Jesse Daniel Brown

Armstrong Atlantic State University | Armstrong · Department of Biology

This paper refines and expands a discrete "digital physics" model of the universe, in which spacetime is represented by a sequence of discrete frames (or states). We incorporate: • Subparticle Metatags: Discrete metadata encoding quantum states, energies , and momenta of fundamental subparticles in each spacetime pixel. • Angular Momentum: A local...

This paper presents an anisotropic equation of state (EoS) for modeling finite-density black holes, addressing the singularity problem in classical general relativity within a discrete spacetime framework. The proposed EoS relates radial, tangential, and azimuthal pressures to the energy density, incorporating adjustable parameters to represent ult...

This paper expands upon and refines a model that introduces innovative concepts such as metatags, temporal crystals, quantum tunneling, and quantum scarring. These ideas offer a profound framework for understanding the discrete nature of the universe and its evolution. We formalize these concepts and integrate them with a frame-based model of a dis...

This research presents a rigorous mathematical and numerical validation of a finite-density black hole model. The study introduces an energy density profile and anisotropic pressure equations that avoid singularities at the core while adhering to the physical constraints of general relativity and quantum corrections. The scalar field ϕ(r) and dynam...

We propose a theoretical framework addressing the singularity problem in black holes by introducing finite-density cores composed of ultra-dense matter. By modifying Einstein field equations with a scalar field representing quantum corrections and defining an anisotropic equation of state. This work explores the implications of ultra-dense structur...

This paper presents an equation of state (EoS) to model finite-density black holes, addressing the singularity problem in classical general relativity. By introducing an anisotropic EoS, we establish a framework where radial and tangential pressures are functions of energy density, ensuring finite-density cores under extreme conditions. The propose...

This comprehensive analysis fleshes into the multifaceted landscape of autonomous shipping, artificial intelligence (AI) integration, and maritime cybersecurity. The document explores historical reflections on maritime evolution, navigates the implications of autonomy in maritime operations, considers the convergence of terrains in transportation,...

This study investigates the knowledge and perceptions of AI, agents in AI, and AI communities among 6295 participants interviewed by the director of ethics at D & J IDIOMAS between 2017 and 2023. Verbal consent was obtained, and participants were informed about the purpose of the study, including the recording of their answers for publication. Find...

This study investigates the knowledge and perceptions of AI, agents in AI, and AI communities among 6295 participants interviewed by the director of ethics at D & J IDIOMAS between 2017 and 2023. Verbal consent was obtained, and participants were informed about the purpose of the study, including the recording of their answers for publication. Find...

In a rapidly evolving industry like pharmaceutical manufacturing, the introduction of automation technologies and stringent Quality Assurance (QA) protocols have revolutionized production efficiency and quality control. This course, "Advanced Pharma Manufacturing Process Automation and QA Validation," stands at this intersection, aiming to develop...

Speed and efficiency are paramount during all stages of development, including feasibility management; therefore, in feasibility research, the establishment of laboratories and procurement of research equipment remain tethered to traditional, time-consuming processes. This paper proposes a transformative approach that harnesses the power of edge co...

This book is more than just the story of one recycling center—it's a roadmap for organizations, innovators, and environmentalists worldwide who aspire to integrate AI into their operations and make a positive difference. It is an exploration of the synergy between technology and sustainability, showcasing how AI can be a powerful ally in our battle...

This document introduces an advanced AI system that amalgamates Bi-Directional Machine Learning, Business Integration Machine Learning (BIML2), Meta-Learning for Compositionality (MLC), GPT-4 TURBO, and Sparse Latent Representation Attention (S-lora) technology, enhanced by ChatDev and the Algorithm of Thought (AoT). This system represents a paradi...

a 22 page document describing an anlysis of Tiffany & Company before and after the takeover of Bernald Arnault. It describes the global implications of effective management and leadership training programmes, corporate governance opportunities for improvement in the Brazilian retail. The document describes the reviews of hundrends of employees and...

The swift emergence of autonomous shipping stands on the brink of transforming the global landscape of trade and transportation. While it carries the potential for significant advancement, it unearths critical challenges, chiefly in cybersecurity. This chapter embarks on a thorough analysis of the risks autonomous ships face from cyber-attacks, hig...