Open MIND
Chronic power outages in Ghana highlight systemic challenges in infrastructure governance. The reliability of the national distribution network, a critical engineering system, remains inadequately quantified, hindering evidence-based policy interventions. This policy analysis evaluates the determinants of distribution system reliability using a multilevel modelling framework. It aims to quantify …
{ "background": "Evaluating the impact of technological and managerial interventions on manufacturing systems efficiency requires robust quasi-experimental methods. The difference-in-differences (DiD) model is widely applied in econometrics but its methodological rigour and assumptions are less frequently scrutinised within industrial engineering contexts, particularly in developing economies.", …
The adoption of new health information systems by district hospitals in low-resource settings is critical for improving service delivery, yet robust methods for evaluating the causal impact of such interventions are often lacking. This study aimed to develop and apply a rigorous difference-in-differences (DiD) econometric framework to quantify the adoption rate of a new electronic health records …
ABSTRACT The classical medical paradigm defines health primarily as a negative state: the absence of detectable pathology or structural disease. This binary framework inherently fails to capture the dynamic, pre-clinical deterioration of human vitality. Utilizing the High Entropy Predictive Organization Efficiency (HEPOE Theory) framework, this paper proposes a epistemological shift, redefining h…
ABSTRACT Classical rheumatology and pain management paradigms rely fundamentally on the detection of mechanical hardware damage, such as tissue inflammation or nerve degradation. Consequently, conditions like Fibromyalgia, which present severe chronic pain without corresponding local structural anomalies, remain medical enigmas. Under the HEPOE Theory (High Entropy Predictive Organization Efficie…
ABSTRACT The HEPOE (High Entropy Predictive Organization Efficiency) Theory redefines High Ability/Giftedness as the "Sentinel Phenotype", a high-fidelity sampling system structurally optimized for free energy minimization. A persistent clinical paradox in this population is the frequent observation of abbreviated sleep cycles, conventionally pathologized as insomnia or generalized anxiety. This …
ABSTRACT The pursuit of quantum supremacy is currently bottlenecked not merely by engineering constraints, but by the fundamental thermodynamic limits of error correction and decoherence. While contemporary hardware engineering approaches this instability primarily as a challenge of cryogenic isolation, we propose a paradigm shift by bridging quantum information science with neurocomputational th…
Repository of data, code, plots, etc for the manuscript, "Characterizing the microbiome associated with the degradation of Saccharina latissima biomass in anaerobic marine sediments".
ABSTRACT Traditional quantitative finance models, fundamentally rooted in the Efficient Market Hypothesis (EMH) and continuous random walks, frequently struggle to predict extreme liquidity events, such as Flash Crashes. During high-entropy transitions, financial markets are modeled to exhibit characteristics of coupled physical systems undergoing structural failure rather than independent stocha…
Strategic management is a fundamental management discipline that enables organizations to achieve long-term success by aligning their resources, capabilities, and operations with the changing business environment. It involves the systematic process of environmental scanning, strategy formulation, implementation, evaluation, and continuous improvement to achieve organizational goals effectively an…
Artificial Intelligence (AI) has emerged as a transformative technology that is reshaping various sectors, including the legal system. The increasing use of AI-generated content such as images, videos, audio recordings, and text has introduced new challenges regarding the admissibility, authenticity, and reliability of evidence in judicial proceedings. While AI enhances efficiency in legal resear…
The ProblemAir-quality forecasts exist to warn citizens before pollution reaches dangerous thresholds. However, the machine-learning literature overwhelmingly evaluates these models using Mean Absolute Error (MAE). Because air quality is highly autocorrelated, naïve persistence models (predicting that the next hour equals the current one) achieve excellent average error scores despite being struc…
Paper II of the Clebsch: Rigidity from Sparse Shadows series produces a signed cubic from a matching quotient. This preprint identifies its canonical five-dimensional residue as a chordal companion, distinct from the conference cubic reconstructed in Papers I and III but lying in the same two-dimensional A5-invariant pencil. The chordal cubic is singular along a rational normal quartic. Its twelv…
Cyber Delinquency poses a significant challenge in India's rapidly expanding digital ecosystem, particularly empasizing on juveniles who have a greater tendency to deviate and start doing unlawful act. The dependence on technology has led to new and evolving crimes especially done by youth such as circulating morphed videos or photos, online harassment, using artifical intelligence or deepfake te…
We propose a tabletop experiment—a threshold-based detector for anomalous gravitational effects that could arise from a hypothetical coupling between quantum branches. A hollow graphite microsphere containing a single Rydberg atom is placed on a room-temperature liquid metal surface with high surface tension. The atom is driven into a deliberately non-stationary configuration—metaphorically, like…
Article 370 of the Indian Constitution delineates the authority of Jammu and Kashmir to legislate for its residents. The provisions applicable to other states in India do not extend to Jammu and Kashmir. This report will succinctly examine the revocation of Article 370, including the rationale behind its initial implementation and its intended purpose, as it was originally conceived as a temporar…
AI for Compassion: How Large Language Models Could Support Moral Circle Expansion and Suffering Reduction examines whether large language models can support moral reflection and contribute to moral circle expansion from a suffering-focused ethical perspective. The paper explores psychological and ethical barriers to concern for suffering, considers potential mechanisms through which generative AI…
The Fourth Industrial Revolution, animated by AI, automation, digital technologies and others, will not only change many careers, but also create job opportunities as well, in countries where there can be at least 85 million jobs lost in an industry that is now likely to come, and there are still 97 million jobs to be created. This study addresses one key research question which is a battle on th…

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