submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] In the ever-evolving realm of higher education, the pronounced significance of methodically evaluating talented people in scientific and technological (S&T) fields within academic institutions has risen to paramount importance. This research endeavors to intricately dissect the manifold factors of shaping the evaluation of talented people in Chinese colleges and universities. Simultaneously, it seeks to meticulously design a comprehensive indicator system custom-tailored to this unique milieu. The dual objective encompasses unraveling the intricate dynamics underpinning the evaluation of talented people in S&T fields and invigorating talent cultivation and igniting innovation in scientific research across the academic landscape. [Method/Process] Guided by a meticulous review of both domestic and international advancements in the domain of the evaluation of talented people in S&T fields in higher education, this paper diligently dissects the intricate interplay of systems, theories, methodologies, and evaluation frameworks within Chinese academic institutions. By meticulously addressing associated challenges, conducting extensive discourse on influential variables, and meticulously examining facets of S&T prowess assessment within universities, this study culminates in the construction of an evaluation indicator system tailored to the unique nature of institutions of Chinese higher education. [Results/Conclusions] The findings echo the existence of critical gaps in the ongoing evaluation of talented people in S&T fields within Chinese universities. These noteworthy limitations encapsulate the intricate equilibrium sought between objectivity and subjectivity, the imperative for indicators to be comprehensive yet operationally feasible, the mandate for assessment to be dynamic and timely, and the essentiality of embracing multi-dimensional evaluation. This compels us to chart a trajectory towards the future where the development of an evaluation system of talented people in S&T fields rests on the bedrock of data-driven and intelligent assessment paradigms. This envisioned system must incorporate multi-dimensional evaluation approaches, integrate behavioral assessment modalities, deploy dynamic evaluation mechanisms, and, equally, factor in dimensions of social influence, sustainability, and internationalization. As we navigate this academic journey, further empirical research and meticulous indicator validation exercises must be undertaken within the realm of the evaluation of talented people in S&T fields in Chinese higher education institutions. These empirical undertakings, by virtue of their in-depth insights, are poised to illuminate our path forward, serving as compasses guiding the development of talented people in S&T fields in China's academic sphere. The journey towards comprehensive evaluation necessitates data-driven intelligence, multifaceted assessment perspectives, and a clear alignment with the pulse of societal dynamics and global imperatives. The culmination of these efforts will invariably shape the trajectory of the progression of talented people in S&T fields, ensuring that they remain at the vanguard of innovation and advancement. In essence, the evaluation of talented people within Chinese higher education institutions is primed for an evolution characterized by acumen, innovation, and internationalization. Through the harmonious amalgamation of rigorous research methodologies and adaptive frameworks, the academic community is poised to craft a transformative path that enriches talent development, propels research breakthroughs, and fuels the advancement of knowledge-based societies.
Subjects: Psychology >> Cognitive Psychology submitted time 2020-06-22
Abstract： Depression, known as a neuropsychiatric disorder, is generally manifested as an emotional disorder. However, recent studies have shown that the visual perception processing of depressed individuals has been altered. From the perspective of visual object characteristics (e.g., contrast senstivity) and visual task paradigms (e.g., binocular rivalry), we reviewed previous studies regarding the visual processings of depressed individuals. These studies have showed that the visual perception processing of depressed individuals is impaired at different levels of the visual pathway. In the future, researchers can attempt to use tasks of visual perception processing as an objective diagnostic method on the basis of different subtypes of depression when distinguishing depression individuals from the healthy individuals.
Peer Review Status:
Awaiting Review
Subjects: Mathematics >> Applied Mathematics submitted time 2017-04-07
Abstract：研究了动态围堵嫌犯问题, 假设网络边长相等, 交巡警与嫌犯的速度相等. 建立了嫌犯移动信息更新下的交巡警调度问题的0-1线性整数规划模型, 模型利用点截集条件使调度后的警力形成围堵圈, 并对嫌犯的逃跑行为建模, 由此得到了动态围堵嫌犯问题的动态模拟模型. 算例考虑分割非等边长网络的边, 然后将分割后的网络视为等边长网络.
Peer Review Status:Awaiting Review
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2017-11-23 Cooperative journals: 《工程热物理学报》
Abstract：本文提出了一种利用LNG冷能的新型空分流程，利用LNG冷能冷却进入氮压机的下塔顶部氮气并使其节流液化，部分液体作为产品输出，部分液体流入过冷器后进入上塔顶部完成回流，节流产生的高压氮返回LNG冷能换热器补充冷能。本文采用MATLAB编程对该流程进行计算，并考虑冷热流体在临界区定压比热容随温度剧烈变化的特性,分析氮气压缩机入口温度与总压比对系统能耗、LNG冷能利用率的影响。计算结果表明：氮气压缩机入口温度的降低会同时降低氮压机耗功和LNG冷能利用率，系统等效能耗随其先降低后升高；氮气压缩机总压比的升高会增加氮压机耗功与LNG冷能利用率，但系统等效能耗随之降低；将氮气压缩机入口温度选定为准临界温度时冷能利用系统的等效能耗最低，LNG冷能的利用最高效，相较于已有文献研究结果，本研究所设计新流程的单位液体产品能耗与LNG冷能利用率等指标皆有大幅度提高。
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2017-10-30 Cooperative journals: 《工程热物理学报》
Abstract：本文提出了一种利用LNG冷能的新型空分流程，利用LNG冷能冷却进入氮压机的下塔顶部氮气并使其节流液化，部分液体作为产品输出，部分液体流入过冷器后进入上塔顶部完成回流，节流产生的高压氮返回LNG冷能换热器补充冷能。本文采用MATLAB编程对该流程进行计算，并考虑冷热流体在临界区定压比热容随温度剧烈变化的特性,分析氮气压缩机入口温度与总压比对系统能耗、LNG冷能利用率的影响。计算结果表明：氮气压缩机入口温度的降低会同时降低氮压机耗功和LNG冷能利用率，系统等效能耗随其先降低后升高；氮气压缩机总压比的升高会增加氮压机耗功与LNG冷能利用率，但系统等效能耗随之降低；将氮气压缩机入口温度选定为准临界温度时冷能利用系统的等效能耗最低，LNG冷能的利用最高效，相较于已有文献研究结果，本研究所设计新流程的单位液体产品能耗与LNG冷能利用率等指标皆有大幅度提高。
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To solve the problem that the identification effect of the target domain information is difficult to improve because of not enough samples, we will transfer the results of unsupervised learning from big data to the feature space of the target domain. [Method/process] Used the RoBERTa model, which was pre-trained with Chinese Wikipedia and other data, for transfer learning. After mapping the learning results to the target domain, DPCNN was used to aggregate and condense it, and then fine-tuned the model with part of the labeled data to complete the accurate recognition of domain information. [Result/conclusion] Compared with the model without transfer learning and the classic model TextCNN in 10 fields, the model in this paper is much better than the comparison models. After average, the precision is increased by 4.15% and 3.43%, the recall is increased by 4.55% and 3.44%, and the F1 score is increased by 4.52% and 3.44%. It shows that knowledge transfer using big data can effectively improve the information recognition effect in the target field.
Subjects: Psychology >> Experimental Psychology submitted time 2021-07-28
Abstract： Using the simplified Chinese version of the automated operation span task developed by thecurrent study and the Raven progressive matrices， we tested 102 college students． Eighty-six participants were re-tested after approximately 8 days． Results: The Cronbach’s α was 0． 670， and the testretest reliability was 0． 666． Using the Raven progressive matrices as the criterion，we found that Pearson correlation analysis showed significantly positively correlated whenever in the initial test ( r = 0． 33，P ＜ 0． 01) or the re-tested ( r = 0． 39，P ＜ 0． 001) ． Conclusion: The simplified Chinese version of theautomated version of the operation span task had good reliability and validity and was easy to operatefor users． The task can be freely downloaded from https: / /www． labxing． com /lab /695 /data． " " "
Peer Review Status:Awaiting Review
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