Adoption of innovations, products or online services is commonly interpreted as a spreading process driven to large extent by social influence and conditioned by the needs and capacities of individuals. To model this process one usually introduces behavioural threshold mechanisms, which can give rise to the evolution of global cascades if the system satisfies a set of conditions. However, these models do not address temporal aspects of the emerging cascades, which in real systems may evolve through various pathways ranging from slow to rapid patterns. Here we fill this gap through the analysis and modelling of product adoption in the world's largest voice over internet service, the social network of Skype. We provide empirical evidence about the heterogeneous distribution of fractional behavioural thresholds, which appears to be independent of the degree of adopting egos. We show that the structure of real-world adoption clusters is radically different from previous theoretical expectations, since vulnerable adoptions-induced by a single adopting neighbour-appear to be important only locally, while spontaneous adopters arriving at a constant rate and the involvement of unconcerned individuals govern the global emergence of social spreading.
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http://dx.doi.org/10.1038/srep27178 | DOI Listing |
Hortic Res
January 2025
Key Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, 9 South Meiling Road, Hangzhou 310008, China.
Leucine-rich repeat receptor-like kinases (LRR-RLKs) have emerged as key regulators of herbivory perception and subsequent defense initiation. While their functions in grass plants have been gradually elucidated, the roles of herbivory-related LRR-RLKs in woody plants remain largely unknown. In this study, we mined the genomic and transcriptomic data of tea plants () and identified a total of 307 CsLRR-RLK members.
View Article and Find Full Text PDFJ Control Release
January 2025
State Key Laboratory of Natural Medicines, Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, PR China; NMPA Key Laboratory for Research and Evaluation of Cosmetics, China Pharmaceutical University, Nanjing 211198, PR China. Electronic address:
The metastasis and recurrence of cancer post-surgery remain the major reasons for treatment failures. Herein, a photo-immune nanoparticle decorating with M1 macrophage membrane (BD@LM) is designed based on the inflammatory environment after surgical resection. By loading photosensitizer black phosphorus quantum dots (BPQDs) and chemotherapeutics doxorubicin (DOX) in BD@LM nanoparticles, an effective chemophototherapy-mediated immunogenic cell death of tumor cells is triggered, subsequently leading to the maturation of dendritic cells for further immune cascade.
View Article and Find Full Text PDFCell Mol Life Sci
January 2025
Institute of Endotypes in Oncology, Metabolism, and Immunology, National Research Council, Via Pietro Castellino 111, Naples, Italy.
Breast cancer represents the primary cause of death of women under 65 in developed countries, due to the acquisition of multiple drug resistance mechanisms. The PI3K/AKT pathway is one of the major regulating mechanisms altered during the development of endocrine resistance and inhibition of steps in this signalling pathway are adopted as a key strategy to overcome this issue. ADP-ribosylation is a post-translational modification catalysed by PARP enzymes that regulates essential cellular processes, often altered in diseases.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Introduction: Male engagement in HIV testing during pregnancy significantly contributes towards the prevention of maternal seroconversion and paediatric HIV acquisition. Despite this, men especially the male partners of pregnant women have been consistently missing in the HIV prevention cascade. The factors accounting for sub-optimal levels in male engagement intersect but reasons for this are poorly understood.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
School of Computer and Control Engineering, Yantai University, Yantai, China.
Background: Skin lesion segmentation plays a significant role in skin cancer diagnosis. However, due to the complex shapes, varying sizes, and different color depths, precise segmentation of skin lesions is a challenging task. Therefore, the aim of this study was to design a customized deep learning (DL) model for the precise segmentation of skin lesions, particularly for complex shapes and small target lesions.
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