Multivalent mpox protein nanoparticle vaccines confer cross-protection against orthopoxvirus infection
by Lijun Zhang, Chuanyu Liu, Chenxi Yang, Xueqi Xiao, Senyu Xu, Shengfeng Wan, Kun Xu, Yan Li, Lianpan Dai
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by Lijun Zhang, Chuanyu Liu, Chenxi Yang, Xueqi Xiao, Senyu Xu, Shengfeng Wan, Kun Xu, Yan Li, Lianpan Dai
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by Cristian V. Crisan, Joanna B. Goldberg
by Zhengyong Tao, Mingming Wu, Min Qu, Hui Wu, Banglai Sun, Deqiang Xie, Zhongzhi Tong
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by Soichiro Hirasawa, Kentaro Murakami, Masayuki Kano, Satoshi Endo, Takeshi Toyozumi, Yasunori Matsumoto, Ryota Otsuka, Nobufumi Sekino, Tadashi Shiraishi, Takahiro Ryuzaki, Kazuya Kinoshita, Takuma Sasaki, Hisahiro Matsubara
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by Xuhui Liu, Chi Feng, Shuran Zi, Zhengkun Qin, Qinghe Guan
Ship object detection and fine-grained recognition of remote sensing images are hot topics in remote sensing image processing, with applications in fishing vessel operation command, merchant ship navigation route planning, and other fields. In order to improve the detection accuracy for different types of remote sensing ship objects, this paper proposes a ship object perception and feature refinement method based on the improved ReDet, called Mamba-ReDet (M-ReDet). Читать дальше...
by Nadine Mulfinger, Marc N. Jarczok, Andreas Müller, Melanie Genrich-Hasken, Britta Worringer, Janna Katharina Küllenberg, Florian Junne, Felicitas Rapp, Monika A. Rieger, Eva Rothermund-Nassir, Ute Ziegenhain, Nicole R. Hander, Imad Maatouk, Madeleine Helaß, Martin Peters, Anja Sander, Regina Krisam, Ronald Limprecht, Elena Gesang, Sascha A. Ruhle, Stefan Süß, Bernd Puschner, Peter Angerer, Harald Gündel
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by Javier Martín-Escolano, Ana Ruiz-Molina, Cristina Rodríguez-Urbistondo, Carmen Infante-Domínguez, Gabriela Abelenda-Alonso, Gorane Euba, Zaira R. Palacios-Baena, Francisco Arnaiz-Revillas, Jorge Alba, Alexander Rombauts, Regino J. Rodríguez-Álvarez, Natalia Maldonado, Claudia González-Rico, Sonia Santibañez, Marta Carretero-Ledesma, Laura Merino, Jordi Carratalá, Ane Josune Goikoetxea-Agirre, Marta Fernández-Martínez, José Antonio Oteo, María Carmen Fariñas, Jesús Rodríguez-Baño, José Miguel Cisneros... Читать дальше...
by Jinwei Dai, Wenye Xu, Nianzhe Sun, Ting Wu, Zhaoxin Qian, Zhihong Zuo
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by Pruettha Aruvornlop, Sekkarin Ploypetch, Walasinee Sakcamduang, Sirintra Sirivisoot, Tanit Kasantikul, Sittiruk Roytrakul, Narumon Phaonakrop, Nlin Arya
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by Nasra Abdelhadi, Irit Bluvstein, Ronit Kigli-Shemesh, Semyon Melnikov
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by Dafa Duge Wachifo, Dereje Danbe Debeko, Zeytu Gashaw Asfaw
BackgroundEthiopia faces a high burden of undernutrition prevalence, ranking among the 15 worst-affected nations globally. So, this study aimed to find out how often and how long under-five children (U5C) in Ethiopia’s Amhara and Oromia regions move between different states of Composite Index Anthropometry Failure (CIAF) as well as what factors influence these changes.
MethodsThe data used for this study was extracted... Читать дальше...
by Mauro Gallegati, Milena Lopreite, Michelangelo Puliga
We present an original study on the usage of a model of network formation to analyze the X (formerly Twitter) friendship network relative to the health organizations that are fighting a specific infectious disease such as Tuberculosis (TBC) as well as how the network evolves over time. Using this model, that mixes information from social media and the underlying reconstructed economic network of their actors, together with disease incidence information... Читать дальше...
by Jingqi Cui, Di Zuo, Xiaoxi Men, Chongshuai Wang
The harmonic drive is a new type of high-efficiency gear transmission system, widely used in precision machinery, robotics, and aerospace due to its compact structure and high transmission accuracy, and the multiple uncertain parameters in it will seriously affect its transmission performance. In this paper, the limit state functions for multiple failure modes of harmonic drive are established based on the stress-strength interference theory. Читать дальше...
by Patrick B. Finnerty, Peter B. Banks, Adrian M. Shrader, Clare McArthur
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by Catherine Park, Namhee Kim, Miji Kim, Chang Won Won, Beom-Chan Lee
Falls are a critical concern in older adults with cognitive frailty (CF). However, previous studies have not fully examined whether machine learning models can predict falls in older individuals with CF. The 2-year longitudinal data set from the Korean Frailty and Aging Cohort Study and machine learning approach were utilized to predict fall risk. We analyzed multidimensional health data, including demographics, clinical conditions... Читать дальше...
by Ruibo Sha, Zhifeng Zhang, Xiao Cui, Qingzheng Mu
Sewer pipeline defect detection is a critical task for ensuring the normal operation of urban infrastructure. However, the sewer environment often presents challenges such as multi-scale defects, complex backgrounds, lighting changes, and diverse defect morphologies. To address these issues, this paper proposes a lightweight cross-scale feature fusion model based on YOLOv8. First, the C2f module in the backbone network is replaced with the... Читать дальше...
by Yancong Zhang, Xiu Jin, Xiaodan Zhang, Yuting Wu, Lijing Tu
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field of HSI processing due to their powerful long-range sequence modeling capabilities and the efficiency advantages of linear computing. Based on this theoretical basis, We propose a novel deep learning framework: long-sequence Mamba (EchoMamba)... Читать дальше...
by Jiao Zhu, Min Yang, Cuiying Zhou, Houyong Kang, Deping Wang
BackgroundTo evaluate the global, regional, and national burdens of and trends in age-related and other hearing loss (ARoHL) from 1990–2021 based on the Global Burden of Disease 2021 database.
MethodsThis study examined trends and disparities in the prevalence and years lived with disability (YLDs) of patients with ARoHL across age, sex, and the sociodemographic index (SDI). The estimated annual percentage change (EAPC) was calculated to assess temporal trends. Читать дальше...
by Chenyu Zheng, Ming Fang, Yue Zhang, Xinyu Liu, Zhihuan Huang
Exposure to natural landscapes has been shown to affect both physiological and psychological well-being, with the extent of these effects varying across different landscape types. However, the underlying mechanisms remain poorly understood. The association among stress reduction, environments characteristics and individual differences requires further investigation, particularly considering the complexity of landscape attributes and the variability of personal responses. Читать дальше...
by Alessandro Roman, Charlotte Linthout, Ben Raymond, Constantianus J. M. Koenraadt
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by Minjung Lee
Efficient and effective public health surveillance during epidemics relies heavily on active and voluntary public participation, including timely COVID-19 testing and disclosure of results to contacts. This study aimed to investigate predictors of COVID-19 testing and disclosure hesitancy, with a focus on the role of responsibility attribution during the early stages of the Omicron epidemic in South Korea. A cross-sectional survey was conducted with 1,000 participants between February 25 and March 2, 2022. Читать дальше...
by Yordi Sebastián Tamayo-Molina, Juan Felipe Valdés-López, Geysson J. Fernandez, Silvio Urcuqui-Inchima
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by Ramesh Malashi, Sunita Sharma, Srijana Adhikari, Chitra Raj Sharma, Arun Kumar Joshi, Buna Bhandari
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by Nikita Komarov, Christopher Aeschbacher, Laurent Sauterel, Evan Zuercher, Xavier Bailly, Pedro Martinez, Simon G. Sprecher
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by Charlotte J. Whiffin, Kathleen Joy O. Khu, Brandon G. Smith, Isla Kuhn, Santhani M. Selveindran, Laura Hobbs, Samin Davoody, Yusuf Docrat, Orla Mantle, Upamanyu Nath, Lara Onbaşı, Stasa Tumpa, Ignatius N. Esene, Harry Mee, Fergus Gracey, Shobhana Nagraj, Tom Bashford, Angelos G. Kolias, Peter J. Hutchinson
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