Plant expansins are structural cell wall-loosening proteins implicated in several developmental processes and responses to environmental constraints and pathogen infection. To date, there is limited information about the biological function of expansins-like B (EXLBs), one of the smallest and less-studied subfamilies of plant expansins. In the present study, we conducted a functional analysis of the wild Arachis AdEXLB8 gene in transgenic tobacco (Nicotiana tabacum) plants to clarify its putative role in mediating defense responses to abiotic and biotic stresses. First, its cell wall localization was confirmed in plants expressing an AdEXLB8eGFP fusion protein, while nanomechanical assays indicated cell wall reorganization and reassembly due to AdEXLB8 overexpression without compromising the phenotype. We further demonstrated that AdEXLB8 increased tolerance not only to isolated abiotic (drought) and biotic (Sclerotinia sclerotiorum and Meloidogyne incognita) stresses but also to their combination. The jasmonate and abscisic acid signaling pathways were clearly favored in transgenic plants, showing an activated antioxidative defense system. In addition to modifications in the biomechanical properties of the cell wall, we propose that AdEXLB8 overexpression interferes with phytohormone dynamics leading to a defense primed state, which culminates in plant defense responses against isolated and combined abiotic and biotic stresses. To investigate the professional quality of life and caring behaviours among clinical nurses in Saudi Arabia during the COVID-19 pandemic. We also examined the influence of the nurses' socio-demographic and professional characteristics on the professional quality of life. Moreover, the study examined the influence of professional quality of life on caring behaviour among the nurses amid the COVID-19 pandemic. Caring is the core of the nursing profession and considered the heart of the humanistic clinical nursing practice. However, the work nature of the clinical nurses, especially during the COVID-19 pandemic, continues to challenge their professional quality of life and caring behaviours. The factors influencing the professional quality of life and caring behaviours of clinical nurses have not been extensively explored. Cross-sectional, descriptive study. A purposive sample of 375clinical nurses in three academic medical centres in Saudi Arabia were surveyed using the professional quality of life versand negative domains of professional quality of life influenced the caring behaviours among clinical nurses. Based on the results of the study, clinical nurses exhibited moderate level of professional quality of life and correlates to their caring behaviours. Moreover, clinical nurses' demographic characteristics predicted their professional quality of life and caring behaviours. The importance of ensuring good professional quality of life and caring behaviour among clinical nurses during the COVID-19 pandemic is underscored. Nursing leaders can utilise this baseline evidence and apply programmes for clinical nurses to tackle professional quality of life issues and enhance caring behaviours.The importance of ensuring good professional quality of life and caring behaviour among clinical nurses during the COVID-19 pandemic is underscored. Nursing leaders can utilise this baseline evidence and apply programmes for clinical nurses to tackle professional quality of life issues and enhance caring behaviours. Medicinal plants are very important to human health, and ensuring their quality and rapid evaluation are the current research concerns. Deep learning has a strong ability in recognition. This study extended it to the identification of medicinal plants from the perspective of spectrum. In order to realise the rapid identification and provide a reference for the selection of high-quality resources of medicinal plants, a combination of deep learning and two-dimensional correlation spectroscopy (2DCOS) was proposed. For the first time, Fourier transform mid-infrared (FT-MIR) and near-infrared (NIR) spectroscopy 2DCOS images combined with residual neural network (ResNet) was used for the origin identification of Paris polyphylla var. yunnanensis. In total 1593 samples were collected and 12821 2DCOS images were drawn. The climate of different origins was briefly analysed. The xishuangbanna, puer, lincang, honghe and wenshan are the five regions with more ecological advantages. The synchronous 2DCOS models of FT-MIR and NIR could realise origin identification with the accuracy of 100%. The synchronous images were suitable for the identification of medicinal plants with complex systems. The full band, feature band and different contour models had no big difference in distinguishing ability, so they were not the key factors affecting the discrimination results. The ResNet models established were stable, reliable, and robust, which not only solved the problem of origin identification, expanded the application field of deep learning, but also provided practical reference for the related research of other medicinal plants.The ResNet models established were stable, reliable, and robust, which not only solved the problem of origin identification, expanded the application field of deep learning, but also provided practical reference for the related research of other medicinal plants.The Public Health Intervention Wheel (PHI Wheel) is a population-based practice model for public health nursing practice that encompasses three levels of practice (community, systems, individual/family) and 17 public health interventions. This article shares the story of how the PHI Wheel was created, disseminated, implemented by public health nurses (PHNs) and educators across the globe, and updated with new evidence published in the second edition of Public Health Interventions Applications for Public Health Nursing in 2019. Evidence on the relevance of PHI Wheel interventions for public health practice in cultural and international settings supports the model's value in explaining PHN practice. This article highlights the experiences of various countries with the PHI Wheel including Canada, Ireland, New Zealand, Norway, Sweden, the United Kingdom, and the United States. selleck products The evidence update confirms the relevance of the model to PHN education and practice and reinforces the conviction that development of new evidence is essential for promoting population health.