In enclosed spaces, efficient thermal management is essential for maintaining optimal operating conditions. Radiant heating systems, which involve the transfer of heat through infrared radiation, are increasingly utilized in various applications such as industrial facilities, greenhouses, and residential buildings. This study investigates heat and mass transfer dynamics in a local enclosed operating zone under radiant heating conditions. The research focuses on understanding the interaction between heat transfer through radiation, conduction, and convection within the enclosed zone. By developing a mathematical model and conducting experiments, we analyze the impact of different radiant heating setups on the temperature distribution and mass transfer behavior. Our findings reveal that radiant heating provides more uniform temperature distribution compared to conventional heating methods, but it also presents unique challenges in terms of moisture management and air circulation.

Understanding the interaction between biophysical fields and water structure is fundamental for advancing fields such as electrohydrodynamics, environmental science, and biomedical engineering. This study investigates the influence of corona discharge—a form of plasma-based electrical field—on water structure using image-based analysis techniques. Employing high-resolution microscopy and image quantification algorithms, we examined structural changes in water droplets exposed to corona discharge under controlled conditions. The results revealed significant morphological and optical property changes indicative of underlying molecular reorganization. These findings provide new insights into water’s dynamic behavior under biophysical fields and present a methodology for non-invasive analysis of field-induced water modifications.

Fault tolerance has been a foundational concern in computing systems since the earliest days of digital machines, yet its importance has intensified dramatically with the proliferation of safety-critical embedded platforms in automotive, aerospace, industrial automation, and autonomous systems. As semiconductor technologies scale down and system architectures scale up in complexity, modern platforms face an unprecedented exposure to both transient and permanent faults originating from radiation effects, manufacturing variability, thermal stress, and software-induced failures. This article presents an extensive, theory-driven research analysis of fault-tolerant computing architectures and software mechanisms, grounded strictly in classical and contemporary references spanning foundational fault-tolerant theory, radiation-induced errors, virtualization, separation kernels, lockstep processors, heterogeneous computing, and GPU-based redundancy. By synthesizing insights from architectural redundancy, software diversity, hypervisor-based isolation, and mixed-criticality system design, this work explores how modern systems reconcile performance demands with stringent safety and reliability requirements. Special emphasis is placed on dual-core and multicore lockstep architectures, virtualization-assisted isolation, software-only redundancy approaches, and emerging heterogeneous platforms integrating CPUs and GPUs in safety-critical contexts. Rather than providing a superficial survey, this article develops each concept in depth, analyzing design trade-offs, theoretical underpinnings, failure coverage, and limitations. The results highlight that no single fault-tolerance technique is sufficient in isolation; instead, layered and cross-domain approaches are necessary to address the evolving fault landscape. The discussion further identifies open challenges related to timing predictability, certification, scalability, and cost efficiency, while outlining future research directions that align with the trajectory of embedded high-performance computing systems. This article contributes a comprehensive and integrative perspective intended to support researchers, system architects, and safety engineers engaged in the design of dependable computing platforms.