120 research outputs found
sj-docx-2-ict-10.1177_15347354241247061 – Supplemental material for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway
No full textSupplemental material, sj-docx-2-ict-10.1177_15347354241247061 for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway by Haiqin Liu, Shuo Yan, Ruiming Yang, Caidi Huang, Kangyue Guo, Shi Wang, Yunmei Huang, Dongyi Shen, Ying Lin, Zhiyun Cao, Hangyan Zhong, Jiumao Lin and Xuzheng Chen in Integrative Cancer Therapies</p
sj-docx-3-ict-10.1177_15347354241247061 – Supplemental material for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway
No full textSupplemental material, sj-docx-3-ict-10.1177_15347354241247061 for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway by Haiqin Liu, Shuo Yan, Ruiming Yang, Caidi Huang, Kangyue Guo, Shi Wang, Yunmei Huang, Dongyi Shen, Ying Lin, Zhiyun Cao, Hangyan Zhong, Jiumao Lin and Xuzheng Chen in Integrative Cancer Therapies</p
sj-docx-1-ict-10.1177_15347354241247061 – Supplemental material for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway
No full textSupplemental material, sj-docx-1-ict-10.1177_15347354241247061 for Jiedu Xiaozheng Yin Inhibits the Progression of Colitis Associated Colorectal Cancer by Stimulating Macrophage Polarization Towards an M1 Phenotype via the TLR4 Pathway by Haiqin Liu, Shuo Yan, Ruiming Yang, Caidi Huang, Kangyue Guo, Shi Wang, Yunmei Huang, Dongyi Shen, Ying Lin, Zhiyun Cao, Hangyan Zhong, Jiumao Lin and Xuzheng Chen in Integrative Cancer Therapies</p
Graphene: Microwave Enabled One‐Pot, One‐Step Fabrication and Nitrogen Doping of Holey Graphene Oxide for Catalytic Applications (Small 27/2015)
No full textPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/112226/1/smll201570159.pd
黃仲則寓京期間感遇詩之研究
No full text有清一代，文風大盛。不論詩詞歌賦，抑是經史樸學，無不興盛。及至康、乾二朝，大家漸出。其中尤以詩壇之中名家輩出，然而清代的詩人，往往受唐宋名家所迷，困於前代詩人的範曙中，劉大杰曾謂： 清代詩人，喜言宗派 。[1] 清代詩派，大要言之，有尊唐及宗宋二派主流，而其中，尤以四家詩說影響至鉅。所謂四家詩說是指王士禎的神韻說、沈德潛的格調說、袁枚的性靈說及翁方綱的肌理說。在此四家詩說之下，康乾詩人，鮮有不受影響。而芸芸詩人中，黃景仁可說是少數能獨樹一幟的詩人。
今觀其詩作，既沒有神韻說的空洞，又沒有格調說的泥古不化，亦沒有肌種說的堆集煩瑣。可以說，他的詩歌，較近於袁枚的性重說，此或因黃袁二人為忘年之交，彼此有詩文來往，稱頌對方，故受到性靈說所黨陶的緣故。[2] 惟其詩雖近袁子才的性靈說， 但卻沒有半點袁詩通俗淺白的弊病。
若觀乎《兩當軒集》中諸詩，字字出自肺肺，莫不充溢其個人深厚的感情。正因如此，是以仲則在生前後之文，均對其詩有極高之評價，清代翁方綱云:
然而其詩尚沈鬱青壯，鏗鏘出金石，試摘其一二語，可通風雪而泣鬼神。[3]
清包世臣亦謂:
聲稱噪一時，乾隆六十年間，論詩者推為第一。[4]
清吳嵩梁於《石溪勛講話》中，亦有提及仲則的詩：
仲則詩無奇不有，無妙不臻，如仙人張樂，音外有音；名將用兵，法外有法。[5]
清汪防亦云：
吾鄉黃仲則先生，以詩鳴乾隆中葉。[6]
又，清代邱煒云：
乾隆才子黃仲刻，詩名遠播。[7]
近人伍合曰：
我們知道，作詩要下一番苦工夫，起碼非有幾十年的磨練，詩才會好，所以古人說， 晚節漸於詩律細 ，那一點也不錯，至於天賦的，那真是絕無僅有，往上數，李太白可以算一個，往下數，那只有黃景仁了。[8]
近人君山亦云：
黃仲則在世的日子雖然不長，死時僅得三十五歲，可是，在乾隆年間甚至乾隆以後，他卻是影響清代詩壇最大的一個詩人。[9]
自以上資料可見，黃仲則的詩作在其生前及死後，均得到肯定的評價。而在他芸芸詩作中，仲則的感遇詩最為世人所重。此蓋因其身世坎呵，生活艱苦，一生奔波，卻屢不得志，是故其詩作，情感特真，感慨特深。惟論者往往忽視仲則一生最感傷悲，精神所受痛苦最深切的時期，應當是他久滯京師時，是故仲則此時期的感遇詩，亦最能作為他同類詩作的代表。故此一時期的感遇詩，是極為值得研究的。
本文的研究範圍，當以仲則滯留京師至其歿於山西解州為止。考仲則一生，自乾隆四十年冬入京後，至乾隆四十八年病死止，凡三離京師，計有四十五年遊山東，客於學政程世淳幕中；次為四十六年遊西安，往訪峽西巡撫畢況；而最後一次為四十八年三月，因債主所迫，故抱病出都，至解州病歿。除最後一次以外，餘二次出京，為時皆甚短，故可說仲則寓京時間大約前後只有九年。因此本文研究之範團亦以此段時期為主。據《爾當軒集》中所編，仲則於此段時期約有詩作三百七十多首。本文所研究之對象為其感遇詩，故凡詩題中有感遇等字眼者，自是研究對象；另外尚有其他詩歌，其題雖不涉及感遇等字眼，惟若真內容有抒感言懷者，皆視之為感遇詩，一并研究。而於三百七十多首詩歌中，合乎於感遇題材之詩歌共有一百零九首，是以研究將集中於此一百零九首詩歌，惟若有其他可資佐證之詩歌，雖非於寓京期間所作，本文亦會加以引用。而文中黃仲則在京師時的感遇詩作，將一律簡稱為感遇詩，若遇有寓京以外的感遇詩，本文將加以注明。
本文共分八個部分。除前言後語與及文末注釋及參考書籍部分外，主要內容共分為四個部分：分別為(i) 窮 ； (ii) 貧 ; (iii) 病 ; (iv) 孤 。本文希望通過這四部分，對黃仲則寓京期間的感遇詩的感遇緣起作一研究，非去有所補足，只望可資作參考之用
32. Building a Bridge for Taiwanese Literature: Foreword to the Newsletter of the National Museum of Taiwan Literature
No full textCHEMFLUOR-VAE: REVERSE DESIGN OF ORGANIC FLUOROPHORES BASED ON EXPERIMENTAL OPTICAL PROPERTIES AND VARIATIONAL AUTOENCODER
No full textOrganic fluorescent molecules with desired optical properties attracted great attention, while the rational design was hindered by unclear structure properties relationship and the lack of rapid/affordable prediction methods. With the introduction of statistics-based methods in the prediction of photophysical properties for organic dyes, reverse design of fluorophores without traversing chemical space is still challenged by the features used for current methodologies.
In this work, we construct a self-referencing embedded strings (SELFIES)-based variational autoencoder (VAE) and a prediction model, which uses the latent space as the input, for the organic fluorophores, in the absence of joint training. The VAE can reproduce the structure of midsize organic dyes with acceptable accuracy. A tree-based prediction model based on Gradient Boosted Regression Trees (GBRT) can estimate the optical properties of organic dyes with a MAE 0.134 eV for emission energy and an accuracy of 0.81 for photoluminescence quantum yield (PLQY), which is comparable with the state-of-the-art quantum-mechanical based approach, time-dependent density-functional theory (TD-DFT). The feasibility of our approach in reverse design is proved by preliminary attempts at skeleton optimization and validated by first-principles calculations. New experimental synthesized molecules demonstrated the accuracy of our prediction model. Meanwhile, due to the continuous values in the latent space, this VAE-based methodology makes gradient optimization become possible for large organic materials. Combined, our statistical learning methodology opens a new venue for the design of organic fluorophore, can also be extended to the field of organic solar cell (photo conversion efficiency, PCE) and organic field-effect transistor (conductivity)
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