Employee training as a tool to achieve goals depending on SME’s type by Iveta Kmecova, Stefan Gavura

“…The aim is to determine how the sector and size of small and medium enterprises (SMEs) influence the corporate education of employees. Data were collected using a questionnaire distributed among 610 SMEs in the Czech Republic; valid answers were obtained from 581 enterprises. …”
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Strength Training Among Male Master Cyclists—Practices, Challenges, and Rationales by Vidar Vikestad, Terje Dalen

“…Analyses involved descriptive statistics, Wilcoxon signed-rank tests, Mann–Whitney U-tests, and chi-square tests, with qualitative data analyzed using content analysis. <b>Results:</b> More cyclists engaged in strength training during the off-/pre-season, with a significant reduction in both frequency and the number of cyclists engaging in strength training during the race season. …”
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On the subject of the effectiveness of the ATC and pilot joint simulation training (retraining) program by A. I. Stepnova, V. I. Kochergin, S. M. Stepanov, V. A. Borsoev

“…The article presents the statistical analysis of data based on the Student t-criterion and the law of random variables distribution, which will make it possible to draw a conclusion about the effectiveness of the proposed method for training specialists.…”
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A DQN-based approach for energy-efficient train driving control by Shuai SU, Qingyang ZHU, Qinglai WEI, Tao TANG, Jiateng YIN

“…The energy consumption in railway system is growing rapidly due to the expanding scale of the railway network and decreased operational headway.Hence, it is of great significant to apply the energy-efficient operation of the vehicles to cut down the energy cost of the railway system.A method for solving the energy-efficient train driving control based on deep Q-network (DQN) approach was proposed.Firstly, the traditional energy-efficient train driving control problem was presented and its inverse problem was formulated, i.e., distributing the least energy consumption units to achieve the scheduled trip time.Moreover, the problem was reformulated as a Markov decision process (MDP) and a DQN-based approach for energy-efficient train driving control was proposed.A DQN was built to approximate the action value function which determines the optimal energy distribution policy and further obtain the optimal driving strategy.Finally, a numerical experiment based on the real-world operational data was proposed to verify the effectiveness of the proposed method and analyze the performance of the proposed method.The driving data of the trains is applied to improve the driving strategy via the proposed method in the paper which reduces the traction energy consumption.It is of significance for the future development of Chinese intelligent urban railway system.…”
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Effectiveness of stress inoculation training on perceived stress in pregnant women with infertility by Monireh Hasan Zadeh LifShagard, Morteza Tarkhan, Mohammad Ehsan Taghi Zadeh

“…Methods: In a semi &ndash;experimental study, 65 pregnant women with a history of infertility referred to Mehr Infertility Institute were selected by convenience sampling methods in winter and spring( (2011-2012), kohen's (pss-14) perceived stress scale was used as data gathering scale. Data was analyzed using descriptive statistical tests (distribution and dispersion indices) and analytical test (independent t). …”
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Improving the quality of theoretical training of cadets with the help of information and communication technologies by V. V. Bulgakov

“…On the basis of the obtained test data, it is concluded that the introduction of the Fire Test program into the educational process has a statistically significant impact on the process of theoretical training and contributes to improving the level of theoretical training of cadets. …”
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Numerical simulation and parallel implementation of freight train air brake system. by Zongze Yu, Yuguang Wei, Chuxuan Hu

“…Numerical simulations of railway air brake systems are becoming increasingly computationally demanding due to the growing complexity and length of trains. This study introduces a parallel computing-enhanced model for simulating pressure dynamics in heavy-haul trains. …”
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Test-Time Training with Adaptive Memory for Traffic Accident Severity Prediction by Duo Peng, Weiqi Yan

“…These findings highlight the potential of our approach in enhancing real-time adaptability and robustness under shifting data distributions and class imbalances in intelligent transportation systems.…”
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Tram Whole-Train Braking Force Management Strategy Based on TCMS by XU Jie, YANG Chuan, MA Xuan

“…[Objective] Trams require high braking performance and reliability, but they cannot achieve unified distribution and management of the whole train′s braking force. …”
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Stabilizing training of affine coupling layers for high-dimensional variational inference by Daniel Andrade

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Personnel Training for Green Economy Development in Russian Regions, the Role of Biotechnologies by E. S. Titova, O. D. Nikonova, A. A. Shestakova, M. A. Borisyako

“…Through using the marked-out taxons twenty selected universities were examined and the information block was collected, which was used to build the data base of specific features of skilled personnel training for green economy. …”
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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

“…The research results help reduce subjective judgment errors in athletes' motion control training and improve training effectiveness and competition results.…”
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Knowledge distillation in federated learning: a comprehensive survey by Hassan Salman, Chamseddine Zaki, Nour Charara, Sonia Guehis, Jean-François Pradat-Peyre, Abbass Nasser

“…Abstract Federated Learning, often known as FL, is an approach that has recently emerged as a potentially helpful method for training machine learning models in a distributed manner without the requirement of central data storage. …”
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Improving primary healthcare quality in China through training needs analysis by Bin Liu, Qiang Xue, Xiangang Li, Jianwei Sun, Zhenyi Rao, Guangying Zou, Xin Li, Zhaoyuan Yin, Xianyu Zhang, Yahua Tian, Min Zhang

“…To understand the actual needs for professional skill training among primary healthcare workers, thereby providing data support for targeted training initiatives. …”
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An information theoretic limit to data amplification by S J Watts, L Crow

“…In recent years generative artificial intelligence has been used to create data to support scientific analysis. For example, generative adversarial networks (GANs) have been trained using Monte Carlo simulated input and then used to generate data for the same problem. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…Split Learning (SL) is an emerging decentralized paradigm that enables numerous participants, to train a deep neural network without disclosing sensitive information, such as patient data, in fields such as healthcare. …”
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Content-Based Image Retrieval Using Gamma Distribution and Mixture Model by Yaser Daanial Khan, M. Khalid Mahmood, Daud Ahmad, Nasser M. Al-Zidi

“…Furthermore, a mechanism is devised to retrieve matching images having comparable distribution patterns. Experiments show not only that the proposed technique yields a comparable precision to other competitive techniques but it also demonstrates that it is sufficiently efficient with high performance compared as compared to the others and requires unsupervised training.…”
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Use of GIS Technology for Distribution of City Forests and Green Open Spaces by Nur Zailani, Budi Sutomo

“…The methods used include collecting spatial and non-spatial data from related agencies, data processing using Quantum GIS (QGIS) software, and thematic analysis of green open space distribution. …”
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An Internal Overvoltage Identification Method for Distribution Network Based on Transfer Learning by Hao XU, Liqiang LIU, Chao LV

“…As a measure for internal overvoltage identification of distribution network, the data driving method is limited in practical applications due to the small number of overvoltage samples. …”
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Reducing pilot overhead with distributed neural networks in RIS-aided downlink channel estimation by Zaid Albataineh

“…Since single-user training data might have limited channel scenarios, we've also developed a distributed machine learning framework. …”
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