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客座编辑：Beatriz Calvo-Merino, Emily Cross, Caroline Di Bernardi Luft, Guido Orgs, Oshin Vartanian & Dhanraj Vishwanath

How do humans form new ideas, perceive beauty, and develop preferences? Creative and aesthetic decisions are of relevance in various contexts, such as in advertising and marketing, exhibitions and music performances, or even when it comes to romantic partner choice. Furthermore, perceiving one’s surroundings as beautiful has been shown to have a positive impact on psychological well-being. Seeking art therapy can facilitate both expression and processing of complex emotions, which highlights the effect of aesthetic experience and practice on individuals’ mental health.

This Collection welcomes work studying the cognitive and neural basis of making as well as experiencing arts and beauty, covering creativity and neuroaesthetics.

客座编辑：Chunli Chen, Wouter Kohlen & Nobutoshi Yamaguchi

Unlike many animals, the adult body of a plant is not defined during embryogenesis. Instead, throughout their lifecycle, plants undergo a series of developmental changes that rely on the activity of groups of pluripotent stem cells, known as meristems. Plants exhibit two primary meristems: the root apical meristem, from which root tissues differentiate, and the shoot apical meristem, from which the aerial part of the plant develops. The latter can itself evolve from a vegetative to a reproductive meristem. Besides regulating plant development, meristems are also key to ensure plant survival under adverse environmental conditions and to store information of past stress events.

This Collection aims to showcase the latest research on plant primary and secondary meristems and invites original research on meristem-related molecular signalling and how it impacts plant development and responses to the environment.

客座编辑：Lorrie A. Kirshenbaum, Jorge Melendez-Zajgla, Prabhakara R Nagareddy, Khadija Rafiq & Daolin Tang

Damaged cells produce molecules that trigger inflammation and stimulate the innate or adaptive immune response. These damage-associated molecular patterns, or DAMPs, may be released in response to tissue injury, infection, and oxidative stress. When produced in excess, DAMPs can lead to cytokine storms, sepsis, and organ failure. DAMPs play a complicated role in cancer progression and treatment: standard therapies promote DAMP production, while DAMPs, in turn, either promote or suppress the growth of tumor cells. Because they are predictors of cell death, DAMPs can also serve as valuable biomarkers to establish prognosis in a range of pathologies and in organ transplantation. Meanwhile, blocking DAMP pathways can improve patient outcomes in many of these contexts. This Collection welcomes research on all aspects of DAMPs, including their production, their mechanisms of action, and their promise as biomarkers and therapeutic targets.

客座编辑：David Matthew Feliciano, Teiichi Furuichi & Verónica Martínez Cerdeño

Autism spectrum disorders (ASD) encompasses a range of neurological and developmental differences that may result in individuals experiencing difficulties in communication and social interactions, or having unusually strong interests in specific topics, among many other characteristics. Generally, ASD can develop due to a combination of environmental and genetic factors, which lead to impairment in the development of the different areas of the brain. We are only just starting to uncover the genetic and molecular mechanisms behind these disorders that may contribute to their treatment.

In this Collection, we aim to combine studies that focus on uncovering the molecular basis for the neurological manifestation of ASD, with research that investigates the genetic factors that contribute to its symptoms.

客座编辑：Asia Khamzina & Xiankai Lu

Forestry is the combined science and craft behind the plantation, management, restoration, and conservation of forests. From ancient woodlands rich in biodiversity, to intense monocultures for timber production, forests provide vital resources and ecosystem services for wildlife and people alike. Climate change, increased human pressures, and loss of biodiversity have led to a growing interest in active and sustainable forestry practices. Recent years have seen a push for the preservation of natural forests and plantation of new woodland areas, alongside better agricultural, industrial, and urban standards.

This Collection welcomes submissions from all fields of modern forestry and interdisciplinary research, providing new insights into sustainable forest creation, management, and conservation.

客座编辑：Yusuke Higashi, Chandrashekhar V. Kulkarni & Liana C. Silva

Lipid droplets are conserved, dynamic, and multifunctional sub-cellular structures. They are now recognised as a distinct organelle that communicates dynamically with other organelles and are a vital hub of cellular metabolism, with key functions in mediating homeostasis and signalling, and in preventing oxidative stress. Lipid droplets are composed of a core of neutral lipids encased by a monolayer phospholipid membrane and a coat of associated proteins. Dysregulation of lipid droplet life cycle and physiological functions have been associated with human diseases including cardiovascular and metabolic diseases, obesity, steatosis, neurological, oncological and renal disorders. A detailed understanding of mechanisms controlling the formation, interactions and signalling mechanisms of lipid droplets will help clarify the pathogenesis of these diseases.

This Collection welcomes articles that offer insights into the biogenesis of lipid droplets and advances our understanding of lipid signalling in human disease, including work presenting new tools for labelling lipid droplets to visualise their intracellular dynamics.

客座编辑：Dimitrios N. Argyriou, Heloisa N. Bordallo, Gowri Srinivasan & Veera Sundararaghavan

In the last decade we have achieved significant advances in machine learning techniques, which have been widely exploited in a number of applications including biomedical, data and image processing, and materials science. In these applications it’s particularly valuable to be able to process large amounts of data and images in a standardised method, and using machine learning techniques to achieve this can dramatically reduce the drain on resources – e.g. time, computing power, expert man-hours.

In materials science, and in particular when applied to X-ray and neutron scattering techniques, machine learning has been beneficial in discovery, optimisation, and characterisation of new materials. Scattering simulations that are traditionally performed using Monte Carlo techniques (which are time and processing heavy), can be much improved through the use of well-validated machine learning techniques.

This Collection reports the latest advances in machine learning techniques for materials.