What is Koray Tugberk GUBUR Semantic SEO Course for Topical Authority for Cheap?
Semantic SEO is not taking questions from Google SERP, or imitating your competitor. Semantic SEO is not scraping PAA questions, or taking entities from Wikipedia. Semantic SEO is not focusing on keywords, and search demand. Semantic SEO is not focusing on semantics of concepts, and forgetting semantics in query language.
Semantic SEO is not the process of repeating same old traditional methods, and labeling them with topical authority. Since, I published the first Topical Authority SEO Case Study, everyone uses the concepts without understanding them truly. The Semantic SEO Course is created to teach fundamentals and essentials of Topical Authority methodology.
The essentials of Semantic SEO are improving and increasing click satisfaction based on possible and related search activities of users that come from their semantic nature by using visual, and textual semantics for written and designed web documents.
SAMPLE:
What You’ll Learn In Topical Authority Semantic SEO (Fundamentals) Course
87 Semantic SEO Lectures (9 Hours, 13 Minutes, 27 Seconds) from Zero to Hero
- Develop Comprehensive Topical Maps for Enhanced Ranking Performance
- Analyze and Evaluate Top-performing Topical Maps in Current Rankings
- Gain Expertise in Key Components of Effective Topical Map Design
- Boost Relevance and Responsiveness for Increased Visibility
- Outperform Established Authorities through Advanced Semantic Search Engine Optimization Techniques.
This comprehensive course consists of 87 in-depth lectures, totaling 9 hours, 13 minutes, and 27 seconds of content, designed to take you from novice to expert in semantic search engine optimization. There is no refund implemented in Semantic SEO Course, because the mindset, and approach will change your life.
Acquire knowledge from the pioneer of Topical Maps and Topical Authority in SEO Directly
Develop Effective Semantic Content Networks for Dominating Your Niche
- Master the Fundamentals and Practical Applications of Topical Authority
- Gain Insight into the Importance of Topical Coverage and Historical Data
- Create Semantically Optimized Content Briefs for Maximum Impact
- Comprehend Algorithmic Enhancements for Improved Content Network Performance
Acquire knowledge directly from the pioneer of Topical Maps and the Topical Authority Approach for SEO, ensuring a solid foundation in cutting-edge techniques and industry best practices.
Utilize Algorithmic Authorship and Content Engineering Techniques for Topical Authority
- Comprehend the Principles of Algorithmic Authorship Rules
- Apply Microsemantics to Boost Relevance and Responsiveness in Content Creation
- Optimize Content Networks Utilizing Macro and Micro Contexts
- Leverage Search Engine Algorithms to Outperform Search Quality Teams
- Gain In-depth Understanding of Search Engine Principles, Mirroring the Expertise of Their Engineers
Gain a competitive edge in SEO by mastering the principles of algorithmic authorship rules and applying macro and microsemantics to increase content relevance and improve responsiveness.
Koray Tugberk GUBUR Semantic SEO Course for Topical Authority Index
🖿 Koray Tugberk GUBUR – Semantic SEO Course for Topical Authority
- 📄 00-1-A Non-formal Biography of Your Teacher.mp3 (10.42 MB)
- 📄 00-2-Introduction (Guide for Semantic SEO Lectures).mp4 (91.87 MB)
- 📄 00-3-Semantic SEO and Topical Authority Instructions.mp4 (357.65 MB)
- 📄 01-Lecture 1 – Introduction to Koraynese (Koray’s Framework) (5 Min.).mp4 (60.67 MB)
- 📄 02-Lecture 2 – Introduction to Query Semantics (5 Min.)(1).mp4 (42.99 MB)
- 📄 03-Lecture 3 – Introduction to Real Topical Maps (6 Min.).mp4 (85.16 MB)
- 📄 04-Lecture 4 – Topical Map Components (6 Min.).mp4 (79.53 MB)
- 📄 05-Lecture 5 – Central Entity, Central Search Intent, and Site-wide Ngrams (5 Min.).mp4 (185.46 MB)
- 📄 06-Lecture 6 – Processed and Raw Topical Maps (Macro – Micro Contexts) (6 Min.).mp4 (195.71 MB)
- 📄 07-Lecture 7 – Topic Distillation with Information Architecture (6 Min.).mp4 (180.81 MB)
- 📄 08-Lecture 8 – Context Signals in Title Tags and Decsriptions (5 Min.).mp4 (170.61 MB)
- 📄 09-Lecture 9 – Macro-Micro Context with Main and Supplementary Content (6 Min.).mp4 (63.33 MB)
- 📄 10-Lecture 10 – Context Specification with IR Zones (4 Min.).mp4 (157.87 MB)
- 📄 11-Lecture 11 – Publication and Refreshment Frequency (Momentum) (6 Min.).mp4 (67.81 MB)
- 📄 12-Lecture 12 – Production Efficiency and Lean Management (2 Min.).mp4 (63.58 MB)
- 📄 13-Lecture 13 – Basic Algorithmic Authorship Instructions (4 Min.).mp4 (141.38 MB)
- 📄 14-Lecture 14 – Koray’s Frame Work (Context is Everything) (4 Min.).mp4 (202.97 MB)
- 📄 15-Lecture 15 – Contextual and Knowledge Domains (5 Min.).mp4 (181.30 MB)
- 📄 16-Lecture 16 – Attribute Filtration and Criterias (3 Min.).mp4 (120.16 MB)
- 📄 17-Lecture 17 – Root of Semantic Content Network (4 Min.).mp4 (253.27 MB)
- 📄 18-Lecture 18 – Contextual Vector and Question Generation (6 Min.).mp4 (359.53 MB)
- 📄 19-Lecture 19 – Root, Rare, Unique Attributes for Question Generation (5 Min.).mp4 (65.48 MB)
- 📄 20-Lecture 20 – Question Generation, Ranking and Canonicalization (6 Min.).mp4 (209.66 MB)
- 📄 21-Lecture 21 – Contextual Structure (4 Min.).mp4 (200.10 MB)
- 📄 22-Lecture 22 – Contextual Coverage and Contextual Flow (7 Min.).mp4 (194.81 MB)
- 📄 23-Lecture 23 – Contextual Connections and Bridges (Clickability) (5 Min.).mp4 (296.35 MB)
- 📄 24-Lecture 24 – Relevance Configuration and Responsive Construction (Koray’s Framework) (6 Min.).mp4 (307.02 MB)
- 📄 25-Lecture 25 – Large Language Models and Semantic Algorithms of Google (12 Min.).mp4 (186.15 MB)
- 📄 26-Lecture 26 – Semantic Content Item Brief Template (Sensing Content Network) (6 Min.) (2).mp4 (205.31 MB)
- 📄 27-Lecture 27 – Examining Initial, Past, and Live Results with Semantic SEO Concepts (4 Min.).mp4 (34.94 MB)
- 📄 28-Lecture 28 – Outranking Established Authorities with 27 Articles (Essence of Topical Maps) (4 Min.).mp4 (212.88 MB)
- 📄 29-Lecture 29 – Prioritization of Topics with Attribute Filtering (5 Min.).mp4 (148.61 MB)
- 📄 30-Lecture 30 – Information Tree and Sub-site Retrieval (Sensing Importance) (5 Min.).mp4 (212.08 MB)
- 📄 31-Lecture 31 – Creation of Topical Map with Annotational Semantics (5 Min.).mp4 (183.21 MB)
- 📄 32-Lecture 32 – Signalling the Macro-Context with IR Zones (3 Min.).mp4 (104.00 MB)
- 📄 33-Lecture 33 – Limits and Optimization of Momentum (5 Min.).mp4 (303.03 MB)
- 📄 34-Lecture 34 – Central Entity and Source Context (Quality Nodes) (6 Min.).mp4 (279.96 MB)
- 📄 35-Lecture 35 – Contextual Vector Construction from Different Web Sources (5 Min.).mp4 (276.18 MB)
- 📄 36-Lecture 36 – Macro and Micro Contextual Vectors (7 Min.).mp4 (396.96 MB)
- 📄 37-Lecture 37 Supplementary and Main Contnet (6 Min.).mp4 (208.72 MB)
- 📄 38-Lecture 38 – Contextual Hierarchy and Connections (6 Min.).mp4 (308.75 MB)
- 📄 39-Lecture 39 – Contextual Structure Analysis and Flow (6 Min.).mp4 (225.20 MB)
- 📄 40-Lecture 40 – Contextual Structure with Algorithmic Rules (6 Min.).mp4 (239.12 MB)
- 📄 41-Lecture 41 – Extractive and Abstractive Summary (8 Min.).mp4 (256.49 MB)
- 📄 42-Lecture 42 – Contextual Structure for Entities from Same Class (7 Min.).mp4 (200.62 MB)
- 📄 43-Lecture 43 – Contextual Border (6 Min.).mp4 (219.29 MB)
- 📄 44-Lecture 44 – Microsemantics (7 Min.).mp4 (179.67 MB)
- 📄 45-Lecture 45 – Predicates, Nouns, and Distributing Contextual Relevance (6 Min.).mp4 (235.45 MB)
- 📄 46-Lecture 46 – Conditional Synonym Phrases in Macro Contexts (6.5 Min.).mp4 (194.57 MB)
- 📄 47-Lecture 47 – Contextual Consolidation within Vectors (8 Min.).mp4 (300.83 MB)
- 📄 48-Lecture 48 – Knowledge-base Construction within Definitions (5 Min.).mp4 (196.21 MB)
- 📄 49-Lecture 49 – Balancing Contextual Coverage (6 Min.).mp4 (230.24 MB)
- 📄 50-Lecture 50 – Structuring Context with Macro and Micro Semantics (4 Min.).mp4 (116.98 MB)
- 📄 51-Lecture 51 – Turning Queries into Headings (5 Min.).mp4 (159.39 MB)
- 📄 52-Lecture 52 – Including Answer Terms with Contextual Flow (6 Min.).mp4 (218.22 MB)
- 📄 53-Lecture 53 – Matching and Signalling Anchor Text Terms (4 Min.).mp4 (118.21 MB)
- 📄 54-Lecture 54 – Using Boolean Questions in Queries (5 Min.).mp4 (188.90 MB)
- 📄 55-Lecture 55 – Consolidating Contextual Relevance (6 Min.).mp4 (193.48 MB)
- 📄 56-Lecture 56 – Using Antonyms for Contextual Bridges (6.30 Min.).mp4 (231.94 MB)
- 📄 57-Lecture 57 – Phrase Sequences and Distributional Semantics (3 Min.).mp4 (98.24 MB)
- 📄 58-Lecture 58 – Using Multiple Content Format in a Single Web Document (6 Min.).mp4 (213.23 MB)
- 📄 59-Lecture 59 – Lemmatization in Contextual Vector (5 Min.).mp4 (136.15 MB)
- 📄 60-Lecture 60 – Creating Information Extraction Points (6.30 Min.).mp4 (228.48 MB)
- 📄 61-Lecture 61 – Sequence Modeling and Canonical Queries (7 Min.).mp4 (172.02 MB)
- 📄 62-Lecture 62 – Reading Query Networks (6 Min.).mp4 (222.63 MB)
- 📄 63-Lecture 63 – Using Multiple Contextual Domains in Main Content (6 Min.).mp4 (206.36 MB)
- 📄 64-Lecture 64 – Connecting Attributes of Central Entity (8 Min.).mp4 (279.80 MB)
- 📄 65-Lecture 65 – Data to Website (7 Min.).mp4 (238.04 MB)
- 📄 66-Lecture 66 – Auditing Article Relevance and Responsiveness (7.30 Min.).mp4 (234.02 MB)
- 📄 67-Lecture 67 – Auditing Order of Declarations and Completeness (5 Min.).mp4 (180.59 MB)
- 📄 68-Lecture 68 – First Word Sequence (9 Min.).mp4 (216.01 MB)
- 📄 69-Lecture 69 – Auditing Distributional Semantics (7.30 Min.).mp4 (306.43 MB)
- 📄 70-Lecture 70 – Concensus and Modalities (Formal Semantics) (5 Min.).mp4 (253.57 MB)
- 📄 71-Lecture 71 – Exact Denitive and Declarative Answers (8 Min.).mp4 (165.69 MB)
- 📄 72-Lecture 72 – Using Inqusitive Semantics for Answer Routes (8 Min.).mp4 (282.13 MB)
- 📄 73-Lecture 73 – Bending Meaning and Context (Talking to Search Engine) (6.30 Min.).mp4 (201.40 MB)
- 📄 74-Lecture 74 – Constructing a Knowledge Base (Consistent E-A-V) (6.30 Min.).mp4 (221.08 MB)
- 📄 75-Lecture 75 – Represented and Representative Questions and Expansion of Evidence (5 Min.).mp4 (175.21 MB)
- 📄 76-Lecture 76 – Content Configuration with Algorithmic Authorship (9 Min.).mp4 (268.24 MB)
- 📄 77-Lecture 77 – Page and Segment-side Context, Answer, Topicality Terms (8 Min.).mp4 (257.23 MB)
- 📄 78-Lecture 78 – Question and Answer Formats with Neural Matching (6 Min.).mp4 (228.35 MB)
- 📄 79-Lecture 79 – Contextual Domains and Layers in Answer Construction (11 Min.).mp4 (327.57 MB)
- 📄 80-Lecture 80 – Creating Quality Nodes for Changing Search Engine’s Perception (17 Minutes).mp4 (533.30 MB)
- 📄 81-Lecture 81 – Topical Map Creation (With All Components) (10 Min.).mp4 (275.35 MB)
- 📄 82-Lecture 82 – Topical Map Creation for Multiple Source Context (14 Min.).mp4 (371.80 MB)
- 📄 83-Lecture 83 – Topical Map Creation with Topical Borders (17 Min.).mp4 (510.16 MB)
- 📄 84-Lecture 84 – Semantic Content Item Brief Creation for Root (17 Min.).mp4 (635.34 MB)
- 📄 85-Lecture 85 – Creating a Root for Multiple Source Context (17 Min.)(1).mp4 (520.06 MB)
🖿 Resources
- 📄 00-1-A Non-formal Biography of Your Teacher.png (117.72 KB)
- 📄 00-1-A Non-formal Biography of Your Teacher.rtf (24.73 MB)
- 📄 00-1-A Non-formal Biography of Your Teacher.txt (981.00 B)
- 📄 00-2-Introduction (Guide for Semantic SEO Lectures).png (245.30 KB)
- 📄 00-3-Fundamentals of Semantic SEO.rtf (177.63 KB)
- 📄 00-3-Mind Map.pdf (363.33 KB)
- 📄 00-4-Koray’s talk Semantic SEO and Topical Authority Instructions.docx (47.90 KB)
- 📄 00-4-Koray’s talk Semantic SEO and Topical Authority Instructions.txt (981.00 B)
- 📄 00-4-Semantic SEO and Topical Authority Instructions.png (304.23 KB)
- 📄 00.rtf (77.85 KB)
- 📄 01-Lecture 1 – Introduction to Koraynese (Koray’s Framework) (5 Min.).png (315.70 KB)
- 📄 02-Lecture 2 – Introduction to Query Semantics (5 Min.).png (290.02 KB)
- 📄 03-Lecture 3 – Introduction to Real Topical Maps (6 Min.).png (287.30 KB)
- 📄 04-Lecture 4 – Topical Map Components (6 Min.).png (292.66 KB)
- 📄 05-Lecture 5 – Central Entity, Central Search Intent, and Site-wide Ngrams (5 Min.).png (291.19 KB)
- 📄 06-Lecture 6 – Processed and Raw Topical Maps (Macro – Micro Contexts) (6 Min.).png (346.09 KB)
- 📄 07-Lecture 7 – Topic Distillation with Information Architecture (6 Min.).png (279.27 KB)
- 📄 08-Lecture 8 – Context Signals in Title Tags and Decsriptions (5 Min.).png (295.87 KB)
- 📄 09-Lecture 9 – Macro-Micro Context with Main and Supplementary Content (6 Min.).png (320.13 KB)
- 📄 10-Lecture 10 – Context Specification with IR Zones (4 Min.).png (305.31 KB)
- 📄 11-Lecture 11 – Publication and Refreshment Frequency (Momentum) (6 Min.).png (327.44 KB)
- 📄 12-Lecture 12 – Production Efficiency and Lean Management (2 Min.).png (326.37 KB)
- 📄 13-Lecture 13 – Basic Algorithmic Authorship Instructions (4 Min.).png (321.91 KB)
- 📄 14-Lecture 14 – Koray’s Frame Work (Context is Everything) (4 Min.).png (343.71 KB)
- 📄 15-Lecture 15 – Contextual and Knowledge Domains (5 Min.).png (281.84 KB)
- 📄 15.rtf (41.79 KB)
- 📄 15.txt (981.00 B)
- 📄 16-Lecture 16 – Attribute Filtration and Criterias (3 Min.).png (298.33 KB)
- 📄 17-Lecture 17 – Root of Semantic Content Network (4 Min.).png (335.46 KB)
- 📄 18-Lecture 18 – Contextual Vector and Question Generation (6 Min.).png (315.26 KB)
- 📄 19-Lecture 19 – Root, Rare, Unique Attributes for Question Generation (5 Min.).png (332.50 KB)
- 📄 20-Lecture 20 – Question Generation, Ranking and Canonicalization (6 Min.).png (317.85 KB)
- 📄 21-Lecture 21 – Contextual Structure (4 Min.).png (304.39 KB)
- 📄 22-Lecture 22 – Contextual Coverage and Contextual Flow (7 Min.).png (307.42 KB)
- 📄 23-Lecture 23 – Contextual Connections and Bridges (Clickability) (5 Min.).png (324.57 KB)
- 📄 24-Lecture 24 – Relevance Configuration and Responsive Construction (Koray’s Framework) (6 Min.).png (378.01 KB)
- 📄 25-Lecture 25 – Large Language Models and Semantic Algorithms of Google (12 Min.).png (332.03 KB)
- 📄 26-Lecture 26 – Semantic Content Item Brief Template (Sensing Content Network) (6 Min.).png (340.80 KB)
- 📄 27-Lecture 27 – Examining Initial, Past, and Live Results with Semantic SEO Concepts (4 Min.).png (351.58 KB)
- 📄 28-Lecture 28 – Outranking Established Authorities with 27 Articles (Essence of Topical Maps) (4 Min.).png (330.12 KB)
- 📄 29-Lecture 29 – Prioritization of Topics with Attribute Filtering (5 Min.).png (291.89 KB)
- 📄 30-Lecture 30 – Information Tree and Sub-site Retrieval (Sensing Importance) (5 Min.).png (328.43 KB)
- 📄 31-Lecture 31 – Creation of Topical Map with Annotational Semantics (5 Min.).png (311.25 KB)
- 📄 32-Lecture 32 – Signalling the Macro-Context with IR Zones (3 Min.).png (269.50 KB)
- 📄 33-Lecture 33 – Limits and Optimization of Momentum (5 Min.).png (323.20 KB)
- 📄 34-Lecture 34 – Central Entity and Source Context (Quality Nodes) (6 Min.).png (335.04 KB)
- 📄 35-Lecture 35 – Contextual Vector Construction from Different Web Sources (5 Min.).png (309.90 KB)
- 📄 36-Lecture 36 – Macro and Micro Contextual Vectors (7 Min.).png (304.80 KB)
- 📄 37-Lecture 37 Supplementary and Main Contnet (6 Min.).png (285.71 KB)
- 📄 38-Lecture 38 – Contextual Hierarchy and Connections (6 Min.).png (353.93 KB)
- 📄 39-Lecture 39 – Contextual Structure Analysis and Flow (6 Min.).png (303.26 KB)
- 📄 40-Lecture 40 – Contextual Structure with Algorithmic Rules (6 Min.).png (309.04 KB)
- 📄 41-Lecture 41 – Extractive and Abstractive Summary (8 Min.).png (361.10 KB)
- 📄 41.rtf (41.39 KB)
- 📄 42-Lecture 42 – Contextual Structure for Entities from Same Class (7 Min.).png (285.13 KB)
- 📄 43-Lecture 43 – Contextual Border (6 Min.).png (284.48 KB)
- 📄 44-Lecture 44 – Microsemantics (7 Min.).png (304.56 KB)
- 📄 45-Lecture 45 – Predicates, Nouns, and Distributing Contextual Relevance (6 Min.).png (331.91 KB)
- 📄 46-Lecture 46 – Conditional Synonym Phrases in Macro Contexts (6.5 Min.).png (274.98 KB)
- 📄 47-Lecture 47 – Contextual Consolidation within Vectors (8 Min.).png (313.28 KB)
- 📄 48-Lecture 48 – Knowledge-base Construction within Definitions (5 Min.).png (313.92 KB)
- 📄 49-Lecture 49 – Balancing Contextual Coverage (6 Min.).png (283.58 KB)
- 📄 50-Lecture 50 – Structuring Context with Macro and Micro Semantics (4 Min.).png (322.69 KB)
- 📄 51-Lecture 51 – Turning Queries into Headings (5 Min.).png (311.66 KB)
- 📄 52-Lecture 52 – Including Answer Terms with Contextual Flow (6 Min.).png (307.03 KB)
- 📄 53-Lecture 53 – Matching and Signalling Anchor Text Terms (4 Min.).png (303.55 KB)
- 📄 54-Lecture 54 – Using Boolean Questions in Queries (5 Min.).png (279.45 KB)
- 📄 55-Lecture 55 – Consolidating Contextual Relevance (6 Min.).png (263.26 KB)
- 📄 56-Lecture 56 – Using Antonyms for Contextual Bridges (6.30 Min.).png (293.96 KB)
- 📄 57-Lecture 57 – Phrase Sequences and Distributional Semantics (3 Min.).png (277.52 KB)
- 📄 58-Lecture 58 – Using Multiple Content Format in a Single Web Document (6 Min.).png (302.00 KB)
- 📄 59-Lecture 59 – Lemmatization in Contextual Vector (5 Min.).png (294.79 KB)
- 📄 60-Lecture 60 – Creating Information Extraction Points (6.30 Min.).png (313.75 KB)
- 📄 61-Lecture 61 – Sequence Modeling and Canonical Queries (7 Min.).png (294.53 KB)
- 📄 62-Lecture 62 – Reading Query Networks (6 Min.).png (256.01 KB)
- 📄 63-Lecture 63 – Using Multiple Contextual Domains in Main Content (6 Min.).png (300.06 KB)
- 📄 64-Lecture 64 – Connecting Attributes of Central Entity (8 Min.).png (349.23 KB)
- 📄 65-Lecture 65 – Data to Website (7 Min.).png (274.38 KB)
- 📄 66-Lecture 66 – Auditing Article Relevance and Responsiveness (7.30 Min.).png (291.76 KB)
- 📄 67-Lecture 67 – Auditing Order of Declarations and Completeness (5 Min.).png (319.08 KB)
- 📄 68-Lecture 68 – First Word Sequence (9 Min.).png (258.19 KB)
- 📄 69-Lecture 69 – Auditing Distributional Semantics (7.30 Min.).png (272.14 KB)
- 📄 70-Lecture 70 – Concensus and Modalities (Formal Semantics) (5 Min.).png (315.21 KB)
- 📄 71-Lecture 71 – Exact Denitive and Declarative Answers (8 Min.).png (290.00 KB)
- 📄 72-Lecture 72 – Using Inqusitive Semantics for Answer Routes (8 Min.).png (269.30 KB)
- 📄 73-Lecture 73 – Bending Meaning and Context (Talking to Search Engine) (6.30 Min.).png (339.59 KB)
- 📄 74-Lecture 74 – Constructing a Knowledge Base (Consistent E-A-V) (6.30 Min.).png (317.32 KB)
- 📄 75-Lecture 75 – Represented and Representative Questions and Expansion of Evidence (5 Min.).png (348.54 KB)
- 📄 76-Lecture 76 – Content Configuration with Algorithmic Authorship (9 Min.).png (292.80 KB)
- 📄 77-Lecture 77 – Page and Segment-side Context, Answer, Topicality Terms (8 Min.).png (295.44 KB)
- 📄 78-Lecture 78 – Question and Answer Formats with Neural Matching (6 Min.).png (299.72 KB)
- 📄 79-Lecture 79 – Contextual Domains and Layers in Answer Construction (11 Min.).png (336.29 KB)
- 📄 80-Lecture 80 – Creating Quality Nodes for Changing Search Engine’s Perception (17 Minutes).png (333.21 KB)
- 📄 81-Lecture 81 – Topical Map Creation (With All Components) (10 Min.).png (296.02 KB)
- 📄 82-Lecture 82 – Topical Map Creation for Multiple Source Context (14 Min.).png (306.10 KB)
- 📄 83-Lecture 83 – Topical Map Creation with Topical Borders (17 Min.).png (312.96 KB)
- 📄 84-Lecture 84 – Semantic Content Item Brief Creation for Root (17 Min.).png (321.57 KB)
- 📄 85-Lecture 85 – Creating a Root for Multiple Source Context (17 Min.).png (272.98 KB)
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