Mendeley Data Showcase

This supplementary package contains the data and supporting files used to experimental result of the figures in the manuscript. The files are organized into three categories: (A) simulation outputs, (B) processed/summarized datasets used to for simulation figures, and (C) script and other source files where applicable. (D) measured prototype wall-clock timing on the MATLAB/CPU platform in Section 6.1 as contextual reference (not an embedded-runtime predictor).

Metaverse Autopsy is a constitutional diagnosis of why the metaverse failed, why Horizon Worlds never became a genuine spatial computing environment, and why Meta spent $83.6 billion building the wrong thing. The document argues that the failure was not caused by hardware, content, pricing, or timing, but by the absence of a complete spatial computing design language — a foundational system of vocabulary, grammar, laws, and constitutional structure required for any spatial environment to succeed. In this sense, it is not a product review or a critique of virtual reality, but a metaverse autopsy: a diagnosis of failure and a solution framework for spatial computing, embodied interfaces, human sovereignty, and enterprise spatial computing. The work distinguishes the metaverse from spatial computing with precision. The metaverse is described as a surveillance-advertising architecture transplanted into three-dimensional hardware and renamed, while spatial computing is defined as a medium with constitutional requirements in which every environment must obey architecturally enforced laws rather than optional guidelines. The document establishes spatial truth as a core principle, where spatial arrangement must communicate meaning faithfully; treats ethics as architectural substrate rather than policy overlay; and frames AI governance in spatial environments as necessarily bounded, verifiable, and intrinsic to system design. As such, the publication is directly relevant to design language research, regulatory compliance, metaverse failure e.t.c. The diagnosis is developed through twelve constitutional laws of DmetriX: the Sovereignty Law, Inheritance Law, Spatial Truth Law, Singular Purpose Law, Continuous Service Law, Eloquence of Absence Law, Motion Semantics Law, Hierarchy of Intelligence Law, Trust Accumulation Law, Traveler Law, Grammar Clarity Law, and Ethical Foundation Law. The text uses the legless avatar, the simulated legs demonstration, the Personal Boundary patch, platform comparisons, low world visitation rates, early trust collapse, and the accumulation of Reality Labs losses as evidence that Horizon Worlds was structurally incapable of delivering spatial fluency, safe embodied presence, durable community, or sustained trust. The conclusion is explicit: the metaverse did not merely underperform; it was constitutionally incompatible with the medium it claimed to represent. The solution presented is the DmetriX Spatial Design System, described as a complete constitutional framework for spatial computing. This publication establishes itself as a standalone work — Metaverse Autopsy: Diagnosis of Why the Metaverse Failed and Its Solution — rather than as part of The Spatial World series, while sharing the same underlying constitutional framework. Author: Ibrahim Abdul-Rahman Adebola| DmetriX — Doctor of Metrics License: CC BY-NC-ND 4.0 Contact: dmetrixcraft@proton.me Book Series notifications: doctorofmetrics.substack.com

We aimed to investigate how tree seedlings respond to a future climate scenario 1176 simulated in growth chambers (phytotrons). We selected four widely distributed tree species from the Cerrado savanna: Qualea grandiflora (Vochysiaceae), Hymenaea stignocarpa (Fabaceae), Tabebuia aurea (Bignoniaceae) and Kielmeyera coriacea (Clusiaceae). We disposed their seeds to germinate in chambers at 28°C, and then raised the seedlings in pots filled with Red Latosol and sand (proportion of 3x1) under irrigation at 28 °C for 30 days. After that, we transferred the seedlings to plastic tubes of 1m high and of 0.1 m in diameter for the growth experiments. When the first pair of leaves appeared, 30 individuals of each species were taken for initial measures, and other 33 individuals were transferred to each phytotron, summing up a total of 96 plants per species. One of the phytotrons was set with the current climate scenario, based on the last 50 years climate data from the Cerrado where max and min temperatures was 28 °C and 18 °C, and CO2 concentration ([CO2]) was 420 ppm. The other phytotron was set with the IPCC SSP 3-7,0 prospection for the Cerrado region for 2100 (WorldClim), where max and min temperatures reached 2.5 °C higher than at current climate scenario, and [CO2] was 860 ppm. Humidity was 85 % for both phytotrons. Plants were grown for 120 days, being irrigated every two days with 120 ml of tap water. After this period, we proceeded with leaf counting of the individuals and then all plants were uprooted and taken to dry at 70 °C. After drying, plants biomass was measured by parts: total, root, shoot, and leaves.

Background: Visual–spatial ability (VSA) is important for learning and performance across healthcare professions and has been associated with anatomy performance, although findings are inconsistent. Anatomy education may also improve VSA. No known study has used predictive modeling to examine VSA and related psychological and personal factors in Doctor of Physical Therapy (DPT) students enrolled in a full-body cadaver dissection anatomy course. This study examined whether VSA, anxiety, depression, resilience, and selected personal factors predicted academic performance and whether VSA and psychological variables changed over the course. Methods: This pre–post educational cohort study used a convenience sample of first-year DPT students enrolled in a 16-week neuromusculoskeletal anatomy course incorporating full-body human cadaver dissection at a single United States university. Participants completed pre- and post-course measures of VSA using the Mental Rotations Test (MRT), anxiety using the Generalized Anxiety Disorder-7 scale (GAD-7), depression using the Patient Health Questionnaire-9 (PHQ-9), and resilience using the Brief Resilience Scale (BRS). Demographic, educational, and personal variables were also collected. Three weeks after the course, participants completed an anatomy-specific visual–spatial examination. Paired t-tests with Holm correction and Cohen’s d were used to assess pre-post changes. Predictors of academic performance were identified using least absolute shrinkage and selection operator (LASSO) regression with 10-fold cross-validation, followed by multiple linear regression. Results: Thirty-two of 60 eligible students completed all phases of the study. MRT scores increased significantly from 11.72 (SD 4.03) to 15.69 (SD 4.39) (p < 0.001, d = 0.938). PHQ-9 scores also increased significantly from 2.97 (SD 3.05) to 5.72 (SD 5.27) (p = 0.009, d = 0.603), whereas changes in GAD-7 and BRS scores were not significant. The final regression model explained 46.2% of the variance in average exam score (adjusted R² = 0.305; p = 0.023). Higher baseline depressive symptoms and lower baseline anxiety were significant predictors of higher average exam score, whereas baseline MRT score was not independently significant. Conclusions: Among first-year DPT students enrolled in a full-body dissection anatomy course, VSA improved significantly, while depressive symptoms also increased. Academic performance was moderately predicted by a multivariable model in which psychological factors appeared more influential than baseline VSA alone. These findings support a multidimensional view of anatomy success in DPT education.

With the permission of the local government, we collected SVIs for Lhasa and Tongren in 2023 and for Nyingchi in 2025. In Nyingchi and Tongren, we mounted an action camera on the front-passenger window of the motor vehicle for video recording. We also traveled to Nyingchi, China (October 2022); Mustang, Nepal (October 2024 and February 2026); Manang, Nepal (February 2026) and Ganzi Tibetan Autonomous Prefecture, China (December 2024), to conduct field research in 12 villages (Figure S1b), and captured images by walking with handheld cameras.

This publication presents the first truly complete diagnosis of spatial computing's foundational failure and introduces The DmetriX Spatial Design System — the first complete design language for spatial computing ever published. Spatial computing has failed to reach mass adoption across every hardware generation, every software platform, every development budget, and every major technology company on earth. This publication establishes that the cause is not hardware, content, pricing, or market timing. The cause is the absence of a complete design language — the foundational vocabulary, grammar, laws, and constitutional framework without which no spatial computing product can succeed regardless of technical sophistication or investment scale. The DmetriX Spatial Design System resolves this absence in full. It defines the complete vocabulary of spatial environments across twenty-five precisely named terms, governs spatial computing design through twelve architecturally enforced laws, specifies a continuous adaptivity system across four axes, provides a complete constitutional framework for every intelligent agent within spatial environments, and establishes the complete architecture of the spatial web. This publication establishes intellectual priority over the complete system under the Berne Convention for the Protection of Literary and Artistic Works across 181 countries. It is the opening pre-publication of The Spatial World — a seven-book series by Ibrahim Abdul-Rahman addressing every dimension of spatial computing design, certification, hardware implementation, enterprise deployment, service architecture, and civilisational transition. This is the foundational reference for spatial computing design language research, enterprise spatial computing procurement specification, regulatory compliance assessment, hardware manufacturer implementation, and academic citation in spatial interface design. Author: Ibrahim Abdul-Rahman | DmetriX — Doctor of Metrics License: CC BY-NC-ND 4.0 Contact: dmetrixcraft@proton.me Series notifications: https://doctorofmetrics.substack.com/

Supplementary material Figure S1. Trichoscopy in alopecia areata obtained under conventional non-polarized dermoscopy. Presence of diffuse yellow dots with regular distribution along the lesion. Figure S2. Trichoscopy in scarring alopecia obtained under conventional polarized dermoscopy. Patch of hair loss without visible follicular openings. Figure S3. Trichoscopy in scarring alopecia obtained under 405 nm near-ultraviolet light. Both images were taken using a commercially available DZ-D100 dermoscope (Casio Computer Co., Ltd., Tokyo, Japan).

This dataset contains measurements of crack densities and shear wave splitting delays in fault zones, used to analyze the relationship between micro- and macrocracking and seismic magnitude. It includes information on local geological features, stress fields, and fault properties, supporting the study of fracture scaling as potential earthquake precursors and their correlation with seismic parameters in different tectonic settings. These data support the study “On the scaling of crack density prior to earthquakes: preliminary observations and implication".

Data set for applications in the paper entitled Testing Structural Exogeneity in Spatial Models: A Nonparametric Approach

This dataset supports the bibliometric analysis presented in the article "Transformative Innovation Policy, Social Innovation, Territorial Development: A Bibliometric Analysis of Emerging Constellation of Research Traditions". It includes the validated corpus of 57 academic articles retrieved from Scopus and Web of Science, covering the intersection of transformative innovation policy, social innovation, and territorial development (2000-2025). The dataset contains the raw exports from both databases, the final cleaned corpus, and the R scripts used to conduct the bibliometric analysis, including keyword co-occurrence networks, thematic mapping, author co-citation networks, and co-authorship networks.