Extraction de citations contenues dans des documents brevet

International audienceLe présent article s'inscrit dans une démarche générale d'élaboration d'outils et de méthodes d'analyse permettant de caractériser les activités scientifiques et techniques. Le nombre de publications scientifiques numériques est de plus en plus important. Nous nous intéressons plus particulièrement ici au repérage et à l'extraction automatique de citations et de références contenues dans des documents, en anglais, de type brevet d'inventions. La méthode utilisée repose sur une approche symbolique qui fait appel à la création et l'utilisation combinée de dictionnaires électroniques et de grammaires locales. L'outil de traitement de corpus Unitex est utilisé pour l'élaboration et l'application de ces ressources linguistiques à un corpus d'étude

In Vivo Anti-Diabetic Activity of the Ethanolic Crude Extract of Sorbus decora C.K.Schneid. (Rosacea): A Medicinal Plant Used by Canadian James Bay Cree Nations to Treat Symptoms Related to Diabetes

A number of potential anti-diabetic plants were identified through an ethnobotanical survey of the traditional pharmacopeia of the Cree of Eeyou Istchee (CEI—Northeastern Canada) used against symptoms of diabetes and their biological activity assessed by in vitro bioassays. Among these, Sorbus decora C.K.Schneid. (Rosacea) ranked highly and increased the transport of glucose in skeletal muscle cells in culture. The present study thus aimed at confirming the antidiabetic potential of S. decora in in vivo models of insulin resistance and diabetes, notably the streptozotocin Type 1 diabetic rat (STZ), the genetic KK-Ay Type 2 diabetic mouse and the rat rendered insulin resistant with 10% glucose water consumption for 6 weeks. Sorbus decora ethanolic crude extract (SDEE) was administered orally (200 mg kg−1) and compared to metformin (150 or 500 mg kg−1). The intragastric (i.g.) gavage of SDEE transiently decreased glycemia in STZ rats in a bi-phasic manner but the effect was cumulative over several days. In KK-Ay mice, SDEE incorporated in food (0.12%) decreased glycemia by 15% within 1 week as compared to vehicle controls. In pre-diabetic insulin-resistant rats, SDEE fed daily by i.g. gavage for 2 weeks significantly decreased the slight hyperglycemia and hyperinsulinemia, without affecting sugar water intake. Using the HOMA insulin resistance parameter, the effect of SDEE was equivalent to that of metformin. In conclusion, the ethanolic crude extract of S. decora demonstrates both anti-hyperglycemic and insulin-sensitizing activity in vivo, thereby confirming anti-diabetic potential and validating CEI traditional medicine

Phase Aberration Correction for in vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network

Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers ({\mu}m). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein, we propose a deep learning approach based on recently introduced complex-valued convolutional neural networks (CV-CNNs) to retrieve the aberration function, which can then be used to form enhanced images using standard delay-and-sum beamforming. Complex-valued convolutional networks were selected as they can apply time delays through multiplication with in-phase quadrature input data. Predicting the aberration function rather than corrected images also confers enhanced explainability to the network. In addition, 3D spatiotemporal convolutions were used for the network to leverage entire microbubble tracks. For training and validation, we used an anatomically and hemodynamically realistic mouse brain microvascular network model to simulate the flow of microbubbles in presence of aberration. We then confirmed the capability of our network to generalize to transcranial in vivo data in the mouse brain (n=2). Qualitatively, vascular reconstructions using a pixel-wise predicted aberration function included additional and sharper vessels. The spatial resolution was evaluated by using the Fourier ring correlation (FRC). After correction, we measured a resolution of 16.7 {\mu}m in vivo, representing an improvement of up to 27.5 %. This work leads to different applications for complex-valued convolutions in biomedical imaging and strategies to perform transcranial ULM

Polymerization study and rheological behavior of a RTM6 epoxy resin system during preprocessing step

Curing process and rheological behaviors of a monocomposant epoxy resin used in structural aeronautic applications are investigated. This study helped settle the basic parameters in order to optimize the infusion process of carbon fibers in an epoxy matrix. The effect of carbon nanotube dispersion during the preinjection step is also studied to improve electrical behavior of composite parts. The curing process has been analyzed at isothermal temperature using differential scanning calorimetry technique. Viscosity measurements were achieved with a Couette geometry, suitable for low viscosity resin. A shear-thinning effect caused by adding CNTs in the epoxy matrix is detected. It is more pronounced at high temperature for increasing CNT mass content

Comparison Between 18F-FDG PET Image-Derived Indices for Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer.

International audienceThe goal of this study was to determine the best predictive factor among image-derived parameters extracted from sequential F-FDG PET scans for early tumor response prediction after 2 cycles of neoadjuvant chemotherapy in breast cancer. METHODS: 51 breast cancer patients were included. Responder and nonresponder status was determined by histopathologic examination according to the tumor and node Sataloff scale. PET indices (maximum and mean standardized uptake value [SUV], metabolically active tumor volume, and total lesion glycolysis [TLG]), at baseline and their variation (Δ) after 2 cycles of neoadjuvant chemotherapy were extracted from the PET images. Their predictive value was investigated using Mann-Whitney U tests and receiver-operating-characteristic analysis. Subgroup analysis was also performed by considering estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative, triple-negative, and HER2-positive tumors separately. The impact of partial-volume correction was also investigated using an iterative deconvolution algorithm. RESULTS: There were 24 pathologic nonresponders and 27 responders. None of the baseline PET parameters was correlated with response. After 2 neoadjuvant chemotherapy cycles, the reduction of each parameter was significantly associated with response, the best prediction of response being obtained with ΔTLG (96% sensitivity, 92% specificity, and 94% accuracy), which had a significantly higher area under the curve (0.91 vs. 0.82, P = 0.01) than did ΔSUV (63% sensitivity, 92% specificity, and 77% accuracy). Subgroup analysis confirmed a significantly higher accuracy for ΔTLG than ΔSUV for ER-positive/HER-negative but not for triple-negative and HER2-positive tumors. Partial-volume correction had no impact on the predictive value of any of the PET image-derived parameters despite significant changes in their absolute values. CONCLUSION: Our results suggest that the reduction after 2 neoadjuvant chemotherapy cycles of the metabolically active volume of primary tumor measurements such as ΔTLG predicts histopathologic tumor response with higher accuracy than does ΔSUV measurements, especially for ER-positive/HER2-negative breast cancer. These results should be confirmed in a larger group of patients as they may potentially increase the clinical value and efficiency of F-FDG PET for early prediction of response to neoadjuvant chemotherapy

A Robust Titanium Isophthalate Metal-Organic Framework for Visible-Light Photocatalytic CO2 Methanation

[EN] Isophthalic acid (IPA) has been considered to build metal-organic frameworks (MOFs), owing to its facile availability, unique connection angle-mode, and a wide range of functional groups attached. Constructing titanium-IPA frameworks that possess photoresponse properties is an alluring characteristic with respect to the challenge of synthesizing new titanium-based MOFs (Ti-MOFs) Here, we report the first Ti-IPA MOF (MIP-208) that efficiently combines the use of preformed Ti-8 oxoclusters and in situ acetylation of the 5-NH2-IPA linker. The mixed solid-solution linkers strategy was successfully applied, resulting in a series of multivariate MIP-208 structures with tunable chemical environments and sizable porosity. MIP-208 shows the best result among the pure MOF catalysts for the photocatalytic methanation of carbon dioxide. To improve the photocatalytic performance, ruthenium oxide nanoparticles were photo-deposited on MIP-208, forming a highly active and selective composite catalyst, MIP-208@RuOx, which features a notable visible-light response coupled with excellent stability and recycling ability.S.W. acknowledges the support from the National Natural Science Foundation of China (22071234) and the Fundamental Research Funds for the Central Universities (WK2480000007). S.N. thanks the Ministerio de Ciencia, Innovacion y Universidades (RTI2018-099482-A-I00 project, the Fundacion Ramon Areces (XVIII Concurso Nacional para la Adjudicacion de Ayudas a la Investigacion en Ciencias de la Vida y de la Materia, 2016), and Generalitat Valenciana grupos de investigacion consolidables (AICO/2019/214 project) and Agencia Valenciana de la Innovacion (INNEST/2020/111 project) for financial support. C.-C.C. acknowledges the support from the Program of China Scholarship Council (201700260093) and PHC Cai YuanPei Project (38893VJ). C.M.-C. is grateful for financial support from the Institut Universitaire de France (IUF) and the Paris Ile-de-France Region -DIM "Respore.'' H.G. thanks the Spanish Ministry of Science and Innovation (Severo Ochoa and RTI2018-098237-CO2-1) and Generalitat Valenciana (Prometeo2017/083) for financial support. The authors thank the staff at Synchrotron SOLEIL and the associated scientists for beamtime and assistance during SCXRD data collections on PROXIMA 2A, as well as Dr. Peng Guo and Dr. Nana Yan from Dalian Institute of Chemical Physics (Chinese Academy of Sciences) for the collection of high-resolution PXRD data for Rietveld refinement.Wang, S.; Cabrero-Antonino, M.; Navalón Oltra, S.; Cao, C.; Tissot, A.; Dovgaliuk, I.; Marrot, J.... (2020). A Robust Titanium Isophthalate Metal-Organic Framework for Visible-Light Photocatalytic CO2 Methanation. Chem. 6(12):3409-3427. https://doi.org/10.1016/j.chempr.2020.10.017S34093427612Dhakshinamoorthy, A., Li, Z., & Garcia, H. (2018). Catalysis and photocatalysis by metal organic frameworks. Chemical Society Reviews, 47(22), 8134-8172. doi:10.1039/c8cs00256hChen, L., & Xu, Q. (2019). Metal-Organic Framework Composites for Catalysis. Matter, 1(1), 57-89. doi:10.1016/j.matt.2019.05.018Yeung, H. H.-M., Li, W., Saines, P. J., Köster, T. K. J., Grey, C. P., & Cheetham, A. K. (2013). Ligand-Directed Control over Crystal Structures of Inorganic-Organic Frameworks and Formation of Solid Solutions. Angewandte Chemie International Edition, 52(21), 5544-5547. doi:10.1002/anie.201300440Lu, W., Wei, Z., Gu, Z.-Y., Liu, T.-F., Park, J., Park, J., … Zhou, H.-C. (2014). Tuning the structure and function of metal–organic frameworks via linker design. Chem. Soc. Rev., 43(16), 5561-5593. doi:10.1039/c4cs00003jDesai, A. V., Sharma, S., Let, S., & Ghosh, S. K. (2019). N-donor linker based metal-organic frameworks (MOFs): Advancement and prospects as functional materials. Coordination Chemistry Reviews, 395, 146-192. doi:10.1016/j.ccr.2019.05.020Zhang, H., Zou, R., & Zhao, Y. (2015). Macrocycle-based metal-organic frameworks. Coordination Chemistry Reviews, 292, 74-90. doi:10.1016/j.ccr.2015.02.012He, Y., Li, B., O’Keeffe, M., & Chen, B. (2014). Multifunctional metal–organic frameworks constructed from meta-benzenedicarboxylate units. Chem. Soc. Rev., 43(16), 5618-5656. doi:10.1039/c4cs00041bWang, H., Zhu, Q.-L., Zou, R., & Xu, Q. (2017). Metal-Organic Frameworks for Energy Applications. Chem, 2(1), 52-80. doi:10.1016/j.chempr.2016.12.002Kuppler, R. J., Timmons, D. J., Fang, Q.-R., Li, J.-R., Makal, T. A., Young, M. D., … Zhou, H.-C. (2009). Potential applications of metal-organic frameworks. Coordination Chemistry Reviews, 253(23-24), 3042-3066. doi:10.1016/j.ccr.2009.05.019Czaja, A. U., Trukhan, N., & Müller, U. (2009). Industrial applications of metal–organic frameworks. Chemical Society Reviews, 38(5), 1284. doi:10.1039/b804680hSilva, P., Vilela, S. M. F., Tomé, J. P. C., & Almeida Paz, F. A. (2015). Multifunctional metal–organic frameworks: from academia to industrial applications. Chemical Society Reviews, 44(19), 6774-6803. doi:10.1039/c5cs00307eRen, J., Dyosiba, X., Musyoka, N. M., Langmi, H. W., Mathe, M., & Liao, S. (2017). Review on the current practices and efforts towards pilot-scale production of metal-organic frameworks (MOFs). Coordination Chemistry Reviews, 352, 187-219. doi:10.1016/j.ccr.2017.09.005Ohtani, M., Takase, K., Wang, P., Higashi, K., Ueno, K., Yasuda, N., … Kobiro, K. (2016). Water-triggered macroscopic structural transformation of a metal–organic framework. CrystEngComm, 18(11), 1866-1870. doi:10.1039/c6ce00031bReinsch, H., De Vos, D., & Stock, N. (2013). Structure and Properties of [Al4(OH)8(o-C6H4(CO2)2)2]·H2O, a Layered Aluminum Phthalate. Zeitschrift für anorganische und allgemeine Chemie, 639(15), 2785-2789. doi:10.1002/zaac.201300357Li, H., Davis, C. E., Groy, T. L., Kelley, D. G., & Yaghi, O. M. (1998). Coordinatively Unsaturated Metal Centers in the Extended Porous Framework of Zn3(BDC)3·6CH3OH (BDC = 1,4-Benzenedicarboxylate). Journal of the American Chemical Society, 120(9), 2186-2187. doi:10.1021/ja974172gBanerjee, D., & Parise, J. B. (2011). Recent Advances in s-Block Metal Carboxylate Networks. Crystal Growth & Design, 11(10), 4704-4720. doi:10.1021/cg2008304Pagis, C., Ferbinteanu, M., Rothenberg, G., & Tanase, S. (2016). Lanthanide-Based Metal Organic Frameworks: Synthetic Strategies and Catalytic Applications. ACS Catalysis, 6(9), 6063-6072. doi:10.1021/acscatal.6b01935Aguirre-Díaz, L. M., Reinares-Fisac, D., Iglesias, M., Gutiérrez-Puebla, E., Gándara, F., Snejko, N., & Monge, M. Á. (2017). Group 13th metal-organic frameworks and their role in heterogeneous catalysis. Coordination Chemistry Reviews, 335, 1-27. doi:10.1016/j.ccr.2016.12.003Kang, M., Luo, D., Deng, Y., Li, R., & Lin, Z. (2014). Solvothermal synthesis and characterization of new calcium carboxylates based on cluster- and rod-like building blocks. Inorganic Chemistry Communications, 47, 52-55. doi:10.1016/j.inoche.2014.07.015Bourne, S. A., Lu, J., Mondal, A., Moulton, B., & Zaworotko, M. J. (2001). Self-Assembly of Nanometer-Scale Secondary Building Units into an Undulating Two-Dimensional Network with Two Types of Hydrophobic Cavity. Angewandte Chemie International Edition, 40(11), 2111-2113. doi:10.1002/1521-3773(20010601)40:113.0.co;2-fVodak, D. T., Braun, M. E., Kim, J., Eddaoudi, M., & Yaghi, O. M. (2001). Chemical Communications, (24), 2534-2535. doi:10.1039/b108684gBarthelet, K., Riou, D., & Férey, G. (2002). [VIII(H2O)]3O(O2CC6H4CO2)3·(Cl, 9H2O) (MIL-59): a rare example of vanadocarboxylate with a magnetically frustrated three-dimensional hybrid framework. Chemical Communications, (14), 1492-1493. doi:10.1039/b202749fQazvini, O. T., Babarao, R., Shi, Z.-L., Zhang, Y.-B., & Telfer, S. G. (2019). A Robust Ethane-Trapping Metal–Organic Framework with a High Capacity for Ethylene Purification. Journal of the American Chemical Society, 141(12), 5014-5020. doi:10.1021/jacs.9b00913Kim, J.-Y., Norquist, A. J., & O’Hare, D. (2003). Incorporation of uranium(vi) into metal–organic framework solids, [UO2(C4H4O4)]·H2O, [UO2F(C5H6O4)]·2H2O, and [(UO2)1.5(C8H4O4)2]2[(CH3)2NCOH2]·H2O. Dalton Trans., (14), 2813-2814. doi:10.1039/b306733pWang, G., Song, T., Fan, Y., Xu, J., Wang, M., Zhang, H., … Wang, L. (2010). [Y2(H2O)(BDC)3(DMF)]·(DMF)3: A rare 2-D (42.6)(45.6)2(48.62)(49.65.8) net with multi-helical-array and opened windows. Inorganic Chemistry Communications, 13(4), 502-505. doi:10.1016/j.inoche.2010.01.021Mihalcea, I., Henry, N., Clavier, N., Dacheux, N., & Loiseau, T. (2011). Occurence of an Octanuclear Motif of Uranyl Isophthalate with Cation–Cation Interactions through Edge-Sharing Connection Mode. Inorganic Chemistry, 50(13), 6243-6249. doi:10.1021/ic2005584Vougo-Zanda, M., Wang, X., & Jacobson, A. J. (2007). Influence of Ligand Geometry on the Formation of In−O Chains in Metal-Oxide Organic Frameworks (MOOFs). Inorganic Chemistry, 46(21), 8819-8824. doi:10.1021/ic701126tBu, F., & Xiao, S.-J. (2010). A 4-connected anionic metal–organic nanotube constructed from indium isophthalate. CrystEngComm, 12(11), 3385. doi:10.1039/c001284jPanda, T., Kundu, T., & Banerjee, R. (2013). Structural isomerism leading to variable proton conductivity in indium(iii) isophthalic acid based frameworks. Chemical Communications, 49(55), 6197. doi:10.1039/c3cc41939hChen, P.-K., Che, Y.-X., Zheng, J.-M., & Batten, S. R. (2007). Heteropolynuclear Metamagnet Showing Spin Canting and Single-Crystal to Single-Crystal Phase Transformation. Chemistry of Materials, 19(9), 2162-2167. doi:10.1021/cm062801sZhang, L., Qin, Y.-Y., Li, Z.-J., Lin, Q.-P., Cheng, J.-K., Zhang, J., & Yao, Y.-G. (2008). Topology Analysis and Nonlinear-Optical-Active Properties of Luminescent Metal−Organic Framework Materials Based on Zinc/Lead Isophthalates. Inorganic Chemistry, 47(18), 8286-8293. doi:10.1021/ic800871rZhang, J.-P., Ghosh, S. K., Lin, J.-B., & Kitagawa, S. (2009). New Heterometallic Carboxylate Frameworks: Synthesis, Structure, Robustness, Flexibility, and Porosity. Inorganic Chemistry, 48(16), 7970-7976. doi:10.1021/ic900919wMcCormick, L. J., Morris, S. A., Slawin, A. M. Z., Teat, S. J., & Morris, R. E. (2016). Coordination Polymers of 5-Alkoxy Isophthalic Acids. Crystal Growth & Design, 16(10), 5771-5780. doi:10.1021/acs.cgd.6b00853Chen, J., Li, C.-P., & Du, M. (2011). Substituent effect of R-isophthalates (R = –H, –CH3, –OCH3, –tBu, –OH, and –NO2) on the construction of CdIIcoordination polymers incorporating a dipyridyl tecton 2,5-bis(3-pyridyl)-1,3,4-oxadiazole. CrystEngComm, 13(6), 1885-1893. doi:10.1039/c0ce00555jDu, M., Zhang, Z.-H., You, Y.-P., & Zhao, X.-J. (2008). R-Isophthalate (R = –H, –NO2, and –COOH) as modular building blocks for mixed-ligand coordination polymers incorporated with a versatile connector 4-amino-3,5-bis(3-pyridyl)-1,2,4-triazole. CrystEngComm, 10(3), 306-321. doi:10.1039/b711447hChen, L., Ye, J.-W., Wang, H.-P., Pan, M., Yin, S.-Y., Wei, Z.-W., … Su, C.-Y. (2017). Ultrafast water sensing and thermal imaging by a metal-organic framework with switchable luminescence. Nature Communications, 8(1). doi:10.1038/ncomms15985Yuan, S., Qin, J.-S., Lollar, C. T., & Zhou, H.-C. (2018). Stable Metal–Organic Frameworks with Group 4 Metals: Current Status and Trends. ACS Central Science, 4(4), 440-450. doi:10.1021/acscentsci.8b00073Rieth, A. J., Wright, A. M., & Dincă, M. (2019). Kinetic stability of metal–organic frameworks for corrosive and coordinating gas capture. Nature Reviews Materials, 4(11), 708-725. doi:10.1038/s41578-019-0140-1Dhakshinamoorthy, A., Asiri, A. M., & García, H. (2016). Metal–Organic Framework (MOF) Compounds: Photocatalysts for Redox Reactions and Solar Fuel Production. Angewandte Chemie International Edition, 55(18), 5414-5445. doi:10.1002/anie.201505581Alvaro, M., Carbonell, E., Ferrer, B., Llabrés i Xamena, F. X., & Garcia, H. (2007). Semiconductor Behavior of a Metal-Organic Framework (MOF). Chemistry - A European Journal, 13(18), 5106-5112. doi:10.1002/chem.200601003Nasalevich, M. A., Goesten, M. G., Savenije, T. J., Kapteijn, F., & Gascon, J. (2013). Enhancing optical absorption of metal–organic frameworks for improved visible light photocatalysis. Chem. Commun., 49(90), 10575-10577. doi:10.1039/c3cc46398bZhu, J., Li, P.-Z., Guo, W., Zhao, Y., & Zou, R. (2018). Titanium-based metal–organic frameworks for photocatalytic applications. Coordination Chemistry Reviews, 359, 80-101. doi:10.1016/j.ccr.2017.12.013Benoit, V., Pillai, R. S., Orsi, A., Normand, P., Jobic, H., Nouar, F., … Llewellyn, P. L. (2016). MIL-91(Ti), a small pore metal–organic framework which fulfils several criteria: an upscaled green synthesis, excellent water stability, high CO2 selectivity and fast CO2 transport. Journal of Materials Chemistry A, 4(4), 1383-1389. doi:10.1039/c5ta09349jSun, Y., Liu, Y., Caro, J., Guo, X., Song, C., & Liu, Y. (2018). In‐Plane Epitaxial Growth of Highly c ‐Oriented NH 2 ‐MIL‐125(Ti) Membranes with Superior H 2 /CO 2 Selectivity. Angewandte Chemie International Edition, 57(49), 16088-16093. doi:10.1002/anie.201810088Wahiduzzaman, M., Wang, S., Schnee, J., Vimont, A., Ortiz, V., Yot, P. G., … Devautour-Vinot, S. (2019). A High Proton Conductive Hydrogen-Sulfate Decorated Titanium Carboxylate Metal−Organic Framework. ACS Sustainable Chemistry & Engineering, 7(6), 5776-5783. doi:10.1021/acssuschemeng.8b05306Pinto, R. V., Wang, S., Tavares, S. R., Pires, J., Antunes, F., Vimont, A., … Pinto, M. L. (2020). Tuning Cellular Biological Functions Through the Controlled Release of NO from a Porous Ti‐MOF. Angewandte Chemie International Edition, 59(13), 5135-5143. doi:10.1002/anie.201913135Assi, H., Mouchaham, G., Steunou, N., Devic, T., & Serre, C. (2017). Titanium coordination compounds: from discrete metal complexes to metal–organic frameworks. Chemical Society Reviews, 46(11), 3431-3452. doi:10.1039/c7cs00001dTachikawa, T., Tojo, S., Fujitsuka, M., Sekino, T., & Majima, T. (2006). Photoinduced Charge Separation in Titania Nanotubes. The Journal of Physical Chemistry B, 110(29), 14055-14059. doi:10.1021/jp063800qWang, S., Kitao, T., Guillou, N., Wahiduzzaman, M., Martineau-Corcos, C., Nouar, F., … Serre, C. (2018). A phase transformable ultrastable titanium-carboxylate framework for photoconduction. Nature Communications, 9(1). doi:10.1038/s41467-018-04034-wSerre, C., Groves, J. A., Lightfoot, P., Slawin, A. M. Z., Wright, P. A., Stock, N., … Férey, G. (2006). Synthesis, Structure and Properties of Related Microporous N,N‘-Piperazinebismethylenephosphonates of Aluminum and Titanium. Chemistry of Materials, 18(6), 1451-1457. doi:10.1021/cm052149lLi, C., Xu, H., Gao, J., Du, W., Shangguan, L., Zhang, X., … Chen, B. (2019). Tunable titanium metal–organic frameworks with infinite 1D Ti–O rods for efficient visible-light-driven photocatalytic H2 evolution. Journal of Materials Chemistry A, 7(19), 11928-11933. doi:10.1039/c9ta01942aKeum, Y., Park, S., Chen, Y.-P., & Park, J. (2018). Titanium-Carboxylate Metal-Organic Framework Based on an Unprecedented Ti-Oxo Chain Cluster. Angewandte Chemie International Edition, 57(45), 14852-14856. doi:10.1002/anie.201809762Yuan, S., Liu, T.-F., Feng, D., Tian, J., Wang, K., Qin, J., … Zhou, H.-C. (2015). A single crystalline porphyrinic titanium metal–organic framework. Chemical Science, 6(7), 3926-3930. doi:10.1039/c5sc00916bPadial, N. M., Castells-Gil, J., Almora-Barrios, N., Romero-Angel, M., da Silva, I., Barawi, M., … Martí-Gastaldo, C. (2019). Hydroxamate Titanium–Organic Frameworks and the Effect of Siderophore-Type Linkers over Their Photocatalytic Activity. Journal of the American Chemical Society, 141(33), 13124-13133. doi:10.1021/jacs.9b04915Wang, S., Reinsch, H., Heymans, N., Wahiduzzaman, M., Martineau-Corcos, C., De Weireld, G., … Serre, C. (2020). Toward a Rational Design of Titanium Metal-Organic Frameworks. Matter, 2(2), 440-450. doi:10.1016/j.matt.2019.11.002Hendon, C. H., Tiana, D., Fontecave, M., Sanchez, C., D’arras, L., Sassoye, C., … Walsh, A. (2013). Engineering the Optical Response of the Titanium-MIL-125 Metal–Organic Framework through Ligand Functionalization. Journal of the American Chemical Society, 135(30), 10942-10945. doi:10.1021/ja405350uFu, Y., Sun, D., Chen, Y., Huang, R., Ding, Z., Fu, X., & Li, Z. (2012). An Amine-Functionalized Titanium Metal-Organic Framework Photocatalyst with Visible-Light-Induced Activity for CO2 Reduction. Angewandte Chemie International Edition, 51(14), 3364-3367. doi:10.1002/anie.201108357Duran, D., Couster, S. L., Desjardins, K., Delmotte, A., Fox, G., Meijers, R., … Shepard, W. (2013). PROXIMA 2A – A New Fully Tunable Micro-focus Beamline for Macromolecular Crystallography. Journal of Physics: Conference Series, 425(1), 012005. doi:10.1088/1742-6596/425/1/012005Reinsch, H., van der Veen, M. A., Gil, B., Marszalek, B., Verbiest, T., de Vos, D., & Stock, N. (2012). Structures, Sorption Characteristics, and Nonlinear Optical Properties of a New Series of Highly Stable Aluminum MOFs. Chemistry of Materials, 25(1), 17-26. doi:10.1021/cm3025445Férey, G., & Serre, C. (2009). Large breathing effects in three-dimensional porous hybrid matter: facts, analyses, rules and consequences. Chemical Society Reviews, 38(5), 1380. doi:10.1039/b804302gFérey, G. (2016). Giant flexibility of crystallized organic–inorganic porous solids: facts, reasons, effects and applications. New Journal of Chemistry, 40(5), 3950-3967. doi:10.1039/c5nj02747kLeshuk, T., Parviz, R., Everett, P., Krishnakumar, H., Varin, R. A., & Gu, F. (2013). Photocatalytic Activity of Hydrogenated TiO2. ACS Applied Materials & Interfaces, 5(6), 1892-1895. doi:10.1021/am302903nChen, X., Liu, L., & Huang, F. (2015). Black titanium dioxide (TiO2) nanomaterials. Chemical Society Reviews, 44(7), 1861-1885. doi:10.1039/c4cs00330fLiu, L., & Chen, X. (2014). Titanium Dioxide Nanomaterials: Self-Structural Modifications. Chemical Reviews, 114(19), 9890-9918. doi:10.1021/cr400624rReinsch, H., Waitschat, S., & Stock, N. (2013). Mixed-linker MOFs with CAU-10 structure: synthesis and gas sorption characteristics. Dalton Transactions, 42(14), 4840. doi:10.1039/c3dt32355bDeng, H., Doonan, C. J., Furukawa, H., Ferreira, R. B., Towne, J., Knobler, C. B., … Yaghi, O. M. (2010). Multiple Functional Groups of Varying Ratios in Metal-Organic Frameworks. Science, 327(5967), 846-850. doi:10.1126/science.1181761Foo, M. L., Matsuda, R., & Kitagawa, S. (2013). Functional Hybrid Porous Coordination Polymers. Chemistry of Materials, 26(1), 310-322. doi:10.1021/cm402136zHelal, A., Yamani, Z. H., Cordova, K. E., & Yaghi, O. M. (2017). Multivariate metal-organic frameworks. National Science Review, 4(3), 296-298. doi:10.1093/nsr/nwx013Ding, M., Flaig, R. W., Jiang, H.-L., & Yaghi, O. M. (2019). Carbon capture and conversion using metal–organic frameworks and MOF-based materials. Chemical Society Reviews, 48(10), 2783-2828. doi:10.1039/c8cs00829aLi, R., Hu, J., Deng, M., Wang, H., Wang, X., Hu, Y., … Xiong, Y. (2014). Integration of an Inorganic Semiconductor with a Metal-Organic Framework: A Platform for Enhanced Gaseous Photocatalytic Reactions. Advanced Materials, 26(28), 4783-4788. doi:10.1002/adma.201400428Cabrero-Antonino, M., Remiro-Buenamañana, S., Souto, M., García-Valdivia, A. A., Choquesillo-Lazarte, D., Navalón, S., … García, H. (2019). Design of cost-efficient and photocatalytically active Zn-based MOFs decorated with Cu2O nanoparticles for CO2methanation. Chemical Communications, 55(73), 10932-10935. doi:10.1039/c9cc04446aUlmer, U., Dingle, T., Duchesne, P. N., Morris, R. H., Tavasoli, A., Wood, T., & Ozin, G. A. (2019). Fundamentals and applications of photocatalytic CO2 methanation. Nature Communications, 10(1). doi:10.1038/s41467-019-10996-2Younas, M., Loong Kong, L., Bashir, M. J. K., Nadeem, H., Shehzad, A., & Sethupathi, S. (2016). Recent Advancements, Fundamental Challenges, and Opportunities in Catalytic Methanation of CO2. Energy & Fuels, 30(11), 8815-8831. doi:10.1021/acs.energyfuels.6b01723Mateo, D., Albero, J., & García, H. (2019). Titanium-Perovskite-Supported RuO2 Nanoparticles for Photocatalytic CO2 Methanation. Joule, 3(8), 1949-1962. doi:10.1016/j.joule.2019.06.001Wenderich, K., & Mul, G. (2016). Methods, Mechanism, and Applications of Photodeposition in Photocatalysis: A Review. Chemical Reviews, 116(23), 14587-14619. doi:10.1021/acs.chemrev.6b00327Giang, T. P. L., Tran, T. N. M., & Le, X. T. (2012). Preparation and characterization of titanium dioxide nanotube array supported hydrated ruthenium oxide catalysts. Advances in Natural Sciences: Nanoscience and Nanotechnology, 3(1), 015008. doi:10.1088/2043-6262/3/1/015008Morgan, D. J. (2015). Resolving ruthenium: XPS studies of common ruthenium materials. Surface and Interface Analysis, 47(11), 1072-1079. doi:10.1002/sia.5852Albero, J., Peng, Y., & García, H. (2020). Photocatalytic CO2 Reduction to C2+ Products. ACS Catalysis, 10(10), 5734-5749. doi:10.1021/acscatal.0c00478Mateo, D., Santiago‐Portillo, A., Albero, J., Navalón, S., Alvaro, M., & García, H. (2019). Long‐Term Photostability in Terephthalate Metal–Organic Frameworks. Angewandte Chemie International Edition, 58(49), 17843-17848. doi:10.1002/anie.201911600Mateo, D., Albero, J., & García, H. (2018). Graphene supported NiO/Ni nanoparticles as efficient photocatalyst for gas phase CO2 reduction with hydrogen. Applied Catalysis B: Environmental, 224, 563-571. doi:10.1016/j.apcatb.2017.10.071Mateo, D., Albero, J., & García, H. (2017). Photoassisted methanation using Cu2O nanoparticles supported on graphene as a photocatalyst. Energy & Environmental Science, 10(11), 2392-2400. doi:10.1039/c7ee02287eMateo, D., Asiri, A. M., Albero, J., & García, H. (2018). The mechanism of photocatalytic CO2 reduction by graphene-support

Mineral magnetic characterization of the Upper Pleniglacial Nussloch loess sequence (Germany): an insight into local environmental processes

Presently, most loess/palaeosol magnetic susceptibility records are interpreted as following either the wind-vigour model or the pedogenic enhancement model. However redoxomorphic processes induced by waterlogging, often referred to gleying in the loess literature, are also known to alter loess deposits but their impact on loess/palaeosol magnetic susceptibility records has received little attention. The reported rock magnetic study aims to characterize the mineral magnetic response of loess to waterlogging-induced redoxomorphic processes, thus improving our understanding of mineral magnetic changes within loess deposits with respect to environmental and climate conditions. The Nussloch loess-palaeosol deposit (Rhine Valley, Germany) was targeted because it is one of the best-studied Pleniglacial deposits for Western Europe in which numerous tundra gley intervals have been identified. Moreover, a comprehensive high-resolution environmental magnetism study has never been undertaken for this site. Various rock magnetism experiments were conducted at both room and low temperatures to characterise the composition, concentration and relative magnetic grain size of the mineral magnetic assemblage. The relative changes in magnetic parameters within the investigated loess interval are primarily controlled by (1) varying concentrations of coarse-grained ferrimagnetic particles of detrital (aeolian) origin and (2) dissolution of fine-grained ferrimagnetic particles related to in situ post-depositional alteration promoted by waterlogging-induced redoxomorphic processes. Goethite is found to be ubiquitous throughout the studied interval and is argued to have both a primary (aeolian) and secondary (in situ) origin. We conclude, that redoxomorphic processes induced by waterlogging, if present, will hinder the interpretation of magnetic susceptibility variations within loess and palaeosol deposits following the expected relationships dictated by the wind-vigour and the pedogenic enhancement magnetism models

FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort.: FDG-PET heterogeneity and volume

International audienceIntra-tumor uptake heterogeneity in 18F-FDG PET has been associated with patient treatment outcomes in several cancer types. Textural features (TF) analysis is a promising method for its quantification. An open issue associated with the use of TF for the quantification of intratumoral heterogeneity concerns its added contribution and dependence on the metabolically active tumor volume (MATV), which has already been shown as a significant predictive and prognostic parameter. Our objective was to address this question using a larger cohort of patients covering different cancer types.METHODS:A single database of 555 pre-treatment 18F-FDG PET images (breast, cervix, esophageal, head & neck and lung cancer tumors) was assembled. Four robust and reproducible TF-derived parameters were considered. The issues associated with the calculation of TF using co-occurrence matrices (such as the quantization and spatial directionality relationships) were also investigated. The relationship between these features and MATV, as well as among the features themselves was investigated using Spearman rank coefficients, for different volume ranges. The complementary prognostic value of MATV and TF was assessed through multivariate Cox analysis in the esophageal and NSCLC cohorts.RESULTS:A large range of MATVs was included in the population considered (3-415 cm3, mean = 35, median = 19, SD=50). The correlation between MATV and TF varied greatly depending on the MATVs, with reduced correlation for increasing volumes. These findings were reproducible across the different cancer types. The quantization and the calculation method both had an impact on the correlation. Volume and heterogeneity were independent prognostic factors (P = 0.0053 and 0.0093 respectively) along with stage (P = 0.002) in NSCLC, but in the esophageal tumors, volume and heterogeneity had less complementary value due to smaller overall volumes.CONCLUSION:Our results suggest that heterogeneity quantification and volume may provide valuable complementary information for volumes above 10cm3, although the complementary information increases substantially with larger volumes

Genome wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability

International audienceGenomic copy number variants (CNVs) are routinely identified and reported back to patients with neuropsychiatric disorders, but their quantitative effects on essential traits such as cognitive ability are poorly documented. We have recently shown that the effect size of deletions on cognitive ability can be statistically predicted using measures of intolerance to haploinsufficiency. However, the effect sizes of duplications remain unknown. It is also unknown if the effect of multigenic CNVs are driven by a few genes intolerant to haploinsufficiency or distributed across tolerant genes as well. Here, we identified all CNVs > 50 kilobases in 24,092 individuals from unselected and autism cohorts with assessments of general intelligence. Statistical models used measures of intolerance to haploinsufficiency of genes included in CNVs to predict their effect size on intelligence. Intolerant genes decrease general intelligence by 0.8 and 2.6 points of intelligence quotient when duplicated or deleted, respectively. Effect sizes showed no heterogeneity across cohorts. Validation analyses demonstrated that models could predict CNV effect sizes with 78% accuracy. Data on the inheritance of 27,766 CNVs showed that deletions and duplications with the same effect size on intelligence occur de novo at the same frequency. We estimated that around 10,000 intolerant and tolerant genes negatively affect intelligence when deleted, and less than 2% have large effect sizes. Genes encompassed in CNVs were not enriched in any GOterms but gene regulation and brain expression were GOterms overrepresented in the intolerant subgroup. Such pervasive effects on cognition may be related to emergent properties of the genome not restricted to a limited number of biological pathways