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Judo is often referred to as an explosive sport, which requires great anaerobic strength and capacity, with a well-developed aerobic system. Attaining a high level of physical fitness, strength, and fatigue tolerance is essential for achieving success in competition. Fatigue leads to decreased muscle strength, prolonged reaction time, reduced agility, neuromuscular coordination, overall body speed, concentration, and agility. The intensity at which this phenomenon occurs is known as the lactate threshold. The primary objective of the planned research was to establish a link between maximal oxygen consumption (VO2max), lactate metabolism, and the situational efficiency of selected young judoists. The sample consisted of 30 cadet and junior judo athletes from the national teams of Serbia (average age of 16.43±0.76 years, body height of 176.94±5.15 cm, and body weight of 69.71±10.64 kg). The research employed precisely standardized protocols and modern equipment to determine anthropometric characteristics, and the values of maximal oxygen consumption, lactate thresholds, and the index of a specific judo fitness test among the selected young judo athletes. Based on the obtained results, there was a moderate negative correlation between VO2max and the index of the special judo fitness test, as well as a low correlation between the first lactate threshold (PLAP) and the second lactate threshold (DLAP) with the index of the special judo fitness test (ISJFT). Additionally, a moderate negative correlation was found between VO2max and anthropometric parameters, while PLAP and DLAP exhibited low correlations with anthropometric parameters. The research results quantitatively illustrate the physiological adaptation of the top young judo athletes to the physical demands encountered during years of specific training. The proposed battery of tests can be utilized to assess the functional status of competitors more accurately and determine the competition profile for elite judo athletes.

One of the type tests on power transformers is heat run test, which checks that the characteristic winding and oil temperatures are below allowed values. This is necessary to prevent accelerated ageing and shortening of the transformer life if the temperatures are higher than the allowed values. In addition to the user's clear interest, manufacturers are also interested in the results of heat run tests, as they can verify and improve the accuracy of calculation methods and software [1]. Then they can increase the accuracy and reduce the safety margins of calculation methods, so they can change transformer construction and achieve temperatures that are much closer to the allowed ones. As the result of that, they can reduce material and production costs. The minimal test is defined by the IEC standard [2]. Due to the great mass and consequent great thermal capacity of the transformer parts, heat run tests take a very long time. The paper presents an algorithm, and its software implementation, which reduce the occupancy of test station, energy consumption and the total cost of performing heat run tests.

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