This article examines the architecture and functional characteristics of MVCA, an ultra-lightweight PHP MVC framework oriented toward building fast and clean web applications. The relevance of the study is driven by a recurring trade-off in contemporary PHP frameworks: tools designed to tame complexity often become sources of excessive abstraction and performance overhead themselves. This work aims to analyze MVCA in a multi-level manner, both architecturally and comparatively, to determine its position within the existing PHP frameworks and assess how it can be utilized for small- and medium-scale projects. The article is scientifically novel, as it conceptualizes minimalism as a design approach. MVCA abstraction overhead and ORM layers, integrating modern tooling that includes support for PHP 8.1+, WebSockets, and built-in debugging facilities. The framework's core security model particularly stresses, and it implements security by design through strict filtration of user input. MVCA constitutes a balanced alternative to heavyweight platforms like Laravel and Symfony. It can also provide for a balanced option to some classic lightweight solutions such as CodeIgniter, as well as offering a combination of high performance and simplicity, as it supports critically necessary capabilities that position it as an optimal choice for small and medium web projects, APIs, and microservices with heightened requirements for speed, architectural transparency, and security. The article is useful for developers, software architects, and researchers.

This paper examines the psychovisual effects of camera shake and their influence on viewer perception across various media. The study aimed to systematically investigate the psychovisual mechanisms of shaky-cam and determine the conditions under which it is effective as an expressive device in cinema, immersive, and gaming media. To this end, a comprehensive analysis of neurovisual and physiological experiments was conducted, alongside a comparative review of historical and contemporary cinematographic cases, and an overview of industry reports on image stabilization trends. The relevance of the work is justified by the convergence of two opposing market trends: the ubiquitous adoption of hardware stabilization, which renders smooth imagery the default, and the growth of immersive formats, where deliberate camera shake serves to enhance presence and dramatic tension. Of particular significance is the balance between psychological immersion and the risk of visually induced motion sickness in VR and 360° video. The novelty of the study lies in its interdisciplinary approach, which combines fMRI data on cortical MT/MST activity, EEG studies of the motor cortex, measures of sympathetic response (MSNA, HR), assessments of cognitive load, and industry forecasts for the optical-stabilization and VR-headset markets. This synthesis enables, for the first time, the establishment of clear quantitative boundaries for shake amplitude and frequency across different genres and media. The main conclusions suggest that camera shake enhances the subjective sensation of movement by activating the MT/MST complex and the sympathetic nervous system, while simultaneously increasing cognitive load and increasing the risk of cybersickness. The effect depends on the genre: in action films and horror movies, shaky-cam stimulates emotional arousal; in pseudo-documentary comedies, it strengthens viewer rapport; in VR and games, it requires fine-tuning of head bob and targeted vibrations. Effectiveness is ensured by precise dosing of shake, visual and auditory anchors, and the introduction of islands of calm, with subsequent verification through test screenings. This paper will be beneficial to directors, cinematographers, VR application designers, and researchers studying media perception.

This article investigates the gradual development of artificial intelligence representations in science fiction literature and the ways in which these images have changed across different historical periods. The study traces how authors have imagined machine intelligence, beginning with early mechanical figures and continuing with more complex and self-directed forms in contemporary works. It examines how writers use AI characters to explore questions related to consciousness, responsibility, creativity and human identity. Special attention is given to the social and ethical concerns that appear in these narratives, including issues of trust, control and the limits of technological growth.  The article also considers the cultural background that shapes these portrayals. It shows that every period brings its own expectations and fears about technology, and that literary images of AI reflect these shifting attitudes. Through the analysis of selected texts, the study explains how fiction has served as a space for thinking about scientific progress and its possible consequences. The findings suggest that representations of AI in literature reveal both the anxieties and the aspirations that accompany technological change, and that they continue to influence how readers understand the place of intelligent machines in human life.

The article examines donor-hair selection for capsule extensions with the goal of reproducing native hair optics and biomechanics. Relevance follows from the industry’s shift away from bulky bonds toward micro- and nano-capsules that lower mechanical load and visual detectability, while patient expectations trend toward medical-grade planning. Novelty lies in translating quantitative thresholds from surgical trichology (shaft diameter classes, density ceilings, hair–skin contrast) into an extension-specific selection protocol and embedding these rules in the author’s InvisiCaps Method. The work synthesizes anatomical, physiological, and therapeutic literature; evaluates non-invasive diagnostic tools for pre-installation profiling; and considers materials science evidence for keratin systems. Special attention is given to caliber matching, shade/contrast control, capsule geometry zoning, and maintenance timing under concurrent therapies. The study goal is to define reproducible criteria for natural outcomes. Methods include comparative analysis, critical appraisal, and integrative synthesis across peer-reviewed sources and technical reports. Sources cover transplantation references, guidelines, therapy updates, nutraceutical trials, mechanistic reviews, non-invasive diagnostics, computational modeling, and keratin microcapsule fabrication. The conclusion operationalizes selection rules into a four-step workflow and decision thresholds that practitioners can adopt in premium extension services.

Architectural design imagining has undergone a significant transformation in recent years, driven by the advent of augmented and virtual realities. The emergence of integrating AR and VR, along with the verification of spatial solutions, is generating new opportunities for real-time data visualization and smart environments. Moreover, mixed reality (MR), which combines augmented and virtual realities, forms a “trio” of technologies, each with unique capabilities and features. These high-tech tools enhance teamwork, reduce risks, and enable architects to craft more resourceful designs that align with client requirements. As augmented and virtual realities become increasingly widespread, ensuring the functionality and quality of these technologies is essential. VR and AR verification provides a means to make both augmented and virtual realities safe, user-friendly, and capable of meeting their intended purposes. Therefore, the accuracy of spatial data, which determines whether geographic analyses yield actionable insights or ambiguous results that may waste end-user resources, is critical.

Against the backdrop of the accelerating expansion of the aesthetic medicine market, where consumer preferences are steadily shifting toward minimally invasive interventions, classical approaches to periocular correction — surgical blepharoplasty and traditional blepharopigmentation — exhibit pronounced limitations and are associated with notable risks. The aim is the scientific substantiation and systematization of the author’s technology of atraumatic blepharopigmentation, built on the principle of layered shadow shading, as a safe and effective alternative for the aesthetic correction of age-related (dermatochalasis) and postinflammatory (cicatricial changes) transformations of the eyelids. The study rests on a hybrid design that combines a systematic analysis of peer-reviewed sources in dermatology, plastic surgery, and micropigmentation with conceptual elaboration and synthesis of the technical principles of the proposed method. In conclusion, it is indicated that the leading complications of traditional blepharopigmentation (pigment migration, necrotic changes, scarring) are a direct consequence of a methodological error — excessively deep and traumatic pigment deposition. In contrast, the proposed technique provides for controlled superficial introduction of the colorant within the papillary dermis with multistage, layered placement, which substantially reduces tissue trauma and prevents the development of complications. This approach makes it possible to form a natural three-dimensional shadow effect, visually reduce upper eyelid hooding, and mask defects that are unattainable by surgical methods alone. The author’s concept of atraumatic blepharopigmentation constitutes a scientifically verified approach that fills the therapeutic gap between invasive interventions and insufficiently effective noninvasive options. Implementation of this method in clinical practice through interdisciplinary collaboration with dermatologists and plastic surgeons can significantly improve patients’ quality of life and psychological well-being by achieving predictable, natural, and safe aesthetic outcomes. The presented provisions are addressed to practicing specialists in aesthetic medicine and permanent makeup, as well as dermatologists and plastic surgeons.

The article examines how artificial intelligence reshapes churn prediction and customer lifetime value (CLV) management in data-driven marketing. Relevance follows from the growing pressure to align acquisition and retention spending with incremental value under volatile demand and privacy constraints. Novelty lies in integrating uplift-based policy learning, survival-time horizon modeling, and early-signal CLV for media bidding into a single operating blueprint for marketing and sales leaders. The study describes current model families for churn and CLV, reviews evidence on explainability pipelines for managerial sign-off, and evaluates incrementality-aware targeting that reallocates spend from probability-only ranking to causal response. Special attention is given to cold-start acquisition, where CLV must inform bidding before behavioral depth accumulates. The aim is to synthesize actionable guidance that links model choice to levers in pricing, service, offer design, and paid media. Methods include comparative reading, structured content analysis, and decision-matrix synthesis. The conclusion outlines a practitioner-ready cadence for screening, selection, bidding, and governance. The article will benefit CMOs, heads of sales, growth teams, and analytics leaders building durable, value-aligned programs.