192,214 research outputs found
Mi shou qing ning wan fang
No full text[華佗撰] ; 孫星衍校. 素女方. 秘授清寧丸方.綫裝.框16.5x11.6公分, 11行20字. 白口, 左右雙邊, 單黑魚尾. 版心鐫題名及卷次, 下鐫葉次.《華氏中藏經》分上, 中, 下卷.內封頁題"嘉慶十三年太歲戊辰[1808]春, 平津館孫氏刊版" ; 內封背頁牌記鐫"光緖乙酉[1885]夏白堤八字橋朱氏槐廬家塾珍藏". 每卷卷末有牌記"光緖甲申[1884]小春月白堤八字橋孫溪槐廬家塾", 並刻"光緖歲在閼逢涒灘國子監肄業生吳縣朱記榮校刊"據《中國叢書綜錄》(p.148)此三種收錄為"平津館叢書" ; 《華氏中藏經》內封題頁版心刻有"乙集之六"鈐"莊兆祥印", "莊兆祥".Xian zhuang.Kuang 16.5 x 11.6 gong fen, 11 hang 20 zi. Bai kou, zuo you shuang bian, dan hei yu wei. Ban xin juan ti ming ji juan ci, xia juan ye ci.《 hua shi zhong zang jing》 fen shang, zhong, xia juan.Detailed notes in vernacular field only.Detailed notes in vernacular field only.[Hua Tuo zhuan] ; Sun Xingyan jiao. Su nü fang. Mi shou qing ning wan fang.Qian "Zhuang Zhaoxiang yin", "Zhuang Zhaoxiang"
SAM Filtering Pipeline (SFP): Algorithm for the determination of integration sites from next generation sequencing data
No full textThe locus at which a vector harboring a product transgene integrates into the genome can have a profound effect on the transgene’s transcript level and the stability of the resulting cell line. In order to identify integration site(s) of a transfected vector from next generation genome sequencing data, the SAM filtering pipeline (SFP) was created. It is best suited for targeted sequence data, such as that from sequence capture of probed vector regions. However, it will also work for whole genome sequencing data, though the memory requirements are large (the more reads in your data set, the larger the memory requirements). A bwa-mem mapped .sam file is required as input to the pipeline.O'Brien, Sofie A; Hu, Wei-Shou. (2019). SAM Filtering Pipeline (SFP): Algorithm for the determination of integration sites from next generation sequencing data. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/9wgm-mj51
Song Qinghu Wangzi Zisu xian sheng chu shou Sizhou xu
No full text卷一. 奏疏 -- 卷二. 序 -- 卷三. 記 -- 卷四. 雜著 -- 卷五. 祭文 -- 卷六. 銘志 -- 卷七. 書柬 -- 卷八. 五言古詩 -- 卷九. 七言古詩 -- 卷十. 五言律詩 -- 卷十一-十二. 七言律詩 -- 卷十三. 五言絶句 -- 卷十四. 七言絶句.Juan yi. Zou shu -- juan er. Xu -- juan san. Ji -- juan si. Za zhu -- juan wu. Ji wen -- juan liu. Ming zhi -- juan qi. Shu jian -- juan ba. Wu yan gu shi -- juan jiu. Qi yan gu shi -- juan shi. Wu yan lü shi -- juan shi yi - shi er. Qi yan lü shi -- juan shi san. Wu yan jue ju -- juan shi si. Qi yan jue ju.汪應軫著 ; 汪延艮編 ; 楊汝輔輯.綫裝, 1函.框18.2x13.8公分, 10行20字. 白口, 四周單邊, 無魚尾. 版心上鐫題名, 中鐫小題, 下鐫葉次並記刻工.出書年據序.前有嘉靖丙辰[1556]翁溥序, 及嘉靖三十八年[1559]葉邦榮序.文集共五冊, 存於精美木函套中, 函套附鎖及銷匙, 上刻有"青湖集 嘉靖栞本"見《香港中文大學圖書館古藉善本書錄》(2001, p. 242)附錄題: 送青湖汪子子宿先生出守泗州序 / 朱節撰.鈐有"姜公銓鑒藏圖書", "汪兆鏞印", "番禺汪氏藏書", "汪兆鏞長壽年宜子孫", "宣統辛亥得番禺汪氏賜福堂印", "微尚齋", "番禺何氏靈壁山房藏", "三十二芙蓉山主曼庵", "何曼盦鑒藏", "靈壁何氏"Xian zhuang, 1 han.Kuang 18.2 x 13.8 gong fen, 10 hang 20 zi. Bai kou, si zhou dan bian, wu yu wei. Ban xin shang juan ti ming, zhong juan xiao ti, xia juan ye ci bing ji ke gong.Chu shu nian ju xu.Qian you Jiajing bing chen [1556] Weng Pu xu, ji Jiajing san shi ba nian [1559] Ye Bangrong xu.Wen ji gong wu ce, cun yu jing mei mu han tao zhong, han tao fu suo ji xiao shi, shang ke you "Qinghu ji Jiajing kan ben"Jian "Xianggang Zhong wen da xue tu shu guan gu ji shan ben shu lu"(2001, p. 242)Wang Yingzhen zhu ; Wang Yangen bian ; Yang Rufu ji.Fu lu ti: Song Qinghu Wangzi Zisu xian sheng chu shou Sizhou xu / Zhu Jie zhuan.Qian you "Jiang gong Quanjian cang tu shu", "Wang Zhaoyong yin", "Panyu Wang shi cang shu", "Wang Zhaoyong chang shou nian yi zi sun", "Xuantong xin hai de Panyu Wang shi Ci fu tang yin", "Wei shang zhai", "Panyu He shi Ling bi shan fang cang", "San shi er fu rong shan zhu man an", "He Manan jian cang", "Lingbi He shi
A mechanistic-empirical model of central metabolism, signaling, and the reactor environment for bioprocesses
No full textThis model was built and optimized to reproduce the variability inherent to many industrial cell-culture processes. Classically, fed-batch Chinese Hamster Ovary (CHO) cell cultures will initially produce lactate in the early phase of culture before switching to lactate consumption. However, some processes may revert to lactate production in the late stage of culture, driving up osmolarity while reducing viable cell density, and ultimately lowering process performance. This phenomenon may occur in only some runs of a manufacturing processes and even may differ among runs with similar initial conditions and trajectories, leading to longstanding questions about the mechanisms driving this switch. By simulating cultures which were exposed to different amounts of stress before the production bioreactor we show that similar starting conditions in the bioreactor environment can lead to variability in metabolic shift. We provide this model as a tool to demonstrate this metabolic variability and provide a platform for hypothesis testing, in silico bioprocess optimization, and simulation of reactor scale-up and scale-down.O'Brien, Conor M; Hu, Wei-Shou. (2020). A mechanistic-empirical model of central metabolism, signaling, and the reactor environment for bioprocesses. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/kdqb-3023
GlycoVis: Visualizing Glycan Distribution in the Protein N-Glycosylation Pathwayin Mammalian Cells
No full textGlycosylation pattern is an important quality attribute of protein therapeutics. It affects protein stability, half-life and even biological functions. The N-glycosylation pathway is a highly branched network. Although only a relative small number of enzymes involved in the pathway, a multitude of glycan intermediates can be produced. In order to study this network, GlycoVis was created to visualize the distribution of glycans and potential reaction paths leading to each glycan in the N-glycosylation network. The program was written in Matlab, interfacing with Graphviz. It incorporates substrate specificity of the enzymes involved in the pathway in a relationship matrix. Given an input of glycan distribution data, the program traces all the potential reaction paths leading to each glycan, and outputs pathway maps with glycans colored in line with their relative abundances.Hossler, Patrick; Hu, Wei-Shou. (2016). GlycoVis: Visualizing Glycan Distribution in the Protein N-Glycosylation Pathwayin Mammalian Cells. Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D6GP45
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Carved Shou Shan Stone Seal
No full textThis well carved Shou Shan seal has a square base and a tall shape. The animal niu (or knob) is a good example of fine seal carving; it is intricately pierced and fashioned into two writhing Lung (dragon) with an extending spiral winding around and dividing it into two tiers. The Lung is depicted as the Yang Principle of Nature, as it is formed on Taoistic ritual vessels used in sacrificial offerings to the Influences of the Heavenly Realms.* The snake-like body of the bigger Lung curls around the tiers; its head slightly turnec to one side while the small one looks upward, trying to peak through the open space. The sides of the seal are left unadorned. The most important aspect for the literati was the engraving of the characters which enabled the scholar's self-expression. The bottom base is boldly carved with a scholar's expression: (ping sheng zhi jie guan cheng yuan), meaning 'For all my life I have only made an intimate relationship with the brush.' The characters are carved in Clerical style (or more accurately between Seal script and Clerical style). The style of the calligraphy is regular and formal with well-balanced characters. All is sophisticatedly and smoothly finished in an opaque creamy, white colored Shou Shan stone that originates from the fields, river beds, or sky-high mountains of Shou Shan village, NE of Fuzhou, SE of the Fujian Province, China. Not only an indispensable object in the Chinese literati's study, the seal is a scholar's personal statement or artistic expression. A classical Chinese scholar's studio is comprised of the writing brush, the ink stone, the ink stick, the paper, the ink-stone, the seals, the paper weight, the brush holder, the brush washer, the water dropper, and the brush rest. * Reference from Nott, Stanley Charles, Chinese Jades in the Stanley Charles Nott Collection (p 21)
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