Зміст журналу No4 (квітень) 2026 y.

Анотація: (English) The progressive retirement of legacy cellular technologies represents one of the most intricate operational challenges faced by contemporary mobile network operators. While the migration toward LTE and fifth-generation infrastructures has been widely documented, the methodological foundations governing the controlled sunset of earlier radio access technologies remain comparatively underexplored. In particular, the decommissioning of UMTS networks introduces a complex interplay between spectrum refarming, traffic redistribution, service continuity, and operational risk. If performed without analytical guidance, the shutdown of legacy radio layers may provoke severe congestion phenomena, localized capacity collapse, and degradation of user-perceived service quality. This study proposes a structured analytical framework for strategic UMTS sunset implementation within national-scale mobile networks. The research develops a mathematical model that conceptualizes technology retirement not as an isolated operational procedure but as a multi-stage optimization problem embedded within the broader dynamics of traffic migration and spectrum reallocation. The model integrates probabilistic risk estimation, predictive traffic forecasting, and performance-oriented optimization in order to determine the most balanced trajectory of legacy infrastructure decommissioning. To validate the analytical model, a dedicated experimental software environment was implemented in Python, enabling simulation of progressive UMTS shutdown scenarios and comparative evaluation of alternative decision strategies. The system incorporates modules for dataset preprocessing, predictive traffic modeling, iterative sunset simulation, and analytical visualization of network behavior. An openly available dataset describing cellular network performance indicators was used to construct a synthetic yet statistically plausible representation of sector-level radio conditions. Simulation results demonstrate that risk-aware sunset strategies significantly reduce the probability of network overload events while preserving higher LTE throughput levels during the transition process. In contrast, load-driven or stochastic shutdown strategies exhibit increased susceptibility to blackout conditions under heavy traffic migration scenarios. The obtained findings indicate that integrating predictive modeling and probabilistic risk assessment into sunset planning procedures enables a more stable and resource-efficient transformation of cellular infrastructures. The proposed methodological framework contributes to the emerging body of research on technological transitions in mobile networks by providing a coherent analytical approach to legacy technology retirement. Beyond its theoretical implications, the model may serve as a practical decision-support instrument for mobile operators planning large-scale spectrum refarming and infrastructure modernization initiatives.

Анотація: (English) The subject of the present research is the specificity of the prehospital management of acute life-threatening conditions of diabetic ketoacidosis (DKA) and severe neuroglycopenia in patients with type 1 diabetes mellitus (T1DM) within the framework of the American emergency medical services (EMS) system. The clinical situation is analyzed wherein the provision of urgent care under conditions of information deficit and severe time constraints becomes a catalyst for severe iatrogenic complications. In focus are the cognitive biases of providers, the phenomenon of diagnostic obfuscation and systemic contradictions between the complex transcellular biochemistry of endocrine crises and the rigid architecture of field operational algorithms. The objective of the work consists in conducting a comprehensive, pathophysiologically substantiated critical analysis of the most common diagnostic and therapeutic errors committed by emergency medical crews. The research seeks to deconstruct the mechanisms of iatrogenesis occurrence to substantiate the necessity for the profound humanization and conceptual optimization of local EMS protocols. To realize the set objective, an integrative critical review design was applied, combining elements of the retrospective analysis of clinical guidelines and the assessment of epidemiological metrics. Leading medical repositories (PubMed, Cochrane Library, Scopus) served as the information base, encompassing specialized publications for the 2010-2024 period. The research synthesizes current consensuses of US associations (ADA, NAEMSP, ACEP) and representative data of the National Emergency Medical Services Information System (NEMSIS). The extracted data array was subjected to thematic content analysis with the stratification of identified deviations into three fundamental categories: diagnostic distortions, osmotic catastrophes of fluid resuscitation and pharmacotherapeutic incidents. The research results convincingly demonstrate that the high frequency of complications in patients with T1DM is a logical consequence of systemic algorithmic dissonance rather than the individual incompetence of medical professionals. To break the vicious cycle of iatrogenesis, the mandatory integration of expanded screening (POCT) into the basic triage protocol, the categorical rejection of the prehospital application of exogenous insulin and the transition to a restrictive, physiologically calibrated tactic of infusion therapy and the gentle alleviation of hypoglycemia (D10W) are critically necessary. The global transformation of prehospital endocrinology requires the abandonment of the rigid “cookbook medicine” concept in favor of adaptive guidelines returning to paramedics the right to scientifically substantiated clinical judgment.

Анотація: (English) The article reveals the theoretical, physico-chemical, and practical aspects of the formation of resistant starch during the preparation, cooling, and reheating of starch-containing products. It has been established that the formation of resistant starch depends on the starch structure, the ratio of amylose and amylopectin, as well as on the processing conditions. Special attention is paid to retrograde modification, which occurs after heat treatment and subsequent cooling of the product, and is a key factor for the formation of resistant starch type RS3. Data on products that have the greatest potential for the formation of resistant starch are summarized, as well as its importance for metabolic health. Resistant starch helps to reduce the postprandial glycemic response, participates in fermentation in the colon, and may have a beneficial effect on the intestinal microbiota. The article discusses the potential applications of resistant starch in the field of nutrition and food technology. The main limitations were also identified, and directions for future research in this area were outlined.