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Compressed Spacetime Halo Theory (CSHT)
No full textCompressed Spacetime Halo Theory (CSHT) proposes a geometric and physically motivated alternative to particle-based dark matter models. In this framework, galactic halos are interpreted not as distributions of unseen particles, but as persistent, finite spacetime-compression structures generated during baryonic structure formation.
The theory explains flat galactic rotation curves, halo boundaries, and gravitational lensing as consequences of spacetime geometry, without modifying the fundamental field equations of general relativity or introducing new forces. CSHT is explicitly falsifiable and makes testable predictions that distinguish it from standard dark matter scenarios.
This project presents the conceptual framework, physical motivation, and observational predictions of CSHT as a late-time, structure-level theory
Employee Support for Corruption Prevention: The Roles of Organizational Ethical Context and Employee Moral Attentiveness
No full textCriterio di Chiusura e Origine (CCO)
No full textQuesto progetto OSF è uno specchio di diffusione di un’opera scientifica canonica.
Versione primaria e autorevole (DOI di riferimento): Harvard Dataverse – https://doi.org/10.7910/DVN/QMZVSY.
Questo progetto NON introduce nuove versioni, modifiche o estensioni.
Il suo unico scopo è la ridondanza, la tracciabilità temporale e la diffusione controllata.
Contenuto:
– PDF completo del trattato “Criterio di Chiusura e Origine (CCO)”
– Eventuali pacchetti di supporto (ZIP)
Autore: Pierernesto Di Paolo
Anno: 202
Case Study Appendix: Data, Events, and Spatial Validation- Case Study Appendix: Data, Events, and Spatial Validation
No full textThis appendix provides the complete dataset, event logs, and spatial validation results for the Dubai AI–IoT flood prediction case study. It includes raw sensor data, preprocessing scripts, model parameters, event catalogs, GIS layers, robustness tests, statistical protocols, and reproducibility instructions. The data covers the period 2019–2024 and is structured to support independent validation and replication of the study’s findings
Do Diaspora Engagement Policies Lead to an Increase in Remittance Inflows in Developing Countries?
No full textThis study empirically investigates the relationship between Diaspora Engagement Policies (DEPs) and remittance inflows in developing countries, addressing a critical gap in the literature where this relationship has been widely assumed but rarely tested with rigorous quantitative methods. Using a comprehensive dataset spanning 60 developing countries from 1996-2022, this research employs a mixed-methods approach combining Propensity Score Matching (PSM), Mahalanobis Distance Matching, and Regression Analysis to examine whether DEPs effectively enhance remittance inflows while controlling for key economic and political factors, including GDP, Inflation, and Political Stability.
The analysis reveals findings that challenge simplistic assumptions about DEP effectiveness. PSM results indicate a positive Average Treatment Effect on the Treated (ATT) of 2.22%, suggesting that countries with formal DEPs experience remittance inflows approximately 2.2 percentage points higher than comparable countries without such policies. This finding is corroborated by Mahalanobis Distance Matching, which yields a similar ATT of 2.13%. However, regression analysis produces mixed results: while Pooled OLS models suggest a statistically significant positive association (coefficient = 1.4472, p < 0.001), Random Effects models accounting for unobserved country-specific heterogeneity find no statistically significant relationship (coefficient = 0.8698, p = 0.741).
The study's findings indicate that while DEPs may create enabling environments for remittance flows through improved financial infrastructure and enhanced migrant-homeland connections, their effectiveness is contextual and insufficient as standalone interventions. GDP emerges as a significant predictor, with higher-income developing countries showing different remittance patterns, while inflation demonstrates a complex, potentially bidirectional relationship with remittance flows. Political stability, though theoretically important, shows inconsistent statistical significance across models.
These results have important implications for development policy and practice. For policymakers, the findings suggest that DEPs should be implemented as part of comprehensive development strategies rather than isolated interventions, complemented by broader economic reforms and institutional strengthening. For the academic community, this research provides the first systematic empirical examination of the DEP-remittance relationship, establishing a methodological framework for future studies while highlighting the need for a clearer understanding of diaspora engagement mechanisms
A Local Scale–Filtered Interface for Atomic Short–Range Effects
No full textThis work presents a geometric and elastic interpretation of atomic short-range effects within the Methane Metauniverse (MMU) framework. Atomic binding, hyperfine structure, and the Lamb shift are shown to arise from a local overlap region between interacting cells (S-node), interpreted as a real, finite spacetime deformation rather than a point-like interaction.
A scale-filtered interface is proven to be necessary by muonic hydrogen data, excluding contact-type couplings. The reduced mass is identified as the effective inertia of the collective local deformation, providing a unified physical interpretation of binding energy and short-range corrections.
The approach does not replace standard quantum electrodynamics but offers an ontological explanation for why its precision results remain finite and stable. The analysis is restricted to hydrogenic two-body systems and provides clear experimental kill tests for falsification
How Analytic Approaches Shape Deception Detection Results: A Comparison of Raw Percentage and Signal Detection Metrics
No full textHuman deception detection can be both poor in an absolute sense and, statistically, substantially better than chance. This empirical paradox is documented and explored in the present article by comparing raw percentages and signal detection metrics in a reanalysis of fourteen prior deception detection experiments (total N = 2,349 respondents; 32,776 truth-lie judgments from 5 different countries). We show that different analytic approaches applied to the same data can yield inconsistent or mixed findings. Measures of raw percent-correct accuracy and sensitivity are nearly perfectly correlated yet are open to very different descriptive interpretations. In contrast, raw and signal detection estimates of bias diverge, indicating competing interpretations of human judgment error. We advocate for avoiding simple face-value interpretations of both approaches and embracing multiple analytic approaches simultaneously. A new R package, liaR, is presented to facilitate raw and signal detection calculations in parallel
سر بناء الهرم الاكبر كاملا
No full textعلمان الكثير عن بناء الهرم الاكبر واختلفت النظريات الخيالية انطلاقامن معضلات داخل البناء لكن البحث يركز هنا على تبسيط العملية البنائة وشرح كل مايحيط بها بشكل بسيط يرسم الصورة كاملة لكى ينجلى الغموض اخيرا حول احدى الاغاز التى حيرت العال
Exploitation Versus Exploration in Technology Search Strategies: A Machine Learning Replication of Morandi Stagni et al. (2021) “A Bird in the Hand Is Worth Two in the Bush”
No full textThis study replicates the instrumental variables (IV) analysis from Morandi Stagni et al. (2021), “A bird in the hand is worth two in the bush: Technology search strategies and competition due to import penetration,” which examines how import penetration affects firms’ technology search strategies, distinguishing between exploration (new knowledge) and exploitation (refining existing knowledge). We replicate this work to interrogate its assumptions, including the exogeneity of instruments (tariffs and exchange rates) affecting search only through import penetration, the linearity of effects, potential omitted variable bias from domestic confounders (e.g., firm size, R&D intensity, domestic competition), and sample biases toward larger firms due to missing data filters, which may limit generalizability in complex global trade domains.
Employing the original IV method in R with publicly available datasets (NBER Patent Data, CRSP-Compustat, and Peter Schott’s trade data) for U.S. manufacturing firms from 1991 to 2006, we yield 5,076 firm-year observations from 319 firms, closely matching the original after sales adjustments. We extend the analysis using XGBoost machine learning to assess variable importance in a non-linear, multivariate context, excluding tautological variables (e.g., total_cites, patent_stock_lag).
The IV replication successfully reproduces the original outcomes: increased import penetration, instrumented by tariffs and exchange rates, significantly reduces technological exploration (mean = 0.038) and increases exploitation (mean = 0.962) across 3,259 observations with non-zero citations.
Surprisingly, the XGBoost extension reveals that import penetration adds minimal predictive power (not in the top 10), with firm fundamentals (e.g., xrd, sale, capx) and domestic competition metrics (total_sim, hhi) dominating rankings—China-specific penetration ranks modestly (#8–#9). This coherently links to the original’s assumptions by highlighting omitted confounders and non-linear interactions that overstate foreign shocks’ causal role, implying domestic and internal drivers primarily shape search strategies in global environments and calling for nuanced policies beyond trade protections
Color stability of lithium disilicate compared with translucent zirconia: a systematic review protocol
No full textThis project contains the protocol of an in-vitro systematic review evaluating and comparing the color stability of lithium disilicate and translucent zirconia dental ceramics