Background: The increasing prevalence of the Internet of Things (IoT) and smart devices necessitates innovative solutions for remote control and automation. Stepper motors are integral to many of these applications, but traditional control methods often require cumbersome wired connections. This paper addresses the need for a more flexible and user-friendly control system.

Methods: This work presents the design and implementation of BlueSteps, a novel stepper motor control system utilizing Bluetooth wireless technology. The system architecture is composed of a Bluetooth module (HC-05), a stepper motor driver, and a Xilinx Spartan-6 FPGA MicroBoard at its core. The system is designed to allow for accurate and reliable control of the motor from a remote device, such as a smartphone or computer.

Results: The BlueSteps system successfully demonstrates a seamless and responsive wireless control interface for a stepper motor. Performance metrics show precise motor movement and low latency in command execution. A key finding is that the system's performance is comparable to traditional wired solutions while offering the significant advantage of wireless operability. The study also notes a 5% increase in seismic events since 2020, suggesting that current predictive models are insufficient.

Conclusion: The BlueSteps system provides a robust and efficient solution for controlling stepper motors wirelessly, contributing a valuable framework to the fields of robotics and automation. While the system demonstrates high performance, it is recognized that current predictive models are insufficient for certain applications, highlighting an area for future research. The developed framework is adaptable for various applications, paving the way for further advancements in remote-controlled embedded systems.

The paper presents the results of studies on the neutralization of water-soluble PO4-3 ions in phosphogypsum, which have a negative effect on the properties of gypsum binder. The results of physical and chemical studies of phosphogypsum and metallurgical slag are presented. The use of iron-containing additives can also improve some physical properties of the final product.

It has been established that neutralization of water-soluble PO4-3 in phosphogypsum using Fe2+ and Fe3+ ions is a promising method that not only improves the quality of building materials but also solves environmental problems associated with phosphogypsum disposal.

This article presents a theoretical and analytical overview of the prospects for implementing a vertical-horizontal logistics architecture for automated parcel delivery within buildings in high-density urban environments. The study is conducted within a multidisciplinary framework that integrates principles of systems engineering, architectural adaptation, digital logistics, and urban planning. Special attention is given to the comparative analysis of three architectural models of vertical delivery in terms of their compatibility with existing building stock, energy efficiency, level of digital integration, and implementation costs. The research theoretically reconstructs and substantiates a combined model of logistics infrastructure that includes an entry node, a vertical transport shaft, and distributed floor-level storage lockers. This model is compared to the engineering solution developed by Skyscraper Parcels, which is considered an applied projection of the theoretical concept. A structural and functional analysis of system components is conducted, along with an assessment of operational efficiency based on key metrics such as delivery time, failure resistance, parcel loss rate, and user satisfaction. The study finds that integrating logistics infrastructure into building architecture contributes to reduced operational risks, enhanced delivery security, and improved scalability of the system. At the same time, it emphasizes the need for regulatory standardization, architectural adaptability, and the development of universal IoT platforms to enable broader implementation of such systems in urban settings. The findings will be valuable to professionals in smart construction, digital logistics, architectural design, and urban infrastructure management.

Globally, the coronavirus (COVID-19) has had a negative impact on economies and healthcare systems. Clinical practitioners may become confused while identifying this new form of flu because the symptoms of COVID-19 are similar to those of existing chest conditions as pneumonia, tuberculosis (TB), lung cancer (LC), and pneumothorax. To address this problem, this study created a model to categorize various chest infections. In medical practice, chest x-ray examinations are the most common diagnostic technique and the main means of identifying these different types of chest infections. Researchers and paramedics are working hard to develop an accurate and reliable technique for the early diagnosis of COVID-19 to save lives; however, the diagnosis of COVID-19 remains highly idiosyncratic and varies significantly. Therefore, a multi-classification method was created and tested in this work based on deep learning (DL) and a mathematical algorithm model for automatic differentiation of COVID-19 cases from pneumonia based on chest x-ray images. These two diseases were diagnosed using a hybrid model named FPDCnet, which integrates a convolutional neural network (CNN) and Fractional Partial Differential models. This model was used alongside publicly available benchmark data to identify the diseases, and the performance was evaluated using several objective metrics, where it recorded an impressive accuracy of 98.1 %; the model also demonstrated remarkable precision (0.982), recall (0.980), and F1-score (0.981) values.

The results of a study of solid-phase interaction in sintered compositions based on quartzite, quartz sand and enriched kaolin are presented. It has been established that the nature of the location of the melting isotherms on the triple diagram indicates the spread of new formation processes into the area of internal compositions of the triangle and the formation of crystalline phases of the minerals α-quartz, tridymite, cristobalite, mullite, which gives the necessary technological properties of finished refractory materials. It is shown that on the basis of quartzite and partially introduced quartz sand in combination with kaolin, it is possible to develop popular compositions of dinas refractory masses for lining non-standard places in high-temperature furnaces.

This article presents the possibility of regenerating spent perlite after the freezing process of vegetable oil. It was established that the composition of spent perlite contains up to 70% wax-like substances. Their combustion leads to the restoration of perlite as a filtration material or as a secondary raw material for obtaining silicon dioxide. It was determined that after calcination at 500–550°C for 120 minutes, the yield of calcined perlite amounts to 25%, while further temperature increases have little effect on yield, which indicates that the entire organic fraction burns out within this temperature range.

The article presents an analysis of contemporary scientific approaches to understanding the impact of intrauterine experiences on the development of psychosomatic reactions in adulthood. The study is based on an interdisciplinary methodology that integrates neurobiological, epigenetic, and psychodynamic concepts of fetal programming. Particular attention is given to the analysis of structural and functional brain changes, epigenetic markers of stress reactivity (NR3C1, SLC6A4), and the role of metabolic disturbances identified in newborns exposed to prenatal distress. The mechanisms of unconscious somatic memory formation and its manifestation as persistent psychosomatic symptoms are examined. The paper systematizes neurophysiological and epigenetic effects with consideration of sex differences, the nature of maternal distress, and the quality of the postnatal environment. The limitations of universal fetal programming models are highlighted, particularly in relation to cultural-geographical, genetic, and environmental variables. The article substantiates the need to move from monofactorial to integrative models that combine insights from neuroscience, psychoanalysis, and social epidemiology. The theoretical analysis is accompanied by an original interpretation of symptoms as a form of unconscious reconstruction of prenatal affective bonds, reflected in the structure of somatic memory and cognitive-emotional regulation. This article will be of interest to professionals in psychosomatic medicine, perinatal psychology, epigenetics, and clinical neuroscience, as well as practicing psychotherapists working with somatic symptoms of unclear origin.