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	<title>UniResearch Community | Jonathan Allen | Activity</title>
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				<title>Jonathan Allen posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/938/#acomment-957</link>
				<pubDate>Mon, 07 Sep 2026 11:11:45 +0800</pubDate>

									<content:encoded><![CDATA[<p>Always test how figures look when printed in black‑and‑white.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/stevenjackson/" data-bb-hp-profile="274" rel="nofollow">Steven Jackson</a> posted an update <p><strong>Method Help</strong></p>
<p>Figures carry huge weight in academic papers. Cluttered labels, redundant subplots and poor colour choices often weaken even solid experimental results. What [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Jonathan Allen posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/572/#acomment-596</link>
				<pubDate>Tue, 25 Aug 2026 02:35:55 +0800</pubDate>

									<content:encoded><![CDATA[<p>If multiple reviewers misunderstand the same section, rewrite that part of the paper, don’t only argue in rebuttal.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/raymondgreen/" data-bb-hp-profile="296" rel="nofollow">Raymond</a> posted an update Receiving reviews where some reviewers love your work while others are quite critical is extremely common. What is your mindset and strategy for handling such divided feedback?					]]></content:encoded>
				
				
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				<title>Jonathan Allen posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/580/#acomment-589</link>
				<pubDate>Mon, 24 Aug 2026 13:50:01 +0800</pubDate>

									<content:encoded><![CDATA[<p>I first look for well‑cited review papers in that foreign domain to build basic background.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/taozhu/" data-bb-hp-profile="330" rel="nofollow">Tao Zhu</a> posted an update When reading papers outside your primary domain, unfamiliar terminology and baseline assumptions create steep barriers. What routines help you efficiently absorb cross‑discipline literature?					]]></content:encoded>
				
				
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