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	<title>UniResearch Community | Ming Hu | Activity</title>
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2051/#acomment-2072</link>
				<pubDate>Wed, 14 Oct 2026 11:09:25 +0800</pubDate>

									<content:encoded><![CDATA[<p>Simulation‑only manuscripts benefit from explicit discussion of model assumption limits.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/samuelflores/" data-bb-hp-profile="295" rel="nofollow">Samuel Flores</a> posted an update <p><strong>Research Idea</strong></p>
<p>Simulation‑only papers contain no real‑world measured experimental validation. These works can explore theoretical parameter space efficiently. But some reviewers [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2026/#acomment-2048</link>
				<pubDate>Wed, 14 Oct 2026 02:39:08 +0800</pubDate>

									<content:encoded><![CDATA[<p>Be concise; avoid long anecdotal stories inside formal acknowledgement section.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/aaronroberts/" data-bb-hp-profile="305" rel="nofollow">Aaron Roberts</a> posted an update <p><strong>Method Help</strong></p>
<p>Multi‑institute collaborative papers involve many people across different organisations. Acknowledgements need to properly recognise technical support, funding and [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1698/#acomment-1715</link>
				<pubDate>Sun, 27 Sep 2026 12:26:33 +0800</pubDate>

									<content:encoded><![CDATA[<p>Large verbatim reuse of old paragraphs normally requires explicit permission from copyright holders.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/denniscampbell/" data-bb-hp-profile="302" rel="nofollow">Dennis Campbell</a> posted an update <p><strong>Question</strong></p>
<p>Text reuse, including self‑plagiarism risks, is a confusing topic for many researchers. Different journals have different policies on re‑using your own prior writing. [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1621/#acomment-1642</link>
				<pubDate>Sat, 26 Sep 2026 02:41:34 +0800</pubDate>

									<content:encoded><![CDATA[<p>Preserve partial results from original proposal even if you pivot toward new questions.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/zhenjin/" data-bb-hp-profile="370" rel="nofollow">Zhen Jin</a> posted an update <p><strong>Question</strong></p>
<p>Many PhD projects evolve substantially over time, moving far from the initial thesis proposal. Sometimes drift brings better opportunities, but it can also create risks [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted an update: Resource Share
Converting raw experiment logs into [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1542/</link>
				<pubDate>Thu, 24 Sep 2026 02:36:27 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Converting raw experiment logs into clean publication‑ready tables is often tedious. Manual reformatting is error‑prone and time‑consuming. Are there open utilities that help automate table generation from structured experiment logs?</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1507/#acomment-1523</link>
				<pubDate>Wed, 23 Sep 2026 11:10:28 +0800</pubDate>

									<content:encoded><![CDATA[<p>Propose plausible methodological reasons for the discrepancy.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/kennethlee/" data-bb-hp-profile="276" rel="nofollow">Kenneth Lee</a> posted an update <p><strong>Method Help</strong></p>
<p>Publishing results that contradict widely cited studies can be challenging. Authors must be careful and thorough when presenting findings that conflict with [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted an update: Collaboration
Not every collaboration turns out [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1502/</link>
				<pubDate>Wed, 23 Sep 2026 02:40:10 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Collaboration</strong></p>
<p>Not every collaboration turns out productive. Some partnerships stall, while others thrive. Deciding whether to continue or wind down a research collaboration requires honest assessment. What factors help you evaluate the health of a collaboration?</p>
]]></content:encoded>
				
									<slash:comments>5</slash:comments>
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1271/#acomment-1311</link>
				<pubDate>Fri, 18 Sep 2026 01:48:29 +0800</pubDate>

									<content:encoded><![CDATA[<p>Consider the expected effort against the potential contribution.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/denniscampbell/" data-bb-hp-profile="302" rel="nofollow">Dennis Campbell</a> posted an update <p><strong>Method Help</strong></p>
<p>Researchers sometimes spend months on an idea before realising it has limited value. Early evaluation of project ideas can save considerable wasted effort. [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted an update: Method Help
Public datasets vary wildly in quality. [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1152/</link>
				<pubDate>Mon, 14 Sep 2026 03:46:05 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Method Help</strong></p>
<p>Public datasets vary wildly in quality. Some have clear documentation and known limitations; others are opaque and possibly error‑prone. What quick signals do you rely on before adopting an unfamiliar dataset?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1121/#acomment-1138</link>
				<pubDate>Sun, 13 Sep 2026 12:23:38 +0800</pubDate>

									<content:encoded><![CDATA[<p>Readers frequently rely heavily on supplementary material when building upon published work.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-arianna/" data-bb-hp-profile="2" rel="nofollow">Arianna</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Many important experiments, ablation data and proofs get moved into supplementary appendices. Yet reviewers often give supplementary material only superficial checks. [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1117/#acomment-1132</link>
				<pubDate>Sun, 13 Sep 2026 09:46:49 +0800</pubDate>

									<content:encoded><![CDATA[<p>If results are too fragmentary I prefer to collect further evidence before starting full write‑up.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/haiyuan/" data-bb-hp-profile="352" rel="nofollow">Hai Yuan</a> posted an update <p><strong>Question</strong></p>
<p>Lots of partial results appear during research. Not every partial finding turns into a full manuscript. What internal practical thresholds do you apply before committing time [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1061/#acomment-1085</link>
				<pubDate>Fri, 11 Sep 2026 08:23:57 +0800</pubDate>

									<content:encoded><![CDATA[<p>Reviewers need better guidance on how to assess dataset‑oriented submissions fairly.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/michaelwilliams/" data-bb-hp-profile="259" rel="nofollow">Michael Williams</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Dataset‑focused publications used to receive relatively little respect. Today high‑quality curated datasets can enable dozens of downstream studies. Should [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/995/#acomment-1010</link>
				<pubDate>Wed, 09 Sep 2026 07:13:29 +0800</pubDate>

									<content:encoded><![CDATA[<p>This export function saves me lots of manual copy‑paste work for survey preparation.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/franknelson/" data-bb-hp-profile="298" rel="nofollow">Frank Nelson</a> posted an update <p><strong>Resource Share</strong></p>
<p>Few users notice you can apply multi‑condition filters then export matched paper metadata as structured CSV. This enables offline statistical analysis of topic trends [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Ming Hu posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/848/#acomment-871</link>
				<pubDate>Wed, 02 Sep 2026 13:49:06 +0800</pubDate>

									<content:encoded><![CDATA[<p>Need better tools to identify low‑quality journals quickly.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/stephenking/" data-bb-hp-profile="289" rel="nofollow">Stephen King</a> posted an update Several well‑known open‑access journals have tightened peer‑review standards, responding to past criticisms of loose acceptance thresholds.					]]></content:encoded>
				
				
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