On the rational difference equation  y n + 1 = α 0 y n + α 1 y n − p + α 2 y n − q + α 3 y n − r + α 4 y n − s β 0 y n + β 1 y n − p + β 2 y n − q + β 3 y n − r + β 4 y n − s

Alotaibi, Abeer M.; El-Moneam, M. A.; Noorani, Mohd Salmi Md

doi:10.22436/jnsa.011.01.07

Cited by 6 publications

(7 citation statements)

References 3 publications

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“…It is based on insights from complex systems science, adept at understanding non-linear developments and ‘Black Swan’ events, 1 while offering a fresh perspective on policy formulation. By weaving together insights from managerial practice ( Snowden and Boone, 2007 ; Joint Research Centre, European Commission et al, 2021 ), risk management ( Taleb et al, 2014 ; Taleb, 2020 ), and the framework of attractor landscapes in human behavior change ( Heino et al, 2022 ), this work aims to build on calls to craft policies suitable for an interconnected world ( Heino et al, 2023 ).…”

Section: Risk Responses In a Complex Worldmentioning

confidence: 99%

“…A landscape with only one possible attractor feels safe. But it is crucial to understand that, had a transition to ruin happened, the current discourse would not take place – a prime example of survivorship bias in the absence of the aforementioned black swan events ( Taleb, 2007 ; Taleb et al, 2014 ). The absence of a previous leap from one attractor to a disastrous one by no means negates its potential occurrence in the future.…”

Section: Attractors and Tipping Points In The Space Of Possibilitiesmentioning

confidence: 99%

“…The absence of a previous leap from one attractor to a disastrous one by no means negates its potential occurrence in the future. In fact, if this perilous state persists and the attractor does not capture the system permanently, a possible future will eventually encounter it if the original attractor is destabilized, resulting in ruin ( Taleb et al, 2014 ). This highlights the limitations of relying solely on historical data when evaluating phenomena with potential for extreme impact.…”

Section: Attractors and Tipping Points In The Space Of Possibilitiesmentioning

confidence: 99%

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From a false sense of safety to resilience under uncertainty

Heino,

Proverbio,

Saurio

et al. 2024

Front. Psychol.

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Understanding and acting upon risk is notably challenging, and navigating complexity with understandings developed for stable environments may inadvertently build a false sense of safety. Neglecting the potential for non-linear change or “black swan” events – highly impactful but uncommon occurrences – may lead to naive optimisation under assumed stability, exposing systems to extreme risks. For instance, loss aversion is seen as a cognitive bias in stable environments, but it can be an evolutionarily advantageous heuristic when complete destruction is possible. This paper advocates for better accounting of non-linear change in decision-making by leveraging insights from complex systems and psychological sciences, which help to identify blindspots in conventional decision-making and to develop risk mitigation plans that are interpreted contextually. In particular, we propose a framework using attractor landscapes to visualize and interpret complex system dynamics. In this context, attractors are states toward which systems naturally evolve, while tipping points – critical thresholds between attractors – can lead to profound, unexpected changes impacting a system’s resilience and well-being. We present four generic attractor landscape types that provide a novel lens for viewing risks and opportunities, and serve as decision-making contexts. The main practical contribution is clarifying when to emphasize particular strategies – optimisation, risk mitigation, exploration, or stabilization – within this framework. Context-appropriate decision making should enhance system resilience and mitigate extreme risks.

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Section: Risk Responses In a Complex Worldmentioning

confidence: 99%

Section: Attractors and Tipping Points In The Space Of Possibilitiesmentioning

confidence: 99%

Section: Attractors and Tipping Points In The Space Of Possibilitiesmentioning

confidence: 99%

See 1 more Smart Citation

From a false sense of safety to resilience under uncertainty

Heino,

Proverbio,

Saurio

et al. 2024

Front. Psychol.

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“…Yet the drivers of the invasive transition remain poorly characterized, obscuring the reliable identification of high-risk lesions (Wilson et al, 2022;Wang et al, 2024). In IDC, neoplastic epithelial cells have breached through the basement membrane and evaded the ductal confinement into the surrounding stromal tissue (Lo et al, 2017;Wilson et al, 2022;Wang et al, 2024). The transition from DCIS to IDC is initiated by a subset of transformed cells that unlock the restricted capacity of phenotypic plasticity.…”

Section: Introductionmentioning

confidence: 99%

Dynamic HSF2 regulation drives breast cancer progression by steering the balance between proliferation and invasion

Pessa,

Paavolainen,

Puustinen

et al. 2024

Preprint

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Phenotypic plasticity is a hallmark of breast carcinogenesis that facilitates the acquisition of invasive propertiesviaepithelial-mesenchymal transition (EMT). Transforming growth factor-beta (TGF-β), a key EMT-inducing cytokine, drives pro-metastatic gene programs through downstream transcription factors. Among mammalian stress-protective transcription factors, heat shock factor 2 (HSF2) has been associated with cancer progression, but the mechanisms regulating HSF2 expression and activity are unknown. Here, we demonstrate that TGF-β stimulation downregulates HSF2 to enable activation of an invasive phenotype. Remarkably, ectopic expression of HSF2 in breast cancer cells inhibited TGF-β-mediated effects on gene expression and cellular properties. By using bothin vitrocell models andin vivozebrafish xenografts, we found that a temporal downregulation of HSF2 is a prerequisite for EMT activation, while ectopically sustained HSF2 promotes rapid cell proliferation and survival. Analyses of human patient tissues corroborated our results by showing that HSF2 is dynamically regulated during breast cancer progression. Specifically, HSF2 expression and nuclear co-localization with the proliferation marker Ki67 are dramatically increased already in ductal carcinomain situ. Altogether, our findings expand the pathological landscape of HSF2, demonstrating that dynamic regulation of HSF2 is an inherent property of malignant progression and characterizes the distinct stages of breast cancer.

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“…Animal cell imaging usually has been applied for various biomedical applications, namely targeted drug delivery toward tumours [23], biolabeling and bioimaging [24], disease detection and so forth [24].…”

Section: Introductionmentioning

confidence: 99%

Bioinspired multicolour carbon dots: comprehensive cytotoxicity, phytotoxicity, and bioimaging in animal cells and plants

et al. 2023

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During the past decades, carbon dots (CDs) as a kind of nanoparticles with interesting fluorescence properties have retained their place as one of the best bioimaging agents, although their effects on plants have been rarely studied. In this study, we synthesized two kinds of concentration‐dependent multicolour CDs using two solvent approaches, phosphate‐buffered saline (PBS) and ethanol 20%. We confirmed the nature of the CDs through Fourier transform infrared spectroscopy, atomic force microscopy, dynamic light scattering, zeta potential, X‐ray powder diffraction, and high‐resolution transmission electron microscopy. Afterwards, the cytotoxicity, phytotoxicity, and bioimaging of animal cells and plants using both synthesized CDs were examined. Eventually, PBS‐based CDs were recommended during this study as an efficient bioimaging agent for animal cells and plants because of the appealing features of this CD, such as a small size range of less than 10 nm, surface charge with an average of −24 mV, a high quantum yield of 35.82%, the higher fluorescence intensity of ~400 a.u. for blue fluorescence light and 250 a.u. for green fluorescence light. Other features showing the superiority of PBS‐based CDs include high photostability, low phytotoxicity (p ≤ 0.05 and p ≤ 0.01) and above all, there was no significant cytotoxicity at the concentration range of 500–7.81 μg/ml.

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On the rational difference equation y n + 1 = α 0 y n + α 1 y n − p + α 2 y n − q + α 3 y n − r + α 4 y n − s β 0 y n + β 1 y n − p + β 2 y n − q + β 3 y n − r + β 4 y n − s

Cited by 6 publications

References 3 publications

From a false sense of safety to resilience under uncertainty

From a false sense of safety to resilience under uncertainty

Dynamic HSF2 regulation drives breast cancer progression by steering the balance between proliferation and invasion

Bioinspired multicolour carbon dots: comprehensive cytotoxicity, phytotoxicity, and bioimaging in animal cells and plants

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