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	<title>UniResearch Community | Qiang Xia | Activity</title>
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2311/#acomment-2317</link>
				<pubDate>Mon, 26 Oct 2026 11:10:49 +0800</pubDate>

									<content:encoded><![CDATA[<p>Pooled feedback would show common rejection reasons across journals.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/ronaldwhite/" data-bb-hp-profile="279" rel="nofollow">Ronald White</a> posted an update <p><strong>Research Idea</strong></p>
<p>Rejection letters contain valuable feedback, but they are private. If authors could opt in to share de‑identified rejection comments, would this help trainees learn [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2291/#acomment-2300</link>
				<pubDate>Sat, 24 Oct 2026 12:31:58 +0800</pubDate>

									<content:encoded><![CDATA[<p>Tools can automate format checks for PDFs, images and reference files.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/richardmiller/" data-bb-hp-profile="263" rel="nofollow">Richard Miller</a> posted an update <p><strong>Resource Share</strong></p>
<p>Many journals have long checklists: file formats, figure resolution, reference style, ethics statements. Are there open scripts or tools that can auto‑scan [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted an update: Resource Share
Large multi‑institute consortia produce [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/2240/</link>
				<pubDate>Thu, 22 Oct 2026 12:28:14 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Large multi‑institute consortia produce hundreds of references. Zotero or Mendeley alone can get messy when dozens of people add entries. Are there stable shared citation workflows for big teams?</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Qiang Xia posted an update: Method Help
Circular reasoning occurs when your [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/2164/</link>
				<pubDate>Fri, 16 Oct 2026 12:30:27 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Method Help</strong></p>
<p>Circular reasoning occurs when your conclusion implicitly assumes what you are trying to prove. Authors are often blind to circular logic inside their own writing. What self‑audit steps help you spot circular argument patterns in your draft?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1788/#acomment-1813</link>
				<pubDate>Thu, 08 Oct 2026 11:10:17 +0800</pubDate>

									<content:encoded><![CDATA[<p>Walk through existing code repository structure and established data conventions together.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/yulanyu/" data-bb-hp-profile="355" rel="nofollow">Yulan Yu</a> posted an update <p><strong>Collaboration</strong></p>
<p>New master students joining existing collaborative projects face large knowledge gaps about prior work, codebases and data conventions. Good onboarding reduces [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1775/#acomment-1797</link>
				<pubDate>Thu, 08 Oct 2026 07:13:46 +0800</pubDate>

									<content:encoded><![CDATA[<p>Programmatic generation makes updating timelines after plan changes much easier.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/haicui/" data-bb-hp-profile="365" rel="nofollow">Hai Cui</a> posted an update <p><strong>Resource Share</strong></p>
<p>Gantt charts help visualise multi‑phase project schedules for proposals and progress reports. Commercial tools can be expensive. Are there good open‑source utilities for [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1716/#acomment-1734</link>
				<pubDate>Mon, 28 Sep 2026 07:14:12 +0800</pubDate>

									<content:encoded><![CDATA[<p>Be cautious of machine‑translated nuance, especially for complex argument sections.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/ganghe/" data-bb-hp-profile="334" rel="nofollow">Gang He</a> posted an update <p><strong>Question</strong></p>
<p>Occasionally you encounter important papers written in languages different from your primary working language. Machine translation helps but brings distortions. What [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1075/#acomment-1103</link>
				<pubDate>Sat, 12 Sep 2026 13:37:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Save interesting peripheral papers into reading lists, do not drop your main task to read them immediately.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-neville/" data-bb-hp-profile="12" rel="nofollow">Neville</a> posted an update <p><strong>Question</strong></p>
<p>New preprints and papers appear every single day. Constantly reading every fresh publication can fragment your focus and slow your own project progress. What personal [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/961/#acomment-978</link>
				<pubDate>Tue, 08 Sep 2026 09:13:49 +0800</pubDate>

									<content:encoded><![CDATA[<p>Write a readme file explaining every folder and file naming convention.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-madelyn/" data-bb-hp-profile="5" rel="nofollow">Madelyn</a> posted an update <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 [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/818/#acomment-841</link>
				<pubDate>Wed, 02 Sep 2026 03:46:48 +0800</pubDate>

									<content:encoded><![CDATA[<p>Need to build unified community‑wide guidance.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/juanma/" data-bb-hp-profile="329" rel="nofollow">Juan Ma</a> posted an update Generative AI can process experimental data quickly, yet researchers must prevent AI‑fabricated data. All AI‑processed steps should be transparently recorded in manuscripts.					]]></content:encoded>
				
				
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				<title>Qiang Xia posted an update: I set up alert rules inside UniResearch to [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/547/</link>
				<pubDate>Sun, 23 Aug 2026 12:28:48 +0800</pubDate>

									<content:encoded><![CDATA[<p>I set up alert rules inside UniResearch to automatically capture newly‑released papers closely related to my project. This keeps me from being “scooped” without noticing. Has anyone configured similar tracking workflows?</p>
]]></content:encoded>
				
									<slash:comments>2</slash:comments>
				
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				<title>Qiang Xia posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/508/#acomment-514</link>
				<pubDate>Fri, 21 Aug 2026 11:04:59 +0800</pubDate>

									<content:encoded><![CDATA[<p>Junior researchers may face risks of idea plagiarism if they share unfinished research too early.</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 <strong>Academic Trend Discussion</strong>

Open science has become a mainstream trend, enabling free access to papers, datasets and experimental codes. However, it also brings issues like data [&hellip;]					]]></content:encoded>
				
				
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