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  1. Book ; Online: R-Judge

    Yuan, Tongxin / He, Zhiwei / Dong, Lingzhong / Wang, Yiming / Zhao, Ruijie / Xia, Tian / Xu, Lizhen / Zhou, Binglin / Li, Fangqi / Zhang, Zhuosheng / Wang, Rui / Liu, Gongshen

    Benchmarking Safety Risk Awareness for LLM Agents

    2024  

    Abstract: ... within diverse environments. We introduce R-Judge, a benchmark crafted to evaluate the proficiency of LLMs ... in judging safety risks given agent interaction records. R-Judge comprises 162 agent interaction records ... consensus on safety with annotated safety risk labels and high-quality risk descriptions. Utilizing R-Judge ...

    Abstract Large language models (LLMs) have exhibited great potential in autonomously completing tasks across real-world applications. Despite this, these LLM agents introduce unexpected safety risks when operating in interactive environments. Instead of centering on LLM-generated content safety in most prior studies, this work addresses the imperative need for benchmarking the behavioral safety of LLM agents within diverse environments. We introduce R-Judge, a benchmark crafted to evaluate the proficiency of LLMs in judging safety risks given agent interaction records. R-Judge comprises 162 agent interaction records, encompassing 27 key risk scenarios among 7 application categories and 10 risk types. It incorporates human consensus on safety with annotated safety risk labels and high-quality risk descriptions. Utilizing R-Judge, we conduct a comprehensive evaluation of 8 prominent LLMs commonly employed as the backbone for agents. The best-performing model, GPT-4, achieves 72.29% in contrast to the human score of 89.38%, showing considerable room for enhancing the risk awareness of LLMs. Notably, leveraging risk descriptions as environment feedback significantly improves model performance, revealing the importance of salient safety risk feedback. Furthermore, we design an effective chain of safety analysis technique to help the judgment of safety risks and conduct an in-depth case study to facilitate future research. R-Judge is publicly available at https://github.com/Lordog/R-Judge.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
    Publishing date 2024-01-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: The r

    Liu, Kai / Liu, Changcun / Xia, Jindong

    Frontiers in bioengineering and biotechnology

    2022  Volume 10, Page(s) 1004414

    Abstract: ... between the number of metal ion chelators and r ...

    Abstract We report the preparation and characterization of gadolinium (Gd)- or manganese (Mn)-loaded dendrimers and Gd-loaded dendrimer-entrapped gold nanoparticles (Gd-Au DENPs) to examine the relationship between the number of metal ion chelators and r
    Language English
    Publishing date 2022-10-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2022.1004414
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: R

    Jin, Tongtong / Yin, Jinlong / Wang, Tao / Xue, Song / Li, Bowen / Zong, Tingxuan / Yang, Yunhua / Liu, Hui / Liu, Mengzhuo / Xu, Kai / Wang, Liqun / Xing, Guangnan / Zhi, Haijian / Li, Kai

    Journal of integrative plant biology

    2022  Volume 65, Issue 3, Page(s) 838–853

    Abstract: Soybean mosaic virus (SMV) is one of the most devastating viral pathogens of soybean (Glycine max (L.) Merr). In total, 22 Chinese SMV strains (SC1-SC22) have been classified based on the responses of 10 soybean cultivars to these pathogens. However, ... ...

    Abstract Soybean mosaic virus (SMV) is one of the most devastating viral pathogens of soybean (Glycine max (L.) Merr). In total, 22 Chinese SMV strains (SC1-SC22) have been classified based on the responses of 10 soybean cultivars to these pathogens. However, although several SMV-resistance loci in soybean have been identified, no gene conferring SMV resistance in the resistant soybean cultivar (cv.) Kefeng No.1 has been cloned and verified. Here, using F
    MeSH term(s) Glycine max/genetics ; Viral Proteins ; Potyvirus/genetics ; Ribonucleases ; Plant Diseases/genetics
    Chemical Substances Viral Proteins ; Ribonucleases (EC 3.1.-)
    Language English
    Publishing date 2022-12-31
    Publishing country China (Republic : 1949- )
    Document type Journal Article
    ZDB-ID 2130095-1
    ISSN 1744-7909 ; 1672-9072
    ISSN (online) 1744-7909
    ISSN 1672-9072
    DOI 10.1111/jipb.13401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: R-loop and diseases: the cell cycle matters.

    Xu, Yuqin / Jiao, Yue / Liu, Chengbin / Miao, Rui / Liu, Chunyan / Wang, Yilong / Ma, Chunming / Liu, Jiao

    Molecular cancer

    2024  Volume 23, Issue 1, Page(s) 84

    Abstract: ... the cell cycle, including the R-loop that is formed throughout this process. R-loop is a triple-stranded ... from bacteria to mammals. The existence of the R-loop has important significance for the regulation of various ... physiological processes. However, aberrant accumulation of R-loop due to its limited resolving ability will be detrimental ...

    Abstract The cell cycle is a crucial biological process that is involved in cell growth, development, and reproduction. It can be divided into G1, S, G2, and M phases, and each period is closely regulated to ensure the production of two similar daughter cells with the same genetic material. However, many obstacles influence the cell cycle, including the R-loop that is formed throughout this process. R-loop is a triple-stranded structure, composed of an RNA: DNA hybrid and a single DNA strand, which is ubiquitous in organisms from bacteria to mammals. The existence of the R-loop has important significance for the regulation of various physiological processes. However, aberrant accumulation of R-loop due to its limited resolving ability will be detrimental for cells. For example, DNA damage and genomic instability, caused by the R-loop, can activate checkpoints in the cell cycle, which in turn induce cell cycle arrest and cell death. At present, a growing number of factors have been proven to prevent or eliminate the accumulation of R-loop thereby avoiding DNA damage and mutations. Therefore, we need to gain detailed insight into the R-loop resolution factors at different stages of the cell cycle. In this review, we review the current knowledge of factors that play a role in resolving the R-loop at different stages of the cell cycle, as well as how mutations of these factors lead to the onset and progression of diseases.
    MeSH term(s) Humans ; R-Loop Structures ; Cell Cycle/genetics ; Animals ; DNA Damage ; Genomic Instability ; Neoplasms/pathology ; Neoplasms/metabolism ; Neoplasms/genetics ; Mutation
    Language English
    Publishing date 2024-04-27
    Publishing country England
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2091373-4
    ISSN 1476-4598 ; 1476-4598
    ISSN (online) 1476-4598
    ISSN 1476-4598
    DOI 10.1186/s12943-024-02000-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Measurement of the Ratios of Branching Fractions R(D^{*}) and R(D^{0}).

    Aaij, R / Abdelmotteleb, A S W / Abellan Beteta, C / Abudinén, F / Ackernley, T / Adeva, B / Adinolfi, M / Adlarson, P / Afsharnia, H / Agapopoulou, C / Aidala, C A / Ajaltouni, Z / Akar, S / Akiba, K / Albicocco, P / Albrecht, J / Alessio, F / Alexander, M / Alfonso Albero, A /
    Aliouche, Z / Alvarez Cartelle, P / Amalric, R / Amato, S / Amey, J L / Amhis, Y / An, L / Anderlini, L / Andersson, M / Andreianov, A / Andreotti, M / Andreou, D / Ao, D / Archilli, F / Artamonov, A / Artuso, M / Aslanides, E / Atzeni, M / Audurier, B / Bachiller Perea, I B / Bachmann, S / Bachmayer, M / Back, J J / Bailly-Reyre, A / Baladron Rodriguez, P / Balagura, V / Baldini, W / Baptista de Souza Leite, J / Barbetti, M / Barlow, R J / Barsuk, S / Barter, W / Bartolini, M / Baryshnikov, F / Basels, J M / Bassi, G / Batsukh, B / Battig, A / Bay, A / Beck, A / Becker, M / Bedeschi, F / Bediaga, I B / Beiter, A / Belin, S / Bellee, V / Belous, K / Belov, I / Belyaev, I / Benane, G / Bencivenni, G / Ben-Haim, E / Berezhnoy, A / Bernet, R / Bernet Andres, S / Berninghoff, D / Bernstein, H C / Bertella, C / Bertolin, A / Betancourt, C / Betti, F / Bezshyiko, Ia / Bhasin, S / Bhom, J / Bian, L / Bieker, M S / Biesuz, N V / Billoir, P / Biolchini, A / Birch, M / Bishop, F C R / 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Barajas, C A / Chefdeville, M / Chen, C / Chen, S / Chernov, A / Chernyshenko, S / Chobanova, V / Cholak, S / Chrzaszcz, M / Chubykin, A / Chulikov, V / Ciambrone, P / Cicala, M F / Cid Vidal, X / Ciezarek, G / Cifra, P / Ciullo, G / Clarke, P E L / Clemencic, M / Cliff, H V / Closier, J / Cobbledick, J L / Coco, V / Coelho, J A B / Cogan, J / Cogneras, E / Cojocariu, L / Collins, P / Colombo, T / Congedo, L / Contu, A / Cooke, N / Corredoira, I / Corti, G / Couturier, B / Craik, D C / Cruz Torres, M / Currie, R / Da Silva, C L / Dadabaev, S / Dai, L / Dai, X / Dall'Occo, E / Dalseno, J / D'Ambrosio, C / Daniel, J / Danilina, A / d'Argent, P / Davies, J E / Davis, A / De Aguiar Francisco, O / de Boer, J / De Bruyn, K / De Capua, S / De Cian, M / De Freitas Carneiro Da Graca, U / De Lucia, E / De Miranda, J M / De Paula, L / De Serio, M / De Simone, D / De Simone, P / De Vellis, F / de Vries, J A / Dean, C T / Debernardis, F / Decamp, D / Dedu, V / Del Buono, L / Delaney, B / Dembinski, H-P / Denysenko, V / Deschamps, O / Dettori, F / Dey, B / Di Nezza, P / Diachkov, I / Didenko, S / Dieste Maronas, L / Ding, S / Dobishuk, V / Dolmatov, A / Dong, C / Donohoe, A M / Dordei, F / Dos Reis, A C / Douglas, L / Downes, A G / Duda, P / Dudek, M W / Dufour, L / Duk, V / Durante, P / Duras, M M / Durham, J M / Dutta, D / Dziurda, A / Dzyuba, A / Easo, S / Egede, U / Egorychev, V / Eirea Orro, C / Eisenhardt, S / Ejopu, E / Ek-In, S / Eklund, L / Elashri, M E / Ellbracht, J / Ely, S / Ene, A / Epple, E / Escher, S / Eschle, J / Esen, S / Evans, T / Fabiano, F / Falcao, L N / Fan, Y / Fang, B / Fantini, L / Faria, M / Farry, S / Fazzini, D / Felkowski, L F / Feo, M / Fernandez Gomez, M / Fernez, A D / Ferrari, F / Ferreira Lopes, L / Ferreira Rodrigues, F / Ferreres Sole, S / Ferrillo, M / Ferro-Luzzi, M / Filippov, S / Fini, R A / Fiorini, M / Firlej, M / Fischer, K M / Fitzgerald, D S / Fitzpatrick, C / Fiutowski, T / Fleuret, F / Fontana, M / Fontanelli, F / Forty, R / Foulds-Holt, D / Franco Lima, V / Franco Sevilla, M / Frank, M / Franzoso, E / Frau, G / Frei, C / Friday, D A / Frontini, L / Fu, J / Fuehring, Q / Fulghesu, T / Gabriel, E / Galati, G / Galati, M D / Gallas Torreira, A / Galli, D / Gambetta, S / Gandelman, M / Gandini, P / Gao, Y / Garau, M / Garcia Martin, L M / Garcia Moreno, P / García Pardiñas, J / Garcia Plana, B / Garcia Rosales, F A / Garrido, L / Gaspar, C / Geertsema, R E / Gerick, D / Gerken, L L / Gersabeck, E / Gersabeck, M / Gershon, T / Giambastiani, L / Gibson, V / Giemza, H K / Gilman, A L / Giovannetti, M / Gioventù, A / Gironella Gironell, P / Giugliano, C / Giza, M A / Gizdov, K / Gkougkousis, E L / Gligorov, V V / Göbel, C / Golobardes, E / Golubkov, D / Golutvin, A / Gomes, A / Gomez Fernandez, S / Goncalves Abrantes, F / Goncerz, M / Gong, G / Gorelov, I V / Gotti, C / Grabowski, J P / Grammatico, T / Granado Cardoso, L A / Graugés, E / Graverini, E / Graziani, G / Grecu, A T / Greeven, L M / Grieser, N A / Grillo, L / Gromov, S / Gruberg Cazon, B R / Gu, C / Guarise, M / Guittiere, M / Günther, P A / Gushchin, E / Guth, A / Guz, Y / Gys, T / Hadavizadeh, T / Hadjivasiliou, C / Haefeli, G / Haen, C / Haimberger, J / Haines, S C / Halewood-Leagas, T / Halvorsen, M M / Hamilton, P M / Hammerich, J / Han, Q / Han, X / Hansen, E B / Hansmann-Menzemer, S / Hao, L / Harnew, N / Harrison, T / Hasse, C / Hatch, M / He, J / Heijhoff, K / Hemmer, F H / Henderson, C / Henderson, R D L / Hennequin, A M / Hennessy, K / Henry, L / Herd, J / Heuel, J / Hicheur, A / Hill, D / Hilton, M / Hollitt, S E / Horswill, J / Hou, R / Hou, Y / Hu, J / Hu, W / Hu, X / Huang, W / Huang, X / Hulsbergen, W / Hunter, R J / Hushchyn, M / Hutchcroft, D / Ibis, P / Idzik, M / Ilin, D / Ilten, P / Inglessi, A / Iniukhin, A / Ishteev, A / Ivshin, K / Jacobsson, R / Jage, H / Jaimes Elles, S J / Jakobsen, S / Jans, E / Jashal, B K / Jawahery, A / Jevtic, V / Jiang, E / Jiang, X / Jiang, Y / John, M / Johnson, D / Jones, C R / Jones, T P / Jost, B / Jurik, N / Juszczak, I / Kandybei, S / Kang, Y / Karacson, M / Karpenkov, D / Karpov, M / Kautz, J W / Keizer, F / Keller, D M / Kenzie, M / Ketel, T / Khanji, B / Kharisova, A / Kholodenko, S / Khreich, G / Kirn, T / Kirsebom, V S / Kitouni, O / Klaver, S / Kleijne, N / Klimaszewski, K / Kmiec, M R / Koliiev, S / Kolk, L / Kondybayeva, A / Konoplyannikov, A / Kopciewicz, P / Kopecna, R / Koppenburg, P / Korolev, M / Kostiuk, I / Kot, O / Kotriakhova, S / Kozachuk, A / Kravchenko, P / Kravchuk, L / Krawczyk, R D / Kreps, M / Kretzschmar, S / Krokovny, P / Krupa, W / Krzemien, W / Kubat, J / Kubis, S / Kucewicz, W / Kucharczyk, M / Kudryavtsev, V / Kulikova, E K / Kupsc, A / Lacarrere, D / Lafferty, G / Lai, A / Lampis, A / Lancierini, D / Landesa Gomez, C / Lane, J J / Lane, R / Langenbruch, C / Langer, J / Lantwin, O / Latham, T / Lazzari, F / Lazzaroni, M / Le Gac, R / Lee, S H / Lefèvre, R / Leflat, A / Legotin, S / Lenisa, P / Leroy, O / Lesiak, T / Leverington, B / Li, A / Li, H / Li, K / Li, P / Li, P-R / Li, S / Li, T / Li, Y / Li, Z / Liang, X / Lin, C / Lin, T / Lindner, R / Lisovskyi, V / Litvinov, R / Liu, G / Liu, H / Liu, Q / Liu, S / Lobo Salvia, A / Loi, A / Lollini, R / Lomba Castro, J / Longstaff, I / Lopes, J H / Lopez Huertas, A / López Soliño, S / Lovell, G H / Lu, Y / Lucarelli, C / Lucchesi, D / Luchuk, S / Lucio Martinez, M / Lukashenko, V / Luo, Y / Lupato, A / Luppi, E / Lusiani, A / Lynch, K / Lyu, X-R / Ma, R / Maccolini, S / Machefert, F / Maciuc, F / Mackay, I / Macko, V / Madhan Mohan, L R / Maevskiy, A / Maisuzenko, D / Majewski, M W / Malczewski, J J / Malde, S / Malecki, B / Malinin, A / Maltsev, T / Manca, G / Mancinelli, G / Mancuso, C / Manera Escalero, R / Manuzzi, D / Manzari, C A / Marangotto, D / Marchand, J F / Marconi, U / Mariani, S / Marin Benito, C / Marks, J / Marshall, A M / Marshall, P J / Martelli, G / Martellotti, G / Martinazzoli, L / Martinelli, M / Martinez Santos, D / Martinez Vidal, F / Massafferri, A / Materok, M / Matev, R / Mathad, A / Matiunin, V / Matteuzzi, C / Mattioli, K R / Mauri, A / Maurice, E / Mauricio, J / Mazurek, M / McCann, M / Mcconnell, L / McGrath, T H / McHugh, N T / McNab, A / McNulty, R / Mead, J V / Meadows, B / Meier, G / Melnychuk, D / Meloni, S / Merk, M / Merli, A / Meyer Garcia, L / Miao, D / Mikhasenko, M / Milanes, D A / Millard, E / Milovanovic, M / Minard, M-N / Minotti, A / Miralles, T / Mitchell, S E / Mitreska, B / Mitzel, D S / Mödden, A / Mohammed, R A / Moise, R D / Mokhnenko, S / Mombächer, T / Monk, M / Monroy, I A / Monteil, S / Morello, G / Morello, M J / Morgenthaler, M P / Moron, J / Morris, A B / Morris, A G / Mountain, R / Mu, H / Muhammad, E / Muheim, F / Mulder, M / Müller, K / Murphy, C H / Murray, D / Murta, R / Muzzetto, P / Naik, P / Nakada, T / Nandakumar, R / Nanut, T / Nasteva, I / Needham, M / Neri, N / Neubert, S / Neufeld, N / Neustroev, P / Newcombe, R / Nicolini, J / Nicotra, D / Niel, E M / 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I / Polycarpo, E / Ponce, S / Popov, D / Poslavskii, S / Prasanth, K / Promberger, L / Prouve, C / Pugatch, V / Puill, V / Punzi, G / Qi, H R / Qian, W / Qin, N / Qu, S / Quagliani, R / Raab, N V / Rachwal, B / Rademacker, J H / Rajagopalan, R / Rama, M / Ramos Pernas, M / Rangel, M S / Ratnikov, F / Raven, G / Rebollo De Miguel, M / Redi, F / Reich, J / Reiss, F / Remon Alepuz, C / Ren, Z / Resmi, P K / Ribatti, R / Ricci, A M / Ricciardi, S / Richardson, K / Richardson-Slipper, M / Rinnert, K / Robbe, P / Robertson, G / Rodrigues, A B / Rodrigues, E / Rodriguez Fernandez, E / Rodriguez Lopez, J A / Rodriguez Rodriguez, E / Rolf, D L / Rollings, A / Roloff, P / Romanovskiy, V / Romero Lamas, M / Romero Vidal, A / Roth, J D / Rotondo, M / Rudolph, M S / Ruf, T / Ruiz Fernandez, R A / Ruiz Vidal, J / Ryzhikov, A / Ryzka, J / Saborido Silva, J J / Sagidova, N / Sahoo, N / Saitta, B / Salomoni, M / Sanchez Gras, C / Sanderswood, I / Santacesaria, R / Santamarina Rios, C / Santimaria, M / Santovetti, E / Saranin, D / Sarpis, G / Sarpis, M / Sarti, A / Satriano, C / Satta, A / Saur, M / Savrina, D / Sazak, H / Scantlebury Smead, L G / Scarabotto, A / Schael, S / Scherl, S / Schiller, M / Schindler, H / Schmelling, M / Schmidt, B / Schmitt, S / Schneider, O / Schopper, A / Schubiger, M / Schulte, S / Schune, M H / Schwemmer, R / Sciascia, B / Sciuccati, A / Sellam, S / Semennikov, A / Senghi Soares, M / Sergi, A / Serra, N / Sestini, L / Seuthe, A / Shang, Y / Shangase, D M / Shapkin, M / Shchemerov, I / Shchutska, L / Shears, T / Shekhtman, L / Shen, Z / Sheng, S / Shevchenko, V / Shi, B / Shields, E B / Shimizu, Y / Shmanin, E / Shorkin, R / Shupperd, J D / Siddi, B G / Silva Coutinho, R / Simi, G / Simone, S / Singla, M / Skidmore, N / Skuza, R / Skwarnicki, T / Slater, M W / Smallwood, J C / Smeaton, J G / Smith, E / Smith, K / Smith, M / Snoch, A / Soares Lavra, L / Sokoloff, M D / Soler, F J P / Solomin, A / Solovev, A / Solovyev, I / Song, R / Souza De Almeida, F L / Souza De Paula, B / Spaan, B / Spadaro Norella, E / Spedicato, E / Spiridenkov, E / Spradlin, P / Sriskaran, V / Stagni, F / Stahl, M / Stahl, S / Stanislaus, S / Stein, E N / Steinkamp, O / Stenyakin, O / Stevens, H / Stone, S / Strekalina, D / Su, Y S / Suljik, F / Sun, J / Sun, L / Sun, Y / Svihra, P / Swallow, P N / Swientek, K / Szabelski, A / Szumlak, T / Szymanski, M / Tan, Y / Taneja, S / Tat, M D / Terentev, A / Teubert, F / Thomas, E / Thompson, D J D / Thomson, K A / Tilquin, H / Tisserand, V / T'Jampens, S / Tobin, M / Tomassetti, L / Tonani, G / Tong, X / Torres Machado, D / Tou, D Y / Trilov, S M / Trippl, C / Tuci, G / Tuning, N / Ukleja, A / Unverzagt, D J / Usachov, A / Ustyuzhanin, A / Uwer, U / Vagner, A / Vagnoni, V / Valassi, A / Valenti, G / Valls Canudas, N / Van Dijk, M / Van Hecke, H / van Herwijnen, E / Van Hulse, C B / van Veghel, M / Vazquez Gomez, R / Vazquez Regueiro, P / Vázquez Sierra, C / Vecchi, S / Velthuis, J J / Veltri, M / Venkateswaran, A / Veronesi, M / Vesterinen, M / Vieira, D / Vieites Diaz, M / Vilasis-Cardona, X / Vilella Figueras, E / Villa, A / Vincent, P / Volle, F C / Vom Bruch, D / Vorobyev, A / Vorobyev, V / Voropaev, N / Vos, K / Vrahas, C / Walsh, J / Walton, E J / Wan, G / Wang, C / Wang, G / Wang, J / Wang, M / Wang, R / Wang, X / Wang, Y / Wang, Z / Ward, J A / Watson, N K / Websdale, D / Wei, Y / Westhenry, B D C / White, D J / Whitehead, M / Wiederhold, A R / Wiedner, D / Wilkinson, G / Wilkinson, M K / Williams, I / Williams, M / Williams, M R J / Williams, R / Wilson, F F / Wislicki, W / Witek, M / Witola, L / Wong, C P / Wormser, G / Wotton, S A / Wu, H / Wu, J / Wyllie, K / Xiang, Z / Xie, Y / Xu, A / Xu, J / Xu, L / Xu, M / Xu, Q / Xu, Z / Yang, D / Yang, S / Yang, X / Yang, Y / Yang, Z / Yeomans, L E / Yeroshenko, V / Yeung, H / Yin, H / Yu, J / Yuan, X / Zaffaroni, E / Zavertyaev, M / Zdybal, M / Zeng, M / Zhang, C / Zhang, D / Zhang, L / Zhang, S / Zhang, Y / Zhao, Y / Zharkova, A / Zhelezov, A / Zheng, Y / Zhou, T / Zhou, X / Zhou, Y / Zhovkovska, V / Zhu, X / Zhu, Z / Zhukov, V / Zou, Q / Zucchelli, S / Zuliani, D / Zunica, G

    Physical review letters

    2023  Volume 131, Issue 11, Page(s) 111802

    Abstract: The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^ ... ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are ... is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0 ...

    Abstract The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^{-}ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are measured, assuming isospin symmetry, using a sample of proton-proton collision data corresponding to 3.0  fb^{-1} of integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The tau lepton is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0.281±0.018±0.024 and R(D^{0})=0.441±0.060±0.066, where the first uncertainty is statistical and the second is systematic. The correlation between these measurements is ρ=-0.43. The results are consistent with the current average of these quantities and are at a combined 1.9 standard deviations from the predictions based on lepton flavor universality in the standard model.
    Language English
    Publishing date 2023-09-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.131.111802
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  6. Article ; Online: R

    Ngwoke, Kenneth G / El-Kashef, Dina H / Daletos, Georgios / Ancheeva, Elena / Liu, Zhen / Okoye, Festus B C / Esimone, Charles O / Proksch, Peter

    Natural product research

    2020  Volume 35, Issue 21, Page(s) 3578–3583

    Abstract: A new tetronic acid derivative ( ...

    Abstract A new tetronic acid derivative (
    MeSH term(s) Fungi ; Furans ; Molecular Structure ; Penicillium ; Soil
    Chemical Substances Furans ; Soil ; tetronic acid (N2B9NB89C0)
    Language English
    Publishing date 2020-01-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2185747-7
    ISSN 1478-6427 ; 1478-6419
    ISSN (online) 1478-6427
    ISSN 1478-6419
    DOI 10.1080/14786419.2020.1715400
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  7. Article ; Online: A CAR-T response prediction model for r/r B-NHL patients based on a T cell subset nomogram.

    Zhang, Xiaomei / Sun, Rui / Zhang, Meng / Zhao, Yifan / Cao, Xinping / Guo, Ruiting / Zhang, Yi / Liu, Xingzhong / Lyu, Cuicui / Zhao, Mingfeng

    Cancer immunology, immunotherapy : CII

    2024  Volume 73, Issue 2, Page(s) 33

    Abstract: Background: Chimeric antigen receptor (CAR) T cells for refractory or relapsed (r/r) B cell no ... influencing factors of the efficacy of CD19 CAR-T cell infusion in the treatment of r/r B-NHL and to establish ... an early prediction model.: Methods: A total of 43 r/r B-NHL patients were enrolled ...

    Abstract Background: Chimeric antigen receptor (CAR) T cells for refractory or relapsed (r/r) B cell no-Hodgkin lymphoma (NHL) patients have shown promising clinical effectiveness. However, the factors impacting the clinical response of CAR-T therapy have not been fully elucidated. We here investigate the independent influencing factors of the efficacy of CD19 CAR-T cell infusion in the treatment of r/r B-NHL and to establish an early prediction model.
    Methods: A total of 43 r/r B-NHL patients were enrolled in this retrospective study. The patients' general data were recorded, and the primary endpoint is the patients' treatment response. The independent factors of complete remission (CR) and partial remission (PR) were investigated by univariate and binary logistic regression analysis, and the prediction model of the probability of CR was constructed according to the determined independent factors. Receiver operating characteristic (ROC) and calibration plot were used to assess the discrimination and calibration of the established model. Furthermore, we collected 15 participators to validate the model.
    Results: Univariate analysis and binary logistic regression analysis of 43 patients showed that the ratio of central memory T cell (Tcm) and naïve T cell (Tn) in cytotoxic T cells (Tc) was an independent risk factor for response to CD19 CAR-T cell therapy in r/r B-NHL. On this basis, the area under the curve (AUC) of Tcm in the Tc and Tn in the Tc nomogram model was 0.914 (95%CI 0.832-0.996), the sensitivity was 83%, and the specificity was 74.2%, which had excellent predictive value. We did not found the difference of the progression-free survival (PFS).
    Conclusions: The ratio of Tcm and Tn in Tc was found to be able to predict the treatment response of CD19 CAR-T cells in r/r B-NHL. We have established a nomogram model for the assessment of the CD19 CAR-T therapy response presented high specificity and sensitivity.
    MeSH term(s) Humans ; Receptors, Chimeric Antigen ; Nomograms ; Retrospective Studies ; Immunotherapy, Adoptive ; T-Lymphocyte Subsets ; Antigens, CD19
    Chemical Substances Receptors, Chimeric Antigen ; Antigens, CD19
    Language English
    Publishing date 2024-01-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 195342-4
    ISSN 1432-0851 ; 0340-7004
    ISSN (online) 1432-0851
    ISSN 0340-7004
    DOI 10.1007/s00262-023-03618-w
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  8. Article ; Online: scAnnoX: an R package integrating multiple public tools for single-cell annotation.

    Huang, Xiaoqian / Liu, Ruiqi / Yang, Shiwei / Chen, Xiaozhou / Li, Huamei

    PeerJ

    2024  Volume 12, Page(s) e17184

    Abstract: ... scCATCH, and SCINA. Building upon these algorithms, we developed an R package named scAnnoX ...

    Abstract Background: Single-cell annotation plays a crucial role in the analysis of single-cell genomics data. Despite the existence of numerous single-cell annotation algorithms, a comprehensive tool for integrating and comparing these algorithms is also lacking.
    Methods: This study meticulously investigated a plethora of widely adopted single-cell annotation algorithms. Ten single-cell annotation algorithms were selected based on the classification of either reference dataset-dependent or marker gene-dependent approaches. These algorithms included SingleR, Seurat, sciBet, scmap, CHETAH, scSorter, sc.type, cellID, scCATCH, and SCINA. Building upon these algorithms, we developed an R package named scAnnoX for the integration and comparative analysis of single-cell annotation algorithms.
    Results: The development of the scAnnoX software package provides a cohesive framework for annotating cells in scRNA-seq data, enabling researchers to more efficiently perform comparative analyses among the cell type annotations contained in scRNA-seq datasets. The integrated environment of scAnnoX streamlines the testing, evaluation, and comparison processes among various algorithms. Among the ten annotation tools evaluated, SingleR, Seurat, sciBet, and scSorter emerged as top-performing algorithms in terms of prediction accuracy, with SingleR and sciBet demonstrating particularly superior performance, offering guidance for users. Interested parties can access the scAnnoX package at https://github.com/XQ-hub/scAnnoX.
    MeSH term(s) Software ; Single-Cell Analysis ; Algorithms ; Genomics ; Existentialism
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.17184
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  9. Article ; Online: Daratumumab and venetoclax combined with CAGE for late R/R T-ALL/LBL patients: Single-arm, open-label, phase I study.

    Shi, Hui / Yang, Fan / Cao, Miaomiao / Xu, Teng / Zheng, Peihao / Guo, Yuelu / Su, Guoai / Feng, Shaomei / Li, Ruiting / Liu, Rui / Liu, Haidi / Ma, Lixia / Ke, Xiaoyan / Hu, Kai

    Annals of hematology

    2024  

    Abstract: The prognosis of patients diagnosed with relapsed or refractory (R/R) T-lymphoblastic leukemia ... the CAG regimen can serve as a salvage treatment for R/R T-ALL/LBL, but there remains a subset of patients ... cytarabine, granulocyte colony-stimulating factor, and etoposide (CAGE), in patients suffering from R/R T ...

    Abstract The prognosis of patients diagnosed with relapsed or refractory (R/R) T-lymphoblastic leukemia/lymphoma (T-ALL/LBL) has consistently been unsatisfactory, with limited treatment options. As reports, the CAG regimen can serve as a salvage treatment for R/R T-ALL/LBL, but there remains a subset of patients who do not benefit from it. Recent studies have indicated that daratumumab (Dara) and venetoclax (Ven) may offer promising therapeutic benefits for T-ALL/LBL. In light of these findings, we conducted a safety and efficacy evaluation of the enhanced treatment regimen, combining Dara and Ven with aclarubicin, cytarabine, granulocyte colony-stimulating factor, and etoposide (CAGE), in patients suffering from R/R T-ALL/LBL. The participants in this phase I trial were patients with R/R T-ALL/LBL who fail to standard treatment regimens. During each 28-day cycle, the patients were treated by Dara, Ven, cytarabine, aclarubicin, granulocyte colony-stimulating factor, etoposide. The primary endpoint of this study was the rate of remission. This report presents the prospective outcomes of 21 patients who received the salvage therapy of Dara and Ven combined with the CAGE regimen (Dara + Ven + CAGE). The objective remission rate (ORR) was determined to be 57.1%, while the complete remission (CR) rate was 47.6%. Notably, patients with the early T-cell precursor (ETP) subtype exhibited a significantly higher remission rate in the bone marrow compared to non-ETP patients (100% vs. 44.4%, p = 0.044). The Dara + Ven + CAGE regimen demonstrated a favorable remission rate in patients with R/R T-ALL/LBL. Moreover, the treatment was well-tolerated.
    Language English
    Publishing date 2024-04-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1064950-5
    ISSN 1432-0584 ; 0939-5555 ; 0945-8077
    ISSN (online) 1432-0584
    ISSN 0939-5555 ; 0945-8077
    DOI 10.1007/s00277-024-05775-z
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  10. Article ; Online: Single-cell RNA seq identifies Plg-R

    Yang, Yuanru / Li, Weiyang / Liu, Chang / Liu, Jing / Yang, Lin / Yue, Wenhui / Yang, Le / Xue, Renmin / Zhang, Kai / Zhang, Hang / Chang, Na / Li, Liying

    Biochimica et biophysica acta. Molecular basis of disease

    2023  Volume 1869, Issue 6, Page(s) 166754

    Abstract: Hepatic macrophages play a central role in liver fibrosis. Scar-associated macrophages (SAMs), a recently identified subgroup of macrophages, play an important role in this process. However, the mechanism by which SAMs transform during liver fibrosis is ... ...

    Abstract Hepatic macrophages play a central role in liver fibrosis. Scar-associated macrophages (SAMs), a recently identified subgroup of macrophages, play an important role in this process. However, the mechanism by which SAMs transform during liver fibrosis is still unclear. In this study, we aimed to characterize SAMs and elucidate the underlying mechanism of SAM transformation. Bile duct ligation (BDL) and carbon tetrachloride (CCl
    MeSH term(s) Mice ; Animals ; Plasminogen/genetics ; Cicatrix/pathology ; Single-Cell Gene Expression Analysis ; Receptors, Cell Surface/genetics ; Macrophages/pathology ; Liver Cirrhosis/genetics ; Liver Cirrhosis/pathology ; Fibrosis
    Chemical Substances Plasminogen (9001-91-6) ; Receptors, Cell Surface ; PLG-R(KT) protein, mouse
    Language English
    Publishing date 2023-05-18
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 60-7
    ISSN 1879-260X ; 1879-2596 ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650 ; 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    ISSN (online) 1879-260X ; 1879-2596 ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650
    ISSN 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    DOI 10.1016/j.bbadis.2023.166754
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