Background
Chrononutrition, the strategic alignment of eating patterns with the body’s biological rhythms, has gained increasing attention as a potential means of improving metabolic health. Time-restricted eating (TRE), a key chrononutrition approach, may help regulate metabolism, yet its effectiveness in older adults remains uncertain. This systematic review and meta-analysis examined the effects of TRE and related chrononutrition interventions on metabolic health biomarkers among older adults aged 60 years and above. The primary outcomes assessed included body mass index (BMI), fasting glucose, systolic and diastolic blood pressure (SBP, DBP), total cholesterol, triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL).

Methods
A comprehensive literature search was conducted across major databases (PubMed, MEDLINE, CINAHL, and Scopus) to identify randomised controlled trials and pre–post intervention studies published between 2015 and 2025. Study quality was appraised using Cochrane risk-of-bias tools. Random-effects meta-analyses were performed, and pooled effect sizes (Cohen’s d) with 95% confidence intervals were calculated.

Results
Seven studies, including both RCTs and pre–post designs, comprising a total of 1,086 participants, met the inclusion criteria. Pooled analyses indicated small, non-significant reductions in BMI (Cohen’s d = –0.10, 95% CI: –0.24 to 0.03, p = 0.14) and fasting glucose (Cohen’s d = –0.18, 95% CI: –0.61 to 0.25, p = 0.41). No statistically significant changes were observed for SBP, DBP, total cholesterol, triglycerides, HDL, or LDL (all p > 0.05). Heterogeneity across studies was minimal, and findings were consistent between RCTs and pre–post analyses.

Conclusion
Time-restricted eating appears to be a safe and feasible dietary approach for older adults; however, it does not produce statistically significant improvements in key metabolic biomarkers compared to control or baseline conditions. The modest effects observed may reflect the complex interplay of biological, behavioural, and sociocultural factors influencing chrononutrition in ageing populations. More diverse and methodologically robust studies are needed to clarify TRE’s role in promoting metabolic health and reducing chronic disease risks among older adults.

The article examines how modern AI pipelines automate first-pass résumé screening for technology roles while preserving recruiter control and legal defensibility. Reproducible evidence from recent peer-reviewed and preprint studies shows that structure-aware parsing stabilizes downstream extraction, domain-adapted encoders raise retrieval quality over keyword ATS baselines, and multilingual, taxonomy-anchored skill extraction reduces manual curation for heterogeneous applicant pools. Governance syntheses specify safeguards—audits, calibrated thresholds, span provenance, and contestability—suitable for large employers. An overlay architecture is derived that integrates with existing ATS workflows without occluding the résumé, uses embedding-first retrieval with lightweight re-ranking, and logs interpretable artifacts for audits. Industry benchmarks on time-to-fill, cost-per-hire, and screening effort motivate the intervention and calibrate expected cycle-time reductions and quality-of-hire gains for U.S. tech hiring. The contribution is a consolidated, deployment-oriented blueprint that connects empirical gains in ranking and extraction with organizational guardrails and recruiter-facing design choices.

This study analyzes the Titanic escape room project as a paradigmatic instance demonstrating a viable resolution to this challenge. Amid the rapid expansion of the experience economy and the market for location-based entertainment (LBE), the creation of high-tech immersive spaces, such as escape rooms, presents a multifaceted challenge in integrating narrative, technology, and safety. Using a single case-study methodology, the work deconstructs the project’s architecture through the prism of three theoretical constructs: the disappearing computer (calm technology) from human–computer interaction (HCI), human-in-the-loop (HITL) systems, and multilevel safety models adopted from human–robot interaction (HRI). Results indicate that seamless immersion is achieved via technological invisibility, wherein a sophisticated show-control network functions as a dynamic narrative engine. Interactivity is ensured via HITL models that actively treat the player as a system component. Narrative-directed perceived safety, separated from absolute physical safety, ensures the safety of physical effects using a multilayered architecture. The article proposes an integrated conceptual model synthesizing these approaches, discussing how it is practically meaningful when someone designs and evaluates complex interactive entertainment systems. Researchers and practitioners in engaging design, control, and human-computer interaction who design or analyze complex interactive spaces will find this paper helpful.

The article presents a comprehensive analysis of the role of artificial intelligence in optimizing operational processes and managing port logistics. The study is conducted within a theoretical and analytical framework that integrates the concepts of digital transformation, intelligent transport systems, and sustainable supply chain management. The analysis is based on recent research focusing on the application of machine learning, neural networks, and digital twins to predict vessel dwell times, container availability, and enhance the efficiency of port operations. Particular attention is given to the socio-economic effects of AI adoption in the maritime sector, including the reduction of manual labor, transformation of professional roles, and the growing need for investment in human capital. The paper summarizes key areas of AI implementation in logistics, including predictive maintenance, intelligent navigation, crane automation, and digital safety systems. The novelty of the study lies in viewing artificial intelligence not only as a technological tool but also as a strategic mechanism for building a sustainable, adaptive, and socially responsible model of port management. The findings of the study may be useful for researchers in transport analytics, digital logistics professionals, port terminal managers, and developers of intelligent management systems.

Under the conditions of rapidly accelerating digital transformation and the intensification of migration processes in 2024–2025, foreign language education is undergoing not merely an evolution but a qualitative paradigm shift: from the dominance of a narrowly understood communicative competence to the priority of comprehensive intercultural and existential literacy. In this study, the method of creative interpretation of stage-by-stage learning (МТИПО) is theoretically substantiated and empirically tested; it represents an integrative model for mastering language, speech patterns, cultural codes, and folk traditions in their mutual interdependence. In contrast to classical linguodidactic approaches, which often artificially separate linguistic and cultural components, the proposed model interprets folklore and tradition not as a set of fixed knowledge to be mechanically assimilated, but as a dynamic, open semantic field that serves as material for creative transformation and personal appropriation by learners. Within the framework of the study, a three-component stage-by-stage learning model was implemented: a perceptive-cognitive stage, at which culturally significant meanings of folklore texts and practices are decoded; a reproductive-reconstructive stage, which presupposes the internalization of typical speech and behavioural patterns; a stage of creative interpretation, associated with the construction of new cultural artefacts through digital storytelling and the use of generative AI technologies. The data obtained on the basis of standardized language competence tests, the Cultural Intelligence Scale (CQS), and qualitative analysis of digital projects demonstrate a statistically significant advantage of the experimental group. This confirms the hypothesis that the creative interpretation of traditions, in their conjunction with the contemporary technological context, contributes to a deep integration of the learner’s linguistic and cultural identity, making the process of foreign language education existentially meaningful and sustainable.

The gasoline blending station is a key unit at an oil refinery, ensuring the production of finished products compliant with modern technical specifications. The purpose of this study is a comprehensive analysis of the technological process and layout of a gasoline blending station operating at an oil refinery in Uzbekistan. The investigation covers the feedstock base, equipment, sequence of operations, automated process control system, and features of enhanced fuel production. The process is based on the compounding of three components-light naphtha, reformate, and butane fraction-followed by the addition of specialized detergent additives to produce QuWatt-branded fuel. A critical factor ensuring consistent product quality is the adjustment of the blending recipe based on real-time laboratory data on the properties of the feedstock components. The analysis confirms a high level of reliability and safety of the unit, achieved through a multi-level system of alarms, interlocks, and automatic regulation, enabling effective control of the complex technological process and the production of gasoline grades strictly in accordance with national standards.

The study presents a multilevel neurocognitive analysis of eyelash extension practice, treating it as a high-level psychomotor skill comparable in organizational and sensorimotor complexity to microsurgical manipulations and performance disciplines. The research introduces an original interdisciplinary framework integrating knowledge from cognitive neuroscience, the psychology of motor learning, materials science, and industry safety regulations. The author’s hypothesis is formulated as the claim that progression to an expert trajectory is determined by the synergy of two complementary components: cognitive precision, formed through sequential stages of skill acquisition and supported by neural networks of sustained attention and executive control, and sensory stability, ensured by reducing external (hygienic and environmental) and internal (chemical effects of the formulations used) sources of sensory noise. To empirically close the theoretical model, an analysis of innovative techniques and materials was conducted using the H-Lashes case, including the Clean Reputation protocol, the H-Lashes Powder formulation, and the Dual Lash Balance method. The findings have applied significance for reconfiguring educational trajectories, designing new product solutions, and strengthening the professional status of specialists in the beauty industry.