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Journal articles on the topic 'Modes of training'

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Published: 5 June 2025

Last updated: 25 June 2025

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1

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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Yuan, Hao, Chang Bing Li, and Fang Zhang. "The Discussion of E-commerce Training Modes." Advanced Materials Research 271-273 (July 2011): 1729–32. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1729.

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According to our country electronic commerce specialty education present situation, this paper analyses the present e-commerce exist problems of talent training, and based on this, puts forward the design thought of e-commerce professional training direction, and then puts forward the corresponding curriculum suggestions.

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Kalayeh, Mahdi M., and Mubarak Shah. "Training Faster by Separating Modes of Variation in Batch-Normalized Models." IEEE Transactions on Pattern Analysis and Machine Intelligence 42, no. 6 (2020): 1483–500. http://dx.doi.org/10.1109/tpami.2019.2895781.

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Dudek, Grzegorz. "A Comprehensive Study of Random Forest for Short-Term Load Forecasting." Energies 15, no. 20 (2022): 7547. http://dx.doi.org/10.3390/en15207547.

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Random forest (RF) is one of the most popular machine learning (ML) models used for both classification and regression problems. As an ensemble model, it demonstrates high predictive accuracy and low variance, while being easy to learn and optimize. In this study, we use RF for short-term load forecasting (STLF), focusing on data representation and training modes. We consider seven methods of defining input patterns and three training modes: local, global and extended global. We also investigate key RF hyperparameters to learn about their optimal settings. The experimental part of the work demonstrates on four STLF problems that our model, in its optimal variant, can outperform both statistical and ML models, providing the most accurate forecasts.

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Li, Bo. "Research of Teacher Education Technology Capacity and Training Modes." Applied Mechanics and Materials 635-637 (September 2014): 2063–66. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.2063.

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This article first defines the meaning of educational technology and the ability of educational technology is divided into five levels, and the hierarchical structure of a rational argument; then to primary and secondary schools in the region for the sample of students and teachers conducted a survey to find out the ability of educational technology in the school and their teachers feedback on the training focuses on the training mode, this proposed training program for school teachers. Discussion on the training mode, the paper proposes a "complex method" training mode from the macro, in the form of centralized training and school-based training combined with training and noted that currently favored by teachers is still focused on face-linear form of training, but with the development of technological capabilities to improve teacher education and online education, the paper forecasts the network remote training will become a mainstream mode of training.

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Isaacs, L. D., and R. L. Pohlman. "SPECIFICITY OF STRENGTH TRAINING MODES IN PREPUBESCENT FEMALES." Medicine & Science in Sports & Exercise 27, Supplement (1995): S180. http://dx.doi.org/10.1249/00005768-199505001-01016.

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Mahler, Donald A., and Denis E. OʼDonnell. "Alternative Modes of Exercise Training for Pulmonary Patients." Journal of Cardiopulmonary Rehabilitation 11, no. 1 (1991): 58–63. http://dx.doi.org/10.1097/00008483-199101000-00009.

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Сулейманова, Р. Г., У. А. Магомедова, И. Г. Гадисова, Х. М. Бартыханова, and У. З. Керимгаджиева. "FUNCTIONAL STATES OF STUDENTS UNDER DIFFERENT TRAINING MODES." Vestnik of Russian New University. Series "Man in the modern world", no. 1 (March 29, 2024): 60–68. http://dx.doi.org/10.18137/rnu.v925x.24.01.p.060.

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Цель данного исследования заключается в исследовании воздействия различных образовательных режимов на физическое и психологическое благополучие студентов. Мы анализируем как традиционные, так и альтернативные методы обучения, такие как гибкий график, дистанционное образование, блок-схемы и интенсивные курсы. В качестве методов исследования применялся анализ серии опросов группы университета студентов в количестве 50 человек в возрасте от 19 до 21 года. Выборка включает представителей разных факультетов и специализаций, добровольно согласившихся принять участие в обследовании. Результаты подчеркивают важность выбора оптимального образовательного режима и его влияние на эффективность учебного процесса и функциональное состояние студентов. Выявлена роль физической активности, здорового питания, правильной организации дня, эффективного управления стрессом и осознанной само- регуляции как важных факторов, влияющих на функциональное состояние студентов. Эти рекомендации предоставляют студентам необходимые инструменты для поддержания оптимального состояния, независимо от выбранного образовательного режима. Выводы исследования имеют значение как для практического применения в образовательном процессе, так и для дополнительных исследований в области образовательной психологии и физиологии студентов. The purpose of the study is to investigate the impact of different educational modes on the physical and psychological well-being of university students. We analyze both traditional and alternative teaching methods such as flexible scheduling, distance education, flowcharts, and intensive courses. As research methods we applied an analysis of a series of surveys of the university’s student group. The sample included 50 students aged 19 to 21 years who were the representatives of different departments and specializations. The respondents voluntarily agreed to participate in the survey. The results emphas- ize the importance of choosing the optimal educational mode and its impact on the effectiveness of the educational process and the students’ functional state. We identified the role of physical activity, healthy diet, proper organization of the day, effective stress management and conscious self-regulation as important factors influencing the functional state of students. These recommendations provide students with the necessary tools to maintain optimal performance, regardless of their chosen educational mode. The findings of this study have implications for both practical applications in higher education and additional research in the field of educational psychology and student physiology.

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Leonov, D., D. V. Leichenko, L. A. Suslina, and D. V. Leonov. "Training Phantoms for Ultrasound Diagnostics." Virtual Technologies in Medicine, no. 3 (September 11, 2022): 252–54. http://dx.doi.org/10.46594/2687-0037_2022_3_1560.

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Our team has developed a number of phantoms suitable for advanced training of ultrasound diagnostic doctors, as well as testing their knowledge and skills. Phantoms are made of durable materials and can be considered analogues of foreign commercial models. The materials used allow modeling different levels of echogenicity, rigidity, and they can be given clinically realistic shapes. Our phantoms are applicable for practicing the skills of ultrasound diagnostics in gray scale and elastographic modes, for taking a biopsy sample, as well as for solving research problems.

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Slater, Joseph C., Chris L. Pettit, and Philip S. Beran. "In-Situ Residual Tracking in Reduced Order Modelling." Shock and Vibration 9, no. 3 (2002): 105–21. http://dx.doi.org/10.1155/2002/540189.

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Proper orthogonal decomposition (POD) based reduced-order modelling is demonstrated to be a weighted residual technique similar to Galerkin's method. Estimates of weighted residuals of neglected modes are used to determine relative importance of neglected modes to the model. The cumulative effects of neglected modes can be used to estimate error in the reduced order model. Thus, once the snapshots have been obtained under prescribed training conditions, the need to perform full-order simulations for comparison is eliminates. This has the potential to allow the analyst to initiate further training when the reduced modes are no longer sufficient to accurately represent the predominant phenomenon of interest. The response of a fluid moving at Mach 1.2 above a panel to a forced localized oscillation of the panel at and away from the training operating conditions is used to demonstrate the evaluation method.

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Li, Wei Qing, and Yong Wu. "A Simulation Training System of Multi-Effect Seawater Desalination." Applied Mechanics and Materials 260-261 (December 2012): 1092–97. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.1092.

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A simulation training system of multi-effect seawater desalination is helpful for research and training. A method of organizing the virtual space and models into a hierarchy tree was proposed, according to their topology relationship. The simulation model of seawater desalination plant was given, and the PID control system was designed. According to different kinds of operation modes, the meaning of gestures in different scene context was analyzed. A context-sensitive fast algorithm was proposed to accelerate the collision detection. A simulation training system of multi-effect seawater desalination is successfully realized and applied in worker’s training.

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Wong, Yiu-ming, Suk-tak Chan, Kwok-wing Tang, and Gabriel Y. F. Ng. "Two Modes of Weight Training Programs and Patellar Stabilization." Journal of Athletic Training 44, no. 3 (2009): 264–71. http://dx.doi.org/10.4085/1062-6050-44.3.264.

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Abstract Context: Underconditioned patellar stabilizing muscles could be a predisposing factor for patellar instability. Objective: To examine the effect of 2 modes of weight training on the size of the vastus medialis obliquus (VMO), the resting position and passive mobility of the patella, and the strength of the knee extensor muscles. Design: Prospective intervention, repeated measures in 3 groups. Setting: Orthopaedic and sports sciences research laboratory. Patients or Other Participants: 48 healthy adults free from back and lower extremity injuries. Intervention(s): Participants were randomly assigned to muscle hypertrophy training, muscle strength training, or the control group. Those in the training groups pursued training 3 times per week for 8 weeks. Main Outcome Measure(s): Magnetic resonance imaging and ultrasound cross-sectional area of the VMO, patellar tilt angle on magnetic resonance imaging, instrumented passive patellar mobility, and isometric knee extension torque of the dominant leg. Results: Participants in both training groups had comparable gains in VMO size, passive patellar stability, and knee extension force, all of which were greater than for the control group (P &lt; .05). Conclusions: Both short-term muscle hypertrophy and strength training programs can reinforce the patellar stabilizers in previously untrained volunteers.

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James, Hunter. "The Very Model of a Modern Teacher-training Program." WAESOL Educator 47, no. 1 (2022): 26–29. https://doi.org/10.5281/zenodo.7909716.

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Gonzaga University’s MA/TESOL program developed organically from within the university’s ESL pro- gram, guided by a philosophical model comprising three modes of authority: compassion, scholarship, and inven- tion (Jeannot, 1997). This article assesses the success of the model from the faculty and student perspectives.

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Arpentieva, Mariam, Peter Menshikov, and Svetlana Braitseva. "Didactic communication in the training of specialists in aerospace engineering." MATEC Web of Conferences 158 (2018): 01004. http://dx.doi.org/10.1051/matecconf/201815801004.

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The article is devoted to the study of the problems of didactic communication in the training of engineering personnel for the aerospace industry and to the study of the problems of the communication of subjects concerning the training and education of highly qualified engineering personnel for the aerospace industry. In the training of engineering personnel for the aerospace industry the integrated model of didactic communication involves the identification and description of its various components, typical modes of interaction (modes) that reflect different aspects of the person's understanding of the world around him and himself in the process of different types of education and upbringing. Didactic communication in the process of training engineering personnel for the aerospace industry is a multi-level, multi-stage and multi-component phenomenon. The modes, possibilities and limitations of this communication are related to the level and direction of personal, interpersonal and professional development of interaction subjects. The productivity of preparing engineering personnel for the aerospace industry is related to the choice of a model of didactic communication, which is addressed in different ways to the development of cognitive, value-semantic and meta-cognitive structures that form one or another type of education and upbringing.

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Yu, Hongfei, Hongbo Wang, Yaxin Du, Xinyu Hu, and Ziyu Liao. "Design and Isokinetic Training Control Method of Leg Press Training Device." Applied Sciences 9, no. 14 (2019): 2822. http://dx.doi.org/10.3390/app9142822.

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Lower-limb function in elderly people gradually degenerates with age, and poor rehabilitation conditions preventing the elderly from receiving scientific rehabilitation training result in the decline of social labor force and the increased economic burden of the elderly. Aiming at the characteristics of the single function and the complex structure of an existing telescopic leg trainer combined with the needs of the application group, a new type of leg-stretching training device with multiple training modes for lower extremity extension and flexion of the elderly is proposed. A new mechanical structure and electrical system is designed. At the same time, the anti-resistance training man–machine model is analyzed, aiming at the isokinetic resistance training mode, and a training controller strategy based on a fuzzy synovial algorithm is proposed. Finally, the feasibility of the designed controller strategy and the proposed leg training device are verified by prototype experiments, which will guide further research.

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Martin, Priya, Saravana Kumar, LuJuana Abernathy, and Matthew Browne. "Good, bad or indifferent: a longitudinal multi-methods study comparing four modes of training for healthcare professionals in one Australian state." BMJ Open 8, no. 8 (2018): e021264. http://dx.doi.org/10.1136/bmjopen-2017-021264.

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ObjectivesThe aim of the study was to compare the differences in learning outcomes for supervision training of healthcare professionals across four modes namely face-to-face, videoconference, online and blended modes. Furthermore, changes sustained at 3 months were examined.Design/methodsA multimethods quasi-experimental longitudinal design was used. Data were collected at three points—before training, immediately after training and at 3 months post-training. Quantitative and qualitative data were collected through anonymous surveys and reflective summaries, respectively.ResultsParticipants reported an increase in supervision knowledge and confidence immediately after training that was sustained at 3 months with all four modalities of training. Using analysis of variance, we found these changes were sustained at 3 months postcompletion (confidence p<0.01 and knowledge p<0.01). However, there was no statistically significant difference in outcomes between the four modes of training delivery (confidence, p=0.22 or knowledge, p=0.39). Reflective summary data highlighted the differences in terminology used by participant to describe their experiences across the different modes, the key role of the facilitator in training delivery and the merits and risks associated with online training.ConclusionsWhen designed and delivered carefully, training can achieve comparable outcomes across all four modes of delivery. Regardless of the mode of delivery, the facilitator in training delivery is critical in ensuring positive outcomes.

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O??HAGAN, FERGAL T., DIGBY G. SALE, J. DUNCAN MACDOUGALL, and SCOTT H. GARNER. "Comparative effectiveness of accommodating and weight resistance training modes." Medicine & Science in Sports & Exercise 27, no. 8 (1995): 1210???1219. http://dx.doi.org/10.1249/00005768-199508000-00016.

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GLASS, STEPHEN C., and ANGELA M. CHVALA. "Preferred Exertion Across Three Common Modes of Exercise Training." Journal of Strength and Conditioning Research 15, no. 4 (2001): 474–79. http://dx.doi.org/10.1519/00124278-200111000-00012.

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GLASS, STEPHEN C., and ANGELA M. CHVALA. "Preferred Exertion Across Three Common Modes of Exercise Training." Journal of Strength and Conditioning Research 15, no. 4 (2001): 474. http://dx.doi.org/10.1519/1533-4287(2001)015<0474:peatcm>2.0.co;2.

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Manouvrier, Christophe, Johan Cassirame, and Said Ahmaidi. "Sensitivity of the Footeval Test to Different Training Modes." Journal of Strength and Conditioning Research 34, no. 5 (2020): 1440–47. http://dx.doi.org/10.1519/jsc.0000000000002334.

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Dudley, G. A., and R. Djamil. "INCOMPATIBILITY OF ENDURANCE AND STRENGHT TRAINING MODES OF EXERCISE." Medicine & Science in Sports & Exercise 17, no. 2 (1985): 184. http://dx.doi.org/10.1249/00005768-198504000-00018.

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Dudley, G. A., and R. Djamil. "Incompatibility of endurance- and strength-training modes of exercise." Journal of Applied Physiology 59, no. 5 (1985): 1446–51. http://dx.doi.org/10.1152/jappl.1985.59.5.1446.

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Twenty-two male and female subjects trained for 7 wk for endurance (group E), for strength (group IS), or for both strength and endurance (group C) to evaluate the effect of concurrent performance of both modes of training on the in vivo force-velocity relationship of human muscle and on aerobic power. Endurance training consisted of five 5-min sessions three times a week on cycle ergometer with a work load that approached the subject's peak cycle-ergometer O2 uptake (peak CE VO2). Strength training consisted of two 30-s sets of maximal knee extensions per day performed on an isokinetic dynamometer three times a week at a velocity of 4.19 rad X s-1. Group C performed the same training as groups IS and E, alternating days of strength and endurance training. Subjects (groups C and IS) were tested pre- and posttraining for maximal knee-extension torque at a specific joint angle (0.52 rad below horizontal) for seven specific angular velocities (0, 0.84, 1.68, 2.81, 3.35, 4.19, and 5.03 rad X s-1). Groups C and E were tested for peak CE VO2 pretraining, at 14-day intervals, and posttraining. Group IS showed significant increases in angle-specific maximal torque at velocities up to and including the training speed (4.19 rad X s-1). Group C showed increases (P less than 0.05) at velocities of 0, 0.84, and 1.68 rad X s-1 only. Peak CE VO2, when expressed in relative or absolute terms, increased (P less than 0.05) approximately 18% for both groups E and C.

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Yu, Guishen. "Comparative analysis of biomechanical characteristics of knee flexion and extension muscles in volleyball physical training." Molecular & Cellular Biomechanics 21, no. 4 (2024): 437. https://doi.org/10.62617/mcb437.

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This study aimed to analyze the biomechanical characteristics of knee flexion and extension muscles in volleyball physical training from the cellular and molecular biomechanics aspect. Multiple training modes like strength, elasticity, and comprehensive training were chosen to systematically evaluate relevant characteristics of these muscles among volleyball players. Advanced devices such as 3D motion capture systems, ground reaction force platforms, and electromyography equipment were used to gather precise biomechanical data. At the cellular and molecular level, different trainings impact muscle cells differently. For example, strength training might enhance the synthesis of contractile proteins within cells, while elasticity training could influence the elasticity-related molecular structures. With multidimensional data analysis, the effects of various training modes were compared. The comprehensive training group had a kinematic flexion extension angle of 528.27º ± 11.49º, an angular velocity of 135.52º ± 5.97º, and an angular acceleration of 3177.02º ± 116.88º, performing best. This could be due to its comprehensive influence on cellular and molecular processes in muscles, promoting better coordination and force generation. This article offers a theoretical basis for volleyball players to create scientific training plans and gives practical tips for coaches and athletes to optimize programs and prevent injuries. By focusing on cellular and molecular biomechanics, it fills research gaps and helps boost the development of biomechanics in volleyball physical training.

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Myslovych, M. V. "MODELS OF FORMS OF REPRESENTATION OF LEARNING SETS FOR MULTILEVEL SYSTEMS OF DIAGNOSIS OF ELECTRICAL EQUIPMENT ASSEMBLIES." Tekhnichna Elektrodynamika 2021, no. 3 (2021): 65–73. http://dx.doi.org/10.15407/techned2021.03.065.

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The results of consideration of advanced mathematical models of vibration diagnostic signals are given, which take into account both the properties of diagnostic objects and the modes (speed, electric temperature, etc.) in which the object under study operates. Models of representation of training sets corresponding to certain technical states of EO units and which can work in different modes are considered. The method of representation of training sets in the form of a matrix which elements represent scattering ellipses corresponding both to certain kinds of defects of separate knots of EO, and modes of its work is offered. The structure of construction of training sets on a flat (2D) and volume (3D) matrix is substantiated, the elements of which contain sets corresponding to separate units of EA, and their combination forms a separate electrotechnical unit. References 18, figures 5.

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Liu, Yutong, Xitang Zhao, and Haiyan Wu. "The Impact of Velocity-Based Strength Training on Lower Extremity Explosiveness in Butterfly Swimmers." Advances in Education, Humanities and Social Science Research 9, no. 1 (2024): 92. http://dx.doi.org/10.56028/aehssr.9.1.92.2024.

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This study aims to compare Velocity-Based Strength Training (VBT) and Traditional Physical-based Training (PBT), analyze the differences in lower extremity explosiveness between the two training modes, explore the effects of the two training modes on butterfly swimmers' performance, and provide practical recommendations based on data comparison.

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Pichardo, Andrew W., Jon L. Oliver, Craig B. Harrison, Peter S. Maulder, and Rhodri S. Lloyd. "Integrating models of long-term athletic development to maximize the physical development of youth." International Journal of Sports Science & Coaching 13, no. 6 (2018): 1189–99. http://dx.doi.org/10.1177/1747954118785503.

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Long-term athletic development is important to prepare youth for sport and an active lifestyle. Several models have provided general frameworks for long-term athletic development from different perspectives that consider factors such as when to sample and specialize and what physical qualities to train and when. More recently, more specific models of long-term athletic development have emerged that focus on both specific modes of training and specific fitness qualities. This includes models focused on the development of speed, agility, power, and endurance as well as models devoted to resistance training, plyometric training, and weightlifting. These models incorporate factors such as technical competency, developmental stage, maturation, and training age to describe the long-term progression of athletic development. A challenge for the coach is to understand how these models inform one another and how they integrate into practice to allow the use of multiple modes of training to develop multiple components of fitness simultaneously throughout childhood and adolescence. This review will examine how information from various models can be integrated to maximize the physical long-term athletic development of youth.

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Ksoll, Korbinian Sebastian Hermann, Alexander Mühlberger, and Fabian Stöcker. "Central and Peripheral Oxygen Distribution in Two Different Modes of Interval Training." Metabolites 11, no. 11 (2021): 790. http://dx.doi.org/10.3390/metabo11110790.

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In high-intensity interval training the interval duration can be adjusted to optimize training results in oxygen uptake, cardiac output, and local oxygen supply. This study aimed to compare these variables in two interval trainings (long intervals HIIT3m: 3 min work, 3 min active rest vs. short intervals HIIT30s: 30 s work, 30 s active rest) at the same overall work rate and training duration. 24 participants accomplished both protocols, (work: 80% power output at VO2peak, relief: 85% power output at gas exchange threshold) in randomized order. Spirometry, impedance cardiography, and near-infrared spectroscopy were used to analyze the physiological stress of the cardiopulmonary system and muscle tissue. Although times above gas exchange threshold were shorter in HIIT3m (HIIT3m 1669.9 ± 310.9 s vs. HIIT30s 1769.5 ± 189.0 s, p = 0.034), both protocols evoked similar average fractional utilization of VO2peak (HIIT3m 65.23 ± 4.68% VO2peak vs. HIIT30s 64.39 ± 6.78% VO2peak, p = 0.261). However, HIIT3m resulted in higher cardiovascular responses during the loaded phases (VO2p < 0.001, cardiac output p < 0.001). Local hemodynamics were not different between both protocols. Average physiological responses were not different in both protocols owning to incomplete rests in HIIT30s and large response amplitudes in HIIT3m. Despite lower acute cardiovascular stress in HIIT30s, short submaximal intervals may also trigger microvascular and metabolic adaptions similar to HIIT3m. Therefore, the adaption of interval duration is an important tool to adjust the goals of interval training to the needs of the athlete or patient.

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Khudolii, O. M. "Research Program: Modeling of Young Gymnasts’ Training Process." Teorìâ ta Metodika Fìzičnogo Vihovannâ 19, no. 4 (2019): 168–78. http://dx.doi.org/10.17309/tmfv.2019.4.02.

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The study purpose was to substantiate theoretical and methodological grounds and the concept of a research program of the training process based on modeling of individual components of the young gymnasts’ training system.  Materials and methods. The study involved: 30 gymnasts – 3rd senior category, 30 gymnasts – 2nd senior category, 26 gymnasts – 1st senior category. Young gymnasts participating in the experiment received athletic titles from the 1st category to master of sports (1st c. – 18 persons, CMS – 15 persons, MS – 12), won competitions of different levels. To substantiate the research program, the study used the following methods: modeling, systems approach, methods of theoretical analysis and generalization to reveal the essence, leading development trends of the young gymnasts’ training system and to define theoretical prerequisites and methodological approaches to its further improvement; pedagogical testing, methods of recording sensorimotor reactions, methods of recording the cardiovascular system state, observation and pedagogical experiment to determine young gymnasts’ model characteristics, modes of training loads; methods of mathematical analysis (logistic and asymptotic functions) to determine the regularities of allocating the means of primary focus during motor abilities development, teaching gymnastic exercises and training for competitions; mathematical methods of planning multifactorial experiments to study the regularities of motor abilities development, teaching process and training for competitions. The obtained experimental material was processed using statistical analysis software (SPSS 20). Results. The developed conceptual approaches to determining the normative characteristics of training loads in the process of young gymnasts’ training include: analysis of the effects of different modes of training on a change in the functional state; determination of the optimal increase in the functional state indicators; calculation of a mode of training that can ensure the optimal increase in the indicators of young gymnasts’ functional state. Conclusions. The developed research program makes it possible to define the regularities of motor abilities development, teaching gymnastic exercises and training for competitions; to obtain the models of young gymnasts’ training process. As a result of implementing the research program, the study substantiated factorial designs for studying the influence of modes of alternation of exercises and rest on the effectiveness of motor abilities development, motor skills formation, and the effectiveness of training young gymnasts for competitions.

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Murphy, Andrew, Katherine Burgess, Andy J. Hall, Rodrigo R. Aspe, and Paul A. Swinton. "The Effects of Strength and Conditioning Interventions on Sprinting Performance in Team Sport Athletes: A Systematic Review and Meta-Analysis." Journal of Strength and Conditioning Research 37, no. 8 (2023): 1692–702. http://dx.doi.org/10.1519/jsc.0000000000004440.

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Abstract Murphy, A, Burgess, K, Hall, AJ, Aspe, RR, and Swinton, PA. The effects of strength and conditioning interventions on sprinting performance in team sport athletes: a systematic review and meta-analysis. J Strength Cond Res 37(8): 1692–1702, 2023—Linear sprinting is a key determinant of athletic performance within team sports. The aims of the review were to quantify and compare the effectiveness of popular strength and conditioning (S&C) training modes to improve sprint performance in team sport athletes, with additional focus on potential moderators and the relationships between improvements in physical factors (e.g., strength, power, and jump performance) and improvements in sprint performance. Inclusion was restricted to resistance, plyometric, sprint, and combined training interventions comprising team sport athletes. Multilevel, Bayesian’s meta-analysis and meta-regression models conducted with standardized mean difference effect sizes were used to investigate training modes and potential moderators. Weighted regression models conducted on shrunken estimates from initial Bayesian’s meta-analyses were used to quantify relationships between improvements in physical factors and sprint performance. Certainty of evidence was assessed using the grading of recommendations assessment development and evaluation (GRADE) approach. Similar improvements in sprint performance were obtained across training modes, with some evidence of the largest effects with resistance training ( = 0.55 [95% credible interval [CrI]: 0.36–0.78; very low certainty]). A strong moderating effect of training intensity was identified across all training modes with evidence of greater improvements in sprint performance with high-intensity training ( = 0.17 [95% CrI: 0.01–0.33; very low certainty]). Strong positive relationships were identified between improvements in all physical factors and sprint performance ( = 0.56 [95% CrI: 0.36–0.77; low certainty], = 0.80 [95% CrI: 0.50–1.0; low certainty], = 0.78 [95% CrI: 0.57–0.97; low certainty]). The findings indicate that focus on developing speed in team sport athletes should be placed on S&C training with high intensities, including the use of resisted sprint training.

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Moravec, Lisa. "Training Humans Not Machines." TDR: The Drama Review 68, no. 1 (2024): 51–69. http://dx.doi.org/10.1017/s1054204323000515.

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In the 21st century, the performance culture of critique has transformed with the increasing implementation of AI technologies upon which the operative functions of data capitalism are built. Operating within the performance-based culture industry, the works of Trevor Paglen, Gerald Nestler/Sylvia Eckermann, and Vladan Joler respond critically to data capitalism’s modes of data extraction and how the societal performances of capitalism condition people’s physical and digital performances.

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Van Tan, LE, та PHAM Quang Trinh. "CHUYỂN ĐỔI SỐ TRONG QUẢN LÝ HOẠT ĐỘNG ĐÀO TẠO Ở TRƯỜNG ĐẠI HỌC". Vinh University Journal of Science 52, № 4C (2023): 5–17. http://dx.doi.org/10.56824/vujs.2023b074.

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Digital transformation in the management of training activities is an indispensable and mandatory requirement when universities undertake digital transformation. The digital transformation in training activities brings about changes in the modes of conducting educational procedures which also necessitate corresponding changes in management. This article presents the research findings on the digital transformation in the management of training activities at universities in the current context.

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Varon, Arthur, Jérome Mars, and Julien Bonnel. "A modular neural network to quickly approximate the modal dispersion in coastal waters." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A126. http://dx.doi.org/10.1121/10.0027036.

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Low-frequency acoustic propagation modeling in coastal waters usually relies on numerical models based on modal theory such as Kraken and Orca. These models compute the modal parameters (e.g., modal wavenumbers and depth functions) that can be used in the calculation of the acoustic field. Their repeated use in broadband applications, or for inversion purposes, comes with a notable computational cost. To mitigate this, a modular neural network (NN) was trained to approximate modal parameters for varying modes and frequencies, across diverse environments, with variable water sound speed profile and variable seabed geoacoustic parameters. The training dataset is generated using Kraken and the NN is evaluated on many environments not seen during training. Once trained, the NN can make broadband predictions without prior knowledge on the number of modes, even when the number of modes changes over the frequency-band of interest. This approach reduces computation time compared to the original forward propagation model, while maintaining high precision. The effectiveness of our method is demonstrated through transmission loss calculations and a simulated geoacoustic inversion scenario.

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Jiao, Yong Kang, and Xiao Min Li. "Study on the Application of Virtual Prototyping Technology to UAV Fault Diagnosis Training." Applied Mechanics and Materials 347-350 (August 2013): 396–400. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.396.

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In accordance with the characteristic that UAV equipment is hard to realize the real fault diagnosis training, a design scheme of fault diagnosis training based on virtual prototyping is presented. The training-oriented virtual prototyping model is decomposed into two parts, appearance model and mechanism model. The design thinking and training flow of fault diagnosis training are given, and two different kinds of training modes are used to make the training much more targeted. In the end, Virtools and third-party modeling software are adopted to build the virtual environment, the verification of UAV ground control station achieves the purpose of enhancing the performance capability of maintenance man.

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Omariba, Boniface, John Simiyu, and Herbert Dimo. "Influence of the Mode of Training on the Level of Satisfaction of Marine Engineering TVET Graduates from the Coastal Region of Kenya." Journal of Technology & Socio-Economic Development 12, no. 1 (2023): 1–14. https://doi.org/10.5281/zenodo.8371063.

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The Government of Kenya has instituted rapid and far reaching reforms in the TVET sector since 2010. Recently; expansion of the marine sector has created a demand for increased manpower in the field of marine engineering. The government of Kenya has put up institutions to offer this line of training. In terms of exposure to workplace-based learning, there are three competing modes of technical training in Kenya-the apprenticeship, modular and regular programs. This study assessed how each of the three modes of training influences the level of satisfaction of graduates of marine engineering programs from TVET institutions in the coastal region of Kenya. The study was anchored on the theory of intuition. Research design adopted the process of descriptive survey with a quantitative approach. The study area was the coastal region of Kenya. The target population was 425 marine engineering students who have spent 6 months since course completion. The study sampled out 243 graduates. The research instrument was a questionnaire. Respondents were categorized by gender and the three modes of training; modular; apprentice and regular programs. Analysis was conducted using a chi-square homogeneity model at 5 percent level of significance and 2 degrees of freedom and was run on SPSS. The hypothesis that all modes of training had an influence on the level of satisfaction of TVET students was proven. The major finding was that students were satisfied with the various modes of training as currently formatted and implemented. There is no need for the government to take extraordinary measures to restructure the programs. However, graduates universally complained of the insufficient manner in which information was provided on jobs, careers and general counseling and guidance. Further research should be done to establish how best colleges could improve information services on prospective careers. Future research should include larger samples.

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Weaving, Dan, Phil Marshall, Keith Earle, Alan Nevill, and Grant Abt. "Combining Internal- and External-Training-Load Measures in Professional Rugby League." International Journal of Sports Physiology and Performance 9, no. 6 (2014): 905–12. http://dx.doi.org/10.1123/ijspp.2013-0444.

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Purpose:This study investigated the effect of training mode on the relationships between measures of training load in professional rugby league players.Methods:Five measures of training load (internal: individualized training impulse, session rating of perceived exertion; external—body load, high-speed distance, total impacts) were collected from 17 professional male rugby league players over the course of two 12-wk preseason periods. Training was categorized by mode (small-sided games, conditioning, skills, speed, strongman, and wrestle) and subsequently subjected to a principal-component analysis. Extraction criteria were set at an eigenvalue of greater than 1. Modes that extracted more than 1 principal component were subjected to a varimax rotation.Results:Small-sided games and conditioning extracted 1 principal component, explaining 68% and 52% of the variance, respectively. Skills, wrestle, strongman, and speed extracted 2 principal components each explaining 68%, 71%, 72%, and 67% of the variance, respectively.Conclusions:In certain training modes the inclusion of both internal and external training-load measures explained a greater proportion of the variance than any 1 individual measure. This would suggest that in training modes where 2 principal components were identified, the use of only a single internal or external training-load measure could potentially lead to an underestimation of the training dose. Consequently, a combination of internal- and external-load measures is required during certain training modes.

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Devarakonda, Srichand. "Calculating the Economic Viability of Corporate Trainings (Traditional & eLearning) using Benefit-Cost Ratio (BCR) and Return On Investment (ROI)." International Journal of Advanced Corporate Learning (iJAC) 12, no. 1 (2019): 41. http://dx.doi.org/10.3991/ijac.v12i1.9735.

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<p>The intent of this paper is fourfold: (a) to document chronologically the history of corporate training; (b) to discuss the importance of corporate training highlighting the reasons why eLearning is gaining traction; (c) to report the results of a research study conducted with 85 sales employees in a U.S.-based organization; and (d) to calculate the return on investment (ROI) for the training costs incurred by the company and validate if the training was economically viable. Forty-two employees received the Traditional mode of training and the remaining 43 received the eLearning mode. The researcher made several comparisons. First, pre-training test scores were compared to post-training test scores to determine differences between training modes (Traditional or eLearning). Second, post-training test scores of Traditional vs. eLearning mode were compared to determine differences between the modes of training. Third, pre-training sales numbers were compared to post-training sales numbers to determine differences between training modes (Traditional or eLearning). Finally, post-training sales numbers of Traditional vs. eLearning mode were compared to determine differences between training modes. Previous researchers have compared pre- and posttest scores. Some have documented the cost-benefit analysis of training programs and described the ROI percentage achieved from training. However, previous researchers have not detailed the exact dollar value of the benefits achieved from training programs, discussed actual sales numbers, or discussed actual revenue data to show how these were used for tangible ROI in dollar value. To the author’s knowledge, this will be the first peer-reviewed study to document, describe, and calculate the aforementioned details.</p>

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Vladov, Serhii, Arkadiusz Banasik, Anatoliy Sachenko, et al. "Intelligent Method of Identifying the Nonlinear Dynamic Model for Helicopter Turboshaft Engines." Sensors 24, no. 19 (2024): 6488. http://dx.doi.org/10.3390/s24196488.

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This research focused on the helicopter turboshaft engine dynamic model, identifying task solving in unsteady and transient modes (engine starting and acceleration) based on sensor data. It is known that about 85% of helicopter turboshaft engines operate in steady-state modes, while only around 15% operate in unsteady and transient modes. Therefore, developing dynamic multi-mode models that account for engine behavior during these modes is a critical scientific and practical task. The dynamic model for starting and acceleration modes has been further developed using on-board parameters recorded by sensors (gas-generator rotor r.p.m., free turbine rotor speed, gas temperature in front of the compressor turbine, fuel consumption) to achieve a 99.88% accuracy in identifying the dynamics of these parameters. An improved Elman recurrent neural network with dynamic stack memory was introduced, enhancing the robustness and increasing the performance by 2.7 times compared to traditional Elman networks. A theorem was proposed and proven, demonstrating that the total execution time for N Push and Pop operations in the dynamic stack memory does not exceed a certain value O(N). The training algorithm for the Elman network was improved using time delay considerations and Butterworth filter preprocessing, reducing the loss function from 2.5 to 0.12% over 120 epochs. The gradient diagram showed a decrease over time, indicating the model’s approach to the minimum loss function, with optimal settings ensuring the stable training.

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Xiang, Wei, Sun Chunsheng, and Dong Yanhong. "Design and Implementation of Training Management Software for General Simulation Training System." MATEC Web of Conferences 176 (2018): 01015. http://dx.doi.org/10.1051/matecconf/201817601015.

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The common simulation training system realizes the common design of hardware and software, and also increases the difficulty of group training management. In order to solve the problem of flexible group training of multiple training modes for general simulation training system of a certain type of naval combat system, this paper puts forward a formal description method of group training resources and group training programs based on an in-depth analysis of training management requirements. Design and implementation of a general simulation training system training management software.

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Adams, Gregory R., Daniel C. Cheng, Fadia Haddad, and Kenneth M. Baldwin. "Skeletal muscle hypertrophy in response to isometric, lengthening, and shortening training bouts of equivalent duration." Journal of Applied Physiology 96, no. 5 (2004): 1613–18. http://dx.doi.org/10.1152/japplphysiol.01162.2003.

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Movements generated by muscle contraction generally include periods of muscle shortening and lengthening as well as force development in the absence of external length changes (isometric). However, in the specific case of resistance exercise training, exercises are often intentionally designed to emphasize one of these modes. The purpose of the present study was to objectively evaluate the relative effectiveness of each training mode for inducing compensatory hypertrophy. With the use of a rat model with electrically stimulated (sciatic nerve) contractions, groups of rats completed 10 training sessions in 20 days. Within each training session, the duration of the stimulation was equal across the three modes. Although this protocol provided equivalent durations of duty cycle, the torque integral for the individual contractions varied markedly with training mode such that lengthening > isometric > shortening. The results indicate that the hypertrophy response did not track the torque integral with mass increases of isometric by 14%, shortening by 12%, and lengthening by 11%. All three modes of training resulted in similar increases in total muscle DNA and RNA. Isometric and shortening but not lengthening mode training resulted in increased muscle insulin-like growth factor I mRNA levels. These results indicate that relatively pure movement mode exercises result in similar levels of compensatory hypertrophy that do not necessarily track with the total amount of force generated during each contraction.

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Liu, Weiqing, Yun Zhu, and Zhiyong Liu. "Discussion on the Training Mode of Postgraduates Majoring in Electronic Information under the Background of Breaking the “Five Only”." International Education Forum 2, no. 6 (2024): 15–22. http://dx.doi.org/10.26689/ief.v2i6.7679.

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As China’s educational reforms deepen, the policy to break the “Five Only” evaluation mechanism has emerged, aimed at overcoming the over-reliance on single evaluation indicators such as publications, projects, and awards. This study focuses on the training modes for postgraduate students in electronic information disciplines. By comparing and analyzing existing training modes both domestically and internationally, it proposes pathways to optimize the training modes for postgraduate students majoring in electronic information under the context of breaking the “Five Only” policy. The results indicate that diversified training objectives, innovative course settings, and teaching methods, enhanced scientific research training and practical components, a diversified and scientific evaluation system, and the construction and development of the teaching staff are effective ways to improve the quality of training for postgraduate students majoring in electronic information fields.

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O’Shea, Finn H., Semin Joung, David R. Smith, and Ryan Coffee. "Automatic identification of edge localized modes in the DIII-D tokamak." APL Machine Learning 1, no. 2 (2023): 026102. http://dx.doi.org/10.1063/5.0134001.

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Fusion power production in tokamaks uses discharge configurations that risk producing strong type I edge localized modes. The largest of these modes will likely increase impurities in the plasma and potentially damage plasma facing components, such as the protective heat and particle divertor. Machine learning-based prediction and control may provide for the automatic detection and mitigation of these damaging modes before they grow too large to suppress. To that end, large labeled datasets are required for the supervised training of machine learning models. We present an algorithm that achieves 97.7% precision when automatically labeling edge localized modes in the large DIII-D tokamak discharge database. The algorithm has no user controlled parameters and is largely robust to tokamak and plasma configuration changes. This automatically labeled database of events can subsequently feed future training of machine learning models aimed at autonomous edge localized mode control and suppression.

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