[目的]Light:Science&Applications(以下简称Light)通过对标世界顶级光学期刊,探索缩小与世界顶级光学期刊差距的对策与措施,打造我国自主建设的领军期刊,为我国一流科技期刊的建设提供参考和借鉴.[方法]通过与同领域的世界顶级光学期刊Nature Photonics对标,分析Light和Nature Photonics在发文体量、总被引频次、辐射范围、作者分布和尖端论文方面的数据.[结果]Light围绕发现的两刊在引领科学研究、深入科学家群体和加速科学传播这三个方面的差距,自受"中国科技期刊卓越行动计划"(以下简称"卓越计划")资助以来,通过组织前沿热点和交叉学科专题,配合科学界重大事件引导科学研究;深入科学家群体,发掘高价值综述及重要学术成果;建设文章传播推广脉络,举办线上学术活动,建设高影响力学术期刊公众号等创新方式缩小差距.[结论]Light作为"卓越计划"领军期刊,深知肩负的责任和使命,要从期刊建设方面真正起到领军的作用.在"卓越计划"的支持下Light不断对标世界顶级光学期刊,并探索世界一流科技期刊的建设方法,逐步缩小与世界顶级光学期刊的差距.

[目的]了解国际学术出版领域同行评议的现状、进展、发展特点,把握其发展方向与脉络,为国内学术期刊同行评议的发展提供参考和借鉴.[方法]以案例分析为主线,辅之以文献调研、比较分析的方法,对国际学术出版领域同行评议实践进行探索,分析其发展特点,探究其趋势和规律.[结采]国际学术出版领域同行评议呈现多样化发展的趋势,同行评议参与主体多元化、组织形式多样化,多边合作不断加深,人工智能等新技术的应用日益广泛,对同行评议的认证和激励机制日益完善,对审稿人的同行评议技能培训更加全面、系统,对同行评议中的学术失当行为的监督和惩戒力度不断增强.[结论]同行评议各方参与者正协同努力,通过流程再造、理念渗透、智能技术应用、政策法规指导、专业技能培育,不断提高同行评议的质量、效率、透明度、公信力,使同行评议专家更好地发挥学术出版质量把关者的作用.未来,同行评议将继续扮演学术出版质量控制的重要角色.随着理念的提升、技术的进步、操作的规范、开放科学实践的深入发展,同行评议必将向着更加客观、公平、透明、智能的趋势发展.

[目的]探索面向国际一流期刊的科技期刊可持续发展之路,为我国科技期刊国际化建设和可持续发展提供参考.[方法]以Light:Science & Applications为例,从期刊国际化建设、集约化管理、办刊模式、媒体融合出版、服务科研等方面总结面向国际一流期刊的办刊经验,提出我国科技期刊国际化可持续发展建议.[结果]通过卓有成效的办刊实践,Light:Science & Applications的发文量年均递增40％,JCR影响因子连续4年保持在13以上,位列国际光学期刊影响因子排行榜前三,期刊影响力和国际地位稳固提升.[结论]Light:Science & Applications的办刊思路和模式可为新形势下面向国际一流期刊的我国科技期刊可持续发展提供一些参考与借鉴.

To facilitate noninvasive detection of human triglyceride (TG) in blood, near infrared spectroscopy (NIRS) was applied to quantitatively analyze the TG level of single person. By optimizing the proper NIRS detection band (5 700 similar to 5 600 and 4 600 similar to 4 400 cm(-1)) in in-vitro experiment, preferably designing the fiber probe, and comparatively evaluating several preprocessing algorithms, we intend to further promote the non-invasive detection accuracy and stability of single-person TG level. Then we noninvasively collected 54 samples of spectral data from the same volunteer and made quantitative analysis for TG level. Savitzky-Golay (SG) combined with partial least squares (PLS) was confirmed to be the most robustness calibration model. The optimal analysis of the predictive 1 and 2 sets is as follows. The standard deviation (RMSEP) was 12 and 12. 8 mg . dL(-1), respectively; the relative standard deviation (RSD) was 16. 25% and 17. 33%, respectively. The prediction accuracy was ideal and able to be used for routine monitoring of single TG. In view of the well performance of SG-PIS model in non-invasive detection of single-person TG level and the trend of daily variation, NIRS analysis technology has potential for human TG non-invasive detection and daily management.

To facilitate noninvasive diagnosis of anemia, high-performance and portable near infrared (NIR) spectrometer for human blood constituents was designed and fabricated based on linear variable filter (LVF).Meanwhile, the performance of support vector regression (SVR) model for quantitative analysis of human hemoglobin (Hb) was investigated.Spectral data were collected noninvasively from 100 volunteers by self-designed LVF-NIR spectrometer, then divided into calibration set, validation set 1 and 2.To establish a robust SVR model, grid search method was applied to optimize the penalty parameter and kernel function parameter c=5.28, g=0.33.Then, Hb levels in the validation 1 and 2 sets were quantitatively analyzed.The results showed that the root mean square error of prediction (RMSEP) were 10.20 g/L and 10.85 g/L, respectively, and the relative RMSEP (R-RMSEP) were 6.85% and 7.48%, respectively.The results indicated that the SVR model had high prediction accuracy to Hb level and adaptability to different samples, and could satisfy the requirements of clinical measurement.Based on the SVR algorithm, the self-designed LVF-NIR spectrometer has a wide application prospect in the field of non-invasive anemia diagnosis.

To optimize the accuracy of near-infrared non-invasive hemoglobin (Hb) clinical detection, high-performance instrument and prepossessing algorithm have been investigated. A near-infrared spectrophotometric system was constructed adopting InGaAs detector array with 16pixels and plane grating spectrometer to obtain high signal noise ratio (SNR) spectral data. In our experiment, we applied the device independently to collect spectra data from 91 volunteers’ fingertips non-invasively. Two prediction tests were conducted to verify the effects of preprocessing algorithms improving the accuracy of near-infrared Hb detection and exclude the occasionality of satisfactory results in a single trial. Our non-invasive Hb detection methods were based on partial least squares (PLS). In each test, PLS, MSC coupled with PLS, DOSC coupled with PLS, three methods for non-invasive Hb detection, were analyzed respectively. The results of two trials showed that only DOSC & PLS performed excellently in both predictive ability and stability, obviously better than other two methods. Relative RMSEP was 6.16% in predicting test 1, 6.08% in predicting test 2, almost reaching the requirements of clinical application. It indicates that our independent-developed high-performance instrument and the method DOSC coupled with PLS are promising in non-invasive Hb detection clinical application.