VIOLATION OF THE RIGHTS OF MINORS IN THE SOVIET PERIOD

VIOLATION OF THE RIGHTS OF MINORS IN THE SOVIET PERIOD

Purpose.The purpose of our research is to reveal the main forms of violation of the rights of minors in the Soviet period.Method.The methodology includes a comprehensive analysis and generalization of theoretical and source material and further formulation of relevant conclusions and recommendations.During the research, the principles of objectivit

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The Mediterranean Diet and the Increasing Demand of the Olive Oil Sector: Shifts and Environmental Consequences

Mediterranean countries play a crucial role as olive oil producers and consumers compared to other world regions.This work focusses on the development of the world production, trade and consumption where the Mediterranean region stands out from Rifle Pads the rest of the world, in particular, the Northern Mediterranean countries.Aspects such as how

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Active and Reactive Power Joint Balancing for Analyzing Short-Term Voltage Instability Caused by Induction Motor

Short-term voltage instability has a sensational effect once it occurs with massive loss of load, possibly area instability, and voltage collapse.This paper analyzes the short-term voltage instability caused by induction motor from the viewpoint of active and reactive power joint balancing.The analysis method is based on (1) the reactive power bala

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Density, viscosity, speed of sound, flash point, bulk modulus, and surface tension of mixtures of military jet fuel JP-5 and biodiesels dataset

In this work, the density, viscosity, speed of sound, flash point, and surface tension of mixtures of military jet fuel JP-5 and biodiesels were measured at various temperatures.The Dishwasher biodiesels were synthesized from various oils (avocado, canola, castor, coconut, corn grapeseed, linseed, neem, oil, palm, peanut, soybean, and walnuts), bac

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A wheat spike detection method based on Transformer

Wheat spike detection has important research significance for production estimation and crop field management.With the development of deep learning-based algorithms, researchers tend to solve the detection task by convolutional neural networks (CNNs).However, traditional CNNs equip with the inductive bias of locality and scale-invariance, which mak

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