Annotation: The article is devoted to the search for algorithms that allow drivers and fleet operators to reduce road risks based on telematics data, behavioral analysis and risk scoring. The relevance of the topic is due to the fact that in the conditions of digitalization of the short-term car rental market, driving safety can no longer be ensured only by traditional control of violations or technical monitoring of the vehicle. Dynamic assessment of driver behavior is becoming more important, which allows identifying risk patterns directly during the trip. The purpose of the article is to substantiate the features of dynamic assessment of driving risk based on telematics data in short-term car rental fleets on the US market. The study used general scientific methods of analysis, generalization, comparison and systematization of scientific literature. The author's methodology for comprehensive risk assessment is also presented, which can be adapted to the conditions of the US market and integrated into modern telematics, insurance and fleet-management systems. The article also shows that approaches to assessing driving risk have different construction logics. Some models are focused on the driver's perception of danger, while others use sensory signals, a smartphone, GPS or OBD-II data to recognize driving style. This allowed us to show that it is advisable to assess the risk in rental fleets not as a single event, but as a sequence of driver behavioral reactions within a specific trip. It is this approach that creates the basis for earlier detection of unstable or aggressive driving behavior. The practical significance of the study is that the proposed methodology can be used by international fleets, short-term car rental companies, insurance companies that use usage-based insurance models, as well as state and municipal transport systems. Its strengths include the ability to prevent fleet accidents through early detection of risky behavior, reduce insurance and repair costs, create an AI-model of behavioral risk scoring of the driver, scale to various telematics and fleet-management platforms, and transform fleets into data-driven safety and risk management systems.

Annotation: This article argues that emotional literacy sits at the intersection of cognitive and affective development in bilingual children, a relationship that has grown harder to ignore as linguistic diversity becomes an everyday classroom reality and frameworks like the Whole Child approach push education toward more holistic goals. Neuroscience and cognitive linguistics both point in the same direction: bilingualism does more than expand vocabulary. It engages the executive functions of the prefrontal cortex; the mechanisms children rely on to recognize and regulate what they feel. Building on this, the article draws on emotional granularity and Theory of Mind as analytical tools, and reconsiders the "third space" as a context where hybrid identity can genuinely take root. Empirical data from the USA grounds the argument: where SEL interventions have been sustained, their relationship with the academic performance of bilingual students is statistically significant, with real implications for how inclusive learning environments are built. The author describes and verifies the efficacy of specific pedagogical modalities ranging from translanguaging pedagogy to body-oriented practices, emphasizing the role of the teacher and familial context in fostering the child`s “emotional immunity”. A case study involving 5 states is utilized and contemporary methods for cultivating emotional literacy in bilingual environments across 12 U.S. cities are examined. The article concludes with the substantiation that an additive approach to bilingualism transforms it from a factor of acculturative stress into a strategic cognitive resource.

Annotation: (Українська) У роботі розглянуто інтеграцію підсистеми прогнозування попиту в розподілені інформаційні системи торговельних мереж. Запропоновано комбіновану архітектуру, що поєднує локальну обробку даних, федеративне узгодження параметрів і мікросервісну взаємодію. Визначено ключові компоненти та технології для забезпечення масштабованості, автономності локальних вузлів і зменшення передавання сирих даних.

Annotation: The article examines approaches to building an information system for managing goods and equipment in a warehouse. The drawbacks of manual inventory management are analyzed and the necessity of automating warehouse processes is justified. The main functional modules of the system are described: recording receipts and dispatches, managing stock balances, conducting inventory checks, and generating reports. The use of barcode and RFID technologies for identifying goods and equipment is considered. A database structure is proposed and software requirements are defined.

Annotation: 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.

Annotation: 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.

Annotation: 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.

Annotation: At most large domestic enterprises, the HR department and the payroll department report to different managers, which creates a gap between HR decisions and their reflection in payroll calculations and increases the risks during inspections by regulatory authorities. The article examines the organizational and technological conditions under which a personnel evaluation system becomes an effective tool for enterprise management. Based on the author's management experience at three large enterprises – SE “Pivdennyi Sea Port Administration,” OilGasChem Service (OGC Service), and Lukoil Technologies Services Ukraine – a comparative analysis of personnel evaluation methods is conducted, the role of personnel commissions is characterized, and the author's HR-ERP system, implemented from scratch at two enterprises (OilGasChem Service (OGC Service) and Lukoil Technologies Services Ukraine), is described. It was found that combining a competency model, KPI approach, and performance review provides better management results than using each method separately. It was shown that combining the functions of the HR manager and the head of the payroll department in one position significantly reduces the number of calculation errors and ensures end-to-end consistency of personnel documentation and reporting. The scientific novelty is the concept of “live calculation” – an architectural solution in which any change in personnel status automatically and without delay recalculates accruals, which fundamentally distinguishes the system from standard solutions based on the paradigm of closing the calculation month.

Annotation: This publication is dedicated to the quantitative evaluation and mathematical substantiation of the economic efficacy of the proprietary VFRP (Visual Finish-Result Planning) technology within the context of retail chain deployment. The study is grounded in a comprehensive analysis of a professional project portfolio spanning from 2007 to 2022, encompassing 108 completed fit-out projects (n = 108). The methodology demonstrates no statistically significant schedule deviation within the observed sample, while ensuring high operational stability during the simultaneous management of up to 17-20 assets. The author proposes an innovative management system predicated on backward scheduling mechanisms and the visualization of the target state as a “Single source of truth”. The study presents a mathematical model for the minimization of economic attrition, encompassing the formalization of empty rent expenditures, opportunity costs and rework expenses. Particular emphasis is placed on the variable frequency response mechanism, which ensures the exponential decay of temporal errors through non-linear control reinforcement at critical interaction nodes. Empirical verification across international chains confirms that the VFRP technology guarantees zero schedule variance in 95% of implementation cases. The research findings position VFRP as a fundamental investment risk hedging mechanism that ensures the stabilization of operational profit from the inaugural day of the lease.

Annotation: Artificial intelligence has grown capable enough to reopen a basic question: how should work be divided between humans and machines? Fully autonomous AI performs well on structured, data-rich tasks, yet collaboration between humans and AI consistently produces stronger results in complex, context-dependent, and creative settings. This article reviews how human-AI interaction models have evolved and proposes a three-level classification of collaboration: automation, augmentation, and identity-level partnership. Drawing on established complementarity frameworks and hands-on experience in AI-driven software development, the author introduces the Scalable Human Model (SHM) – a framework in which AI operates as an extension of one individual’s cognitive style, communication patterns, and decision-making logic. A case study of OPV Systems validates the model: one developer, supported by AI agents, reached productivity levels normally associated with a team of five to eight. The findings suggest that this mode of partnership differs qualitatively from augmentation – it lets professionals scale their expertise without sacrificing authenticity or strategic control. Implications for software engineering, digital legacy systems, and human-centric AI design are discussed.