Relevant bibliographies by topics / Learning aid

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Learning aid'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Learning aid"

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Bower, Bruce. "Montessori Learning Aid." Science News 170, no. 14 (September 30, 2006): 212. http://dx.doi.org/10.2307/4017446.

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Weir, Michael R. "A Tympanocentesis Learning Aid." Archives of Pediatrics & Adolescent Medicine 139, no. 6 (June 1, 1985): 553. http://dx.doi.org/10.1001/archpedi.1985.02140080023024.

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PARTRIDGE, G. A. W. "Colour as a learning aid." Journal of the British Institute of Mental Handicap (APEX) 11, no. 1 (August 26, 2009): 41. http://dx.doi.org/10.1111/j.1468-3156.1983.tb00103.x.

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Wilcox, Joy, Edward Sbardellati, and Ann Nevin. "Cooperative Learning Groups Aid Integration." TEACHING Exceptional Children 20, no. 1 (September 1987): 61–63. http://dx.doi.org/10.1177/004005998702000118.

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Natarajan, T. S., V. S. Murthy, S. Srinivasan, and S. Radhakrishna. "A learning aid in electronics." Physics Teacher 23, no. 1 (January 1985): 51–53. http://dx.doi.org/10.1119/1.2341713.

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FY, Alhamdani. "Drawings as learning aid for the human anatomy students’ based evaluation." Journal of Oral Health and Craniofacial Science 2, no. 4 (2017): 090–95. http://dx.doi.org/10.29328/journal.johcs.1001017.

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Scriven, Richard. "The Learning Circle as an Aid to Distance Learning." PLET: Programmed Learning & Educational Technology 22, no. 4 (November 1985): 343–46. http://dx.doi.org/10.1080/1355800850220408.

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G., Kalpana. "Rainfall Prediction to Aid Agriculture by Analysing Rainfall Data Using Ensemble Learning." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 279–83. http://dx.doi.org/10.5373/jardcs/v12sp4/20201490.

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Wang, DeLiang. "Deep learning reinvents the hearing aid." IEEE Spectrum 54, no. 3 (March 2017): 32–37. http://dx.doi.org/10.1109/mspec.2017.7864754.

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Wright, David R. "Mnemonics: An aid to geographical learning." Journal of Geography 94, no. 1 (January 1995): 339–40. http://dx.doi.org/10.1080/00221349508979738.

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Dissertations / Theses on the topic "Learning aid"

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Pate, Shari Ann. "Web tools: An aid for cognitive learning." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2777.

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The purpose of this project is to provide students and teachers with a disk of tools to aide in the development of Web pages either in the classroom or through online (distance education) learning. Many of the tools supplied on this disk have been field tested in a high school Web design class. When students are allowed to be creative and are able to fuse interesting visual displays the results can be significant in increasing cognitive and multiple intelligences skills.
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BROUSE, KIRSTEN. "Adaptive Aid in Haiti? How Aid Organizations Learn and Adapt in Fragile States." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34420.

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If we understand development as an emergent property of a complex system, then effective development assistance needs to adapt and evolve in-context. This thesis explores how learning and adaptation practices might help aid organizations apply complexity thinking to improve their effectiveness. Based on a new framework of organizational practices, this study uses a mixed methods approach to assess the extent to which 12 small and medium international aid organizations in Haiti learn and adapt. The study supports the assumption that learning and adaptation contribute to effectiveness, and finds that organizations vary significantly in their learning and adaptation practices. It finds that development organizations employ more learning practices than humanitarian assistance organizations, and that organizations are generally better at collecting information and adopting learning attitudes, than they are at establishing the structures and processes they need to be truly adaptive. The research also finds that the barriers that make learning and adaptation more difficult for organizations are largely structural and related to aid system dynamics, while organizations benefit from enablers that are largely attributed to individual agency. This thesis argues for the important role that aid organizations can, and must play in making aid more effective – at the project, organization, and aid system levels. However, the aid system itself does not encourage learning. International aid organizations will therefore need to actively engage in learning if they are to play an effective role in development, and be a meaningful part of the system-level aid effectiveness dialogue.
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Takahashi, Chie. "Aid partnerships and learning : UK and Japanese projects in Ghana." Thesis, University of Warwick, 2002. http://wrap.warwick.ac.uk/3032/.

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International technical assistance today supports pro-poor intervention managed and implemented by a number of organisations working in partnership together located in several countries. They may include funding organisations, governments, non-governmental organisations and community groups. This thesis explores the meaning of aid sector partnership and some of the ways in which they work to support community development in Africa. The study is of the ways in which partners interact and learn from each other, the contextual issues that influence the process and the implication of this for what is achieved. Believed to be the first of its kind, the study compares two bilaterally funded projects implemented by Ghanaian NGO counterparts. The British Department for International Development (DFID) financed an adult literacy project in the North, while Japan International Co-operation Agency (JICA) supported a maternal and child health care project in the East of Ghana. The study examines the quality of relations between partners in the two projects and then the ways in which these are informed by incidental learning experiences. A fieldwork was conducted in Ghana, UK and Japan. Data are largely narrative derived from in-depth interviews with more than 100 informants. Critical incident analysis is employed as the main interpretative strategy. The thesis conceptualises instances of inter-organisational learning (TOL) in terms of theories of principals and agents, prisoners' dilemmas and women's place in community development. It shows (i) that IOL can be used to maintain and modify relations of control and dominance in partnership hierarchies, and (ii) that IOL serves as a by-product of horizontal relationships and be increased or reduced in the competition between partners for resources and identity. The influential role of individuals, beyond the boundaries of organisations is stressed through social networks and trust-based relations, as are instances of resistance to learning as a consequences of personal conflict. However, structural constraints in the aid system, as demonstrated by asymmetric access to resources, expertise, knowledge, status and networks, ultimately determine the quality of funding management schemes and an environment that stimulates mutual individual learning, which is advantageous circumstances may lead to organisational learning and inter-organisational learning.
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Kimura, Tadashi. "Organisational learning in aid administration : rethinking its potential and limitations." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427063.

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Nagel, Karin Lynne. "Training visual pattern recognition : using worked examples to aid schema acquisition." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/28851.

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Maragno, Donato. "Optimization with machine learning-based modeling: an application to humanitarian food aid." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21621/.

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In this thesis, we propose a machine learning-based optimization methodology to build (part of) optimization models with a data-driven approach. This approach is useful whenever we have to model one or more relations between the decisions and their impact on the system. This kind of relationship can be challenging to model manually, and so machine learning is used to learn it through the use of data. We demonstrate the potential of this method through a case study in which a predictive model is used to approximate the palatability scoring function in a typical diet problem formulation. First, the performance of this approach is analyzed by embedding a Linear Regression model and then by embedding a Fully Connected Neural Network.
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Eftekhar, Nassereddin. "Dynamic modeling of a teaching/learning system to aid system re-engineering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0026/NQ31974.pdf.

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Palazzolo, Jerome J. "Robotic technology to aid and assess recovery and learning in stroke patients." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33918.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.
Includes bibliographical references (p. 335-343).
Each year, about 700,000 people in the United States have a stroke, making it a leading cause of serious, long-term disability. Modalities of therapy often assume the processes underlying motor recovery and motor learning are similar because both exhibit activity- dependent neural plasticity. However, the impact of other factors unique to recovery such as re-acquisition of muscle strength and resolution of abnormal muscle tone confounds the validity of this assumption. By implementing an adaptive impedance controller that collapses from a "virtual slot" between two targets to a "virtual spring" at the desired target, a new performance-based progressive therapy (PBPT) algorithm was developed to test whether recovery would be enhanced by incorporating learning strategies like repetition, goal specification, and positive reinforcement. A study of chronic stroke patients (8 to 95 months post-stroke) who were in a clinically verified "stable" phase of recovery was conducted with the PBPT protocol, in which patients made over 12,000 visually guided, point-to-point movements.
(cont.) Though prior clinical results suggested that recovery would plateau 6 months post-stroke, two studies using sensorimotor (SM) and progressive resistance (PR) therapy protocols achieved significant, though modest, reductions in impairment. The new PBPT protocol produced significantly larger impairment reductions with over 6,000 fewer movements than SM and PR. By design, the adapting PBPT parameters, namely, the time allotted to move between targets and the virtual slot sidewall stiffness, serve as indicators of patients' abilities to move and aim (as parameters decrease (increase), patients move faster (slower) and require less (more) aiming assistance). By analyzing the parameters' evolution throughout the PBPT protocol, it was shown that motor recovery follows an exponential progression similar to a motor learning "law of practice". In addition, a serendipitous benefit of the PBPT protocol occurred - a sustained reduction in abnormal muscle tone, a factor unrelated to learning. A spectral impedance estimation method suitable for a clinical setting was developed and validated by identifying known mechanical systems. In addition, preliminary data was collected on unimpaired subjects and stroke patients.
by Jerome J. Palazzolo.
Ph.D.
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Hasan, Syed Shabih. "Mobile ecological momentary assessment for hearing aid evaluation." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5494.

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Hearing loss can significantly hinder an individual's ability to engage socially and, when left untreated, can lead to anxiety, depression, and even dementia. The most common type of hearing loss is sensor-neural hearing loss that is treated using hearing aids (HAs). However, a significant fraction of individuals that may benefit from using HA do not use them and, the satisfaction of those that do, is only around 60%. Today, we have only a limited understanding regarding the factors that contribute to the low adoption and satisfaction rates. This is a limitation of existing laboratory-based assessment methods that cannot accurately predict the performance of HAs in the real-world as they do not fully reproduce the complexities of real-world environments. There four core contributions of my PhD thesis: i) the development new computer-based methods for assessing HAs in the real-world. Our approach is based on the insight that HA performance is intrinsically dependent on the context in which a HA is used. A context includes characteristics of the listening activity, social context, and acoustic environment. To evaluate this hypothesis, we have developed AudioSense, a system that uses mobile phones to jointly characterize the context of users and the performance of HAs. ii) We provide the first instance of characterization of the auditory lifestyle of hearing aid users, and the relationships that exist between the context and hearing aid outcomes. iii) We utilize the subjective data collected using AudioSense to build novel models that can predict the success of hearing aid prescriptions for new and experienced users. We also quantitatively prove the importance of collecting contextual information for evaluating hearing aids. iv) We use the objective audio data collected with AudioSense to predict contextual information like acoustic activity and noise level. This provides us a way to intelligently infer contextual information automatically and reduce the burden on the study participants.
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Blomquist, Hanna, and Johanna Möller. "Anomaly detection with Machine learning : Quality assurance of statistical data in the Aid community." Thesis, Uppsala universitet, Datalogi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260380.

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The overall purpose of this study was to find a way to identify incorrect data in Sida’s statistics about their contributions. A contribution is the financial support given by Sida to a project. The goal was to build an algorithm that determines if a contribution has a risk to be inaccurate coded, based on supervised classification methods within the area of Machine Learning. A thorough data analysis process was done in order to train a model to find hidden patterns in the data. Descriptive features containing important information about the contributions were successfully selected and used for this task. These included keywords that were retrieved from descriptions of the contributions. Two Machine learning methods, Adaboost and Support Vector Machines, were tested for ten classification models. Each model got evaluated depending on their accuracy of predicting the target variable into its correct class. A misclassified component was more likely to be incorrectly coded and was also seen as an anomaly. The Adaboost method performed better and more steadily on the majority of the models. Six classification models built with the Adaboost method were combined to one final ensemble classifier. This classifier was verified with new unseen data and an anomaly score was calculated for each component. The higher the score, the higher the risk of being anomalous. The result was a ranked list, where the most anomalous components were prioritized for further investigation of staff at Sida.
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Books on the topic "Learning aid"

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Hartley, Alick. Aid to learning computerised accounts. Newtown, Powys: Impart Books, 2004.

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Little, Angela. Education, learning, aid and development. Tokyo: Sophia Univ., Institute of Comparative Culture, Advanced Development Management Program, 1995.

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Khan, Amjad Ali. Quran-e-hakeem learning aid. Detroit: Islamic Science Research Institute, 1992.

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1954-, Andrus Deborah L., ed. Learning aid, Marketing, Canadian edition. Scarborough, Ont: Prentice-Hall Canada, 1995.

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J, Shapiro Stanley, and McCarthy, E. Jerome (Edmund Jerome), eds. Learning aid to accompany Basic marketing. 5th ed. Homewood, Ill: R.D. Irwin, 1989.

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McCarthy, E. Jerome (Edmund Jerome) and Cannon Joseph P, eds. Learning aid for Essentials of marketing. New York, NY: McGraw-Hill, 2010.

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Vajpeyi, Kabir. Building as learning aid: Developing school space as learning resource. New Delhi: Vinyās, Centre for Architectural Research & Design, 2005.

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D, Perreault William, ed. Learning aid for use with Basic Marketing. Homewood, Ill: Irwin, 1990.

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Stern, Jerrold J. TaxCompII: A computerized learning aid for tax instruction. Houston, TX: Dame Publications, 1986.

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Stern, Jerrold J. TaxCompI: A computerized learning aid for tax instruction. Houston, TX: Dame Publications, 1986.

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Book chapters on the topic "Learning aid"

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Potnis, S. C. "Efficient Teaching Aid: Self-Learning Models." In Proceedings of the International Conference on Transformations in Engineering Education, 603. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1931-6_87.

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Shirsekar, Siddhesh Sushil. "Learning Aid in Braille and Typography." In Research into Design for Communities, Volume 2, 433–42. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3521-0_37.

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Tamon, Christino. "Learning with the Aid of an Oracle." In Encyclopedia of Algorithms, 1089–92. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_193.

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Sasupilli, Madhuri, Prasad Bokil, and Poonam Wagle. "Designing a Learning Aid for Dyslexic Children." In Smart Innovation, Systems and Technologies, 703–12. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5977-4_59.

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Tamon, Christino. "Learning with the Aid of an Oracle." In Encyclopedia of Algorithms, 423–25. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_193.

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Sharma, Reshabh Kumar, Aman Alam Bora, Sachin Bhaskar, and Prabhat Kumar. "Audio–Video Aid Generator for Multisensory Learning." In Advances in Intelligent Systems and Computing, 645–53. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1286-5_57.

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Lowe, Richard. "Animation of Diagrams: An Aid to Learning?" In Theory and Application of Diagrams, 475–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44590-0_40.

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Huang, Yongsong, Qingzhong Wang, and Shinichiro Omachi. "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN." In Machine Learning in Medical Imaging, 43–52. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21014-3_5.

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Cruz-Benito, Juan, Ismael Faro, Francisco Martín-Fernández, Roberto Therón, and Francisco J. García-Peñalvo. "A Deep-Learning-Based Proposal to Aid Users in Quantum Computing Programming." In Learning and Collaboration Technologies. Learning and Teaching, 421–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91152-6_32.

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Crook, Paul A., and Gillian Hayes. "Could Active Perception Aid Navigation of Partially Observable Grid Worlds?" In Machine Learning: ECML 2003, 72–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39857-8_9.

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Conference papers on the topic "Learning aid"

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Šajn, Lidija. "Rhythm and Dancing – the Learning and Development Aid." In Developing Effective Learning. University of Primorska Press, 2020. http://dx.doi.org/10.26493/978-961-293-002-8.26.

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Biddle, Robert, John Miller-Williams, Ewan Tempero, and Eduard Vaks. "Tools to aid learning reusability." In the third Australasian conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/289393.289413.

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Chakraborty, Debashis, Ranganath Bannerjee, Shouvik Das, and Abhijit Das. "Teaching aid software — Training autistic children through computers." In 2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH). IEEE, 2017. http://dx.doi.org/10.1109/eleltech.2017.8074998.

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Taylor, Zach. "Learning to Speak Financial Aid: A National Knowledge Survey Exploring Financial Aid Jargon." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1569197.

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Bhatia, Lavannya, and S. S. Prasad. "COPAL — Cognitive personalized aid for learning." In 2015 International Conference on Cognitive Computing and Information Processing (CCIP). IEEE, 2015. http://dx.doi.org/10.1109/ccip.2015.7100698.

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Ypma, Alexander, Serkan Ozer, Erik van der Werf, and Bert de Vries. "Bayesian Feature Selection for Hearing Aid Personalization." In 2007 IEEE Workshop on Machine Learning for Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/mlsp.2007.4414344.

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Oliveira, Fabiane Aparecida de, Flaviana Cristina Nishimura, Viviane de Fatima Bartholo, Elaine Pasqualini, Silvia Helena de Oliveira Santos, Vera Lucia Silva Camargo, and Rosemeiry de Castro Prado. "Easy Math: A Learning Aid Application in Mathematics." In 2019 XIV Latin American Conference on Learning Technologies (LACLO). IEEE, 2019. http://dx.doi.org/10.1109/laclo49268.2019.00023.

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Doncheva, Julia, Sara Melandri, and Manuela Valentini. "TECHNOLOGY AS A SCHOOL AID IN MOTOR ACTIVITY." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.0251.

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Poon, James, Yunduan Cui, Jaime Valls Miro, and Takamitsu Matsubara. "Learning Mobility Aid Assistance via Decoupled Observation Models." In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2018. http://dx.doi.org/10.1109/icarcv.2018.8581375.

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Gorringe, Chris, and Terry Coles. "IEEE 1641 signal modelling as a learning aid." In 2007 IEEE Autotestcon. IEEE, 2007. http://dx.doi.org/10.1109/autest.2007.4374291.

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Reports on the topic "Learning aid"

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Kieras, David E. Learning about Equipment from Technical Documentation: A Basic Comprehensible Writing Aid. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada217958.

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Davis, Cathlyn. Summative Evaluation: UFERN Framework Professional Learning Community. Oregon State University, March 2022. http://dx.doi.org/10.5399/osu/1153.

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The UFERN Framework Professional Learning Community project was funded as a supplement to the existing NSF-funded Undergraduate Field Experiences Research Network (UFERN), which sought to build a vibrant, supportive, and sustainable collaborative network that fostered effective undergraduate field experiences. The goals of the UFERN Framework Professional Learning Community (PLC) supplement were: • To support a small group of field educators in intentional design, implementation and assessment of student-centered undergraduate field experiences in a range of field learning contexts; • To develop effective strategies for supporting undergraduate field educators in using the UFERN Framework as an aid for designing, implementing, and assessing student-centered undergraduate field experience programs; • To assemble vignettes featuring applications of the UFERN Framework in a range of program contexts; and • To expand the community of field educators interested in designing, implementing, and assessing student-centered undergraduate field learning experiences. Sixteen educators participated in the PLC, which targeted participants who taught and facilitated a range of undergraduate field experiences (UFEs) that varied in terms of setting, timing, focus and student population. Due to the COVID pandemic, the originally-planned three-month intensive training took place over nine months (January to October 2021). It consisted of seven video conference sessions (via Zoom) with presentations and homework assignments. It included independent work, as well as guided group discussions with project leaders and other participants, which were supported by online collaborative tools.
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Millican, Juliet. Civil Society Learning Journey Briefing Note 3: Methods for Supporting or Countering Informal Social Movements. Institute of Development Studies, October 2022. http://dx.doi.org/10.19088/k4d.2022.153.

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In 2018 key concerns included shrinking civic space and the impact of this on democracy. Developments between the two periods, particularly the COVID-19 pandemic, the Black Lives Matter and decolonisation movements, have only increased emphasis on commitments made as part of the Grand Bargain to localise and decolonise. This invariably means working more frequently with local partners and civil society organisations in the delivery of international aid to advance Open Society and Human Rights agendas. These three briefing notes summarise key considerations emerging from the ‘Working with Civil Society’ Learning Journey facilitated for the Foreign, Commonwealth and Development Office (FCDO) as part of the Knowledge, Evidence and Learning for Development (K4D) Programme.
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Millican, Juliet. Civil Society Learning Journey Briefing Note 2: Evaluating Efficacy When Funding CSOs Promoting Democracy and Open Societies. Institute of Development Studies, October 2022. http://dx.doi.org/10.19088/k4d.2022.152.

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In 2018 key concerns included shrinking civic space and the impact of this on democracy. Developments between the two periods, particularly the COVID-19 pandemic, the Black Lives Matter and decolonisation movements, have only increased emphasis on commitments made as part of the Grand Bargain to localise and decolonise. This invariably means working more frequently with local partners and civil society organisations in the delivery of international aid to advance Open Society and Human Rights agendas. These three briefing notes summarise key considerations emerging from the ‘Working with Civil Society’ Learning Journey facilitated for the Foreign, Commonwealth and Development Office (FCDO) as part of the Knowledge, Evidence and Learning for Development (K4D) Programme.
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Millican, Juliet. Civil Society Learning Journey Briefing Note 1: What are the Strengths and Weaknesses of INGOs Delivering Development Outcomes? Institute of Development Studies, October 2022. http://dx.doi.org/10.19088/k4d.2022.151.

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In 2018 key concerns included shrinking civic space and the impact of this on democracy. Developments between the two periods, particularly the COVID-19 pandemic, the Black Lives Matter and decolonisation movements, have only increased emphasis on commitments made as part of the Grand Bargain to localise and decolonise. This invariably means working more frequently with local partners and civil society organisations in the delivery of international aid to advance Open Society and Human Rights agendas. These three briefing notes summarise key considerations emerging from the ‘Working with Civil Society’ Learning Journey facilitated for the Foreign, Commonwealth and Development Office (FCDO) as part of the Knowledge, Evidence and Learning for Development (K4D) Programme.
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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR activity classes (i.e., agonist, antagonist, inactive, and inconclusive) at the same distribution rates amongst the training, validation and test subsets. Deep neural networks (DNN) and random forest (RF), representing deep and shallow learning algorithms, respectively, were chosen to carry out structure-activity relationship-based chemical toxicity prediction. Results suggest that DNN significantly outperformed RF (p < 0.001, ANOVA) by 22–27% for four metrics (precision, recall, F-measure, and AUPRC) and by 11% for another (AUROC). Further in-depth analyses of chemical scaffolding shed insights on structural alerts for AR agonists/antagonists and inactive/inconclusive compounds, which may aid in future drug discovery and improvement of toxicity prediction modeling.
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7

Barkatov, Igor V., Volodymyr S. Farafonov, Valeriy O. Tiurin, Serhiy S. Honcharuk, Vitaliy I. Barkatov, and Hennadiy M. Kravtsov. New effective aid for teaching technology subjects: 3D spherical panoramas joined with virtual reality. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4407.

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Abstract:
Rapid development of modern technology and its increasing complexity make high demands to the quality of training of its users. Among others, an important class is vehicles, both civil and military. In the teaching of associated subjects, the accepted hierarchy of teaching aids includes common visual aids (posters, videos, scale models etc.) on the first stage, followed by simulators ranging in complexity, and finished at real vehicles. It allows achieving some balance between cost and efficiency by partial replacement of more expensive and elaborated aids with the less expensive ones. However, the analysis of teaching experience in the Military Institute of Armored Forces of National Technical University “Kharkiv Polytechnic Institute” (Institute) reveals that the balance is still suboptimal, and the present teaching aids are still not enough to allow efficient teaching. This fact raises the problem of extending the range of available teaching aids for vehicle-related subjects, which is the aim of the work. Benefiting from the modern information and visualization technologies, we present a new teaching aid that constitutes a spherical (360° or 3D) photographic panorama and a Virtual Reality (VR) device. The nature of the aid, its potential applications, limitations and benefits in comparison to the common aids are discussed. The proposed aid is shown to be cost-effective and is proved to increase efficiency of training, according to the results of a teaching experiment that was carried out in the Institute. For the implementation, a tight collaboration between the Institute and an IT company “Innovative Distance Learning Systems Limited” was established. A series of panoramas, which are already available, and its planned expansions are presented. The authors conclude that the proposed aid may significantly improve the cost-efficiency balance of teaching a range of technology subjects.
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8

Shute, Valerie J. Learning Processes and Learning Outcomes. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada252149.

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9

UK, Institute of Development Studies. IDS Annual Review 2021–22. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/ids.2022.054.

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It has been a year marked by conflict, climate change, and Covid-19 – intersecting crises that intensify and entrench longer-term vulnerabilities. As we highlight in the IDS 2021–22 Annual Review, these uncertain times demand that development research be done differently, with new approaches to learning and knowledge exchange that engage policy actors and diverse communities. Our work in the past year has centred on navigating uncertainties and crises, and despite the ongoing effects of Covid-19 and the challenge of major cuts to UK Government aid funding, IDS has made exciting progress. Read the 2021–22 Annual Review to find out more.
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10

Carter, Becky. Integrating Local Voices into Programme Governance in Fragile and Conflict-Affected Settings. Institute of Development Studies, July 2022. http://dx.doi.org/10.19088/k4d.2022.110.

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This rapid literature review explores how local people’s views and perspectives on their concerns, needs and capabilities (beyond asking about their experiences with aid) have been integrated into the national-level governance mechanisms of humanitarian assistance and development programmes in fragile and conflict-affected settings. There is limited systematic evidence available on this topic. There are a few cases of including civil society in national-level programme or sector governance bodies; there is more documented experience of including local actors in humanitarian response coordination. There is also relevant learning from feedback mechanisms, analysis and research, and people-centred approaches to aid planning and management more generally. The literature highlights the importance of conflict-sensitive approaches underpinned by regular conflict and political economy analysis; consulting with local actors on how they want to communicate and engage, and setting up safe and effective spaces for engagement; investing in long-term partnerships and capacity building to strengthen local organisations; and undertaking participatory, qualitative research that starts from ‘people’s own reading of how their lives are changing over time’ (Daigle, 2022: 15).
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