Chernobyl is often remembered as a reactor failure. In reality, it was a collapse of institutional coherence—where procedures, authority, and information failed faster than systems could adapt.

Greenland is often discussed through the lens of Arctic competition, but its strategic future is better understood as a question of long-term stability under institutional constraint. A new MGSSSG report applies coherence-engineering to map Greenland’s plausible strategic pathways without crisis assumptions.

Differential equations are a core component of engineering education, yet they are often taught without clear connection to the advanced fields where they are later applied. Differential Equations in Engineering Fields is a compact crash course developed from intensive teaching experience between 2008 and 2010, focusing on the essential ODE tools used in systems, signals, RF and microwave engineering, and applied physics. The ebook emphasizes efficient solution methods, physical interpretation, and fully worked examples aligned with advanced engineering practice.

Engineering mathematics is often taught as a collection of isolated techniques rather than as a coherent language for reasoning about systems. Advanced Engineering Mathematics approaches the subject differently, presenting transform methods, complex analysis, and system theory as an integrated mathematical framework aligned with real engineering practice. Developed at Maxdi Research, the book emphasizes structural understanding over rote computation and reflects how engineers actually move between representations when analyzing signals, dynamics, and stability. This research-driven perspective reframes mathematics as an operational tool for modern electrical and computer engineering.

Venezuela 2026 is a paid institutional research brief published by the Maxdi Global Strategic Stability Studies Group (MGSSSG). The report applies the MXD-COGN coherence-engineering framework—integrated with a formal game-theoretic overlay—to analyze Venezuela’s 2026 instability environment across elite coordination, coercive execution, oil-based economic throughput, legitimacy, and external policy coupling.

Rather than offering narrative forecasts or policy prescriptions, the assessment identifies structural instability basins, high-κ interface sensitivities, and scenario families governing Venezuela’s near- and medium-term trajectories. Core focus areas include oil sector control and revenue governance, sanctions and licensing dynamics, elite–security coherence, civilian welfare implications, and regional spillover risks. The report is intended for institutional analysis, strategic monitoring, and scenario conditioning under contested information environments.

Iran’s January 2026 crisis represents not a moment of imminent collapse, but a phase of systemic coherence decay under sustained external pressure and internal governance constraints. Using the MXD-COGN framework, this analysis examines how sanctions, economic stress, ideology, and regional dynamics interact to increase escalation risk—while identifying restraint-based diplomatic pathways capable of preventing a wider regional catastrophe.

Iran’s January 2026 crisis cannot be understood through protest counts, headlines, or political rhetoric alone. It reflects a deeper structural condition in which information control, economic stress, institutional alignment, and external pressure interact in complex, non-linear ways. This public brief applies a systems-based stability framework to examine how coherence within political systems degrades, adapts, or transitions under sustained stress. Rather than offering predictions or prescriptions, the analysis provides a neutral structural lens for interpreting prolonged instability in modern governance environments.

Recent quantum experiments capable of reversing, pausing, or accelerating isolated quantum system evolution are often described as “quantum time reversal.” In this paper, Coherence Engineering Interpretation of Quantum Rewinding, Dr. Mahdi Haghzadeh reframes these protocols not as literal time reversal but as processes of restoring coherence across inference pathways. Using the MXD-COGN framework, this research introduces a global coherence order parameter, offers operational estimators accessible from experimental observables, and explains why quantum rewinding succeeds under ideal conditions yet fails at scale. The framework provides new diagnostics for coherence loss and insights relevant to quantum technologies, error correction, and control design.