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	<title>UniResearch Community | Ping Lu | Favorites</title>
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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>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>Zhen Xie posted an update: A qualified literature review is not just a simple [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/516/</link>
				<pubDate>Fri, 21 Aug 2026 14:01:22 +0800</pubDate>

									<content:encoded><![CDATA[<p>A qualified literature review is not just a simple summary of existing papers. It requires systematic sorting, comparative analysis and research gap summarization. How do you structure your literature review to make it logical and insightful?</p>
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									<slash:comments>3</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>Dylan Rogers posted an update: Just wrapped up a major round of journal revisions. [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/416/</link>
				<pubDate>Thu, 20 Aug 2026 10:18:52 +0800</pubDate>

									<content:encoded><![CDATA[<p>Just wrapped up a major round of journal revisions. One lesson learned: address every single reviewer comment explicitly, even when you disagree. Polite, evidence‑backed rebuttals work far better than defensive responses. What’s your best revision advice for early‑career researchers?</p>
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									<slash:comments>3</slash:comments>
				
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