This article discusses the characteristics of the design of thermoelectric generators (TEGs) for cold climates. Since the thermocouples of thermoelectric batteries are produced from different materials, their major properties are studied. Particular attention is given to nanostructured materials regarding the modern class of thermoelectric materials. Two-, three-, and four-component alloys (metallic glasses) of the Fe-Ni(Cu)-P-B system are chosen based on the experience of thermoelectric thermometry. The close chemical composition of two thermoelectrodes enables their compatibility in thermocouple production and satisfactory thermoelectric efficiency of batteries during long-term operation. The improvement of the thermoelectric battery characteristics related to a unit of mass is evaluated. The materials studied are distinguished by the absence of toxic components harmful to the environment at the manufacturing and operating stages.

Pain is an interdisciplinary problem at the border of medicine, psychology, sociology and economics. Pain syndrome reduces the quality of life of patients, affects work productivity, social adaptation, and in most cases is poorly amenable to treatment. Therefore, a multidisciplinary approach to the diagnosis and treatment of pain syndrome is important, which should take into account the peculiarities of the patient’s perception of pain, the patient’s psycho-emotional state, individual life experience and previous experience of feeling pain, which will make it possible to improve the effectiveness of treatment, reduce the number of used painkillers and, accordingly, improve patient’s quality of life. Based on the analysis of modern literary sources, the article presents an expanded concept of pain, pathogenetic and biochemical mechanisms of its occurrence, approaches to treatment. 

Analyzed three swarm intelligence algorithms, namely Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), Particle Swarm Optimization (PSO) and the adaptability of these algorithms to a dynamic environment. Firstly, the ACO algorithm was analyzed, the behavior of ants in nature, the purpose of the algorithm, and its shortcomings in a dynamic environment. Then the existing modifications of this algorithm to changing environments were investigated, namely AСO with dynamic pheromone updating (AACO), ACO with adaptive memory (ACO-AP), ACO with multi-agent system (MAS-ACO), ACO with machine learning algorithms (MLACO). The advantages and disadvantages of these modifications are also discussed in detail. The software tools that implement the functionality of this algorithm, such as AntTweakBar, AntOpt, EasyAnt have been mentioned. These software tools provide an opportunity to develop new modifications of the ACO algorithms and to study existing ones. Furthermore, the capabilities of the BCO algorithm were clarified and the behavior and parameters of this algorithm were described, its pros and cons in a dynamic environment were investigated. The following BCO modifications were considered: Group Bee Algorithm (GBA), Artificial Bee Colony (ABC), and open source software: PySwarms, PyABC. The third part of the article investigates the work of the PSO algorithm, its advantages and disadvantages of adaptation to dynamic environments. Dynamic Particle Swarm Optimization with Permutation (DPSO-P), Dynamic Multi-swarm Particle Swarm Optimization Based on Elite Learning (DMS-P50-EL) are considered as modifications of PSO to adapt to dynamic environments. The libraries for work such as SciPy, DEAP, PyGAD, Particleswarm, JSwarm (has a wide API and well-written documentation), Dlib have been mentioned. Finally, a comparative table with the most important properties (resistance to environmental changes, complexity of implementation, the possibility of using for a UAV swarm, etc.) for all three algorithms was created, a brief description of similar articles comparing algorithms of swarm intelligence was also made, and the conclusions of the study were drawn.

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Тромботична мікроангіопатія (ТМА) - це гетерогенна група захворювань, які за наявності пошкодження ендотелію можуть призводити до тромбозу малих та мікросудин, вторинного споживання тромбоцитів, механічного гемолізу та ішемічного ураження кінцевих органів. Залежно від залучених органів можуть виникати ниркова недостатність, неврологічні симптоми, кардіальна патологія, дихальна недостатність,
порушення зору, панкреатит, ішемія кишківника і (рідше) зміни шкіри .
Така характерна тріада симптомів, як гостра ниркова недостатність (ГНН), мікроангіопатичний гемоліз і тромбоцитопенія, може також супроводжувати деякі специфічні для вагітності стани (зокрема, тяжку прееклампсію/HELLP-синдром (гемоліз, підвищення рівня печінкових ферментів та низька кількість тромбоцитів) , гостру жирову дистрофію печінки вагітних (ГЖДП), а також захворювання, не пов`язані з
вагітністю, але спровоковані нею (катастрофічний антифосфоліпідний синдром (кАФС)
[9], загострення системного червоного вовчаку (СЧВ)). Постає питання ранньої діагностики різних типів ТМА під час вагітності, їх диференційної діагностики з іншими ускладненнями перебігу гестаційного процесу та
проведення цілеспрямованої патогенетичної терапії.

The article presents the design and technological features of creating color labels-sensors of microelectromechanical systems intended for monitoring physicochemical parameters under the conditions of high- level electromagnetic interference. The software module of the hardware and software complex for the visualization of spectral intensity by converting it into an RGB colour model has been created. The algorithm for carrying out the procedure for calculating the color rendering index is shown and the main parameters of temperature colors in a wide range of visible radiation waves are determined