NOTICE TO PLAGIARISTS: THE ORIGINAL IS ALWAYS VISIBLE

Name: NOTICE TO PLAGIARISTS: THE ORIGINAL IS ALWAYS VISIBLE
Creator: Souday, David
Published: 2025-03-18T00:00:00+08:00

Figshare2025-03-18 更新2026-04-08 收录

数据链接：

https://figshare.com/articles/dataset/_NOTICE_TO_PLAGIARISTS_THE_ORIGINAL_IS_ALWAYS_VISIBLE/28612760/2 数据链接链接失效反馈

官方服务：

资源简介：

Hello everyone, I know that research is toughI wish you all strength and courage. This message is addressed to plagiarists, not to those who seek knowledge honestly and are willing to share and collaborate. Since the publication of ∆ngular Theory 0.0, several attempts have been made to appropriate its concepts and mathematical structures without proper acknowledgment. The latest case: Mark Serdtse (UMST-G: Informational Gravity and the Quantum Nature of Entropy, 2025). This document directly borrows fundamental ideas, mathematical frameworks, and numerical predictions from ∆ngular Theory 0.0 without explicit citation. While some terminology has been changed, the core structure remains identical :--- IDENTIFIED INTELLECTUAL REUSE1️⃣ MODIFIED FIELD EQUATIONS → ∆ngular Theory 0.0 introduces an angular tensor ∆ to modify Einstein’s equations: G_{\mu\nu} = 8\pi G \left(T_{\mu\nu} + \Delta_{\mu\nu} \right) → UMST-G introduces an "entropic tensor" Jₘⁿ, but applies the same corrections: G_{\mu\nu} = 8\pi G (T_{\mu\nu} + \alpha I_{\mu\nu} + \beta J_{\mu\nu}^{\text{entropy}}) → Structural duplication disguised under terminology shifts. 2️⃣ PREDICTIONS FOR GRAVITATIONAL WAVES → ∆ngular Theory 0.0 predicts a scalar-to-tensor frequency ratio of 0.67–0.73: f_{\text{scalar}} = \gamma f_{\text{tensor}} → UMST-G predicts the exact same range, claiming it arises from an entropic correction: f_{\text{scalar}} = \gamma f_{\text{tensor}} → Exact numerical reproduction of ∆ngular's frequency scaling, disguised under an entropic field interpretation. 3️⃣ GALACTIC ROTATION CURVES → ∆ngular Theory 0.0 explains anomalies in galactic rotation curves using an angular torsion parameter: v^4 \propto \Delta\theta_0 \cdot M_{\text{baryon}} → UMST-G introduces an entropy gradient but preserves the same mathematical structure: \Phi_{\text{eff}}(r) = \Phi_{\text{Newton}}(r) + \beta S(r) → Identical formulation of gravitational corrections, repackaged under a different name. 4️⃣ GRAVITATIONAL LENSING MODIFICATIONS → ∆ngular Theory 0.0 modifies spacetime metrics based on the structuring of ∆θ₀. → UMST-G introduces an "entropic correction" to the metric but arrives at the same distortions. → Structural equivalence hidden by semantic modifications. 5️⃣ COSMOLOGY AND THE AGE OF THE UNIVERSE → ∆ngular Theory 0.0 modifies the Friedmann equation using a fundamental angular structure: T = \frac{1}{H_0} \int_0^1 \frac{\mathrm{d}s}{s} \, \sqrt{\frac{S_{\text{eff}}(s)}{\mathcal{T}(s)}} → UMST-G modifies Friedmann’s equation by adding an entropy contribution: H^2 = \frac{8\pi G}{3} (\rho_m + \rho_r + \rho_\Lambda + \rho_S) → Identical integration structure, merely substituting angular quantization with entropy terms. CONCLUSION: IS THIS PLAGIARISM?✅ Identical conceptual framework → The ideas have been reformulated but follow the same logic. ✅ Copied equations → The angular torsion of ∆ngular has simply been replaced by an entropic field. ✅ Same numerical predictions → UMST-G arrives at exactly the same values, including the 0.67–0.73 frequency ratio. ✅ Copied methodology → Uses Prony spectral decomposition, Bayesian analysis (Bayes factor > 800), and the same observational data. VERDICT: Concealed Plagiarism, Mark Serdtse has not independently developed a new model; he has restructured ∆ngular Theory 0.0 while changing terminology. INTELLECTUAL PROPERTY & COPYRIGHT NOTICE This research is protected under Figshare & Zenodo DOI registrations, ensuring official authorship and precedence. DOI – ∆ngular Theory 0.0 10.6084/m9.figshare.28489679 10.5281/zenodo.15021677 10.5281/zenodo.15027052 Mark Serdtse: If you genuinely seek to contribute to physics rather than repackaging pre-existing ideas, it is time to act transparently and properly cite your sources. Mark Serdtse, please contact me:souday.david.research@gmail.com

各位同仁：我深知科研之路艰辛不易愿诸君皆能保有力量与勇气。 此讯息致抄袭者，而非那些诚实地探寻知识、乐于分享与协作的学者。 自《∆ngular Theory 0.0》（角理论0.0）发表以来，已有多起未经适当署名便擅自使用其概念与数学结构的行为。最新一例：马克·瑟尔茨（Mark Serdtse）的《UMST-G：信息引力与熵的量子本质》（Informational Gravity and the Quantum Nature of Entropy, 2025）。 该文档直接盗用了《∆ngular Theory 0.0》中的核心思想、数学框架与数值预测，却未给出明确引用。尽管部分术语已被修改，核心结构却完全一致： --- 已确认的知识产权盗用 1️⃣ 修改后的场方程 → 《∆ngular Theory 0.0》引入角张量∆以修正爱因斯坦场方程（Einstein’s equations）：$G_{mu u} = 8pi G left(T_{mu u} + Delta_{mu u} ight)$ → UMST-G引入了“熵张量”$J_m^n$，但采用了相同的修正形式：$G_{mu u} = 8pi G (T_{mu u} + alpha I_{mu u} + eta J_{mu u}^{ ext{entropy}})$ → 以术语替换伪装的结构复刻。 2️⃣ 引力波预测 → 《∆ngular Theory 0.0》预测标量-张量频率比为0.67–0.73：$f_{ ext{scalar}} = gamma f_{ ext{tensor}}$ → UMST-G预测了完全相同的范围，声称其源于熵修正：$f_{ ext{scalar}} = gamma f_{ ext{tensor}}$ → 以熵场诠释伪装的角理论频率缩放比例精确复刻。 3️⃣ 星系旋转曲线 → 《∆ngular Theory 0.0》利用角扭转参数解释星系旋转曲线异常：$v^4 propto Delta heta_0 cdot M_{ ext{baryon}}$ → UMST-G引入了熵梯度，但保留了完全相同的数学结构：$Phi_{ ext{eff}}(r) = Phi_{ ext{Newton}}(r) + eta S(r)$ → 以不同名称重新包装的引力修正公式。 4️⃣ 引力透镜修正 → 《∆ngular Theory 0.0》基于$Delta heta_0$的结构修改时空度规。 → UMST-G为度规引入“熵修正”，却得到了完全相同的时空畸变结果。 → 以语义修改隐藏的结构等效性。 5️⃣ 宇宙学与宇宙年龄 → 《∆ngular Theory 0.0》利用基本角结构修正弗里德曼方程（Friedmann equation）：$T = frac{1}{H_0} int_0^1 frac{mathrm{d}s}{s} , sqrt{frac{S_{ ext{eff}}(s)}{mathcal{T}(s)}}$ → UMST-G通过添加熵项修正弗里德曼方程：$H^2 = frac{8pi G}{3} ( ho_m + ho_r + ho_Lambda + ho_S)$ → 相同的积分结构，仅将角量化替换为熵项。 结论：这是否属于抄袭？ ✅ 一致的概念框架 → 思想虽经重新表述，但遵循完全相同的逻辑。 ✅ 抄袭的方程 → 角理论中的角扭转仅被替换为熵场。 ✅ 相同的数值预测 → UMST-G得出了完全相同的数值，包括0.67–0.73的频率比。 ✅ 抄袭的方法论 → 采用了普龙尼谱分解（Prony spectral decomposition）、贝叶斯分析（贝叶斯因子>800）以及相同的观测数据。 裁定：隐蔽抄袭，马克·瑟尔茨并未独立开发新模型；他仅通过修改术语重构了《∆ngular Theory 0.0》。 知识产权与版权声明 本研究已通过Figshare与Zenodo平台的数字对象标识符（DOI）注册进行保护，确保官方作者身份与优先权。 DOI – 《∆ngular Theory 0.0》：10.6084/m9.figshare.28489679、10.5281/zenodo.15021677、10.5281/zenodo.15027052 马克·瑟尔茨：若你真的希望为物理学领域做出贡献，而非重新包装既有思想，此刻应当秉持透明原则，正确标注你的引用来源。 马克·瑟尔茨，请联系我：souday.david.research@gmail.com

提供机构：

Souday, David

创建时间：

2025-03-18

<b>NOTICE TO PLAGIARISTS: THE ORIGINAL IS ALWAYS VISIBLE</b>

资源简介：

相关数据集