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	<title>UniResearch Community | Logan Morgan | Favorites</title>
	<link>https://community.uniresearch.ai/members/loganmorgan/activity/favorites/</link>
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				<title>Zhiqiang Peng posted an update: Resource Share
Finding clean, simple academic [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1011/</link>
				<pubDate>Wed, 09 Sep 2026 08:30:01 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Finding clean, simple academic slide templates takes extra work. Could everyone share links to open‑source slide decks they reuse for conference presentations?</p>
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									<slash:comments>2</slash:comments>
				
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				<title>Frank Nelson posted an update: Question
After your paper gets accepted or rejected, is [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/984/</link>
				<pubDate>Tue, 08 Sep 2026 12:29:35 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Question</strong></p>
<p>After your paper gets accepted or rejected, is it acceptable to contact reviewers for further discussion of their comments? Are there situations you should definitely avoid doing this?</p>
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									<slash:comments>4</slash:comments>
				
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				<title>Madelyn posted an update: Method Help
Many researchers only organise data after [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/961/</link>
				<pubDate>Mon, 07 Sep 2026 12:25:56 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Method Help</strong></p>
<p>Many researchers only organise data after paper acceptance. Poor archival practice creates reproducibility risks. What is your step‑by‑step routine to archive raw and intermediate data while the project is ongoing?</p>
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									<slash:comments>4</slash:comments>
				
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				<title>Adam Evans posted an update: Resource Share
Clean metadata is critical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/942/</link>
				<pubDate>Mon, 07 Sep 2026 07:10:31 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Clean metadata is critical for reproducibility, yet manually organising metadata is extremely time‑consuming. Are there lesser‑known lightweight open utilities you rely on for dataset metadata standardisation?</p>
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									<slash:comments>2</slash:comments>
				
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				<title>Min Pan posted an update: Full‑text reading for every paper is impossible when [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/832/</link>
				<pubDate>Wed, 02 Sep 2026 01:13:15 +0800</pubDate>

									<content:encoded><![CDATA[<p>Full‑text reading for every paper is impossible when writing a thesis. Learn to skim abstracts, conclusions and key figures first, then dive into full‑text for high‑relevance resources.</p>
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									<slash:comments>4</slash:comments>
				
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				<title>Feng Song posted an update: Research Experience Sharing

Digital or physical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/807/</link>
				<pubDate>Tue, 01 Sep 2026 09:48:31 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Research Experience Sharing</strong></p>
<p>Digital or physical lab notebooks are your core research asset. Record raw data, parameter settings and unexpected anomalies in real‑time instead of recalling information days later.</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Edwards posted an update: Every researcher faces paper rejection. It can [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/658/</link>
				<pubDate>Thu, 27 Aug 2026 07:14:32 +0800</pubDate>

									<content:encoded><![CDATA[<p>Every researcher faces paper rejection. It can shake confidence and stall your project momentum. What is your practical process to recover and move forward after receiving rejection notices?</p>
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									<slash:comments>7</slash:comments>
				
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				<title>Ping Lu posted an update: Finding good public datasets for method validation takes [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/608/</link>
				<pubDate>Tue, 25 Aug 2026 09:43:34 +0800</pubDate>

									<content:encoded><![CDATA[<p>Finding good public datasets for method validation takes a lot of digging. What are your go‑to high‑quality open datasets for general‑purpose method benchmarking in your field?</p>
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									<slash:comments>4</slash:comments>
				
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				<title>Anthony Anderson posted an update: I recently used UniResearch to compare paper [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/593/</link>
				<pubDate>Tue, 25 Aug 2026 02:35:36 +0800</pubDate>

									<content:encoded><![CDATA[<p>I recently used UniResearch to compare paper portfolios between two closely‑related research groups. It quickly highlighted divergent research priorities I had not noticed before. Has anyone else done similar comparative analysis?</p>
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									<slash:comments>4</slash:comments>
				
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				<title>Robert Johnson posted an update: The abstract is the first impression of a paper [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/495/</link>
				<pubDate>Fri, 21 Aug 2026 02:17:03 +0800</pubDate>

									<content:encoded><![CDATA[<p>The abstract is the first impression of a paper and determines reviewers’ initial judgment. I’ve summarized many common errors, such as redundant background introduction and unclear research contributions. What abstract mistakes do you often see in submitted papers?</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Mark Taylor posted an update: Data collection is the foundation of all empirical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/455/</link>
				<pubDate>Thu, 20 Aug 2026 14:22:25 +0800</pubDate>

									<content:encoded><![CDATA[<p>Data collection is the foundation of all empirical and computational research. However, many researchers waste months on invalid data screening, low‑quality data cleaning and inconsistent data standards. What efficient data collection and filtering workflows do you adopt to accelerate your research progress?</p>
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									<slash:comments>3</slash:comments>
				
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