Progressive Evolution Research Articles

A Theory of the Evolutionary Role of Hereditary Tumors (carcino-evo-devo): the History and the Current State. Part 1. From General Principles to Hypothesis, and from Hypothesis to New Concept

The theory of the evolutionary role of hereditary tumors, or carcino-evo-devo theory, may be considered as the next step after A.N. Severtsov theory of phylembryogenesis, the theory of evo-devo, and Susumu Ohno theory of evolution by gene duplication. The carcino-evo-devo theory pretends to be a unifying biological theory, because it unifies within an integrated consideration three main types of biological development – individual, evolutionary and neoplastic development. The carcino-evo-devo theory explains a series of unexplained biological phenomena. In the first place, it explains the mechanisms of progressive evolution and biological complexity increase using the concept of relatively unstable transitory forms and autonomous uncontrolled processes. The theory of the evolutionary role of hereditary tumors has formulated several non-trivial predictions in various fields of biology, which have been confirmed in the lab of the author and in other laboratories. The consequences of the carcino-evo-devo theory have implications in medicine and biotechnology. The first part of the article describes the basic principles from which the main hypothesis followed, the progressive developments of the concept, and the first experimental data in support of non-trivial predictions obtained in the laboratory of the author in the period before 2014, when our monograph “Evolution by Tumor Neofunctionalization” (Kozlov, 2014) has been published.

Exploring Sustainable Innovation Level, Spatial Inequities, and Convergence Trends in China’s Wood Industry

The importance of sustainable innovation in the wood industry is growing, but there is a lack of comprehensive analysis of its evolution, regional differences, and patterns of convergence in China. Based on the panel data of 31 provinces in China from 2011 to 2021, the sustainable innovation index of the wood industry is measured by the projection pursuit method. On this basis, the kernel density estimation method and Dagum Gini coefficient are used to study the dynamic evolution trend, regional differences, and sources of the index, and the convergence characteristics are examined using the coefficient of variation method. The study shows that (1) China’s overall wood industry sustainable innovation index shows a decreasing trend from 2011 to 2021. (2) The differences in the four regions mainly come from inter-regional differences. (3) The index shows significant nonequilibrium characteristics and progressive evolution patterns, and the spatial agglomeration is significant. The magnitude of the index deviation from the average did not decrease over time for the northern and southwestern forest regions. (4) The wood industry sustainable innovation index of the four major forest regions has obviously converged to the same level; under the condition of considering multifactors differentiation, the growth rate of the index of the lower regions is significantly higher than that of the higher regions. The study concludes that current regional imbalances in sustainable innovation in China impede progress and equitable distribution of benefits in the wood industry, and that the impact of regional differences on the β-convergence of sustainable innovation varies according to specific regional characteristics and conditions. These findings provide important theoretical contributions and practical guidance for the development of targeted innovation strategies for the sustainable development of the wood industry, as well as for the promotion of balanced regional development.

Golden era of radiosensitizers

The past 30 years have brought undeniable progress in medicine, biology, physics, and research. Knowledge of the nature of the human body, diseases, and disorders has been constantly improving, and the same is true regarding their treatment and diagnosis. One of the greatest advances in recent years has been the introduction of nanoparticles (NPs) into medicine. NPs refer to a material at a nanometer scale (0.1–100 nm) with features (specific physical, chemical, and biological properties) that are broadly and increasingly used in the medical field. Their applications in cancer treatment and radiotherapy seem particularly attractive. In this field, inorganic/metal NPs with high atomic number Z have been employed mainly due to their ability to enhance ionizing radiation’s photoelectric and Compton effects and thereby increase conventional radiation therapy’s efficacy. The improvement NPs enable relates to their enhanced permeation ability and longer retention effect in tumor cells, capacity to reduce toxicity of commercially available cancer drugs through advanced NPs drug delivery systems, radiation sensitizers of tumors, or enhancers of radiation doses to tumors. Advanced options according to size, core, and surface modification allow even such multimodal approaches in therapy as nanotheranostics or combined treatments. The current state of knowledge emphasizes the role of gold nanoparticles (AuNPs) in sensitizing tumors to radiation. We have reviewed AuNPs and their radiosensitizing power during radiation treatment. Our results are divided into groups based on AuNPs’ surface modification and/or core structure design. This study provides a complete summary of the in vivo sensitizing effect of AuNPs, surface-modified AuNPs, and AuNPs combined with different elements, providing evidence for further successful veterinarian and clinical implementation.

Lateral shear interferometry for shape accuracy measurements of 3D-printed micro-optics

Abstract The technique of 3D-printed micro-optics has experienced significant advancements over the last few years [1, 2]. This progressive evolution has been marked by remarkable strides in precision and miniaturization, making it particularly attractive to applications in the field of medical endoscopy. One noteworthy application entails the fabrication of micro-lenses directly on optical fibers, thereby creating endoscopic devices with unparalleled capabilities. A significant attribute of these micro-optical systems lies in their capability for precise imaging and their adept navigation through exceptionally narrow biological structures. For instance, the application of the 3D-printed endoscopy technology has facilitated insertion into the aorta of mice, as well as severely diseased human carotid arteries [2, 3]. This unprecedented level of accessibility and adaptability holds immense promise for diagnostic and therapeutic interventions in the realm of cardiovascular medicine and beyond. In the future, it may also be conceivable for micro-lenses to serve not only as imaging tools, but also as integral components of 3D-printing processes aimed at repairing damaged human tissue with bio-materials. For micro-lens production and quality control, performance assessment is invariably necessary to assure diffraction limited imaging in the different optical applications. With confocal surface profiling, only the surface shape information of micro-optics can be obtained. However, not only the shape of 3D-printed optics is relevant for its quality, but also its refractive index distribution is crucial when determining its overall optical performance. Therefore, the measurement of the wavefront is decisive in evaluating lens performance. Lateral shear interferometry presents itself as a compact and precise method for wavefront measurements. The only essential component required in the set-up is a pair of glass plates with high surface quality. Consequently, the entire set-up can be notably streamlined, as there is no requirement to construct an interferometer reference arm. This advantage facilitates the development of a notably compact set-up, making lateral shear interferometry particularly advantageous for integration with microscope and 3D-printer, despite the requirement for more complex algorithms in analyzing lateral shear interferograms. In this paper, simulation of shear interferogram fringes corresponding to wavefronts exhibiting varying aberrations are discussed. Additionally, this research encompasses measurement and analysis of shear interferograms obtained from wave fronts transmitted through different lenses. Through meticulous examination of these experimental results, the characteristics and performance of the tested optical systems are elucidated, contributing to a deeper understanding of wavefront analysis methodologies and their applicability in optical characterization studies.

Effect of fiber breakage defect and waviness defect on compressive fatigue behavior and damage evolution of 3D multiaxial braided composites

This paper reports the effects of fiber breakage defects and waviness defects on the compressive fatigue behavior and the progressive damage evolution process of 3D Multiaxial Braided Composites (3DMBCs). Combined with finite element compression simulation and ultra-depth microscope, the internal defect content of composites with different braiding angles was determined. The results demonstrate that the weakening effect of waviness and fiber breakage defects is greater than the strengthening effect of the braiding angle. This causes the fatigue resistance of 3DMBCs with the 31° braiding angle being better in both directions of 0° and 90°. The increase of 4° waviness and 10% fiber breakage defect results in the average fatigue life of composites being shortened by 48% and the energy consumption rate increased by 10% at 85% stress level in the 90° compression direction. The alteration in loading direction modifies the included angle corresponding to the stress component. The stress component parallel to the fiber direction under compressive fatigue load leads to interfacial debonding in the composites, whereas the stress component perpendicular to the fiber direction results in pronounced shear failure.

The evolutionary progression of cancers

The evolutionary progression of cancers

Subthalamic Deep Brain Stimulation under General Anaesthesia for Parkinson's Disease: Institutional Experience and Outcomes.

Direct targeting in deep brain stimulation (DBS) has remarkably impacted the patient's experience throughout the surgery and the overall logistics of the procedure. When the individualised plan is co-registered with a 3D image acquired intraoperatively, the electrodes can be safely placed under general anaesthesia. How this applies to a general practice scenery (outside clinical trials and in a moderate caseload centre) has been scarcely reported. Prospective single-centre study of patients treated with asleep subthalamic DBS for Parkinson's disease between January 2021 and December 2022. Clinical, motor, medication-dependence and quality-of-life outcomes were evaluated after optimal programming (6 months). Wilcoxon test was used to compare pre- versus post-repeated measures. Surgical-related parameters were also analysed. 89 patients primarily operated for DBS were included in the study. Intraoperative electrode replacement was not necessary. Mean surgical duration was 217 (SD 44) minutes, including the implantation of the generator; and mean length of stay was 3 (SD 1) days. There was one surgical-related complication (delayed infection). Significant and clinically relevant improvement was seen in UPRS III (mean decrease 62%) (p<0.001) and PDQ-8 (50% increase) (p<0.001) after 6 months. Daily doses of medication were decreased by a mean of 68%, p<0.001). DBS can be safely performed under general anaesthesia in a pragmatic clinical environment, provided a multidisciplinary committee for patient selection and a dedicated surgical and anaesthetic team are available. The effectiveness in ameliorating motor symptoms, the ability to reduce the drug load, and the improvement in quality of life demonstrated in clinical trials could be reproduced under more generalised conditions as in our centre. The need for a team learning curve and the progressive evolution in, and adaptation to, trajectory planning software, anaesthetic management, intraoperative imaging, DBS device upgrades and programming schemes should be contemplated in the transition process to direct targeting.

Long-term co-circulation of multiple arboviruses insoutheast Australia revealed by xeno-monitoring andviral whole-genome sequencing.

Arbovirus surveillance of wild-caught mosquitoes is an affordable and sensitive means of monitoring virus transmission dynamics at various spatial-temporal scales, and emergence and re-emergence during epidemic and interepidemic periods. A variety of molecular diagnostics for arbovirus screening of mosquitoes (known as xeno-monitoring) are available, but most provide limited information about virus diversity. Polymerase chain reaction (PCR)-based screening coupled with RNA sequencing is an increasingly affordable and sensitive pipeline for integrating complete viral genome sequencing into surveillance programs. This enables large-scale, high-throughput arbovirus screening from diverse samples. We collected mosquitoes in CO2-baited light traps from five urban parks in Brisbane from March 2021 to May 2022. Mosquito pools of ≤200 specimens were screened for alphaviruses and flaviviruses using virus genus-specific primers and reverse transcription quantitative PCR (qRT-PCR). A subset of virus-positive samples was then processed using a mosquito-specific ribosomal RNA depletion method and then sequenced on the Illumina NextSeq. Overall, 54,670 mosquitoes representing 26 species were screened in 382 pools. Thirty detections of arboviruses were made in 28 pools. Twenty of these positive pools were further characterized using RNA sequencing generating 18 full-length genomes. These full-length sequences belonged to four medically relevant arboviruses: Barmah Forest, Ross River, Sindbis-like, and Stratford viruses. Phylogenetic and evolutionary analyses revealed the evolutionary progression of arbovirus lineages over the last 100 years, demonstrating that different epidemiological, immunological, and evolutionary processes may actively shape the evolution of Australian arboviruses. These results underscore the need for more genomic surveillance data to explore the complex evolutionary pressures acting on arboviruses. Overall, our findings highlight the effectiveness of our methodology, which can be applied broadly to enhance arbovirus surveillance in various ecological contexts and improve understanding of transmission dynamics.

A Theory of the Evolutionary Role of Hereditary Tumors (Carcino-Evo-Devo): The History and the Current State. Part 4. A General Theory of Biological Complexity Increase in Progressive Evolution

A Theory of the Evolutionary Role of Hereditary Tumors (Carcino-Evo-Devo): The History and the Current State. Part 4. A General Theory of Biological Complexity Increase in Progressive Evolution

Tracing the birth and intrinsic disorder of loops and domains in protein evolution

AbstractProtein loops and structural domains are building blocks of molecular structure. They hold evolutionary memory and are largely responsible for the many functions and processes that drive the living world. Here, we briefly review two decades of phylogenomic data-driven research focusing on the emergence and evolution of these elemental architects of protein structure. Phylogenetic trees of domains reconstructed from the proteomes of organisms belonging to all three superkingdoms and viruses were used to build chronological timelines describing the origin of each domain and its embedded loops at different levels of structural abstraction. These timelines consistently recovered six distinct evolutionary phases and a most parsimonious evolutionary progression of cellular life. The timelines also traced the birth of domain structures from loops, which allowed to model their growth ab initio with AlphaFold2. Accretion decreased the disorder of the growing molecules, suggesting disorder is molecular size-dependent. A phylogenomic survey of disorder revealed that loops and domains evolved differently. Loops were highly disordered, disorder increased early in evolution, and ordered and moderate disordered structures were derived. Gradual replacement of loops with α-helix and β-strand bracing structures over time paved the way for the dominance of more disordered loop types. In contrast, ancient domains were ordered, with disorder evolving as a benefit acquired later in evolution. These evolutionary patterns explain inverse correlations between disorder and sequence length of loops and domains. Our findings provide a deep evolutionary view of the link between structure, disorder, flexibility, and function.

Progressive Damage Model of Carbon-fiber Reinforced Polymer Laminates under Low-velocity Impact Loading

The study quantitatively investigates the mechanical structural behavior and damage mechanisms of composite laminates under low-velocity impacts using Abaqus software. A three-dimensional Puck criterion is utilized to identify the onset of fiber failure and matrix cracking under tensile and compressive loading conditions. Two progressive damage evolution models are implemented to simulate damage propagation during impact. The model also incorporates cohesive elements with a bilinear traction-separation law to represent interlaminar damage. The performance of the model is validated by comparing its predictions against experimental results for a composite laminate with a stacking sequence of [0°3/45°/-45°2/45°/0°3] subjected to different impact energies (2 J, 4 J, and 8 J). Despite a slight reduction in accuracy at higher energy levels, the model effectively predicts forcedisplacement curves and energy absorption. The deviation from experimental results is approximately ±6%. This research offers a basis for enhancing the impact resistance and energy absorption characteristics of composite materials.

FoldMark: Protecting Protein Generative Models with Watermarking.

Protein structure is key to understanding protein function and is essential for progress in bioengineering, drug discovery, and molecular biology. Recently, with the incorporation of generative AI, the power and accuracy of computational protein structure prediction/design have been improved significantly. However, ethical concerns such as copyright protection and harmful content generation (biosecurity) pose challenges to the wide implementation of protein generative models. Here, we investigate whether it is possible to embed watermarks into protein generative models and their outputs for copyright authentication and the tracking of generated structures. As a proof of concept, we propose a two-stage method FoldMark as a generalized watermarking strategy for protein generative models. FoldMark first pretrain watermark encoder and decoder, which can minorly adjust protein structures to embed user-specific information and faithfully recover the information from the encoded structure. In the second step, protein generative models are fine-tuned with Low-Rank Adaptation modules with watermark as condition to preserve generation quality while learning to generate watermarked structures with high recovery rates. Extensive experiments are conducted on open-source protein structure prediction models (e.g., ESMFold and MultiFlow) and de novo structure design models (e.g., FrameDiff and FoldFlow) and we demonstrate that our method is effective across all these generative models. Meanwhile, our watermarking framework only exerts a negligible impact on the original protein structure quality and is robust under potential post-processing and adaptive attacks.

Evolving Educational Testing to Meet Students’ Needs: Design‐in‐Real‐Time Assessment

AbstractThe goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design‐In‐Real‐Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment system. In this article, we lay the foundation for DIRTy assessment and illustrate how it meets the complex needs of each individual learner. The assessment framework incorporates culturally responsive assessment principles, thus making it innovative with respect to both technology and equity. Key aspects are (a) assessment building blocks called “assessment task modules” (ATMs) linked to multiple content standards and skill domains, (b) gathering information on test takers’ characteristics and preferences and using this information to improve their testing experience, and (c) selecting, modifying, and compiling ATMs to create a personalized test that best meets the needs of the testing purpose and individual test taker.

A single-cell transcriptomic map of the murine and human multiple myeloma immune microenvironment across disease stages

BackgroundThe long-term effectiveness of immunotherapies against Multiple Myeloma (MM) remains elusive, demonstrated by the inevitable relapse in patients. This underscores the urgent need for an in-depth analysis of the MM tumor-immune microenvironment (TME). Hereto, a representative immunocompetent MM mouse model can offer a valuable approach to study the dynamic changes within the MM-TME and to uncover potential resistance mechanisms hampering effective and durable therapeutic strategies in MM.MethodsWe generated a comprehensive single-cell RNA-sequencing atlas of the MM-TME in bone marrow and spleen encompassing different stages of disease, using the immunocompetent 5T33MM mouse model. Through comparative analysis, we correlated our murine dataset with the pathogenesis in MM patients by reanalyzing publicly available datasets of human bone marrow samples across various disease stages. Using flow cytometry, we validated the dynamic changes upon disease progression in the 5T33MM model. Furthermore, interesting target populations, as well as the immune-boosting anti-CD40 agonist (αCD40) therapy were tested ex vivo on murine and human primary samples and in vivo using the 5T33MM model.ResultsIn this study, we identified the heterogenous and dynamic changes within the TME of murine and human MM. We found that the MM-TME was characterized by an increase in T cells, accompanied with an exhausted phenotype. Although neutrophils appeared to be rather innocuous at early disease stages, they acquired a pro-tumorigenic phenotype during MM progression. Moreover, conventional dendritic cells (cDCs) showed a less activated phenotype in MM, underscoring the potential of immune-boosting therapies such as αCD40 therapy. Importantly, we provided the first pre-clinical evaluation of αCD40 therapy and demonstrated successful induction of cDC- and T-cell activation, accompanied by a significant short-term anti-tumor response.ConclusionsThis resource provides a comprehensive and detailed immune atlas of the evolution in human and murine MM disease progression. Our findings can contribute to immune-based patient stratification and facilitate the development of novel and durable (immune) therapeutic strategies in MM.

Modulating Microbial Materials - Engineering Bacterial Cellulose with Synthetic Biology.

The fusion of synthetic biology and materials science offers exciting opportunities to produce sustainable materials that can perform programmed biological functions such as sensing and responding or enhance material properties through biological means. Bacterial cellulose (BC) is a unique material for this challenge due to its high-performance material properties and ease of production from culturable microbes. Research in the past decade has focused on expanding the benefits and applications of BC through many approaches. Here, we explore how the current landscape of BC-based biomaterials is being shaped by progress in synthetic biology. As well as discussing how it can aid production of more BC and BC with tailored material properties, we place special emphasis on the potential of using BC for engineered living materials (ELMs); materials of a biological nature designed to carry out specific tasks. We also explore the role of 3D bioprinting being used for BC-based ELMs and highlight specific opportunities that this can bring. As synthetic biology continues to advance, it will drive further innovation in BC-based materials and ELMs, enabling many new applications that can help address problems in the modern world, in both biomedicine and many other application fields.

Understanding the interplay between extracellular matrix topology and tumor-immune interactions: Challenges and opportunities.

Modern cancer management comprises a variety of treatment strategies. Immunotherapy, while successful at treating many cancer subtypes, is often hindered by tumor immune evasion and T cell exhaustion as a result of an immunosuppressive tumor microenvironment (TME). In solid malignancies, the extracellular matrix (ECM) embedded within the TME plays a central role in T cell recognition and cancer growth by providing structural support and regulating cell behavior. Relative to healthy tissues, tumor associated ECM signatures include increased fiber density and alignment. These and other differentiating features contributed to variation in clinically observed tumor-specific ECM configurations, collectively referred to as Tumor-Associated Collagen Signatures (TACS) 1-3. TACS is associated with disease progression and immune evasion. This review explores our current understanding of how ECM geometry influences the behaviors of both immune cells and tumor cells, which in turn impacts treatment efficacy and cancer evolutionary progression. We discuss the effects of ECM remodeling on cancer cells and T cell behavior and review recent in silico models of cancer-immune interactions.

A streamlined method to generate endothelial cells from human pluripotent stem cells via transient doxycycline-inducible ETV2 activation.

The development of reliable methods for producing functional endothelial cells (ECs) is crucial for progress in vascular biology and regenerative medicine. In this study, we present a streamlined and efficient methodology for the differentiation of human induced pluripotent stem cells (iPSCs) into induced ECs (iECs) that maintain the ability to undergo vasculogenesis in vitro and in vivo using a doxycycline-inducible system for the transient expression of the ETV2 transcription factor. This approach mitigates the limitations of direct transfection methods, such as mRNA-mediated differentiation, by simplifying the protocol and enhancing reproducibility across different stem cell lines. We detail the generation of iPSCs engineered for doxycycline-induced ETV2 expression and their subsequent differentiation into iECs, achieving over 90% efficiency within four days. Through both in vitro and in vivo assays, the functionality and phenotypic stability of the derived iECs were rigorously validated. Notably, these cells exhibit key endothelial markers and capabilities, including the formation of vascular networks in a microphysiological platform in vitro and in a subcutaneous mouse model. Furthermore, our results reveal a close transcriptional and proteomic alignment between the iECs generated via our method and primary ECs, confirming the biological relevance of the differentiated cells. The high efficiency and effectiveness of our induction methodology pave the way for broader application and accessibility of iPSC-derived ECs in scientific research, offering a valuable tool for investigating endothelial biology and for the development of EC-based therapies.

Acute carpal tunnel syndrome after atraumatic rupture of the flexor tendons: a case report

Acute carpal tunnel syndrome (ACTS) is a rare entity, mainly associated with traumatic causes, although patients with predisposing factors such as taking anticoagulants or tendinopathies may debut with an atraumatic ACTS. This case study presents the case of a 77-year-old male patient, anticoagulated, who began with rapidly progressive pain and swelling in the right wrist, radiating towards the medial territory, with no history of traumatic triggering event. Examination showed paraesthesia in the volar aspect of the first to third fingers of the hand and increased pain on passive mobilisation of the fingers. Given the progressive evolution of the condition and the lack of response to both physical and pharmacological measures, the carpal tunnel was opened surgically. During surgery, a significant haematoma was observed secondary to the rupture of the deep flexor tendons of the fourth and fifth fingers inside the canal. Following release of the carpal tunnel, complete recovery of the symptomatology occurred. In conclusion, a high degree of clinical suspicion is necessary in a patient with an examination suggestive of ACTS. The treatment of choice is urgent surgical decompression of the carpal tunnel. Early intervention allows resolution of symptoms and reduces complications.

Emphasizing the innovation of urological robotic-assisted surgical instruments and technology driven by new quality productivity forces

New quality productivity force is an advanced form of productive force that is innovation-driven, characterized by high technology, high efficiency, and high quality. It aligns with the new development philosophy and represents an advanced state of productivity. Within the medical sphere, this concept is epitomized by the progressive evolution of surgical instruments and techniques. In recent years, the rapid development of new quality productivity forces in the medical field has generated significant anticipation for innovations in urological robotic surgery instruments and techniques. Advancements in domestically produced robotic surgery systems, remote robotic surgery, single-port robotic surgery, and pediatric-specific robotic surgery exemplify the critical application of new quality productivity forces in urology. The integration of artificial intelligence, haptic feedback technology, and sensory enhancement technologies has further enhanced the safety and precision of surgeries. Driven by these new quality productivity forces, the development of urological robotic surgery instruments and techniques has reached a new milestone, potentially setting a new gold standard for urological surgeries and providing patients with safer, more efficient, and personalized medical care. However, certain emerging technologies still face challenges in their application, necessitating further research and clinical validation.

Progressive evolution of the viscous dissipation mechanism from the macroscale to the nanoscale

Recent studies of viscous dissipation mechanisms in impacting droplets have revealed distinct behaviours between the macroscale and nanoscale. However, the transition of these mechanisms from the macroscale to the nanoscale remains unexplored due to limited research at the microscale. This work addresses the gap using the many-body dissipative particle dynamics (MDPD) method. While the MDPD method omits specific atomic details, it retains crucial mesoscopic effects, making it suitable for investigating the impact dynamics at the microscale. Through the analysis of velocity contours within impacting droplets, the research identifies three primary contributors to viscous dissipation during spreading: boundary-layer viscous dissipation from shear flow; rim geometric head loss; and bulk viscous dissipation caused by droplet deformation. This prompts a re-evaluation of viscous dissipation mechanisms at both the macroscale and nanoscale. It reveals that the same three kinds of dissipation are present across all scales, differing only in their relative intensities at each scale. A model of the maximum spreading factor (βmax) incorporating all forms of viscous dissipation without adjustable parameters is developed to substantiate this insight. This model is validated against three distinct datasets representing the macroscale, microscale and nanoscale, encompassing a broad spectrum of Weber numbers, Ohnesorge numbers and contact angles. The satisfactory agreement between the model predictions and the data signifies a breakthrough in establishing a universal βmax model applicable across all scales. This model demonstrates the consistent nature of viscous dissipation mechanisms across different scales and underscores the importance of integrating microscale behaviours to understand macroscale and nanoscale phenomena.