80,706 research outputs found
Gu shi jiao jie
No full text陳獻章.鈐印: "丘冬友印".線裝, 二函附: 白沙子古詩敎解 : 上下卷 / 陳獻章撰 : v.10.匡18.8 x 13.5 公分, 10行21字, 白口, 單魚尾, 四周雙邊.内封題"撫、藩、學三大人鑒定, 乾隆辛卯重鐫, 碧玉樓藏板"複本無鈐印.Qian yin: "Qiu Dongyou yin".Xian zhuang, er hanFu: Baishazi gu shi jiao jie : shang xia juan / Chen Xianzhang zhuan : v.10.Kuang 18.8 x 13.5 gong fen, 10 hang 21 zi, bai kou, dan yu wei, si zhou shuang bian.Nei feng ti "Fu, fan、 xue san da ren jian ding, Qianlong xin mao zhong juan, Bi yu lou cang ban"Chen Xianzhang.Fu ben wu qian yin
Traces and shards of self-injury: Strange accounting with “Author X”
No full textIn this strange account autoethnography, three or four authors explore their lived experiences with self-injury. Strange accounting is both a post-modern style of text, and a method for keeping identities concealed when risks and secrets are in play. Author X, a post-modern place-keeper for an anonymous author who may or may not have contributed to this manuscript, introduces a new dimension and layer of concealment. With Author X in-play and under erasure, the reader will never be sure if there were three or four authors on this manuscript. Through strange accounting, a post-structuralist/postmodernist frame will be applied to understanding the self-injury experience. We frame self-injury as a social practice and, for some, an everyday norm, while remaining acutely aware of the stigma surrounding the topic of self-injury. Each of us, coupled with Author X, provide the others cover to trace stories of self-injury through the literature, our flesh, and our lives
Towards the design of a new standard for composite stiffness identification
No full textThis paper presents a step towards the design of a novel test for simultaneous identification of all the stiffness components of orthotropic composite materials. A simulator was adopted to numerically simulate the whole identification process. Synthetic images were generated and then processed by Digital Image Correlation (DIC) to calculate the strain fields. The Virtual Fields Method (VFM) was used to identify the material stiffness parameters and error functions were finally defined to evaluate the identification error. Two steps of optimization were applied to obtain the best design variables of different specimens and the optimal DIC processing parameters. Four types of test configuration were simulated including short off-axis tensile test, short off-axis open-hole tensile test, off-axis Brazilian disc and off-axis unnotched Iosipescu test and the most promising configuration was identified
A 2 h periodic variation in the low-mass X-ray binary Ser X-1
No full textSpectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1
Baishazi quan ji: [6 juan, juan shou]. v.1
No full text顧嗣協校正 ; 何九疇重編.鈐印: "泰和蕭敷政浦邨氏珍藏書籍之章"、"樂意軒吳氏藏書"、"五竹居"、"吳芝"、"平叔"、"泉"、"金生閣".綫裝.框20.2 x 14.8 公分, 11行21字, 黑口, 單魚尾, 左右雙邊. 版心上鐫書名及卷次.内封題"理堂藏闆"Detailed notes in vernacular field only.Xian zhuang.Kuang 20.2 x 14.8 gong fen, 11 hang 21 zi, hei kou, dan yu wei, zuo you shuang bian. Ban xin shang juan shu ming ji juan ci.Nei feng ti "Li tang cang ban"Gu Sixie jiao zheng ; He Jiuchou chong bian
Qin Han yin sou
No full text王常編 ; 顧從德校.綫裝, 1函.框20.6x14.2公分, 8行, 每兩行按六分之一細分為上格下截, 上格内鈐印章, 下截為解說, 小字雙行每行20字. 朱絲欄, 紅格, 白口, 無魚尾, 四周單邊. 版心中鐫題名卷次, 下鐫葉次及"顧氏芸閣".刻書年據《引》.附原書底面夾板, 夾板上刻"秦漢印藪".Xian zhuang, 1 han.Kuang 20.6 x 14.2 gong fen, 8 hang, mei liang hang an liu fen zhi yi xi fen wei shang ge xia jie, shang ge nei qian yin zhang, xia jie wei jie shuo, xiao zi shuang hang mei hang 20 zi. Zhu si lan, hong ge, bai kou, wu yu wei, si zhou dan bian. Ban xin zhong juan ti ming juan ci, xia juan ye ci ji "Gu shi yun ge".Ke shu nian ju "yin".Fu yuan shu di mian jia ban, jia ban shang ke "Qin Han yin sou".Wang Chang bian ; Gu Congde jiao
Gu hua pin lu.
No full text謝赫撰 ; 毛晉訂. 續畫品錄 / 李嗣眞撰 ; 毛晉訂. 後畫錄 / 彥悰撰 ; 毛晉訂.綫裝, 1函.框19.2x13.5公分, 8行19字, 白口, 無魚尾, 左右雙邊, 版心上鐫題名, 中鐫葉次, 下鐫"汲古閣".原屬《津逮秘書》叢書第7集?With: 續畫品并序 / 姚最撰 ; 毛晉訂.Xian zhuang, 1 han.Kuang 19.2 x 13.5 gong fen, 8 hang 19 zi, bai kou, wu yu wei, zuo you shuang bian, ban xin shang juan ti ming, zhong juan ye ci, xia juan "Ji gu ge".Yuan shu "Jin dai mi shu" cong shu di 7 ji?Xie He zhuan ; Mao Jin ding. Xu hua pin lu / Li Sizhen zhuan ; Mao Jin ding. Hou hua lu / Yan Cong zhuan ; Mao Jin ding.With: Xu hua pin bing xu / Yao Zui zhuan ; Mao Jin ding
UJI TAK MERUSAK PELAT ELEMEN BAKAR U3SI2/Al DENSITAS URANIUM 4,8 gU/cm3 MENGGUNAKAN RADIOGRAFI SINAR-X DIGITAL
No full textUJI TAK MERUSAK PELAT ELEMEN BAKAR U3Si2/All DENSITAS URANIUM 4,8 gU/cm3 MENGGUNAKAN RADIOGRAFI SINAR-X DIGITAL. Telah dilakukan uji tak merusak PEB U3Si2/Al densitas uranium 4,8 gU/cm3 pasca iradiasi dengan burn up 20, 40,dan 60 %. Pengujian meliputi pengamatan secara visual, analisis citra radiograf dan pengukuran dimensi menggunakan radiografi sinar-X digital. Uji tak merusak bertujuan untuk mengetahui unjuk kerja, integritas dan kehandalan PEB selama diiradiasi di RSG-GAS. Kehandalan dan kesalamatan bahan bakar selama di reaktor diindikasikan dengan tidak adanya anomali pada hasil pengujian pasca iradiasi. Elemen bakar uji (EBU) terdiridari tiga PEB U3Si2/Al densitas 4,8 gU/cm3 pasca iradiasi ditransfer dari RSG-GAS ke hotcell 101 IRM melalui kanal hubung Instalasi Penyimpanan Sementara Bahan Bakar Bekas (IPSB3). Selanjutnya EBU ditransfer ke hot cell 103 untuk dilakukan pengujian tak merusak menggunakan radiografi sinar-X digital dengan tujuh kali penembakan sehingga diperoleh hasil citra radiografi dengan resolusi yang baik. Citra radiografi yang dihasilkan dievaluasi lebih lanjut untuk mendapatkan data cacat dan dimensi PEB U3Si2/Al densitas 4,8 gU/cm3pasca iradiasi antara lain lebar meat, lebar PEB, jarak meat-cladding, jarak batas meat-cladding sisi kanan kiri pada sisi jauh (SJ) dan sisi dekat (SD). Hasil analisis menggunakan radiografi sinar-X menunjukkan adanya bercak putih pada cladding bagian tengah PEB U3Si2/Al densitas 4,8 gU/cm3dengan burn up 20%. Penyebab keberadaan bercak putih tersebut harus dibuktikan dengan menggunakan metode uji merusak salah satunya yaitu analisis metalografi. Sementara itu, PEB U3Si2/Al densitas 4,8 gU/cm3 dengan burn up 40 dan 60 % tidak ditemukan adanya indikasi cacat permukaan dan cacat lainnya. Data hasil pengukuran dimensi menunjukkan tidak terdapat kerusakan dan perubahan dimensi signifikan yang menunjukkan bahwa integritas bahan bakar tetap terjaga setelah PEB U3Si2/Al densitas 4,8 gU/cm3 diiradiasi di teras RSG-GAS.Kata kunci: PEB, U3Si2/Al, 4,8 gU/cm3, uji tak merusak, radiografi sinar-X
A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites
No full textRecently, the design of grid composites with superior mechanical properties has gained significant attention as a testbed for deep neural network (DNN)-based optimization methods. However, current designed DNN architectures are not specifically tailored for grid composites and thus show weak generalizability in exploring unseen configurations that stem away from the training datasets. Here, a multiscale kernel neural network (MNet) is proposed that can efficiently predict the strain field within a grid composite subject to an external loading. Predicting the strain field of a composite is especially important when it comes to understanding how the material will behave under loading. MNet enables accurate predictions of the strain field for completely new configurations in unseen domain, with a reduced mean absolute percentage error (MAPE) by 50% compared to a benchmark, U-Net as current state-of-the arts DNN architectures. In addition, results showed that MNet maintained superb performances with less than onethird of dataset, and can be applied to grid composites larger than the composite configurations used for the initial training. By investigating the inference mechanisms from the kernels of multiple sizes, our work revealed that the MNet can efficiently extract various spatial correlations from the material distribution.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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