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Associated atmospheric mechanisms for the increased cold season precipitation over the Three-River Headwaters region from the late 1980s (2021)
Shang, Shasha ; Zhu, Gaofeng ; Wei, Jianhui ; Li, Yan ; Zhang, Kun ; Li, Ruolin ; Arnault, Joël ; Zhang, Zhenyu ; Laux, Patrick ; Yang, Qianya ; Dong, Ningpeng ; Gao, Lu ; Kunstmann, Harald
The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records (2022)
Harrison, Sandy P. ; Villegas-Diaz, Roberto ; Cruz-Silva, Esmeralda ; Gallagher, Daniel ; Kesner, David ; Lincoln, Paul ; Shen, Yicheng ; Sweeney, Luke ; Colombaroli, Daniele ; Ali, Adam ; Barhoumi, Chéïma ; Bergeron, Yves ; Blyakharchuk, Tatiana ; Bobek, Přemysl ; Bradshaw, Richard ; Clear, Jennifer L. ; Czerwiński, Sambor ; Daniau, Anne-Laure ; Dodson, John ; Edwards, Kevin J. ; Edwards, Mary E. ; Feurdean, Angelica ; Foster, David ; Gajewski, Konrad ; Gałka, Mariusz ; Garneau, Michelle ; Giesecke, Thomas ; Gil Romera, Graciela ; Girardin, Martin P. ; Hoefer, Dana ; Huang, Kangyou ; Inoue, Jun ; Jamrichová, Eva ; Jasiunas, Nauris ; Jiang, Wenying ; Jiménez-Moreno, Gonzalo ; Karpińska-Kołaczek, Monika ; Kołaczek, Piotr ; Kuosmanen, Niina ; Lamentowicz, Mariusz ; Lavoie, Martin ; Li, Fang ; Li, Jianyong ; Lisitsyna, Olga ; López-Sáez, José Antonio ; Luelmo-Lautenschlaeger, Reyes ; Magnan, Gabriel ; Magyari, Eniko Katalin ; Maksims, Alekss ; Marcisz, Katarzyna ; Marinova, Elena ; Marlon, Jenn ; Mensing, Scott ; Miroslaw-Grabowska, Joanna ; Oswald, Wyatt ; Pérez-Díaz, Sebastián ; Pérez-Obiol, Ramón ; Piilo, Sanna ; Poska, Anneli ; Qin, Xiaoguang ; Remy, Cécile C. ; Richard, Pierre J. H. ; Salonen, Sakari ; Sasaki, Naoko ; Schneider, Hieke ; Shotyk, William ; Stancikaite, Migle ; Šteinberga, Dace ; Stivrins, Normunds ; Takahara, Hikaru ; Tan, Zhihai ; Trasune, Liva ; Umbanhowar, Charles E. ; Väliranta, Minna ; Vassiljev, Jüri ; Xiao, Xiayun ; Xu, Qinghai ; Xu, Xin ; Zawisza, Edyta ; Zhao, Yan ; Zhou, Zheng ; Paillard, Jordan
Frequency dependent polarisation switching in h-ErMnO3 (2018)
Ruff, Alexander ; Li, Ziyu ; Loidl, Alois ; Schaab, Jakob ; Fiebig, Manfred ; Cano, Andres ; Yan, Zewu ; Bourret, Edith ; Glaum, Julia ; Meier, Dennis ; Krohns, Stephan
Ordinal learning for emotion recognition in customer service calls (2020)
Han, Wenjing ; Jiang, Tao ; Li, Yan ; Schuller, Björn ; Ruan, Huabin
Towards system-wide implementation of the international classification of functioning, disability and health (ICF) in routine practice: developing simple, intuitive descriptions of ICF categories in the ICF generic and rehabilitation set (2016)
Prodinger, Birgit ; Reinhardt, J. ; Selb, M. ; Stucki, G. ; Yan, T. ; Zhang, X. ; Li, J.
Prediction of left lobe hypertrophy after right lobe radioembolization of the liver using a clinical data model with external validation (2022)
Theysohn, Jens M. ; Demircioglu, Aydin ; Kleditzsch, Malte ; Ludwig, Johannes M. ; Weber, Manuel ; Umutlu, Lale ; Li, Yan ; Kircher, Malte ; Lapa, Constantin ; Buck, Andreas ; Koehler, Michael ; Wildgruber, Moritz ; Lange, Christian M. ; Palard, Xavier ; Garin, Etienne ; Herrmann, Ken ; Forsting, Michael ; Nensa, Felix
AgRP neurons control feeding behaviour at cortical synapses via peripherally derived lysophospholipids (2022)
Endle, Heiko ; Horta, Guilherme ; Stutz, Bernardo ; Muthuraman, Muthuraman ; Tegeder, Irmgard ; Schreiber, Yannick ; Snodgrass, Isabel Faria ; Gurke, Robert ; Liu, Zhong-Wu ; Sestan-Pesa, Matija ; Radyushkin, Konstantin ; Streu, Nora ; Fan, Wei ; Baumgart, Jan ; Li, Yan ; Kloss, Florian ; Groppa, Sergiu ; Opel, Nils ; Dannlowski, Udo ; Grabe, Hans J. ; Zipp, Frauke ; Rácz, Bence ; Horvath, Tamas L. ; Nitsch, Robert ; Vogt, Johannes
Engineering a Cu‐Pd paddle‐wheel metal–organic framework for selective CO2 electroreduction (2024)
Zhang, Ruirui ; Liu, Yan ; Ding, Pan ; Huang, Juanjuan ; Dierolf, Martin ; Kelly, Shelly D. ; Qiu, Xinqi ; Chen, Yishuo ; Hussain, Mian Zahid ; Li, Weijin ; Bunzen, Hana ; Achterhold, Klaus ; Pfeiffer, Franz ; Sharp, Ian D. ; Warnan, Julien ; Fischer, Roland A.
Optimizing the binding energy between the intermediate and the active site is a key factor for tuning catalytic product selectivity and activity in the electrochemical carbon dioxide reduction reaction. Copper active sites are known to reduce CO2 to hydrocarbons and oxygenates, but suffer from poor product selectivity due to the moderate binding energies of several of the reaction intermediates. Here, we report an ion exchange strategy to construct Cu−Pd paddle wheel dimers within Cu-based metal–organic frameworks (MOFs), [Cu3-xPdx(BTC)2] (BTC=benzentricarboxylate), without altering the overall MOF structural properties. Compared to the pristine Cu MOF ([Cu3(BTC)2], HKUST-1), the Cu−Pd MOF shifts CO2 electroreduction products from diverse chemical species to selective CO generation. In situ X-ray absorption fine structure analysis of the catalyst oxidation state and local geometry, combined with theoretical calculations, reveal that the incorporation of Pd within the Cu−Pd paddle wheel node structure of the MOF promotes adsorption of the key intermediate COOH* at the Cu site. This permits CO-selective catalytic mechanisms and thus advances our understanding of the interplay between structure and activity toward electrochemical CO2 reduction using molecular catalysts.
Impact of vaccination status on outcome of patients with COVID‐19 and acute ischemic stroke undergoing mechanical thrombectomy (2024)
Deuschl, Cornelius ; Goertz, Lukas ; Kabbasch, Christoph ; Köhrmann, Martin ; Kleinschnitz, Christoph ; Berlis, Ansgar ; Maurer, Christoph Johannes ; Mühlen, Iris ; Kallmünzer, Bernd ; Gawlitza, Matthias ; Kaiser, Daniel P. O. ; Klisch, Joachim ; Lobsien, Donald ; Behme, Daniel ; Thormann, Maximilian ; Flottmann, Fabian ; Winkelmeier, Laurens ; Gizewski, Elke Ruth ; Mayer‐Suess, Lukas ; Holtmannspoetter, Markus ; Moenninghoff, Christoph ; Schlunz‐Hendann, Martin ; Grieb, Dominik ; Arendt, Christophe T. ; Bohmann, Ferdinand O. ; Altenbernd, Jens ; Li, Yan ; Sure, Ulrich ; Mühl‐Benninghaus, Ruben ; Rodt, Thomas ; Kallenberg, Kai ; Durutya, Alexandru ; Elsharkawy, Mohamed ; Stracke, Christian‐Paul ; Schumann, Mathias Gerhard ; Bock, Alexander ; Nikoubashman, Omid ; Wiesmann, Martin ; Henkes, Hans ; Dolff, Sebastian ; Demircioglu, Aydin ; Forsting, Michael ; Styczen, Hanna
Background Data on impact of COVID‐19 vaccination and outcomes of patients with COVID‐19 and acute ischemic stroke undergoing mechanical thrombectomy are scarce. Addressing this subject, we report our multicenter experience. Methods and Results This was a retrospective analysis of patients with COVID‐19 and known vaccination status treated with mechanical thrombectomy for acute ischemic stroke at 20 tertiary care centers between January 2020 and January 2023. Baseline demographics, angiographic outcome, and clinical outcome evaluated by the modified Rankin Scale score at discharge were noted. A multivariate analysis was conducted to test whether these variables were associated with an unfavorable outcome, defined as modified Rankin Scale score >3. A total of 137 patients with acute ischemic stroke (48 vaccinated and 89 unvaccinated) with acute or subsided COVID‐19 infection who underwent mechanical thrombectomy attributable to vessel occlusion were included in the study. Angiographic outcomes between vaccinated and unvaccinated patients were similar (modified Thrombolysis in Cerebral Infarction ≥2b: 85.4% in vaccinated patients versus 86.5% in unvaccinated patients; P=0.859). The rate of functional independence (modified Rankin Scale score, ≤2) was 23.3% in the vaccinated group and 20.9% in the unvaccinated group (P=0.763). The mortality rate was 30% in both groups. In the multivariable analysis, vaccination status was not a significant predictor for an unfavorable outcome (P=0.957). However, acute COVID‐19 infection remained significant (odds ratio, 1.197 [95% CI, 1.007–1.417]; P=0.041). Conclusions Our study demonstrated no impact of COVID‐19 vaccination on angiographic or clinical outcome of COVID‐19–positive patients with acute ischemic stroke undergoing mechanical thrombectomy, whereas worsening attributable to COVID‐19 was confirmed.
A residual multi-scale convolutional neural network with transformers for speech emotion recognition (2025)
Yan, Tianhao ; Meng, Hao ; Parada-Cabaleiro, Emilia ; Tao, Jianhua ; Li, Taihao ; Schuller, Björn W.
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