Serogrouping and Molecular Characterization of ESBL-Producing Avian Pathogenic <i>Escherichia coli</i> from Broilers and Turkeys with Colibacillosis in Algeria by Nadia Safia Chenouf, Chafik Redha Messaï, Isabel Carvalho, Tamara Álvarez-Gómez, Vanessa Silva, Abdelghani Zitouni, Ahcene Hakem, Patricia Poeta, Carmen Torres

“…Concerted efforts from all poultry actors are needed to establish surveillance monitoring strategies to mitigate the spread of ESBL-producing isolates implicated in avian colibacillosis.…”
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A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) by C. Mathison, C. Mathison, E. J. Burke, G. Munday, C. D. Jones, C. D. Jones, C. J. Smith, C. J. Smith, C. J. Smith, C. J. Smith, N. J. Steinert, N. J. Steinert, A. J. Wiltshire, A. J. Wiltshire, C. Huntingford, E. Kovacs, L. K. Gohar, R. M. Varney, D. McNeall, D. McNeall

“…We show results for a range of scenarios: the SSP5–8.5 high-emissions scenario was used to define the patterns, and SSP1–2.6, a mitigation scenario with low emissions, and SSP5–3.4-OS, an overshoot scenario, were used as verification data. …”
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Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining by Yuzhu Li, Nir Pillar, Tairan Liu, Guangdong Ma, Yuxuan Qi, Kevin Haan, Yijie Zhang, Xilin Yang, Adrian J. Correa, Guangqian Xiao, Kuang-Yu Jen, Kenneth A. Iczkowski, Yulun Wu, William Dean Wallace, Aydogan Ozcan

“…Results: Blind evaluations conducted by 3 board-certified pathologists confirmed that the virtual staining networks consistently produce high-quality histology images with high color uniformity, closely resembling their well-stained histochemical counterparts across various tissue features. The use of virtually stained images for the evaluation of transplant biopsies achieved comparable diagnostic outcomes to those obtained via traditional histochemical staining, with a concordance rate of 82.4% for lung samples and 91.7% for heart samples. …”
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Digital health intervention to optimise heart failure management after hospital discharge in Brazil (OPT-HF): a randomised clinical trial protocol by Chris T Longenecker, Luisa C C Brant, Andrea Zawacki Beaton, Zahra Azizi, Antonio L P Ribeiro, Alexander T Sandhu, Ana Luiza Ciminelli, Beatriz Polachini A Gonçalves, Lilian C Rezende, Rafael Z S Lino, Victoria Bramucci, Edmar G Ribeiro, Adson Patrik Vieira Carvalho

“…Global barriers to GDMT optimisation include low frequency of visits, clinician inertia and poor patient knowledge, which may be mitigated by digital health interventions (DHI). In Brazil, low digital literacy and reduced access to technology may compromise these potential DHI’s beneficial effects. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Therefore, if leaf diseases can be automatically identified, appropriate actions can be taken in advance to mitigate these losses. Traditionally, the identification and detection of tree diseases rely on experts' naked-eye observations. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Advanced LiDAR-based object detection methods leverage deep learning techniques to extract object features, predict object locations, and classify objects within an end-to-end neural network framework, achieving remarkable accuracy in many general scenarios. …”
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Sieving pore design enables stable and fast alloying chemistry of silicon negative electrodes in Li-ion batteries by Jiaxing He, Youzhi Deng, Junwei Han, Tianze Xu, Jiangshan Qi, Jinghong Li, Yibo Zhang, Ziyun Zhao, Qi Li, Jing Xiao, Jun Zhang, Debin Kong, Wei Wei, Shichao Wu, Quan-Hong Yang

“…Abstract Ideal silicon negative electrodes for high-energy lithium-ion batteries are expected to feature high capacity, minimal expansion, long lifespan, and fast charging. …”
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Gaylussacin, a stilbene glycoside, inhibits chronic obstructive pulmonary disease in mice by Hye-Young Min, Jeong Yeon Sim, Jee Hwan Ahn, Nae-Won Kang, Hye-Jin Boo, Jina Kim, Na-Young Yu, Marta Bottacin, Jungmoo Huh, Choon-Sik Park, Jong-Sook Park, Suckchang Hong, Sungyong You, Dae-Duk Kim, Ho-Young Lee

“…Pb/Cd exposure led to characteristic COPD-like pathological features, including alveolar damage, mucus hypersecretion, oxidative stress, and apoptosis. …”
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Historical Evolution and Future Prediction of Hydrological Droughts in the Upper Yangtze River Basin by Yun Wang, Wenxin Li, Jianyun Zhang, Cuishan Liu, Yuli Ruan, Chang Yu, Junliang Jin, Guoqing Wang, Ruimin He

“…., the RCCC-WBM model) to analyze the historical evolution and future trends of hydrological features in four hydrological stations (Zhimenda, Zhutuo, Cuntan, and Yichang) in the upper reaches of the Yangtze River and the basins above. …”
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The co-occurrence of tet(X4) and tmexCD2-toprJ2 mediated tigecycline resistance in Raoultella ornithinolytica by Weishuai Zhai, Lu Liu, Jijun Kang, Mengjin Xiao, Yiqing Wang, Yao Wang, Yingbo Shen, Congming Wu, Jianzhong Shen, Yang Wang, Dejun Liu

“…Whole-genome sequencing (WGS) was performed to analyze the genetic features of the plasmids carrying tet(X4) and tmexCD2-toprJ2. …”
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Outcomes and inflammation changes in different types of immunocompromised patients with critically ill COVID-19 admitted to ICU: a national multicenter study by Chunyan Li, Hangyong He, Yuqiong Wang, Linna Huang, Ziying Chen, Qi Zhang, Ying Cai, Tianshu Zhai, Xiaojing Wu, Qingyuan Zhan

“…Conversely, immunosuppression can mitigate the excessive inflammatory response induced by the virus, potentially reducing disease severity. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…These advancements will be essential for supporting science-based decision-making in forest conservation and climate mitigation.…”
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A VLBI Software Correlator for Fast Radio Transients by Calvin Leung, Shion Andrew, Kiyoshi W. Masui, Charanjot Brar, Tomas Cassanelli, Shami Chatterjee, Victoria Kaspi, Kholoud Khairy, Adam E. Lanman, Mattias Lazda, Juan Mena-Parra, Gavin Noble, Aaron B. Pearlman, Mubdi Rahman, Pranav Sanghavi, Vishwangi Shah, (CHIME/FRB Collaboration)

“…This algorithm mitigates sensitivity loss that arises in instruments where the windowing and channelization is done outside the VLBI correlator at each station, which accounts for a 30% sensitivity drop away from the phase center. …”
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Contribution of hypoxia-inducible factor 1alpha to pathogenesis of sarcomeric hypertrophic cardiomyopathy by Sarala Raj Murthi, Andreas Petry, Bachuki Shashikadze, Jan B. Stöckl, Manuel Schmid, Gianluca Santamaria, Karin Klingel, Damir Kračun, Xinpei Chen, Sabine Bauer, Joachim P. Schmitt, Florian Flenkenthaler, Josh Gorham, Christopher N. Toepfer, David Potěšil, Pavel Hruška, Zbyněk Zdráhal, Zsuzsanna Mayer, Mathieu Klop, Luisa Lehmann, Yishi Qin, Laura Papanakli, Nadine Spielmann, Alessandra Moretti, Thomas Fröhlich, Peter Ewert, Stefan Holdenrieder, Jonathan G. Seidman, Christine E. Seidman, Agnes Görlach, Cordula M. Wolf

“…Targeting Hif-1α might serve as a therapeutic option to mitigate HCM disease progression.…”
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Identifying the Effective Factors in the Development of Creative Tourism at Heritage Sites by Amir Mohammad Moazezi Mehr-e-Tehran

“…It is crucial to manage and mitigate the detrimental effects of tourism through careful planning and conservation, while also harnessing its opportunities. …”
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Analysis the effects of monetary policy in Iran's economy with the existence of shadow banking, using dynamic stochastic general equilibrium method by ashkan makipour, Ahmad Salahmanesh, Ebrahim Anvari, Ebrahim Bahraminia

“…Our analysis allows the following conclusions: firstly, models featuring shadow banking are better able to simulate realistic movements in the business cycle that are of comparable magnitude to the GFC. …”
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Constitutive inflammation and epithelial-mesenchymal transition dictate sensitivity to nivolumab in CONFIRM: a placebo-controlled, randomised phase III trial by Dean A. Fennell, Kayleigh Hill, Min Zhang, Charlotte Poile, Sean Ewings, Essa Y. Baitei, Joanna Dzialo, Nada Nusrat, Jan Rogel, Daniel Faulkner, Christian Ottensmeier, Raffaele Califano, Gerard G. Hanna, Sarah Danson, Nicola Steele, Mavis Nye, Lucy Johnson, Kim Mallard, Joanne Lord, Calley Middleton, Peter Szlosarek, Sam Chan, Liz Darlison, Peter Wells-Jordan, Cathy Richards, James Harber, Aleksandra Bzura, Jake Spicer, Catrin Pritchard, Tamihiro Kamata, Jens C. Hahne, Maymun Jama, Edward J. Hollox, Jason F. Lester, Jin-Li Luo, Zisen Zhou, Hongji Yang, Huiyu Zhou, Astero Klampatsa, Gareth O. Griffiths

“…These findings illuminate features which can be leveraged to advance precision immunotherapy in this rare cancer setting.…”
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Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 by T. Rackow, T. Rackow, X. Pedruzo-Bagazgoitia, T. Becker, S. Milinski, I. Sandu, R. Aguridan, P. Bechtold, S. Beyer, J. Bidlot, S. Boussetta, W. Deconinck, M. Diamantakis, P. Dueben, E. Dutra, E. Dutra, R. Forbes, R. Ghosh, H. F. Goessling, I. Hadade, J. Hegewald, T. Jung, T. Jung, S. Keeley, L. Kluft, N. Koldunov, A. Koldunov, T. Kölling, J. Kousal, C. Kühnlein, P. Maciel, K. Mogensen, T. Quintino, I. Polichtchouk, B. Reuter, D. Sármány, P. Scholz, D. Sidorenko, J. Streffing, B. Sützl, D. Takasuka, D. Takasuka, S. Tietsche, M. Valentini, B. Vannière, N. Wedi, L. Zampieri, F. Ziemen

“…A number of shortcomings in the original numerical weather prediction (NWP)-focused model configurations were identified and mitigated over several cycles collaboratively by the modelling centres, academia, and the wider nextGEMS community. …”
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Epidemiological comparison of the first and second waves of the COVID-19 pandemic in Nigeria, February 2020–April 2021 by Chidiebere Ezeokafor, Tarik Benjamin Mohammed, Chikwe Ihekweazu, Cyril Erameh, Tochi Okwor, Emmanuel Agogo, Kelly Osezele Elimian, Chinwe Lucia Ochu, Ehimario Igumbor, Olusola Aruna, Oladipo Ogunbode, William Nwachukwu, Olaolu Aderinola, Elsie Ilori, John Oladejo, Oluwatosin Wuraola Akande, Chinenye Ofoegbunam, Gbenga Joseph, Priscilla Ibekwe, Muhammad Shakir Balogun, Cornelius Ohonsi, Chinedu Arinze, Khadeejah Hamza, Christian Ibeh, Lauryn Dunkwu, Chijioke Kaduru, Olubunmi Omowunmi Olopha, Dabri Olohije Ohanu, Lilian Nwozor, Anthony Ahumibe, Sikiru Olanrewaju Badaru, Augustine Olajide Dada, Nnaemeka Ndodo, Celestina Obiekea, Ekaete Alice Tobin, Rimamdeyati Yashe, Afolabi Adekaiyaoja, Michael C. Asuzu, Rosemary Ajuma Audu, Muhammad Bashir Bello, Shaibu Oricha Bello, Yusuf Yahaya Deeni, Yahya Disu, Zaiyad Garba Habib, Ifeanyi Franklin Ike, Emem Iwara, Rejoice Kudirat Luka-Lawal, Geoffrey Namara, Lois Olajide, Oluwafunke Olufemi Ilesanmi, Solomon Omonigho, Ferdinand Oyiri, Koubagnine Takpa, Nkem Usha Ugbogulu

“…Background With reports of surges in COVID-19 case numbers across over 50 countries, country-level epidemiological analysis is required to inform context-appropriate response strategies for containment and mitigation of the outbreak. We aimed to compare the epidemiological features of the first and second waves of COVID-19 in Nigeria.Methods We conducted a retrospective analysis of the Surveillance Outbreak Response Management and Analysis System data of the first and second epidemiological waves, which were between 27 February and 24 October 2020, and 25 October 2020 to 3 April 2021, respectively. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…This, in turn, fostered increased teacher–student interaction, mitigated learner isolation, and increased learning motivation, thereby strengthening self-regulated learning abilities. …”
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