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url: =Qingjie Tang, Zhenfu Guo, and Qingzhong Li, “Comparison of substitution effects of F and methyl groups adjoined to C and B atoms in hydrogen bonds,” Computational and Theoretical Chemistry, vol. 1029, pp. 41–47, 2014. View at Publisher · View at Google Scholar\nVladimir Sladek, Peter Škorňa, Peter Poliak, and Vladimír Lukeš, “The ab initio study of halogen and hydrogen σN-bonded para-substituted pyridine⋯(X2/XY/HX) complexes,” Chemical Physics Letters, vol. 619, pp. 7–13, 2015. View at Publisher · View at Google Scholar


url: =Bradley Cooper | crazyrals\nRT @MnshaP: .@News18India के editors बिना दिमाग के घर से निकले newsroom तक, viral खबरों के चक्कर मैं भूले basic journalistic मर्याद...oh. h… ==>\t50 minutes ago\nRT @thevirdas: Humbled and thrilled to announce I have been selected as one of the Kennedy Center's Next 50. I'm honored to be included in… ==>\t52 minutes ago


url: =JBX-2036 | Ninki Anime Shudaikashuu Spoon Oba-san / Nanako... - VGMdb\nNinki Anime Shudaikashuu Spoon Oba-san / Nanako SOS / 人気アニメ主題歌集 スプーンおばさん/ななこSOS / Ninki Anime Shudaikashuu Spoon Oba-san / Nanako SOS\nNinki Anime Shudaikashuu Spoon Oba-san / Nanako SOS\nCatalog Number JBX-2036\nVCK-835 (Cassette, 1983)\nComposer / Composer Kyohei Tsutsumi / 筒美京平, Izumi Kobayashi / 小林泉美, Minami Kobayashi, Yuichiro Oda / 小田裕一郎, Kuni Kawachi / クニ河内, Yoshiaki Furuta / 古田喜昭, Ichiro Nitta / 新田一郎, Kisaburo Suzuki / 鈴木キサブロー, Takeo Watanabe / 渡辺岳夫, Tsutomu Sasaki, Shunsuke Kikuchi / 菊池俊輔, Joe Hisaishi / 久石譲\nArranger / Arranger Eiji Kawamura / 川村栄二, Yasunori Tsuchida / 槌田靖識, Izumi Kobayashi / 小林泉美, Masaaki Jinbo / 神保正明, Kuni Kawachi / クニ河内, Ichiro Nitta / 新田一郎, Junichi Kamiyama / 神山純一, Masaaki Oomura / 大村雅朗, Nozomi Aoki / 青木望, Hiroshi Takada / 高田弘, Joe Hisaishi / 久石譲\nPerformer / Performer Mari Iijima / 飯島真理, Yoshimi Niikura / 新倉よしみ, Sayaka Ito / 伊藤さやか, Miho Hisano / 久野美保, Yuko Imada, Etsuko Yamakawa / 山川恵津子, Ritsuko Ohwada / 大和田りつこ, Miyuki Takahashi, KID, Chiyoko Amai / 甘井チヨコ, Harumi Kamo / 加茂晴美, Yuriko Yamamoto / 山本百合子, Mami Koyama / 小山茉美, Mayumi Tanaka / 田中真弓\nLyricist / Lyricist Takashi Matsumoto / 松本隆, Akira Ito / 伊藤アキラ, Chinfa Kan / 康珍化, Kounosuke Fuji / 藤公之介, Toyohisa Araki / 荒木とよひさ, Fujiko Fujio / 藤子不二雄, Yoko Aki / 阿木燿子, Yoshiaki Furuta / 古田喜昭, Kazuya Senke / 千家和也, Koichi Hino\n11 DANCING STAR\nfrom "Stop!! Hibarikun!"\nVocals by: Yuko Imada/今田裕子\nVocals by: Etsuko Yamakawa\nfrom "Personal Computer Travel Tanteidan"\nComposed and Arranged by: Kuni Kawachi\nVocals by: Miyuki Takahashi/高橋みゆき\n10. 1st ending cover theme\n11. 2nd opening cover theme\nVocals by: Chiyoko Amai/甘井チヨ子\nfrom "Fairy Princess Minky Momo"\nLyrics by: Koichi Hino/ひのこういち\nComposed and Arranged by: Joe Hisaishi\nSubmitted on Jun 21, 2019 06:39 AM\nSubmitted on Jun 21, 2019 06:40 AM\nJun 21, 2019 06:35 AM\nFeb 9, 2021 02:54 AM


url:
=Acupuncture points -- Diagnostic use (Concept) - San Francisco Public Library\nThe concept Acupuncture points -- Diagnostic use represents the subject, aboutness, idea or notion of resources found in San Francisco Public Library.\nThe Resource Acupuncture points -- Diagnostic use\n5 Items that share the Concept Acupuncture points -- Diagnostic use\nYang sheng xian yang jiao : ba jiao dou yang hao le, quan shen ji bing dou mei le! bao jian, chang shou, yang yan : 6 tiao jing luo, 60 duo ge xue wei, 70 duo ge fan she qu, quan mian shi yong de jiao bu yang sheng bao jian zhi nan, Bian Changzong zhu\nContext of Acupuncture points -- Diagnostic use\nAkiramenakereba, itami mo, mahi mo, kanarazu naoru\nYang sheng xian yang jiao : ba jiao dou yang hao le, quan shen ji bing dou mei le! bao jian, chang shou, yang yan : 6 tiao jing luo, 60 duo ge xue wei, 70 duo ge fan she qu, quan mian shi yong de jiao bu yang sheng bao jian zhi nan\n
 Data from Acupuncture points -- Diagnostic use - San Francisco Public Library
\nData Citation of the Concept Acupuncture points -- Diagnostic use


url: =Tag: mango | Rampant Cuisine\nWhen Nathan told me he didn’t like Indian curry it became my mission to change his mind. I consider myself somewhat of an expert on Indian cuisine because I spent 6 months in India with my family at the formative and highly impressionable age of 2. Ok, ok…The only things I actually remember from my… Continue Reading


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url: =K916 Train Timetable | Fuxin South to Beijing East | China-Travel-Guide.net\nFuxin South to Beijing East\nTrain Number: K916 Start Station: Fuxin South End Station: Beijing East\nTrain Type K Start Time: 22:34 End Time: 08:09\nIntermediate Stations: Fuxin South, Qinghemen North, Yixian, Jinzhou, Qinhuangdao, Tangshan North, Yutianxian, Sanhexian, Yanjiao, Jizhou, Beijing East\n1 Fuxin South 22:34 22:34 0 mins\n2 Qinghemen North 22:56 22:58 2 mins\n3 Yixian 23:32 23:35 3 mins\n4 Jinzhou 00:31 00:53 22 mins\n6 Qinhuangdao 04:02 04:07 5 mins\n7 Tangshan North 05:40 05:50 10 mins\n8 Yutianxian 06:12 06:40 28 mins\n8 Sanhexian 07:19 07:22 3 mins\n9 Yanjiao 07:44 08:21 37 mins\n9 Jizhou 07:02 07:04 2 mins\n10 Beijing East 08:09 08:09 0 mins\nK916 is a K train route originating from Fuxin South at 22:34, and arriving at the final destination of Beijing East at 08:09. The duration of the total journey is -1 day, 9 hours 35 minutes. There are 11 stops in total: Fuxin South, Qinghemen North, Yixian, Jinzhou, Qinhuangdao, Tangshan North, Yutianxian, Sanhexian, Yanjiao, Jizhou, Beijing East. You can purchase tickets starting at, and ending at any station. Ticket prices are set on a per kilometer basis.


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url:
=Foto de Hainan Airlines B738 (B-6063) - FlightAware\n1 Votos (4.00 Média) e 174 Visualizações\n

Photo Courtesy of FlightAware.com

\n[url=http://flightaware.com/photos/view/12134487-b1535bc5cbea125cd09b8434432fade4d570a5d1][img]https://photos-e1.flightcdn.com/photos/retriever/be3733d0105e7079d12705a2a0b8e30e7d417160[/img]Photo Courtesy of FlightAware.com[/url]\n2 of B-6063 55075 of B738 18 at ZGHA\nDeseja um histórico completo para B-6063 a partir de 1998? Compre agora. Comece dentro de uma hora.\n3 de Ago de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Int'l de Shenzhen Bao'an (SZX / ZGSZ) 07:34 CST 10:06 CST 2:32\n3 de Ago de 2021 B738 Ningbo Lishe Int'l (NGB / ZSNB) Taiyuan Wusu (TYN / ZBYN) 00:50 CST 02:52 CST 2:01\n2 de Ago de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Ningbo Lishe Int'l (NGB / ZSNB) 22:04 CST 23:58 CST 1:53\n2 de Ago de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Taiyuan Wusu (TYN / ZBYN) 19:26 CST 21:06 CST 1:39\n2 de Ago de 2021 B738 Nanning Wuxu Int'l (NNG / ZGNN) Nanchang Changbei Int'l (KHN / ZSCN) 16:29 CST 18:11 CST 1:42\n2 de Ago de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Nanning Wuxu Int'l (NNG / ZGNN) 13:42 CST 15:25 CST 1:42\n2 de Ago de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Nanchang Changbei Int'l (KHN / ZSCN) 10:07 CST 11:46 CST 1:39\n1 de Ago de 2021 B738 Ningbo Lishe Int'l (NGB / ZSNB) Taiyuan Wusu (TYN / ZBYN) 22:38 CST 00:37 CST (+1) 1:58\n1 de Ago de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Ningbo Lishe Int'l (NGB / ZSNB) 19:02 CST 21:12 CST 2:09\n1 de Ago de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Taiyuan Wusu (TYN / ZBYN) 15:42 CST 17:16 CST 1:34\n1 de Ago de 2021 B738 Nanning Wuxu Int'l (NNG / ZGNN) Nanchang Changbei Int'l (KHN / ZSCN) 13:03 CST 14:38 CST 1:34\n1 de Ago de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Nanning Wuxu Int'l (NNG / ZGNN) 09:34 CST 11:11 CST 1:36\n1 de Ago de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Nanchang Changbei Int'l (KHN / ZSCN) 06:46 CST 08:23 CST 1:37\n31 de Jul de 2021 B738 Int'l de Chongqing Jiangbei (CKG / ZUCK) Taiyuan Wusu (TYN / ZBYN) 23:15 CST 01:14 CST (+1) 1:59\n31 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Int'l de Chongqing Jiangbei (CKG / ZUCK) 17:08 CST 18:57 CST 1:48\n30 de Jul de 2021 B738 Hefei Xinqiao Airport (HFE / ZSOF) Taiyuan Wusu (TYN / ZBYN) 21:50 CST 23:05 CST 1:15\n30 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Hefei Xinqiao Airport (HFE / ZSOF) 14:10 CST 15:22 CST 1:11\n30 de Jul de 2021 B738 Int'l de Hangzhou Xiaoxan (HGH / ZSHC) Taiyuan Wusu (TYN / ZBYN) 10:48 CST 12:35 CST 1:46\n30 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Int'l de Hangzhou Xiaoxan (HGH / ZSHC) 07:21 CST 09:16 CST 1:55\n29 de Jul de 2021 B738 Ningbo Lishe Int'l (NGB / ZSNB) Taiyuan Wusu (TYN / ZBYN) 22:19 CST 00:24 CST (+1) 2:05\n29 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Ningbo Lishe Int'l (NGB / ZSNB) 19:04 CST 21:14 CST 2:09\n29 de Jul de 2021 Unknown Int'l de Xi'an Xianyang (XIY / ZLXY) Taiyuan Wusu (TYN / ZBYN) 10:18 CST 11:19 CST 1:00\n28 de Jul de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Taiyuan Wusu (TYN / ZBYN) 15:43 CST 18:32 CST (?) 2:48\n28 de Jul de 2021 B738 Nanning Wuxu Int'l (NNG / ZGNN) Nanchang Changbei Int'l (KHN / ZSCN) 12:57 CST 14:29 CST 1:31\n28 de Jul de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Nanning Wuxu Int'l (NNG / ZGNN) 09:53 CST 11:32 CST 1:39\n28 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Nanchang Changbei Int'l (KHN / ZSCN) 06:56 CST 08:33 CST 1:36\n27 de Jul de 2021 B738 Hailar Dongshan (HLD / ZBLA) Taiyuan Wusu (TYN / ZBYN) 18:50 CST 21:17 CST 2:27\n27 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Hailar Dongshan (HLD / ZBLA) 14:39 CST 16:44 CST 2:04\n26 de Jul de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Taiyuan Wusu (TYN / ZBYN) 15:50 CST 17:30 CST 1:39\n26 de Jul de 2021 B738 Nanning Wuxu Int'l (NNG / ZGNN) Nanchang Changbei Int'l (KHN / ZSCN) 12:53 CST 14:34 CST 1:41\n26 de Jul de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Nanning Wuxu Int'l (NNG / ZGNN) 10:01 CST 11:43 CST 1:41\n26 de Jul de 2021 B738 Taiyuan Wusu (TYN / ZBYN) Nanchang Changbei Int'l (KHN / ZSCN) 07:00 CST 08:41 CST 1:41\n24 de Jul de 2021 B738 Int'l de Guangzhou Baiyun (CAN / ZGGG) Taiyuan Wusu (TYN / ZBYN) 22:09 CST 00:18 CST (+1) 2:08\n24 de Jul de 2021 B738 Int'l de Haikou Meilan (HAK / ZJHK) Int'l de Guangzhou Baiyun (CAN / ZGGG) 16:56 CST 17:54 CST 0:58\n24 de Jul de 2021 B738 Nanchang Changbei Int'l (KHN / ZSCN) Int'l de Haikou Meilan (HAK / ZJHK) 11:01 CST 12:37 CST 1:35\n24 de Jul de 2021 B738 Int'l de Dalian Zhoushuizi (DLC / ZYTL) Nanchang Changbei Int'l (KHN / ZSCN) 08:04 CST 09:58 CST 1:54\n23 de Jul de 2021 B738 Hefei Xinqiao Airport (HFE / ZSOF) Int'l de Dalian Zhoushuizi (DLC / ZYTL) 19:57 CST 21:29 CST 1:32\n23 de Jul de 2021 B738 Zhuhai Int'l (ZUH / ZGSD) Hefei Xinqiao Airport (HFE / ZSOF) 16:51 CST 18:28 CST 1:36\n23 de Jul de 2021 B738 Hefei Xinqiao Airport (HFE / ZSOF) Zhuhai Int'l (ZUH / ZGSD) 13:27 CST 15:20 CST 1:53\n23 de Jul de 2021 B738 Int'l de Dalian Zhoushuizi (DLC / ZYTL) Hefei Xinqiao Airport (HFE / ZSOF) 10:17 CST 11:50 CST 1:33\n22 de Jul de 2021 B738 Hefei Xinqiao Airport (HFE / ZSOF) Int'l de Dalian Zhoushuizi (DLC / ZYTL) 20:02 CST 21:34 CST 1:32\n22 de Jul de 2021 B738 Zhuhai Int'l (ZUH / ZGSD) Hefei Xinqiao Airport (HFE / ZSOF) 16:49 CST 18:26 CST 1:36\n22 de Jul de 2021 B738 Hefei Xinqiao Airport (HFE / ZSOF) Zhuhai Int'l (ZUH / ZGSD) 13:42 CST 15:35 CST 1:53\nComprar histórico de vôos de B6063 em formato Excel →


url: =Nunes, Suzana Pereira (15)\nKim, Dooli (4)Le, Ngoc Lieu (4)Musteata, Valentina-Elena (3)Peinemann, Klaus-Viktor (3)View MoreDepartmentBiological and Environmental Sciences and Engineering (BESE) Division (15)Environmental Science and Engineering Program (15)Water Desalination and Reuse Research Center (WDRC) (11)Physical Sciences and Engineering (PSE) Division (5)Advanced Membranes and Porous Materials Research Center (4)View MoreJournalJournal of Membrane Science (4)Industrial & Engineering Chemistry Research (3)Chem. Commun. (1)ChemistrySelect (1)European Polymer Journal (1)View MoreKAUST Grant Number1671 – CRG2 (1)PublisherElsevier BV (7)American Chemical Society (ACS) (3)Wiley (2)Cambridge University Press (CUP) (1)Royal Society of Chemistry (RSC) (1)View MoreSubject[EMIM]DEP (1)[MMIM]DMP (1)Block copolymers (1)block-copolymers (1)bore fluid (1)View MoreTypeArticle (14)Book Chapter (1)Year (Issue Date)\nItem AvailabilityOpen Access (14)Embargoed (1)


url: =Woodblock Printing Exhibition of Shizhuzhai Held in Sichuan - All China Women's Federation\nWei Lizhong (R), curator of Hangzhou Shizhuzhai Museum, teaches a child to make woodblock printing work during a woodblock printing exhibition of Shizhuzhai in Chengdu, capital of Southwest China's Sichuan province, April 14, 2018. The woodblock printing technique of Shizhuzhai was listed as the national intangible cultural heritage of China in 2014. [Xinhua]\nA visitor enjoys artworks during a woodblock printing exhibition of Shizhuzhai in Chengdu, capital of Southwest China's Sichuan province, April 14, 2018. [Xinhua]\nA visitor takes photos of an artwork displayed during a woodblock printing exhibition of Shizhuzhai in Chengdu, capital of Southwest China's Sichuan province, April 14, 2018. [Xinhua]\nSession Shows Food Safety Still High among Concerns: China Daily Editorial2019-03-15Protecting Safety of Disadvantaged Children, Improving Welfare Services for Children2019-03-12Dedicated Woman Volunteers Time, Money to Help Left-behind Childrenchinadaily.com.cn2019-03-12Elderly Care Sector to Get Further Boost2019-03-06Children Hug Cartoon Figure for Raising Public Awareness of Rare Diseasesxinhuanet.com2019-02-25


url: =Home > Wholesale Fashion > Moissanite Jewelry > 1 CT DEF 6.5mm VVS Moissanite key necklace Sterling Silver Pendant Necklace Platinum plating 45CM chain\n1 CT DEF 6.5mm VVS Moissanite key necklace Sterling Silver Pendant Necklace Platinum plating 45CM chain Item NO.: MD2004\nProduct Name 1 CT DEF 6.5mm VVS Moissanite key necklace Sterling Silver Pendant Necklace Platinum plating 45CM chain\nItem NO. MD2004


url: =Groups | MonetDB Docs\nDocumentation > DEVELOPER GUIDE > MonetDB Components > Mal Modules > Groups\nThis module contains the primitives to construct, derive, and perform statistical operations on BATs representing groups. The default scheme in MonetDB is to assume the head to represent the group identifier and the tail an element in the group.\nGroups play an important role in data science, where they are used to construct cross-tables. Such cross tables over a single BAT are already supported by the histogram function. This module provides extensions to support identification of groups in a (multi-)dimensional space.\nCross Table (GRP)\n[type:] Type specific implementation for selecting the right hash function and data size etc.\n[clustered:] The select the appropriate algorithm, i.e., with or without taking advantage of an order of values in the parent groups\n[physical properties:] Values , choosing between a fixed predefined and a custom hash mask. Custom allows the user to determine the size of the hash mask (and indirectly the estimated size of the result). The hash mask is 2^n - 1 where n is given by the user, or 1023 otherwise, and the derived result size is 4 ... 2^n\nFurther research should point out whether fitting a simple statistical model (possibly a simple mixture model) can help choose these parameters automatically; the current idea is that the user (which could be a domain-specific extension of the higher-level language) knows the properties of the data, especially for IR in which the standard grouping settings differ significantly from the original data science application.\nCOMMAND group.group(X_0:bat[:any_1]) (X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]);\nCOMMAND group.group(X_0:bat[:any_1], X_1:bat[:oid]):bat[:oid];\nCOMMAND group.group(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]);\nCOMMAND group.group(X_0:bat[:any_1]) (X_1:bat[:oid], X_2:bat[:oid]);\nCOMMAND group.group(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid]);\nCOMMAND group.groupdone(X_0:bat[:any_1]) (X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]);\nCOMMAND group.groupdone(X_0:bat[:any_1], X_1:bat[:oid]):bat[:oid];\nCOMMAND group.groupdone(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]);\nCOMMAND group.groupdone(X_0:bat[:any_1]) (X_1:bat[:oid], X_2:bat[:oid]);\nCOMMAND group.groupdone(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid]);\nPATTERN group.multicolumn(X_0:bat[:any]...) (X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:any]);\nCOMMENT "Derivation of a group index over multiple columns.";\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid]):bat[:oid];\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]):bat[:oid];\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]) (X_3:bat[:oid], X_4:bat[:oid], X_5:bat[:lng]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]):bat[:oid];\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]) (X_4:bat[:oid], X_5:bat[:oid], X_6:bat[:lng]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]):bat[:oid];\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]) (X_5:bat[:oid], X_6:bat[:oid], X_7:bat[:lng]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]) (X_3:bat[:oid], X_4:bat[:oid]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]) (X_4:bat[:oid], X_5:bat[:oid]);\nCOMMAND group.subgroup(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]) (X_5:bat[:oid], X_6:bat[:oid]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid]):bat[:oid];\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]):bat[:oid];\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]) (X_3:bat[:oid], X_4:bat[:oid], X_5:bat[:lng]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]):bat[:oid];\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]) (X_4:bat[:oid], X_5:bat[:oid], X_6:bat[:lng]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]):bat[:oid];\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]) (X_5:bat[:oid], X_6:bat[:oid], X_7:bat[:lng]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid]) (X_2:bat[:oid], X_3:bat[:oid]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid]) (X_3:bat[:oid], X_4:bat[:oid]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:lng]) (X_4:bat[:oid], X_5:bat[:oid]);\nCOMMAND group.subgroupdone(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:lng]) (X_5:bat[:oid], X_6:bat[:oid]);\nCOMMENT "if all values in b are equal return this, else nil";\nPATTERN aggr.allnotequal(X_0:bat[:any_1], X_1:bat[:any_1]):bit;\nCOMMENT "if all values in r are not equal to l return true, else if r has nil nil else false";\nPATTERN aggr.anyequal(X_0:any_1, X_1:any_1):bit;\nPATTERN aggr.anyequal(X_0:bat[:any_1], X_1:bat[:any_1]):bit;\nCOMMENT "if any value in r is equal to l return true, else if r has nil nil else false";\nCOMMAND aggr.avg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on bte";\nCOMMAND aggr.avg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on dbl";\nCOMMAND aggr.avg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on flt";\nCOMMAND aggr.avg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on int";\nCOMMAND aggr.avg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on lng";\nCOMMAND aggr.avg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail average on sht";\nCOMMAND aggr.avg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:int):bat[:dbl];\nCOMMAND aggr.avg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on bte, also returns count";\nCOMMAND aggr.avg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on dbl, also returns count";\nCOMMAND aggr.avg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on flt, also returns count";\nCOMMAND aggr.avg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on int, also returns count";\nCOMMAND aggr.avg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on lng, also returns count";\nCOMMAND aggr.avg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]) (X_3:bat[:dbl], X_4:bat[:lng]);\nCOMMENT "Grouped tail average on sht, also returns count";\nCOMMAND aggr.avg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nCOMMAND aggr.avg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nCOMMAND aggr.avg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nCOMMAND aggr.avg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nCOMMAND aggr.avg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nCOMMAND aggr.avg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:int) (X_4:bat[:dbl], X_5:bat[:lng]);\nPATTERN aggr.avg(X_0:bat[:bte], X_1:bat[:oid], X_2:bit) (X_3:bte, X_4:lng, X_5:lng);\nCOMMENT "Calculate aggregate average of B.";\nPATTERN aggr.avg(X_0:bat[:int], X_1:bat[:oid], X_2:bit) (X_3:int, X_4:lng, X_5:lng);\nPATTERN aggr.avg(X_0:bat[:lng], X_1:bat[:oid], X_2:bit) (X_3:lng, X_4:lng, X_5:lng);\nPATTERN aggr.avg(X_0:bat[:sht], X_1:bat[:oid], X_2:bit) (X_3:sht, X_4:lng, X_5:lng);\nPATTERN aggr.avg(X_0:bat[:bte], X_1:bat[:lng], X_2:bat[:lng]):bte;\nCOMMENT "Average aggregation combiner.";\nPATTERN aggr.avg(X_0:bat[:int], X_1:bat[:lng], X_2:bat[:lng]):int;\nPATTERN aggr.avg(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:lng]):lng;\nPATTERN aggr.avg(X_0:bat[:sht], X_1:bat[:lng], X_2:bat[:lng]):sht;\nCOMMENT "Gives the avg of all tail values";\nPATTERN aggr.avg(X_0:bat[:any_2], X_1:int):dbl;\nCOMMENT "Return the cardinality of the BAT tail values.";\nCOMMAND aggr.corr(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMENT "Correlation aggregate";\nCOMMAND aggr.corr(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.corr(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.corr(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.corr(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.corr(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.corr(X_0:bat[:any_2], X_1:bat[:any_2]):dbl;\nCOMMENT "Gives the correlation of all tail values";\nCOMMAND aggr.count(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:lng];\nCOMMAND aggr.count(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2]):bat[:lng];\nCOMMENT "Grouped count";\nCOMMAND aggr.count(X_0:bat[:any], X_1:bat[:oid]):lng;\nCOMMENT "Return the current size (in number of elements) in a BAT.";\nCOMMAND aggr.count(X_0:bat[:any], X_1:bat[:oid], X_2:bit):lng;\nCOMMENT "Return the number of elements currently in a BAT ignores\_nBUNs with nil-tail iff ignore_nils==TRUE.";\nCOMMAND aggr.count(X_0:bat[:any], X_1:bit):lng;\nCOMMAND aggr.count_no_nil(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2]):bat[:lng];\nCOMMAND aggr.count_no_nil(X_0:bat[:any_2], X_1:bat[:oid]):lng;\nCOMMENT "Return the number of elements currently\_nin a BAT ignoring BUNs with nil-tail";\nCOMMAND aggr.covariance(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMENT "Covariance sample aggregate";\nCOMMAND aggr.covariance(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariance(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariance(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariance(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariance(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariance(X_0:bat[:any_2], X_1:bat[:any_2]):dbl;\nCOMMENT "Gives the covariance of all tail values";\nCOMMAND aggr.covariancep(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMENT "Covariance population aggregate";\nCOMMAND aggr.covariancep(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariancep(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariancep(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariancep(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariancep(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.covariancep(X_0:bat[:any_2], X_1:bat[:any_2]):dbl;\nCOMMAND aggr.exist(X_0:bat[:any_2], X_1:any_1):bit;\nCOMMENT "Aggregate the double values to array.";\nCOMMENT "Aggregate the string values to array.";\nCOMMAND aggr.max(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2]):bat[:any_1];\nCOMMENT "Return the highest tail value or nil.";\nCOMMAND aggr.max(X_0:bat[:any_2], X_1:bit):any_2;\nCOMMENT "Median aggregate";\nCOMMAND aggr.min(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2]):bat[:any_1];\nCOMMENT "Return the lowest tail value or nil.";\nCOMMAND aggr.min(X_0:bat[:any_2], X_1:bit):any_2;\nPATTERN aggr.not_anyequal(X_0:any_1, X_1:any_1):bit;\nCOMMENT "check if the tail sorted bat b doesn't have unique tail values";\nCOMMENT "if b has a nil return true, else false";\nCOMMAND aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:bte];\nCOMMENT "Grouped tail product on bte";\nCOMMAND aggr.prod(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail product on dbl";\nCOMMAND aggr.prod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail product on flt";\nCOMMAND aggr.prod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:flt];\nCOMMAND aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMAND aggr.prod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMENT "Grouped tail product on int";\nCOMMAND aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMENT "Grouped tail product on sht";\nCOMMAND aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.prod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.prod(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMENT "Grouped tail product on lng";\nCOMMAND aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:sht];\nCOMMAND aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:sht];\nCOMMENT "Calculate aggregate product of B.";\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid]):bte;\nCOMMENT "Calculate aggregate product of B with candidate list.";\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid]):int;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid]):lng;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid]):sht;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):bte;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):sht;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bit):bte;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bit):int;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bit):lng;\nPATTERN aggr.prod(X_0:bat[:bte], X_1:bit):sht;\nPATTERN aggr.prod(X_0:bat[:dbl], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:dbl], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:dbl], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bat[:oid]):flt;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bat[:oid], X_2:bit):flt;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:flt], X_1:bit):flt;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid]):int;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid]):lng;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bit):int;\nPATTERN aggr.prod(X_0:bat[:int], X_1:bit):lng;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bat[:oid]):lng;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:lng], X_1:bit):lng;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid]):dbl;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid]):int;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid]):lng;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid]):sht;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):sht;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bit):dbl;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bit):int;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bit):lng;\nPATTERN aggr.prod(X_0:bat[:sht], X_1:bit):sht;\nCOMMAND aggr.quantile(X_0:bat[:any_1], X_1:bat[:dbl]):any_1;\nCOMMENT "Quantile aggregate";\nCOMMAND aggr.quantile_avg(X_0:bat[:any_1], X_1:bat[:dbl]):dbl;\nCOMMAND aggr.stdev(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on bte";\nCOMMAND aggr.stdev(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on dbl";\nCOMMAND aggr.stdev(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on flt";\nCOMMAND aggr.stdev(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on int";\nCOMMAND aggr.stdev(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on lng";\nCOMMAND aggr.stdev(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (sample/non-biased) on sht";\nCOMMENT "Gives the standard deviation of all tail values";\nCOMMAND aggr.stdevp(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on bte";\nCOMMAND aggr.stdevp(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on dbl";\nCOMMAND aggr.stdevp(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on flt";\nCOMMAND aggr.stdevp(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on int";\nCOMMAND aggr.stdevp(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on lng";\nCOMMAND aggr.stdevp(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail standard deviation (population/biased) on sht";\nCOMMAND aggr.str_group_concat(X_0:bat[:str], X_1:bat[:oid], X_2:bat[:any_1]):bat[:str];\nCOMMENT "Grouped string tail concat";\nCOMMAND aggr.str_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bat[:oid], X_3:bat[:any_1]):bat[:str];\nCOMMENT "Grouped string tail concat with custom separator";\nCOMMENT "Calculate aggregate string concatenate of B.";\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:oid]):str;\nCOMMENT "Calculate aggregate string concatenate of B with candidate list.";\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:oid], X_2:bit):str;\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:str]):str;\nCOMMENT "Calculate aggregate string concatenate of B with separator SEP.";\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bat[:oid]):str;\nCOMMENT "Calculate aggregate string concatenate of B with candidate list and separator SEP.";\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bat[:oid], X_3:bit):str;\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bit):str;\nPATTERN aggr.str_group_concat(X_0:bat[:str], X_1:bit):str;\nPATTERN aggr.suball(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:any_1];\nCOMMENT "if all values in l are equal (per group) return the value, else nil";\nPATTERN aggr.suball(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bit):bat[:any_1];\nPATTERN aggr.suballnotequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:oid], X_5:bat[:oid], X_6:bit):bat[:bit];\nCOMMENT "if all values in r are not equal to l return true, else if r has nil nil else false, except if rid is nil (ie empty) then true; with candidate list";\nPATTERN aggr.suballnotequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:oid], X_5:bit):bat[:bit];\nCOMMENT "if all values in r are not equal to l return true, else if r has nil nil else false, except if rid is nil (ie empty) then true";\nCOMMENT "if all values in r are not equal to l return true, else if r has nil nil else false; with candidate list";\nPATTERN aggr.suballnotequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:bit];\nPATTERN aggr.subanyequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:oid], X_5:bat[:oid], X_6:bit):bat[:bit];\nCOMMENT "if any value in r is equal to l return true, else if r has nil nil else false, except if rid is nil (ie empty) then false; with candidate list";\nPATTERN aggr.subanyequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bat[:oid], X_5:bit):bat[:bit];\nCOMMENT "if any value in r is equal to l return true, else if r has nil nil else false, except if rid is nil (ie empty) then false";\nCOMMENT "if any value in r is equal to l return true, else if r has nil nil else false; with candidate list";\nPATTERN aggr.subanyequal(X_0:bat[:any_1], X_1:bat[:any_1], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:bit];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit) (X_5:bat[:bte], X_6:bat[:lng], X_7:bat[:lng]);\nCOMMENT "Grouped average aggregation";\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit) (X_5:bat[:int], X_6:bat[:lng], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit) (X_5:bat[:lng], X_6:bat[:lng], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit) (X_5:bat[:sht], X_6:bat[:lng], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:lng], X_2:bat[:lng], X_3:bat[:oid], X_4:bat[:any_1], X_5:bit):bat[:bte];\nCOMMENT "Grouped average aggregation combiner";\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:lng], X_2:bat[:lng], X_3:bat[:oid], X_4:bat[:any_1], X_5:bit):bat[:int];\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:lng], X_3:bat[:oid], X_4:bat[:any_1], X_5:bit):bat[:lng];\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:lng], X_2:bat[:lng], X_3:bat[:oid], X_4:bat[:any_1], X_5:bit):bat[:sht];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMENT "Grouped average aggregate";\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped average aggregate with candidates list";\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int):bat[:dbl];\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMENT "Grouped average aggregate, also returns count";\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit) (X_5:bat[:dbl], X_6:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMENT "Grouped average aggregate with candidates list, also returns count";\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit, X_5:int) (X_6:bat[:dbl], X_7:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subavg(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit, X_6:int) (X_7:bat[:dbl], X_8:bat[:lng]);\nCOMMAND aggr.subcorr(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped correlation aggregate";\nCOMMAND aggr.subcorr(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMENT "Grouped correlation aggregate with candidate list";\nCOMMAND aggr.subcorr(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcorr(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcount(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:lng];\nCOMMENT "Grouped count aggregate";\nCOMMAND aggr.subcount(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:lng];\nCOMMENT "Grouped count aggregate with candidates list";\nCOMMAND aggr.subcovariance(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped covariance sample aggregate";\nCOMMAND aggr.subcovariance(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMENT "Grouped covariance sample aggregate with candidate list";\nCOMMAND aggr.subcovariance(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariance(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped covariance population aggregate";\nCOMMAND aggr.subcovariancep(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:bte], X_1:bat[:bte], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMENT "Grouped covariance population aggregate with candidate list";\nCOMMAND aggr.subcovariancep(X_0:bat[:dbl], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:flt], X_1:bat[:flt], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:int], X_1:bat[:int], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:lng], X_1:bat[:lng], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nCOMMAND aggr.subcovariancep(X_0:bat[:sht], X_1:bat[:sht], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:dbl];\nPATTERN aggr.subexist(X_0:bat[:any], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:bit];\nPATTERN aggr.subexist(X_0:bat[:any], X_1:bat[:oid], X_2:bat[:oid], X_3:bit):bat[:bit];\nCOMMAND aggr.subjsonaggr(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit):bat[:str];\nCOMMENT "Grouped aggregation of values.";\nCOMMAND aggr.subjsonaggr(X_0:bat[:str], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit):bat[:str];\nCOMMAND aggr.subjsonaggr(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit):bat[:str];\nCOMMENT "Grouped aggregation of values with candidates list.";\nCOMMAND aggr.subjsonaggr(X_0:bat[:str], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit):bat[:str];\nCOMMAND aggr.submax(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:oid];\nCOMMENT "Grouped maximum aggregate";\nCOMMAND aggr.submax(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:any_1];\nCOMMAND aggr.submax(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:oid];\nCOMMENT "Grouped maximum aggregate with candidates list";\nCOMMAND aggr.submax(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:any_1];\nCOMMAND aggr.submedian(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:any_1];\nCOMMENT "Grouped median aggregate";\nCOMMAND aggr.submedian(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:any_1];\nCOMMENT "Grouped median aggregate with candidate list";\nCOMMAND aggr.submedian_avg(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:dbl];\nCOMMAND aggr.submedian_avg(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:dbl];\nCOMMAND aggr.submin(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:oid];\nCOMMENT "Grouped minimum aggregate";\nCOMMAND aggr.submin(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bit):bat[:any_1];\nCOMMAND aggr.submin(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:oid];\nCOMMENT "Grouped minimum aggregate with candidates list";\nCOMMAND aggr.submin(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:any_2], X_3:bat[:oid], X_4:bit):bat[:any_1];\nPATTERN aggr.subnot_exist(X_0:bat[:any], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:bit];\nPATTERN aggr.subnot_exist(X_0:bat[:any], X_1:bat[:oid], X_2:bat[:oid], X_3:bit):bat[:bit];\nPATTERN aggr.subnull(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bat[:oid], X_4:bit):bat[:bit];\nCOMMENT "if any value in l is nil with in a group return true for that group, else false; with candidate list";\nPATTERN aggr.subnull(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bit):bat[:bit];\nCOMMENT "if any value in l is nil with in a group return true for that group, else false";\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:bte];\nCOMMENT "Grouped product aggregate";\nCOMMAND aggr.subprod(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subprod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subprod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:flt];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:sht];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:sht];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:bte];\nCOMMENT "Grouped product aggregate with candidates list";\nCOMMAND aggr.subprod(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subprod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subprod(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:flt];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subprod(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:sht];\nCOMMAND aggr.subprod(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:sht];\nCOMMAND aggr.subquantile(X_0:bat[:any_1], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_2], X_4:bit):bat[:any_1];\nCOMMENT "Grouped quantile aggregate";\nCOMMAND aggr.subquantile(X_0:bat[:any_1], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_2], X_4:bat[:oid], X_5:bit):bat[:any_1];\nCOMMENT "Grouped quantile aggregate with candidate list";\nCOMMAND aggr.subquantile_avg(X_0:bat[:any_1], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_2], X_4:bit):bat[:dbl];\nCOMMAND aggr.subquantile_avg(X_0:bat[:any_1], X_1:bat[:dbl], X_2:bat[:oid], X_3:bat[:any_2], X_4:bat[:oid], X_5:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMENT "Grouped standard deviation (sample/non-biased) aggregate";\nCOMMAND aggr.substdev(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped standard deviation (sample/non-biased) aggregate with candidates list";\nCOMMAND aggr.substdev(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdev(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMENT "Grouped standard deviation (population/biased) aggregate";\nCOMMAND aggr.substdevp(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped standard deviation (population/biased) aggregate with candidates list";\nCOMMAND aggr.substdevp(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substdevp(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.substr_group_concat(X_0:bat[:str], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:str];\nCOMMENT "Grouped string concat";\nCOMMAND aggr.substr_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bat[:oid], X_3:bat[:any_1], X_4:bit, X_5:bit):bat[:str];\nCOMMENT "Grouped string concat with custom separator";\nCOMMAND aggr.substr_group_concat(X_0:bat[:str], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:str];\nCOMMENT "Grouped string concat with candidates list";\nCOMMAND aggr.substr_group_concat(X_0:bat[:str], X_1:bat[:str], X_2:bat[:oid], X_3:bat[:any_1], X_4:bat[:oid], X_5:bit, X_6:bit):bat[:str];\nCOMMENT "Grouped string concat with candidates list with custom separator";\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:bte];\nCOMMENT "Grouped sum aggregate";\nCOMMAND aggr.subsum(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subsum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subsum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:flt];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:sht];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:sht];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:bte];\nCOMMENT "Grouped sum aggregate with candidates list";\nCOMMAND aggr.subsum(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subsum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subsum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:flt];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:int];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:lng];\nCOMMAND aggr.subsum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:sht];\nCOMMAND aggr.subsum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:sht];\nCOMMAND aggr.subvariance(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMENT "Grouped variance (sample/non-biased) aggregate";\nCOMMAND aggr.subvariance(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped variance (sample/non-biased) aggregate with candidates list";\nCOMMAND aggr.subvariance(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariance(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMENT "Grouped variance (population/biased) aggregate";\nCOMMAND aggr.subvariancep(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bit, X_4:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMENT "Grouped variance (population/biased) aggregate with candidates list";\nCOMMAND aggr.subvariancep(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subvariancep(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1], X_3:bat[:oid], X_4:bit, X_5:bit):bat[:dbl];\nCOMMAND aggr.subzero_or_one(X_0:bat[:any_1], X_1:bat[:oid], X_2:bat[:oid], X_3:bit):bat[:any_1];\nCOMMAND aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:bte];\nCOMMENT "Grouped tail sum on bte";\nCOMMAND aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMAND aggr.sum(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail sum on dbl";\nCOMMAND aggr.sum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail sum on flt";\nCOMMAND aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail sum on int";\nCOMMAND aggr.sum(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail sum on lng";\nCOMMAND aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail sum on sht";\nCOMMAND aggr.sum(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:flt];\nCOMMAND aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMAND aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMAND aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:int];\nCOMMAND aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.sum(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:lng];\nCOMMAND aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:sht];\nCOMMAND aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:sht];\nCOMMENT "Calculate aggregate sum of B.";\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid]):bte;\nCOMMENT "Calculate aggregate sum of B with candidate list.";\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid]):int;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid]):lng;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid]):sht;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):bte;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bat[:oid], X_2:bit):sht;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bit):bte;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bit):int;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bit):lng;\nPATTERN aggr.sum(X_0:bat[:bte], X_1:bit):sht;\nPATTERN aggr.sum(X_0:bat[:dbl], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:dbl], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:dbl], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bat[:oid]):flt;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bat[:oid], X_2:bit):flt;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:flt], X_1:bit):flt;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid]):int;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid]):lng;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bit):int;\nPATTERN aggr.sum(X_0:bat[:int], X_1:bit):lng;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bat[:oid]):lng;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:lng], X_1:bit):lng;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid]):bte;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid]):int;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid]):lng;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid]):sht;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid], X_2:bit):bte;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bat[:oid], X_2:bit):sht;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bit):bte;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bit):int;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bit):lng;\nPATTERN aggr.sum(X_0:bat[:msk], X_1:bit):sht;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid]):dbl;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid]):int;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid]):lng;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid]):sht;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):int;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):lng;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bat[:oid], X_2:bit):sht;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bit):dbl;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bit):int;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bit):lng;\nPATTERN aggr.sum(X_0:bat[:sht], X_1:bit):sht;\nCOMMAND aggr.variance(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on bte";\nCOMMAND aggr.variance(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on dbl";\nCOMMAND aggr.variance(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on flt";\nCOMMAND aggr.variance(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on int";\nCOMMAND aggr.variance(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on lng";\nCOMMAND aggr.variance(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (sample/non-biased) on sht";\nCOMMENT "Gives the variance of all tail values";\nCOMMAND aggr.variancep(X_0:bat[:bte], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on bte";\nCOMMAND aggr.variancep(X_0:bat[:dbl], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on dbl";\nCOMMAND aggr.variancep(X_0:bat[:flt], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on flt";\nCOMMAND aggr.variancep(X_0:bat[:int], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on int";\nCOMMAND aggr.variancep(X_0:bat[:lng], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on lng";\nCOMMAND aggr.variancep(X_0:bat[:sht], X_1:bat[:oid], X_2:bat[:any_1]):bat[:dbl];\nCOMMENT "Grouped tail variance (population/biased) on sht";\nCOMMENT "if col contains exactly one value return this. Incase of more raise an exception else return nil";\nCOMMAND aggr.zero_or_one(X_0:bat[:any_1], X_1:bit):any_1;\nCOMMENT "if col contains exactly one value return this. Incase of more raise an exception if err is true else return nil";\nCOMMAND aggr.zero_or_one(X_0:bat[:any_1], X_1:bat[:bit]):any_1;\nPATTERN bataggr.allnotequal(X_0:bat[:any_1], X_1:bat[:any_1]):bit;\nPATTERN bataggr.anyequal(X_0:bat[:any_1], X_1:bat[:any_1]):bat[:bit];


url: =A person's reflections Fosun(Chinese Edition) de ZHU YAO YI: New paperback | liu xing\nArtículos relacionados a A person's reflections Fosun(Chinese Edition)\nPortada ZHU YAO YI A person's reflections Fosun(Chinese Edition)\nA person's reflections Fosun(Chinese Edition)\nZHU YAO YI\nISBN 10: 7807417153 / ISBN 13: 9787807417156\nShip out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2009-11-01 Language: Chinese Publisher: Wenhui Publishing Product Name : reflections of a person's Fosun : Zhu Yaoyi ISBN Number: 9787807417156 Publisher: Wenhui Publishing Product Type : Book Published: 2009 -11-01 printing time :2009 -11-02Four Satisfaction guaranteed,or money back. N° de ref. de la librería RW093812\nTítulo: A person's reflections Fosun(Chinese Edition)


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url: =ENHANCER OF ZEST... (1)\nTARGETING EZH2 (1)\nhomolog 2 (1)\n2. MicroRNA-615-5p targets insulin-like growth factor 2 and exerts tumor-suppressing functions in human esophageal squamous cell carcinoma PubMed SCOPUS SCIE\n3. DNA methylation enzyme inhibitor RG108 suppresses the radioresistance of esophageal cancer PubMed SCIE SCOPUS\n作者：Ou, Y; Zhang, Q; Tang, YT; Lu, ZH; Lu, XJ; Zhou, XF; Liu, CM\n作者机构：[Ou, Yao; Tang, Yiting; Lu, Zhonghua; Lu, Xujing; Zhou, Xifa] Soochow Univ, Changzhou Tumor Hosp, Dept Radiotherapy, 68 Honghe Rd, Changzhou 213001, J 更多[Ou, Yao; Tang, Yiting; Lu, Zhonghua; Lu, Xujing; Zhou, Xifa] Soochow Univ, Changzhou Tumor Hosp, Dept Radiotherapy, 68 Honghe Rd, Changzhou 213001, Jiangsu, Peoples R China.; [Zhang, Quan] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Radiotherapy, Huaian 223300, Jiangsu, Peoples R China.; [Liu, Changmin] Binzhou Med Coll, Affiliated Hosp, Dept Oncol, 661 Yellow River Second Rd, Binzhou 256603, Shandong, Peoples R China. 收起\n关键词：Apoptosis; Esophageal cancer; Methylation; Radiosensitivity; RG108\n4. Salidroside prevents skin carcinogenesis induced by DMBA/TPA in a mouse model through suppression of inflammation and promotion of apoptosis PubMed SCIE SCOPUS\n作者：Kong, YH; Xu, SP\n作者机构：[Kong, Ying-Hui; Xu, Su-Ping] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Dermatol, 6 Beijing Rd West, Huaian 223300, Jiangsu, Peoples R China.\n关键词：Apoptosis; Inflammation; NF-κB; Salidroside; Skin cancer\n5. Downregulation of RPN2 induces apoptosis and inhibits migration and invasion in colon carcinoma PubMed SCOPUS SCIE\n作者：Bi, CY; Jiang, BF\n作者机构：[Bi, Chongyao] Jiaozhou Cent Hosp Qingdao, Dept Gen Surg, Qingdao 266300, Shandong, Peoples R China.; [Jiang, Baofei] Nanjing Med Univ, Huaian Peoples 更多[Bi, Chongyao] Jiaozhou Cent Hosp Qingdao, Dept Gen Surg, Qingdao 266300, Shandong, Peoples R China.; [Jiang, Baofei] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Gen Surg, 6 Beijing Rd West, Huaian 223300, Jiangsu, Peoples R China. 收起\n关键词：Apoptosis; Colon carcinoma; Invasion; JAK2/STAT3; Migration; RPN2\n6. Integrated bioinformatics analysis reveals that the expression of cathepsin S is associated with lymph node metastasis and poor prognosis in papillary thyroid cancer PubMed SCIE SCOPUS\n作者：Tan, J; Qian, XX; Song, B; An, XM; Cai, TT; Zuo, ZH; Ding, DF; Lu, YB; Li, H\n作者机构：[Tan, Juan; Qian, Xiaoxiao; An, Xiumin; Cai, Tingting; Zuo, Zhihua; Ding, Dafa; Lu, Yibing] Nanjing Med Univ, Affiliated Hosp 2, Dept Endocrinol, 125 更多[Tan, Juan; Qian, Xiaoxiao; An, Xiumin; Cai, Tingting; Zuo, Zhihua; Ding, Dafa; Lu, Yibing] Nanjing Med Univ, Affiliated Hosp 2, Dept Endocrinol, 125 Jiangjiayuan Rd, Nanjing 211166, Jiangsu, Peoples R China.; [Tan, Juan] Nanjing Med Univ, Affiliated Huaian Peoples Hosp 1, Dept Gerontol, Huaian 223300, Jiangsu, Peoples R China.; [Song, Bin] Yangzhou Univ, Clin Med Coll, Dept Endocrinol, Yangzhou 225001, Jiangsu, Peoples R China.; [Li, Hong] Nanjing Med Univ, Affiliated Huaian Peoples Hosp 1, Med Examinat Ctr, 6 Beijing West Rd, Huaian 223300, Jiangsu, Peoples R China. 收起\n关键词：Bioinformatics analysis; CTSS; Differentially-expressed genes; Lymph node metastasis; Papillary thyroid cancer; Prognosis\n7. Tumor-penetrating peptide fused EGFR single-domain antibody enhances radiation responses following EGFR inhibition in gastric cancer PubMed SCIE SCOPUS\n作者：Ji, FZ; Sha, HZ; Meng, FY; Zhu, AQ; Ding, NQ; Zhang, H; Xu, H; Qian, HQ; Yu, LX; Liu, QZ; Liu, BR\n作者机构：[Ji, Fuzhi; Liu, Baorui] Nanjing Med Univ, Clin Coll, Nanjing Drum Tower Hosp, Ctr Comprehens Canc, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples 更多[Ji, Fuzhi; Liu, Baorui] Nanjing Med Univ, Clin Coll, Nanjing Drum Tower Hosp, Ctr Comprehens Canc, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples R China.; [Ji, Fuzhi; Sha, Huizi; Meng, Fanyan; Zhu, Anqing; Ding, Naiqing; Zhang, Hang; Qian, Hanqing; Yu, Lixia; Liu, Baorui] Nanjing Univ, Sch Med, Drum Tower Hosp, Ctr Comprehens Canc, Nanjing 210008, Jiangsu, Peoples R China.; [Ji, Fuzhi; Sha, Huizi; Meng, Fanyan; Zhu, Anqing; Ding, Naiqing; Zhang, Hang; Qian, Hanqing; Yu, Lixia; Liu, Baorui] Nanjing Univ, Clin Canc Inst, Nanjing 210008, Jiangsu, Peoples R China.; [Ji, Fuzhi] Nanjing Med Coll, Huaian Hosp, Dept Radiotherapy Oncol, Huaian 223000, Jiangsu, Peoples R China.; [Ji, Fuzhi] Huaian First Peoples Hosp, Huaian 223000, Jiangsu, Peoples R China.; [Xu, Hui; Liu, Qizhan] Nanjing Med Univ, Sch Publ Hlth, Inst Toxicol, 101 Longmian Ave, Nanjing 211166, Jiangsu, Peoples R China. 收起\n关键词：Anti-epidermal growth factor receptor; Gastric cancer; IRGD; Radiotherapy; Recombinant protein; Single-domain antibody\n8. Co-treatment with BEZ235 enhances chemosensitivity of A549/DDP cells to cisplatin via inhibition of PI3K/Akt/mTOR signaling and downregulation of ERCC1 expression PubMed SCIE SCOPUS\n作者：Xia, AZ; Li, HH; Li, R; Lu, LH; Wu, XL\n作者机构：[Xia, Anzhou; Li, Huanhuan; Li, Ran; Lu, Linghong] Xuzhou Med Univ, Jiangsu Key Lab New Drug Res & Clin Pharm, Xuzhou 221004, Jiangsu, Peoples R China 更多[Xia, Anzhou; Li, Huanhuan; Li, Ran; Lu, Linghong] Xuzhou Med Univ, Jiangsu Key Lab New Drug Res & Clin Pharm, Xuzhou 221004, Jiangsu, Peoples R China.; [Wu, Xiaoli] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Pharm, 1 West Huanghe Rd, Huaian 223300, Jiangsu, Peoples R China. 收起\n关键词：A549/DDP cells; Apoptosis; BEZ235; Cisplatin; ERCC1; Resistance\n9. MicroRNA-30d inhibits the migration and invasion of human esophageal squamous cell carcinoma cells via the post -transcriptional regulation of enhancer of zeste homolog 2 PubMed SCIE SCOPUS\n10. MicroRNA-379-5p plays a tumor-suppressive role in human bladder cancer growth and metastasis by directly targeting MDM2 SCIE PubMed SCOPUS\n作者：Wu, DY; Niu, XB; Tao, J; Li, PC; Lu, Q; Xu, AM; Chen, W; Wang, ZJ\n作者机构：[Wu, Deyao; Niu, Xiaobing; Tao, Jun; Li, Pengchao; Lu, Qiang; Xu, Aiming; Chen, Wei; Wang, Zengjun] Nanjing Med Univ, Affiliated Hosp 1, State Key Lab 更多[Wu, Deyao; Niu, Xiaobing; Tao, Jun; Li, Pengchao; Lu, Qiang; Xu, Aiming; Chen, Wei; Wang, Zengjun] Nanjing Med Univ, Affiliated Hosp 1, State Key Lab Reprod Med, 300 Guangzhou Rd, Nanjing 210029, Jiangsu, Peoples R China.; [Wu, Deyao; Niu, Xiaobing; Tao, Jun; Li, Pengchao; Lu, Qiang; Xu, Aiming; Chen, Wei; Wang, Zengjun] Nanjing Med Univ, Affiliated Hosp 1, Dept Urol, Nanjing 210029, Jiangsu, Peoples R China.; [Wu, Deyao] Yancheng City 1 Peoples Hosp, Nantong Med Coll, Affiliated Hosp 4, Dept Urol, Yancheng, Jiangsu, Peoples R China.; [Niu, Xiaobing] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Urol, Huaian, Jiangsu, Peoples R China. 收起\n关键词：Bladder cancer; Invasion; MicroRNA-379-5p; Migration; Mouse double minute 2; Proliferation\n11. Galangin suppresses human laryngeal carcinoma via modulation of caspase-3 and AKT signaling pathways PubMed SCIE SCOPUS\n作者：Wang, HX; Tang, C\n作者机构：[Wang, Hai-Xu] Xuzhou Med Univ, Affiliated Huaian Hosp, Huaian Peoples Hosp 2, Huaian 223002, Jiangsu, Peoples R China.; [Tang, Chen] Nanjing Med Un 更多[Wang, Hai-Xu] Xuzhou Med Univ, Affiliated Huaian Hosp, Huaian Peoples Hosp 2, Huaian 223002, Jiangsu, Peoples R China.; [Tang, Chen] Nanjing Med Univ, Huaian Peoples Hosp 1, 6 Beijing Rd West, Huaian 223300, Jiangsu, Peoples R China. 收起\n关键词：AKT/NF-κB/ mTOR; Caspase-3; Galangin; Laryngeal cancer\n12. microRNA-206 attenuates tumor proliferation and migration involving the downregulation of NOTCH3 in colorectal cancer PubMed SCIE SCOPUS\n作者：Wang, XW; Xi, XQ; Wu, J; Wan, YY; Hui, HX; Cao, XF\n作者机构：[Wang, Xiao-Wei; Wan, Yi-Yuan; Hui, Hong-Xia] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Med Oncol, Huaian 223300, Jiangsu, Peoples R China.; [Xi 更多[Wang, Xiao-Wei; Wan, Yi-Yuan; Hui, Hong-Xia] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Med Oncol, Huaian 223300, Jiangsu, Peoples R China.; [Xi, Xue-Qin] Xuzhou Med Coll, Huaian Hosp, Dept Clin Lab, Huaian 223002, Jiangsu, Peoples R China.; [Wu, Jian] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Pathol, Huaian 223300, Jiangsu, Peoples R China.; [Cao, Xiu-Feng] Nanjing Med Univ, Nanjing Hosp 1, Dept Surg Oncol, Nanjing 210000, Jiangsu, Peoples R China. 收起\n关键词：Colorectal cancer; Migration; MiR-206; NOTCH3; Proliferation\n13. Targeted delivery of doxorubicin to breast cancer cells by aptamer functionalized DOTAP/DOPE liposomes SCIE SCOPUS PubMed\n作者：Song, XL; Ren, Y; Zhang, J; Wang, G; Han, XD; Zheng, W; Zhen, LL\n作者机构：[Ren, Yi; Han, Xuedong; Zhen, Linlin] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Breast & Thyroid Surg, Huaian, Jiangsu, Peoples R China.; [Song, 更多[Ren, Yi; Han, Xuedong; Zhen, Linlin] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Breast & Thyroid Surg, Huaian, Jiangsu, Peoples R China.; [Song, Xingli; Ren, Yi; Zheng, Wei] Nanjing Med Univ, Affiliated Hosp 1, Dept Breast Surg, Nanjing 210029, Jiangsu, Peoples R China.; [Song, Xingli; Wang, Gang] Beijing Aerosp Gen Hosp, Dept Gen Surg, Beijing, Peoples R China.; [Zhang, Jing] Xuzhou Tumor Hosp, Dept Breast Surg, Xuzhou, Jiangsu, Peoples R China. 收起\n关键词：Aptamer; Breast cancer; Cell-SELEX; Liposomes\n14. Expression of the lysyl oxidase propeptide in hepatocellular carcinoma and its clinical relevance SCIE SCOPUS PubMed\n作者：Zheng, Y; Wang, XM; Wang, HD; Yan, W; Zhang, Q; Chang, X\n作者机构：[Zheng, Ying] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Anesthesia, Huaian 223300, Jiangsu, Peoples R China.; [Wang, Xuemei] Fudan Univ, Dept Ul 更多[Zheng, Ying] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Anesthesia, Huaian 223300, Jiangsu, Peoples R China.; [Wang, Xuemei] Fudan Univ, Dept Ultrasound, Obstet & Gynecol Hosp, Shanghai 200011, Peoples R China.; [Wang, Haidong] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Obstet & Gynecol, Huaian 223300, Jiangsu, Peoples R China.; [Yan, Wei] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Gastroenterol, Huaian 223300, Jiangsu, Peoples R China.; [Zhang, Quan] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Oncol, Huaian 223300, Jiangsu, Peoples R China.; [Chang, Xin] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Imaging Med Ctr, Huaian 223300, Jiangsu, Peoples R China. 收起\n关键词：Extracellular signal-regulated kinase; Growth; Hepatocellular carcinoma; Lysyl oxidase propeptide; Migration


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