Relevant bibliographies by topics / Motor learning and execution

Contents

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

Academic literature on the topic 'Motor learning and execution'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Motor learning and execution"

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Diedrichsen, Jörn, and Katja Kornysheva. "Motor skill learning between selection and execution." Trends in Cognitive Sciences 19, no. 4 (2015): 227–33. http://dx.doi.org/10.1016/j.tics.2015.02.003.

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Torriero, Sara, Massimiliano Oliveri, Giacomo Koch, et al. "Changes in Cerebello-motor Connectivity during Procedural Learning by Actual Execution and Observation." Journal of Cognitive Neuroscience 23, no. 2 (2011): 338–48. http://dx.doi.org/10.1162/jocn.2010.21471.

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The cerebellum is involved in motor learning of new procedures both during actual execution of a motor task and during observational training. These processes are thought to depend on the activity of a neural network that involves the lateral cerebellum and primary motor cortex (M1). In this study, we used a twin-coil TMS technique to investigate whether execution and observation of a visuomotor procedural learning task is related to modulation of cerebello-motor connectivity. We observed that, at rest, a magnetic conditioning pulse applied over the lateral cerebellum reduced the motor-evoked
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Jäger, Anna-Thekla P., Julia M. Huntenburg, Stefanie A. Tremblay, et al. "Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study." Brain Structure and Function 227, no. 3 (2021): 793–807. http://dx.doi.org/10.1007/s00429-021-02412-7.

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AbstractIn motor learning, sequence specificity, i.e. the learning of specific sequential associations, has predominantly been studied using task-based fMRI paradigms. However, offline changes in resting state functional connectivity after sequence-specific motor learning are less well understood. Previous research has established that plastic changes following motor learning can be divided into stages including fast learning, slow learning and retention. A description of how resting state functional connectivity after sequence-specific motor sequence learning (MSL) develops across these stage
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Torriani-Pasin, Camila, Gisele Carla dos Santos Palma, Cristiane Matsumoto Jakabi, Cinthya Walter, Andrea Michele Freudenheim, and Umberto César Correa. "Motor Learning of a cognitive-motor task after stroke." Revista Brasileira de Educação Física e Esporte 34, no. 1 (2020): 1–9. http://dx.doi.org/10.11606/1807-5509202000010001.

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The aim of this study was investigated a maze learning in stroke individuals. Forty participants assigned into two groups: experimental (stroke participants; n = 20) and control (neurologically healthy participants; n = 20). The study involved an acquisition phase, a transfer test, and a short-and longterm retention tests. The task consisted in complete a maze, with paper and pen, in the shortest time possible. The dependent variables were execution time and error. Data were analyzed with an Anova- two way with Repeated Measures for these variables. Results showed learning for both groups, but
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Torriani-Pasin, Camila, Gisele Carla dos Santos Palma, Cristiane Matsumoto Jakabi, Cinthya Walter, Andrea Michele Freudenheim, and Umberto César Correa. "Motor Learning of a cognitive-motor task after stroke." Revista Brasileira de Educação Física e Esporte 34, no. 1 (2020): 1–9. http://dx.doi.org/10.11606/issn.1981-4690.v34i1p1-9.

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The aim of this study was investigated a maze learning in stroke individuals. Forty participants assigned into two groups: experimental (stroke participants; n = 20) and control (neurologically healthy participants; n = 20). The study involved an acquisition phase, a transfer test, and a short-and longterm retention tests. The task consisted in complete a maze, with paper and pen, in the shortest time possible. The dependent variables were execution time and error. Data were analyzed with an Anova- two way with Repeated Measures for these variables. Results showed learning for both groups, but
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Domingues, Clayton Amaral, Sergio Machado, Emerson Garcia Cavaleiro, et al. "Alpha absolute power: motor learning of practical pistol shooting." Arquivos de Neuro-Psiquiatria 66, no. 2b (2008): 336–40. http://dx.doi.org/10.1590/s0004-282x2008000300010.

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The present study aimed at investigating changes in behavior (shooting precision) and electrophysiological variables (absolute alpha power) during the motor learning of practical pistol shooting. The sample was composed of 23 healthy subjects, right-handed, male, between 18 and 20 years of age. The task consisted of four learning blocks. A One-way ANOVA with repeated measures and a post hoc analysis were employed to observe modifications on behavioral and electrophysiological measures (p<0.05). The results showed significative differences between blocks according to motor learning, and a si
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Sobierajewicz, Jagna, Sylwia Szarkiewicz, Anna Przekoracka-Krawczyk, Wojciech Jaśkowski, and Rob H. J. van der Lubbe. "To What Extent Can Motor Imagery Replace Motor Execution While Learning a Fine Motor Skill?" Advances in Cognitive Psychology 12, no. 4 (2016): 178–91. http://dx.doi.org/10.5709/acp-0197-1.

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Stoter, Arjan J. R., Erik J. A. Scherder, Yvo P. T. Kamsma, and Theo Mulder. "Rehearsal Strategies during Motor-Sequence Learning in Old Age: Execution vs Motor Imagery." Perceptual and Motor Skills 106, no. 3 (2008): 967–78. http://dx.doi.org/10.2466/pms.106.3.967-978.

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Badr, Laïla, Léandre Gagné-Pelletier, Hugo Massé-Alarie, and Catherine Mercier. "Effect of Phasic Experimental Pain Applied during Motor Preparation or Execution on Motor Performance and Adaptation in a Reaching Task: A Randomized Trial." Brain Sciences 14, no. 9 (2024): 851. http://dx.doi.org/10.3390/brainsci14090851.

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Musculoskeletal conditions often involve pain related to specific movements. However, most studies on the impact of experimental pain on motor performance and learning have used tonic pain models. This study aimed to evaluate the effect of experimental phasic pain during the preparation or execution of a reaching task on the acquisition and retention of sensorimotor adaptation. Participants were divided into three groups: no pain, pain during motor preparation, and pain during motor execution. Pain was induced over the scapula with a laser while participants performed a force field adaptation
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Cho, Nam Jun, Sang Hyoung Lee, Jong Bok Kim, and Il Hong Suh. "Learning, Improving, and Generalizing Motor Skills for the Peg-in-Hole Tasks Based on Imitation Learning and Self-Learning." Applied Sciences 10, no. 8 (2020): 2719. http://dx.doi.org/10.3390/app10082719.

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We propose a framework based on imitation learning and self-learning to enable robots to learn, improve, and generalize motor skills. The peg-in-hole task is important in manufacturing assembly work. Two motor skills for the peg-in-hole task are targeted: “hole search” and “peg insertion”. The robots learn initial motor skills from human demonstrations and then improve and/or generalize them through reinforcement learning (RL). An initial motor skill is represented as a concatenation of the parameters of a hidden Markov model (HMM) and a dynamic movement primitive (DMP) to classify input signa
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Dissertations / Theses on the topic "Motor learning and execution"

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Marchant, David Christopher. "The effects of internally and externally directed attention during motor skill execution and learning." Thesis, University of Hull, 2005. http://hydra.hull.ac.uk/resources/hull:11168.

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Focusing attention onto the intended outcome or goal of a movement (an External focus of attention) has been shown to be more beneficial to the learning and performance of movements than focusing onto the components of the movement being carried out (an Internal focus of attention). In this thesis, four studies assessed the effects of attentional focusing strategies on the learning and execution of motor skills during different situations. Study 1 demonstrated that an internal focus of attention during a suprapostural pointing task resulted in degraded postural control as well as larger moveme
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Ko, Raymond. "The Role of the Basal Ganglia in Executing and Learning Complex Motor Sequences." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493272.

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We learn and perform precise motor sequences to interact with the environment. This ability underlies much of what we do, from playing musical instruments and using new tools to producing fluent speech. Understanding the neural circuits involved in producing these sequences is a central objective of the field of motor learning. In this dissertation, I study the role of the basal ganglia in complex motor sequence learning and execution, and how they coordinate with the rest of the brain to fulfill both functions. First, I investigate whether the striatum is involved in complex sequence execut
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Parziale, Antonio. "A neurocomputational model of reaching movements." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2341.

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2013 - 2014<br>How the brain controls movement is a question that has fascinated researchers from different areas as neuroscience, robotics and psychology. To understand how we move is not only an intellectual challenge, but it is important for finding new strategies for nursing people with movement diseases, for rehabilitation and to develop new robotic technology. While there is an agreement about the role of the primary motor cortex (M1) in the execution of voluntary movements, it is still debated what (and how) is encoded by the neural activity of the motor cortex. To unveil the "c
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Pompéu, José Eduardo. "Melhora funcional de pacientes com doença de Parkinson após treinamento em ambientes real e virtual." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/47/47135/tde-05102012-113814/.

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O objetivo do presente estudo foi comparar os efeitos de dois tipos de programas de treinamento de equilíbrio, um baseado no Nintendo Wii Fit e o outro baseado nos exercícios tradicionais sem a utilização de videogame, no equilíbrio, funcionalidade e cognição de pacientes com doença de Parkinson. Trata-se de um ensaio clínico cego e randomizado realizado na Associação Brasil Parkinson e no Centro de Docência e Pesquisa dos Cursos de Fonoaudiologia, Fisioterapia e Terapia Ocupacional da Universidade de São Paulo. Participaram do estudo 32 pacientes com doença de Parkinson nos estágios 1 a 2,5 d
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Weinberg, Isobel Claire. "Expectation in motor planning and execution." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10049246/.

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Expectation has been studied extensively in the decision-making field and its possible implementation in influential decision-making models has been formulated. Decision-making has historically been studied separately to motor planning. However, recent data suggest decisionmaking and motor planning overlap in time, with competing action plans in motor cortex biased by the ongoing decision. There has therefore been increasing interest in studying the interplay between decision-making and motor planning. Past experiments have typically studied the decision between two movements, when each moveme
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Kadlec, Daniel. "Motor capacity and sidestepping execution strategies in female athletes." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2536.

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Non-contact anterior cruciate ligament (ACL) injuries during sidestepping occur when the imposed knee joint loading exceeds the load tolerance of the tissues. The load tolerance thresholds can be modified with appropriate training (e.g., resistance training and plyometrics) and thus increase injury resilience. However, despite such insights, the incidence of ACL injury has not decreased in recent years. Injury is of particular concern for female athletes who present with significantly higher rates than male athletes. Understanding how different constraints shape an athlete’s movement strategy
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Dahlén, Olle, and Axel Rantil. "Optimized Trade Execution with Reinforcement Learning." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150186.

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In this thesis, we study the problem of buying or selling a given volume of a financial asset within a given time horizon to the best possible price, a problem formally known as optimized trade execution. Our approach is an empirical one. We use historical data to simulate the process of placing artificial orders in a market. This simulation enables us to model the problem as a Markov decision process (MDP). Given this MDP, we train and evaluate a set of reinforcement learning (RL) algorithms all with the objective to minimize the transaction cost on unseen test data. We train and evaluate the
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Morris, Nicole K. "Perception, Cognition, and Action in the Execution of a Motor Skill." Miami University Honors Theses / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1303917744.

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Shalabi, Kholood Matouq. "Motor learning and inter-manual transfer of motor learning after a stroke." Thesis, University of Newcastle upon Tyne, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.768491.

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Aims: 1) To measure automatically in stroke survivors and neurologically intact adults, learning, inter-manual transfer (ImT) and retention of learning (Ret.) of a task requiring two sequential actions embedded with-in a video game. 2) To assess the effect of age and side of stroke on learning, ImT, and Ret. of a motor task consisting of two sequentially linked actions. Participants: All participants were right hand dominant and included: A) 112 neurologically intact adults comprising: 72 younger adults (41 females), mean±SD age, 27.06±4.8 years, range 20-36 years and 40 older adults (26 femal
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侯江濤 and Kong-to William Hau. "Artificial neural networks, motor programs and motor learning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240227.

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Books on the topic "Motor learning and execution"

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Rothstein, Anne L. Motor learning. American Alliance for Health, Physical Education, Recreation, and Dance, 1987.

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Rothstein, Anne L. Motor learning. American Alliance for Health, Physical Education, Recreation, and Dance, 1987.

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Kober, Jens, and Jan Peters. Learning Motor Skills. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03194-1.

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A, Crutchfield Carolyn, and Barnes Marylou R, eds. Motor control and motor learning in rehabilitation. Stokesville Pub. Co., 1993.

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Latash, Mark L., and Francis Lestienne, eds. Motor Control and Learning. Springer US, 2006. http://dx.doi.org/10.1007/0-387-28287-4.

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Shea, Charles H. Motor learning and control. Allyn and Bacon, 1993.

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A, Wrisberg Craig, ed. Motor learning and performance. 2nd ed. Human Kinetics, 2000.

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A, Wrisberg Craig, ed. Motor learning and performance. 3rd ed. Human Kinetics, 2004.

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1948-, Reid Greg, and Collier Douglas Holden 1953-, eds. Motor learning and development. Human Kinetics, 2011.

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Wayne, Shebilske, and Worchel Stephen, eds. Motor learning and control. Prentice Hall, 1993.

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Book chapters on the topic "Motor learning and execution"

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Delgado-García, J. M., A. Gruart, J. A. Domingo, and J. A. Trigo. "Quantal neural mechanisms underlying movement execution and motor learning." In Biological and Artificial Computation: From Neuroscience to Technology. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0032470.

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Wulf, Gabriele. "Motor Learning." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_869.

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Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, et al. "Motor Learning." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_3411.

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Goertzel, Ben. "Motor Learning." In The Structure of Intelligence. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-4336-6_11.

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Carrière, Beate. "Motor Learning." In The Swiss Ball. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58864-8_3.

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Jingcheng, Li. "Motor Learning." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_981-1.

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Maring, Joyce R., and Susan Joy Leach. "Motor Learning." In Teaching and Learning in Physical Therapy, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003526704-10.

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Barreiros, João, and Pedro Passos. "Guiding learning." In Motor Behavior. Routledge, 2025. https://doi.org/10.4324/9781003542391-17.

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Kokai, Yuki, Isao Nambu, and Yasuhiro Wada. "Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution." In Neural Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63836-8_8.

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Boehm, Matthias, Arun Kumar, and Jun Yang. "Execution Strategies." In Data Management in Machine Learning Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-01869-5_5.

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Conference papers on the topic "Motor learning and execution"

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Masouleh, Ali Darzi, Fariba Bahrami, and Ahmad Kalhor. "Identifying Motor Tasks From EEG Signals of Planning and Execution Phases by CNNs in a Motor Learning Procedure." In 2024 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2024. https://doi.org/10.1109/icbme64381.2024.10895823.

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Samuel, Oluwarotimi Williams, Mojisola Grace Asogbon, Frank Kulwa, et al. "An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients’ Motor Execution from Multi-Channel EEG-Recordings." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782368.

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Ribeiro, Tiago, Ress Marta Paz, and Clara Vasconcelos. "VIRTUAL FIELD TRIPS IN NATURAL SCIENCES EDUCATION: ADVANTAGES, CHALLENGES, AND A PRACTICAL APPLICATION AT PORTUGAL." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s08/69.

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Field trips have long been heralded as an invaluable component of natural sciences education, offering direct engagement with the real world and fostering critical competencies such as environmental insight. However, traditional field trips often face significant barriers, including economic and logistical challenges and a general lack of familiarity among educators with these activities. Virtual field trips (VFTs) present a solution by mitigating these issues digitally. This work proposes a theoretical and practical exploration into the use of VFTs within natural sciences curricula, utilising
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Li, Zhi, Cai Chen, Fulai Peng, et al. "Siamese Network for EEG Classification of Motor Execution and Imagery." In 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA). IEEE, 2025. https://doi.org/10.1109/icpeca63937.2025.10928744.

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Xiang, Tian-Yu, Xiao-Hu Zhou, Xiao-Liang Xie, et al. "Cross-Modal Motor Representation Learning." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650264.

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Shin, Hye-Bin, Kang Yin, and Seong-Whan Lee. "Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution." In 2024 12th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2024. http://dx.doi.org/10.1109/bci60775.2024.10480502.

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Mattei, Enrico, Daniele Lozzi, Alessandro Di Matteo, et al. "Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution." In 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2024. http://dx.doi.org/10.1109/cbms61543.2024.00097.

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Aslan, Oğuzhan, Kurt Kağan Kurtoğlu, Kutay Yeşilalan, and Sinem Burcu Erdoğan. "Machine Learning Based Prediction of Motor Imagery and Motor Execution Tasks from Functional Near Infrared Spectroscopy Signals." In Optics and the Brain. OSA, 2020. http://dx.doi.org/10.1364/brain.2020.bm4c.2.

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Corlaci, Ionut, and Mihaela Puiu. "THE WAYS FOR IMPROVING THE USE OF VISUAL FEEDBACK BY E-PROGRAMMES IN MEN'S ARTISTIC GYMNASTICS." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-225.

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An important element for improving technical performances in sport is the access of coaches and athletes to objective information regarding the form and content of specific movements. In artistic gymnastics, the organisation and regulation of motor behaviour, necessary to improve the perceptual motor skills, are based mainly on proprioceptive information. Hypothesis: We want to highlight through this research the fact that by using visual feedback we can shorten or improve time for learning elements, combinations of elements, but also create attractive exercises in high performance training. H
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Đorđević, Anđela, Saša S. Nikolić, Miodrag Spasić, and Jelena Dimitrijević. "Application of Convolutional Neural Networks for Motor Fault Diagnosis: An Overview." In XVII International Conference on Systems, Automatic Control and Measurements. University of Niš, Faculty of Electronic Engineering, Faculty of Mechanical Engineering, Niš, 2024. https://doi.org/10.46793/saum24.159dj.

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Maintenance of electric motors presents a task of high importance in industrial systems, as the motors are their vital components. With the demands of high system autonomy in Industry 4.0 and along with the rapid development of artificial intelligence, intelligent maintenance starts playing a crucial role in the industrial environment. Deep learning methods have especially proved to be effective tools in executing fault diagnosis tasks. In the last five years, the deep learning structures that have predominantly been applied in electric motor maintenance are convolutional neural networks (CNNs
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Reports on the topic "Motor learning and execution"

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Hudson, Kesha N., and Michael T. Willoughby. The Multiple Benefits of Motor Competence Skills in Early Childhood. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0027.2108.

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Recent findings from the Kids Activity and Learning Study complement North Carolina’s multidimensional approach to promoting school readiness by emphasizing the integrated nature of motor and cognitive development in early childhood. Children whose motor skills improved the most over the course of an academic year also tended to demonstrate the biggest gains in executive function and numeracy skills. Children who participated in adaptive, group-based motor skill activities demonstrated gains in motor competence, executive function, and numeracy skills. Incorporating motor activities into estab
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ji, yuqin, hao tian, qiang ye, zhuoyan ye, and zeyu zheng. Effectiveness of exercise intervention on improving fundamental motor skills in children with autism spectrum disorder: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0013.

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Review question / Objective: This systematic review and meta-analysis aimed to synthesize available randomized controlled trial studies concerning the effects of exercise interventions on fundamental motor skills in children with autism spectrum disorder. Condition being studied: Autism Spectrum Disorder (ASD) is a complicated and highly prevalent neuro-developmental disorder characterized by deficits in social communication, restricted interests, and repetitive behaviors. The CDC reported that the prevalence of ASD was estimated to be 1 in 59 in the United States by 2020. Along with typical s
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Thrun, Sebastian. MAPLE: Multi-Agent Planning, Learning, and Execution. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada421529.

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Zhu, Song-Chun. MATHEMATICS OF SENSING, EXPLOITATION, AND EXECUTION (MSEE) Sensing, Exploitation, and Execution (SEE) on a Foundation for Representation, Inference, and Learning. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1011558.

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Cao, Larry. III. Trading with Machine Learning and Big Data. CFA Institute Research Foundation, 2023. http://dx.doi.org/10.56227/23.1.9.

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Despite their willingness and investment, many asset managers are struggling to establish an efficient and programmatic way to incorporate machine learning and big data into their execution strategies. Our contributors share their perspectives.
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Thompson, Richard F. A Biological Neural Network Analysis of Learning and Memory: The Cerebellum and Sensory Motor Conditioning. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada304568.

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Jie, Li-Juan, Melanie Kleynen, Guus Rothuizen, Elmar Kal, Andreas Rothgangel, and Susy Braun. Overview of effects of motor learning strategies in neurological and geriatric populations: a systematic mapping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.3.0056.

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Nickerson, Jeffrey, Kalle Lyytinen, and John L. King. Automated Vehicles: A Human/Machine Co-learning Perspective. SAE International, 2022. http://dx.doi.org/10.4271/epr2022009.

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Automated vehicles (AVs)—and the automated driving systems (ADSs) that enable them—are increasing in prevalence but remain far from ubiquitous. Progress has occurred in spurts, followed by lulls, while the motor transportation system learns to design, deploy, and regulate AVs. Automated Vehicles: A Human/Machine Co-learning Experience focuses on how engineers, regulators, and road users are all learning about a technology that has the potential to transform society. Those engaged in the design of ADSs and AVs may find it useful to consider that the spurts and lulls and stakeholder tussles are
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Arhin, Stephen, Babin Manandhar, and Adam Gatiba. Influence of Pavement Conditions on Commercial Motor Vehicle Crashes. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2343.

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Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected
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10

Rosas-Shady, David, Yuri Soares, and Pablo Ibarrarán. Impact Evaluation of a Youth Job Training Program in the Dominican Republic: Ex-Post Project Evaluation Report of the Labor Training and Modernization Project (DR0134). Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0008767.

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This document constitutes a comprehensive evaluation of Juventud y Empleo (JE), the training program financed by the Bank in the Dominican Republic since 1999. The Ex-Post Project Evaluation Report presents the basic information about the project: the context under it was developed, the basic design features (inputs, outputs, outcomes) and the underlying model, the evaluability (at design and during the execution of the loan), and the execution efficiency and efficacy (institutions involved, financial resources utilized, execution problems, outputs, outcomes and sustainability). It contributes
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