Bernt
6989a98d75
- Arkitektur: docs/auth/passwordless-architecture.md - Backend: iom/quixzoom-auth-service/ (FastAPI + Redis) - Webb: quixzoom-market-pages/se/login/ (QR-kod + polling) - App: iom/quixzoom-app/src/features/auth/ (push + deep links) Flöde: QR-kod → app-godkännande → webb-inloggad
350 lines
21 KiB
HTML
350 lines
21 KiB
HTML
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<body>
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<nav aria-label="Main navigation">
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<a class="nav-logo" href="https://landvex.com/">← Landvex</a>
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<a class="lv-btn lv-btn--outline" href="/contact/">Contact →</a>
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</nav>
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<div class="breadcrumb">
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<a href="https://landvex.com/">Landvex</a>
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<span class="sep">/</span>
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<a href="/use-cases/">Use Cases</a>
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<span class="sep">/</span>
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<a href="/use-cases/road-inspection/">Road Inspection</a>
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<span class="sep">/</span>
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<span>Netherlands</span>
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</div>
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<!-- HERO -->
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<section class="lv-hero">
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<div class="lv-hero-eyebrow">Road Inspection — Netherlands</div>
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<h1>Road Inspection in the Netherlands</h1>
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<p class="lv-hero-subtitle">The Netherlands operates a high-density, heavily trafficked road network across Rijkswaterstaat, provincial, and municipal authority boundaries. Landvex provides systematic road condition intelligence aligned with NEN 2767 workflows, enabling Rijkswaterstaat, provincies, and gemeenten to prioritise maintenance at network scale.</p>
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<div class="hero-ctas">
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<a class="lv-btn lv-btn--lg" href="/pilot/">Request a pilot →</a>
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<a class="btn btn-outline btn-lg" href="/contact/">Contact Landvex</a>
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</div>
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</section>
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<!-- USE CASE CARDS -->
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<section>
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<div class="lv-container">
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<div class="section-label">Capabilities</div>
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<h2 class="section-title">Road Inspection in the Netherlands — what Landvex delivers</h2>
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<p class="section-sub">Every engagement is anchored to a specific decision. Select a capability to discuss how Landvex applies it to your context.</p>
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<div class="use-case-grid">
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<a class="use-case-card" href="/contact/">
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<span class="uc-icon">󫦺</span>
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<h3>NEN 2767 Road Condition Assessment</h3>
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<p>Field observations structured to support NEN 2767 condition assessment workflows across the Dutch road network. Identify priority sections for Rijkswaterstaat and provincial authorities between formal inspection intervals.</p>
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<div>Learn more →</div>
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</a>
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<a class="use-case-card" href="/contact/">
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<span class="uc-icon">■</span>
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<h3>Gemeentelijke Road Network Surveys</h3>
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<p>Systematic pavement condition assessment across municipal road networks and fietspad infrastructure. Evidence-based input for gemeentelijk meerjarenonderhoudsprogramma planning and capital budget prioritisation.</p>
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<div>Learn more →</div>
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</a>
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<a class="use-case-card" href="/contact/">
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<span class="uc-icon">◆</span>
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<h3>Road Marking and Safety Feature Surveys</h3>
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<p>Assessment of markings, reflectors, safety barriers, and drainage across Dutch road networks. Identify non-compliant sections before CROW-standard safety audit or incident investigation.</p>
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<div>Learn more →</div>
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</a></div>
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</div>
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</section>
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<!-- COMPARISON TABLE -->
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<section>
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<div class="lv-container">
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<div class="section-label">Comparison</div>
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<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
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<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
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<table class="comparison-table">
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<thead>
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<tr>
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<th>Dimension</th>
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<th>Traditional approach</th>
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<th>Landvex</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>NEN 2767 supplement</td>
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<td>Regular inspection cycle</td>
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<td>On-demand between cycles</td>
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</tr>
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<tr>
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<td>Deployment lead time</td>
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<td>Weeks — inspection planning</td>
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<td>24–72 hours</td>
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</tr>
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<tr>
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<td>Coverage per campaign</td>
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<td>Selected network</td>
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<td>Full network</td>
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</tr>
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<tr>
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<td>MIOR data integration</td>
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<td>Manual</td>
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<td>API-ready</td>
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</tr>
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<tr>
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<td>Contractor verification</td>
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<td>Manual inspection</td>
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<td>AI-assisted remote</td>
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</tr>
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<tr>
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<td>Contradiction analysis</td>
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<td>Not standard</td>
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<td>Automated AI cross-reference</td>
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</tr>
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</tbody>
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</table>
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</div>
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</section>
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<!-- KEY DECISIONS -->
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<section class="decisions-bg">
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<div class="lv-container">
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<div class="section-label">Decision support</div>
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<h2 class="section-title">Decisions Landvex informs in the Netherlands</h2>
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<p class="section-sub">Every Landvex engagement is anchored to one or more of these decisions. We start with your question before designing the intelligence mission.</p>
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<div class="decisions-grid">
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<div class="decision-chip">
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<span class="chip-dot"></span>
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<span>RWS motorway pavement programme prioritisation</span>
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</div>
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<div class="decision-chip">
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<span class="chip-dot"></span>
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<span>Provincial MJOP maintenance allocation</span>
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</div>
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<div class="decision-chip">
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<span class="chip-dot"></span>
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<span>Gemeentelijk wegbeheer budget evidence</span>
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</div>
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<div class="decision-chip">
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<span class="chip-dot"></span>
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<span>CROW safety audit pre-screening</span>
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</div>
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<div class="decision-chip">
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<span class="chip-dot"></span>
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<span>Contractor acceptance verification</span>
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</div></div>
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</div>
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</section>
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<!-- CONTRADICTION ENGINE -->
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<section class="contradiction-bg">
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<div class="lv-container">
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<div>
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<div class="section-label">Contradiction Engine</div>
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<h2 class="section-title">Most systems confirm what you already believe.<br>Landvex finds what doesn’t add up.</h2>
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<p class="section-sub">The most actionable intelligence is contradiction. Landvex actively searches for conflicts between official narratives and observed field reality — and quantifies the confidence gap.</p>
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</div>
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<div class="contradiction-box">
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<div class="conflict-header">
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<span class="conflict-flag">⚠</span>
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<div>
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<div class="conflict-title">Narrative Conflict Detected — N207 Corridor — South Holland</div>
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<div class="conflict-desc">NEN 2767 condition score 2 indicates standard maintenance interval. Field observation is consistent with score 3 or above on three of five monitored road sections.</div>
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</div>
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</div>
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<div class="conflict-grid">
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<div class="conflict-side conflict-official">
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<div class="conflict-side-label">Official narrative</div>
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<ul><li>𘚣 NEN 2767 inspection: 24 months ago, condition score 2</li>
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<li>𘚣 Provincial maintenance programme: within MJOP</li>
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<li>𘚣 No emergency repair orders active</li></ul>
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</div>
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<div class="conflict-side conflict-observed">
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<div class="conflict-side-label">Observed reality</div>
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<ul><li>𘚧 Rut depth exceeding NEN 2767 score 3 threshold on 2.8km</li>
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<li>𘚧 Edge cracking patterns consistent with score 3+ on three sections</li>
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<li>𘚧 Drainage failure at 9 culverts outside MJOP schedule</li>
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<li>𘚧 Fietspad surface deterioration above score 3 on 5.6km</li></ul>
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</div>
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</div>
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<div class="conflict-footer">
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<span class="conflict-footer-label">Confidence in official narrative</span>
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<span class="conflict-confidence">23%</span>
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</div>
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</div>
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<div>
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<div>
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<div>🔍</div>
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<h4>Show me what I am missing</h4>
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<p>Blind spots absent from official data and internal reports</p>
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</div>
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<div>
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<div>⚖</div>
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<h4>AI Red Team</h4>
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<p>Every conclusion is challenged by a second model before delivery</p>
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</div>
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<div>
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<div>📐</div>
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<h4>Which assumptions are wrong?</h4>
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<p>Identify where your thesis conflicts with observed reality</p>
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</div>
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</div>
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