Nonlinear plasma evolution in microgravity cannot be reliably characterized under terrestrial gravity because buoyancy-driven convection modifies or suppresses the intrinsic instability mechanisms. Consequently, the predictive design and safe operation of electromagnetically actuated plasma engineering systems require a unified theoretical framework capable of distinguishing gravity-independent behavior from phenomena that emerge only under microgravity conditions. A microgravity nonlinear plasma platform was therefore established as a multi-physics governance framework that defines the physical and mathematical conditions under which nonlinear plasma evolution becomes microgravity-dependent while providing quantitative criteria for operational stability. A dimensionless governance ratio was introduced as the principal classification metric, coupling the electromagnetic control bandwidth with the nonlinear instability growth rate. The framework was further integrated with a three-tier distributed intelligent governance of stabilized plasmas supervisory architecture, through which electromagnetic actuation, thermal-ionization energy balance, and structural boundary response are coordinated across multiple interacting physical domains. Three operating regimes were thereby defined: admissible (R > 10), marginal (1 < R ≤ 10), and runaway (R ≤ 1), each associated with prescribed electromagnetic control actions, a diagnostic latency constraint, and mandatory termination logic. An analytical microgravity threshold was derived. Recent observations from the Plasma Kristall-4 (PK-4) complex plasma facility aboard the International Space Station (ISS) were shown to be consistent with the predicted emergence of field-aligned filamentary structures and anisotropic nonlinear transport under reduced-gravity conditions. Finally, five quantitative and experimentally falsifiable predictions were formulated to establish a systematic validation pathway for future microgravity plasma experiments. Collectively, the proposed framework provides a rigorous theoretical foundation for the analysis, governance, and engineering design of high-energy-density plasma systems operating in microgravity and establishes a general methodology for the development of next-generation plasma propulsion technologies, advanced confinement architectures, and reaction-boundary control systems in coupled multi-physics environments.

The rapid growth of religious tourism has intensified the demand for supporting transport infrastructure, particularly an efficient shared parking system integrated with on-site traffic circulation and pedestrian flow management at sacred sites. This study defines the shared parking scheme as the temporal and spatial allocation of a common facility among buses (for organized pilgrim tours) and passenger cars (for individual visitors), managed by the mosque authority across distinct worship-time windows. Three research questions are addressed: (i) whether visitor groups differ in acceptable walking distance to parking; (ii) whether a digital parking guidance system is suitable across age cohorts; and (iii) how vehicle type influences parking capacity planning. A questionnaire survey was administered to 505 respondents at the Sheikh Zayed Grand Mosque in Surakarta, Indonesia. The Pearson Chi-Square Test examined associations between categorical variables; where more than 20% of cells had expected frequencies below five, Fisher's Exact Test with Monte Carlo approximation was applied, and Cramer’s V was reported as the effect-size measure. Age was significantly associated with nearly all parking-preference variables ($p <$ 0.01), with the 17–32-year cohort showing higher receptivity to digital parking information systems. Vehicle type exhibited significant associations with five of six preference variables ($p <$ 0.05) and the largest mean Cramer’s V, indicating the most consistent though not causal demographic correlate. Travel purpose was significantly associated with visiting duration ($p$ = 0.007) and acceptable walking distance ($p$ = 0.043). Findings yield four operational recommendations: (i) segregated bus and passenger-car zones with dedicated bus-reservation slots; (ii) tiered short-stay/long-stay zoning aligned with prayer-time peaks; (iii) age-differentiated wayfinding combining digital guidance and on-site human assistance; and (iv) temporary traffic control during peak worship hours.

Healthcare supply chains face increasing challenges related to counterfeit products, fragmented information flows, limited traceability, and insufficient coordination among distributed stakeholders. Existing centralized and partially decentralized approaches still encounter difficulties in maintaining immutable records, real-time verification, and trusted operational transparency across the pharmaceutical distribution process. This study investigates a distributed medical supply chain framework that improves traceability, compliance control, and operational reliability in healthcare logistics. A blockchain-enabled architecture was developed by integrating dynamic quick response (QR)-based identification, customizable smart contracts, and a hybrid consensus mechanism combining Proof-of-Work (PoW) and Proof-of-Stake (PoS). The framework assigned a unique cryptographic identity to each medicine unit and supported end-to-end verification through blockchain-linked QR validation. Smart contracts were designed to automate ownership transfer, compliance checking, and counterfeit detection throughout the supply chain workflow. The framework was implemented and evaluated in a simulated distributed environment using pharmaceutical transaction scenarios. The experimental results showed that the proposed approach achieved average validation accuracy of approximately 98.1%, maintained transaction throughput between 150 and 320 transactions per second (TPS), and reduced consensus delay through adaptive PoW–PoS coordination. The system also demonstrated strong resistance to forgery attempts and stable operational performance across repeated validation experiments. The results indicate that integrating blockchain governance mechanisms with QR-enabled authentication can improve transparency, trust, and traceability in distributed healthcare supply chains. The proposed framework provides a scalable systems engineering solution for pharmaceutical logistics management and offers a practical foundation for compliance-oriented digital transformation in healthcare supply networks.