Understanding and simulating cropland and non-cropland burning in Europe using the BASE (Burnt Area Simulator for Europe) model by M. Forrest, J. Hetzer, M. Billing, M. Billing, S. P. K. Bowring, S. P. K. Bowring, E. Kosczor, L. Oberhagemann, L. Oberhagemann, O. Perkins, O. Perkins, D. Warren, D. Warren, F. Arrogante-Funes, K. Thonicke, T. Hickler, T. Hickler

“…Here, we focus on understanding and simulating burnt area across a European study domain using remote sensing data and generalised linear models (GLMs). We first examined fire occurrence across land cover types and found that all non-cropland vegetation (NCV) types (comprising 26 % of burnt area) burnt with similar spatial and temporal patterns, which were very distinct from those in croplands (74 % of burnt area). …”
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Consensus Guidelines from the American Society of Pain and Neuroscience for the Use of 60-Day Peripheral Nerve Stimulation Therapy. A NEURON Living Guideline Project by Gill B, Tidwell C, Hagedorn JM, Moreira AM, Lawandy M, Boyett B, Schappell J, Latif U, Pritzlaff S, Skaribas I, Kalia H, Sheth S, Schnur M, Li S, Lester D, Ellico T, Naidu R, Russo D, Massey C, Ottestad E, Vorenkamp K, Vucetic H, Pingree MJ, Abejón D, Desai MJ, Dickerson D, Gulati A, Sayed D, Deer TR

“…Benjamin Gill,1 Cody Tidwell,2 Jonathan M Hagedorn,3 Alexandra M Moreira,4 Marco Lawandy,5 Benjamin Boyett,6 Justin Schappell,7 Usman Latif,8 Scott Pritzlaff,9 Ioannis Skaribas,10 Hemant Kalia,11 Samir Sheth,12 Maricela Schnur,13 Sean Li,14 Denise Lester,15,16 Trevor Ellico,17 Ramana Naidu,18 David Russo,19 Christopher Massey,20 Einar Ottestad,21 Kevin Vorenkamp,22 Henry Vucetic,23 Matthew J Pingree,3 David Abejón,24 Mehul J Desai,25 David Dickerson,26,27 Amitabh Gulati,28 Dawood Sayed,8 Timothy R Deer29 1Omaha Pain Physicians, Omaha, NE, USA; 2Department of Anesthesiology and Pain Medicine, University of Minnesota, Minneapolis, MN, USA; 3Department of Anesthesiology and Perioperative Medicine, Division of Pain Medicine, Mayo Clinic, Rochester, MN, USA; 4Department of Anesthesiology and Pain Medicine, Rush University, Chicago, IL, USA; 5Department of Physical Medicine and Rehabilitation, Montefiore Medical Center, Bronx, NY, USA; 6Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, USA; 7Department of Pain Medicine, Mayo Clinic Health System, Eau Claire, WI, USA; 8Department of Anesthesiology and Pain Medicine, The University of Kansas Health System, Kansas City, KS, USA; 9Department of Anesthesiology and Pain Medicine, University of California–Davis, Sacramento, CA, USA; 10Expert Pain, Houston, TX, USA; 11Center for Research & Innovation in Spine & Pain, Rochester, NY, USA; 12Sutter Health Systems, Roseville, CA, USA; 13Department of Pain Medicine, Guthrie Clinic, Ithaca, NY, USA; 14National Spine and Pain Centers, Shrewsbury, NJ, USA; 15Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA; 16Department of Physical Medicine and Rehabilitation, Richmond VA Medical Center, Richmond, VA, USA; 17Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA; 18MarinHealth Spine Institute, UCSF Affiliate, Larkspur, CA, USA; 19Columbia Pain Management, Hood River, OR, USA; 20Pain Specialists of America, Austin, TX, USA; 21Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; 22Duke University Department of Anesthesiology, Durham, NC, USA; 23University Hospitals Department of Anesthesiology and Perioperative Medicine, Cleveland, OH, USA; 24Unidad de Dolor, Hospital Universitario Quironsalud Madrid, Madrid, Spain; 25International Spine, Pain & Performance Center, Washington, DC, USA; 26Department of Anesthesiology, Critical Care & Pain Medicine, Endeavor Health, Evanston, IL, USA; 27Department of Anesthesia & Critical Care, University of Chicago Pritzker School of Medicine, Chicago, IL, USA; 28Department of Anesthesiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; 29The Spine and Nerve Center of the Virginias, Charleston, WV, USACorrespondence: Benjamin Gill, Email DrBenjaminGill@gmail.comAbstract: Peripheral nerve stimulation (PNS) has evolved with various applications and durations of therapy. In recent years, extensive data has been developed on a 60-day treatment using a novel approach. …”
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Investigation on the motion and fragmentation mechanism of rockfall based on PIV-seismic signal monitoring by Sui Zhende, Zhang Ke, Zhang Kai, Lin Qibin

“…This process elucidates the distinct frequency components associated with different phases of block movement in the seismic signals, furnishing reliable data for accurately capturing the dynamic behaviors inherent in the collapse process. …”
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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…Its limitation lies in the lack of field monitoring data for validation. In the future, site monitoring should be incorporated to further improve model accuracy. …”
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Long-term functioning status of COVID-19 survivors: a prospective observational evaluation of a cohort of patients surviving hospitalisation by Linamara Rizzo Battistella, Felipe Fregni, Marta Imamura, Vinicius Delgado Ramos, Lucas Ramos De Pretto, Simon K H A A Van Cauwenbergh, Sabrina Saemy Tome Uchiyama, Denise Matheus, Flavia Kuhn, Ana Alice Amaral de Oliveira, Gabriella Souza Naves, Aline Rossetti Mirisola, Fernando de Quadros Ribeiro, Andre Tadeu Sugawara, Mauricio Cantarino, Rafael Andrade Santos Antunes Cavalca, Vanessa Pagano, Melina Valentim Marques, Elizabeth Mendes da Silva, Alessandra Pereira Gomes

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Neurotoxic and Neuroprotective Effects of Psychedelics in a Human Neuroblastoma Cell Model by Andreia Machado Brito da Costa, Ricardo Jorge Dinis-Oliveira, Áurea Madureira-Carvalho, Diana Dias-da-Silva

“…They have recently gained attention also for their potential therapeutic applications in treating neurological and psychiatric disorders [1].  …”
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Preparation, and ex vivo and in vivo Characterization of Favipiravir-Loaded Aspasomes and Niosomes for Nose-to-Brain Administration by Salamah M, Volk B, Lekli I, Bak I, Gyöngyösi A, Kozma G, Kónya Z, Szalenkó-Tőkés Á, Kiricsi Á, Rovó L, Balogh-Weiser D, Zupkó I, Csóka I, Katona G, Balogh GT

“…The in vitro–in vivo correlation study showed good correlation between the in vitro and the in vivo pharmacokinetic data.Conclusion: FAV-ASP8 for nose-to-brain delivery system could be a promising formulation to improve FAV bioavailability compared to FAV-NIO9. …”
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Current state of methods for control the safety and potency of diphtheria toxoid and tetanus toxoid in combined vaccines by E. I. Komarovskaya, O. V. Perelygyna

“…In case of death purified DT is not applicable. TT specific safety control is also carried out on guinea pigs. …”
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Progress in silicon-based reconfigurable and programmable all-optical signal processing chips by Jing Xu, Wenchan Dong, Qingzhong Huang, Yujia Zhang, Yuchen Yin, Zhenyu Zhao, Desheng Zeng, Xiaoyan Gao, Wentao Gu, Zihao Yang, Hanghang Li, Xinjie Han, Yong Geng, Kunpeng Zhai, Bei Chen, Xin Fu, Lei Lei, Xiaojun Wu, Jianji Dong, Yikai Su, Ming Li, Jianguo Liu, Ninghua Zhu, Xuhan Guo, Heng Zhou, Huashun Wen, Kun Qiu, Xinliang Zhang

“…In this paper, we review the recent progress in the project granted to develop silicon-based reconfigurable AOSP chips, which aims to combine the merits of AOSP and silicon photonics to solve the unsustainable cost and energy challenges in future communication and big data applications. Three key challenges are identified in this project: (1) how to finely manipulate and reconfigure optical fields, (2) how to achieve ultra-low loss integrated silicon waveguides and significant enhancement of nonlinear effects, (3) how to mitigate crosstalk between optical, electrical and thermal components. …”
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Internet and telephone intervention to support patients discontinuing long-term antidepressants in primary care: the REDUCE research programme including RCT by Tony Kendrick, Beth Stuart, Hannah Bowers, Mahboobeh Haji Sadeghi, Helen Page, Christopher Dowrick, Michael Moore, Mark Gabbay, Geraldine Leydon, Guiqing Lily Yao, Shihua Zhu, Paul Little, Gareth Griffiths, Glyn Lewis, Carl May, Joanna Moncrieff, Chris F Johnson, Una Macleod, Simon Gilbody, Rachel Dewar-Haggart, Samantha Williams, Wendy O’Brien, Riya Tiwari, Catherine Woods, Tasneem Patel, Naila Khan, Emma Maund, Nadja van Ginneken, Amy Din, Claire Reidy, Rebecca Lucier, Bryan Palmer, Taeko Becque, Yumna Masood, Natalie Thompson, Ellen van Leeuwen, Marta Glowacka, Adam WA Geraghty

“…Ideally, coding, study selection, data extraction and bias assessment would be done independently by two reviewers. …”
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Effects of antagonistic network-targeted tDCS on brain co-activation patterns depends on the networks’ electric field: a simultaneous tDCS-fMRI study by Hechun Li, Hongru Shi, Sisi Jiang, Changyue Hou, Haonan Pei, Hanxi Wu, María Luisa Bringas Vega, Gang Yao, Dezhong Yao, Cheng Luo

“…A total of 143 healthy participants were recruited and assigned to receive central executive network (CEN)-targeted tDCS (C-targeted group), default mode network (DMN)-targeted tDCS (D-targeted group), or sham tDCS (sham group). fMRI data with three sections (pre-stimulation, during-stimulation, post-stimulation) were collected across all subjects. …”
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Development of a core patient-centred outcome set for adults living with obesity: a modified delphi-based international consensusResearch in context by Teferi Mekonnen, Leanne Staniford, Spencer Connell, Zofia Das-Gupta, Umanga DeSilva, Yasmine Saoud, Isabel Miller, Mohapradeep Mohan, Simon Nienhuijs, Megha Poddar, Vaishali Chetan Deshmukh, Marli Conradie-Smit, Soo Huat Teoh, Sanjeev Sockalingam, Emilia Huvinen, Paolo Sbraccia, Ronald Liem, Michael Vallis, Kenneth Clare, Tracy Zvenyach, Karen Coulman, Marianela Aguirre Ackermann, Verónica Vázquez-Velázquez, Yudith Preiss Contreras, Josep Vidal, Agbo Urudinachi, María Fernanda Tejeda-Muñoz, Ian Patton, T Alafia Samuels, Morgan Emile Gabriel Salmon Leguede, Georgia Rigas, Ximena Ramos Salas, Michael Crotty, Bruno Halpern, Daniel Bessesen, Laura Pizzi, Omniyat Mohammed Al Hajeri, Arya M. Sharma

“…Implementation can support the creation of a robust international data resource to guide research, inform clinical practice, and shape policy and guidelines for adult obesity treatment. …”
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The Reliability of a Novel Structured Testing Device for Single-breath Lung Carbon Monoxide Uptake: A Randomized Comparison Crossover Study by Shihua Yao, Tuping Fu, Kuiqing Lin, Zhongping Wu, Shubing Chen, Liping Zhong, Beilan Shen, Yanqing Xie, Jiaying An, Xudong Wang, Wenting Liu, Xinxin Yu, Jinping Zheng, Yi Gao

“…Clinical trial number Not applicable.…”
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Remote Sensing Video Tracking: Current Status, Challenges, and Future by Fang Liu, Jiahao Wang, Licheng Jiao, Jie Zhang, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu, Wenping Ma, Shuang Wang, Shuyuan Yang, Xiangrong Zhang, Yaoyang Du, Qianyue Bao, Long Sun, Biao Hou

“…With the rapid advancement of remote sensing technology, the acquisition and processing of remote sensing video data, including high-resolution satellite, hyperspectral, and synthetic aperture radar video, have become key research areas in remote sensing. …”
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Effect of grinding wheel type and cooling method on grinding quality of SiCf/SiC ceramic matrix composites by Ben WANG, Jiajie TANG, Hongdi CHU, Qi ZHANG

“…Therefore, in practical applications, the grinding wheels and cooling methods should be reasonably selected based on different processing requirements to improve the processing quality and the efficiency of SiCf/SiC composites. …”
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Photon sensor-based monitoring of spatial variations in canopy FIPAR for crop growth assessment by Jian Wang, Zhenggui Zhang, Xin Li, Lu Feng, Xiaofei Li, Minghua Xin, Shiwu Xiong, Yingchun Han, Shijie Zhang, Xiaoyu Zhi, Beifang Yang, Guoping Wang, Yaping Lei, Zhanbiao Wang, Yabing Li

“…Crop growth monitoring technology holds great potential to enable timely management adjustments, optimize resource use, and support sustainable agriculture practices, achieving efficient intelligent agriculture for data-driven cultivation. Traditional field measurement and monitoring methods are often inefficient and provide limited, outdated information. …”
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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…Background and Aim: Machine learning based on clinical data and treatment protocols for better clinical decision-making is a current research hotspot. …”
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DETERMINATION OF FREQUENCY AND RISK FACTORS OF SECONDARY MALIGNANCY DEVELOPMENT IN HEMATOLOGICAL MALIGNANCIES by Ennur Ramadan, Güven Çetin, Özge Pasin

“…Additionally, most studies on this topic conducted on data from the SEER (Surveillance, Epidemiology, and End Results) database. …”
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Utilizing brown mushroom stem waste as an eco-friendly alternative to soybean meal in layer chick nutrition by Ahmed A. A. Abdel-Wareth, Ahmed A. A. Abdel-Wareth, Kayla G. Stamps, Md Salahuddin, Venkatesh Balan, Maedeh Mohammadi, Woo Kyun Kim, Weihang Zhu, Ahmed A. Ahmed, Cassandra D. Gray, Adrian M. W. Aviña, Taylor Rounds-Carter, Trahmilla Carr, Amri Williams, Adebowale Bakare, Jayant Lohakare

“…At the end of the study, randomly selected birds were slaughtered for blood and organ collection for further analysis. Data analysis was performed using one-way ANOVA in SAS 9.4 software. …”
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Epitope mapping of SARS-CoV-2 Spike protein using naturally-acquired immune responses to develop monoclonal antibodies by Rubén López-Aladid, Leticia Bueno-Freire, Roc Farriol-Duran, Eduard Porta-Pardo, Ruth Aguilar, Marta Vidal, Alfons Jiménez, Roberto Cabrera, Nil Vázquez, Alexandre López-Gavín, Gemma Moncunill, Montserrat Carrascal, Teresa García, Miquel Lozano, Alberto L. García-Basteiro, Carlota Dobaño, Martalu D. Pazos, M.-Carmen Estevez, Laura M. Lechuga, Antoni Torres, Laia Fernández-Barat

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