The surface science-based approach to synthesising new organic materials on surfaces has gained considerable attention in recent years, owing to its success in facilitating the formation of novel 0D, 1D and 2D architectures. The primary mechanism used to date has been the catalytic transformation of small organic molecules through substrate-enabled reactions. In this Topical Review, we provide an overview of alternate approaches to controlling molecular reactions on surfaces. These approaches include light, electron and ion-initiated reactions, electrospray ionisation deposition-based techniques, collisions of neutral atoms and molecules, and superhydrogenation. We focus on the opportunities afforded by these alternative approaches, in particular where they may offer advantages in terms of selectivity, spatial control or scalability.
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http://dx.doi.org/10.1088/1361-648X/acbc01 | DOI Listing |
Int J Dev Neurosci
February 2025
Department of Digestive and Nutrition, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
Neonatal hypoxic-ischemic encephalopathy (HIE) is a severe neurological injury during infancy, often resulting in long-term cognitive deficits. This study aimed to investigate the neuroprotective effects of Edaravone (EDA), a free radical scavenger, and elucidate the potential role of brain-derived neurotrophic factor (BDNF) in mediating these effects in neonatal HIE rats. Using the Rice-Vannucci model, HIE was induced in neonatal rats, followed by immediate administration of EDA after the hypoxic-ischemic insult.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Department of Plant Pathology and Weed Research, Agricultural Research Organization, Volcani Institute, Rishon LeZion, Israel.
Agricultural landscapes adjacent to human settlements are subject to unique ecological dynamics that influence pest populations, yet the complexity of these relationships remains relatively underexplored. This review synthesizes current knowledge on the impacts of urban proximity on agricultural plant pathogen pest dynamics, focusing on spatial distribution patterns, theoretical frameworks from landscape ecology, and the specific mechanisms driving these interactions. The urban heat island effect, habitat fragmentation, and human activities contribute to altered microclimates, reduced natural predator populations, and increased pest proliferation near settlements.
View Article and Find Full Text PDFPhysiol Plant
January 2025
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Pinellia ternata is an herb species in the Pinellia genus with significant economic value due to its medicinal properties. Understanding the accumulation and spatial distribution characteristics of metabolites during the development of the medicinal part, the rhizome of P. ternata (PR), provides a basis for targeted metabolic regulation and quality evaluation.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Faculty of Geography, Yunnan Normal University, Kunming, China.
Exposure to infected animals and their contaminated environments may be the primary cause of human infection with the H7N9 avian influenza virus. However, the transmission characteristics and specific role of various influencing factors in the spread of the epidemic are not clearly understood. Therefore, it is of great significance for scientific research and practical application to explore the influencing factors related to the epidemic.
View Article and Find Full Text PDFEnergy Environ Sci
January 2025
Light Technology Institute, Karlsruhe Institute of Technology Engesserstrasse 13 76131 Karlsruhe Germany
Reproducible large-area fabrication is one of the remaining challenges for the commercialization of perovskite photovoltaics. Imaging methods augmented with deep learning (DL) enable in-line detection of spatial or temporal inconsistencies and predict the impact of observed changes on device performance. In this work, we showcase three use cases of how DL augments complex experimental data analysis of the large-area perovskite thin film formation, even on moderate-sized datasets.
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