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Background: Population physical activity promotion (PPAP) is one of the most effective noncommunicable disease prevention strategies, yet coordination is lacking around the world. Whole-of-system approaches and complex systems methods are called for to advance PPAP. This paper reports on a project which (1) used an Attributes Framework with system mapping (group model building and causal loop diagramming of feedback loops) and (2) identified potential leverage points to address the challenge of effective coordination of multisectoral PPAP in British Columbia. Methods: Key findings from stakeholder interviews and workshops described the current system for PPAP in terms of attributes and dimensions in the framework. These were translated into variables and used in group model building. Participants prioritized the importance of variables to address the coordination challenge and then created causal loop diagrams in 3 small groups. One collective causal loop diagram was created, and top priority variables and associated feedback loops were highlighted to explore potential leverage points. Results: Leverage points included the relationships and feedback loops among priority variables: political leadership, visible policy support and governance, connectivity for knowledge translation, collaborative multisector grants, multisector collaboration, and integrating co-benefits. Leveraging and altering "vicious" cyclical patterns to increase coordinated multisector PPAP are key. Conclusions: The Attributes Framework, group model building and causal loop diagrams, and emergent feedback loops were useful to explore potential leverage points to address the challenge of multisectoral coordination of PPAP. Future research could apply the same methods in other jurisdictions and compare and contrast resultant frameworks, variables, feedback loops, and leverage points. [ABSTRACT FROM AUTHOR]

Adiabatic quantum-flux-parametron (AQFP) logic stands as an energy-efficient superconductor logic family relying on ac excitations. Though a four-phase clocking scheme has been commonly applied to excite and clock AQFP circuits, the cost of multiple sources and long between-stage latency (a quarter clock cycle) remain unsatisfactory. These drawbacks are more severe for sequential logics, where feedback loops require both down-flow and reverse-flow AQFP gates, necessitating extra buffers and imposing a limit on operating depth at the same time. To overcome these restrictions, in this paper, we introduce a novel mixed clocking scheme for low-latency AQFP logic circuits allowing feedback loops. In particular, the down-flow part of the AQFP circuit is excited by an ac current through delay-lines, which can reduce the latency from input to output stages. Meanwhile, the reverse-flow part is clocked by 2 other ac currents with 90° phase difference to reduce the buffering gates. The proposed clocking scheme is first applied to a fundamental logic circuit, confirming correct functionality and low-latency operations for diverse feedback conditions. For experimental validation, we design and fabricate a 3-bit AQFP counter using the proposed clocking scheme based on an on-chip clock splitter. The circuit is examined at 4 GHz under 4.2 K temperature, where we obtain desired operations and wide excitation margins. [ABSTRACT FROM AUTHOR]

Background: Echolocating bats face an intense arms race with insect prey that can detect bat calls and initiate evasive maneuvers. Their high closing speeds and short biosonar ranges leave bats with only a few 100 ms between detection and capture, suggesting a reactive sensory-motor operation that might preclude tracking of escaping prey. Here we test this hypothesis using greater mouse-eared bats (Myotis myotis) as a model species. With high-resolution biologging tags, we recorded bats hunting aerial prey in the wild and we also collected data from trained conspecifics in the laboratory facing simulated prey escapes of various speeds and distances. Results: We show that wild bats employed flexible buzz durations during hunting. In the laboratory, such dynamic vocal responses were driven by moving targets, where faster and longer movements led to longer buzzes. During these buzzes, the bats engaged in acute vocal-motor tracking via increased call intervals within 240 ms of evasive prey maneuvers. Conclusions: Echolocating bats can track evasive prey via a fast vocal-motor feedback loop allowing them to expand their acoustic depth of field. This echo-guided sensory adjustment contributes to the hunting superiority of bats as the most formidable insectivorous predator of the night skies. [ABSTRACT FROM AUTHOR]

Online news can be shared and promoted via social media, mobile push messages, newsletters, "most read" boxes, or the like. This can result in feedback loops, in which views attract even more views. Using full click logs for five regional newspapers in the Netherlands, spanning $N_{{\rm views}} =$ N views = 12,108,263 views of $N_{{\rm articles}}=$ N articles = 17,982 articles for each minute over the course of 13 weeks, we shed light on potential feedback loops. While article placement and promotion decisions indeed increase their views, we find these effects to be short-lived, contradicting the feedback-loop hypothesis. Exceptions in line with the feedback-loop hypothesis mostly concern social media: If an article is spread via social media, it is not only clicked more, but also clicked on for a longer period of time. [ABSTRACT FROM AUTHOR]

In the realms of bioengineering and biopharmaceuticals, there exists a critical demand for advanced genetic tools that can interact with specific cell signaling pathways to accurately identify and target various cell types. This research introduces the innovative CRISPR‐ADAReader system, which enables precise manipulation of cell activity through sensing target RNA. Featuring both positive and negative feedback loops, the system allows for tailored regulation across different cell types in response to various internal signals, showcasing exceptional programmability, specificity, and sensitivity. By choosing distinct RNAs as activation signals, the CRISPR‐ADAReader efficiently monitors and alters targeted cell behaviors. In a case study focusing on retinoblastoma treatment, the system distinctively initiates positive feedback and self‐silencing actions by detecting MCYN and Rb transcripts, thus safeguarding normal retinal pigment epithelial cells while promoting apoptosis in cancer cells. Moreover, the CRISPR‐ADAReader demonstrates significant anti‐tumor effectiveness in live models, markedly reducing retinoblastoma cell proliferation through the activation of several cancer‐suppression pathways, outperforming the capabilities of the ADAR‐sensor. Notably, the system also shows an excellent in vivo safety profile. In conclusion, the CRISPR‐ADAReader system represents a groundbreaking method for the detection and editing of RNA, offering a potent instrument for the customized and precise governance of cell behavior. [ABSTRACT FROM AUTHOR]

Sadia Qazi,1 Muhammad Atif Mazhar,1 Abdul Ahad Shaikh,2 Abdul Jabar Rasool,2 Kanza Atif,3 Akef Obeidat1 1Anatomy Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; 2Physiology Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; 3College of Medicine, Alfaisal University, Riyadh, Saudi ArabiaCorrespondence: Sadia Qazi, Anatomy Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia, Email sqazi@alfaisal.eduAbstract: This study explores the implementation of Team-Based Learning (TBL) at Alfaisal University’s College of Medicine through the lens of Complex Adaptive Systems (CAS) theory. The research question investigates how the application of CAS principles can enhance the implementation and effectiveness of TBL in medical education. The study employed a convergent parallel mixed methods longitudinal design, integrating quantitative performance metrics and qualitative themes. Quantitative analysis revealed modest improvements in individual and team-based learning scores, with a promising trend of students moving from the lower to the higher quartiles over time. Qualitative insights aligned with CAS principles, highlighting the adaptive implementation, emergent outcomes, self-organization, positive feedback loops, and depth of learning facilitated by TBL. The findings demonstrate the value of a CAS-informed approach in navigating the complexities of educational change and fostering a more resilient and adaptive educational model. The study contributes to the understanding of how CAS theory can guide the successful implementation of innovative pedagogies like TBL in medical education.Keywords: educational change, adaptive implementation, emergent behaviors, feedback loops, self-organization

We used systems thinking (ST) to identify the critical components of beef cattle production through the lens of ecosystem services (ES), offering a holistic approach to address its adverse externalities. We identified eight critical feedback loops in beef production systems: (i) grazing and soil health, (ii) manure management and soil fertility, (iii) feed efficiency and meat production, (iv) water use and soil moisture, (v) cultural services and community engagement, (vi) energy use, (vii) carbon sequestration and climate regulation, and (viii) environmental impact. Our analysis reveals how these interconnected loops influence each other, demonstrating the complex nature of beef production systems. The dynamic hypothesis identified through the loops indicated that improved grazing and manure management practices enhance soil health, leading to better vegetation growth and cattle nutrition, which, in turn, have a positive impact on economic returns to producers and society, all of which encourage the continuation of interlinked beef and ecosystem stewardship practices. The management of beef production ES using ST might help cattle systems across the globe to contribute to 9 of the 17 different United Nations' Sustainable Development Goals, including the "zero hunger" and "climate action" goals. We discussed the evaluation framework for agrifood systems developed by the economics of ecosystems and biodiversity to illustrate how ST in beef cattle systems could be harnessed to simultaneously achieve the intended environmental, economic, social, and health impacts of beef cattle systems. Our analysis of the literature for modeling and empirical case studies indicates that ST can reveal hidden feedback loops and interactions overlooked by traditional practices, leading to more sustainable beef cattle production outcomes. ST offers a robust framework for enhancing ES in beef cattle production by recognizing the interconnectedness of ecological and agricultural systems, enabling policymakers and managers to develop more effective and sustainable strategies that ensure the long-term health and resilience of humans and ES. [ABSTRACT FROM AUTHOR]

Purpose: The service environment is becoming increasingly turbulent, leading to calls for a systemic understanding of it as a set of dynamic service ecosystems. This paper advances this understanding by developing a typology of service ecosystem dynamics that explains the varying interplay between change and stability within the service environment through distinct behavioral patterns exhibited by service ecosystems over time. Design/methodology/approach: This study builds upon a systematic literature review of service ecosystems literature and uses system dynamics as a method theory to abductively analyze extant literature and develop a typology of service ecosystem dynamics. Findings: The paper identifies three types of service ecosystem dynamics—behavioral patterns of service ecosystems—and explains how they unfold through self-adjustment processes and changes within different systemic leverage points. The typology of service ecosystem dynamics consists of (1) reproduction (i.e. stable behavioral pattern), (2) reconfiguration (i.e. unstable behavioral pattern) and (3) transition (i.e. disrupting, shifting behavioral pattern). Practical implications: The typology enables practitioners to gain a deeper understanding of their service environment by discerning the behavioral patterns exhibited by the constituent service ecosystems. This, in turn, supports them in devising more effective strategies for navigating through it. Originality/value: The paper provides a precise definition of service ecosystem dynamics and shows how the identified three types of dynamics can be used as a lens to empirically examine change and stability in the service environment. It also offers a set of research directions for tackling service research challenges. [ABSTRACT FROM AUTHOR]

This study explores how prompting techniques, especially those integrated with rhetorical analysis results, may improve the effectiveness of artificial intelligence (AI)-generated business communication messages. I conducted an experiment to assess the effectiveness of these prompting techniques in the context of crafting a negative message generated with ChatGPT 3.5 (n = 85). A multiple regression was calculated to explore prompting techniques' impact on the negative message grades and how each technique influences the message grade. The results (F (4, 80) = 31.84, p <.001), with an adjusted R 2 =.595, indicate a positive relationship between prompting techniques and the effectiveness of AI-generated messages. This study also identified challenges related to students' AI literacy. I conclude the study by recommending practical measures on how to incorporate AI into business and professional writing classrooms. [ABSTRACT FROM AUTHOR]

Introduction: Successfully addressing burnout in health and human services settings is a topic of growing interest and impact in the field. Implementation science gives us strategies to build organizational readiness to create a culture of workforce wellness. This study used strategies for identifying and preparing wellness champions and building feedback loops to begin to build a culture of workforce wellness. The primary aim of this study was to assess perspectives on establishing feedback loops across all levels of the organizational hierarchy. Method: This study took place in a community mental health organization that provides services across four different states. Champions in each state were identified and connected with leaders and teams. The champions supported the engagement of leaders and the design of feedback loops. Champions remained engaged throughout the process of assessing needs and sharing workforce wellness data. A qualitative content analysis was conducted on data collected during meetings that were intended to create organizational practice to policy feedback loops. Results: Staff across all levels of the organizational hierarchy shared feedback and participated in facilitated reflective discussion. Participants offered several suggestions for addressing burnout. Across all participants, workplace connections were perceived as a protective factor against burnout. Discussion: This implementation science strategy to help combat burnout is an effective and feasible way to include frontline staff voices and build connection and trust between leaders and staff in health and human services settings. Public Significance Statement: Resource limitations in large community mental health agencies contribute to high demand, low support, and a lower sense of control over work for mental health clinicians, fueling burnout alongside staff shortages (leading to even higher demand and higher propensity for burnout among remaining staff). For agencies to continue providing low-cost mental health services to the public, finding solutions to burnout is paramount. [ABSTRACT FROM AUTHOR]

This paper presents causal loop diagrams (CLDs) as tools for studying complex public health problems like health inequality. These problems often involve feedback loops—a characteristic of complex systems not fully integrated into mainstream epidemiology. CLDs are conceptual models that visualize connections between system variables. They are commonly developed through literature reviews or participatory methods with stakeholder groups. These diagrams often uncover feedback loops among variables across scales (e.g. biological, psychological and social), facilitating cross-disciplinary insights. We illustrate their use through a case example involving the feedback loop between sleep problems and depressive symptoms. We outline a typical step-by-step process for developing CLDs in epidemiology. These steps are defining a specific problem, identifying the key system variables involved, mapping these variables and analysing the CLD to find new insights and possible intervention targets. Throughout this process, we suggest triangulating between diverse sources of evidence, including domain knowledge, scientific literature and empirical data. CLDs can also be evaluated to guide policy changes and future research by revealing knowledge gaps. Finally, CLDs may be iteratively refined as new evidence emerges. We advocate for more widespread use of complex systems tools, like CLDs, in epidemiology to better understand and address complex public health problems. [ABSTRACT FROM AUTHOR]

It is well established that microRNA-21 (miR-21) targets phosphatase and tensin homolog (PTEN), facilitating epithelial-to-mesenchymal transition (EMT) and drug resistance in cancer. Recent evidence indicates that PTEN activates its pseudogene-derived long non-coding RNA, PTENP1, which in turn inhibits miR-21. However, the dynamics of PTEN, miR-21, and PTENP1 in the DNA damage response (DDR) remain unclear. Thus, we propose a dynamic Boolean network model by integrating the published literature from various cancers. Our model shows good agreement with the experimental findings from breast cancer, hepatocellular carcinoma (HCC), and oral squamous cell carcinoma (OSCC), elucidating how DDR activation transitions from the intra-S phase to the G2 checkpoint, leading to a cascade of cellular responses such as cell cycle arrest, senescence, autophagy, apoptosis, drug resistance, and EMT. Model validation underscores the roles of PTENP1, miR-21, and PTEN in modulating EMT and drug resistance. Furthermore, our analysis reveals nine novel feedback loops, eight positive and one negative, mediated by PTEN and implicated in DDR cell fate determination, including pathways related to drug resistance and EMT. Our work presents a comprehensive framework for investigating cellular responses following DDR, underscoring the therapeutic potential of targeting PTEN, miR-21, and PTENP1 in cancer treatment. [ABSTRACT FROM AUTHOR]

This study examined how socio-economic driving forces influence households' choice of water, ranging from a piped water supply provided by Veolia to untreated sources contaminated with high levels of arsenic and pathogens. Households fall into three cluster groups based on variations in socio-economic status and physical, infrastructure, and institutional elements. About 64% of the variations are related to differences in awareness, willingness, and ability to pay for safe water sources. Families with higher monthly income showed interest in accepting Veolia's house connection options, resulting in the shutdown of six community tap points and ultimately affecting the low-income households' accessibility to Veolia water. A causal loop diagram showed five feedback loops influencing the choice of drinking contaminated water. Bayesian Network models were sensitive to the ability, accessibility, and willingness to pay for safe water, deep tube well distributions, installation and maintenance costs, ownership of tube wells, household income level, and the level of awareness. Results suggest that the risks of drinking contaminated water can be minimized by raising awareness; accepting arsenic removal techniques; sharing expenses; training for deep tube well installations and maintenance; increasing Veolia pipeline coverage; and redesigning the tap point distributions. These results help identify the relative importance of such interventions to improve water security in safe water-poor areas. [ABSTRACT FROM AUTHOR]

This article is dedicated to authoritarian responsiveness and feedback mechanisms that autocratic regimes exploit to keep citizens loyal, using the example of Russia. The study aims to describe how the Russian government uses online feedback mechanisms in political communication. I focus on the activities of the Regional Governance Centers, i.e. project management offices designed to establish communication between authorities and citizens. This communication system represents a proactive approach where authorities initiate engagement with citizens rather than passively receiving complaints. I analyze the content of VK communities operated by these project management offices, where they report how the authorities solve citizens’ problems initially indicated by citizens on social media. The explorative text analysis shows that Regional Governance Centers mostly report on how authorities process citizens’ complaints and solve problems indicated by them. They also promote live Q&A sessions with regional and local authorities and advertise financial support that different groups of citizens can get from the government. Posts containing information about how to communicate directly with officials, warnings about bad weather conditions, information about financial assistance from the government, and self-promotion of these Regional Governance Centers are the most popular in getting user reactions. [ABSTRACT FROM AUTHOR]

Structural equation models (SEMs) involving feedback loops may offer advantages over standard instrumental variables estimators in terms of modelling causal effects in the presence of bidirectional relationships. In the following note, we show that in the case of a single "exposure" and "outcome" variable, modelling relationships using a SEM with a simple bidirectional linear feedback loop offers no advantage over traditional instrumental variables estimators in terms of consistency (i.e. both approaches yield consistent estimates of the causal effect, provided that causal estimates are obtained in both directions). In the case of finite samples, traditional IV estimators and SEM exhibited similar power across many of the conditions we examined, although which method performed best depended on the residual correlation between variables and the strength of the instruments. In particular, the power of SEM was insensitive to the residual correlation between variables, whereas the power of the Wald estimator/2SLS improved (deteriorated) relative to SEM as the magnitude of the residual correlation increased (decreased) assuming a positive causal effect of the exposure on the outcome. The power of SEM improved relative to the Wald estimator/2SLS as the instruments explained more residual variance in the "outcome" variable. [ABSTRACT FROM AUTHOR]

Green transition is in the core of the European policy agenda to achieve the ambitious goal of climate neutrality following the launch of the European Green Deal. The cornerstone of the new growth strategy of Europe is resource efficiency which focuses on shifting to a more sustainable production paradigm by conserving scarce resources and by prioritizing enhanced environmental performance. Scattered efforts to investigate the drivers of resource efficiency measures have shed light on the key drivers, however, those consider resource efficiency measures in isolation neglecting for feedback loops influencing green transition. Therefore, we develop a conceptual framework to study green transition as a system of resource efficiency measures affected by feedback loops, path dependence, green technologies, and green policy tools. We mobilize the analysis by devising a unique balanced panel covering the EU-28 from 2010 through 2019, including policy efforts paving the way for green transition. Econometric results based on a system of fractional probit models, indicate that resource efficiency measures are intertwined via feedback loops, especially in the case of environmental efficiency. Green technologies affect green transition, however, rebound effects emerge in the case of energy efficiency. Past performance affects current levels pushing towards divergence. Evidence suggests that green taxation fosters energy efficiency whereas hinders environmental efficiency. The asymmetric operation of feedback loops and green taxation on energy and environmental efficiency highlights that horizontal policies hinder rather than foster green transition. This study contributes to SDGs 7, 12, 13 and 16. [ABSTRACT FROM AUTHOR]

The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than what was possible using the prior generation. Facilities requiring human intervention between laser repetitions need to adapt in order to keep pace with the new laser technology. A distributed networked control system can enable laboratory-wide automation and feedback control loops. These higher-repetition-rate experiments will create enormous quantities of data. A consistent approach to managing data can increase data accessibility, reduce repetitive data-software development and mitigate poorly organized metadata. An opportunity arises to share knowledge of improvements to control and data infrastructure currently being undertaken. We compare platforms and approaches to state-of-the-art control systems and data management at high-power laser facilities, and we illustrate these topics with case studies from our community.

Purpose: is to propose a model for managing a digital brand image brand based on consecutive feedback loops from the image targetaudience. Methods: collection, processing, and analysis of secondary data were carried out on the basis of desk research, synthesis methods, contentanalysis, and systemic, structural and functional data evaluation using an interdisciplinary approach. Results: systemized methodological approaches in Russian and foreign practice by the authors served as the basis for development of a digital brand image management model based on consecutive feedback loops from the image target audience. Within the framework of the proposed model, it is supposed to create systems in a digital environment for providing feedback to the image target audience and monitoring of formed relationships with consumers. The authors' methodological recommendations for implementation of the proposed model are manifested in detailed approaches to organizing the relationship of the image object with the image target audience through different types of feedback loops, methods of monitoring responses and reactions of target consumers, methods of assessing image in a brand's digital environment to close feedback loops. Conclusions and Relevance: loops of feedback from the brand’s image target audience are a causative mechanism of dynamic nature in which the output data of subjective and objective consumer assessment of brand reputation is used as input data for the management and enhancement of the digital image. Setting up a system of feedback from consumers through digital channels on the basis of consecutive loops allows you to correlate planned indicators of the brand image with the actual indicators, as well as identifi cation of the existing problems and introducing timely adjustments to decisions on managing a brand’s digital image.

Silvopastoral systems, integrating woody vegetation and livestock farming, are increasingly recognized as a sustainable land-use supporting biodiversity and ecosystem services provision in the Mediterranean. However, this traditional practice has declined in recent decades, mainly because of land abandonment and intensification processes. We investigated the relationships between the factors involved in the dynamics of silvopastoralism in two contrasting Spanish case studies in Mediterranean mid-mountain areas: Sierra de Guara Natural Park and Lluçanès region. Combining semi-structured interviews with researchers and participatory workshops with key stakeholders, we built a Fuzzy Cognitive Map (FCM) representing the shared perception of forest grazing in each region and implemented methodological improvements in FCM post-processing and analysis leading to an improved understanding of FCM outcomes. Results revealed that the dynamics of forest grazing are highly influenced by the socioeconomic attractiveness of the farming sector because it was a central factor in both case studies, whereas the importance of other factors such as farm abandonment in Guara and access to land in Lluçanès were site-specific. Climate change and the Common Agricultural Policy (CAP) were identified as the main external drivers undermining forest grazing in both sites while the incidence of other economic activities (i.e., tourism or other livestock production systems) relied on the context of each region. In contrast, technological innovations, including GPS collars and virtual fencing, along with the existence of infrastructures such as water points and active forest management, were identified to promote beneficial feedback loops for forest grazing. Although the current policy framework is failing in fostering silvopastoralism, a policy shift from direct payments to result-based schemes for biomass reduction and wildfire prevention tailored to each region’s environmental constraints and potentials would lead to better outcomes for society as a whole.

In ecosystems, species interact in various ways with other species, and with their local environment. In addition, ecosystems are coupled in space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways of indirect effects: feedback loops. This contributes to creating a nested set of ecological feedbacks operating at different organizational levels as well as spatial and temporal scales in ecological systems: organisms modifying and being affected by their local abiotic environment, demographic and behavioral feedbacks within populations and communities, and spatial feedbacks occurring at the landscape scale. Here, we review how ecological feedbacks vary in space and time, and discuss the emergent properties they generate such as species coexistence or the spatial heterogeneity and stability of ecological systems. With the aim of identifying similarities across scales, we identify the abiotic and biotic modulators that can change the sign and strength of feedback loops and show that these feedbacks can interact in space or time. Our review shows that despite acting at different scales and emerging from different processes, feedbacks generate similar macroscopic properties of ecological systems across levels of organization. Ultimately, our contribution emphasizes the need to integrate such feedbacks to improve our understanding of their joint effects on the dynamics, patterns, and stability of ecological systems. [ABSTRACT FROM AUTHOR]

Feedback‐controlled chemical reaction networks (FCRNs) are indispensable for various biological processes, such as cellular mechanisms, patterns, and signaling pathways. Through the intricate interplay of many feedback loops (FLs), FCRNs maintain a stable internal cellular environment. Currently, creating minimalistic synthetic cells is the long‐term objective of systems chemistry, which is motivated by such natural integrity. The design, kinetic optimization, and analysis of FCRNs to exhibit functions akin to those of a cell still pose significant challenges. Indeed, reaching synthetic homeostasis is essential for engineering synthetic cell components. However, maintaining homeostasis in artificial systems against various agitations is a difficult task. Several biological events can provide us with guidelines for a conceptual understanding of homeostasis, which can be further applicable in designing artificial synthetic systems. In this regard, we organize our review with artificial homeostasis systems driven by FCRNs at different length scales, including homogeneous, compartmentalized, and soft material systems. First, we stretch a quick overview of FCRNs in different molecular and supramolecular systems, which are the essential toolbox for engineering different nonlinear functions and homeostatic systems. Moreover, the existing history of synthetic homeostasis in chemical and material systems and their advanced functions with self‐correcting, and regulating properties are also emphasized. [ABSTRACT FROM AUTHOR]

Institutionalized complaint systems are notable features of improving public programmes and government practice. This article reviews literature on formal grievance redress mechanisms in the global South to understand whether these mechanisms help the aggrieved to complain and seek redress for their grievances. In this emerging literature, the institutional and definitional boundaries of formal grievance mechanisms are slippery; systems that look like grievance systems may do little to enable complaints by those who seek to register them, and even less to enable them to achieve redress; with limited evidence on how these formal grievance systems work on the ground, and without sufficient power to act on complaints these formal grievance systems appear to be more ornamental; and where they have worked uncommonly well they have not always attracted political support to go to scale. The article concludes with a discussion of avenues for research identified through this literature review. [ABSTRACT FROM AUTHOR]

We used systems thinking (ST) to identify the critical components of beef cattle production through the lens of ecosystem services (ES), offering a holistic approach to address its adverse externalities. We identified eight critical feedback loops in beef production systems: (i) grazing and soil health, (ii) manure management and soil fertility, (iii) feed efficiency and meat production, (iv) water use and soil moisture, (v) cultural services and community engagement, (vi) energy use, (vii) carbon sequestration and climate regulation, and (viii) environmental impact. Our analysis reveals how these interconnected loops influence each other, demonstrating the complex nature of beef production systems. The dynamic hypothesis identified through the loops indicated that improved grazing and manure management practices enhance soil health, leading to better vegetation growth and cattle nutrition, which, in turn, have a positive impact on economic returns to producers and society, all of which encourage the continuation of interlinked beef and ecosystem stewardship practices. The management of beef production ES using ST might help cattle systems across the globe to contribute to 9 of the 17 different United Nations’ Sustainable Development Goals, including the “zero hunger” and “climate action” goals. We discussed the evaluation framework for agrifood systems developed by the economics of ecosystems and biodiversity to illustrate how ST in beef cattle systems could be harnessed to simultaneously achieve the intended environmental, economic, social, and health impacts of beef cattle systems. Our analysis of the literature for modeling and empirical case studies indicates that ST can reveal hidden feedback loops and interactions overlooked by traditional practices, leading to more sustainable beef cattle production outcomes. ST offers a robust framework for enhancing ES in beef cattle production by recognizing the interconnectedness of ecological and agricultural systems, enabling policymakers and managers to develop more effective and sustainable strategies that ensure the long-term health and resilience of humans and ES.

A software project measurement model plays a crucial role in assessing, monitoring, and improving software development processes and product quality. However, existing models often focus on localized optimization, limiting their effectiveness. This study introduces the 5P model to software project measurement, aiming to achieve global optimization and control. The article presents a conceptual overview of the 5P model and a detailed illustration of its steps using a real development process. By adopting a system thinking approach, the proposed model enables global optimization by aligning project objectives, product outcomes, and stakeholders' needs. Three feedback loops are utilized to ensure the alignment of project purposes, performance measurement, and stakeholder requirements. The 5P model provides transparent metrics, enabling stakeholders to track progress and make informed decisions. Results confirm the model's significant value in software project measurement, facilitating improved project outcomes and stakeholder satisfaction. [ABSTRACT FROM AUTHOR]

Making service provisioning significantly more sustainable is crucial if humankind wants to make a serious effort to operate within the boundaries of what the planet can support. The purpose of this paper is to develop a systemic understanding of sustainability in service provision and shed light on the mechanisms that drive unsustainability and hinder service providers in their efforts to be more sustainable. To contextualize our study, we focus on a significant sustainability problem: food waste stemming from food retail at the retailer-consumer interface. We make two theoretical contributions to the service research on sustainability. First, we offer a systemic conceptualization of sustainability in service as a dynamic ability of a focal system (e.g., a service firm) to sustain the system(s) that contains it. Second, we explicate the mechanisms—stocks and flows, feedback and mindsets—that contribute to (un)sustainable service provision as a systemic behavior, and which can thus be used as intervention points when designing sustainability initiatives. Our work also has significant practical implications for food retailers and policymakers working towards reaching UN's Sustainable Development Goal 12.3, as we specify the feedback loops that drive food waste and hinder efforts to reduce it at the retailer-consumer interface. [ABSTRACT FROM AUTHOR]

The endoplasmic reticulum (ER) plays a crucial role in cellular homeostasis. When ER stress is generated, an autophagic self-digestive process is activated to promote cell survival; however, cell death is induced in the case of excessive levels of ER stress. The aim of the present study was to investigate the effect of a natural compound called sulforaphane (SFN) upon ER stress. Our goal was to investigate how SFN-dependent autophagy activation affects different stages of ER stress induction. We approached our scientific analysis from a systems biological perspective using both theoretical and molecular biological techniques. We found that SFN induced the various cell-death mechanisms in a concentration- and time-dependent manner. The short SFN treatment at low concentrations promoted autophagy, whereas the longer treatment at higher concentrations activated cell death. We proved that SFN activated autophagy in a mTORC1-dependent manner and that the presence of ULK1 was required for its function. A low concentration of SFN pre- or co-treatment combined with short and long ER stress was able to promote cell survival via autophagy induction in each treatment, suggesting the potential medical importance of SFN in ER stress-related diseases. [ABSTRACT FROM AUTHOR]

This work describes a competing activation network, which is regulated by chemical feedback at the liquid‐surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in systems chemistry demonstrate that chemical feedback could be designed based on similar concepts of using activation and inhibition processes. Most efforts, however, are focused on temporal feedback whereas biological networks are maintained by the interplay between temporal and spatial organization. Here, we designed a feedback system comprising a simple acid‐base equilibrium that can be perturbed by two opposing activation processes. Crucially, one of the processes is immobilized on the surface of a microfluidic channel using poly‐l‐lysine (PLL). We measured the capacity of the PLL‐coated channels to resist changes in pH in flow using a pH‐sensitive indicator, phenol red, and showed that this capacity can be increased by employing polyelectrolyte multilayers. Specifically, we found that the rate of local activation (i. e., the deprotonation of the immobilized lysine residues) could be significantly increased to delay the otherwise fast equilibrium. This effect allowed for encoding read and write operations, providing the potential to bestow CRNs with the capacity of molecular information processing. [ABSTRACT FROM AUTHOR]

The p53 tumor suppressor protein is best known as an activator of cell cycle arrest and apoptosis. Only a fraction of p53-activated genes encode proteins affecting cellular replication and various forms of cell death (apoptosis, ferroptosis, autophagy). The p53-regulated genes can be divided into so-called the core transcriptional program, which comprises genes activated in most cell types by most activators, and into the group of genes activated in in cell- or stress-specific manner. Activation of p53 occurs via the extensive set of posttranslational modifications, which adjust its stability, interaction with other transcription regulators, and its ability to form a tetramer. Surprisingly, in mouse models, the activation of the best-studied p53 target genes encoding the inhibitor of the cell cycle (CDKN1A) or the inducers of apoptosis (e.g. NOXA, PUMA) is dispensable for protection against cancers. Thus, the non-classical functions of p53 must be studied to better understand its tumor suppressive mechanisms. [ABSTRACT FROM AUTHOR]

This paper outlines an argument for changing the foundation of design thinking practices to include causal feedback loops instead of primarily predicting futures using linear causal relations. The paper suggests for most real-world design situations the traditional linear causal perspective is insufficient and leads to lower value design outcomes. The authors propose instead designers address real-world complex design situations via design methods that include feedback loops, which require different design methods and tools. The discussion in the paper follows the understanding of systems researchers. The authors provide an example of the significant differences in outcomes using a comparative case study of government strategies in Western Australia and New South Wales to address COVID-19 and its adverse consequences including crime. The design of Western Australia’s strategies took into account feedback loops between factors. In contrast, New South Wales government strategies followed a traditional design approach based on linear causal relations without feedback loops similar to that used for long-term resource planning in hospitals. The Western Australian outcomes were significantly better than those of New South Wales in terms of infections, deaths, hospital resource management, and across economic and social benefits and this can be tied to the differences in design approach. The authors contend that in most real-world complex design contexts it is necessary for designers to move away from traditional design thinking based on linear causal relations and instead assume that all design thinking requires consideration of, and prediction of outcomes by, feedback loops between design factors. [ABSTRACT FROM AUTHOR]