Collective Response Research Articles

Spatially Coded Transformations in Gradient‐Dependent Protocell Morphogenesis

AbstractChemical gradients provide spatiotemporal signaling fields in various cellular processes, driving complex dynamic behaviours such as differentiation and spatial organization. Here we employ opposing gradients of two artificial morphogens (sodium dodecyl sulfate (SDS) and sodium phosphotungstate (polyoxometalate; POM)) to systematically investigate morphological differentiation in organized populations of coacervate microdroplet‐based protocells. Using a matrix of 16 sets of counter‐diffusive gradients, we classify the differentiated protocells into five phenotypes and encode their spontaneous organization into different spatially patterned protocell consortia using a 3‐bit binary information system. We show that a predominant SDS gradient produces a diversity of differentiated phenotypes to generate complex spatially coded 2D protocell organizations. In contrast, a prevailing POM gradient decreases morphological differentiation, resulting in population homogenization. Our results improve our understanding of gradient concentration‐dependent collective responses in synthetic microscale agents and provide a step to a new spatially resolved information encoding method with 3‐bit binary outputs.

After the Crisis: Explaining stories of professional identity growth from collective action

Emergent forms of collaboration are central to societies’ response to crises like natural disaster, refugee migration and pandemics. Even though individuals’ participation in such collective action may be short-lived, recent studies propose it can inspire enduring professional role change as people return to their everyday work post-crisis. Yet, previous research does not focus on the divergent stories participants tell about the crisis years afterward and what it meant for them professionally. Through a grounded study of healthcare workers involved in the 2003 Toronto SARS outbreak, we examine varied narratives of professional identity growth following collective action in crisis. Years after SARS, participants told diverse stories about the crisis as an event that suspended, affirmed or even expanded their professional identities. Participants with narratives of identity suspension saw SARS as an event lacking professional relevance. Narratives of identity affirmation and expansion, however, emphasized growth and inspiration for participants’ professional roles post-crisis. We theorize how interactions within collective responses can foster growth narratives, when they enhance meanings central to participants’ professional identities and by affording follow-on interactions that translate these meanings into role change. We contribute new insight on how collective action in crisis can lead to professional role change post-crisis, how fragmented perspectives affect capacity for collective action in intermittent crises, and the role of follow-on interactions in professionals’ narrative identity work.

Peer mentoring program through a digital platform for people with systemic sclerosis: A feasibility study.

People with systemic sclerosis (SSc or scleroderma), a rare chronic autoimmune disease, often face significant physical and emotional challenges. Peer mentoring, where someone with similar lived experiences offers guidance and support, shows promise in enhancing the well-being of recipients and may benefit individuals with systemic sclerosis. This study aims to evaluate the feasibility and potential health effects of peer mentoring through a digital platform for people with systemic sclerosis. We conducted a one-group study to evaluate a 16-week peer mentoring program for people with systemic sclerosis. Mentors and mentees were matched by demographics and systemic sclerosis characteristics. Feasibility was evaluated using Orsmond and Cohn criteria: recruitment, data collection, acceptability, available resources, and participant responses to the program. Perceptions and usability of the peer mentoring program through a digital platform were assessed at week 16 (post-program). The health effects of peer mentoring were measured at baseline, week 8, and week 16. Five trained mentors and 15 mentees were enrolled. Each mentor was paired with 2-4 mentees. We found that peer mentoring through a digital platform was feasible, acceptable, and had good usability for both mentors and mentees. Mentees reported significantly less anxiety at week 16 (p < 0.001). Other improvements in fatigue, pain interference, depressed mood, and resilience were observed, but did not reach statistical significance. The peer mentoring program through a digital platform was well-received. Results provided preliminary support for the feasibility and potential health benefits of peer mentoring to enhance well-being in people with systemic sclerosis. Findings lay the groundwork for future peer mentoring research in systemic sclerosis.

We can do better: Recommendations for mental health crisis care from people with lived experience.

The ED is increasingly the first point of contact for people who have no alternative when they are in a mental health crisis. However, there is mounting evidence of inadequate and negative responses to mental health crises in the ED, which has been identified as a 'human rights flashpoint'. This paper presents the desired crisis support from people who have accessed the ED in a mental health crisis and offers significant opportunities to use lived experience knowledge to reshape crisis care. These key messages arise from a phenomenological analysis of in-depth interviews with 31 users of ED services, a PhD study conducted by a lived experience researcher. The paper concludes with six recommendations that combine collective wished-for responses with tangible examples of how these desired responses can be translated into crisis care practice.

Imaging shapes of atomic nuclei in high-energy nuclear collisions

Atomic nuclei are self-organized, many-body quantum systems bound by strong nuclear forces within femtometre-scale space. These complex systems manifest a variety of shapes1–3, traditionally explored using non-invasive spectroscopic techniques at low energies4,5. However, at these energies, their instantaneous shapes are obscured by long-timescale quantum fluctuations, making direct observation challenging. Here we introduce the collective-flow-assisted nuclear shape-imaging method, which images the nuclear global shape by colliding them at ultrarelativistic speeds and analysing the collective response of outgoing debris. This technique captures a collision-specific snapshot of the spatial matter distribution within the nuclei, which, through the hydrodynamic expansion, imprints patterns on the particle momentum distribution observed in detectors6,7. We benchmark this method in collisions of ground-state uranium-238 nuclei, known for their elongated, axial-symmetric shape. Our findings show a large deformation with a slight deviation from axial symmetry in the nuclear ground state, aligning broadly with previous low-energy experiments. This approach offers a new method for imaging nuclear shapes, enhances our understanding of the initial conditions in high-energy collisions and addresses the important issue of nuclear structure evolution across energy scales.

Mitigating anticipated medicine shortages through inter-facility medicine sharing

This study develops an optimisation model to facilitate inter-facility medicine sharing in response to anticipated medicine shortages. These facilities include hospitals and medical representatives. We adopt the concept of collective response proposed in our study literature. The optimisation model is developed according to the real-world practices of inter-facility medicine sharing. We utilise case studies of particular healthcare networks to demonstrate the efficacy of the developed model. The efficacy encompasses the model’s application to real-world case studies, as well as its validity and reliability within a specific system. The results show that the developed model is able to determine which facilities should share the requested amount of medicines; and to reduce total lead times by at least one day compared to the ones obtained in the current practice. The model can be used as a decision-support tool for healthcare practitioners when responding to shortages. The study presents the managerial implications of medicine sharing at the network level and supports the development of collaboration amongst facilities in response to medicine shortages.

Parental concerns about the risks associated with harmful industries for their children

Abstract Background Harmful industries including tobacco, vaping, alcohol, and gambling are causing significant harms to communities, including children and young people. These industries try to resist reform by deflecting blame and shifting responsibility, often by suggesting that parents need to educate and protect their children. This study aimed to explore parents’ current concerns and risks relating to these industries and their children, and their attitudes about responses to prevent harm. Methods Australian parents (n = 455) who had at least one child aged between 11-17 years were invited through a panel company to complete an online qualitative survey. Participants were asked about their concerns and risks relating to each product, if and what they discuss about these products with their children, and who was responsible for protecting children from these industries. Thematic analysis was used to analyse the data. Results Parents were concerned about the short- and long-term consequences of their children engaging in these products. Many parents tried to talk to their children about the risks, however also believed that their child was influenced by their peers, and messages they see on social media. Although parents recognised their own role in protecting their children from harmful industries, they thought that a collective approach was needed, which included greater regulations and more effective education. Conclusions Parents are trying their best to protect their children from the harms associated with tobacco, vaping, alcohol, and gambling. However, they feel as though they are unable to counter the range of ways that their children are exposed to and influenced by these industries. Governments need to listen to parents and implement comprehensive regulations restricting marketing practices and increase evidence-based education that focuses on the tactics and harmful practices of these industries. Key messages • Harmful industries try to shift blame and put responsibility for protecting children onto parents. However, parents feel they are unable to counter the positive messages that their children see. • Parents are concerned about the range of risks these products could have for their children and want to see a collective response to address this issue, including government policy intervention.

Cellulose-based Conductive Materials for Bioelectronics.

The growing demand for electronic devices has led to excessive stress on Earth's resources, necessitating effective waste management and the search for renewable materials with minimal environmental impact. Bioelectronics, designed to interface with the human body, have traditionally been made from inorganic materials, such as metals, which, while having suitable electrical conductivity, differ significantly in chemical and mechanical properties from biological tissues. This can cause issues such as unreliable signal collection and inflammatory responses. Recently, natural biopolymers such as cellulose, chitosan, and silk have been explored for flexible devices, given their chemical uniqueness, shape flexibility, ease of processing, mechanical strength, and biodegradability. Cellulose is the most abundant natural biopolymer, has been widely used across industries, and can be transformed into electronically conductive carbon materials. This review focuses on the advancements in cellulose-based conductive materials for bioelectronics, detailing their chemical properties, methods to enhance conductivity, and forms used in bioelectronic applications. It highlights the compatibility of cellulose with biological tissues, emphasizing its potential in developing wearable sensors, supercapacitors, and other healthcare-related devices. The review also addresses current challenges in this field and suggests future research directions to overcome these obstacles and fully realize the potential of cellulose-based bioelectronics.

Solutions Journalism Stories Boosts Pro-Environmental Behavioral Intentions Through Positive Affect and Collective Efficacy Beliefs

Climate change news narratives have been criticized for perpetuating fear and sensationalism without due attention to and critical emphasis on constructive dialogue and solutions. This study investigates the potential of solutions journalism, a novel journalistic approach that emphasizes credible narratives about the threats and societal responses to those threats, to facilitate collective social responses to climate change. Using a sample N = 482, the study manipulated news stories as solutions-oriented or conventional problem-oriented. Exposure to solutions stories only increased intentions for pro-environmental action when fully mediated by positive affect and higher collective efficacy. These results offer insights for journalism and climate communication.

Imaging Quantum Interference in a Monolayer Kitaev Quantum Spin Liquid Candidate

Single atomic defects are prominent windows to look into host quantum states because collective responses from the host states emerge as localized states around the defects. Friedel oscillations and Kondo clouds in Fermi liquids are quintessential examples. However, the situation is quite different for quantum spin liquid (QSL), an exotic state of matter with fractionalized quasiparticles and topological order arising from a profound impact of quantum entanglement. Elucidating the underlying local electronic property has been challenging due to the charge neutrality of fractionalized quasiparticles and the insulating nature of QSLs. Here, using spectroscopic-imaging scanning tunneling microscopy, we report atomically resolved images of monolayer α−RuCl3, the most promising Kitaev QSL candidate, on metallic substrates. We find quantum interference in the insulator manifesting as incommensurate and decaying spatial oscillations of the local density of states around defects with a characteristic bias dependence. The oscillation differs from any known spatial structures in its nature and does not exist in other Mott insulators, implying it is an exotic oscillation involved with excitations unique to α−RuCl3. Numerical simulations suggest that the observed oscillation can be reproduced by assuming that itinerant Majorana fermions of Kitaev QSL are scattered across the Majorana Fermi surface. The oscillation provides a new approach to exploring Kitaev QSLs through the local response against defects like Friedel oscillations in metals. Published by the American Physical Society 2024

Power, data and social accountability: defining a community-led monitoring model for strengthened health service delivery.

Despite international commitment to achieving the end of HIV as a public health threat, progress is off-track and existing gaps have been exacerbated by COVID-19's collision with existing pandemics. Born out of models of political accountability and historical healthcare advocacy led by people living with HIV, community-led monitoring (CLM) of health service delivery holds potential as a social accountability model to increase the accessibility and quality of health systems. However, the effectiveness of the CLM model in strengthening accountability and improving service delivery relies on its alignment with evidence-based principles for social accountability mechanisms. We propose a set of unifying principles for CLM to support the impact on the quality and availability of health services. Building on the social accountability literature, core CLM implementation principles are defined. CLM programmes include a community-led and independent data collection effort, in which the data tools and methodology are designed by service users and communities most vulnerable to, and most impacted by, service quality. Data are collected routinely, with an emphasis on prioritizing and protecting respondents, and are then be used to conduct routine and community-led advocacy, with the aim of increasing duty-bearer accountability to service users. CLM efforts should represent a broad and collective community response, led independently by impacted communities, incorporating both data collection and advocacy, and should be understood as a long-term approach to building meaningful engagement in systems-wide improvements rather than discrete interventions. The CLM model is an important social accountability mechanism for improving the responsiveness of critical health services and systems to communities. By establishing a collective understanding of CLM principles, this model paves the way for improved proliferation of CLM with fidelity of implementation approaches to core principles, rigorous examinations of CLM implementation approaches, impact assessments and evaluations of CLM's influence on service quality improvement.

Quenched disorder-induced chaotic resonance: Optimal stimulus response near the edge of chaos

We study the collective stimulus response in two classical nonlinear dynamical models, the globally coupled bistable oscillators and the excitable FitzHugh-Nagumo neurons, where the coupling strength among the units are randomly distributed with fixed mean and varying variance. We find theoretically and numerically that in both models the ensemble response to a weak periodic stimulus exhibits a bell-shaped amplification manifesting a different type of resonance mechanism, namely, coupling-disorder-induced resonance, as the quenched disorder of coupling increases. Of particular interest is that the optimal collective response emerges near the order-chaos transition point, i.e., at the edge of chaos. As a promising application, we discuss briefly the potential reasonability for exploiting such a type of chaotic resonance to explain the optimal mutual information in the realistic inferior olive. Our results provide explicitly a clue that the disorderly coupled elements may utilize the coupling-disorder-induced chaos to optimize their stimulus response. Published by the American Physical Society 2024

Postdigital Videogames Literacies: Thinking With, Through, and Beyond James Gee’s Learning Principles

AbstractThis article is a collective response to the 2003 iteration of James Paul Gee’s What Video Games Have to Teach Us About Learning and Literacy. Gee’s book, a foundational text for those working in game studies, literacy studies, and education, identified 36 principles of ‘good learning’ which he argued were built into the design of good games, and which have since been used to unsettle the landscape of formal education. This article brings together 21 short theoretical and empirical contributions which centre postdigital perspectives to re-engage with, and extend, the arguments first raised by Gee regarding the relationship between videogames and learning. Organised into five groups, these contributions suggest that concepts and attitudes associated with the postdigital offer new thinking tools for challenging grand narrative claims about the educative potential of technologies while also providing rich analytical frames for revisiting Gee’s claims in terms of postdigital videogame literacies.

Body orientation change of neighbors leads to scale-free correlation in collective motion

Collective motion, such as milling, flocking, and collective turning, is a common and captivating phenomenon in nature, which arises in a group of many self-propelled individuals using local interaction mechanisms. Recently, vision-based mechanisms, which establish the relationship between visual inputs and motion decisions, have been applied to model and better understand the emergence of collective motion. However, previous studies often characterize the visual input as a transient Boolean-like sensory stream, which makes it challenging to capture the salient movements of neighbors. This further hinders the onset of the collective response in vision-based mechanisms and increases demands on visual sensing devices in robotic swarms. An explicit and context-related visual cue serving as the sensory input for decision-making in vision-based mechanisms is still lacking. Here, we hypothesize that body orientation change (BOC) is a significant visual cue characterizing the motion salience of neighbors, facilitating the emergence of the collective response. To test our hypothesis, we reveal the significant role of BOC during collective U-turn behaviors in fish schools by reconstructing scenes from the view of individual fish. We find that an individual with the larger BOC often takes on the leading role during U-turns. To further explore this empirical finding, we build a pairwise interaction mechanism on the basis of the BOC. Then, we conduct experiments of collective spin and collective turn with a real-time physics simulator to investigate the dynamics of information transfer in BOC-based interaction and further validate its effectiveness on 50 real miniature swarm robots. The experimental results show that BOC-based interaction not only facilitates the directional information transfer within the group but also leads to scale-free correlation within the swarm. Our study highlights the practicability of interaction governed by the neighbor’s body orientation change in swarm robotics and the effect of scale-free correlation in enhancing collective response.

Ligand presentation controls collective MSC response to matrix stress relaxation in hybrid PEG-HA hydrogels

Cell interactions with the extracellular matrix (ECM) influence intracellular signaling pathways related to proliferation, differentiation, and secretion, amongst other functions. Herein, bone-marrow derived mesenchymal stromal cells (MSCs) are encapsulated in a hydrazone crosslinked hyaluronic acid (HA) hydrogel, and the extent of stress relaxation is controlled by systemic introduction of irreversible triazole crosslinks. MSCs form elongated multicellular structures within hydrogels containing RGD peptide and formulated with elastic composition slightly higher than the hydrogel percolation threshold (12 % triazole, 88 % hydrazone). A scaling analysis is presented (<RgStructure2>12 ∼Nα) to quantify cell-material interactions within these structures with the scaling exponent (α) describing either elongated (0.66) or globular (0.33) structures. Cellular interactions with the material were controlled through peptides to present integrin binding ECM cues (RGD) or cadherin binding cell-cell cues (HAVDI) and MSCs were observed to form highly elongated structures in RGD containing hydrogels (α=0.56±0.05), whereases collapsed structures were observed within HAVDI containing hydrogels (α=0.39±0.04). Finally, cytokine secretion was investigated, and a global increase in secreted cytokines was observed for collapsed structures compared to elongated. Taken together, this study presents a novel method to characterize cellular interactions within a stress relaxing hydrogel where altered cluster morphology imparts changes to cluster secretory profiles.

Adaptive collective responses to local stimuli in anonymous dynamic networks

We develop a framework for self-induced phase changes in programmable matter in which a collection of agents with limited computational and communication capabilities can collectively perform appropriate global tasks in response to local stimuli that dynamically appear and disappear. Agents are represented by vertices in a dynamic graph G whose edge set changes over time, and stimuli are placed adversarially on the vertices of G where each agent is only capable of recognizing a co-located stimulus. Agents communicate via token passing along edges to alert other agents to transition to an Aware state when stimuli are present and an Unaware state when the stimuli disappear. We present an Adaptive Stimuli Algorithm that can handle arbitrary adversarial stimulus dynamics, while an adversary (or the agents themselves) reconfigures the connections (edges) of G over time in a controlled way. This algorithm can be used to solve the foraging problem on reconfigurable graphs where, in addition to food sources (stimuli) being discovered, removed, or shifted arbitrarily, we would like the agents to consistently self-organize, using only local interactions, such that if the food remains in a position long enough, the agents transition to a gather phase in which many collectively form a single large component with small perimeter around the food. Alternatively, if no food source has existed recently, the agents should undergo a self-induced collective phase change and switch to a search phase in which they distribute themselves randomly throughout the graph to search for food. Unlike previous approaches to foraging, this process is indefinitely repeatable, withstanding competing broadcast waves of state transition that may interfere with each other. Like a physical phase change, such as the ferromagnetic models underlying the gather and search algorithms used for foraging, microscopic changes in the environment trigger these macroscopic, system-wide transitions as agents share information and respond locally to get the desired collective response.

Pathways for Strengthening Lived Experience Leadership for Transformative Systems Change: Reflections on Research and Collective Change Strategies.

The Activating Lived Experience Leadership (ALEL) project was a South Australian participatory action research project that aimed to improve the ways lived experience is recognised, valued and integrated across mental health and social sector systems. ALEL was completed during 2019-2021, where it engaged 182 participants in generating community action and research knowledge. Our paper discusses the project's processes of building a collective partnership among lived experience leaders and other leaders from within the sector, so that the actions and strategies identified through research could be implemented by systems-level impact. We describe the collaborative process and key learnings that resulted in eight key action areas for transformative systems change in South Australia. The project invited a diverse range of self-identified lived experience and other leaders to be involved in a PAR process featuring formal qualitative research (focus groups, surveys and interviews) as well as community development activities (leaders' summit meetings, consultations, training and community of practice meetings). These processes were used to help us describe the purpose, achievements and potential of lived experience leadership. Project priorities and systems-level analysis was also undertaken with lived experience sector leaders and project advisors across two leaders' summit meetings, integrating research outcomes with sector planning to define high-level actions and a vision for transformational change. Participatory action research as informed by systems change and collective impact strategies assisted the project to generate detailed findings about the experiences and complexities of lived experience leadership, and collective responses of how systems could better support, be accountable to and leverage lived experience perspectives, experience and peer-work approaches. Systems change to define, value and embed lived experience leadership benefits from collective efforts in both formal research and sector development activities. These can be used to generate foundational understandings and guidance for working together in genuine ways for transforming mental health and social sector systems, experience and outcomes. Members of lived experience communities codesigned the project, and contributed to project governance and the development of all findings and project reports.

Mapping the anisotropic Galactic stellar halo with blue horizontal branch stars

We used Legacy Survey photometric data to probe the stellar halo in multiple directions of the sky using a probabilistic methodology to identify blue horizontal branch (BHB) stars. The measured average radial density profile follows a double power law in the range 5 &lt; rgc/kpc &lt; 120, with a density break at rgc ≈ 20 kpc. This description, however, falls short, depending on the chosen line of sight, with some regions showing no signature of a break in the profile and a wide range of density slopes, such as an outer slope −5.5 ≲ αout ≲ −4, pointing towards a highly anisotropic stellar halo. This explains, in part, the wide range of density profiles reported in the literature owing to different tracers and sky coverage. Using our detailed 3D stellar halo density map, we quantified the shape of the Pisces overdensity associated with the transient wake response of the Galaxy’s (dark) halo to the Large Magellanic Cloud (LMC). Measured in the LMC’s coordinate system, Pisces stands above the background, is 60° long and 25° wide, and is aligned with the LMC’s orbit. This would correspond to a wake width of ∼32 kpc at ∼70 kpc. We do not find a statistically significant signature of the collective response in density as previously reported in the literature measured with K giant stars, despite our larger numbers. We release the catalogue constructed in this study with 95 446 possible BHB stars and their BHB probability.

Aligned colloidal clusters in an alternating rotating magnetic field elucidated by magnetic relaxation

Precise control at the colloidal scale is one of the most promising bottom-up approaches to fabricating new materials and devices with tunable and precisely engineered properties. Magnetically driven colloidal assembly offers great versatility because of the ability to externally tune particle-particle interactions and to construct a host of particle arrangements. However, despite previous efforts to probe the parameter space, global orientational control in conjunction with two-dimensional microstructural control has remained out of reach. Furthermore, the magnetic relaxation time of superparamagnetic beads has been largely overlooked despite being a key feature of the magnetic response. Here, we take advantage of the magnetic relaxation time of superparamagnetic beads in an alternating rotating magnetic field and show how harnessing this feature facilitates the formation of oriented clusters. The orientation of these clusters can be controlled by field parameters. Using experiments, simulations, and theory, we probe a two-particle system (dimer) under this alternating rotating magnetic field and use its dynamics to provide insights into the collective response that forms clusters. We find that the type of field has significant implications for the dipolar interactions between the colloids because of the nonnegligible magnetic relaxation. Moreover, we find that the competing time scales of the magnetic relaxation and the alternating field generate an anisotropic interaction potential that drives cluster alignment. By exploiting the magnetic relaxation time of magnetic systems, we can tailor new types of interparticle interactions, thereby expanding the capabilities of colloidal assembly in engineering unique materials and devices.

A social identity approach to crisis leadership.

This paper discusses the importance of a social identity approach to crisis leadership in the context of global crises such as the Covid-19 pandemic and emphasizes the interconnected relationships between leaders and followers. I highlight the role of leaders in fostering unity and shaping citizens' responses especially during crises. I discuss the nature of crises and the significant role of political leaders in guiding societal responses and suggest that crisis leadership extends beyond individual competencies and behaviours and involves a shift from individual to collective responses. With this, I introduce the social identity approach to leadership that views leadership as a social influence process and emphasizes the importance of creating a sense of 'we-ness' among followers. Following from that, crisis leadership involves leaders constructing defining features of collective identity and efficacy to address crises appropriately. However, the value of this approach depends on the careful definition of shared identity boundaries, consideration of diverse experiences within society, the evolving nature of crisis leadership over time and potential consequences of crisis leadership. The sustainability of identity leadership, the dynamics of intergroup and subgroup processes, and the complexities of various crises are identified as areas requiring further research.