case of equilibrium molecular geometries, even simple pairwise force fields demonstrate prediction accuracy comparable to benchmark energies calculated using density functional theory with hybrid exchange-correlation functionals; however, accounting for the collective many-body interactions proves to be essential for approaching the 'holy grail' of chemical accuracy of 1 kcal/mol for both equilibrium and out-of-equilibrium geometries. This remarkable accuracy is achieved by a vectorized representation of molecules (so-called Bag of Bonds model) that exhibits strong nonlocality in chemical space. The same representation allows us to predict accurate electronic properties of molecules, such as their polarizability and molecular frontier orbital energies
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Finding Chemical Structures Corresponding to a Set of Coordinates in Chemical Descriptor Space.
Miyao, Tomoyuki; Funatsu, Kimito
2017-08-01
When chemical structures are searched based on descriptor values, or descriptors are interpreted based on values, it is important that corresponding chemical structures actually exist. In order to consider the existence of chemical structures located in a specific region in the chemical space, we propose to search them inside training data domains (TDDs), which are dense areas of a training dataset in the chemical space. We investigated TDDs' features using diverse and local datasets, assuming that GDB11 is the chemical universe. These two analyses showed that considering TDDs gives higher chance of finding chemical structures than a random search-based method, and that novel chemical structures actually exist inside TDDs. In addition to those findings, we tested the hypothesis that chemical structures were distributed on the limited areas of chemical space. This hypothesis was confirmed by the fact that distances among chemical structures in several descriptor spaces were much shorter than those among randomly generated coordinates in the training data range. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
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Deep Learning through Concept-Based Inquiry
Donham, Jean
2010-01-01
Learning in the library should present opportunities to enrich student learning activities to address concerns of interest and cognitive complexity, but these must be tasks that call for in-depth analysis--not merely gathering facts. Library learning experiences need to demand enough of students to keep them interested and also need to be…
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Chemical Data Reporting: Factors to Consider When Using the Database
The 2012 Chemical Data Reporting (CDR) database provides non-confidential information on the manufacture, import, processing, and use of chemicals in commerce at national and regional levels. This fact sheet highlights factors to consider.
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Chemical defences against herbivores
DEFF Research Database (Denmark)
Pavia, Henrik; Baumgartner, Finn; Cervin, Gunnar
2012-01-01
This chapter focuses on the recent and emerging research involving chemical defences against herbivory in aquatic primary producers. It provides an overview of plant chemical defence theories and highlights recent research on aquatic primary producers addressing a number of aspects...... of these theories, concluding with new chemical approaches to tackle the questions and suggestions for future research directions. It explains that aquatic primary producers are a taxonomically and functionally diverse group of organisms that includes macroalgae, microalgae, and vascular plants. It also states...... that despite the fact that aquatic primary producers constitute a large and diverse group of organisms that vary in their evolutionary histories, selection for chemical defences to resist or reduce grazing are commonplace across the phylogenetic boundaries....
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Children Can Learn New Facts Equally Well From Interactive Media Versus Face to Face Instruction
Kwok, Kristine; Ghrear, Siba; Li, Vivian; Haddock, Taeh; Coleman, Patrick; Birch, Susan A. J.
2016-01-01
Today’s children have more opportunities than ever before to learn from interactive technology, yet experimental research assessing the efficacy of children’s learning from interactive media in comparison to traditional learning approaches is still quite scarce. Moreover, little work has examined the efficacy of using touch-screen devices for research purposes. The current study compared children’s rate of learning factual information about animals during a face-to-face instruction from an ad...
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Vitamin and Mineral Supplement Fact Sheets
... website Submit Search NIH Office of Dietary Supplements Vitamin and Mineral Supplement Fact Sheets Search the list ... Supplements: Background Information Botanical Dietary Supplements: Background Information Vitamin and Mineral Fact Sheets Botanical Supplement Fact Sheets ...
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Five Indisputable Facts on Modern Power Systems
Energy Technology Data Exchange (ETDEWEB)
Bloom, Aaron P [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Brinkman, Gregory L [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lopez, Anthony J [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Holttinen, Hannele [VTT Technical Research Centre of Finland; Helman, Udi [Helman Analytics; Summers, Kate [Pacific Hydro; Bakke, Jordan [Midcontinent Independent System Operator
2017-08-01
This presentation overviews five indisputable facts about modern power systems: Fact one: The grid can handle more renewable generation than previously thought. Fact two: Geographic and resource diversity provide additional reliability to the system. Fact three: Wind and solar forecasting provide significant value. Fact four: Our electric power markets were not originally designed for variable renewables -- but they could be adapted. Fact five: Modern power electronics are creating new sources of essential reliability services.
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Bilgin, Ibrahim; Geban, Omer
2006-01-01
The purpose of this study is to investigate the effects of the cooperative learning approach based on conceptual change conditions over traditional instruction on 10th grade students' conceptual understanding and achievement of computational problems related to chemical equilibrium concepts. The subjects of this study consisted of 87 tenth grade…
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Active Learning Using Arbitrary Binary Valued Queries
1990-10-01
active learning in the sense that the learner has complete choice in the information received. Specifically, we allow the learner to ask arbitrary yes...no questions. We consider both active learning under a fixed distribution and distribution-free active learning . In the case of active learning , the...a concept class is actively learnable iff it is finite, so that active learning is in fact less powerful than the usual passive learning model. We
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Full Text Available ... Nicotine Facts Other Drugs of Abuse What is Addiction? What are some signs and symptoms of someone ... use problem? How Does Drug Use Become an Addiction? What Makes Someone More Likely to Get Addicted ...
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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…
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Facts about Anophthalmia and Microphthalmia
... Facts About Anophthalmia and Microphthalmia Listen Facts About Anophthalmia and Microphthalmia This information was developed by the ... is the best person to answer specific questions. Anophthalmia and Microphthalmia Defined What are anophthalmia and microphthalmia? ...
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Field Audit Checklist Tool (FACT)
Download EPA's The Field Audit Checklist Tool (FACT). FACT is intended to help auditors perform field audits, to easily view monitoring plan, quality assurance and emissions data and provides access to data collected under MATS.
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Catalogue of Energy Efficiency Measures for France: descriptive fact sheets
International Nuclear Information System (INIS)
2012-06-01
ADEME wished to learn about existing effective energy efficiency measures implemented outside of France, whether cross-sectoral or targeted at a specific sector (industry, transport, buildings or agriculture). The objective of this survey was to determine whether any of these measures could be applied in France, with the goal of holding down the growth of energy consumption. This survey has led to the writing of a catalog of 53 two-page fact sheets describing the measures identified as interesting for France. These measures were analysed via classic criteria of evaluation such as cost-efficiency or impact, allowing to highlight the most successful measures for the French territory
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Alzheimer's Disease Facts and Figures
Full Text Available ... Home Text size: A A A 2018 Alzheimer's Disease Facts and Figures Download the full report: Download ... about memory loss? KNOW THE 10 SIGNS Alzheimer's Disease Facts in Each State The 2018 Alzheimer's Disease ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... THE 10 SIGNS Alzheimer's Disease Facts in Each State The 2018 Alzheimer's Disease Facts and Figures report ... on the impact of this disease in every state across the nation. Click below to see the ...
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Vehicle Technologies’ Fact of the Week 2013
Energy Technology Data Exchange (ETDEWEB)
Davis, Stacy Cagle [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Diegel, Susan W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Moore, Sheila A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Boundy, Robert Gary [Roltek, Inc., Clinton, TN (United States)
2014-04-01
Each week the U.S. Department of Energy’s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week’s Fact is available on the VTO homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2013. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.
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Vehicle Technologies Fact of the Week 2013
Energy Technology Data Exchange (ETDEWEB)
Davis, Stacy Cagle [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Williams, Susan E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Moore, Sheila A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Boundy, Robert Gary [Roltek, Inc., Clinton, TN (United States)
2014-03-01
Each week the U.S. Department of Energy s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week s Fact is available on the VTO homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2013. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.
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Vehicle Technologies Fact of the Week 2015
Energy Technology Data Exchange (ETDEWEB)
Davis, Stacy C. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Diegel, Susan W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Moore, Sheila A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Boundy, Robert G. [Roltek, Inc., Clinton, TN (United States)
2016-05-01
Each week the U.S. Department of Energy s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week s Fact is available on the VTO homepage, but older Facts (back to 2009) are archived and still available at: http://energy.gov/eere/vehicles/current-and-past-years-facts-week. Each Fact of the Week website page includes a link to an Excel file. That file contains the data from the Supporting Information section of the page so that researchers can easily use data from the Fact of the Week in their work. Beginning in August of 2015, a subscription list is available on the DOE website so that those interested can sign up for an email to be sent each Monday which includes the text and graphic from the current week s Fact. This report is a compilation of the Facts that were posted during calendar year 2015. The Facts were created, written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.
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Logical obstacles in learning planetary motion
Dileep, V.; Sathe, D. V.
Daniel Schaffer wrote now-a-days scientists and particularly theoretical physicists are not held in unquestioned esteem in his editorial This became the starting point of my presentation which was dedicated to the memory of Abdus Salam 1 Had he survived to witness the IYP he would have become surprised on knowing that Frank Wilczek had maximum trouble in learning classical mechanics 2 These facts require us to restudy learning O level physics from the logical point of view - in order to attract promising young students to take up challenges of physics and astronomy of the 21 st century Newton s laws of motion are known for more than 300 years and so there should not be any problems in learning and teaching these laws now in the 21 st century But findings of educators reported in the last 30 years show that there are some serious and global problems I have shown that there are some logical obstacles which make adverse effect on the comprehension of circular motion and related topics 3 In this presentation relevant aspects are discussed References begin enumerate item D V Sathe August 2001 Chemical Education International http www iupac org publications cei vol2 0201x0026 html item Frank Wilczek October 2004 Physics Today p 11 item D V Sathe December 2001 COSPAR Info Bulletin 152 p 53 end enumerate
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Rubella - Fact Sheet for Parents
... and 4 through 6 years Fact Sheet for Parents Color [2 pages] Español: Rubéola The best way ... according to the recommended schedule. Fact Sheets for Parents Diseases and the Vaccines that Prevent Them Chickenpox ...
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International Nuclear Information System (INIS)
Myers, T.J.; Kytoemaa, H.K.; Smith, T.R.
2007-01-01
Fiberglass reinforced plastic (FRP) composite materials are often used to construct tanks, piping, scrubbers, beams, grating, and other components for use in corrosive environments. While FRP typically offers superior and cost effective corrosion resistance relative to other construction materials, the glass fibers traditionally used to provide the structural strength of the FRP can be susceptible to attack by the corrosive environment. The structural integrity of traditional FRP components in corrosive environments is usually dependent on the integrity of a corrosion-resistant barrier, such as a resin-rich layer containing corrosion resistant glass fibers. Without adequate protection, FRP components can fail under loads well below their design by an environmental stress-corrosion cracking (ESCC) mechanism when simultaneously exposed to mechanical stress and a corrosive chemical environment. Failure of these components can result in significant releases of hazardous substances into plants and the environment. In this paper, we present two case studies where fiberglass components failed due to ESCC at small chemical manufacturing facilities. As is often typical, the small chemical manufacturing facilities relied largely on FRP component suppliers to determine materials appropriate for the specific process environment and to repair damaged in-service components. We discuss the lessons learned from these incidents and precautions companies should take when interfacing with suppliers and other parties during the specification, design, construction, and repair of FRP components in order to prevent similar failures and chemical releases from occurring in the future
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Alzheimer's Disease Facts and Figures
Full Text Available ... Dementia >> Home Text size: A A A 2018 Alzheimer's Disease Facts and Figures Download the full report: Download ... worried about memory loss? KNOW THE 10 SIGNS Alzheimer's Disease Facts in Each State The 2018 Alzheimer's Disease ...
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Directory of Open Access Journals (Sweden)
Li Zhen
2008-05-01
Full Text Available Abstract Background Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also reduce the need for animal testing. Several public efforts are aimed at discovering patterns or classifiers in high-dimensional bioactivity space that predict tissue, organ or whole animal toxicological endpoints. Supervised machine learning is a powerful approach to discover combinatorial relationships in complex in vitro/in vivo datasets. We present a novel model to simulate complex chemical-toxicology data sets and use this model to evaluate the relative performance of different machine learning (ML methods. Results The classification performance of Artificial Neural Networks (ANN, K-Nearest Neighbors (KNN, Linear Discriminant Analysis (LDA, Naïve Bayes (NB, Recursive Partitioning and Regression Trees (RPART, and Support Vector Machines (SVM in the presence and absence of filter-based feature selection was analyzed using K-way cross-validation testing and independent validation on simulated in vitro assay data sets with varying levels of model complexity, number of irrelevant features and measurement noise. While the prediction accuracy of all ML methods decreased as non-causal (irrelevant features were added, some ML methods performed better than others. In the limit of using a large number of features, ANN and SVM were always in the top performing set of methods while RPART and KNN (k = 5 were always in the poorest performing set. The addition of measurement noise and irrelevant features decreased the classification accuracy of all ML methods, with LDA suffering the greatest performance degradation. LDA performance is especially sensitive to the use of feature selection. Filter-based feature selection generally improved performance, most strikingly for LDA. Conclusion We have developed a novel simulation model to evaluate machine learning methods for the
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Space, time, and chemical risk assessment
Exposure to manufactured chemicals is a fact of contemporary life for both humans and wildlife. In many cases, these exposures occur at safe environmental concentrations. However, spectacular exceptions have occurred (e.g., DDT and eggshell thinning, monocrotophos and Swainson&r...
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Learning a Language with Dyslexia
Hascoet, Valerie
2016-01-01
It is commonplace to discourage people affected with dyslexia from learning foreign languages. But the condition occurs on a wide spectrum affecting individuals in unique ways. That is why directing dyslexic people away from language learning solely on the basis of their dyslexia, is scientifically unfounded. In this article, we will take a linguistic perspective on this issue, that is to say that we will present the scientific facts about language learning and dyslexia.
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Are we reaching the target audience? Evaluation of a fish fact sheet.
Burger, J; Waishwell, L
2001-09-28
According to the US Environmental Protection Agency, over 16% of freshwater lakes and 7% of the rivers are under some sort of fish consumption advisory because of the presence of toxic chemicals. There is considerable interest in the issuing of information, advisories, and fact sheets concerning the consumption of wild-caught fish from contaminated waters, and in the actual consumption patterns of subsistence and recreational anglers. Despite the large number of consumption advisories issued by state agencies, there is little information on how these advisories, or other forms of risk communication, are perceived by target audiences, notably fishermen and women of child-bearing age. The states of South Carolina and Georgia issue consumption advisories for fish from the Savannah River, among other sites. To gain a greater insight into the perception of anglers about a supplemental fish fact sheet jointly developed by South Carolina, Georgia, federal agencies, and the Consortium for Risk Evaluation with Stakeholder Participation, we interviewed fisherman along the Savannah River. The objectives were to determine: (1) whether they had previously read the Fish Fact Sheet or had heard about the consumption advisories; (2) what major message they obtained from the sheet; (3) who they felt the fact sheet was aimed at, and who should get the Fish Fact Sheet; (4) who should be concerned about health risks from consuming the fish; and (5) the best method of disseminating such information. We interviewed 92 fishermen (37% black, 62% white) during the fishing season of 1999. Half had heard some information about consumption advisories, mainly from the media (64%). The study concluded that there were no ethnic differences in whether they had heard about the advisories, understood the major message of the fact sheet, felt they could reduce their risk from consuming the fish, or felt that it made a difference which agency issued the fact sheet. There were significant ethnic
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Aldashev, Gani; Navarra, Cecilia
2017-01-01
This paper systematizes the results of the empirical literature on development non-governmental organizations (NGOs), drawing both from quantitative and qualitative analyses, and constructs a set of basic facts about these organizations. These basic facts concern the size of the development NGO sector and its evolution, the funding of NGOs, the allocation of NGO aid and projects across beneficiary countries, the relationship of NGOs with beneficiaries, and the phenomenon of globalization of d...
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Sustainable Chemical Processes and Products. New Design Methodology and Design Tools
Korevaar, G.
2004-01-01
The current chemical industry is not sustainable, which leads to the fact that innovation of chemical processes and products is too often hazardous for society in general and the environment in particular. It really is a challenge to implement sustainability considerations in the design activities of chemical engineers. Therefore, the main question of this thesis is: how can a trained chemical engineer develop a conceptual design of a chemical process or a chemical product in such a way that ...
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International Nuclear Information System (INIS)
Ericksen, E.
1999-01-01
Interested in learning about innovative ways to improve the efficiency of your plant's steam, electric motor, and compressed air systems? This US Department of Energy Office of Industrial Technologies fact sheet offers information regarding training sessions, teleconferences, and various training materials to teach you and your company ways to reduce energy use, save money, and reduce waste and pollution through system optimization
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Effect of Kolb's Learning Styles under Inductive Guided-Inquiry Learning on Learning Outcomes
Sudria, Ida Bagus Nyoman; Redhana, I. Wayan; Kirna, I. Made; Aini, Diah
2018-01-01
This study aimed to examine the effect of Kolb's learning styles on chemical learning activities and achievement of reaction rate taught by inductive guided inquiry learning. The population was eleventh grade Science students of a senior secondary school having relatively good academic input based on national testing results in Bali, Indonesia.…
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Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar
2014-11-01
Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.
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Steinheimer, Margaret
1993-01-01
Describes an award-winning bulletin board for introducing a unit on reptiles. This interactive bulletin board contains fun facts and counters common misconceptions about reptiles. Twelve true-false statements are hidden behind pull-up flaps. Four pictures ask students to identify the difference between often-confused animals. (PR)
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Children with Learning Disorders
... therapy and help parents assist their child in maximizing his or her learning potential. Sometimes individual or ... be included in material presented for sale or profit. All Facts can be viewed and printed from ...
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Bias-Free Chemically Diverse Test Sets from Machine Learning.
Swann, Ellen T; Fernandez, Michael; Coote, Michelle L; Barnard, Amanda S
2017-08-14
Current benchmarking methods in quantum chemistry rely on databases that are built using a chemist's intuition. It is not fully understood how diverse or representative these databases truly are. Multivariate statistical techniques like archetypal analysis and K-means clustering have previously been used to summarize large sets of nanoparticles however molecules are more diverse and not as easily characterized by descriptors. In this work, we compare three sets of descriptors based on the one-, two-, and three-dimensional structure of a molecule. Using data from the NIST Computational Chemistry Comparison and Benchmark Database and machine learning techniques, we demonstrate the functional relationship between these structural descriptors and the electronic energy of molecules. Archetypes and prototypes found with topological or Coulomb matrix descriptors can be used to identify smaller, statistically significant test sets that better capture the diversity of chemical space. We apply this same method to find a diverse subset of organic molecules to demonstrate how the methods can easily be reapplied to individual research projects. Finally, we use our bias-free test sets to assess the performance of density functional theory and quantum Monte Carlo methods.
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Baudelot, Christian
2017-04-01
Treating suicide as a social fact means disregarding its individual and dramatic dimensions. Sociologists do not reason on the basis of specific cases but by studying the variations, in space and time, of suicide rates. Their contribution relates essentially to a renewed perspective on society: suicide is in fact a very accurate indicator of the intensity and quality of the bonds which unite or isolate individuals in a society. Copyright © 2017 Elsevier Masson SAS. All rights reserved.
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Zhang, Li; Ai, Haixin; Chen, Wen; Yin, Zimo; Hu, Huan; Zhu, Junfeng; Zhao, Jian; Zhao, Qi; Liu, Hongsheng
2017-05-18
Carcinogenicity refers to a highly toxic end point of certain chemicals, and has become an important issue in the drug development process. In this study, three novel ensemble classification models, namely Ensemble SVM, Ensemble RF, and Ensemble XGBoost, were developed to predict carcinogenicity of chemicals using seven types of molecular fingerprints and three machine learning methods based on a dataset containing 1003 diverse compounds with rat carcinogenicity. Among these three models, Ensemble XGBoost is found to be the best, giving an average accuracy of 70.1 ± 2.9%, sensitivity of 67.0 ± 5.0%, and specificity of 73.1 ± 4.4% in five-fold cross-validation and an accuracy of 70.0%, sensitivity of 65.2%, and specificity of 76.5% in external validation. In comparison with some recent methods, the ensemble models outperform some machine learning-based approaches and yield equal accuracy and higher specificity but lower sensitivity than rule-based expert systems. It is also found that the ensemble models could be further improved if more data were available. As an application, the ensemble models are employed to discover potential carcinogens in the DrugBank database. The results indicate that the proposed models are helpful in predicting the carcinogenicity of chemicals. A web server called CarcinoPred-EL has been built for these models ( http://ccsipb.lnu.edu.cn/toxicity/CarcinoPred-EL/ ).
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Developing Scale for Assimilate the Integration between Learning Theories and E-learning.
Directory of Open Access Journals (Sweden)
George Maher Iskander
2014-03-01
Full Text Available As e-learning tend to get more and more significant for all kind of universities, researchers and consultants are becoming aware of the fact that a high technology approach and Blackboard do not guarantee successful teaching and learning. Thus, a move to pedagogy-based theories can be observed within the field of e-learning. This study describes the procedure of the development of an empirically-based psychometrically-sound instrument to measure instructional model for e-learning system at Middle East universities. In order to accelerate the acceptance of e-learning and implementation of institution-wide adoption of e-learning, it is important to understand students' perceptions with instructional model for e- learning. The 19-item scale developed shows a high probability of differentiating between positive and negative perceptions and the methods which can be used for embedding the traditional learning theories into e-learning.
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... Research Institute Veterans Administration Special thanks to our corporate sponsor for supporting excellence in transplant education: Learn more about the UNOS Kidney Transplant Learning Center Patient brochures What Every Patient Needs to ...
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Sohus, Anita M.; Wessen, Alice S.
2004-01-01
In communicating science to the public, just the facts can leave the public baffled, bewildered, and bored. In communicating science to the public, we need to learn to tell the story, not just the facts. Science and engineering is serious business, requiring precise language and rigorous reporting of "just the facts." Yet, we believe this very code of integrity has contributed to a public image, at best, of scientists as eccentrics and engineers as geeks, and at worst, as elitist snobs who speak in secret codes. The very heart of the science process - open discussion and disagreement - often leaves the public with the impression that scientists don't know which way is up.
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Pilot Skill Development with Implicit and Explicit Learning: Considerations for Task Complexity
National Research Council Canada - National Science Library
Sullivan, Ryan
2000-01-01
.... Research in learning strategies has recently focused on implicit and explicit learning to determine if it is more important to focus on conscious facts or unconscious procedural performance during the learning process...
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Tomasello, Michael
2016-05-01
M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and affiliate with others in their cultural group, children learn from pedagogy not just episodic facts but the generic structure of their cultural worlds, and children collaboratively co-construct with those in their culture normative rules for doing things. In all, human children do not just culturally learn useful instrumental activities and information, they conform to the normative expectations of the cultural group and even contribute themselves to the creation of such normative expectations. © 2016 The Author. Child Development © 2016 Society for Research in Child Development, Inc.
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Yang, Hongbin; Sun, Lixia; Li, Weihua; Liu, Guixia; Tang, Yun
2018-02-01
For a drug, safety is always the most important issue, including a variety of toxicities and adverse drug effects, which should be evaluated in preclinical and clinical trial phases. This review article at first simply introduced the computational methods used in prediction of chemical toxicity for drug design, including machine learning methods and structural alerts. Machine learning methods have been widely applied in qualitative classification and quantitative regression studies, while structural alerts can be regarded as a complementary tool for lead optimization. The emphasis of this article was put on the recent progress of predictive models built for various toxicities. Available databases and web servers were also provided. Though the methods and models are very helpful for drug design, there are still some challenges and limitations to be improved for drug safety assessment in the future.
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Directory of Open Access Journals (Sweden)
Hongbin Yang
2018-02-01
Full Text Available During drug development, safety is always the most important issue, including a variety of toxicities and adverse drug effects, which should be evaluated in preclinical and clinical trial phases. This review article at first simply introduced the computational methods used in prediction of chemical toxicity for drug design, including machine learning methods and structural alerts. Machine learning methods have been widely applied in qualitative classification and quantitative regression studies, while structural alerts can be regarded as a complementary tool for lead optimization. The emphasis of this article was put on the recent progress of predictive models built for various toxicities. Available databases and web servers were also provided. Though the methods and models are very helpful for drug design, there are still some challenges and limitations to be improved for drug safety assessment in the future.
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Yang, Hongbin; Sun, Lixia; Li, Weihua; Liu, Guixia; Tang, Yun
2018-01-01
During drug development, safety is always the most important issue, including a variety of toxicities and adverse drug effects, which should be evaluated in preclinical and clinical trial phases. This review article at first simply introduced the computational methods used in prediction of chemical toxicity for drug design, including machine learning methods and structural alerts. Machine learning methods have been widely applied in qualitative classification and quantitative regression studies, while structural alerts can be regarded as a complementary tool for lead optimization. The emphasis of this article was put on the recent progress of predictive models built for various toxicities. Available databases and web servers were also provided. Though the methods and models are very helpful for drug design, there are still some challenges and limitations to be improved for drug safety assessment in the future.
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Systematic reviews: Separating fact from fiction.
Haddaway, Neal R; Bilotta, Gary S
2016-01-01
The volume of scientific literature continues to expand and decision-makers are faced with increasingly unmanageable volumes of evidence to assess. Systematic reviews (SRs) are powerful tools that aim to provide comprehensive, transparent, reproducible and updateable summaries of evidence. SR methods were developed, and have been employed, in healthcare for more than two decades, and they are now widely used across a broad range of topics, including environmental management and social interventions in crime and justice, education, international development, and social welfare. Despite these successes and the increasing acceptance of SR methods as a 'gold standard' in evidence-informed policy and practice, misconceptions still remain regarding their applicability. The aim of this article is to separate fact from fiction, addressing twelve common misconceptions that can influence the decision as to whether a SR is the most appropriate method for evidence synthesis for a given topic. Through examples, we illustrate the flexibility of SR methods and demonstrate their suitability for addressing issues on environmental health and chemical risk assessment. Copyright © 2015 Elsevier Ltd. All rights reserved.
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Online Learning and Teaching in Higher Education, a book review
Sancho Vinuesa, Teresa
2008-01-01
Peer-reviewed Online Learning and Teaching in Higher Education provides a very interesting overview of theory and practice in online learning and teaching for higher education. In fact, authors focus on how technology can be applied to learning and what is the role of online learning in higher education policy and practice.
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A model for learning development | Kilfoil | South African Journal of ...
African Journals Online (AJOL)
This article looks at the way in which people perceive learning and the impact of these perceptions on teaching methods within the context of learning development in distance education. The context could, in fact, be any type of teaching and learning environment. The point is to balance approaches to teaching and learning ...
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Subotica municipality as a learning region
Directory of Open Access Journals (Sweden)
Pantić Marijana
2007-01-01
Full Text Available Some differences in territorial organization between Serbian and EU countries are obvious. The level of centralization and tradition in systems for implementation of ideas are differently back- grounded. However, these are the most important facts for the opportunity to realize Learning Region as a concept of the European future. There is no part of space that should be considered as unchangeable and the way to a better position and Learning Region concept implementation of each region in Serbia in practice should lead towards few necessary steps and further. The starting point is awareness of the facts on the creation of Subotica region as it is at present. The healthy future of each region is provided by looking back in the past and learning from the history. The other important thing is bench marking- learning on the positive and successful experiences of other regions, and finally, making its own concept of Learning Region adapted to local surrounding and true need of local people. Some experiences, suggestions and comparisons will be made in this case study, in relation to one of the Serbian municipalities nearest t to EU neighboring countries in a territorial way. .
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Electronic spectra from TDDFT and machine learning in chemical space
International Nuclear Information System (INIS)
Ramakrishnan, Raghunathan; Hartmann, Mia; Tapavicza, Enrico; Lilienfeld, O. Anatole von
2015-01-01
Due to its favorable computational efficiency, time-dependent (TD) density functional theory (DFT) enables the prediction of electronic spectra in a high-throughput manner across chemical space. Its predictions, however, can be quite inaccurate. We resolve this issue with machine learning models trained on deviations of reference second-order approximate coupled-cluster (CC2) singles and doubles spectra from TDDFT counterparts, or even from DFT gap. We applied this approach to low-lying singlet-singlet vertical electronic spectra of over 20 000 synthetically feasible small organic molecules with up to eight CONF atoms. The prediction errors decay monotonously as a function of training set size. For a training set of 10 000 molecules, CC2 excitation energies can be reproduced to within ±0.1 eV for the remaining molecules. Analysis of our spectral database via chromophore counting suggests that even higher accuracies can be achieved. Based on the evidence collected, we discuss open challenges associated with data-driven modeling of high-lying spectra and transition intensities
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Electronic spectra from TDDFT and machine learning in chemical space
Energy Technology Data Exchange (ETDEWEB)
Ramakrishnan, Raghunathan [Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials, Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel (Switzerland); Hartmann, Mia; Tapavicza, Enrico, E-mail: Enrico.Tapavicza@csulb.edu [Department of Chemistry and Biochemistry, California State University, 1250 Bellflower Boulevard, Long Beach, California 90840 (United States); Lilienfeld, O. Anatole von, E-mail: anatole.vonlilienfeld@unibas.ch [Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials, Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel (Switzerland); Argonne Leadership Computing Facility, Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, Illinois 60439 (United States)
2015-08-28
Due to its favorable computational efficiency, time-dependent (TD) density functional theory (DFT) enables the prediction of electronic spectra in a high-throughput manner across chemical space. Its predictions, however, can be quite inaccurate. We resolve this issue with machine learning models trained on deviations of reference second-order approximate coupled-cluster (CC2) singles and doubles spectra from TDDFT counterparts, or even from DFT gap. We applied this approach to low-lying singlet-singlet vertical electronic spectra of over 20 000 synthetically feasible small organic molecules with up to eight CONF atoms. The prediction errors decay monotonously as a function of training set size. For a training set of 10 000 molecules, CC2 excitation energies can be reproduced to within ±0.1 eV for the remaining molecules. Analysis of our spectral database via chromophore counting suggests that even higher accuracies can be achieved. Based on the evidence collected, we discuss open challenges associated with data-driven modeling of high-lying spectra and transition intensities.
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Math Fact Strategies Research Project
Boso, Annie
2011-01-01
An action research project was conducted in order to determine effective math fact strategies for first graders. The traditional way of teaching math facts included using timed tests and flashcards, with most students counting on their fingers or a number line. Six new research-based strategies were taught and analyzed to decide which methods…
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Directory of Open Access Journals (Sweden)
Michael P Ryan
2016-04-01
Full Text Available The Drug Facts Label is designed to guide consumers in comparing nonprescription drugs. Undergraduates studied and recalled drug facts for three analgesic or non-analgesic labels using Drug Facts Label headings as retrieval cues. They then studied and recalled drug facts from an aspirin label. Aspirin recall was greater when the prior labels were analgesics, but prior-label intrusion errors were also greater. These two effects were associated with the number of prior drug labels on which facilitating and interfering drug facts appeared. Using the Drug Facts Label schema to read drug labels can both enhance and degrade the recall of nonprescription drug facts.
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Sustainable Chemical Processes and Products. New Design Methodology and Design Tools
Korevaar, G.
2004-01-01
The current chemical industry is not sustainable, which leads to the fact that innovation of chemical processes and products is too often hazardous for society in general and the environment in particular. It really is a challenge to implement sustainability considerations in the design activities
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Organizational learning as a test-bed for business process reengineering
DEFF Research Database (Denmark)
Larsen, Michael Holm; Leinsdorff, Torben
1998-01-01
The fact that a company's learning ability may prevent strategic drift and the fact that many companies are undertaking BPR (business process reengineering) projects leads us to ask whether all these BPR activities promote organizational learning. Within this framework, we studied the extent...... of Enzyme Business, Novo Nordisk A/S. The result of the analysis is that a correlation between BPR and organizational learning has been established, i.e. the BPR elements: customer focus, process orientation, high level of ambition, clean sheet principle, performance measuring, the business system diamond...... to which BPR promotes organizational learning by focusing on the project group and the steering committee. This paper is based partly on a theoretical study of the significant characteristics of BPR and of organizational learning and partly on a field study carried out in cooperation with the business unit...
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IAEA Sends International Fact-finding Expert Mission to Japan
International Nuclear Information System (INIS)
2011-01-01
Full text: The International Atomic Energy Agency will dispatch an international expert fact-finding mission to Japan. Based upon the agreement between the IAEA and the Government of Japan, the mission, comprising nearly 20 international and IAEA experts from a dozen countries, will visit Japan between 24 May and 2 June 2011. Under the leadership of Mr. Mike Weightman, HM Chief Inspector of Nuclear Installations of the United Kingdom, the mission will conduct fact-finding activities at Tokyo Electric Power Company's Fukushima Dai-ichi Nuclear Power Station (NPS) site and in other locations. The expert mission will make a preliminary assessment of the safety issues linked with TEPCO's Fukushima Dai-ichi NPS accident following the Great East Japan Earthquake and Tsunami. During the mission, areas that need further exploration or assessment based on the IAEA safety standards will also be identified. In the course of the IAEA mission, the international experts will become acquainted with the Japanese lessons learned from the accident and will share their experience and expertise in their fields of competence with the Japanese authorities. Mr. Weightman will present the mission's report at the Ministerial Conference on Nuclear Safety organised by the IAEA in Vienna from 20 to 24 June 2011, as an important input in the process of reviewing and strengthening the global nuclear safety framework that will be launched by the Conference. (IAEA)
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U.S. Department of Health & Human Services — CMS has developed a new quick reference statistical summary on annual CMS program and financial data. CMS Fast Facts includes summary information on total program...
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Motivating Senior High School Students in English Learning
Institute of Scientific and Technical Information of China (English)
章小焕
2015-01-01
Motivation is the key to students’ English learning. To know how to promote students’ motivation in learning English, we need to know e-nough about motivation itself. In fact, motivation is so important to successful English learning that we must find the ways to promote students’ motivation. This paper focuses on identifying students’ problems of motivation and activa-ting their motivation to learn English with some useful ways.
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... and Local Programs Related Topics Diabetes Nutrition Childhood Obesity Facts Recommend on Facebook Tweet Share Compartir On ... Children (WIC) Program, 2000-2014 Prevalence of Childhood Obesity in the United States Childhood obesity is a ...
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Some basic facts about radioactive radon
International Nuclear Information System (INIS)
Duval, J.S.; Tanner, A.B.
1990-01-01
This article presents some basic facts about 222 Rn. These facts include: half-life; diffusion patterns; how radon enters a house; health risks; and means of definition and estimation of radon hazard potential
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Computational Approaches to Chemical Hazard Assessment
Luechtefeld, Thomas; Hartung, Thomas
2018-01-01
Summary Computational prediction of toxicity has reached new heights as a result of decades of growth in the magnitude and diversity of biological data. Public packages for statistics and machine learning make model creation faster. New theory in machine learning and cheminformatics enables integration of chemical structure, toxicogenomics, simulated and physical data in the prediction of chemical health hazards, and other toxicological information. Our earlier publications have characterized a toxicological dataset of unprecedented scale resulting from the European REACH legislation (Registration Evaluation Authorisation and Restriction of Chemicals). These publications dove into potential use cases for regulatory data and some models for exploiting this data. This article analyzes the options for the identification and categorization of chemicals, moves on to the derivation of descriptive features for chemicals, discusses different kinds of targets modeled in computational toxicology, and ends with a high-level perspective of the algorithms used to create computational toxicology models. PMID:29101769
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Vehicle Technologies' Fact of the Week 2012
Energy Technology Data Exchange (ETDEWEB)
Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Moore, Sheila A [ORNL; Boundy, Robert Gary [ORNL
2013-02-01
Each week the U.S. Department of Energy s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week s Fact is available on the VTO homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2012. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.
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Vehicle Technologies' Fact of the Week 2011
Energy Technology Data Exchange (ETDEWEB)
Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL
2012-04-01
Each week the U.S. Department of Energy s Vehicle Technology Program (VTP) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/. These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current Fact is available Monday through Friday on the VTP homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2011. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.
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... Where can I find more information? Share Postpartum Depression Facts Download PDF Download ePub Download Mobi Order ... for herself or her family. What is postpartum depression? Postpartum depression is a mood disorder that can ...
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Snapple[R] Real Facts Watercolors
Hodge, Stephanie
2007-01-01
Did you know that a hummingbird weighs less than a penny? Or that an elephant swims twenty miles a day? These are just two of the many facts that Snapple prints on the lids of their drink bottles. When Snapple first introduced the Snapple Real Facts the author was excited to see that something so trivial was also educational. She asked herself if…
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... Education About NIGMS NIGMS Home > Science Education > Anesthesia Anesthesia Tagline (Optional) Middle/Main Content Area En español ... Version (464 KB) Other Fact Sheets What is anesthesia? Anesthesia is a medical treatment that prevents patients ...
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... label> Information For… Media Policy Makers Facts about Omphalocele Language: English (US) Español (Spanish) Recommend on Facebook ... hardly ever is open or broken. What is Omphalocele? Omphalocele, also known as exomphalos, is a birth ...
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Transfer Learning beyond Text Classification
Yang, Qiang
Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.
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DEFF Research Database (Denmark)
Grieger, Khara D.; Laurent, Alexis; Miseljic, Mirko
2013-01-01
Successful strategies to handle the potential health and environmental risks of engineered nanomaterials (ENM) often rely upon the well-established frameworks of life cycle assessment (LCA) and risk assessment (RA). However, current research and specific guidance on how to actually apply these two...... scientific research efforts have taken into account some key lessons learned from past experiences with chemicals at the same time that many key challenges remain to applying these frameworks to ENM. In that setting, two main proposed approaches to use LCA and RA together for ENM are identified: i) LC......-based RA, similar to traditional RA applied in a life cycle perspective, and ii) RA-complemented LCA, similar to conventional LCA supplemented by RA in specific life cycle steps. This study finds that these two approaches for using LCA and RA together for ENM are similar to those made for chemicals...
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Michigan transportation facts & figures : public transportation
2002-08-16
This on-line document is part of a series, Transportation Facts & Figures, by the Michigan Department of Transportation (MDOT). The Public Transit section of Transportation Facts & Figures cover such topics as intercity bus service, intercity rail se...
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Karacop, Ataman; Doymus, Kemal
2013-04-01
The aim of this study was to determine the effect of jigsaw cooperative learning and computer animation techniques on academic achievements of first year university students attending classes in which the unit of chemical bonding is taught within the general chemistry course and these students' learning of the particulate nature of matter of this unit. The sample of this study consisted of 115 first-year science education students who attended the classes in which the unit of chemical bonding was taught in a university faculty of education during the 2009-2010 academic year. The data collection instruments used were the Test of Scientific Reasoning, the Purdue Spatial Visualization Test: Rotations, the Chemical Bonding Academic Achievement Test, and the Particulate Nature of Matter Test in Chemical Bonding (CbPNMT). The study was carried out in three different groups. One of the groups was randomly assigned to the jigsaw group, the second was assigned to the animation group (AG), and the third was assigned to the control group, in which the traditional teaching method was applied. The data obtained with the instruments were evaluated using descriptive statistics, one-way ANOVA, and MANCOVA. The results indicate that the teaching of chemical bonding via the animation and jigsaw techniques was more effective than the traditional teaching method in increasing academic achievement. In addition, according to findings from the CbPNMT, the students from the AG were more successful in terms of correct understanding of the particulate nature of matter.
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Towards unsupervised ontology learning from data
CSIR Research Space (South Africa)
Klarman, S
2015-07-01
Full Text Available from facts [Shapiro, 1981], finite automata descriptions from observations [Pitt, 1989], logic programs from interpretations [De Raedt and Lavracˇ, 1993; De Raedt, 1994]. In the area of DLs, a few learning scenarios have been formally addressed..., concerned largely with learning concept descriptions via different learn- ing operators [Straccia and Mucci, 2015; Lehmann and Hit- zler, 2008; Fanizzi et al., 2008; Cohen and Hirsh, 1994] and applications of formal concept analysis techniques to auto- mated...
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Femtosecond laser control of chemical reactions
CSIR Research Space (South Africa)
Du Plessis, A
2010-08-31
Full Text Available Femtosecond laser control of chemical reactions is made possible through the use of pulse-shaping techniques coupled to a learning algorithm feedback loop – teaching the laser pulse to control the chemical reaction. This can result in controllable...
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Mekarina, M.; Ningsih, Y. P.
2017-09-01
This classroom action research is based by the facts that the students motivation and achievement mathematics learning is less. One of the factors causing is learning that does not provide flexibility to students to empower the potential of the brain optimally. The aim of this research was to improve the student motivation and achievement in mathematics learning by implementing brain based learning approach. The subject of this research was student of grade XI in senior high school. The research consisted of two cycles. Data of student achievement from test, and the student motivation through questionnaire. Furthermore, the finding of this research showed the result of the analysis was the implementation of brain based learning approach can improve student’s achievement and motivation in mathematics learning.
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International Nuclear Information System (INIS)
1996-01-01
This report presents the main facts of the studies carried out by the Direction des Etudes et Recherches (DER) of Electricite de France: new applications of electricity, classical and nuclear thermal power plants, electrical equipment, environment protection, monitoring and plants operations
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Machine learning of molecular properties: Locality and active learning
Gubaev, Konstantin; Podryabinkin, Evgeny V.; Shapeev, Alexander V.
2018-06-01
In recent years, the machine learning techniques have shown great potent1ial in various problems from a multitude of disciplines, including materials design and drug discovery. The high computational speed on the one hand and the accuracy comparable to that of density functional theory on another hand make machine learning algorithms efficient for high-throughput screening through chemical and configurational space. However, the machine learning algorithms available in the literature require large training datasets to reach the chemical accuracy and also show large errors for the so-called outliers—the out-of-sample molecules, not well-represented in the training set. In the present paper, we propose a new machine learning algorithm for predicting molecular properties that addresses these two issues: it is based on a local model of interatomic interactions providing high accuracy when trained on relatively small training sets and an active learning algorithm of optimally choosing the training set that significantly reduces the errors for the outliers. We compare our model to the other state-of-the-art algorithms from the literature on the widely used benchmark tests.
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Creating and maintaining chemical artificial life by robotic symbiosis
DEFF Research Database (Denmark)
Hanczyc, Martin M.; Parrilla, Juan M.; Nicholson, Arwen
2015-01-01
We present a robotic platform based on the open source RepRap 3D printer that can print and maintain chemical artificial life in the form of a dynamic, chemical droplet. The robot uses computer vision, a self-organizing map, and a learning program to automatically categorize the behavior of the d......We present a robotic platform based on the open source RepRap 3D printer that can print and maintain chemical artificial life in the form of a dynamic, chemical droplet. The robot uses computer vision, a self-organizing map, and a learning program to automatically categorize the behavior...... confluence of chemical, artificial intelligence, and robotic approaches to artificial life....
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Creating and Maintaining Chemical Artificial Life by Robotic Symbiosis
DEFF Research Database (Denmark)
Hanczyc, Martin; Parrilla, Juan M.; Nicholson, Arwen
2015-01-01
We present a robotic platform based on the open source RepRap 3D printer that can print and maintain chemical artificial life in the form of a dynamic, chemical droplet. The robot uses computer vision, a self-organizing map, and a learning program to automatically categorize the behavior of the d......We present a robotic platform based on the open source RepRap 3D printer that can print and maintain chemical artificial life in the form of a dynamic, chemical droplet. The robot uses computer vision, a self-organizing map, and a learning program to automatically categorize the behavior...... confluence of chemical, artificial intelligence, and robotic approaches to artificial life....
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Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network.
Jiang, Peng; Hu, Zhixin; Liu, Jun; Yu, Shanen; Wu, Feng
2016-10-13
Big sensor data provide significant potential for chemical fault diagnosis, which involves the baseline values of security, stability and reliability in chemical processes. A deep neural network (DNN) with novel active learning for inducing chemical fault diagnosis is presented in this study. It is a method using large amount of chemical sensor data, which is a combination of deep learning and active learning criterion to target the difficulty of consecutive fault diagnosis. DNN with deep architectures, instead of shallow ones, could be developed through deep learning to learn a suitable feature representation from raw sensor data in an unsupervised manner using stacked denoising auto-encoder (SDAE) and work through a layer-by-layer successive learning process. The features are added to the top Softmax regression layer to construct the discriminative fault characteristics for diagnosis in a supervised manner. Considering the expensive and time consuming labeling of sensor data in chemical applications, in contrast to the available methods, we employ a novel active learning criterion for the particularity of chemical processes, which is a combination of Best vs. Second Best criterion (BvSB) and a Lowest False Positive criterion (LFP), for further fine-tuning of diagnosis model in an active manner rather than passive manner. That is, we allow models to rank the most informative sensor data to be labeled for updating the DNN parameters during the interaction phase. The effectiveness of the proposed method is validated in two well-known industrial datasets. Results indicate that the proposed method can obtain superior diagnosis accuracy and provide significant performance improvement in accuracy and false positive rate with less labeled chemical sensor data by further active learning compared with existing methods.
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The Chimes of Freedom: Bob Dylan, Epigrammatic Validity, and Alternative Facts.
Harris, John
2018-01-01
This essay brings together work I have done over the past 10 years: on the nature of ethics, on the purpose of ethics, and on its foundations in a way that, I hope, as E.M. Forster put it, connects "the prose and the passion." I deploy lessons learned in this process to identify and face what I believe to be crucial challenges to science and to freedom (as defended by, among others, Cicero, Pete Seeger, Bob Dylan, Thomas Hobbes, John Stuart Mill, and Bertrand Russell). Finally I consider threats to freedom of a different sort, posed by the creation and dissemination of "alternative facts" and by what is sometimes called "super" or "full" artificial intelligence (AI).
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Retirement and Learning: A Longitudinal Qualitative Approach
Tam, Maureen
2018-01-01
This paper discusses retirement as a learning process, where learning, be it formal or informal, enables retirees to adjust to the transition from work to retirement. Such discussion is important given the fact that the world population is aging and that more people are retiring in the next few decades. Moreover, people are experiencing an…
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International Nuclear Information System (INIS)
1994-01-01
This report presents the main facts of the studies carried out by the Direction des Etudes et Recherches (DER) of Electricite de France: new applications of electricity, classical and nuclear thermal power plants, electrical equipment, environment protection, network analysis, information and informatic equipment
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Tuberculosis Facts - You Can Prevent TB
Tuberculosis (TB) Facts You Can Prevent TB What is TB? “TB” is short for a disease called tuberculosis. TB is spread through the air from one ... Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination TB Facts: You Can Prevent TB What ...
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Tuberculosis Facts - TB Can Be Treated
Tuberculosis (TB) Facts TB Can Be Treated What is TB? “TB” is short for a disease called tuberculosis. TB is spread through the air from one ... Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination Page 1 of 2 TB Facts: TB ...
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Robust Learning of Fixed-Structure Bayesian Networks
Diakonikolas, Ilias; Kane, Daniel; Stewart, Alistair
2016-01-01
We investigate the problem of learning Bayesian networks in an agnostic model where an $\\epsilon$-fraction of the samples are adversarially corrupted. Our agnostic learning model is similar to -- in fact, stronger than -- Huber's contamination model in robust statistics. In this work, we study the fully observable Bernoulli case where the structure of the network is given. Even in this basic setting, previous learning algorithms either run in exponential time or lose dimension-dependent facto...
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Forum: Learning Outcomes in Communication. Assessment and NCA's Student Learning Outcomes
Mello, Brad; Brammer, Leila R.; White, Cindy; Hernandez, Trisha; Bach, Betsy
2016-01-01
Among faculty, assessment is frequently discussed as an added burden that does little to improve student learning, existing to appease administrators and accreditors. In fact, at one of the author's institutions, a faculty listserv post argued that assessment was a corporate and political move to standardize all education and destroy faculty…
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... In Schools Training Kits RQI AHA Blended Learning & eLearning Guide AHA Instructors ECC Educational Conferences Programs CPR ... In Schools Training Kits RQI AHA Blended Learning & eLearning Guide AHA Instructors ECC Educational Conferences Programs CPR ...
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Full Text Available ... Drugs and HIV Learn the Link - Drugs and HIV Email Facebook Twitter 2005 –Ongoing Behaviors associated with ... Send the Message . Get the Facts What are HIV and AIDS? HIV (human immunodeficiency virus) is the ...
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Full Text Available ... Use and SUDs in LGBT Populations Treatment Trends & Statistics Women and Drugs Publications Search Publications Orderable DrugFacts ... decrease symptoms of illness. To learn about current statistics of HIV in the United States, please visit: ...
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U.S. Environmental Protection Agency — This tool is intended to aid individuals interested in learning more about chemicals that are manufactured or imported into the United States. Health and safety...
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untangling chemical kinetics through tangible and visual
African Journals Online (AJOL)
Temechegn
elementary chemical reactions as part of the learning process. Despite employing ... relation between reaction rates of reactants and their products involves the use .... Experiment Journal of Chemical Education, 77, 1013– 1014. 19. Niaz, M. A ...
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FACTS device control strategy using PMU
Directory of Open Access Journals (Sweden)
Mohd Tauseef Khan
2016-09-01
Full Text Available The laying and commissioning of new transmission line is very difficult due to socio-economic problems, like environmental clearances, right of way, etc. Therefore, there is an emphasis on better utilization of available transmission infrastructure. FACTS devices can provide reactive power compensation, transmission capability enhancement, and voltage and stability improvement. FACTS devices operate under the command of system operator who analyses its demand by the data acquired through traditional SCADA system, state estimation algorithms and PMUs. SCADA together with PMU give accurate information about the operational state of power system. This paper proposes a scheme to automate the FACTS devices in collaboration with PMUs in a more efficient way. Highly precised data from PMUs can be fed to intelligent controllers for effective analyzing and automating the FACTS device through control command. Thus, this combination can provide real time control of reactive power, together with enhancement of power handling capability and stability improvement.
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Knowledge and Learning in Engineering Practice
DEFF Research Database (Denmark)
Buch, Anders
2007-01-01
, this chapter discusses the cencept of learning and purports to theorize learning in a Social Theory of Learning (STL). The attempt to reconstruct learning in an STL addresses three main issues: an STL must try to specify the subject-world relationship, describe the 'mechanism' of learning, and identify......During the 20th century, traditional epistemological theories of knowledge have been under siege. In recent years, efforts have been made to reconstruct the concept of 'knowledge' to emphasize its contextual, situated and social character. Drawing on the results and methods of these efforts...... the 'telos' of learning. This attempt will in fact give answers to three fundamental questions: 1) What is learning? 2) How do we learn? and 3) Why do we learn? These questions are discussed in relation to engineering practices of getting to know and learning....
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Language and learning in transformative learning spaces – multilingual learner’s stories
DEFF Research Database (Denmark)
Maslo, Elina
: Practice to theory, theory to practice. Procedia – Social and Behavioral Sciences. Elsevier. Van Manen, M. (1997). Researching Lived Experience. The Althouse Press. Intent of the Publication:This publication intends to provide a more nuanced understanding of human learning processes, not least......Proposal information:The necessity of knowing languages, many languages in fact, is emphasised in many different contexts in Europe, often in connection with globalisation. Languages are referred to as a key that opens a door – or many doors. Language is “a key to education”, ”a key to employment...... to success – language and learning in transformative learning spaces” is a study of multilingual people’s experiences of their (language) learning processes. It is aimed to improve our understanding of human learning processes, not least the subjective dimensions of these processes. Despite rapid development...
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The Science of Learning. 2nd Edition
Pear, Joseph J.
2016-01-01
For over a century and a quarter, the science of learning has expanded at an increasing rate and has achieved the status of a mature science. It has developed powerful methodologies and applications. The rise of this science has been so swift that other learning texts often overlook the fact that, like other mature sciences, the science of…
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Acceptance of Mobile Learning at SMEs of the Service Sector
Beutner, Marc; Rüscher, Frederike Anna
2017-01-01
Mobile Learning (mLearning) is becoming popular in several parts of education. The increasing availability of mobile technology and devices is an important fact, which fosters this trend. However, even if it attracts more and more attention at huge enterprises it is not clear what small and medium enterprises (SMEs) think about Mobile Learning.…
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Culture in Language Learning: Background, Issues and Implications
Directory of Open Access Journals (Sweden)
Omid Pourkalhor
2017-03-01
Full Text Available The present study aimed at presenting the historical background of the emergence of culture in language learning and how it can be correlated with the language learners. In fact, by providing various definitions of culture and the role it might play in the process of language learning, whether directly or indirectly, this research provides a clear-cut overview of culture and its application among the people as well as their communication in the society. Moreover, the relationship between culture and language learning is also taken into account. To this end, basic definitions of culture in different research studies are investigated moving toward finding a path to make a connection between language and culture. Therefore, a review of studies on the relationship between language learning and culture is provided to account for the possible effectiveness of benefiting from culture in the language learning process in that the learning context (i.e. foreign or second language can be affected by the culture of the teachers as well as the learners. This demands that both teachers and learners should be aware of cultural issues surrounding the language and the fact that it can be beneficial for the process of language learning. If learner are consciously involved in the culture of the language they are learning, they certainly can have better performance and understand the language more tangibly.
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Full Text Available ... Notes Podcasts E-Newsletters Public Education Projects National Drug & Alcohol Facts Week NIDA TV PEERx Drugs & Health Blog ... Award for Addiction Science USA Science & Engineering Festival Drug & Alcohol Chat Day HBO Addiction Project Learn the Link ...
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Students' Motivation toward English Language Learning at Undergraduate Level
Ahmed, Mumtaz; Aftab, Maria; Yaqoob, Humaira
2015-01-01
The main purpose of this descriptive research is to explore the fact that why students are less motivated towards English language learning at undergraduate level. It also throws light upon the very facts of motivation with regard to the factors like student-teacher relationship, class room environment, self esteem or self respect, and willingness…
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Public Health Agency
2012-01-01
Fact sheet on Pseudomonas, including:What is Pseudomonas?What infections does it cause?Who is susceptible to pseudomonas infection?How will I know if I have pseudomonas infection?How can Pseudomonas be prevented from spreading?How can I protect myself from Pseudomonas?How is Pseudomonas infection treated?
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Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network
Jiang, Peng; Hu, Zhixin; Liu, Jun; Yu, Shanen; Wu, Feng
2016-01-01
Big sensor data provide significant potential for chemical fault diagnosis, which involves the baseline values of security, stability and reliability in chemical processes. A deep neural network (DNN) with novel active learning for inducing chemical fault diagnosis is presented in this study. It is a method using large amount of chemical sensor data, which is a combination of deep learning and active learning criterion to target the difficulty of consecutive fault diagnosis. DNN with deep architectures, instead of shallow ones, could be developed through deep learning to learn a suitable feature representation from raw sensor data in an unsupervised manner using stacked denoising auto-encoder (SDAE) and work through a layer-by-layer successive learning process. The features are added to the top Softmax regression layer to construct the discriminative fault characteristics for diagnosis in a supervised manner. Considering the expensive and time consuming labeling of sensor data in chemical applications, in contrast to the available methods, we employ a novel active learning criterion for the particularity of chemical processes, which is a combination of Best vs. Second Best criterion (BvSB) and a Lowest False Positive criterion (LFP), for further fine-tuning of diagnosis model in an active manner rather than passive manner. That is, we allow models to rank the most informative sensor data to be labeled for updating the DNN parameters during the interaction phase. The effectiveness of the proposed method is validated in two well-known industrial datasets. Results indicate that the proposed method can obtain superior diagnosis accuracy and provide significant performance improvement in accuracy and false positive rate with less labeled chemical sensor data by further active learning compared with existing methods. PMID:27754386
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Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network
Directory of Open Access Journals (Sweden)
Peng Jiang
2016-10-01
Full Text Available Big sensor data provide significant potential for chemical fault diagnosis, which involves the baseline values of security, stability and reliability in chemical processes. A deep neural network (DNN with novel active learning for inducing chemical fault diagnosis is presented in this study. It is a method using large amount of chemical sensor data, which is a combination of deep learning and active learning criterion to target the difficulty of consecutive fault diagnosis. DNN with deep architectures, instead of shallow ones, could be developed through deep learning to learn a suitable feature representation from raw sensor data in an unsupervised manner using stacked denoising auto-encoder (SDAE and work through a layer-by-layer successive learning process. The features are added to the top Softmax regression layer to construct the discriminative fault characteristics for diagnosis in a supervised manner. Considering the expensive and time consuming labeling of sensor data in chemical applications, in contrast to the available methods, we employ a novel active learning criterion for the particularity of chemical processes, which is a combination of Best vs. Second Best criterion (BvSB and a Lowest False Positive criterion (LFP, for further fine-tuning of diagnosis model in an active manner rather than passive manner. That is, we allow models to rank the most informative sensor data to be labeled for updating the DNN parameters during the interaction phase. The effectiveness of the proposed method is validated in two well-known industrial datasets. Results indicate that the proposed method can obtain superior diagnosis accuracy and provide significant performance improvement in accuracy and false positive rate with less labeled chemical sensor data by further active learning compared with existing methods.
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E-Learning System for Design and Construction of Amplifier Using Transistors
Takemura, Atsushi
2014-01-01
This paper proposes a novel e-Learning system for the comprehensive understanding of electronic circuits with transistors. The proposed e-Learning system allows users to learn a wide range of topics, encompassing circuit theories, design, construction, and measurement. Given the fact that the amplifiers with transistors are an integral part of…
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National Information Center for Children and Youth with Disabilities, Washington, DC.
This fact sheet offers definitions of the three types of spina bifida, outlines their incidence, describes characteristics of individuals with spina bifida, and reviews educational implications. The fact sheet emphasizes that school programs should be flexible to accommodate these students' special needs and frequent absences, that children with…
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American Chemical Society Student Affiliates Chapters: More Than Just Chemistry Clubs
Montes, Ingrid; Collazo, Carmen
2003-10-01
Chemistry educators often examine and implement various instructional techniques, such as mentoring programs, to advance learning objectives and to equip students with analytical and technical skills, as well as the skills required of chemical science professionals. Student organizations, such as an American Chemical Society Student Affiliates (SA) chapter, can create a learning environment for undergraduates by engaging them in activities that develop communication, teamwork and inquiry, analysis, and problem-solving skills within a real-world setting. The environment is student-based, has personal meaning for the learner, emphasizes a process-and-product orientation, and emphasizes evaluation. Participation in SAs enhance the traditional chemistry curriculum, complementing the learning goals and meeting learning objectives that might not otherwise be addressed in the curriculum. In this article we discuss how SA chapters enhance the educational experience of undergraduate chemical science students, help develop new chemistry professionals, and shape enthusiastic and committed future chemical science leaders.
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Learning and Model-checking Networks of I/O Automata
DEFF Research Database (Denmark)
Mao, Hua; Jaeger, Manfred
2012-01-01
We introduce a new statistical relational learning (SRL) approach in which models for structured data, especially network data, are constructed as networks of communicating nite probabilistic automata. Leveraging existing automata learning methods from the area of grammatical inference, we can...... learn generic models for network entities in the form of automata templates. As is characteristic for SRL techniques, the abstraction level aorded by learning generic templates enables one to apply the learned model to new domains. A main benet of learning models based on nite automata lies in the fact...
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Electronic Nicotine Delivery Systems Key Facts Infographic
U.S. Department of Health & Human Services — Explore the Electronic Nicotine Delivery Systems Key Facts Infographic which outlines key facts related to electronic nicotine delivery systems (ENDS), including...
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Manurung, Sondang; Demonta Pangabean, Deo
2017-05-01
The main purpose of this study is to produce needs analysis, literature review, and learning tools in the study of developmental of interactive multimedia based physic learning charged in problem solving to improve thinking ability of physic prospective student. The first-year result of the study is: result of the draft based on a needs analysis of the facts on the ground, the conditions of existing learning and literature studies. Following the design of devices and instruments performed as well the development of media. Result of the second study is physics learning device -based interactive multimedia charged problem solving in the form of textbooks and scientific publications. Previous learning models tested in a limited sample, then in the evaluation and repair. Besides, the product of research has an economic value on the grounds: (1) a virtual laboratory to offer this research provides a solution purchases physics laboratory equipment is expensive; (2) address the shortage of teachers of physics in remote areas as a learning tool can be accessed offline and online; (3). reducing material or consumables as tutorials can be done online; Targeted research is the first year: i.e story board learning physics that have been scanned in a web form CD (compact disk) and the interactive multimedia of gas Kinetic Theory concept. This draft is based on a needs analysis of the facts on the ground, the existing learning conditions, and literature studies. Previous learning models tested in a limited sample, then in the evaluation and repair.
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A role of low dose chemical mixtures in adipose tissue in carcinogenesis.
Lee, Duk-Hee; Jacobs, David R; Park, Ho Yong; Carpenter, David O
2017-11-01
The Halifax project recently hypothesized a composite carcinogenic potential of the mixture of low dose chemicals which are commonly encountered environmentally, yet which are not classified as human carcinogens. A long neglected but important fact is that adipose tissue is an important exposure source for chemical mixtures. In fact, findings from human studies based on several persistent organic pollutants in general populations with only background exposure should be interpreted from the viewpoint of chemical mixtures because serum concentrations of these chemicals can be seen as surrogates for chemical mixtures in adipose tissue. Furthermore, in conditions such as obesity with dysfunctional adipocytes or weight loss in which lipolysis is increased, the amount of the chemical mixture released from adipose tissue to circulation is increased. Thus, both obesity and weight loss can enhance the chance of chemical mixtures reaching critical organs, however paradoxical this idea may be when fat mass is the only factor considered. The complicated, interrelated dynamics of adipocytes and chemical mixtures can explain puzzling findings related to body weight among cancer patients, including the obesity paradox. The contamination of fat in human diet with chemical mixtures, occurring for reasons similar to contamination of human adipose tissue, may be a missing factor which affects the association between dietary fat intake and cancer. The presence of chemical mixtures in adipose tissue should be considered in future cancer research, including clinical trials on weight management among cancer survivors. Copyright © 2017 Elsevier Ltd. All rights reserved.
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2010-01-01
... INSULATION § 460.13 Fact sheets. If you are a manufacturer, you must give retailers and installers fact... uses. (b) A heading: “This is ____ insulation.” Fill in the blank with the type and form of your... compressed during installation.” (e) After the chart and any statement dealing with the specific type of...
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International nuclear waste management fact book
International Nuclear Information System (INIS)
Abrahms, C.W.; Patridge, M.D.; Widrig, J.E.
1995-11-01
The International Nuclear Waste Management Fact Book has been compiled to provide current data on fuel cycle and waste management facilities, R and D programs, and key personnel in 24 countries, including the US; four multinational agencies; and 20 nuclear societies. This document, which is in its second year of publication supersedes the previously issued International Nuclear Fuel Cycle Fact Book (PNL-3594), which appeared annually for 12 years. The content has been updated to reflect current information. The Fact Book is organized as follows: National summaries--a section for each country that summarizes nuclear policy, describes organizational relationships, and provides addresses and names of key personnel and information on facilities. International agencies--a section for each of the international agencies that has significant fuel cycle involvement and a list of nuclear societies. Glossary--a list of abbreviations/acronyms of organizations, facilities, and technical and other terms. The national summaries, in addition to the data described above, feature a small map for each country and some general information that is presented from the perspective of the Fact Book user in the US
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International nuclear waste management fact book
Energy Technology Data Exchange (ETDEWEB)
Abrahms, C W; Patridge, M D; Widrig, J E
1995-11-01
The International Nuclear Waste Management Fact Book has been compiled to provide current data on fuel cycle and waste management facilities, R and D programs, and key personnel in 24 countries, including the US; four multinational agencies; and 20 nuclear societies. This document, which is in its second year of publication supersedes the previously issued International Nuclear Fuel Cycle Fact Book (PNL-3594), which appeared annually for 12 years. The content has been updated to reflect current information. The Fact Book is organized as follows: National summaries--a section for each country that summarizes nuclear policy, describes organizational relationships, and provides addresses and names of key personnel and information on facilities. International agencies--a section for each of the international agencies that has significant fuel cycle involvement and a list of nuclear societies. Glossary--a list of abbreviations/acronyms of organizations, facilities, and technical and other terms. The national summaries, in addition to the data described above, feature a small map for each country and some general information that is presented from the perspective of the Fact Book user in the US.
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QUESTIONING FOREIGN LANGUAGE LEARNING IN ISLAMIC PRE-SCHOOL
Directory of Open Access Journals (Sweden)
Rohmani Nur Indah
2011-10-01
Full Text Available This paper questions the urgency of foreign language learning at early age by covering some arguments on the acquisition and bilingualism. Nowadays in Indonesia, under the interest of education, bilingual learning is undertaken by adopting the theory of bilingual acquisition referring to Chomsky’s ideas. In fact, the foreign language learning is not always in line with the principle of language acquisition especially for the early age children. The globalization era requires foreign language mastery so that for many institutions of children education have got the bilingual learning. As the example, some of Islamic educational institutions at the level of playgroup have applied the instruction in English and teaching Arabic words, by considering that the earlier foreign language learning is the better, and the fact that the golden age of brain development occurs at the first five years. This needs to be analyzed further, because there is also important task to have mother tongue language acquisition. For the community of multilingual such as in Indonesia, the acquisition of many languages is unavoidable. Therefore, parents are faced with two choices: To prior the mother tongue and bahasa Indonesia as second language or encourage the bilingual learning of Arabic and English.
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... news-room/fact-sheets/detail/cholera","@context":"http://schema.org","@type":"Article"}; العربية 中文 français русский español ... that includes feedback at the local level and information-sharing at the global level. Cholera cases are ...
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Reeves, Jenelle
2010-01-01
Scripted instruction (SI) programs, which direct teachers to teach, even to talk, from a standardized written script, are roundly criticized for inhibiting teacher creativity and teacher learning. In fact, such programs utilize scripting for exactly that reason: to reduce teacher interference with (and presumed weakening of) the prescribed…
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Prediction of Chemical Function: Model Development and ...
The United States Environmental Protection Agency’s Exposure Forecaster (ExpoCast) project is developing both statistical and mechanism-based computational models for predicting exposures to thousands of chemicals, including those in consumer products. The high-throughput (HT) screening-level exposures developed under ExpoCast can be combined with HT screening (HTS) bioactivity data for the risk-based prioritization of chemicals for further evaluation. The functional role (e.g. solvent, plasticizer, fragrance) that a chemical performs can drive both the types of products in which it is found and the concentration in which it is present and therefore impacting exposure potential. However, critical chemical use information (including functional role) is lacking for the majority of commercial chemicals for which exposure estimates are needed. A suite of machine-learning based models for classifying chemicals in terms of their likely functional roles in products based on structure were developed. This effort required collection, curation, and harmonization of publically-available data sources of chemical functional use information from government and industry bodies. Physicochemical and structure descriptor data were generated for chemicals with function data. Machine-learning classifier models for function were then built in a cross-validated manner from the descriptor/function data using the method of random forests. The models were applied to: 1) predict chemi
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Mechanical and chemical decontamination of surfaces
International Nuclear Information System (INIS)
Kienhoefer, M.
1982-01-01
Decontamination does not mean more than a special technique of cleaning surfaces by methods well known in the industry. The main difference consists in the facts that more than just the visible dirt is to be removed and that radioactive contamination cannot be seen. Especially, intensive mechanical and chemical carry-off methods are applied to attack the surfaces. In order to minimize damages caused to the surfaces, the decontamination method is to adapt to the material and the required degree of decontamination. The various methods, their advantages and disadvantages are described, and the best known chemical solutions are shown. (orig./RW)
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An iterative learning controller for nonholonomic mobile robots
International Nuclear Information System (INIS)
Oriolo, G.; Panzieri, S.; Ulivi, G.
1998-01-01
The authors present an iterative learning controller that applies to nonholonomic mobile robots, as well as other systems that can be put in chained form. The learning algorithm exploits the fact that chained-form. The learning algorithm exploits the fact that chained-form systems are linear under piecewise-constant inputs. The proposed control scheme requires the execution of a small number of experiments to drive the system to the desired state in finite time, with nice convergence and robustness properties with respect to modeling inaccuracies as well as disturbances. To avoid the necessity of exactly reinitializing the system at each iteration, the basic method is modified so as to obtain a cyclic controller, by which the system is cyclically steered through an arbitrary sequence of states. As a case study, a carlike mobile robot is considered. Both simulation and experimental results are reported to show the performance of the method
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International Nuclear Information System (INIS)
Anon.
1994-01-01
This fact sheet gives details of the Hibernia oil field including its location, discovery date, oil company's interests in the project, the recoverable reserves of the two reservoirs, the production system used, capital costs of the project, and overall targets for Canadian benefit. Significant dates for the Hibernia project are listed. (UK)
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The quest for greater chemical energy storage in energetic materials: Grounding expectations
Lindsay, C. Michael; Fajardo, Mario E.
2017-01-01
It is well known that the performance of modern energetic materials based on organic chemistry has plateaued, with only ˜ 40% improvements realized over the past half century. This fact has stimulated research on alternative chemical energy storage schemes in various U.S. government funded "High Energy Density Materials" (HEDM) programs since the 1950's. These efforts have examined a wide range of phenomena such as free radical stabilization, metallic hydrogen, metastable helium, polynitrogens, extended molecular solids, nanothermites, and others. In spite of the substantial research investments, significant improvements in energetic material performance have not been forthcoming. This paper discusses the lessons learned in the various HEDM programs, the different degrees of freedom in which to store energy in materials, and the fundamental limitations and orders of magnitude of the energies involved. The discussion focuses almost exclusively on the topic of energy density and only mentions in passing other equally important properties of explosives and propellants such as gas generation and reaction rate.
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Interstate Research Associates, McLean, VA.
This fact sheet on cerebral palsy is offered in both English and Spanish. First, it provides a definition and considers various causes (e.g., an insufficient amount of oxygen reaching the fetal or newborn brain). The fact sheet then offers incidence figures and explains characteristics of the three main types of cerebral palsy: spastic, athetoid,…
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Text-based Learning (Tbl) to Activate Adult Efl Learners in Learning English: a Narrative Inquiry
Iftanti, Erna
2017-01-01
In response to the fact that college students complain on their unsuccessful story of their EFL learning experience such as the limited number of vocabulary, English Grammar confusion, low competence of English language skills, this article explores an alternative effective way of helping them to improve their English through Text-Based Learning (TBL) model. This article is then intended to narrate the implementation of TBL to teach English for college students of non English Department of Po...
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Transport and Fate of Volatile Organic Chemical in Soils
DEFF Research Database (Denmark)
Petersen, Lis Wollesen
Recently much attention has been paid to the behavior of volatile organic chemicals (VOCs) in the environment. This is due to the fact that the environmental pollution with these hazardous chemicals has drastically increased during the last decades. The present study is limited to consider...... the transport and fate of VOCs in the gaseous phase, thus contributing to the overall understanding of VOCs behavior in soil, which eventually will facilitate future cleanup....
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Tinnitus: Understanding the Facts
American Tinnitus Association Donate Become A Member Member Login Find A Provider Support Search form Search Menu Close Understanding The Facts Managing Your Tinnitus Research Toward A Cure About Us Initiatives News & ...
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Whooping Cough (Pertussis) - Fact Sheet for Parents
... months 4 through 6 years Fact Sheet for Parents Color [2 pages] Español: Tosferina (pertussis) The best ... according to the recommended schedule. Fact Sheets for Parents Diseases and the Vaccines that Prevent Them Chickenpox ...
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Evaluation of Chemical Representations in Physical Chemistry Textbooks
Nyachwaya, James M.; Wood, Nathan B.
2014-01-01
That different levels of representation are important for complete understanding of chemistry is an accepted fact in the chemistry education community. This study sought to uncover types of representations used in given physical chemistry textbooks. Textbooks play a central role in the teaching and learning of science (chemistry), and in some…
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Simulation of convection-driven wet-chemical etching
Driesen, C.H.
1999-01-01
a wet-chemical etching process, the resulting etched shape is smaller than the originally designed shape at the mask. This is caused by the fact that, as soon as material next to the mask is dissolved, material under the mask will be dissolved too. This is the so-called undercut effect. During an
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Motivation and Learning Strategies in a
Directory of Open Access Journals (Sweden)
Shahinaz A. Bukhary
2013-09-01
Full Text Available Motivation is a fundamental factor to fructify any functional and effective classroom setting with interest, hope and expressive fruitful teaching experience. Motivating foreign language learners to advance successfully in learning the target language (English is a domain that has been discussed widely in many language learning studies. In fact, there is still much argumentation on to what extent motivation influence language learning as there is not clear evidence of how motivation manipulates the success or failure of the target language. It is noticeable that language learners, in this case Saudi university students, do not invest as much time in learning English as they do in learning their specialist subjects. This paper tends to look at the meaning of motivation and how far does it go to affect language learning. It also attempts to investigate factors that frustrate learners by conducting different research tools such as interviews and questionnaires for both English students and instructors. Research results present that many students dislike English classes and wish not to participate or attend them. Additionally, teachers comment that despite the efforts to promote language learning, the outcome of their students is considered to be unsatisfactory. Teachers believe that this can be contributed to the fact that they are pressed to complete fixed curriculum in a limited period of time and abide by strict instruction to evaluate their students with no room left for them to personalize their own learning experience. Therefore, teachers need to be given opportunities to broaden their pedagogical repertoires and make English learning more engaging and more meaningful. The study implications shed the light on some useful hints to be applied in EFL classes.
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How to Read a Nutrition Facts Label
Full Text Available ... Educators Search English Español How to Read a Nutrition Facts Label (Video) KidsHealth / For Parents / How to Read a Nutrition Facts Label (Video) Print en español Cómo leer ...
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AgeFactDB—the JenAge Ageing Factor Database—towards data integration in ageing research
Hühne, Rolf; Thalheim, Torsten; Sühnel, Jürgen
2014-01-01
AgeFactDB (http://agefactdb.jenage.de) is a database aimed at the collection and integration of ageing phenotype data including lifespan information. Ageing factors are considered to be genes, chemical compounds or other factors such as dietary restriction, whose action results in a changed lifespan or another ageing phenotype. Any information related to the effects of ageing factors is called an observation and is presented on observation pages. To provide concise access to the complete information for a particular ageing factor, corresponding observations are also summarized on ageing factor pages. In a first step, ageing-related data were primarily taken from existing databases such as the Ageing Gene Database—GenAge, the Lifespan Observations Database and the Dietary Restriction Gene Database—GenDR. In addition, we have started to include new ageing-related information. Based on homology data taken from the HomoloGene Database, AgeFactDB also provides observation and ageing factor pages of genes that are homologous to known ageing-related genes. These homologues are considered as candidate or putative ageing-related genes. AgeFactDB offers a variety of search and browse options, and also allows the download of ageing factor or observation lists in TSV, CSV and XML formats. PMID:24217911
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... NIGMS NIGMS Home > Science Education > Structural Biology Structural Biology Tagline (Optional) Middle/Main Content Area PDF Version (688 KB) Other Fact Sheets What is structural biology? Structural biology is the study of how biological ...
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Cholesterol Facts and Statistics
... Managing High Cholesterol Cholesterol-lowering Medicine High Cholesterol Statistics and Maps High Cholesterol Facts High Cholesterol Maps ... Deo R, et al. Heart disease and stroke statistics—2017 update: a report from the American Heart ...
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Energy Technology Data Exchange (ETDEWEB)
Hill, O. F.; Platt, A. M.; Robinson, J. V. [comps
1983-05-01
This reference provides significant highlights and summary facts in the following areas: general energy; nuclear energy; nuclear fuel cycle; uranium supply and enrichment; nuclear reactors; spent fuel and advanced repacking concepts; reprocessing; high-level waste; gaseous waste; transuranic waste; low-level waste; remedial action; transportation; disposal; radiation information; environment; legislation; socio-political aspects; conversion factors; and a glossary. (GHT)
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Learn about fumigant gas from treated fields (often covered with plastic tarps), some chemical and trade names of these agricultural products, signs and symptoms of pesticide exposure, and how to avoid or report or treat pesticide illness.
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... Standard Drink? Drinking Levels Defined Alcohol Facts and Statistics Print version Alcohol Use in the United States: ... 1238–1245, 2004. PMID: 15010446 National Center for Statistics and Analysis. 2014 Crash Data Key Findings (Traffic ...
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Food Preparation. I: Food Facts for Home. II: Facts about Foodservice.
Procter and Gamble Educational Services, Cincinnati, OH.
This package is intended for use in home economics classes focusing on nutrition and food preparation and service. The teaching guide is divided into two parts. The first centers on selected first-time facts on nutrition, meal planning, and basic food preparation skills. It includes modules on nutrition, meal management, initial steps in food…
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Simulation of convection-driven wet-chemical etching
Driesen, C.H.
1999-01-01
In a wet-chemical etching process, the resulting etched shape is smaller than the originally designed shape at the mask. This is caused by the fact that, as soon as material next to the mask is dissolved, material under the mask will be dissolved too. This is the so-called undercut effect. During an
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Search as Learning (Dagstuhl Seminar 17092)
Collins-Thompson, Kevyn; Hansen, Preben; Hauff, Claudia
2017-01-01
This report describes the program and the results of Dagstuhl Seminar 17092 "Search as Learning", which brought together 26 researchers from diverse research backgrounds. The motivation for the seminar stems from the fact that modern Web search engines are largely engineered and optimized to fulfill lookup tasks instead of complex search tasks. The latter though are an essential component of information discovery and learning. The 3-day seminar started with four perspective talks, providing f...
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Overall view of chemical and biochemical weapons.
Pitschmann, Vladimír
2014-06-04
This article describes a brief history of chemical warfare, which culminated in the signing of the Chemical Weapons Convention. It describes the current level of chemical weapons and the risk of using them. Furthermore, some traditional technology for the development of chemical weapons, such as increasing toxicity, methods of overcoming chemical protection, research on natural toxins or the introduction of binary technology, has been described. In accordance with many parameters, chemical weapons based on traditional technologies have achieved the limit of their development. There is, however, a big potential of their further development based on the most recent knowledge of modern scientific and technical disciplines, particularly at the boundary of chemistry and biology. The risk is even higher due to the fact that already, today, there is a general acceptance of the development of non-lethal chemical weapons at a technologically higher level. In the future, the chemical arsenal will be based on the accumulation of important information from the fields of chemical, biological and toxin weapons. Data banks obtained in this way will be hardly accessible and the risk of their materialization will persist.
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Overall View of Chemical and Biochemical Weapons
Directory of Open Access Journals (Sweden)
Vladimír Pitschmann
2014-06-01
Full Text Available This article describes a brief history of chemical warfare, which culminated in the signing of the Chemical Weapons Convention. It describes the current level of chemical weapons and the risk of using them. Furthermore, some traditional technology for the development of chemical weapons, such as increasing toxicity, methods of overcoming chemical protection, research on natural toxins or the introduction of binary technology, has been described. In accordance with many parameters, chemical weapons based on traditional technologies have achieved the limit of their development. There is, however, a big potential of their further development based on the most recent knowledge of modern scientific and technical disciplines, particularly at the boundary of chemistry and biology. The risk is even higher due to the fact that already, today, there is a general acceptance of the development of non-lethal chemical weapons at a technologically higher level. In the future, the chemical arsenal will be based on the accumulation of important information from the fields of chemical, biological and toxin weapons. Data banks obtained in this way will be hardly accessible and the risk of their materialization will persist.
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Attacking Machine Learning models as part of a cyber kill chain
Nguyen, Tam N.
2017-01-01
Machine learning is gaining popularity in the network security domain as many more network-enabled devices get connected, as malicious activities become stealthier, and as new technologies like Software Defined Networking emerge. Compromising machine learning model is a desirable goal. In fact, spammers have been quite successful getting through machine learning enabled spam filters for years. While previous works have been done on adversarial machine learning, none has been considered within...
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... label> Information For… Media Policy Makers Facts about Birth Defects Language: English (US) Español (Spanish) Recommend on ... having a baby born without a birth defect. Birth Defects Are Common Every 4 ½ minutes, a ...
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... Micronutrient Malnutrition State and Local Programs Facts about Physical Activity Recommend on Facebook Tweet Share Compartir Some Americans ... Activity Guideline for aerobic activity than older adults. Physical activity and socioeconomic status Adults with more education are ...
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Sleep stages, memory and learning.
Dotto, L
1996-04-15
Learning and memory can be impaired by sleep loss during specific vulnerable "windows" for several days after new tasks have been learned. Different types of tasks are differentially vulnerable to the loss of different stages of sleep. Memory required to perform cognitive procedural tasks is affected by the loss of rapid-eye-movement (REM) sleep on the first night after learning occurs and again on the third night after learning. REM-sleep deprivation on the second night after learning does not produce memory deficits. Declarative memory, which is used for the recall of specific facts, is not similarly affected by REM-sleep loss. The learning of procedural motor tasks, including those required in many sports, is impaired by the loss of stage 2 sleep, which occurs primarily in the early hours of the morning. These findings have implications for the academic and athletic performance of students and for anyone whose work involves ongoing learning and demands high standards of performance.
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How to Read a Nutrition Facts Label
Full Text Available ... A) Staying Safe Videos for Educators Search English Español How to Read a Nutrition Facts Label (Video) ... Read a Nutrition Facts Label (Video) Print en español Cómo leer las etiquetas de datos nutricionales (video) ...
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An investigation of the role of background music in IVWs for learning
Directory of Open Access Journals (Sweden)
Debbie Richards
2008-12-01
Full Text Available Empirical evidence is needed to corroborate the intuitions of gamers and game developers in understanding the benefits of Immersive Virtual Worlds (IVWs as a learning environment and the role that music plays within these environments. We report an investigation to determine if background music of the genre typically found in computer-based role-playing games has an effect on learning in a computer-animated history lesson about the Macquarie Lighthouse within an IVW. In Experiment 1, music stimuli were created from four different computer game soundtracks. Seventy-two undergraduate students watched the presentation and completed a survey including biographical details, questions on the historical material presented and questions relating to their perceived level of immersion. While the tempo and pitch of the music was unrelated to learning, music conditions resulted in a higher number of accurately remembered facts than the no music condition. One soundtrack showed a statistically significant improvement in memorisation of facts over other music conditions. Also an interaction between the levels of perceived immersion and ability to accurately remember facts was observed. Experiment 2, involving 48 undergraduate students, further investigated the effect of music, sense of immersion and how different display systems affect memory for facts.
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Understanding the triple nature of the chemical bond on submicroscopic level
Klun, Tina
2017-01-01
The master’s thesis addresses three definitions of chemical bond with particular emphasis on the sub-microscopic level in a comprehensive manner. Slovenian pupils are taught about chemical bond for the first time in the eighth grade of primary school as part of learning about the connection between particles. Due to the abstract nature of the notion chemical bond, it is essential that pupils are encouraged to learn about the topic on the macroscopic, sub microscopic and symbolic level as this...
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International Nuclear Information System (INIS)
Morrison, Lisa M.
2004-01-01
This paper will summarize best practices in incident investigation in the chemical process industries and will provide examples from both the industry sector and specifically from NOVA Chemicals. As a sponsor of the Center for Chemical Process Safety (CCPS), an industry technology alliance of the American Institute of Chemical Engineers, NOVA Chemicals participates in a number of working groups to help develop best practices and tools for the chemical process and associated industries in order to advance chemical process safety. A recent project was to develop an update on guidelines for investigating chemical process incidents. A successful incident investigation management system must ensure that all incidents and near misses are reported, that root causes are identified, that recommendations from incident investigations identify appropriate preventive measures, and that these recommendations are resolved in a timely manner. The key elements of an effective management system for incident investigation will be described. Accepted definitions of such terms as near miss, incident, and root cause will be reviewed. An explanation of the types of incident classification systems in use, along with expected levels of follow-up, will be provided. There are several incident investigation methodologies in use today by members of the CCPS; most of these methodologies incorporate the use of several tools. These tools include: timelines, sequence diagrams, causal factor identification, brainstorming, checklists, pre-defined trees, and team-defined logic trees. Developing appropriate recommendations and then ensuring their resolution is the key to prevention of similar events from recurring, along with the sharing of lessons learned from incidents. There are several sources of information on previous incidents and lessons learned available to companies. In addition, many companies in the chemical process industries use their own internal databases to track recommendations from
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Organizational Learning through Knowledge Acquisitions
Amiryany Araghy, N.; Huysman, M.H.; de Man, A.P.; Cloodt, M.; Vrontis, D.; Weber, Y.; Kaufmann, R.; Tarba, S.
2008-01-01
Many acquisitions in the high-tech industry are motivated by a desire to share knowledge in order to stimulate organizational learning, with the ultimate aim of innovation. However, acquiring a firm does not guarantee that valuable knowledge will be successfully shared. Recent research has in fact
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Virtual Mechatronic/Robotic Laboratory--A Step Further in Distance Learning
Potkonjak, Veljko; Vukobratovi, Miomir; Jovanovi, Kosta; Medenica, Miroslav
2010-01-01
The implementation of the distance learning and e-learning in technical disciplines (like Mechanical and Electrical Engineering) is still far behind the grown practice in narrative disciplines (like Economy, management, etc.). This comes out from the fact that education in technical disciplines inevitably involves laboratory exercises and this…
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Grist and mills: on the cultural origins of cultural learning
Heyes, Cecilia
2012-01-01
Cumulative cultural evolution is what ‘makes us odd’; our capacity to learn facts and techniques from others, and to refine them over generations, plays a major role in making human minds and lives radically different from those of other animals. In this article, I discuss cognitive processes that are known collectively as ‘cultural learning’ because they enable cumulative cultural evolution. These cognitive processes include reading, social learning, imitation, teaching, social motivation and theory of mind. Taking the first of these three types of cultural learning as examples, I ask whether and to what extent these cognitive processes have been adapted genetically or culturally to enable cumulative cultural evolution. I find that recent empirical work in comparative psychology, developmental psychology and cognitive neuroscience provides surprisingly little evidence of genetic adaptation, and ample evidence of cultural adaptation. This raises the possibility that it is not only ‘grist’ but also ‘mills’ that are culturally inherited; through social interaction in the course of development, we not only acquire facts about the world and how to deal with it (grist), we also build the cognitive processes that make ‘fact inheritance’ possible (mills). PMID:22734061
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Full Text Available ... Day Diabetes Basics Home Symptoms Diagnosis America's Diabetes Challenge Type 1 Type 2 Facts About Type 2 ... Planner, and tips from experts Let's Be Well: Products to help you thrive with diabetes - lets-be- ...
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Full Text Available ... Your Risk Alert Day Diabetes Basics Home Symptoms Diagnosis America's Diabetes Challenge Type 1 Type 2 Facts ... Online Community Site Menu Are You at Risk? Diagnosis Lower Your Risk Risk Test Alert Day Prediabetes ...
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... Information For… Media Policy Makers Facts About Folic Acid Language: English (US) Español (Spanish) Recommend on Facebook ... of the baby’s brain and spine. About folic acid Folic acid is a B vitamin. Our bodies ...
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Full Text Available ... August 1, 2013 Last Edited: October 27, 2015 Articles from Diabetes Forecast® magazine: lp-type-2, . In this section Diabetes Basics Type 2 Facts About Type 2 Recently Diagnosed Treatment and Care Blood ...
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Design and analysis of questionnaires for survey skills in chemical engineering
Directory of Open Access Journals (Sweden)
Susana Lucas
2011-09-01
Full Text Available 800x600 Normal 0 21 false false false CA X-NONE X-NONE The new reorganization of university education has involved relevant changes in teaching and learning methodologies in order to help students to learn more effectively and to develop important skills and competences demanded by the professional world. In this sense the new configuration of the degree in Chemical Engineering required the identification of the main general and transferable skills, the implementation of the new teaching and learning strategies necessary to achieve them and, in addition, an evaluation procedure for determining the importance and the degree of development of a student´s skills and competences. In this exercise, two obligatory chemical reactor engineering subjects of the still in effect Chemical Engineering degree were chosen as examples of competence-based learning disciplines. For each one, a significant group of transferable and specific skills were selected to be developed. The identification and selection of skills was made according to the recommendations of the European Federation of Chemical Engineering (EFCE together with the established requirements in the ministerial order for the new Chemical Engineering Degree (Ministerial order CIN/351/2009. In order to check the effectiveness of teaching strategies in helping students to acquire these abilities, specific questionnaires were designed. These tests allowed for the utility of the competences in question to be evaluated in terms of the students´ professional work as future chemical engineering graduates and also facilitated the perception of skill development acquired through the methodology implemented in these subjects. The results of the skill evaluation questionnaires revealed the importance that both university collectives (students and professors give to the development of transferable skills. These skills included the ability to communicate effectively (including in English, to work in
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CMS, Outreach
2010-01-01
2-sided color print A4 size sheet containing the facts on the CMS Detector, its name, what it is designed to do, questions scientists hope to answer, collaboration members, detector parts and their functions, and other miscellaneous facts on the CMS detector
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Full Text Available ... org > Diabetes Basics > Type 2 Share: Print Page Text Size: A A A Listen En Español Facts ... Type 2 Education Series Hear audio clips and full recordings of past Q&A events at your ...
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Full Text Available ... for Association Events Messaging Tools Recruiting Advocates Local Market Planning Training Webinars News & Events Advocacy News Call ... Diabetes Basics > Type 2 Share: Print Page Text Size: A A A Listen En Español Facts About ...
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Ogletree, Glenda Lee
This study investigated the science pedagogical content knowledge (PCK) among teachers as they taught the concept of chemical change to fifth grade students. The purpose was to identify teachers' PCK and its impact in middle grade science classrooms. A second purpose was to investigate the possible relationship of teachers' science PCK to teacher actions and student learning outcomes in the classroom. The instruments used to capture PCK were background and demographic information, Content Representations (CoRe), and Professional and Pedagogical experience Repertoire (PaP-eR). The study investigated CoRe and PaP-eR with seven classroom teachers as they planned and taught chemical change to fifth grade students. Four levels of a Pedagogical Content Knowledge rubric were used to describe varying levels of PCK. The four levels were content knowledge of chemical change; knowledge of students' thinking; knowledge of how to represent chemical change to promote student learning; and professional development, collaboration, and leadership roles in science. The Reformed Teaching Observation Protocol (RTOP) described and evaluated science teaching performance levels of the teachers. In this study, 176 students were assessed to determine understanding of chemical change. There was a significant correlation between teachers' PCK scores and student achievement. The study also determined that a significant correlation existed between teachers' PCK scores and their RTOP scores revealing that RTOP scores could be predictors of PCK. Through this approach, understandings of PCK emerged that are of interest to university preservice preparation programs, research in understanding effective teachers and teaching, and the planning and implementation of professional development for teachers of science with middle grade students.
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Directory of Open Access Journals (Sweden)
Paulo Prochno
2004-07-01
Full Text Available Learning curves have been studied for a long time. These studies provided strong support to the hypothesis that, as organizations produce more of a product, unit costs of production decrease at a decreasing rate (see Argote, 1999 for a comprehensive review of learning curve studies. But the organizational mechanisms that lead to these results are still underexplored. We know some drivers of learning curves (ADLER; CLARK, 1991; LAPRE et al., 2000, but we still lack a more detailed view of the organizational processes behind those curves. Through an ethnographic study, I bring a comprehensive account of the first year of operations of a new automotive plant, describing what was taking place on in the assembly area during the most relevant shifts of the learning curve. The emphasis is then on how learning occurs in that setting. My analysis suggests that the overall learning curve is in fact the result of an integration process that puts together several individual ongoing learning curves in different areas throughout the organization. In the end, I propose a model to understand the evolution of these learning processes and their supporting organizational mechanisms.
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Bregar, Anja
2017-01-01
Physical and chemical changes are learning contents that address the essential chemical concepts in processes at particle level. When explaining chemical concepts at particle level, it is necessary to use various and appropriate visualization elements, such as (1) pictures, (2) photographs, (3) film excerpts (4) 2D or 3D stationary submicroscopic representations, (5) 2D and 3D dynamic contamination schemes, etc. This way, teachers can explain and interpret a chemical concept on three presenta...
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Energy in Sweden. Facts and figures 2005
International Nuclear Information System (INIS)
2005-12-01
Energy in Sweden. Facts and Figures 2005 contains the tabular data for most of the diagrams in the main publication. These data consist primarily of the results of the Agency's processing of basic data from Statistics Sweden. Facts and Figures is available at www.stem.se in pdf- and excel file formats. With effect from the 2001 edition, statistics are of preliminary character for the two preceding years (2003 and 2004). Breakdowns into certain types of fuels vary somewhat depending on whether preliminary or final data has been used. Further information about the statistics can be found in Energy in Sweden, chapter 8 Energy Facts
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A Study on the Role of Drama in Learning Mathematics
Elahe Masoum; Mohsen Rostamy-Malkhalifeh; Zahra Kalantarnia
2013-01-01
Present educational systems needs modern strategies for teaching and learning. Mathematics education has to change for students in elementary schools. One of the modern strategies, it is drama activities. The drama is as empirical aspect of learning. The student may learn from what they are doing in drama. They are so active instead having a passive shape in drama, in fact, students are learning, finding experiences and new paths from drama as well. The students could find its capabilities, r...
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Rianawati
2017-01-01
Background doing the research is Social skills is an individual's ability to communicate effectively with others, both verbally and nonverbally. Facts social attitudes such selfishness, individualism, indifferent, no responsible attitude, miss communication and interaction with others. One Cooperative-learning strategy to develop cooperation…
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Some Surprising Introductory Physics Facts and Numbers
Mallmann, A. James
2016-01-01
In the entertainment world, people usually like, and find memorable, novels, short stories, and movies with surprise endings. This suggests that classroom teachers might want to present to their students examples of surprising facts associated with principles of physics. Possible benefits of finding surprising facts about principles of physics are…
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Teaching Chemical Equilibrium with the Jigsaw Technique
Doymus, Kemal
2008-01-01
This study investigates the effect of cooperative learning (jigsaw) versus individual learning methods on students' understanding of chemical equilibrium in a first-year general chemistry course. This study was carried out in two different classes in the department of primary science education during the 2005-2006 academic year. One of the classes…
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Full Text Available ... Alert Day Diabetes Basics Home Symptoms Diagnosis America's Diabetes Challenge Type 1 Type 2 Facts About Type 2 Enroll in ... Where Do I Begin With Type2? Living With Type 1 Diabetes Enroll in the Living WIth Type 2 Diabetes ...
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International Nuclear Waste Management Fact Book
International Nuclear Information System (INIS)
Leigh, I.W.
1994-05-01
International Nuclear Waste Management Fact Book has been compiled in an effort to provide current data concerning fuel cycle and waste management facilities, R ampersand D programs, and key personnel in 24 countries, including the US, four multinational agencies and 21 nuclear societies. This publication succeeds the previously issued International Nuclear Fuel Cycle Fact Book (PNL-3594), which appeared annually for 13 years. While the title is different, there are no substantial changes in the content
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International nuclear fuel cycle fact book
International Nuclear Information System (INIS)
1992-09-01
The International Nuclear Fuel Cycle Fact Book has been compiled in an effort to provide current data concerning fuel cycle and waste management facilities, R ampersand D programs and key personnel on 23 countries, including the US, four multi-national agencies, and 21 nuclear societies. The Fact Book is organized as follows: National summaries-a section for each country which summarizes nuclear policy, describes organizational relationships, and provides addresses and names of key personnel and information on facilities. International agencies-a section for each of the international agencies which has significant fuel cycle involvement and a listing of nuclear societies. Glossary-a list of abbreviations/acronyms of organizations, facilities, technical and other terms. The national summaries, in addition to the data described above, feature a small map for each country as well as some general information. The latter presented from the perspective of the Fact Book user in the United States
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Ellis, Violet Adams
2016-01-01
Proving a child has been adequately educated is manifest through assessments evaluating the recall of facts or the deciphering of codes. How this information is taught and learned is the issue. Webb's depth of knowledge (DOK) and Bloom's taxonomy are cognitive models that drive instruction in today's classrooms. According to these models,…
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Perceived Benefits of Technology Enhanced Learning by Learners in Uganda: Three Band Benefits
Kafuko M. Maria; Namisango Fatuma; Byomire Gorretti
2016-01-01
Mobile learning (m-learning) is steadily growing and has undoubtedly derived benefits to learners and tutors in different learning environments. This paper investigates the variation in benefits derived from enhanced classroom learning through use of m-learning platforms in the context of a developing country owing to the fact that it is still in its initial stages. The study focused on how basic technology-enhanced pedagogic innovation like cell phone-based learning is enhancing classroom le...
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Directory of Open Access Journals (Sweden)
Susila Sumartiningsih
2015-06-01
Full Text Available ABSTRACT The learning model is one of the enabling factors that influence the achievement of students. That students have a good learning outcomes the lecturer must choose appropriate learning models. But in fact not all lecturers choose the most appropriate learning model with the demands of learning outcomes and student characteristics.The study design was descriptive quantitative correlation. Total population of 785 the number of samples are 202 were taken by purposive sampling. Techniques of data collection is done by cross-sectional and then processed through the Spearman test. The results showed no significant relationship between classroom lecture method in the context of blended learning models to study the effectiveness perspective the p value of 0.001. There is a significant relationship between e-learning methods in the context of blended learning models with perspective of activities study of nursing students the p value of 0.028. There is a significant relationship between learning model of blended learning with the perspective of nursing students learning effectiveness p value 0.167. Researchers recommend to future researchers conduct more research on the comparison between the effectiveness of the learning model based on student learning centers with the e-learning models and its impact on student achievement of learning competencies as well as to the implications for other dimensions of learning outcomes and others.
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professional development through informal learning' : workshop
dr.ir. Quinta Kools
2013-01-01
professional development through informal learning In planning professional development for teachers or teacher educators, very often a formal course or training is offered. There is a lack of attention for the fact that a lot of professional development takes place at work through so-called
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5G technologies boosting efficient mobile learning
Directory of Open Access Journals (Sweden)
Leligou Helen C.
2017-01-01
Full Text Available The needs for education, learning and training proliferate primarily due to the facts that economy becomes more and more knowledge based (mandating continuous lifelong learning and people migrate among countries, which introduces the need for learning other languages, for training on different skills and learning about the new cultural and societal framework. Given that in parallel, time schedules continuously become tighter, learning through mobile devices continuously gains in popularity as it allows for learning anytime, anywhere. To increase the learning efficiency, personalisation (in terms of selecting the learning content, type and presentation and adaptation of the learning experience in real time based on the experienced affect state are key instruments. All these user requirements challenge the current network architectures and technologies. In this paper, we investigate the requirements implied by efficient mobile learning scenarios and we explore how 5G technologies currently under design/testing/validation and standardisation meet these requirements.
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Facts about Volunteers. NCJW Center for the Child Fact Sheet Number 5.
National Council of Jewish Women, New York, NY. Center for the Child.
Volunteering is a vital and widespread activity in the United States; in fact, volunteers perform many essential community functions. Those who believe that most volunteers are women with time on their hands, that volunteers just do "charity work," and that volunteers are a source of cheap labor who can replace paid professionals and…
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Zebrafish as a Model to Study NF1-Associated Learning Deficits
2016-07-01
and Spencer, 1966). The duration of habituated behavior provides a metric for nonassociative learning ( short - term habituation) and memory formation...ing memory . We evaluated learning by exposing larvae to dark- flash stimuli delivered at 3 s interstimulus intervals (ISIs) and measuring short - term ...behavioral outcomes. The fact that we observed robust improve- ments in learning and memory in our experiments even though we used only short - term
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Full Text Available ... from Diabetes Forecast® magazine: lp-type-2, . In this section Diabetes Basics Type 2 Facts About Type ... ensureArray(data.submitSurveyResponse.errors); $.each(surveyErrors, function () { if (this.errorField) { $('input[name="' + this.errorField + '"]').closest('.form-group') . ...
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Homosexuality: Facts for Teens
... Talking to Your Kids About VirginityTalking to Your Kids About Sex Home Family Health Kids and Teens Homosexuality: Facts ... by: familydoctor.org editorial staff Categories: Family Health, Kids and Teens, Prevention and Wellness, Sex and Birth Control, Sex and SexualityTags: female, Gay ...
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Effects of ocean acidification on learning in coral reef fishes.
Directory of Open Access Journals (Sweden)
Maud C O Ferrari
Full Text Available Ocean acidification has the potential to cause dramatic changes in marine ecosystems. Larval damselfish exposed to concentrations of CO(2 predicted to occur in the mid- to late-century show maladaptive responses to predator cues. However, there is considerable variation both within and between species in CO(2 effects, whereby some individuals are unaffected at particular CO(2 concentrations while others show maladaptive responses to predator odour. Our goal was to test whether learning via chemical or visual information would be impaired by ocean acidification and ultimately, whether learning can mitigate the effects of ocean acidification by restoring the appropriate responses of prey to predators. Using two highly efficient and widespread mechanisms for predator learning, we compared the behaviour of pre-settlement damselfish Pomacentrus amboinensis that were exposed to 440 µatm CO(2 (current day levels or 850 µatm CO(2, a concentration predicted to occur in the ocean before the end of this century. We found that, regardless of the method of learning, damselfish exposed to elevated CO(2 failed to learn to respond appropriately to a common predator, the dottyback, Pseudochromis fuscus. To determine whether the lack of response was due to a failure in learning or rather a short-term shift in trade-offs preventing the fish from displaying overt antipredator responses, we conditioned 440 or 700 µatm-CO(2 fish to learn to recognize a dottyback as a predator using injured conspecific cues, as in Experiment 1. When tested one day post-conditioning, CO(2 exposed fish failed to respond to predator odour. When tested 5 days post-conditioning, CO(2 exposed fish still failed to show an antipredator response to the dottyback odour, despite the fact that both control and CO(2-treated fish responded to a general risk cue (injured conspecific cues. These results indicate that exposure to CO(2 may alter the cognitive ability of juvenile fish and render
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International Nuclear Information System (INIS)
Radicella, Renato
2007-01-01
The Chernobyl accident and its consequences are briefly outlined in order to provide a synthesis of the facts from the most reliable sources. The paper describes in main lines the accident and the measures that were taken to mitigate its effects. The data on the radiation doses received by the population and the effects of the accident on the human health as well as on the environment are summarized. (author) [es
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Directory of Open Access Journals (Sweden)
Maja Zupančič
2010-07-01
Full Text Available Knowledge of the characteristics of psychological functioning in the elderly is a precondition for preservation and improvement of their competences, welfare and inclusion in the society. This article presents the findings of the Slovene research study about the knowledge of the facts concerning aging and the characteristics of the elderly, based on an extensive sample of adults of different ages and of different educational backgrounds. Acquaintance with the facts concerning the elderly grows with the level of education; the young during the period of transition into adulthood on the one hand and older people on the other, however, tend to have a lower awareness of the relevant facts. In general, understanding of the psychological aspects of aging, the characteristics of the elderly and their ability to learn, change and work is relatively low. Most adults are familiar with the facts concerning the physical condition, health and some peculiarities of psychological functioning in the elderly. However, mistaken beliefs reflecting negative attitudes to aging and older people are relatively widespread, especially with regard to the cognitive, or rather, a wider range of psychosocial functioning of the elderly. Therefore, we believe that both formal and informal education require provision of appropriate information for adults.
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Fake facts and alternative truths in medical research.
Hofmann, Bjørn
2018-01-27
Fake news and alternative facts have become commonplace in these so-called "post-factual times." What about medical research - are scientific facts fake as well? Many recent disclosures have fueled the claim that scientific facts are suspect and that science is in crisis. Scientists appear to engage in facting interests instead of revealing interesting facts. This can be observed in terms of what has been called polarised research, where some researchers continuously publish positive results while others publish negative results on the same issue - even when based on the same data. In order to identify and address this challenge, the objective of this study is to investigate how polarised research produce "polarised facts." Mammography screening for breast cancer is applied as an example. The main benefit with mammography screening is the reduced breast cancer mortality, while the main harm is overdiagnosis and subsequent overtreatment. Accordingly, the Overdiagnosis to Mortality Reduction Ratio (OMRR) is an estimate of the risk-benefit-ratio for mammography screening. As there are intense interests involved as well as strong opinions in debates on mammography screening, one could expect polarisation in published results on OMRR. A literature search identifies 8 studies publishing results for OMRR and reveals that OMRR varies 25-fold, from 0.4 to 10. Two experts in polarised research were asked to rank the attitudes of the corresponding authors to mammography screening of the identified publications. The results show a strong correlation between the OMRR and the authors' attitudes to screening (R = 0.9). Mammography screening for breast cancer appears as an exemplary field of strongly polarised research. This is but one example of how scientists' strong professional interests can polarise research. Instead of revealing interesting facts researchers may come to fact interests. In order to avoid this and sustain trust in science, researchers should disclose
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Unsupervised learning of facial expression components
Egede, Joy Onyekachukwu
2013-01-01
The face is one of the most important means of non-verbal communication. A lot of information can be gotten about the emotional state of a person just by merely observing their facial expression. This is relatively easy in face to face communication but not so in human computer interaction. Supervised learning has been widely used by researchers to train machines to recognise facial expressions just like humans. However, supervised learning has significant limitations one of which is the fact...
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Power system stability enhancement using facts controllers: a review
International Nuclear Information System (INIS)
Abido, M. A
2009-01-01
In recent years, power demand has increased substantially while the expansion of power generation and transmission has been severely limited due to limited resources and environmental restrictions. As a consequence, some transmission lines are heavily loaded and the system stability becomes a power transfer-limiting factor. Flexible AC transmission systems (FACTS) controllers have been mainly used for solving various power system steady state control problems. However, recent studies reveal that FACTS controllers could be employed to enhance power system stability in addition to their main function of power flow control. The literature shows an increasing interest in this subject for the last two decades, where the enhancement of system stability using FACTS controllers has been extensively investigated. This paper presents a comprehensive review on the research and developments in the power system stability enhancement using FACTS damping controllers. Several technical issues related to FACTS installations have been highlighted and performance comparison of different FACTS controllers has been discussed. In addition, some of the utility experience, real-world installations, and semiconductor technology development have been reviewed and summarized. Applications of FACTS to other power system studies have also been discussed. About two hundred twenty seven research publications have been classified and appended for a quick reference. (author)
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International Nuclear Information System (INIS)
Buenemann, D.
1979-07-01
This compilation of facts has been published on behalf of Kerntechnische Gesellschaft (Society for Nuclear Engineering), as a basis for the discussion between promoters and opponents of nuclear power. It intends to make the nuclear discussion less emotional by providing relevant data material. (orig./HP) [de
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Facts about Vitamin K 1 R. Elaine Turner and Wendy J. Dahl 2 FCS8666 Figure 1. Vitamin K is mostly found in vegetables, especially green ... ColognePhotos/iStock/Thinkstock, © ColognePhotos Why do we need vitamin K? Vitamin K is one of the fat- ...
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... night will make you fat. FACT: People who eat late at night do tend to put on extra weight. One possible reason is that late-night eaters tend to choose high-calorie treats. Some people who snack after dinner do not sleep well, which can lead to ...
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31 CFR 306.95 - Attorneys in fact.
2010-07-01
... recognized until the Bureau receives proof of revocation or proof of the grantor's death or incompetency. (b... to by an officer who has access to the records: (1) A copy of the resolution of the governing body... fact, or (3) A copy of the resolution of the governing body directly appointing an attorney in fact. If...
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International Nuclear Information System (INIS)
Heinzle, J Mark; Uggla, Claes
2009-01-01
We consider the dynamics towards the initial singularity of Bianchi type IX vacuum and orthogonal perfect fluid models with a linear equation of state. Surprisingly few facts are known about the 'Mixmaster' dynamics of these models, while at the same time most of the commonly held beliefs are rather vague. In this paper, we use Mixmaster facts as a base to build an infrastructure that makes it possible to sharpen the main Mixmaster beliefs. We formulate explicit conjectures concerning (i) the past asymptotic states of type IX solutions and (ii) the relevance of the Mixmaster/Kasner map for generic past asymptotic dynamics. The evidence for the conjectures is based on a study of the stochastic properties of this map in conjunction with dynamical systems techniques. We use a dynamical systems formulation, since this approach has so far been the only successful path to obtain theorems, but we also make comparisons with the 'metric' and Hamiltonian 'billiard' approaches.
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Brewing as a Comprehensive Learning Platform in Chemical Engineering
Nielsen, Rudi P.; Sørensen, Jens L.; Simonsen, Morten E.; Madsen, Henrik T.; Muff, Jens; Strandgaard, Morten; Søgaard, Erik G.
2016-01-01
Chemical engineering is mostly taught using traditional classroom teaching and laboratory experiments when possible. Being a wide discipline encompassing topics such as analytical chemistry, process design, and microbiology, it may be argued that brewing of beer has many relations to chemical engineering topic-wise. This work illustrates how…
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Advancing Sustainable Materials Management: Facts and Figures Report
Each year EPA releases the Advancing Sustainable Materials Management: Facts and Figures report, formerly called Municipal Solid Waste in the United States: Facts and Figures. It includes information on Municipal Solid Waste generation, recycling, an
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Cheng, Feixiong; Shen, Jie; Yu, Yue; Li, Weihua; Liu, Guixia; Lee, Philip W; Tang, Yun
2011-03-01
There is an increasing need for the rapid safety assessment of chemicals by both industries and regulatory agencies throughout the world. In silico techniques are practical alternatives in the environmental hazard assessment. It is especially true to address the persistence, bioaccumulative and toxicity potentials of organic chemicals. Tetrahymena pyriformis toxicity is often used as a toxic endpoint. In this study, 1571 diverse unique chemicals were collected from the literature and composed of the largest diverse data set for T. pyriformis toxicity. Classification predictive models of T. pyriformis toxicity were developed by substructure pattern recognition and different machine learning methods, including support vector machine (SVM), C4.5 decision tree, k-nearest neighbors and random forest. The results of a 5-fold cross-validation showed that the SVM method performed better than other algorithms. The overall predictive accuracies of the SVM classification model with radial basis functions kernel was 92.2% for the 5-fold cross-validation and 92.6% for the external validation set, respectively. Furthermore, several representative substructure patterns for characterizing T. pyriformis toxicity were also identified via the information gain analysis methods. Copyright © 2010 Elsevier Ltd. All rights reserved.
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Machine learning on geospatial big data
CSIR Research Space (South Africa)
Van Zyl, T
2014-02-01
Full Text Available When trying to understand the difference between machine learning and statistics, it is important to note that it is not so much the set of techniques and theory that are used but more importantly the intended use of the results. In fact, many...
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... assistance. The principal contributors to this brochure were Charles E. Williams, III, Dorothy Tan-Wilhelm, Rene D. ... can you avoid or prevent it? This booklet will give you information about silicosis, what causes it, ...
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Chemical evolution of galaxies
Matteucci, Francesca
2012-01-01
The term “chemical evolution of galaxies” refers to the evolution of abundances of chemical species in galaxies, which is due to nuclear processes occurring in stars and to gas flows into and out of galaxies. This book deals with the chemical evolution of galaxies of all morphological types (ellipticals, spirals and irregulars) and stresses the importance of the star formation histories in determining the properties of stellar populations in different galaxies. The topic is approached in a didactical and logical manner via galaxy evolution models which are compared with observational results obtained in the last two decades: The reader is given an introduction to the concept of chemical abundances and learns about the main stellar populations in our Galaxy as well as about the classification of galaxy types and their main observables. In the core of the book, the construction and solution of chemical evolution models are discussed in detail, followed by descriptions and interpretations of observations of ...
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Getting a New Pancreas: Facts about Pancreas Transplants
... 2003 December 2006 March 2012 Getting A New Pancreas Facts About Pancreas Transplants American Society of Transplantation 1120 Route 73, ... the views of the Society. _________________________________________________________________ Getting a New Pancreas Facts About Pancreas Transplants When you get a ...
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Energy in Sweden. Facts and figures 2004
International Nuclear Information System (INIS)
2004-12-01
Energy in Sweden 2004: Facts and Figures contains the tabular data for most of the diagrams in the main publication. These data consist primarily of the results of the Agency's processing of basic data from Statistics Sweden. Facts and Figures is available at www.stem.se in pdf- and excel file formats. Since the year 2001 statistics for the period 1983-1998 are revised compared to data for previous editions. With effect from the 2001 edition, statistics are of preliminary character for the two preceding years. Breakdowns into certain types of fuels vary somewhat depending on whether preliminary or final data has been used. Further information about the statistics can be found in Energy in Sweden, chapter 8 Energy Facts.
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International nuclear cycle fact book: Revision 9
International Nuclear Information System (INIS)
Leigh, I.W.
1989-01-01
The International Nuclear Fuel Cycle Fact Book has been compiled in an effort to provide current data concerning fuel cycle and waste management facilities, R and D programs and key personnel. The Fact Book contains: national summaries in which a section for each country which summarizes nuclear policy, describes organizational relationships and provides addresses, names of key personnel, and facilities information; and international agencies in which a section for each of the international agencies which has significant fuel cycle involvement, and a listing of nuclear societies. The national summaries, in addition to the data described above, feature a small map for each country as well as some general information. The latter is presented from the perspective of the Fact Book user in the United States
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Brand switching and toxic chemicals in cigarette smoke: A national study.
Mendel, Jennifer R; Baig, Sabeeh A; Hall, Marissa G; Jeong, Michelle; Byron, M Justin; Morgan, Jennifer C; Noar, Seth M; Ribisl, Kurt M; Brewer, Noel T
2018-01-01
US law requires disclosure of quantities of toxic chemicals (constituents) in cigarette smoke by brand and sub-brand. This information may drive smokers to switch to cigarettes with lower chemical quantities, under the misperception that doing so can reduce health risk. We sought to understand past brand-switching behavior and whether learning about specific chemicals in cigarette smoke increases susceptibility to brand switching. Participants were US adult smokers surveyed by phone (n = 1,151, probability sample) and online (n = 1,561, convenience sample). Surveys assessed whether smokers had ever switched cigarette brands or styles to reduce health risk and about likelihood of switching if the smoker learned their brand had more of a specific chemical than other cigarettes. Chemicals presented were nicotine, carbon monoxide, lead, formaldehyde, arsenic, and ammonia. Past brand switching to reduce health risk was common among smokers (43% in phone survey, 28% in online survey). Smokers who were female, over 25, and current "light" cigarette users were more likely to have switched brands to reduce health risks (all p brand switching based on information about particular chemicals. In both samples, lead, formaldehyde, arsenic, and ammonia led to more susceptibility to switch than nicotine (all p brands or styles to reduce health risks. The majority said they might or would definitely switch brands if they learned their cigarettes had more of a toxic chemical than other brands. Brand switching is a probable unintended consequence of communications that show differences in smoke chemicals between brands.
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Chen, Ming-Puu; Wong, Yu-Ting; Wang, Li-Chun
2014-01-01
The purpose of this study was to examine the effects of the type of exploratory strategy and level of prior knowledge on middle school students' performance and motivation in learning chemical formulas via a 3D role-playing game (RPG). Two types of exploratory strategies-RPG exploratory with worked-example and RPG exploratory without…
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Robotic toys for the disabled: new opportunities to learn, participate, have fun
Directory of Open Access Journals (Sweden)
Serenella Besio
2009-01-01
Full Text Available The reflection and research on an obvious problem, in pedagogy, psychology and clinical psychology: the fact that some populations of children - because of functional limitations or environmental deprivation - the experience of the game is precluded, and their development appears to be reduced by the fact that it 'was defined as the royal road to learning.
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Leadership: sad facts and silver linings.
Peters, T J
1979-01-01
The typical CEO has endless interruptions and limited options for action. In addition, he may not even hear about his choices, or any bad news that might require action, until it is almost too late. Finally, any decision he does make will probably require months or years to implement fully. This author suggests that this gloomy picture has another side. In fact, each of these "sad facts" of managerial life can be turned into an opportunity to communicate values and to persuade, and they add up to a new notion of the chief executive's function.
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Davey, Kenneth
2017-01-01
A detailed study of learning and teaching (L&T) of chemical engineering distillation to a mixed-ability small class of 13 students who are ordinarily full-time in-house employees in industry is reported. The course consisted of 9 × 2-h lectures (18 hours) and 9 × 2-h tutorials (18 hours). It was delivered over nine business days "in…
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Relationship between the Learning Styles Preferences and Academic Achievement
Awang, H.; Samad, N. Abd; Faiz, N. S. Mohd; Roddin, R.; Kankia, J. D.
2017-08-01
The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptual of learning. This article studies the learning style profile exhibited by students towards the academic achievement in Malaysian Polytechnic. The relationship between learning styles of Polytechnic students and their academic achievement based on VARK learning styles model. The target population was international business students of Malaysian Polytechnic. By means of randomly sampling method, 103 students were selected as sample of research. By descriptive - survey research method and a questionnaire adapted from VARK Learning Style Index, required data were collected. According to the results, no significantly difference between learning style and academic achievement of students. Students academic achievement was quite similar to their individual learning styles. These facts reveal that each learning style has its own strengths and weaknesses.
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Innovations in Undergraduate Chemical Biology Education.
Van Dyke, Aaron R; Gatazka, Daniel H; Hanania, Mariah M
2018-01-19
Chemical biology derives intellectual vitality from its scientific interface: applying chemical strategies and perspectives to biological questions. There is a growing need for chemical biologists to synergistically integrate their research programs with their educational activities to become holistic teacher-scholars. This review examines how course-based undergraduate research experiences (CUREs) are an innovative method to achieve this integration. Because CUREs are course-based, the review first offers strategies for creating a student-centered learning environment, which can improve students' outcomes. Exemplars of CUREs in chemical biology are then presented and organized to illustrate the five defining characteristics of CUREs: significance, scientific practices, discovery, collaboration, and iteration. Finally, strategies to overcome common barriers in CUREs are considered as well as future innovations in chemical biology education.
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Marketing Plan Competition for Experiential Learning
Civi, Emin; Persinger, Elif S.
2011-01-01
Many students find traditional lectures, routine memorization, and restatement of facts and terms tedious and boring (Munoz and Huser, 2008). This requires professors to employ a variety of teaching techniques, for example, live case classroom projects. Such an experiential learning opportunity encourages students to become involved with the…
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'Steps in the learning Process'
International Nuclear Information System (INIS)
Cheung, Kyung Mo; Cheung, Hwan
1984-01-01
The process by which a student learns is extremely complicated. Whether he is simply learning facts, laws or formulae, changing his values or mastering a skill the way in which his brain functions is impossible to describe. The idea of learning domains is put forward not to explain in biological terms what happens in the brain but simply to attempt to break the system down into simpler units so that the learning process can be organized in an easier, more systematic way. In the most commonly used description of this process, the one described by BLOOM, this is BLOOM's Taxonomy. In addition to, I'd like to compare with the work of Lewis (Levels of Knowledge and Understanding). As a result, let us discuss about the most effective method in teaching in order to supply high-quality education
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Open University Learning Analytics dataset.
Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek
2017-11-28
Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.
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Pu, Ying-Hung; Wu, Ting-Ting; Chiu, Po-Sheng; Huang, Yueh-Min
2016-01-01
In recent years, along with the development of mobile technology, vocational nursing education has improved greatly. In light of this emerging mobile technology, it brings the clinical practice of vocational nursing education closer to authentic learning than ever. In fact, some studies revealed that learners' learn states and learning outcomes…
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SchNet - A deep learning architecture for molecules and materials
Schütt, K. T.; Sauceda, H. E.; Kindermans, P.-J.; Tkatchenko, A.; Müller, K.-R.
2018-06-01
Deep learning has led to a paradigm shift in artificial intelligence, including web, text, and image search, speech recognition, as well as bioinformatics, with growing impact in chemical physics. Machine learning, in general, and deep learning, in particular, are ideally suitable for representing quantum-mechanical interactions, enabling us to model nonlinear potential-energy surfaces or enhancing the exploration of chemical compound space. Here we present the deep learning architecture SchNet that is specifically designed to model atomistic systems by making use of continuous-filter convolutional layers. We demonstrate the capabilities of SchNet by accurately predicting a range of properties across chemical space for molecules and materials, where our model learns chemically plausible embeddings of atom types across the periodic table. Finally, we employ SchNet to predict potential-energy surfaces and energy-conserving force fields for molecular dynamics simulations of small molecules and perform an exemplary study on the quantum-mechanical properties of C20-fullerene that would have been infeasible with regular ab initio molecular dynamics.
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Mastering the Multiplication Facts
D'Ettorre, Jenna
2009-01-01
The purpose of this paper is to share the results of a six-week research project (after baseline data was collected) that focused on three different strategies (flashcards, interactive games, and music) and their effectiveness in helping fifth grade students memorize the basic multiplication facts. Many teachers face a serious problem when their…
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Thorndike Revisited--Some Facts
Tuinman, J. Jaap
1971-01-01
Examines some historical facts surrounding Thorndike's 1917 article, Reading as Reasoning: A Study of Mistakes in Paragraph Reading," (republished in Reading Research Quarterly, 1971, 6, 425-48), in an attempt to put the article in its proper perspective both as a research study and as a contribution to the psychology of reading. (VJ)
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Best Management Practice Fact Sheet. 12, Filtering Practices
Sample, David; Barlow, Stefani
2013-01-01
This fact sheet is one of a 15-part series on urban stormwater management practices. This fact sheet discusses filtering practices, what they are, where they are used, how they work, maintenance, limitations, performance, expected costs and includes a glossary of terms.
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Best Management Practice Fact Sheet. 10, Dry Swale
Sample, David; Doumar, Lia
2013-01-01
This fact sheet is one of a 15-part series on urban stormwater management practices. This fact sheet discusses dry swales, what they are, where they are used, how they work, maintenance, limitations, performance, expected costs and includes a glossary of terms.
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Best Management Practice Fact Sheet. 11, Wet Swale
Sample, David; Doumar, Lia
2013-01-01
This fact sheet is one of a 15-part series on urban stormwater management practices. This fact sheet discusses wet swales, what they are, where they are used, how they work, maintenance, limitations, performance, expected costs and includes a glossary of terms.
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Optimization of drilling mud conditioning for chemically enhanced centrifuging
Energy Technology Data Exchange (ETDEWEB)
Wojtanowicz, A. K. [Louisiana State Univ., Baton Rouge, LA (United States); Ye, Y. [Jianghan Petroleum Institute, Beijing, (China)
1998-05-01
A simple method (the nine point (9-P) experiment) for finding optimum chemical conditioning that would maximize mud volume reduction, (i.e. enhance water removal or dewatering) and minimize the cost of the chemicals required, was described. The 9-P experiment is based on the statistical theory of factorial analysis and derives its name from the fact that it requires only nine tests to find the optimum treatment. The experimental design and the method of analysis are described. When compared to conventional trial-and-error approaches, the 9-P method showed a 1.78 to 2.35-fold increase in volume reduction efficiency, and up to 3.7-fold reduction in chemical usage.
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NJ transportation fact book, 2007
2010-01-01
The New Jersey Transportation Fact Book 2006-07 presents information about the New Jersey Department of Transportation : and other agencies that provide transportation services in New Jersey. We hope it will prove helpful.
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Alzheimer's Disease Facts and Figures
Full Text Available ... Join the Cause alz.org >> Alzheimer's & Dementia >> Home Text size: A A A 2018 Alzheimer's Disease Facts and Figures Download the full report: Download the Infographic: English Spanish Share the ...
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Full Text Available ... You at Risk? Home Prevention Diagnosing Diabetes and Learning About Prediabetes Type 2 Diabetes Risk Test Lower ... EXPO Volunteer Opportunities Sponsorship and Exhibit Opportunities Camp Learning at Camp Find a Camp Fundraising Events Step ...
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Dental Health: The Basic Facts
Dental Health THE BASIC FACTS MULTIPLE SCLEROSIS Kim, diagnosed in 1986 People with a chronic disease may neglect their general health and wellness, research shows. Dental care is no exception. A tendency to focus ...
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2008 public transportation fact book
2008-06-01
This Public Transportation Fact Book presents statistics describing the entire United States transit industry for 1995 : through 2006 with additional detail and overview presentations for 2006. Also included are definitions of reported data : items.
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2010 public transportation fact book
2010-04-01
The Public Transportation Fact Book, published annually, contains national aggregate statistical data covering all aspects of the transit industry in the United States and Canada. Two appendices, also available, provide additional in-depth informatio...
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Facts about Jaundice and Kernicterus
... Search Form Controls Cancel Submit Search the CDC Jaundice & Kernicterus Note: Javascript is disabled or is not ... Websites Information For… Media Policy Makers Facts about Jaundice and Kernicterus Recommend on Facebook Tweet Share Compartir ...
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Back Pain Facts and Statistics
... Marketing Patient Fact Sheets Contact the ACA State Licensing Boards Research JMPT Abstracts Latest Issue Evidence in ... Chiropractic Posture Backpack Safety Spinal Health Winter Activities Kids and Sports Exercising Outdoors with Baby Gardening Chronic ...
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Definition and Facts for Constipation
... Causes Diagnosis Treatment Eating, Diet, & Nutrition Clinical Trials Definition & Facts for Constipation What is constipation? Constipation is ... and Treatment. New York, NY: Springer Science and Business Media; 2014. May 2018 Share Previous: Constipation Next: ...
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Alzheimer's Disease Facts and Figures
... Dementia >> Home Text size: A A A 2018 Alzheimer's Disease Facts and Figures Download the full report: ... twice as high. Invest in a world without Alzheimer's. Donate Caregivers Eighty-three percent of the help ...
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... Submit Search The CDC Chronic Obstructive Pulmonary Disease (COPD) Note: Javascript is disabled or is not supported ... message, please visit this page: About CDC.gov . COPD Homepage Data and Statistics Fact Sheets Publications Publications ...
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Thai students' mental model of chemical bonding
Sarawan, Supawadee; Yuenyong, Chokchai
2018-01-01
This Research was finding the viewing about concept of chemical bonding is fundamental to subsequent learning of various other topics related to this concept in chemistry. Any conceptions about atomic structures that students have will be shown their further learning. The purpose of this study is to interviews conceptions held by high school chemistry students about metallic bonding and to reveal mental model of atomic structures show according to the educational level. With this aim, the questionnaire prepared making use of the literature and administered for analysis about mental model of chemical bonding. It was determined from the analysis of answers of questionnaire the 10th grade, 11th grade and 12th grade students. Finally, each was shown prompts in the form of focus cards derived from curriculum material that showed ways in which the bonding in specific metallic substances had been depicted. Students' responses revealed that learners across all three levels prefer simple, realistic mental models for metallic bonding and reveal to chemical bonding.
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International Nuclear Fuel Cycle Fact Book
Energy Technology Data Exchange (ETDEWEB)
Leigh, I.W.; Patridge, M.D.
1991-05-01
As the US Department of Energy (DOE) and DOE contractors have become increasingly involved with other nations in nuclear fuel cycle and waste management cooperative activities, a need has developed for a ready source of information concerning foreign fuel cycle programs, facilities, and personnel. This Fact Book was compiled to meet that need. The information contained in the International Nuclear Fuel Cycle Fact Book has been obtained from many unclassified sources: nuclear trade journals and newsletters; reports of foreign visits and visitors; CEC, IAEA, and OECN/NEA activities reports; not reflect any one single source but frequently represent a consolidation/combination of information.
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Directory of Open Access Journals (Sweden)
Agus Wahidi
2017-03-01
Full Text Available This research is experimental, using first class learning a quantum model of learning with concept maps media and the second media using real environments by power point presentation. The population is all class XI Science, number 2 grade. The sampling technique is done by purposive random sampling. Data collection techniques to test for cognitive performance and memory capabilities, with a questionnaire for creativity. Hypothesis testing using three-way ANOVA different cells with the help of software Minitab 15.Based on the results of data processing, concluded: (1 there is no influence of the quantum model of learning with media learning concept maps and real environments for learning achievement chemistry, (2 there is a high impact memory ability and low on student achievement, (3 there is no the effect of high and low creativity in student performance, (4 there is no interaction learning model quantum media learning concept maps and real environments with memory ability on student achievement, (5 there is no interaction learning model quantum media learning concept maps and real environments with creativity of student achievement, (6 there is no interaction memory skills and creativity of student achievement, (7 there is no interaction learning model quantum media learning concept maps and real environments, memory skills, and creativity on student achievement.
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Reenu; Vikas
2015-09-01
Various quantum-mechanically computed molecular and thermodynamic descriptors along with physico-chemical, electrostatic and topological descriptors are compared while developing quantitative structure-activity relationships (QSARs) for the acute toxicity of 252 diverse organic chemicals towards Daphnia magna. QSAR models based on the quantum-chemical descriptors, computed with routinely employed advanced semi-empirical and ab-initio methods, along with the electron-correlation contribution (CORR) of the descriptors, are analyzed for the external predictivity of the acute toxicity. The models with reliable internal stability and external predictivity are found to be based on the HOMO energy along with the physico-chemical, electrostatic and topological descriptors. Besides this, the total energy and electron-correlation energy are also observed as highly reliable descriptors, suggesting that the intra-molecular interactions between the electrons play an important role in the origin of the acute toxicity, which is in fact an unexplored phenomenon. The models based on quantum-chemical descriptors such as chemical hardness, absolute electronegativity, standard Gibbs free energy and enthalpy are also observed to be reliable. A comparison of the robust models based on the quantum-chemical descriptors computed with various quantum-mechanical methods suggests that the advanced semi-empirical methods such as PM7 can be more reliable than the ab-initio methods which are computationally more expensive. Copyright © 2015 Elsevier Inc. All rights reserved.
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Chemical tools: epoxic resins; Herramientas quimicas: resinas epoxidicas
Energy Technology Data Exchange (ETDEWEB)
Paz, S.; Pazos, M.; Prendes, P.
1998-10-01
Epoxy resins are very useful products for different applications in different fields. Due to the fact that they are a highly versatile products they can be considered as chemical tools. However the epoxy resins must be correctly formulated in order to obtain the final properties. In this article an easy and reliable method to optimise the energy formulation is presented. (Author)
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International Nuclear Information System (INIS)
1987-01-01
This report presents the important facts among the studies carried out by the Direction des Etudes et Recherches (E.D.F.): new applications of electric power for customers, protection of environment, classical equipments for power plants and nuclear equipments, monitoring and control of power plants, electrical equipments, development and operation of electrical networks, informatics and office automation [fr
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Duker, Laurie, Ed.
Minimal federal regulations on firearm sales have facilitated the proliferation of guns, gun owners, and gun dealers in the United States. This fact sheet offers data on the growing number of firearm dealers, the relative ease of obtaining and keeping a license to sell guns from the Federal Bureau of Alcohol, Tobacco, and Firearms, the lack of…
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Filtering Dialysis Myths from Facts
... to work. Fact: Many dialysis patients continue to work, go to school, or volunteer . Some take time off when they first start dialysis treatment and back to work or school after they have gotten used to ...
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Tuberculosis Facts - Exposure to TB
Tuberculosis (TB) Facts Exposure to TB What is TB? “TB” is short for a disease called tuberculosis. TB is spread through the air from one ... Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination
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Tuberculosis Facts - Testing for TB
Tuberculosis (TB) Facts Testing for TB What is TB? “TB” is short for a disease called tuberculosis. TB is spread through the air from one ... Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination
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Machine Learning and Inverse Problem in Geodynamics
Shahnas, M. H.; Yuen, D. A.; Pysklywec, R.
2017-12-01
During the past few decades numerical modeling and traditional HPC have been widely deployed in many diverse fields for problem solutions. However, in recent years the rapid emergence of machine learning (ML), a subfield of the artificial intelligence (AI), in many fields of sciences, engineering, and finance seems to mark a turning point in the replacement of traditional modeling procedures with artificial intelligence-based techniques. The study of the circulation in the interior of Earth relies on the study of high pressure mineral physics, geochemistry, and petrology where the number of the mantle parameters is large and the thermoelastic parameters are highly pressure- and temperature-dependent. More complexity arises from the fact that many of these parameters that are incorporated in the numerical models as input parameters are not yet well established. In such complex systems the application of machine learning algorithms can play a valuable role. Our focus in this study is the application of supervised machine learning (SML) algorithms in predicting mantle properties with the emphasis on SML techniques in solving the inverse problem. As a sample problem we focus on the spin transition in ferropericlase and perovskite that may cause slab and plume stagnation at mid-mantle depths. The degree of the stagnation depends on the degree of negative density anomaly at the spin transition zone. The training and testing samples for the machine learning models are produced by the numerical convection models with known magnitudes of density anomaly (as the class labels of the samples). The volume fractions of the stagnated slabs and plumes which can be considered as measures for the degree of stagnation are assigned as sample features. The machine learning models can determine the magnitude of the spin transition-induced density anomalies that can cause flow stagnation at mid-mantle depths. Employing support vector machine (SVM) algorithms we show that SML techniques
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Publication bias and the canonization of false facts
DEFF Research Database (Denmark)
Nissen, Silas Boye; Magidson, Tali; Gross, Kevin
2016-01-01
canonized as fact. Data-dredging, p-hacking, and similar behaviors exacerbate the problem. Should negative results become easier to publish as a claim approaches acceptance as a fact, however, true and false claims would be more readily distinguished. To the degree that the model reflects the real world...
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50 Facts about Oral, Head and Neck Cancer
... Marketplace Find an ENT Doctor Near You 50 Facts about Oral, Head and Neck Cancer 50 Facts about Oral, Head and Neck Cancer Patient Health ... cancer has increased in all races and both sexes. Thyroid cancers account for ... who work in environments with dust, glues, formaldehyde, mustard gas, ...
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75 FR 55340 - Recovery Fact Sheet 9580.100, Mold Remediation
2010-09-10
...] Recovery Fact Sheet 9580.100, Mold Remediation AGENCY: Federal Emergency Management Agency, DHS. ACTION... accepting comments on Recovery Fact Sheet RP9580.100, Mold Remediation. DATES: Comments must be received by... 20472-3100. II. Background The Recovery Fact Sheet RP9580.100, Mold Remediation, identifies the expenses...
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Designing for deeper learning in a blended computer science course for middle school students
Grover, Shuchi; Pea, Roy; Cooper, Stephen
2015-04-01
The focus of this research was to create and test an introductory computer science course for middle school. Titled "Foundations for Advancing Computational Thinking" (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving. FACT was also piloted as a seven-week course on Stanford's OpenEdX MOOC platform for blended in-class learning. Unique aspects of FACT include balanced pedagogical designs that address the cognitive, interpersonal, and intrapersonal aspects of "deeper learning"; a focus on pedagogical strategies for mediating and assessing for transfer from block-based to text-based programming; curricular materials for remedying misperceptions of computing; and "systems of assessments" (including formative and summative quizzes and tests, directed as well as open-ended programming assignments, and a transfer test) to get a comprehensive picture of students' deeper computational learning. Empirical investigations, accomplished over two iterations of a design-based research effort with students (aged 11-14 years) in a public school, sought to examine student understanding of algorithmic constructs, and how well students transferred this learning from Scratch to text-based languages. Changes in student perceptions of computing as a discipline were measured. Results and mixed-method analyses revealed that students in both studies (1) achieved substantial learning gains in algorithmic thinking skills, (2) were able to transfer their learning from Scratch to a text-based programming context, and (3) achieved significant growth toward a more mature understanding of computing as a discipline. Factor analyses of prior computing experience, multivariate regression analyses, and qualitative analyses of student projects and artifact-based interviews were conducted to better understand the factors affecting learning outcomes. Prior computing experiences (as measured by a pretest) and math ability were
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Advancing Consumer Product Composition and Chemical ...
This presentation describes EPA efforts to collect, model, and measure publically available consumer product data for use in exposure assessment. The development of the ORD Chemicals and Products database will be described, as will machine-learning based models for predicting chemical function. Finally, the talk describes new mass spectrometry-based methods for measuring chemicals in formulation and articles. This presentation is an invited talk to the ICCA-LRI workshop "Fit-For-Purpose Exposure Assessments For Risk-Based Decision Making". The talk will share EPA efforts to characterize the components of consumer products for use in exposure assessment with the international exposure science community.
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Optimal placement of FACTS devices using optimization techniques: A review
Gaur, Dipesh; Mathew, Lini
2018-03-01
Modern power system is dealt with overloading problem especially transmission network which works on their maximum limit. Today’s power system network tends to become unstable and prone to collapse due to disturbances. Flexible AC Transmission system (FACTS) provides solution to problems like line overloading, voltage stability, losses, power flow etc. FACTS can play important role in improving static and dynamic performance of power system. FACTS devices need high initial investment. Therefore, FACTS location, type and their rating are vital and should be optimized to place in the network for maximum benefit. In this paper, different optimization methods like Particle Swarm Optimization (PSO), Genetic Algorithm (GA) etc. are discussed and compared for optimal location, type and rating of devices. FACTS devices such as Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) are considered here. Mentioned FACTS controllers effects on different IEEE bus network parameters like generation cost, active power loss, voltage stability etc. have been analyzed and compared among the devices.
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Alzheimer's Disease Facts and Figures
Full Text Available ... 2018 Alzheimer's Disease Facts and Figures report contains data on the impact of this disease in every ... with third parties. Please read our security and privacy policy . Plan ahead Get help and support I ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... home care. Take action. Become an advocate SPECIAL REPORT: FINANCIAL AND PERSONAL BENEFITS OF EARLY DIAGNOSIS Early ... State The 2018 Alzheimer's Disease Facts and Figures report contains data on the impact of this disease ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... 272.3900 Donate Alzheimer's & Dementia What Is Alzheimer's? Brain Tour Younger/Early Onset Risk Factors Genetics Myths ... Dementia Korsakoff Syndrome Related Conditions CTE MCI Traumatic Brain Injury Facts and Figures Know the 10 Signs ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... Dementia >> Home Text size: A A A 2018 Alzheimer's Disease Facts and Figures Download the full report: ... twice as high. Invest in a world without Alzheimer's. Donate Caregivers Eighty-three percent of the help ...
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Interdisciplinary Aspects of Learning: Physics and Psychology
Oleg, Yavoruk
2015-01-01
The article deals with interdisciplinary aspects of learning in the case of physics and psychology. It describes the lab-based academic course focused on: observation and experimentation; discovery of new scientific facts; measurement; identification of errors; the study of psychological characteristics of people (time perception, the reaction…
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LEARNING ORGANISATION CHALLENGE FOR ROMANIAN PHARMACEUTICAL SMEs
Directory of Open Access Journals (Sweden)
Otilia-Maria BORDEIANU
2014-04-01
Full Text Available The concept of the learning organization has gone through many changes both theoretically and also as practical implementation. Learning organizations do not appear automatically, they require a strong commitment for developing the skills needed in the workplace, and this commitment should start from the top of the organization. The learning process should be managed at different levels within the organization. Learning, therefore, is made up of several different components and requires a special management. Successful companies are the result of carefully cultivated attitudes, commitments and management processes. This paper investigates the learning organization dimensions analysed in case of pharmaceutical SMEs from Romania. The results obtained in this study allow us to draw relevant conclusions, constituting a practical starting point for businesses. The paper highlights the fact that SMEs pharmaceutical companies have taken important steps toward learning organization model, but reaching different levels from one key dimension to another.
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Supporting Alternative Strategies for Learning Chemical Applications of Group Theory
Southam, Daniel C.; Lewis, Jennifer E.
2013-01-01
A group theory course for chemists was taught entirely with process oriented guided inquiry learning (POGIL) to facilitate alternative strategies for learning. Students completed a test of one aspect of visuospatial aptitude to determine their individual approaches to solving spatial tasks, and were sorted into groups for analysis on the basis of…
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International Nuclear Information System (INIS)
Stanbridge, R.; Dept. of Journalism, Media and Communication Studies)
1993-01-01
In these Search Strategies, searchers from different countries and professions are given a question to answer, a budget of Pounds 50 and a time in which to produce their report. We hope that these blow-by-blow accounts, together with the hints and tips picked up along the way, will help readers to develop their own search strategies. Journalists are more and more coming to use online services and here the author gives a journalist's account of tracking down the elusive facts surrounding the Chernobyl disaster. (author)
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Fonseca, Susana Cristina Morais da
Chemical Equilibrium (CE) is a good example of the specific nature of chemistry. The understanding of this theme requires the conceptualization of macroscopic events, as well as explanations of sub microscopic nature, application of symbolic language and mathematics. CE is commonly identified as a topic suitable for the pedagogical use of Information and Communication Technologies (ICT). However, the growth in the roll of digital resources for the teaching of CE, that took place in the last decades, was not accompanied by a decrease in the signalling of students' difficulties and misconceptions in the subject. This fact, points out the relevance of clarifying the circumstances under which digital resources turn out to be useful in the teaching of CE and develop educative modules that take into account the findings and recommendations from the literature. This project aims to bring a contribution to take advantage form ICT potential in the teaching of CE. The objectives underlying the main purpose of the project were defined according to literature review, which crosses three fundamental dimensions (scientific, pedagogical and technological). The project also benefited from the previous experience of the group and the collaboration with an European project (CROSSNET). The level of abstraction necessary for the understanding of the scientific model is pointed out as the major source of difficulties in the learning of CE, while also referred as a privileged target for the intervention of ICT. In this context, we introduce the expression "facilitating abstraction" to summarize the idea of supporting students' abstract thinking process during the learning of formal concepts. This idea has gained importance throughout the project leading to the development of a pedagogical approach to facilitate abstraction in the learning of CE. Although based on the use of ICT, the main purpose wasn't to introduce new digital resources in the saturated field of CE. Instead, the
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Darwinism Defined: The Difference Between Fact and Theory.
Gould, Stephen Jay
1987-01-01
Discusses various developments in both science and theology following the work of Charles Darwin on evolution. Differentiates between the facts regarding evolution and the theory of natural selection as a mechanism for evolutionary change. Warns that the differences between facts and theory have not been adequately emphasized by scientists. (TW)
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2012 Swimming Season Fact Sheets
To help beachgoers make informed decisions about swimming at U.S. beaches, EPA annually publishes state-by-state data about beach closings and advisories for the previous year's swimming season. These fact sheets summarize that information by state.
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Davey, Kenneth
2017-11-01
A detailed study of learning and teaching (L&T) of chemical engineering distillation to a mixed-ability small class of 13 students who are ordinarily full-time in-house employees in industry is reported. The course consisted of 9 × 2-h lectures (18 hours) and 9 × 2-h tutorials (18 hours). It was delivered over nine business days in situ in an established distillery. The purpose was to (re)learn core distillation of ethanol-water mixes at the level of higher education of a bachelor programme. There was 90% broad agreement that the course encouraged more learning. Students (40%) felt the course was too mathematical, however. Pointedly, there was good agreement (63%) that the course stimulated communication with each other professionally, and customers of the distillery. Results overall provide good evidence that students valued their L&T. The experimental design(s) could be readily applied to a range of fields of knowledge.
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E-learning: Web-based education.
Sajeva, Marco
2006-12-01
This review introduces state-of-the-art Web-based education and shows how the e-learning model can be applied to an anaesthesia department using Open Source solutions, as well as lifelong learning programs, which is happening in several European research projects. The definition of the term e-learning is still a work in progress due to the fact that technologies are evolving every day and it is difficult to improve teaching methodologies or to adapt traditional methods to a new or already existing educational model. The European Community is funding several research projects to define the new common market place for tomorrow's educational system; this is leading to new frontiers like virtual Erasmus inter-exchange programs based on e-learning. The first step when adapting a course to e-learning is to re-define the educational/learning model adopted: cooperative learning and tutoring are the two key concepts. This means that traditional lecture notes, books and exercises are no longer effective; teaching files must use rich multimedia content and have to be developed using the new media. This can lead to several pitfalls that can be avoided with an accurate design phase.
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The Effects of Smartphone Use on Organic Chemical Compound Learning
Zan, Nuray
2015-01-01
As a result of rapid technological advances, smartphones have recently enjoyed widespread use. The basic purpose of this study is to examine the effects of smartphones when they are used as educational tools in learning environments. To assess the effects of smartphone use on learning, this study uses smartphones as educational tools in a…
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Reynès, Christelle; Host, Hélène; Camproux, Anne-Claude; Laconde, Guillaume; Leroux, Florence; Mazars, Anne; Deprez, Benoit; Fahraeus, Robin; Villoutreix, Bruno O.; Sperandio, Olivier
2010-01-01
Protein-protein interactions (PPIs) may represent one of the next major classes of therapeutic targets. So far, only a minute fraction of the estimated 650,000 PPIs that comprise the human interactome are known with a tiny number of complexes being drugged. Such intricate biological systems cannot be cost-efficiently tackled using conventional high-throughput screening methods. Rather, time has come for designing new strategies that will maximize the chance for hit identification through a rationalization of the PPI inhibitor chemical space and the design of PPI-focused compound libraries (global or target-specific). Here, we train machine-learning-based models, mainly decision trees, using a dataset of known PPI inhibitors and of regular drugs in order to determine a global physico-chemical profile for putative PPI inhibitors. This statistical analysis unravels two important molecular descriptors for PPI inhibitors characterizing specific molecular shapes and the presence of a privileged number of aromatic bonds. The best model has been transposed into a computer program, PPI-HitProfiler, that can output from any drug-like compound collection a focused chemical library enriched in putative PPI inhibitors. Our PPI inhibitor profiler is challenged on the experimental screening results of 11 different PPIs among which the p53/MDM2 interaction screened within our own CDithem platform, that in addition to the validation of our concept led to the identification of 4 novel p53/MDM2 inhibitors. Collectively, our tool shows a robust behavior on the 11 experimental datasets by correctly profiling 70% of the experimentally identified hits while removing 52% of the inactive compounds from the initial compound collections. We strongly believe that this new tool can be used as a global PPI inhibitor profiler prior to screening assays to reduce the size of the compound collections to be experimentally screened while keeping most of the true PPI inhibitors. PPI-HitProfiler is
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Directory of Open Access Journals (Sweden)
Christelle Reynès
2010-03-01
Full Text Available Protein-protein interactions (PPIs may represent one of the next major classes of therapeutic targets. So far, only a minute fraction of the estimated 650,000 PPIs that comprise the human interactome are known with a tiny number of complexes being drugged. Such intricate biological systems cannot be cost-efficiently tackled using conventional high-throughput screening methods. Rather, time has come for designing new strategies that will maximize the chance for hit identification through a rationalization of the PPI inhibitor chemical space and the design of PPI-focused compound libraries (global or target-specific. Here, we train machine-learning-based models, mainly decision trees, using a dataset of known PPI inhibitors and of regular drugs in order to determine a global physico-chemical profile for putative PPI inhibitors. This statistical analysis unravels two important molecular descriptors for PPI inhibitors characterizing specific molecular shapes and the presence of a privileged number of aromatic bonds. The best model has been transposed into a computer program, PPI-HitProfiler, that can output from any drug-like compound collection a focused chemical library enriched in putative PPI inhibitors. Our PPI inhibitor profiler is challenged on the experimental screening results of 11 different PPIs among which the p53/MDM2 interaction screened within our own CDithem platform, that in addition to the validation of our concept led to the identification of 4 novel p53/MDM2 inhibitors. Collectively, our tool shows a robust behavior on the 11 experimental datasets by correctly profiling 70% of the experimentally identified hits while removing 52% of the inactive compounds from the initial compound collections. We strongly believe that this new tool can be used as a global PPI inhibitor profiler prior to screening assays to reduce the size of the compound collections to be experimentally screened while keeping most of the true PPI inhibitors. PPI
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Reynès, Christelle; Host, Hélène; Camproux, Anne-Claude; Laconde, Guillaume; Leroux, Florence; Mazars, Anne; Deprez, Benoit; Fahraeus, Robin; Villoutreix, Bruno O; Sperandio, Olivier
2010-03-05
Protein-protein interactions (PPIs) may represent one of the next major classes of therapeutic targets. So far, only a minute fraction of the estimated 650,000 PPIs that comprise the human interactome are known with a tiny number of complexes being drugged. Such intricate biological systems cannot be cost-efficiently tackled using conventional high-throughput screening methods. Rather, time has come for designing new strategies that will maximize the chance for hit identification through a rationalization of the PPI inhibitor chemical space and the design of PPI-focused compound libraries (global or target-specific). Here, we train machine-learning-based models, mainly decision trees, using a dataset of known PPI inhibitors and of regular drugs in order to determine a global physico-chemical profile for putative PPI inhibitors. This statistical analysis unravels two important molecular descriptors for PPI inhibitors characterizing specific molecular shapes and the presence of a privileged number of aromatic bonds. The best model has been transposed into a computer program, PPI-HitProfiler, that can output from any drug-like compound collection a focused chemical library enriched in putative PPI inhibitors. Our PPI inhibitor profiler is challenged on the experimental screening results of 11 different PPIs among which the p53/MDM2 interaction screened within our own CDithem platform, that in addition to the validation of our concept led to the identification of 4 novel p53/MDM2 inhibitors. Collectively, our tool shows a robust behavior on the 11 experimental datasets by correctly profiling 70% of the experimentally identified hits while removing 52% of the inactive compounds from the initial compound collections. We strongly believe that this new tool can be used as a global PPI inhibitor profiler prior to screening assays to reduce the size of the compound collections to be experimentally screened while keeping most of the true PPI inhibitors. PPI-HitProfiler is
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Alzheimer's Disease Facts and Figures
Full Text Available ... health and long-term care costs. worried about memory loss? KNOW THE 10 SIGNS Alzheimer's Disease Facts ... Copyright © 2018 Alzheimer's Association ® . All rights reserved. Our vision is a world without Alzheimer's Formed in 1980, ...
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Alzheimer's Disease Facts and Figures
Full Text Available ... health and long-term care costs. worried about memory loss? KNOW THE 10 SIGNS Alzheimer's Disease Facts ... is a not-for-profit 501(c)(3) organization. Copyright © 2018 Alzheimer's Association ® . All rights reserved. Our ...
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Electric Dipole Theory of Chemical Synaptic Transmission
Wei, Ling Y.
1968-01-01
In this paper we propose that chemicals such as acetylcholine are electric dipoles which when oriented and arranged in a large array could produce an electric field strong enough to drive positive ions over the junction barrier of the post-synaptic membrane and thus initiate excitation or produce depolarization. This theory is able to explain a great number of facts such as cleft size, synaptic delay, nonregeneration, subthreshold integration, facilitation with repetition, and the calcium and magnesium effects. It also shows why and how acetylcholine could act as excitatory or inhibitory transmitters under different circumstances. Our conclusion is that the nature of synaptic transmission is essentially electrical, be it mediated by electrical or chemical transmitters. PMID:4296121
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Bravo, Àlex; Li, Tong Shu; Su, Andrew I; Good, Benjamin M; Furlong, Laura I
2016-01-01
Drug toxicity is a major concern for both regulatory agencies and the pharmaceutical industry. In this context, text-mining methods for the identification of drug side effects from free text are key for the development of up-to-date knowledge sources on drug adverse reactions. We present a new system for identification of drug side effects from the literature that combines three approaches: machine learning, rule- and knowledge-based approaches. This system has been developed to address the Task 3.B of Biocreative V challenge (BC5) dealing with Chemical-induced Disease (CID) relations. The first two approaches focus on identifying relations at the sentence-level, while the knowledge-based approach is applied both at sentence and abstract levels. The machine learning method is based on the BeFree system using two corpora as training data: the annotated data provided by the CID task organizers and a new CID corpus developed by crowdsourcing. Different combinations of results from the three strategies were selected for each run of the challenge. In the final evaluation setting, the system achieved the highest Recall of the challenge (63%). By performing an error analysis, we identified the main causes of misclassifications and areas for improving of our system, and highlighted the need of consistent gold standard data sets for advancing the state of the art in text mining of drug side effects.Database URL: https://zenodo.org/record/29887?ln¼en#.VsL3yDLWR_V. © The Author(s) 2016. Published by Oxford University Press.
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The Accountability Turn in Third Wave Human Rights Fact-Finding
Directory of Open Access Journals (Sweden)
Federica D'Alessandra
2017-04-01
Full Text Available Whereas the characteristics of human rights fact-finding largely vary depending on the typology and scope of the entity that carries it out, consensus seems to be developing that a common set of challenges to human rights fact-finding exists. This is especially so when carried out under United Nations auspices. For example, it has long been acknowledged that the very nature of the institution, sitting as it does at the crossroads of international politics, as well as the seemingly irresolvable tension between calls for human rights protection on the one hand, and State sovereignty on the other, present some structural challenges to human rights fact-finding. Furthermore, issues of coordination between the United Nations and other institutions (such as international governmental and non-governmental organisations, or international tribunals, as well as what some have called a ‘lack of institutional memory’ arguably often feature as regular traits among fact-finding mechanisms. In recent years, a further set of challenges has been added to the mix by additional requirements, featuring increasingly often in mandates, that instruct fact-finding mechanisms to make further determinations of facts (concerning, 'e.g.', the identity of those most responsible for the violations being documented, or the existence of an armed conflict and even consider questions of law ('e.g.' the qualification of the violations as crimes under international law. Building on an expanding body of scholarship on the subject, as well as the author’s own experience with fact-finding efforts sitting at the intersection between traditional international human rights law and international criminal justice, this article argues: (i that human rights fact-finding has evolved in three waves; (ii that the third wave of human rights fact-finding is characterised by an “accountability turn”; and that (iii this turn has brought about an additional set of challenges to the
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A Brief Review of Motivation for Second Language Learning
Institute of Scientific and Technical Information of China (English)
SONG Dan-gui
2014-01-01
It is an increasingly popular trend in the language field that people become bilingual or even multilingual, which expos-es the fact that people are strongly motivated to learn another language in addition to their mother tongue. A large-scale of re-search has confirmed that motivation, serving as the internal impulse and initiative taste for second language learning, is among on of the key factors in second language acquisition and learning. The paper reviews the recent available literature on motivation of second language learning from both theoretical and empirical perspectives, with the purpose of neatening the important theories and relevant empirical studies in the field of second language motivation.
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... Toluene - used to manufacture paint What's in an e-cigarette? Get the facts about nicotine, flavorings, colorings and other chemicals found in e-cigarettes. Find out more » Learn about the American Lung ...
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The function of mirror neurons in the learning process
Directory of Open Access Journals (Sweden)
Mara Daniel
2017-01-01
Full Text Available In the last years, Neurosciences have developed very much, being elaborated many important theories scientific research in the field. The main goal of neuroscience is to understand how groups of neurons interact to create the behavior. Neuroscientists studying the action of molecules, genes and cells. It also explores the complex interactions involved in motion perception, thoughts, emotions and learning. Brick fundamental nervous system is the nerve cell, neuron. Neurons exchange information by sending electrical signals and chemical through connections called synapses. Discovered by a group of Italian researchers from the University of Parma, neurons - mirror are a special class of nerve cells played an important role in the direct knowledge, automatic and unconscious environment. These cortical neurons are activated not only when an action is fulfilled, but when we see how the same action is performed by someone else, they represent neural mechanism by which the actions, intentions and emotions of others can be understood automatically. In childhood neurons - mirror are extremely important. Thanks to them we learned a lot in the early years: smile, to ask for help and, in fact, all the behaviors and family and group norms. People learn by what they see and sense the others. Neurons - mirror are important to understanding the actions and intentions of other people and learn new skills through mirror image. They are involved in planning and controlling actions, abstract thinking and memory. If a child observes an action, neurons - mirror is activated and forming new neural pathways as if even he takes that action. Efficient activity of mirror neurons leads to good development in all areas at a higher emotional intelligence and the ability to empathize with others.
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FACT. Energy spectrum of the Crab Nebula
Energy Technology Data Exchange (ETDEWEB)
Temme, Fabian; Einecke, Sabrina; Buss, Jens [TU Dortmund, Experimental Physics 5, Otto-Hahn-Str.4, 44221 Dortmund (Germany); Collaboration: FACT-Collaboration
2016-07-01
The First G-APD Cherenkov Telescope is the first Imaging Air Cherenkov Telescope which uses silicon photon detectors (G-APDs aka SiPM) as photo sensors. With more than four years of operation, FACT proved an application of SiPMs is suitable for the field of ground-based gamma-ray astronomy. Due to the stable flux at TeV energies, the Crab Nebula is handled as a ''standard candle'' in Cherenkov astronomy. The analysis of its energy spectrum and comparison with other experiments, allows to evaluate the performance of FACT. A modern analysis chain, based on data stream handling and multivariate analysis methods was developed in close cooperation with the department of computer science at the TU Dortmund. In this talk, this analysis chain and its application are presented. Further to this, results, including the energy spectrum of the Crab Nebula, measured with FACT, are shown.
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AutoFACT: An Automatic Functional Annotation and Classification Tool
Directory of Open Access Journals (Sweden)
Lang B Franz
2005-06-01
Full Text Available Abstract Background Assignment of function to new molecular sequence data is an essential step in genomics projects. The usual process involves similarity searches of a given sequence against one or more databases, an arduous process for large datasets. Results We present AutoFACT, a fully automated and customizable annotation tool that assigns biologically informative functions to a sequence. Key features of this tool are that it (1 analyzes nucleotide and protein sequence data; (2 determines the most informative functional description by combining multiple BLAST reports from several user-selected databases; (3 assigns putative metabolic pathways, functional classes, enzyme classes, GeneOntology terms and locus names; and (4 generates output in HTML, text and GFF formats for the user's convenience. We have compared AutoFACT to four well-established annotation pipelines. The error rate of functional annotation is estimated to be only between 1–2%. Comparison of AutoFACT to the traditional top-BLAST-hit annotation method shows that our procedure increases the number of functionally informative annotations by approximately 50%. Conclusion AutoFACT will serve as a useful annotation tool for smaller sequencing groups lacking dedicated bioinformatics staff. It is implemented in PERL and runs on LINUX/UNIX platforms. AutoFACT is available at http://megasun.bch.umontreal.ca/Software/AutoFACT.htm.
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International Nuclear Information System (INIS)
Huebel, Horst
2010-01-01
Traditionally in the center of interest on quantum physics referring to schools the question lies, whether electrons and photons are now particles or waves, a question, which is often characterized by the phrase ''wave-particle dualism'', which notoriously not exists in its original meaning. Against that by the author - basing on important preparatory works of Kueblbeck and Mueller - a new concept for the treatment of quantum physics for the school was proposed, which puts ''basic facts'' in the foreground, comparable with the Kueblbeck-Mueller ''characteristic features''. The ''basic facts'' are similar to axioms of quantum physics, by means of which a large number of experiments and phenomena can be ''explained'' at least qualitatively - in a heuristic way -. Instead of the so-called ''wave-particle dualism'' here uncertainty and complementarity are put in the foreground. The new concept is in the Internet under http://www.forphys.de extensively presented with many further materials. In the partial volumes of this publication manifold and carefully elaborated teaching materials are presented, by means of which scholars can get themselves the partial set of quantum physics referring to schools by different methods like learn at stations, short referates, Internet research, group puzzle, the query-sheet or the card-index method etc. In the present 2. part materials for the ''basic facts'' of quantum physics are prepared, by which also modern experiments can be interpreted. Here deals it with the getting of knowledge and application of the ''basic Facts''. This pursues also by real scholar experiments, simulations and analogy tests. The scholars obtain so more simply than generally a deeper insight in quantum physics.
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E-learning in the field of medical physics
International Nuclear Information System (INIS)
Stoeva, M.; Velkova, K.
2006-01-01
Full text: E-learning is an all-encompassing term referring to computer/mobile technology-enhanced learning. It may include the use of web-based teaching materials and hypermedia in general, multimedia CD-ROMs, web sites, discussion boards, collaborative software, e-mail, blogs, wikis, computer aided assessment, educational animation, simulations, learning management software and more, with possibly a combination of different methods being used. The objective of this paper is to present an overview of the e-learning solutions and applications in the field of Medical Physics, covering the most popular international and local e-learning projects and interactive e-learning environments. Medical physics and engineering is one of the areas where e-learning is widely used due to the fact that medical physic professionals are quite closely linked to different types of e-environments. The implementation of such systems improves education quality, information delivery and expert knowledge availability
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Facts about Tetralogy of Fallot
... Websites Information For… Media Policy Makers Facts about Tetralogy of Fallot Language: English (US) Español (Spanish) Recommend on Facebook ... in the mother’s womb during pregnancy. What is Tetralogy of Fallot? Tetralogy of Fallot is made up of the ...
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MOLT: A Mobile Learning Tool That Makes Learning New Technical English Language Words Enjoyable
Directory of Open Access Journals (Sweden)
Dogan - Ibrahim
2008-10-01
Full Text Available There is an increase use of wireless technologies in education all over the world. In fact, wireless technologies such as laptop computers, palmtop computers, and mobile phones are revolutionizing education and transforming the traditional classroom based learning and teaching into anytime and anywhere education. This paper investigates the use of wireless technologies in education with particular reference to the potential of learning new technical English Language words using SMS text messaging. The system, developed by the authors, called Mobile Learning Tool (MOLT, has been tested with 45 first-year undergraduate students. Students’ opinions have been collected after the experiment. Our results show that students enjoyed and be happy used mobile phones to learn new technical English word. We believe that if we add the improvements or modifications students wish to see in the MOLT system, then using the MOLT system as an educational tool will contribute to motivation and success of students.
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Worm, Bjarne Skjødt; Jensen, Kenneth
2013-01-01
Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students' learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.
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Worm, Bjarne Skjødt; Jensen, Kenneth
2013-01-01
Background and aims The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+). All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups) improved statistically significant compared to students at level 1 (p>0.05). There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05). Conclusions This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials. PMID:24229729
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Directory of Open Access Journals (Sweden)
Bjarne Skjødt Worm
2013-11-01
Full Text Available Background and aims : The fast development of e-learning and social forums demands us to update our understanding of e-learning and peer learning. We aimed to investigate if higher, pre-defined levels of e-learning or social interaction in web forums improved students’ learning ability. Methods : One hundred and twenty Danish medical students were randomized to six groups all with 20 students (eCases level 1, eCases level 2, eCases level 2+, eTextbook level 1, eTextbook level 2, and eTextbook level 2+. All students participated in a pre-test, Group 1 participated in an interactive case-based e-learning program, while Group 2 was presented with textbook material electronically. The 2+ groups were able to discuss the material between themselves in a web forum. The subject was head injury and associated treatment and observation guidelines in the emergency room. Following the e-learning, all students completed a post-test. Pre- and post-tests both consisted of 25 questions randomly chosen from a pool of 50 different questions. Results : All students concluded the study with comparable pre-test results. Students at Level 2 (in both groups improved statistically significant compared to students at level 1 (p>0.05. There was no statistically significant difference between level 2 and level 2+. However, level 2+ was associated with statistically significant greater student's satisfaction than the rest of the students (p>0.05. Conclusions : This study applies a new way of comparing different types of e-learning using a pre-defined level division and the possibility of peer learning. Our findings show that higher levels of e-learning does in fact provide better results when compared with the same type of e-learning at lower levels. While social interaction in web forums increase student satisfaction, learning ability does not seem to change. Both findings are relevant when designing new e-learning materials.
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Related Fact Checks: a tool for combating fake news
Guha, Sreya
2017-01-01
The emergence of "Fake News" and misinformation via online news and social media has spurred an interest in computational tools to combat this phenomenon. In this paper we present a new "Related Fact Checks" service, which can help a reader critically evaluate an article and make a judgment on its veracity by bringing up fact checks that are relevant to the article. We describe the core technical problems that need to be solved in building a "Related Fact Checks" service, and present results ...
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Less is More: How manipulative features affect children's learning from picture books.
Tare, Medha; Chiong, Cynthia; Ganea, Patricia; Deloache, Judy
2010-09-01
Picture books are ubiquitous in young children's lives and are assumed to support children's acquisition of information about the world. Given their importance, relatively little research has directly examined children's learning from picture books. We report two studies examining children's acquisition of labels and facts from picture books that vary on two dimensions: iconicity of the pictures and presence of manipulative features (or "pop-ups"). In Study 1, 20-month-old children generalized novel labels less well when taught from a book with manipulative features than from standard picture books without such elements. In Study 2, 30- and 36-month-old children learned fewer facts when taught from a manipulative picture book with drawings than from a standard picture book with realistic images and no manipulative features. The results of the two studies indicate that children's learning from picture books is facilitated by realistic illustrations, but impeded by manipulative features.
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Ensuring Educational Quality Means Assessing Learning
Kazin, Cathrael; Payne, David G.
2009-01-01
As many experienced board members know, given the national debate in recent years over institutional accountability, learning--the heart of the educational enterprise--is often treated as a by-product of other more measurable processes. The fact is, no matter how excellent the curricula, no matter how stellar the faculty, no matter how talented…
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Chan, Wai Meng; Kim, Dong-Ha
2004-01-01
Research in cognitive psychology and second language learning has underlined the significance of learners' cognitive processes and individual preferences in language learning. Helping learners to be aware of these processes and preferences has in fact become an important methodological principle of language teaching. Advances in information and…
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... to know FAQ Living donation What is living donation? Organs Types Being a living donor First steps Being ... brochures What Every Patient Needs to Know Living Donation Multiple Listing Visit UNOS Store Learn more How organs are matched How to become a living donor ...
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The new multimedia educational technologies, used in open and distance learning
Directory of Open Access Journals (Sweden)
Dieter Penteliuc-Cotoşman
2006-01-01
Full Text Available This paper reviews and refers to the latest telematics technology that has turned the open system learning and helped it to become an institutional alternative to the face-to-face traditional one. Most technologies, briefly presented here, will be implemented in the ARTeFACt project - telematic system for vocational education system of open system learning, "system which will be officially launched at the end of 2006, in the institutional offer of the Faculty of Arts of the University West of Timisoara. The scientific coordination of the doctoral project "ARTeFACt" is done by Mr. Prof. Dr. Eng. Savi G. George, representing the Department of Mechatronics Faculty of Mechanical Engineering from the University "Politehnica" of Timişoara, Romania
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Myths and Facts about SIDS and Safe Infant Sleep
... Myths and Facts About SIDS and Safe Infant Sleep Page Content Myth: Babies can “catch” SIDS. Fact: ... sleep environment for your baby. Myth: Babies who sleep on their backs will choke if they spit ...
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MIT Lincoln Laboratory Facts 2013
2012-12-01
creativity . Representative Technical Positions ■■ Aerospace engineer ■■ Applications engineer ■■ Bioengineer ■■ Biologist 16 Facts 2012–2013...schedules, part-time employment, and telecommuting opportunities. Child Care The Technology Children’s Center facility in Lexington (TCC Lincoln
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Alzheimer's Disease Facts and Figures
Full Text Available ... and support I have Alzheimer's I am a caregiver I am a care professional I am a physician I am a researcher Message boards Get the facts 10 warning signs & symptoms What is dementia What is Alzheimer's 7 stages of ...
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Lessons learned in building a global information network on chemicals (GINC)
International Nuclear Information System (INIS)
Kaminuma, Tsuguchika
2005-01-01
The Global Information Network on Chemicals (GINC) was a project to construct a worldwide information network linking international, national, and other organizations working for the safe management of chemicals. Proposed in 1993, the project started the next year and lasted almost 10 years. It was begun as a joint project of World Health Organization (WHO), International Labor Organization (ILO), and United Nations Environment Program (UNEP), and later endorsed by the Intergovernmental Forum on Chemical Safety (IFCS). Asia, particularly East Asia and the Pacific islands, was chosen as the feasibility study region. The author's group then at the National Institute of Health Sciences (NIHS) of Japan led this initiative and hosted numerous meetings. At these meetings, tutorial sessions for communicating chemical safety expertise and emerging new information technologies relevant to the safe management of chemicals were offered. Our experience with this project, particularly the Web-based system and the tutorial sessions, may be of use to others involved with Web-based instruction and the training of chemical safety specialists from both developed and developing countries
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Reinforcement learning in supply chains.
Valluri, Annapurna; North, Michael J; Macal, Charles M
2009-10-01
Effective management of supply chains creates value and can strategically position companies. In practice, human beings have been found to be both surprisingly successful and disappointingly inept at managing supply chains. The related fields of cognitive psychology and artificial intelligence have postulated a variety of potential mechanisms to explain this behavior. One of the leading candidates is reinforcement learning. This paper applies agent-based modeling to investigate the comparative behavioral consequences of three simple reinforcement learning algorithms in a multi-stage supply chain. For the first time, our findings show that the specific algorithm that is employed can have dramatic effects on the results obtained. Reinforcement learning is found to be valuable in multi-stage supply chains with several learning agents, as independent agents can learn to coordinate their behavior. However, learning in multi-stage supply chains using these postulated approaches from cognitive psychology and artificial intelligence take extremely long time periods to achieve stability which raises questions about their ability to explain behavior in real supply chains. The fact that it takes thousands of periods for agents to learn in this simple multi-agent setting provides new evidence that real world decision makers are unlikely to be using strict reinforcement learning in practice.
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Standardized quality in MOOC based learning
Directory of Open Access Journals (Sweden)
Maiorescu Irina
2015-04-01
Full Text Available Quality in the field of e-learning and, particularly, in the field of MOOC( Massive Open Online Courses, is a topic of growing importance in both academic institutions and in the private sector as it has generally been proved that quality management can contribute to improving the performance of organizations, regardless of their object of activity. Despite the fact that there are standards relating to quality management in a general manner, professionals, academic staff, specialists and bodies felt the need for having a standardized approach of the quality in the sector of e-learning. Therefore, in the last years, in different countries quality guidelines have been developed and used for e-Learning or distance education (for example the ASTD criteria for e- Learning, the BLA Quality Mark, Quality Platform Learning by D-ELAN etc.. The current paper aims to give insights to this new form of online education provided by MOOC platforms using the specific quality standard approach.
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Brand switching and toxic chemicals in cigarette smoke: A national study.
Directory of Open Access Journals (Sweden)
Jennifer R Mendel
Full Text Available US law requires disclosure of quantities of toxic chemicals (constituents in cigarette smoke by brand and sub-brand. This information may drive smokers to switch to cigarettes with lower chemical quantities, under the misperception that doing so can reduce health risk. We sought to understand past brand-switching behavior and whether learning about specific chemicals in cigarette smoke increases susceptibility to brand switching.Participants were US adult smokers surveyed by phone (n = 1,151, probability sample and online (n = 1,561, convenience sample. Surveys assessed whether smokers had ever switched cigarette brands or styles to reduce health risk and about likelihood of switching if the smoker learned their brand had more of a specific chemical than other cigarettes. Chemicals presented were nicotine, carbon monoxide, lead, formaldehyde, arsenic, and ammonia.Past brand switching to reduce health risk was common among smokers (43% in phone survey, 28% in online survey. Smokers who were female, over 25, and current "light" cigarette users were more likely to have switched brands to reduce health risks (all p < .05. Overall, 61-92% of smokers were susceptible to brand switching based on information about particular chemicals. In both samples, lead, formaldehyde, arsenic, and ammonia led to more susceptibility to switch than nicotine (all p < .05.Many US smokers have switched brands or styles to reduce health risks. The majority said they might or would definitely switch brands if they learned their cigarettes had more of a toxic chemical than other brands. Brand switching is a probable unintended consequence of communications that show differences in smoke chemicals between brands.
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Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Alabdulmohsin, Ibrahim; Cisse, Moustapha; Zhang, Xiangliang
2016-01-01
One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.
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Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Alabdulmohsin, Ibrahim
2016-09-03
One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.
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FACT — LONGTERM MONITORING OF BRIGHT TeV BLAZARS
Directory of Open Access Journals (Sweden)
Katja Meier
2014-06-01
Full Text Available The First G-APD Cherenkov Telescope (FACT, located on the Canary Island of La Palma, has been taking data since October 2011. FACT has been optimized for longterm monitoring of bright TeV blazars, to study their variability time scales and flare probability. G-APD photo-sensors allow for observations even under strong moonlight conditions, and the telescope can be operated remotely. The monitoring strategy of FACT is discussed and preliminary results of the flare of Mrk501 in June 2012 are shown.
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International Nuclear Information System (INIS)
Cohen, E.
2005-01-01
Full Text:The issue of Teaching physics vs Learning physics in our institutions of higher learning will be discussed. Physics is taught mainly by frontal lectures an old (and proven) method. The great advancements of the Information Age are introduced by exposing the students to vast amounts of computerized information and directing them to numerical problem solving by interacting with the computer. These modern methods have several drawbacks: 1. Students get the impression of easy material acquisition while in fact it becomes superficial. 2. There is little integration of topics that are taught in different courses. 3. Insufficient interest is built among undergraduate students to pursue studies that involve deeper thinking and independent research (namely, studies towards a doctoral degree). Learning physics is a formative process in the education of physicists, natural scientists and engineers. It must be based on discussions and exchange of ideas among the students, since understanding the studied material means being able to explain it to a colleague. Some universities in the US initiated programs of learning physics by creating an environment in which small groups of students are engaged in discussing material, jointly solving problems and jointly conducting simulated experiments. This is done under the supervision of a mentor. Suggestions for implementing this method in Israel will be discussed
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Energy Technology Data Exchange (ETDEWEB)
2004-01-01
This fact sheet explains the Clean Cities Program and provides contact information for all coalitions and regional offices. It answers key questions such as: What is the Clean Cities Program? What are alternative fuels? How does the Clean Cities Program work? What sort of assistance does Clean Cities offer? What has Clean Cities accomplished? What is Clean Cities International? and Where can I find more information?
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Ornostay, Anna; Cowie, Andrew M; Hindle, Matthew; Baker, Christopher J O; Martyniuk, Christopher J
2013-12-01
The herbicide linuron (LIN) is an endocrine disruptor with an anti-androgenic mode of action. The objectives of this study were to (1) improve knowledge of androgen and anti-androgen signaling in the teleostean ovary and to (2) assess the ability of gene networks and machine learning to classify LIN as an anti-androgen using transcriptomic data. Ovarian explants from vitellogenic fathead minnows (FHMs) were exposed to three concentrations of either 5α-dihydrotestosterone (DHT), flutamide (FLUT), or LIN for 12h. Ovaries exposed to DHT showed a significant increase in 17β-estradiol (E2) production while FLUT and LIN had no effect on E2. To improve understanding of androgen receptor signaling in the ovary, a reciprocal gene expression network was constructed for DHT and FLUT using pathway analysis and these data suggested that steroid metabolism, translation, and DNA replication are processes regulated through AR signaling in the ovary. Sub-network enrichment analysis revealed that FLUT and LIN shared more regulated gene networks in common compared to DHT. Using transcriptomic datasets from different fish species, machine learning algorithms classified LIN successfully with other anti-androgens. This study advances knowledge regarding molecular signaling cascades in the ovary that are responsive to androgens and anti-androgens and provides proof of concept that gene network analysis and machine learning can classify priority chemicals using experimental transcriptomic data collected from different fish species. © 2013.
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Considering FACTS in Optimal Transmission Expansion Planning
Directory of Open Access Journals (Sweden)
K. Soleimani
2017-10-01
Full Text Available The expansion of power transmission systems is an important part of the expansion of power systems that requires enormous investment costs. Since the construction of new transmission lines is very expensive, it is necessary to choose the most efficient expansion plan that ensures system security with a minimal number of new lines. In this paper, the role of Flexible AC Transmission System (FACTS devices in the effective operation and expansion planning of transmission systems is examined. Effort was taken to implement a method based on sensitivity analysis to select the optimal number and location of FACTS devices, lines and other elements of the transmission system. Using this method, the transmission expansion plan for a 9 and a 39 bus power system was performed with and without the presence of FACTS with the use of DPL environment in Digsilent software 15.1. Results show that the use of these devices reduces the need for new transmission lines and minimizes the investment cost.
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Chemical Modification of Uniform Soils and Soils with High/Low Plasticity Index
Li, Xuanchi; Tao, Fei; Bobet, Antonio
2015-01-01
Lime and/or cement are used to treat weak subgrade soils during construction of highways. These chemicals are mixed with the soil to improve its workability, compactability and engineering properties. INDOT (Indiana Department of Transportation) has been using chemical modification of native soils for the past 20 years. In fact, 90% of current subgrade is treated, typically with quick lime, lime byproducts or cement. For pavement design, it is customary to not include any improvement of the s...
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Mapping students' ideas about chemical reactions at different educational levels
Yan, Fan
Understanding chemical reactions is crucial in learning chemistry at all educational levels. Nevertheless, research in science education has revealed that many students struggle to understand chemical processes. Improving teaching and learning about chemical reactions demands that we develop a clearer understanding of student reasoning in this area and of how this reasoning evolves with training in the discipline. Thus, we have carried out a qualitative study using semi-structured interviews as the main data collection tool to explore students reasoning about reaction mechanism and causality. The participants of this study included students at different levels of training in chemistry: general chemistry students (n=22), organic chemistry students (n=16), first year graduate students (n=13) and Ph.D. candidates (n=14). We identified major conceptual modes along critical dimensions of analysis, and illustrated common ways of reasoning using typical cases. Main findings indicate that although significant progress is observed in student reasoning in some areas, major conceptual difficulties seem to persist even at the more advanced educational levels. In addition, our findings suggest that students struggle to integrate important concepts when thinking about mechanism and causality in chemical reactions. The results of our study are relevant to chemistry educators interested in learning progressions, assessment, and conceptual development.
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Learned Helplessness and Learning Goals: Role played in School Refusal. A Study on Italian Students.
Directory of Open Access Journals (Sweden)
Luana Sorrenti
2016-08-01
Full Text Available Literature on school refusal has shown a link between school refusal and poor school performance. However, there has been little investigation into the individual underlying factors, and specifically factors directly related to the learning process, such as the learning goals of students and their expectations of success and/or failure. The main purpose of the present study is to investigate the influence of Learned Helplessness (LH and learning goals on school refusal. We hypothesized that LH and learning goals exert a unique role in predicting school refusal above and beyond the roles of academic achievement, age, and gender. The sample consisted of 201 Italian students with an average age of 11.93, with both low (57.2 % of students and high (42.8 % academic achievement. School refusal, LH, and learning goals were measured by means of questionnaires. The results confirm the hypothesis of this study; in fact, we found that learning goals and, above all, LH play a more predictive role of school refusal than academic achievement. These results extend previous studies on school refusal and, for the first time, they provide additional knowledge about this problem, analyzing the relationship between school refusal, learning goals, and LH, still neglected in the literature. Implications on the psychological well-being of students are discussed.
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Butler, Andrew C; Dennis, Nancy A; Marsh, Elizabeth J
2012-07-01
People can acquire both true and false knowledge about the world from fictional stories. The present study explored whether the benefits and costs of learning about the world from fictional stories extend beyond memory for directly stated pieces of information. Of interest was whether readers would use correct and incorrect story references to make deductive inferences about related information in the story, and then integrate those inferences into their knowledge bases. Participants read stories containing correct, neutral, and misleading references to facts about the world; each reference could be combined with another reference that occurred in a later sentence to make a deductive inference. Later they answered general knowledge questions that tested for these deductive inferences. The results showed that participants generated and retained the deductive inferences regardless of whether the inferences were consistent or inconsistent with world knowledge, and irrespective of whether the references were placed consecutively in the text or separated by many sentences. Readers learn more than what is directly stated in stories; they use references to the real world to make both correct and incorrect inferences that are integrated into their knowledge bases.
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International Nuclear Fuel Cycle Fact Book
International Nuclear Information System (INIS)
Leigh, I.W.
1992-05-01
As the US Department of Energy (DOE) and DOE contractors have become increasingly involved with other nations in nuclear fuel cycle and waste management cooperative activities, a need exists costs for a ready source of information concerning foreign fuel cycle programs, facilities, and personnel. This Fact Book has been compiled to meet that need. The information contained in the International Nuclear Fuel Cycle Fact Book has been obtained from many unclassified sources: nuclear trade journals and newsletters; reports of foreign visits and visitors; CEC, IAEA, and OECD/NMEA activities reports; and proceedings of conferences and workshops. The data listed typically do not reflect any single source but frequently represent a consolidation/combination of information
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International Nuclear Fuel Cycle Fact Book
International Nuclear Information System (INIS)
Leigh, I.W.; Mitchell, S.J.
1990-01-01
As the US Department of Energy (DOE) and DOE contractors have become increasingly involved with other nations in nuclear fuel cycle and waste management cooperative activities, a need has developed for a ready source of information concerning foreign fuel cycle programs, facilities, and personnel. This Fact Book was compiled to meet that need. The information contained in the International Nuclear Fuel Cycle Fact Book has been obtained from many unclassified sources: nuclear trade journals and newsletters; reports of foreign visits and visitors; CEC, IAEA, and OECD/NEA activities reports; proceedings of conferences and workshops, etc. The data listed do not reflect any one single source but frequently represent a consolidation/combination of information
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International Nuclear Fuel Cycle Fact Book
Energy Technology Data Exchange (ETDEWEB)
Leigh, I W; Mitchell, S J
1990-01-01
As the US Department of Energy (DOE) and DOE contractors have become increasingly involved with other nations in nuclear fuel cycle and waste management cooperative activities, a need has developed for a ready source of information concerning foreign fuel cycle programs, facilities, and personnel. This Fact Book was compiled to meet that need. The information contained in the International Nuclear Fuel Cycle Fact Book has been obtained from many unclassified sources: nuclear trade journals and newsletters; reports of foreign visits and visitors; CEC, IAEA, and OECD/NEA activities reports; proceedings of conferences and workshops, etc. The data listed do not reflect any one single source but frequently represent a consolidation/combination of information.
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An Elegant Mind: Learning and Memory in "Caenorhabditis elegans"
Ardiel, Evan L.; Rankin, Catharine H.
2010-01-01
This article reviews the literature on learning and memory in the soil-dwelling nematode "Caenorhabditis elegans." Paradigms include nonassociative learning, associative learning, and imprinting, as worms have been shown to habituate to mechanical and chemical stimuli, as well as learn the smells, tastes, temperatures, and oxygen levels that…
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Norms and facts in measurement
Brakel, J. van
1984-01-01
Publications concerned with the foundations of measurement often accept uncritically the theory/observation and the norm/fact distinction. However, measurement is measurement-in-a-context. This is analysed in the first part of the paper. Important aspects of this context are: the purpose of the
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The Effects of Variations in Lesson Control and Practice on Learning from Interactive Video.
Hannafin, Michael J.; Colamaio, MaryAnne E.
1987-01-01
Discussion of the effects of variations in lesson control and practice on the learning of facts, procedures, and problem-solving skills during interactive video instruction focuses on a study of graduates and advanced level undergraduates learning cardiopulmonary resuscitation (CPR). Embedded questioning methods and posttests used are described.…
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Inquiry and 21st-Century Learning
Pappas, Marjorie L.
2009-01-01
Over the last eight years, the primary focus in schools has been on passing standardized tests based on a core curriculum. The emphasis on learning content is in direct contrast to the world outside the school walls where the technological capability to provide access to content, i.e., information at lightning speed, already exists. In fact,…
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Establishing exposure limits for chemical pollutants
International Nuclear Information System (INIS)
Drosselmeyer, E.
1979-05-01
In addition to toxic effects, chemical pollutants may produce cancer and genetic damage as radiation does. Some of these effects have been known since a very long time. Inspite of this fact, the knowledge of the basic processes in damage formation, of dose-effect relationships, and of possible threshold values seem to be at least comparable in the field of radiation protection. The attempt is made to give an introduction into the problems by a literature survey of the effects on man of heavy metals, especially of lead. Subsequently the exposure limits for different groups of the population and the legal national and international standards are considered. Efforts to quantify the relationship existing between different pollutants by the definition of a 'radiation equivalent' dose for chemicals deserve particular interest. (orig.) [de
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Interstate Research Associates, McLean, VA.
This fact sheet on autism is offered in both English and Spanish, and is the same in both languages although numbered differently. It provides a definition, information on incidence, typical characteristics, and educational implications. It notes that autism is listed as a separate category under the Individuals with Disabilities Education Act.…
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International nuclear fuel cycle fact book: Revision 9
Energy Technology Data Exchange (ETDEWEB)
Leigh, I.W.
1989-01-01
The International Nuclear Fuel Cycle Fact Book has been compiled in an effort to provide current data concerning fuel cycle and waste management facilities, R and D programs and key personnel. The Fact Book contains: national summaries in which a section for each country which summarizes nuclear policy, describes organizational relationships and provides addresses, names of key personnel, and facilities information; and international agencies in which a section for each of the international agencies which has significant fuel cycle involvement, and a listing of nuclear societies. The national summaries, in addition to the data described above, feature a small map for each country as well as some general information. The latter is presented from the perspective of the Fact Book user in the United States.
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Teaching Chemical Equilibrium with the Jigsaw Technique
Doymus, Kemal
2008-03-01
This study investigates the effect of cooperative learning (jigsaw) versus individual learning methods on students’ understanding of chemical equilibrium in a first-year general chemistry course. This study was carried out in two different classes in the department of primary science education during the 2005-2006 academic year. One of the classes was randomly assigned as the non-jigsaw group (control) and other as the jigsaw group (cooperative). Students participating in the jigsaw group were divided into four “home groups” since the topic chemical equilibrium is divided into four subtopics (Modules A, B, C and D). Each of these home groups contained four students. The groups were as follows: (1) Home Group A (HGA), representin g the equilibrium state and quantitative aspects of equilibrium (Module A), (2) Home Group B (HGB), representing the equilibrium constant and relationships involving equilibrium constants (Module B), (3) Home Group C (HGC), representing Altering Equilibrium Conditions: Le Chatelier’s principle (Module C), and (4) Home Group D (HGD), representing calculations with equilibrium constants (Module D). The home groups then broke apart, like pieces of a jigsaw puzzle, and the students moved into jigsaw groups consisting of members from the other home groups who were assigned the same portion of the material. The jigsaw groups were then in charge of teaching their specific subtopic to the rest of the students in their learning group. The main data collection tool was a Chemical Equilibrium Achievement Test (CEAT), which was applied to both the jigsaw and non-jigsaw groups The results indicated that the jigsaw group was more successful than the non-jigsaw group (individual learning method).
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Weltman, David; Whiteside, Mary
2010-01-01
This research shows that active learning is not universally effective and, in fact, may inhibit learning for certain types of students. The results of this study show that as increased levels of active learning are utilized, student test scores decrease for those with a high grade point average. In contrast, test scores increase as active learning…
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Explaining Differences in Learning Outcomes in Auditing Education
DEFF Research Database (Denmark)
Holm, Claus; Steenholdt, Niels
as well as the accounting profession. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes is a complex matter requiring sensible measures for both declarative knowledge (ability to verbalize pertinent facts...... or processes) and procedural knowledge (intellectual skills). The performance of 75 graduate accounting students representing both types of schema is examined. The findings suggest that differences in learning outcomes may be attributed to differences in student background and prior knowledge (auditing...
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Moffatt, Heather; Moorhouse, Paige; Mallery, Laurie; Landry, David; Tennankore, Karthik
2018-01-01
Recent evidence supports the prognostic significance of frailty for functional decline and poor health outcomes in patients with chronic kidney disease. Yet, despite the development of clinical tools to screen for frailty, little is known about the experiential impact of screening for frailty in this setting. The Frailty Assessment for Care Planning Tool (FACT) evaluates frailty across 4 domains: mobility, function, social circumstances, and cognition. The purpose of this qualitative study was as follows: 1) explore the nurse experience of screening for frailty using the FACT tool in a specialized outpatient renal clinic; 2) determine how, if at all, provider perceptions of frailty changed after implementation of the frailty screening tool; and 3) determine the perceived factors that influence uptake and administration of the FACT screening tool in a specialized clinical setting. A semi-structured interview of 5 nurses from the Nova Scotia Health Authority, Central Zone Renal Clinic was conducted. A grounded theory approach was used to generate thematic categories and analysis models. Four primary themes emerged in the data analysis: "we were skeptical", "we made it work", "we learned how", and "we understand". As the renal nurses gained a sense of confidence in their ability to implement the FACT tool, initial barriers to implementation were attenuated. Implementation factors - such as realistic goals, clear guidelines, and ongoing training - were important factors for successful uptake of the frailty screening initiative. Nurse participants reported an overall positive experience using the FACT method to screen for frailty and indicated that their understanding of the multiple dimensions and subtleties of "frailty" were enhanced. Future nurse-led FACT screening initiatives should incorporate those factors identified as being integral to program success: realistic goals, clear guidelines, and ongoing training. Adopting the evaluation of frailty as a priority
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Social constructivism and positive epistemology: On establishing of scientific facts
Directory of Open Access Journals (Sweden)
Brdar Milan
2009-01-01
Full Text Available In this article author is dealing with the problem of genesis and establishing of scientific fact. In the first part is given philosophical treatment of the problem and its futility, for the reason given in Minhausen trilema as a conclusion of this kind of treatment. Second part of the article contains the review of Ludvik Fleck's positive epistemology and of social constructivism. After the short historical review of the roots of social constructivism in the Mannheim's sociology of knowledge, author describes how it goes with erstablishing of scientific fact. Solution is set forth by elaboration of triad physis-nomos-logos within the constitutive elements of society known as authority-institution-reason-discourse. Author's concluding thesis claims that there is no fact without convention, i.e. that nature and scientific fact are connected by institution (scientific or social. It does not mean that there is no sound established facts but that obstacle toward it is provided just with institutional mediation that make condition of possibility of very truth. Therefore, the question: what among known facts are really truthful amounts to eternal problem of science and common sense in every epoch of history. .
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Mini-projects in Chemical Engineering Laboratory
Directory of Open Access Journals (Sweden)
Angeles Cancela
2013-03-01
Full Text Available Chemical engineering laboratory practices based in mini-projects were design and applied the students of forestry engineering in chemical subject. This way of practice reveals a more cooperative learning and a different style of experimentation. The stated goal was to design practices that motivate students and to enable them to develop different skills, including cross teamwork and communication. This paper describes how these practices were developed and the advantages and disadvantages of using this methodology of teaching.
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Alzheimer's Disease Facts and Figures
Full Text Available ... get Alzheimer's disease were diagnosed in the mild cognitive impairment (MCI) stage — before dementia — it would collectively save $7 trillion to $7.9 trillion in health and long-term care costs. worried about memory loss? KNOW THE 10 SIGNS Alzheimer's Disease Facts ...
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Facts about Infectious Diseases (ID)
... an ID Specialist? Facts about ID Pocketcard Infectious diseases are caused by microscopic organisms that penetrate the body’s natural ... from diseases such as AIDS or treatment of diseases such as cancer, may allow ... of contaminated food or water, bites from vectors such as ticks or mosquitoes ...
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Critical Points in Distance Learning System
Directory of Open Access Journals (Sweden)
Airina Savickaitė
2013-08-01
Full Text Available Purpose – This article presents the results of distance learning system analysis, i.e. the critical elements of the distance learning system. The critical points of distance learning are a part of distance education online environment interactivity/community process model. The most important is the fact that the critical point is associated with distance learning participants. Design/methodology/approach – Comparative review of articles and analysis of distance learning module. Findings – A modern man is a lifelong learner and distance learning is a way to be a modern person. The focus on a learner and feedback is the most important thing of learning distance system. Also, attention should be paid to the lecture-appropriate knowledge and ability to convey information. Distance system adaptation is the way to improve the learner’s learning outcomes. Research limitations/implications – Different learning disciplines and learning methods may have different critical points. Practical implications – The information of analysis could be important for both lecturers and students, who studies distance education systems. There are familiar critical points which may deteriorate the quality of learning. Originality/value – The study sought to develop remote systems for applications in order to improve the quality of knowledge. Keywords: distance learning, process model, critical points. Research type: review of literature and general overview.
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Progress in reforming chemical engineering education.
Wankat, Phillip C
2013-01-01
Three successful historical reforms of chemical engineering education were the triumph of chemical engineering over industrial chemistry, the engineering science revolution, and Engineering Criteria 2000. Current attempts to change teaching methods have relied heavily on dissemination of the results of engineering-education research that show superior student learning with active learning methods. Although slow dissemination of education research results is probably a contributing cause to the slowness of reform, two other causes are likely much more significant. First, teaching is the primary interest of only approximately one-half of engineering faculty. Second, the vast majority of engineering faculty have no training in teaching, but trained professors are on average better teachers. Significant progress in reform will occur if organizations with leverage-National Science Foundation, through CAREER grants, and the Engineering Accreditation Commission of ABET-use that leverage to require faculty to be trained in pedagogy.
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Femtosecond laser control of chemical reaction of carbon monoxide and hydrogen
CSIR Research Space (South Africa)
Du Plessis, A
2010-09-01
Full Text Available Femtosecond laser control of chemical reactions is made possible through the use of pulse-shaping techniques coupled to a learning algorithm feedback loop – teaching the laser pulse to control the chemical reaction. This can result in controllable...
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CERN Quick Facts 2017 (French version)
Mobs, Esma
2017-01-01
Facts about CERN, the contributions of its Member States, its machines and experiments, the number of its employees and users, management structure, etc. Previously called "CERN General Information Sheet"
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CERN Quick Facts 2016 (French version)
AUTHOR|(CDS)2070305
2016-01-01
Facts about CERN, the contributions of its Member States, its machines and experiments, the number of its employees and users, management structure, etc. Previously called "CERN General Information Sheet"
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CERN Quick Facts 2016 (English version)
AUTHOR|(CDS)2070305
2016-01-01
Facts about CERN, the contributions of its Member States, its machines and experiments, the number of its employees and users, management structure, etc. Previously called "CERN General Information Sheet"
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CERN Quick Facts 2017 (English version)
Mobs, Esma
2017-01-01
Facts about CERN, the contributions of its Member States, its machines and experiments, the number of its employees and users, management structure, etc. Previously called "CERN General Information Sheet"
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How to Implement an E-Learning Curriculum to Streamline Teaching Digital Image Processing
Király, Sándor
2016-01-01
In the field of teaching, one of the interesting subjects is the research of the fact which didactic methods are good for learning the current curriculum for the students who show a wide range of age, interest, chosen courses, previous studies and motivation. This article introduces the facilities that support the learning process: the…
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75 FR 24740 - Recovery Fact Sheet RP9580.102, Permanent Relocation
2010-05-05
... DEPARTMENT OF HOMELAND SECURITY Federal Emergency Management Agency [Docket ID FEMA-2010-0028] Recovery Fact Sheet RP9580.102, Permanent Relocation AGENCY: Federal Emergency Management Agency, DHS... Management Agency (FEMA). DATES: This fact sheet is effective April 14, 2010. ADDRESSES: This final fact...
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Social Networking Sites as a Learning Tool
Sanchez-Casado, Noelia; Cegarra Navarro, Juan Gabriel; Wensley, Anthony; Tomaseti-Solano, Eva
2016-01-01
Purpose: Over the past few years, social networking sites (SNSs) have become very useful for firms, allowing companies to manage the customer-brand relationships. In this context, SNSs can be considered as a learning tool because of the brand knowledge that customers develop from these relationships. Because of the fact that knowledge in…
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Guemide, Boutkhil; Benachaiba, Chellali
2012-01-01
The real potential of ICT is the way it changes learners to become autonomous in their learning process. E-learning also plays a crucial role in today's life and in modern education. Its importance lies in the fact that people are finding that e-learning can make a remarkable change in teaching/ or learning: to how quickly they master a skill; how…
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Opportunity to learn English and mathematics in Ghanaian primary ...
African Journals Online (AJOL)
Opportunity to learn English and mathematics in Ghanaian primary schools: implications for teacher education programmes. ... teachers' instructional practices and management of instructional time, and • teachers' preparedness to implement the content standards. These inefficiencies could be attributed to the fact that the ...
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Real cause of detrimental carbonation in chemically stabilized layers and possible solutions
CSIR Research Space (South Africa)
Botha, PB
2005-10-01
Full Text Available to determine the other reaction that may take place in the material. KEYWORDS CARBONATION/ CHEMICAL REACTIONS/ WATER CURING/ NEW TESTING PROTOCOL 1 INTRODUCTION This paper deals with the problems related to the “curing” of the stabilized layers... than CO2 driven. In actually fact the so-called “detrimental carbonation” chemical reaction cannot even take place without free water being available. The water is normally supplied by the specified curing 2 technique to keep the layer moist...
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Chemical Weapons Improved Response Program. 2000 Summary Report
National Research Council Canada - National Science Library
2000-01-01
The purpose of this summary report is to inform members of the first responder and emergency management communities about the on-going activities, initiatives, and lessons learned from the Chemical...
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Hanyak, Michael E., Jr.
2015-01-01
In an introductory chemical engineering course, the conceptual framework of a holistic problem-solving methodology in conjunction with a problem-based learning approach has been shown to create a learning environment that nurtures deep learning rather than surface learning. Based on exam scores, student grades are either the same or better than…
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Staddon, J E R
2013-01-01
David Hume argued that ought cannot be derived from is . That is, no set of facts, no amount of scientific knowledge, is by itself sufficient to urge us to action. Yet generations of well-meaning scientists (more and more as secular influences grow in the West) seem to have forgotten Hume's words of wisdom. All motivated action depends ultimately on beliefs that cannot be proved by the methods of science, that is, on faith.
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Biomolecular Science (Fact Sheet)
Energy Technology Data Exchange (ETDEWEB)
2012-04-01
A brief fact sheet about NREL Photobiology and Biomolecular Science. The research goal of NREL's Biomolecular Science is to enable cost-competitive advanced lignocellulosic biofuels production by understanding the science critical for overcoming biomass recalcitrance and developing new product and product intermediate pathways. NREL's Photobiology focuses on understanding the capture of solar energy in photosynthetic systems and its use in converting carbon dioxide and water directly into hydrogen and advanced biofuels.
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Bayesian molecular design with a chemical language model
Ikebata, Hisaki; Hongo, Kenta; Isomura, Tetsu; Maezono, Ryo; Yoshida, Ryo
2017-04-01
The aim of computational molecular design is the identification of promising hypothetical molecules with a predefined set of desired properties. We address the issue of accelerating the material discovery with state-of-the-art machine learning techniques. The method involves two different types of prediction; the forward and backward predictions. The objective of the forward prediction is to create a set of machine learning models on various properties of a given molecule. Inverting the trained forward models through Bayes' law, we derive a posterior distribution for the backward prediction, which is conditioned by a desired property requirement. Exploring high-probability regions of the posterior with a sequential Monte Carlo technique, molecules that exhibit the desired properties can computationally be created. One major difficulty in the computational creation of molecules is the exclusion of the occurrence of chemically unfavorable structures. To circumvent this issue, we derive a chemical language model that acquires commonly occurring patterns of chemical fragments through natural language processing of ASCII strings of existing compounds, which follow the SMILES chemical language notation. In the backward prediction, the trained language model is used to refine chemical strings such that the properties of the resulting structures fall within the desired property region while chemically unfavorable structures are successfully removed. The present method is demonstrated through the design of small organic molecules with the property requirements on HOMO-LUMO gap and internal energy. The R package iqspr is available at the CRAN repository.
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Sub-nanometrically resolved chemical mappings of quantum-cascade laser active regions
International Nuclear Information System (INIS)
Pantzas, Konstantinos; Beaudoin, Grégoire; Patriarche, Gilles; Largeau, Ludovic; Mauguin, Olivia; Sagnes, Isabelle; Pegolotti, Giulia; Vasanelli, Angela; Calvar, Ariane; Amanti, Maria; Sirtori, Carlo
2016-01-01
A procedure that produces sub-nanometrically resolved chemical mappings of MOCVD-grown InGaAs/InAlAs/InP quantum cascade lasers is presented. The chemical mappings reveal that, although the structure is lattice-matched to InP, the InAlAs barriers do not attain the nominal aluminum content—48%—and are, in fact, InGaAlAs quaternaries. This information is used to adjust the aluminum precursor flow and fine-tune the composition of the barriers, resulting in a significant improvement of the fabricated lasers. (paper)
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Systematic tools for chemical equation balancing
International Nuclear Information System (INIS)
Filby, E.E.; Idaho National Engineering Lab., Idaho Falls, ID; Idaho Univ., Idaho Falls, ID
1989-01-01
One of the most important skills that chemists and chemical engineers must develop is the ability to balance chemical equations. The normal first method taught is ''balancing by inspection'', which is sometimes explained as simply ''mental algebra.'' Every textbook surveyed for this paper presents equation balancing first as a matter of trial and error; this includes four very recently published books. Very little further guidance is provided until oxidation-reduction reactions must be balanced. The most commonly taught approaches for balancing, redox equations have been the oxidation state change and ion-electron methods. Unfortunately, redox reactions are usually treated as a new topic, and what the student has teamed about ''ordinary'' equations is of little or no help. All too often, these contradictions simply confuse and frustrate students, and equation balancing is relegated to the status of a black art. This is ironic because such,confusion and frustration is not necessary: Chemical equations can, in fact, be balanced by explicitly definable mathematical methods. The purpose of this paper is to outline the algebraic methods involved
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Learning Styles of Pilots Currently Qualified in United States Air Force Aircraft
Kanske, Craig A.
2001-01-01
Kolb's Learning Style Inventory was used to identify the predominant learning styles of pilots currently qualified in United States Air Force aircraft. The results indicate that these pilots show a significant preference for facts and things over people and feelings. By understanding the preferred learning styles of the target population, course material can be developed that take advantage of the strengths of these learning styles. This information can be especially useful in the future design of cockpit resource management training. The training program can be developed to demonstrate both that there are different learning styles and that it is possible to take advantage of the relative strengths of each of these learning styles.
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Chemical characterisation of experimental PFBR-MOX fuel - an overview
International Nuclear Information System (INIS)
Mallik, G.K.; Arun Kumar; Panakkal, J.P.; Kamath, H.S.
2003-01-01
Fuel pins for experimental PFBR-type fuel containing ( Nat U 0.335 233 U 0.37 Pu 0.295 )O 2 are being manufactured at AFFF and will be irradiated in FBTR. A number of chemical characterization experiments have been carried out on simulated and actual fuel pellets to meet the design specifications of the fuel. An overview is being presented to highlight the related facts. (author)
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Energy Technology Data Exchange (ETDEWEB)
Coronado Gallegos, Ixtlahuatl
2001-09-15
In this work techniques for the location of FACTS devices (Flexible Systems of AC Transmission) in a multi-machine power system in order to improve the electromechanical transient behavior is presented. In the first part, a brief introduction is presented about the FACTS devices, in which are mentioned some of the main characteristics, classification and advantages that their utilization represents. In the next part, the formulation of the matrix of state in the context of machine-infinite bar considering the possibility of including a power system stabilizer is developed. Later the formulation is extended to a multi-machine system. Additionally the form of including a series capacitor controlled by thyristors (TCSC) as well as a unified controller of power flows (UPFC) is analyzed. An analysis of the UPFC is carried out in conditions of stationary and dynamic state in a system machine-infinite bar in order to know its operating characteristics and its capacity for dampening power oscillations through its entrances of control when using local signals. In the last part of the work a methodology is proposed to attack the problem of the location of FACTS devices, which is based in the technique of response to the system frequency. In order to validate this proposal some cases of study are used and the results obtained with the ones provided by other techniques are compared. Also some auxiliary means are proposed for obtaining the feasible locations utilizing other mathematical tools such as the singular values and the sensitivities. Finally, simulations in the time are carried out to corroborate the results obtained. [Spanish] En este trabajo se presentan tecnicas para la localizacion de dispositivos FACTS (Sistemas Flexibles de Transmision de C.A) en un sistema de potencia multimaquinas a fin de mejorar el comportamiento transitorio electromecanico. En la primera parte se presenta una breve introduccion acerca de los dispositivos FACTS, en la cual se mencionan
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Nanotechnology for Site Remediation: Fact Sheet
This fact sheet presents a snapshot of nanotechnology and its current uses in remediation. It presents information to help site project managers understand the potential applications of this group of technologies at their sites.
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... Special Issues Subscribe June 2015 Print this issue HIV and AIDS: Know the Facts Treatments Work, but ... Biological Blueprints Wise Choices Should You Get an HIV Test? HIV tests involve a simple cheek swab, ...
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HIV/AIDS Clinical Trials Fact Sheet
... AIDS Drugs Clinical Trials Apps skip to content HIV Overview Home Understanding HIV/AIDS Fact Sheets HIV/ ... 4 p.m. ET) Send us an email HIV/AIDS Clinical Trials Last Reviewed: August 25, 2017 ...
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Zhao, Feng-qing; Yu, Yi-feng; Ren, Shao-feng; Liu, Shao-jie; Rong, Xin-yu
2014-01-01
Practical education in chemical engineering has drawn increasing attention in recent years. This paper discusses two approaches to teaching and learning about experiments among upper-level chemical and pharmaceutical engineering majors in China. On the basis of years of experience in teaching chemical and pharmaceutical engineering, we propose the…
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Interstate Research Associates, McLean, VA.
This fact sheet on epilepsy is offered in both English and Spanish. It provides a definition, information on incidence, typical characteristics, and educational implications. It notes that epilepsy is classified as "other health impaired" under the Individuals with Disabilities Education Act and that students with epilepsy are eligible for special…
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Depth of Information Processing and Memory for Medical Facts.
Slade, Peter D.; Onion, Carl W. R.
1995-01-01
The current emphasis in medical education is on engaging learners in deep processing of information to achieve better understanding of the subject matter. Traditional approaches aimed for memorization of medical facts; however, a good memory for medical facts is still essential in clinical practice. This study demonstrates that deep information…