摘要
Abstract
Presently,scientific research is becoming increasingly active,interdisciplinary integration is deepe-ning,and artificial intelligence is rapidly entering knowledge production,reconsidering what truly constitutes high-quality research has become a matter of immediate practical relevance.This paper argues that scientific re-search should uphold four essential criteria:significance,necessity,originality,and feasibility.Significance asks whether a study is worth pursuing;necessity asks why it must be undertaken and why now;originality concerns what substantive advance it makes;and feasibility asks whether its outcomes can truly stand and be translated under scientific,technical,engineering,economic,and practical constraints.These four criteria are not isolated labels,but form a logical chain from problem formulation to the establishment of credible results.Several tendencies in current research practice deserve particular caution:replacing judgment on scientific problems with journal labels and impact factors,reversing research logic by chasing international trends and top-tier journals,packaging marginal variations as originality,and presenting ideas that lack object constraints,manufacturability,cost awareness,durability assessment,and application compatibility as"frontier break-throughs."In the age of artificial intelligence,big data,and automated research,results can be generated fas-ter,appearances of completeness can be produced more easily,and ideas can be packaged more persuasively;reiterating these four criteria is therefore not a conservative reaction against new tools,but a basic safeguard a-gainst the deviation of scientific judgment by formal abundance.For Applied Mathematics and Mechanics,reaf-firming the four criteria also means clarifying the journal's orientation:mechanics should remain the point of application,engineering goals the central guide,and applied mathematics a source of essential methodological support.关键词
科学研究/重要性/必要性/创新性/可行性/工程目标/人工智能/应用数学/力学Key words
scientific research/significance/necessity/originality/feasibility/engineering goal/artificial in-telligence/applied mathematics/mechanics分类
数理科学
