by Xiankai Lei, Dongmei Yang
Digital technology is shaping our traditional agriculture in unprecedented ways. As a new engine to empower farmers and promote common prosperity in rural areas, the development of the digital economy can help revitalize rural industries, providing strong support for increasing industrial value-added income and farmers’ income levels. Based on 676 pooled cross-section data of high-quality farmers in China Guangdong Province from 2020–2021, the article empirically... Читать дальше...
by Vuyelwa Mehlomakulu, Musawenkosi Mabaso, Sean Jooste, Allanise Cloete, Sizulu Moyo, Leickness Simbayi
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by Qiushi Wang, Zhicheng Sun, Yueming Zhu, Dong Li, Yunbin Ma
As a critical component in mechanical systems, the operational status of rolling bearings plays a pivotal role in ensuring the stability and safety of the entire system. However, in practical applications, the fault diagnosis of rolling bearings often encounters limitations due to the constraint of sample size, leading to suboptimal diagnostic accuracy. This article proposes a rolling bearing fault diagnosis method based on an... Читать дальше...
by Manatsaphon Sukmak, Thin Su Kyaw, Kanokwan Nahok, Amod Sharma, Atit Silsirivanit, Worachart Lert-itthiporn, Deanpen Japrung, Somchai Pinlaor, Sirirat Anutrakulchai, Carlo Selmi, Carolyn M. Slupsky, Bruce D. Hammock, Ubon Cha’on
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by Shinya Tomari, Thomas Lillicrap, Carlos Garcia-Esperon, Yumi Tomari Kashida, Andrew Bivard, Longting Lin, Christopher R. Levi, Neil J. Spratt
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by Hui Huang, Jing Cui, Hua Zhang, Yuhui Gu, Haosheng Ni, Ya Meng
BackgroundThe relationship between a nurse and a patient is a key part of nursing that can impact how happy the patient is with the care they receive. It appears that the nurse’s mental health can also affect this connection. However, there is little research on this topic. So, the aim of the present study was to determine the correlation of nurse’s mental health with nurse–patient relational care and nursing care satisfaction. Читать дальше...
by Andy Wai Kan Yeung
IntroductionIn current neuroimaging studies, the mainstream practice is to report results corrected for multiple comparisons to control for false positives. In 2009, Lieberman and Cunningham published a highly cited report that promotes the use of uncorrected statistical thresholds to balance Types I and II error rates. This paper aims to review recent studies that cited this report, investigating whether the citations were to justify the use of uncorrected statistical thresholds... Читать дальше...
by Gaspard Pagès, Philippe Dillmann, Enrique Vega, Marion Berranger, Sylvain Bauvais, Luc Long, Philippe Fluzin
by G. William Letson, Anthony A. Marfin, Jessica Mooney, Huong Vu Minh, Susan L. Hills, the JE Vaccine Global Impact Assessment Team
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by Veroni de Ree, Tilak Chandra Nath, Priyanka Barua, Dorothee Harbecke, Dongmin Lee, Christian Rödelsperger, Adrian Streit
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by Suman Kanungo, Ranjan Kumar Nandy, Rounik Talukdar, Manoj Murhekar, Andrew S. Azman, Sonia T. Hegde, Pranab Chatterjee, Debjit Chakraborty, Madhuchhanda Das, P Kamaraj, Muthusamy Santhosh Kumar, Dengue Serosurvey Group , Shanta Dutta
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by Elisa Dias Pereira, Thalison Rodrigues Moreira, Vanessa Rafaela Milhomem Cruz-Leite, Mariana Vieira Tomazett, Lana O’Hara Souza Silva, Daniel Graziani, Juliana Assis Martins, André Corrêa Amaral, Simone Schneider Weber, Juliana Alves Parente-Rocha, Célia Maria de Almeida Soares, Clayton Luiz Borges
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by Sarah E. Greene, Yuefang Huang, Kerstin Fischer, Bruce A. Rosa, John Martin, Makedonka Mitreva, Devyn Yates, Samuel Wanji, Joseph Kamgno, Philip J. Budge, Gary J. Weil, Peter U. Fischer
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by Yu Zhou, Mao Zheng, Yanfeng Gong, Junhui Huang, Jiamin Wang, Ning Xu, Yixin Tong, Yue Chen, Qingwu Jiang, Yu Cai, Yibiao Zhou
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by Svetlana V. Doubova, Claudio Quinzaños Fresnedo, Martín Paredes Cruz, Diana Perez-Moran, Ricardo Pérez-Cuevas, Verónica Meneses Gallardo, Luis Rey Garcia Cortes, Megan Carolina Cerda Mancillas, Victoria Martínez Gaytan, Miguel Angel Romero Garcia, Gilberto Espinoza Anrubio, Claudia Elsa Perez Ruiz, Carlos A. Prado-Aguilar, Augusto Sarralde Delgado, Margaret E. Kruk, Catherine Arsenault
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by Emily R. Czajkowski, Yuntong Zou, Nikita S. Divekar, Sarah M. Wignall
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by Yi-Ting Huang, Lauren L. Hesting, Brian R. Calvi
A programmed developmental switch to G / S endocycles results in tissue growth through an increase in cell size. Unscheduled, induced endocycling cells (iECs) promote wound healing but also contribute to cancer. Much remains unknown, however, about how these iECs affect tissue growth. Using the D. melanogaster wing disc as model, we find that populations of iECs initially increase in size but then subsequently undergo a heterogenous arrest that causes severe tissue undergrowth. Читать дальше...
by Annika Schmidt, Marion Forano, Arne Sachtler, Davide Calzolari, Bernhard M. Weber, David W. Franklin, Alin Albu-Schäffer
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by Anis Ur Rahman, Gleb Tikhonov, Jari Oksanen, Tuomas Rossi, Otso Ovaskainen
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by Kath Nicholls, Paul D. W. Kirk, Chris Wallace
Clustering is widely used in bioinformatics and many other fields, with applications from exploratory analysis to prediction. Many types of data have associated uncertainty or measurement error, but this is rarely used to inform the clustering. We present Dirichlet Process Mixtures with Uncertainty (DPMUnc), an extension of a Bayesian nonparametric clustering algorithm which makes use of the uncertainty associated with data points. We show... Читать дальше...
by Yanpeng Yang, Yanyi Zheng, Quan Zou, Jian Li, Hailin Feng
The off-target activities within the CRISPR-Cas9 system remains a formidable barrier to its broader application and development. Recent advancements have highlighted the potential of deep learning models in predicting these off-target effects, yet they encounter significant hurdles including imbalances within datasets and the intricacies associated with encoding schemes and model architectures. To surmount these challenges, our... Читать дальше...
by Steffen Krüppel, Mohammad H. Khani, Helene M. Schreyer, Shashwat Sridhar, Varsha Ramakrishna, Sören J. Zapp, Matthias Mietsch, Dimokratis Karamanlis, Tim Gollisch
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by Yujin Goto, Keiichi Kitajo
Understanding the mechanism by which the brain achieves relatively consistent information processing contrary to its inherent inconsistency in activity is one of the major challenges in neuroscience. Recently, it has been reported that the consistency of neural responses to stimuli that are presented repeatedly is enhanced implicitly in an unsupervised way, and results in improved perceptual consistency. Here, we propose the term "selective consistency" to describe... Читать дальше...
by Laura Collesano, Marta Łuksza, Michael Lässig
Molecules of the Major Histocompatibility Complex (MHC) present short protein fragments on the cell surface, an important step in T cell immune recognition. MHC-I molecules process peptides from intracellular proteins; MHC-II molecules act in antigen-presenting cells and present peptides derived from extracellular proteins. Here we show that the sequence-dependent energy landscapes of MHC-peptide binding encode class-specific nonlinearities (epistasis). Читать дальше...
by Zhichao Zhu, Yang Qi, Wenlian Lu, Jianfeng Feng
Neural activity in the cortex exhibits a wide range of firing variability and rich correlation structures. Studies on neural coding indicate that correlated neural variability can influence the quality of neural codes, either beneficially or adversely. However, the mechanisms by which correlated neural variability is transformed and processed across neural populations to achieve meaningful computation remain largely unclear. Here we propose... Читать дальше...