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Relevant bibliographies by topics / Modes of training

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Academic literature on the topic 'Modes of training'

Author: Grafiati

Published: 5 June 2025

Last updated: 25 June 2025

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Journal articles on the topic "Modes of training"

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MORRISSEY, MATTHEW C., EVERETT A. HARMAN, and MICHAEL J. JOHNSON. "Resistance training modes." Medicine & Science in Sports & Exercise 27, no. 5 (1995): 648???660. http://dx.doi.org/10.1249/00005768-199505000-00006.

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Scanlan, Aaron T., Neal Wen, Patrick S. Tucker, Nattai R. Borges, and Vincent J. Dalbo. "Training Mode’s Influence on the Relationships between Training-Load Models During Basketball Conditioning." International Journal of Sports Physiology and Performance 9, no. 5 (2014): 851–56. http://dx.doi.org/10.1123/ijspp.2013-0410.

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Purpose:To compare perceptual and physiological training-load responses during various basketball training modes.Methods:Eight semiprofessional male basketball players (age 26.3 ± 6.7 y, height 188.1 ± 6.2 cm, body mass 92.0 ± 13.8 kg) were monitored across a 10-wk period in the preparatory phase of their training plan. Player session ratings of perceived exertion (sRPE) and heart-rate (HR) responses were gathered across base, specific, and tactical/game-play training modes. Pearson correlations were used to determine the relationships between the sRPE model and 2 HR-based models: the training impulse (TRIMP) and summated HR zones (SHRZ). One-way ANOVAs were used to compare training loads between training modes for each model.Results:Stronger relationships between perceptual and physiological models were evident during base (sRPE-TRIMP r = .53, P < .05; sRPE-SHRZ r = .75, P < .05) and tactical/game-play conditioning (sRPE-TRIMP r = .60, P < .05; sRPE-SHRZ r = .63; P < .05) than during specific conditioning (sRPE-TRIMP r = .38, P < .05; sRPE-SHRZ r = .52; P < .05). Furthermore, the sRPE model detected greater increases (126–429 AU) in training load than the TRIMP (15–65 AU) and SHRZ models (27–170 AU) transitioning between training modes.Conclusions:While the training-load models were significantly correlated during each training mode, weaker relationships were observed during specific conditioning. Comparisons suggest that the HR-based models were less effective in detecting periodized increases in training load, particularly during court-based, intermittent, multidirectional drills. The practical benefits and sensitivity of the sRPE model support its use across different basketball training modes.

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Ebben, William P., and Phillip B. Watts. "A Review of Combined Weight Training and Plyometric Training Modes: Complex Training." STRENGTH AND CONDITIONING JOURNAL 20, no. 5 (1998): 18. http://dx.doi.org/10.1519/1073-6840(1998)020<0018:arocwt>2.3.co;2.

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Stone, Michael H., David Collins, Steven Plisk, Greg Haff, and Margaret E. Stone. "Training Principles: Evaluation of Modes and Methods of Resistance Training." Strength and Conditioning Journal 22, no. 3 (2000): 65. http://dx.doi.org/10.1519/1533-4295(2000)022<0065:tpeoma>2.0.co;2.

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Kawano, Hiroshi. "Exercise training modes and vascular adaptations." Journal of Physical Fitness and Sports Medicine 2, no. 1 (2013): 107–10. http://dx.doi.org/10.7600/jpfsm.2.107.

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Harman, Everett. "Resistance Training Modes: A Biomechanical Perspective." STRENGTH AND CONDITIONING JOURNAL 16, no. 2 (1994): 59. http://dx.doi.org/10.1519/1073-6840(1994)016<0059:rtmabp>2.3.co;2.

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Stone, Michael H., and Richard A. Borden. "Modes and Methods of Resistance Training." STRENGTH AND CONDITIONING JOURNAL 19, no. 4 (1997): 18. http://dx.doi.org/10.1519/1073-6840(1997)019<0018:mamort>2.3.co;2.

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Zhu, Min, Huang Huang, Ming Guo, and Yan Li. "New Equipment Training Based on Virtual-Real Fusion Training Model." Journal of Contemporary Educational Research 6, no. 5 (2022): 129–34. http://dx.doi.org/10.26689/jcer.v6i5.3961.

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In view of the phased development in college education, military training, and new equipment combat training, this paper proposes the virtual-real fusion training model of “five-in-one and step-by-step.” The five training modes, namely virtual panel training, immersive virtual training, physical (semi-physical) simulation training, training with equipped training equipment, and installation drill, are organically combined in the practical training of new equipment, which improves students’ innovation consciousness and serviceability.

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Bennett, Janet Marie. "Modes of cross-cultural training: Conceptualizing cross-cultural training as education." International Journal of Intercultural Relations 10, no. 2 (1986): 117–34. http://dx.doi.org/10.1016/0147-1767(86)90002-7.

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Motahari, Rad Morteza, Nahid Bijeh, Hosseini Seyyed Reza Attarzadeh, and Saeb Aliakbar Raouf. "The Impact of Different Modes of Exercise Training on Irisin: A Systematic Review and Meta-Analysis Research." Journal of Advances in Medical and Biomedical Research 29, no. 134 (2020): 125–38. https://doi.org/10.30699/jambs.29.134.125.

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<strong>Abstract:</strong>    <strong> Background & Objective: </strong> Irisin is considered as a candidate to treat obesity and metabolic diseases. Therefore, the aim of this study was a systematic review and meta-analysis to define the effective modes of exercise on irisin concentration in adults. <strong> Materials & Methods:</strong>  Google Scholar, PubMed, Medline, Scopus, Science Direct, and references lists of articles were searched until April 25, 2020. To study the impact of exercise duration (short-term and long-term) on the pre-test and post-test concentration of irisin, 21 studies with 384 subjects were evaluated. <strong> Results:  </strong>In the present study, a significant increase was found in irisin level in long-term resistance training (LTRT) intervention groups (MD:-0.61 ng/ml, 95% CI [-1.12, 0.09], <em>P</em>=0.02). However, no significant changes were reported in the groups of long- term aerobic training, short-term aerobic training, and short + long term aerobic training. <strong> Conclusion: </strong> The analysis showed that only LTRT among the types of exercise can elevate irisin concentration. Therefore, LTRT seems to have more beneficial influences, compared to other modes of exercise in inclusive irisin responses. <strong>Keywords: </strong>Aerobic training, Irisin, Resistance training

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Dissertations / Theses on the topic "Modes of training"

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Stone, Michael H., and Margaret E. Stone. "Resistance Training Modes: a Practical Perspective." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/4677.

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Staatsexamen, Sabine Jones. "Various modes of foreign language learning among adults." Thesis, University of Ulster, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328202.

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Johnson, Michel J. "Acute and chronic responses to varying modes of activity, a strength training perspective." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0006/MQ44696.pdf.

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Campbell, Leanne Sue. "The effects of two modes of exercise on obesity." University of Western Australia. School of Human Movement and Exercise Science, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0090.

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The purpose of this study was to assess the efficacy of two different modes of exercise in an overweight and obese population over a 12-week period. Subjects: Forty-four overweight or obese individuals were recruited from a weight loss organisation. Participants were randomised into one of two groups which were matched according to age, gender and body mass index (BMI). The interventions consisted of either intermittent interval exercise (INT group), or intermittent steady-state exercise (SS group). Participants in both groups were on an identical strict caloric diet during the intervention period. Methods: Baseline and post-intervention testing consisted of the assessment of aerobic fitness, blood lipid profile, resting metabolism, body composition, vascular function, quality of life and activity levels. The exercise regime for the INT group consisted of a 1:2 min ratio of moderate intensity (70 75% V&O2peak) to low intensity exercise (40 45% V&O2peak), while the SS group exercised continuously between 50 55% V&O2peak. Total work per session was the same per group. Exercise consisted of walking/jogging twice daily for 15 mins five days per week. Eighteen participants dropped out of the study leaving 12 in the INT group and 14 in the SS group. Results: Peak oxygen uptake and exercise time to exhaustion increased significantly over time in the interventions (P < 0.001). Significant positive changes occurred in several blood tests, including liver function, insulin like growth factor (IGF- 1) and lipid levels (cholesterol, triglyceride, low density lipoprotein (LDL) and very low density lipoprotein (VLDL) and coronary risk ratio, all P < 0.05 over time). Additionally, uric acid and VLDL levels significantly decreased over time in the SS and INT groups, respectively (P < 0.05), whereas IGF-1 levels significantly increased in the SS group over time (P < 0.05). Body composition measures, including BMI, body mass, fat mass, percent of body fat, gynoid obesity and hip circumference, as well as waist circumference decreased significantly over time (P < 0.05). Several components of the SF-36 quality of life questionnaire (physical function, role physical, bodily pain, general health, vitality, social function and mental health) improved significantly over time (P < 0.05), while mental health also significantly improved over time in the SS group (P < 0.01). Finally, anxiety and depression levels were significantly reduced over time (P < 0.05). However, none of these changes over time significantly differed between the two groups. Conclusion: Both exercise interventions resulted in significant improvement over time in numerous health and fitness variables in an overweight and obese population. No significant differences were found, in the interaction term during a 2-way ANOVA, between the two groups at post-intervention. A longer intervention period, or changes to interval duration and intensities may result in more significant differences between the two training methods.

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Nelson, Haley. "Comparison of Acquisition and Generalization of Tacts Across Three Stimulus Modes: A Replication Across Skill Levels." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7552.

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Individuals with disabilities often have a limited tact repertoire. This study compared the acquisition and generalization of tacts taught using different stimulus modes within discrete trial training (DTT) with children who have a limited tacting repertoire. The three stimulus modes that were compared were videos, pictures, and 3D objects. This research replicated Gómez’s (2015) methodology with a participant pool with lower tacting skills. In addition, this study assessed for generalization of the acquired tacts to a novel exemplar. In this study, tact training required fewer sessions when the picture and 3D object were used as stimulus modes. These results were then replicated across stimulus sets with Abraham and Alex. Finally, in this study greater generalization was observed for the tacts trained with a 3D object.

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Cocks, Matthew. "The effects of obesity and different modes of training on the skeletal muscle microvasculature." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3816/.

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The principle aims of this thesis involved the development of methods to measure enzymes that determine nitric oxide (NO) production (eNOS) and quenching (NAD(P)Hoxidase) within the microvasculature of skeletal muscle, and the use of these techniques to investigate metabolic syndrome and various training modes. Chapter 2 describes the development of reliable methods to analyse enzymes responsible for NO bioavailability within the endothelium of skeletal muscle microvessels. Chapter 3 suggests that impaired eNOS ser1176 phosphorylation is instrumental to the reductions in insulin sensitivity of obese Zucker rats. Chapter 4 reveals that 6 weeks endurance training (ET) and sprint interval training (SIT) in sedentary males induce similar increases in capillary density, and that SIT is more effective than ET at increasing eNOS content. Chapter 5 fails to observe a change in any measure of microvascular structure or function following 6 weeks resistance training in sedentary males. Chapter 6 suggests that 4 weeks of constant-load SIT is an effective intervention to improve the content of endothelial enzymes controlling NO bioavailability in obesity. In conclusion this thesis describes novel techniques which will be valuable tools for future research into microvascular function, and suggests that SIT may be an effective time efficient strategy to improve microvascular function.

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Westlake, Steven James. "The effects of two weight training modes on selected flexibility measures in college age students." Scholarly Commons, 1990. https://scholarlycommons.pacific.edu/uop_etds/2195.

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The purpose of this study was to investigate the effects of different strength training modes on joint range of motion. The problem of the study was to compare Nautilus to free-weight training modes in terms of selected joints' ranges of motion before and after an eight-week strength training program. The hypothesis asserted was that there was no difference between pre-test and post-test scores when comparing Nautilus to free-weight training modes. Subjects were thirty college-age students enrolled in beginning weight-training classes at the University of the Pacific. The subjects were acquired from intact classes and comprised two groups of 9 males and 6 females each. Pre-test and post-test flexibility measures were acquired by use of a Leighton Flex-o-meter and sit-and-reach protocols. Single joint measures of shoulder flexion, extension and abduction, hip flexion, extension and abduction, elbow flexion, knee flexion, and low back flexion were acquired. For eight weeks, two times per week, each class completed an 8 to 12 repetitions per each exercise protocol following the principles of training asserted by Nautilus. Pre-test data for all bilateral joints were statistically analyzed with paired t-tests in order to determine any differences. No significant bilateral differences were found; consequently, these data were converted to eight single measures of average range of motion of the joints respectively. Pretest data then were analyzed with two-factor ANOV A (group x gender) in order to determine if the two intact classes initially represented the same population. The only measure in which a group difference was found was shoulder extension (p

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Säfdal, Joakim. "Data-Driven Engine Fault Classification and Severity Estimation Using Interpolated Fault Modes from Limited Training Data." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173916.

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Today modern vehicles are expected to be safe, environmentally friendly, durable and economical. Monitoring the health of the vehicle is therefore more important than ever. As the complexity of vehicular systems increases the need for efficient monitoring methods has increased as well. Traditional methods of deriving models for the systems are today not as efficient as the complexity of the systems increases the time and skill needed to implement the models. An alternative is data driven methods where a collection of data associated with the behavior of the system is used to draw conclusions of the state of the system. Faults are however rare events and collecting sufficient data to cover all possible faults threatening a vehicle would be impossible. A method for drawing conclusions from limited historical data would therefore be desirable. In this thesis an algorithm using distiguishability as a method for fault classification and fault severity estimation is proposed. Historical data is interpolated over a fault severity vector using Gaussian process regression as a way to estimate fault modes for unknown fault sizes. The algorithm is then tested against validation data to evaluate the ability to detect and identify known fault classes and fault serveries, separate unknown fault classes from known fault classes, and estimate unknown fault sizes. The purpose of the study is to evaluate the possibility to use limited historical data to reduce the need for costly and time consuming data collection. The study shows promising results as fault class identification and fault size estimation using the proposed algorithm seem possible for fault sizes not included in the historical data.

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Callahan, Marcus. "Whole-body and skeletal muscle responses to divergent modes of exercise training and detraining in middle-aged men." Phd thesis, Australian Catholic University, 2021. https://acuresearchbank.acu.edu.au/download/c28acf2ece910fff15c7b1a560a861c93c1059fab17e5a1a87723e1022b8fbdd/6701717/Callahan_2021_Whole-body_and_skeletal_muscle_responses_to_%5BREDACTED%5D.pdf.

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While short-term (~six weeks) HIIT induces rapid increases in skeletal muscle oxidative capacity, the anabolic potential of HIIT for promoting concurrent gains in skeletal muscle mass has received less scientific inquiry. The experiments undertaken for this thesis investigated skeletal muscle adaptive responses following HIIT, resistance exercise training (RET) and endurance exercise training (ENT), and after a subsequent period of detraining, in sedentary, middle-aged men. Thirty-five sedentary, males (39±3 y) performed six weeks of either ENT (n=12), HIIT (n=12) or RET (n=11) followed by 2.5 weeks of detraining. Skeletal muscle gene and protein expression, muscle fiber characteristics, body composition, muscle thickness, muscle strength, aerobic capacity, resting metabolic rate and glucose control were assessed at baseline, and after exercise training and detraining. Lean mass increased after RET and HIIT (+3.2±1.6% and +1.6±2.1%, P<0.05). Muscle strength (sum of leg press, leg extension and bench press 1RMs) increased after all exercise training interventions (RET: +25±5%; HIIT: +10±5%; ENT: +7±7%, P<0.05). Aerobic capacity increased only after HIIT and ENT (+14±7% and +11±11%, P<0.05). Type I and II muscle fiber size increased for all groups after exercise training and remained elevated after detraining (main effect of time, P<0.05). Following detraining, the gains in lean mass and muscle strength were maintained in RET and HIIT groups, but maximal aerobic capacity declined below post-exercise training levels in HIIT and ENT (P<0.05). Androgen receptor, Akt and mTOR total protein increased after exercise training in all groups. Vitamin D receptor and apelin receptor mRNA increased after exercise training in all groups (main effect of time, P<0.05). Six weeks of HIIT resulted in the most pronounced skeletal muscle adaptation prior to detraining in middle-aged men. While only HIIT and RET resulted in increases in lean mass and muscle thickness, gene and protein expression of markers implicated in muscle growth responses were largely similar across all exercise training modes. Short-term detraining did not negatively impact gains in muscle size, mass or strength irrespective of exercise modality.

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Bar-Tal, Smadar. "Teaching modes of teacher-educators teaching distance-learning in a teacher-training college in Israel : a case study." Thesis, Anglia Ruskin University, 2010. http://arro.anglia.ac.uk/123165/.

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The introduction of technology and the widespread use of ICT in the wealthier nations have led teacher-educators to integrate technological applications in their teaching environment. The research investigated the new teaching modes created by teacher-educators in teacher-training colleges in Israel, due to their transition from traditional teaching to distance-teaching through the Internet. This was a qualitative research using case study within an interpretative paradigm that enabled the researcher to consider the viewpoints of the informants together with her own viewpoint. The research tools included: 14 open interviews, a non-participatory observation, documentation reading and the writing of a personal log. The rich variety of research tools enabled triangulation of data. The conceptual framework of the research was based on theories of teacher-training, distance-teaching, academic disciplines, and several teaching dimensions: organisation and representation of data, organisation and management of teaching and different types of interaction. The research findings indicated intrinsic and extrinsic motives for the teacher-educators transition to distance-teaching. The transition created a pedagogy characterised by four teaching modes that corresponded to different academic disciplines. Each discipline harnessed the technology for intensive use in one or more of the teaching dimensions. The Representation mode used by teacher-educators in the natural sciences and statistics used a large variety of data representations and Internet writing characterised by multiple links. The Interactive mode employed by teacher-educators in the field of literacy principally dealt with formative assessment of the students' writing and used virtual communication tools to tighten the teacher-learner inter-personal interaction. The Organisational mode used in education disciplines focused on organisation and management of teaching and learning through the use of computer applications. The Holistic mode employed by teacher-educators in the fields of education and literature, in substance constituted a combination of all the characteristics of the above-mentioned modes with an emphasis given to social presence of both learners and the teacher. Analysis of the teaching modes led to the creation of a typology of four modes positioned at different points along the following scales: organisation of teaching, flexible – fixed, types of interaction few – multiple; data representation, creative – conservative; computer literate – computer users. There was a clear contrast between teacher-educators teaching education disciplines as a continuation of traditional frontal teaching and those who had previously taught in workshops. At the crossroads of pedagogy with technology, the changes in location, time and lesson character have meant that the implementation of the teaching paradigm of Zeichner and the teaching orientations of Feiman-Nemser have taken on fresh dimensions. The new teaching modes necessitate appropriate training for all teacher-educators working in distance-teaching in accordance with their academic disciplines. The research findings contribute to the reduction of a gap in knowledge concerning the new teaching modes of teacher-educators teaching distance-learning in a teacher-training college in Israel.

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Books on the topic "Modes of training"

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Barrett, Elizabeth K. The licensed teacher scheme: A Modes of Teacher Education project survey. University of London Institute of Education, 1993.

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Castro, Claudio de Moura. Five training models. Training Policies Branch, International Labour Office, 1990.

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Sundberg, Molly. Training for Model Citizenship. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-58422-9.

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Training, Model Systems, ed. Model systems training package. Model Systems Training, 1985.

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(Firm), Professional Software Solutions, ed. Microstation models: Training guide. ProSoft NET/Professional Software Solutions, 2005.

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Smith, Matthew L. Training model for contingency operations. U.S. Army Research Institute for the Behavioral and Social Sciences, 2002.

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Sheshunoff & Company. Model bank CSR training manual. Sheshunoff, 2004.

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Mann, Pete. Trainer training: The Manchester model. IDPM, 1989.

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Smith, Matthew L. Training model for contingency operations. U.S. Army Research Institute for the Behavioral and Social Sciences, 2002.

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Verdenik, Zdenko. Model igre slovenske nogometne reprezentance. Fakulteta za šport, 1999.

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Book chapters on the topic "Modes of training"

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Zhou, Chunqi. "Modes of civil servants training." In Chinese Communist Party School and its Suzhi Education. Routledge, 2023. http://dx.doi.org/10.4324/9781003322047-2.

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Leone, Paul. "Maximizing the Impact of Leadership Training through Different Delivery Modes." In Measuring and Maximizing Training Impact. Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137410481_11.

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Gros, Timo P., Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Maximilian A. Köhl, and Verena Wolf. "MoGym: Using Formal Models for Training and Verifying Decision-making Agents." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_21.

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AbstractMoGym, is an integrated toolbox enabling the training and verification of machine-learned decision-making agents based on formal models, for the purpose of sound use in the real world. Given a formal representation of a decision-making problem in the JANI format and a reach-avoid objective, MoGym (a) enables training a decision-making agent with respect to that objective directly on the model using reinforcement learning (RL) techniques, and (b) it supports rigorous assessment of the quality of the induced decision-making agent by means of deep statistical model checking (DSMC). MoGym implements the standard interface for training environments established by OpenAI Gym, thereby connecting to the vast body of existing work in the RL community. In return, it makes accessible the large set of existing JANI model checking benchmarks to machine learning research. It thereby contributes an efficient feedback mechanism for improving in particular reinforcement learning algorithms. The connective part is implemented on top of Momba. For the DSMC quality assurance of the learned decision-making agents, a variant of the statistical model checker modes of the Modest Toolset is leveraged, which has been extended by two new resolution strategies for non-determinism when encountered during statistical evaluation.

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Bonura, Susanna, Davide Dalle Carbonare, Roberto Díaz-Morales, et al. "Privacy-Preserving Technologies for Trusted Data Spaces." In Technologies and Applications for Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_6.

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AbstractThe quality of a machine learning model depends on the volume of data used during the training process. To prevent low accuracy models, one needs to generate more training data or add external data sources of the same kind. If the first option is not feasible, the second one requires the adoption of a federated learning approach, where different devices can collaboratively learn a shared prediction model. However, access to data can be hindered by privacy restrictions. Training machine learning algorithms using data collected from different data providers while mitigating privacy concerns is a challenging problem. In this chapter, we first introduce the general approach of federated machine learning and the H2020 MUSKETEER project, which aims to create a federated, privacy-preserving machine learning Industrial Data Platform. Then, we describe the Privacy Operations Modes designed in MUSKETEER as an answer for more privacy before looking at the platform and its operation using these different Privacy Operations Modes. We eventually present an efficiency assessment of the federated approach using the MUSKETEER platform. This chapter concludes with the description of a real use case of MUSKETEER in the manufacturing domain.

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George, Joey F., David P. Biros, Mark Adkins, Judee K. Burgoon, and Jay F. Nunamaker. "Testing Various Modes of Computer-Based Training for Deception Detection." In Intelligence and Security Informatics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25952-7_31.

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Nestler, Vincent, Erik L. Moore, Kai-Yi Clark Huang, and Devshikha Bose. "The Use of Second Life® to Teach Physical Security across Different Teaching Modes." In Information Assurance and Security Education and Training. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39377-8_21.

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Lemouchi, Rafik, Mohamed Assaf, Mohamed Al-Hussein, Khaoula Boutouhami, and Ahmed Bouferguene. "Safety Training for Rigging Using Virtual Reality." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.18.

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Tower and Mobile Cranes are some of the most commonly used heavy equipment in all construction sites, and any crane failures could lead to significant human and monetary losses. Moreover, rigging configuration determination is a critical task that requires the rigging crew to have significant experience and knowledge of various failure modes that can be encountered when performing lifting operations. However, despite the criticality of training riggers, there has yet to be a comprehensive tool used to train and guide inexperienced riggers, and hence, more practical tools are needed. This paper proposes a framework for using Virtual reality (VR) and simulation to train riggers to identify the optimal rigging configurations based on the lift type and the external conditions. Through 3D modeling, the critical components of the rigging system are modeled to accurately simulate the rigging system and their performance when faced with critical loading scenarios. The developed framework is expected to allow inexperienced riggers to identify critical failure modes and enhance construction operations' overall safety performance and productivity. Furthermore, several scenarios are assessed based on historical evidence for rigging configuration failures, and the efficiency of the training tool is assessed through real-life scenarios and tests

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Lemouchi, Rafik, Mohamed Assaf, Mohamed Al-Hussein, Khaoula Boutouhami, and Ahmed Bouferguene. "Safety Training for Rigging Using Virtual Reality." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.18.

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Tower and Mobile Cranes are some of the most commonly used heavy equipment in all construction sites, and any crane failures could lead to significant human and monetary losses. Moreover, rigging configuration determination is a critical task that requires the rigging crew to have significant experience and knowledge of various failure modes that can be encountered when performing lifting operations. However, despite the criticality of training riggers, there has yet to be a comprehensive tool used to train and guide inexperienced riggers, and hence, more practical tools are needed. This paper proposes a framework for using Virtual reality (VR) and simulation to train riggers to identify the optimal rigging configurations based on the lift type and the external conditions. Through 3D modeling, the critical components of the rigging system are modeled to accurately simulate the rigging system and their performance when faced with critical loading scenarios. The developed framework is expected to allow inexperienced riggers to identify critical failure modes and enhance construction operations' overall safety performance and productivity. Furthermore, several scenarios are assessed based on historical evidence for rigging configuration failures, and the efficiency of the training tool is assessed through real-life scenarios and tests

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van Dam, Sander, Lukas Wisell, Kartik Shingade, et al. "Safe Control Allocation of Articulated Heavy Vehicles Using Machine Learning." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_1.

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AbstractAs articulated heavy vehicles are over-actuated, achieving a safe control allocation is crucial to ensure stability. This study introduces a machine learning model developed to identify unsafe behaviours and modes, such as jack-knifing and trailer swing, enabling the control scheme to prioritize stability. High-fidelity simulations, focusing on high-risk scenarios, generate data for training the machine learning model. This model is integrated into the control scheme to predict safe braking allocations and prevent unsafe vehicle modes during real-time driving scenarios. Initial tests showed promising results regarding prediction accuracy and a safety margin that can be implemented to further ensure that safe vehicle motion is achieved.

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Gavish, Nirit, and Michal Shelef. "Evaluating Two Modes of Observational Learning in Cognitive-Spatial Task Training." In Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39360-0_25.

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Conference papers on the topic "Modes of training"

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Li, Yepeng, Shijie Jiang, Lei Zhang, and Mingjie Dong. "Effect of different robot-assisted muscle strength training modes on muscle activation of elbow joint^*." In 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2024. http://dx.doi.org/10.1109/rcar61438.2024.10671293.

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Xu, Weikai, Jin Luo, Boyi Fu, et al. "A Novel Ferroelectric FET based Multibit Content Addressable Memory with Dynamic and Static Modes for Energy-Efficient Training and Inference." In 2024 IEEE European Solid-State Electronics Research Conference (ESSERC). IEEE, 2024. http://dx.doi.org/10.1109/esserc62670.2024.10719466.

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Jiang, Zelin, Shuhao Zhang, Yue Li, Ka Lok Man, Yong Yue, and Jeremy Smith. "Is VR Always a Better Choice? Investigating the Effects of Game Modes and Role-Playing on Fire Escape Simulation Training." In 2024 10th International Conference on Virtual Reality (ICVR). IEEE, 2024. https://doi.org/10.1109/icvr62393.2024.10868014.

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SZONTAGH, Pál. "DEVELOPMENT OF SPECIALIZED CONTINUATION TRAININGS USING THE TOOLS OF MIXED TRAINING MODES." In 13th International Conference of J. Selye University. J. Selye University, Komárno, Slovakia, 2021. http://dx.doi.org/10.36007/4133.2022.161.

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Daendliker, Rene. "Concept of modes in optics and photonics." In Education and Training in Optics and Photonics (ETOP'99). SPIE, 2000. http://dx.doi.org/10.1117/12.388718.

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Heinz, Mario, Sebastian Büttner, and Carsten Röcker. "Exploring training modes for industrial augmented reality learning." In PETRA '19: The 12th PErvasive Technologies Related to Assistive Environments Conference. ACM, 2019. http://dx.doi.org/10.1145/3316782.3322753.

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Liu, Zhaohong, Chuanjiang Yang, and Shiping Liu. "Innovative Practices in Modes of College Teacher Training." In 2017 7th International Conference on Education and Management (ICEM 2017). Atlantis Press, 2018. http://dx.doi.org/10.2991/icem-17.2018.153.

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Jiao, LiangYu, and He Wang. "Comparison between Chinese and American Health Management Talent Training Modes." In 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/icemeet-16.2017.174.

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"The Reform of Online and Offline Blended Teaching Modes in College English Writing Teaching." In 2020 International Conference on Educational Training and Educational Phenomena. Scholar Publishing Group, 2020. http://dx.doi.org/10.38007/proceedings.0000918.

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Aliyeva, Imina. "Practical electronic guide for the study of Azery modes." In 2010 9th International Conference on Information Technology Based Higher Education and Training (ITHET). IEEE, 2010. http://dx.doi.org/10.1109/ithet.2010.5480039.

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Reports on the topic "Modes of training"

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Bhushan, Shanti, Greg Burgreen, Wesley Brewer, and Ian Dettwiller. Assessment of neural network augmented Reynolds averaged Navier Stokes turbulence model in extrapolation modes. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49702.

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A machine-learned model enhances the accuracy of turbulence transport equations of RANS solver and applied for periodic hill test case. The accuracy is investigated in extrapolation modes. A parametric study is also performed to understand the effect of network hyperparameters on training and model accuracy and to quantify the uncertainty in model accuracy due to the non-deterministic nature of the neural network training. For any network, less than optimal mini-batch size results in overfitting, and larger than optimal reduces accuracy. Data clustering is an efficient approach to prevent the machine-learned model from over training on more prevalent flow regimes, and results in a model with similar accuracy. Turbulence production is correlated with shear strain in the free-shear region, with shear strain and wall-distance and local velocity-based Reynolds number in the boundary layer regime, and with streamwise velocity gradient in the accelerating flow regime. The flow direction is key in identifying flow separation and reattachment regime. Machine-learned models perform poorly in extrapolation mode. A priori tests reveal model predictability improves as the hill dataset is partially added during training in a partial extrapolation model. These also provide better turbulent kinetic energy and shear stress predictions than RANS in a posteriori tests. Before a machine-learned model is applied for a posteriori tests, a priori tests should be performed.

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Gurieiev, Viktor, Yulii Kutsan, Anna Iatsyshyn, et al. Simulating Systems for Advanced Training and Professional Development of Energy Specialists in Power Sector. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4456.

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The crisis of the system of professional development and personnel training in the energy sector exists not only in Ukraine but also all over the world. The article describes the concept of development and functioning of the industry system of personnel training in the energy sector of Ukraine. The importance of using modern web-oriented technologies to improve the skills of operational and dispatching personnel in the energy sector of Ukraine is substantiated. The meth- ods of distributed power system operating modes modelling are presented. De- velopment and software tools for the construction of distributed simulating sys- tems and particular features of cloud technologies application for the creation of a virtual training centers network in the energy sector, as well as the ways to automate the process of simulating scenarios development are described. The ex- perience of introducing remote training courses for energy specialists and remote web-based training simulators based on a comprehensive model of the energy system of Ukraine is presented. An important practical aspect of the research is the application of software and data support for the development of personnel key competencies in the energy sector for rapid recognition of accidents and, if necessary, accident management. This will allow them to acquire knowledge and practical skills to solve the problems of analysis, modelling, forecasting, and monitoring data visualization of large power systems operating modes.

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Pigman, Geoffrey. Influencing Outcomes in a Changing Environment at the WTO: A Commonwealth Developing Country Perspective. Commonwealth Secretariat, 2021. https://doi.org/10.14217/comsec.331.

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The worsening of the coronavirus (COVID-19) pandemic in March 2020 triggered a sudden shift from in-person to virtual and hybrid forms of diplomatic communication and negotiation, including at the World Trade Organization (WTO). This paper identifies the challenges and opportunities that this shift presents to least developed countries (LDCs), small states and sub-Saharan African (SSA) countries in the Commonwealth. These include technical issues, negotiating design and format issues, and geopolitical questions. The paper draws on interviews with officials, diplomats, and other experts and stakeholders located in Geneva and in Commonwealth capitals. After identifying and analysing the major issues and problems raised by virtual and hybrid modes of diplomacy, the paper makes recommendations for improving the immediate practicalities of virtual and hybrid negotiating, the need to survey and prepare to adopt new technologies to facilitate online and hybrid negotiating, and how to upgrade training and capacity building for a future in which virtual and hybrid negotiating will play an ongoing part.

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Smith, Matthew L., William T. Holden, Starry Jr., and Harold M. Training Model for Contingency Operations. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408556.

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Dietrich, Anna Mracek. Unsettled Topics in the General Aviation Autonomy Landscape. SAE International, 2022. http://dx.doi.org/10.4271/epr2022004.

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The extent of automation and autonomy used in general aviation (GA) has been accelerating dramatically. This has huge potential benefits for safety given that 75% of accidents in personal and on-demand GA are due to pilot error. However, an approach to certifying autonomous systems that relies on reversionary modes limits their potential to improve safety. Placing a human pilot in a situation where they are suddenly tasked with flying an airplane in a failed situation, often without sufficient situational awareness, is overly demanding. This, coupled with advancing technology that may not align with a deterministic certification paradigm, creates an opportunity for new approaches to certifying autonomous and highly automated aircraft systems. Unsettled Topics in the General Aviation Autonomy Landscape discusses how these new approaches must account for the multifaceted aviation approach to risk management which has interlocking requirements for airworthiness and operations (including training and airspace integration). If implemented properly, autonomy can take GA safety to the next level while simultaneously increasing the number and variety of aircraft and transportation options they provide.

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Bano, Masooda. In Need of Fresh Thinking: What Pratham’s Experience of Mobilising Communities Says about Current Development Thinking about Community Participation in Education. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/100.

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For more than two decades, the international development community has advocated that establishing school-based management committees to involve communities to monitor and hold teachers, principals, and district government officials accountable would improve state schooling in developing countries; yet the evidence to sustain this claim to date remains questionable. Considering the case of Pratham, the largest education NGO in India, which is widely recognised as having developed a successful model to improve learning outcomes among children in state schools and is known for doing it through active community engagement, this paper questions whether the current development thinking on best modes of engaging communities to improve learning outcomes in state schools needs fresh thinking. The paper questions the validity of the two central assumptions underpinning the school-based management model: that better-informed communities will become involved in education activities with some mobilisation and training; and that engaged communities will be able to hold to account front-line state officials, starting with teachers and principals and moving on to the district government officials. Pratham’s experience shows that dissemination of information about benefits of education does not automatically result in community engagement; instead, people are motivated to become involved on the basis of individual-based incentives. Equally, it shows that for a community to influence the actions of front-line staff, it is important to develop a co-operative and supportive relationship, instead of focusing on accountability. Pratham’s experience thus shows that there is much scope for fresh thinking within the international development community on how to engage communities in developing countries in improving learning outcomes in state schools.

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Ford, J. K., and Douglas Sego. Linking Training Evaluation to Training Needs Assessment: A Conceptual Model. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228116.

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Guertin, Patrick J., and William D. Meyer. Sustainable Army Training Lands/Carrying Capacity: Training Use Distribution Model (TUDM). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405023.

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Rosenblat, Sruly, Tim O'Reilly, and Ilan Strauss. Beyond Public Access in LLM Pre-Training Data: Non-public book content in OpenAI’s Models. AI Disclosures Project, Social Science Research Council, 2025. https://doi.org/10.35650/aidp.4111.d.2025.

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Using a legally obtained dataset of 34 copyrighted O’Reilly Media books, we apply the DE-COP membership inference attack method to investigate whether OpenAI’s large language models were trained on copyrighted content without consent. Our AUROC scores show that GPT-4o, OpenAI’s more recent and capable model, demonstrates strong recognition of paywalled O’Reilly book content (AUROC = 82%), compared to OpenAI’s earlier model GPT-3.5 Turbo. In contrast, GPT-3.5 Turbo shows greater relative recognition of publicly accessible O’Reilly book samples. GPT-4o Mini, as a much smaller model, shows no knowledge of public or non-public O’Reilly Media content when tested (AUROC ≈ 0.5). Testing multiple models, with the same cutoff date, helps us account for potential language shifts over time that might bias our findings. These results highlight the urgent need for increased corporate transparency regarding pre-training data sources as a means to develop formal licensing frameworks for AI content training.

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Zenyuh, John P., Phillip C. Duncan, William B. Rouse, and Theodore A. Lamb. Job Aiding/Training Decision Process Model. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256947.

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