<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scientia Forensis</title><link>https://scientiaforensis.pages.dev/</link><description>Recent content on Scientia Forensis</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 21 Oct 2026 16:00:00 +0000</lastBuildDate><atom:link href="https://scientiaforensis.pages.dev/index.xml" rel="self" type="application/rss+xml"/><item><title>Forensic Glass Comparison: GRIM3 Refractive Index &amp; Annealing ΔRI Differentiation</title><link>https://scientiaforensis.pages.dev/notes/forensic-glass-comparison-grim3-refractive-index-annealing-%CE%B4ri-differentiation/</link><pubDate>Mon, 19 Oct 2026 15:20:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/notes/forensic-glass-comparison-grim3-refractive-index-annealing-%CE%B4ri-differentiation/</guid><description>&lt;h2 id="1-thermal-oil-immersion--match-point-t_m">1. Thermal Oil Immersion &amp;amp; Match Point ($T_m$)&lt;/h2>
&lt;p>In automated Glass Refractive Index Measurement (GRIM3), freshly crushed glass fragments ($100 - 300\text{ }\mu\text{m}$) are immersed in calibrated silicone oil B whose refractive index $n_{\text{oil}}(T)$ decreases linearly with increasing temperature $T$ on a Mettler hot stage ($dn/dT \approx -4.0 \times 10^{-4}\text{ }^\circ\text{C}^{-1}$):&lt;/p></description></item><item><title>Probabilistic Genotyping of Complex Low-Template STR DNA Mixtures: Likelihood Ratios, Stutter Modeling &amp; Drop-Out</title><link>https://scientiaforensis.pages.dev/articles/probabilistic-genotyping-of-complex-low-template-str-dna-mixtures-likelihood-ratios-stutter-modeling-drop-out/</link><pubDate>Mon, 19 Oct 2026 08:15:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/articles/probabilistic-genotyping-of-complex-low-template-str-dna-mixtures-likelihood-ratios-stutter-modeling-drop-out/</guid><description>&lt;h2 id="1-the-likelihood-ratio-lr-framework-in-forensic-genetics">1. The Likelihood Ratio ($LR$) Framework in Forensic Genetics&lt;/h2>
&lt;p>In evaluating an evidentiary short tandem repeat (STR) electropherogram profile $E$ given reference genotype $S$ of a person of interest (POI), forensic geneticists evaluate the ratio of two conditional probabilities under mutually exclusive propositions—the prosecution proposition ($H_p$) and the defense proposition ($H_d$):&lt;/p>
&lt;p>$$LR = \frac{\Pr(E \mid S, H_p)}{\Pr(E \mid S, H_d)}$$&lt;/p>
&lt;p>For a two-person mixture where victim $V$ is a known contributor, the propositions are typically formulated as:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>$H_p$&lt;/strong>: The evidentiary DNA profile $E$ originated from the victim $V$ and the person of interest $S$.&lt;/li>
&lt;li>&lt;strong>$H_d$&lt;/strong>: The evidentiary DNA profile $E$ originated from the victim $V$ and an unknown, unrelated individual $U$ drawn at random from the relevant subpopulation (incorporating Balding-Nichols coancestry coefficient $\theta = 0.01$).&lt;/li>
&lt;/ul></description></item><item><title>Linux Kernel Memory Forensics: Detecting Loadable Kernel Module (LKM) Rootkits with Volatility 3</title><link>https://scientiaforensis.pages.dev/articles/linux-kernel-memory-forensics-detecting-loadable-kernel-module-lkm-rootkits-with-volatility-3/</link><pubDate>Sun, 18 Oct 2026 11:30:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/articles/linux-kernel-memory-forensics-detecting-loadable-kernel-module-lkm-rootkits-with-volatility-3/</guid><description>&lt;h2 id="1-volatile-memory-acquisition--order-of-volatility">1. Volatile Memory Acquisition &amp;amp; Order of Volatility&lt;/h2>
&lt;p>In accordance with &lt;strong>RFC 3227 (Guidelines for Evidence Collection and Archiving)&lt;/strong>, system physical RAM must be captured prior to disk imaging or network isolation whenever kernel-level subversion is suspected. Userland utilities (&lt;code>ps&lt;/code>, &lt;code>netstat&lt;/code>, &lt;code>ss&lt;/code>, &lt;code>lsmod&lt;/code>) rely on kernel-exported &lt;code>/proc&lt;/code> virtual filesystem structures and system calls (&lt;code>sys_getdents64&lt;/code>) that are trivially filtered by ring-0 rootkits.&lt;/p>
&lt;div class="sf-evidence-box">
 &lt;div class="sf-evidence-header">
 &lt;span class="sf-evidence-tag">TECHNICAL SUMMARY &amp;amp; PARAMETERS&lt;/span>
 &lt;span class="sf-mono">DIG-RAM-901&lt;/span>
 &lt;/div>
 &lt;div class="sf-evidence-grid">
 &lt;div>&lt;strong>Sample / Substrate:&lt;/strong> 64 GB DDR5 ECC Physical RAM Dump (LiME Format)&lt;/div>
 &lt;div>&lt;strong>Analytical Method:&lt;/strong> LiME v1.9.1 &amp;#43; Volatility Framework 3.7&lt;/div>
 &lt;div>&lt;strong>Reference Method:&lt;/strong> ISO/IEC 27037 &amp;amp; NIST SP 800-86&lt;/div>
 &lt;div>&lt;strong>Sensitivity / Range:&lt;/strong> Bit-level physical page frame inspection&lt;/div>
 &lt;/div>
 
 &lt;div class="sf-evidence-notes">
 Acquisition performed over isolated serial/network socket with immediate streaming SHA-256 digest computation to prevent disk write artifacts on the suspect volume.
 &lt;/div>
 
&lt;/div></description></item><item><title>Gunshot Residue (GSR) Classification by SEM-EDS under ASTM E1588</title><link>https://scientiaforensis.pages.dev/notes/gunshot-residue-gsr-classification-by-sem-eds-under-astm-e1588/</link><pubDate>Sat, 17 Oct 2026 13:00:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/notes/gunshot-residue-gsr-classification-by-sem-eds-under-astm-e1588/</guid><description>&lt;h2 id="1-morphological--elemental-requirements-astm-e1588">1. Morphological &amp;amp; Elemental Requirements (ASTM E1588)&lt;/h2>
&lt;p>Primer gunshot residue (pGSR) condenses from vaporized inorganic primer constituents—classically &lt;strong>lead styphnate&lt;/strong> (initiator), &lt;strong>barium nitrate&lt;/strong> (oxidizer), and &lt;strong>antimony sulfide&lt;/strong> (fuel)—producing spheroidal particles ($0.5\text{ }\mu\text{m} - 10\text{ }\mu\text{m}$) detected via Backscattered Electron (BSE) imaging.&lt;/p></description></item><item><title>Bloodstain Pattern Analysis (BPA): Angle of Impact &amp; Area of Origin Trigonometry</title><link>https://scientiaforensis.pages.dev/notes/bloodstain-pattern-analysis-bpa-angle-of-impact-area-of-origin-trigonometry/</link><pubDate>Fri, 16 Oct 2026 10:00:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/notes/bloodstain-pattern-analysis-bpa-angle-of-impact-area-of-origin-trigonometry/</guid><description>&lt;h2 id="1-elliptical-bloodstain-geometry">1. Elliptical Bloodstain Geometry&lt;/h2>
&lt;p>When a spherical droplet of blood strikes a planar target surface at an acute angle $\alpha$ ($0^\circ &amp;lt; \alpha \le 90^\circ$), momentum elongation produces an elliptical stain whose minor axis (width $W$) and major axis (length $L$, excluding satellite spines/tails) satisfy Victor Balthazard&amp;rsquo;s trigonometric relationship:&lt;/p></description></item><item><title>Quantitative GC-MS &amp; LC-MS/MS Analysis of Postmortem Redistribution in Forensic Toxicology</title><link>https://scientiaforensis.pages.dev/articles/quantitative-gc-ms-lc-ms/ms-analysis-of-postmortem-redistribution-in-forensic-toxicology/</link><pubDate>Thu, 15 Oct 2026 09:00:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/articles/quantitative-gc-ms-lc-ms/ms-analysis-of-postmortem-redistribution-in-forensic-toxicology/</guid><description>&lt;h2 id="1-mechanistic-basis-of-postmortem-redistribution-pmr">1. Mechanistic Basis of Postmortem Redistribution (PMR)&lt;/h2>
&lt;p>Following somatic death, cellular ATP depletion halts active transmembrane ion pumps, leading to progressive intracellular acidosis and lysosomal membrane autolysis. Xenobiotics sequestered at high concentrations within pulmonary parenchyma, hepatic tissue, and gastric contents diffuse down concentration gradients into the inferior vena cava, pulmonary veins, and cardiac chambers.&lt;/p></description></item><item><title/><link>https://scientiaforensis.pages.dev/readme/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://scientiaforensis.pages.dev/readme/</guid><description>&lt;h1 id="scientia-forensis-content">scientia-forensis-content&lt;/h1>
&lt;p>This repo has all the contents of Scientia Forensis&amp;hellip;&lt;/p></description></item></channel></rss>