This study explores the utilization of digital light processing (DLP) printing to fabricate complex structures using native gelatin as the sole structural component for applications in biological implants. Unlike approaches relying on synthetic materials or chemically modified biopolymers, this research harnesses the inherent properties of gelatin to create biocompatible structures. The printing process is based on a crosslinking mechanism using a di-tyrosine formation initiated by visible light irradiation. Formulations containing gelatin were found to be printable at the maximum documented concentration of 30 wt%, thus allowing the fabrication of overhanging objects and open embedded. Cell adhesion and growth onto and within the gelatin-based 3D constructs were evaluated by examining two implant fabrication techniques: (1) cell seeding onto the printed scaffold and (2) printing compositions that contain cells (cell-laden). The preliminary biological experiments indicate that both the cell-seeding and cell-laden strategies enable making 3D cultures of chondrocytes within the gelatin constructs. The mechanical properties of the gelatin scaffolds have a compressive modulus akin to soft tissues, thus enabling the growth and proliferation of cells, and later degrade as the cells differentiate and form a grown cartilage. This study underscores the potential of utilizing non-modified protein-only bioinks in DLP printing to produce intricate 3D objects with high fidelity, paving the way for advancements in regenerative tissue engineering.
How social complexity evolved remains a long-standing enigma. In most animal groups, social complexity is typically classified into a few discrete classes. This approach is oversimplified and constrains our inference of social evolution to a narrow trajectory consisting of transitions between classes. Such categorical classifications also limit quantitative studies on the molecular and environmental drivers of social complexity. The recent accumulation of relevant quantitative data has set the stage to overcome these limitations. Here, we propose a data-driven, high-dimensional approach for studying the full diversity of social phenotypes. We curated and analyzed a comprehensive dataset encompassing 17 social traits across 80 species and studied the evolution of social complexity in bees. We found that honey bees, stingless bees, and bumble bees underwent a major evolutionary transition ∼80 mya, inconsistent with the stepwise progression of the social ladder conceptual framework. This major evolutionary transition was followed by a phase of substantial phenotypic diversification of social complexity. Other bee lineages display a continuum of social complexity, ranging from solitary to simple societies, but do not reach the levels of social complexity seen in honey bees, stingless bees, and bumble bees. Bee evolution, therefore, provides a remarkable demonstration of a macroevolutionary process in which a major transition removed biological constraints and opened novel evolutionary opportunities, driving the exploration of the landscape of social phenotypes. Our approach can be extended to incorporate additional data types and readily applied to illuminate the evolution of social complexity in other animal groups.
How social complexity evolved remains a long-standing enigma. In most animal groups, social complexity is typically classified into a few discrete classes. This approach is oversimplified and constrains our inference of social evolution to a narrow trajectory consisting of transitions between classes. Such categorical classifications also limit quantitative studies on the molecular and environmental drivers of social complexity. The recent accumulation of relevant quantitative data has set the stage to overcome these limitations. Here, we propose a data-driven, high-dimensional approach for studying the full diversity of social phenotypes. We curated and analyzed a comprehensive dataset encompassing 17 social traits across 80 species and studied the evolution of social complexity in bees. We found that honey bees, stingless bees, and bumble bees underwent a major evolutionary transition \~80 mya, inconsistent with the stepwise progression of the social ladder conceptual framework. This major evolutionary transition was followed by a phase of substantial phenotypic diversification of social complexity. Other bee lineages display a continuum of social complexity, ranging from solitary to simple societies, but do not reach the levels of social complexity seen in honey bees, stingless bees, and bumble bees. Bee evolution, therefore, provides a remarkable demonstration of a macroevolutionary process in which a major transition removed biological constraints and opened novel evolutionary opportunities, driving the exploration of the landscape of social phenotypes. Our approach can be extended to incorporate additional data types and readily applied to illuminate the evolution of social complexity in other animal groups.
This article explores the work of Israeli artist Avner Pinchover, focusing on his engagement with violence as both a performative act and an aesthetic strategy. Incorporating video and still image documentation to challenge the very cultural frameworks that embrace him, Pinchover's controlled yet unpredictable interventions—ranging from sculptural destruction to performative gestures—blur the lines between art and vandalism, iconoclasm and institutional critique and resonate beyond the art scene to reflect broader socio-political conflicts, particularly within the Israeli-Palestinian context. By exposing the "elastic" boundaries of institutionalized art through transgressive yet aestheticized acts, Pinchover's performative violence compels us to confront a deep-seated fascination with aggression controlled and mediated by cultural structures.
Families are widely recognized as crucial agents in the transmission of wealth, contributing to the perpetuation of inequality and limiting mobility across income levels. To address the economic dynamics behind this phenomenon, classical economists have explored potential solutions through government tax-transfer systems. One such proposal, advanced by Eugenio Rignano, suggests imposing higher taxes on inheritances passed down through multiple generations within a family. To analyze this idea, a model is developed that incorporates both altruistic and accidental bequests, with altruistic bequests playing a crucial role in wealth transmission. The model considers the potential disincentives that inheritance taxation might create for savings intended for altruistic bequests, as well as the benefits of taxing accidental bequests. The novelty of the model lies in its characterization of optimal inheritance taxes when there is an interaction between parents' educational decisions for their children and the transmission of wealth. Simulations suggest that adopting Rignano's proposed tax scheme enhances social welfare compared to the commonly used proportional inheritance tax. These findings suggest that Rignano's tax scheme warrants further research and policy discussion
BACKGROUND: Bacillus Calmette-Guerin (BCG) therapy is an established immunotherapy for non-muscle invasive bladder cancer (NMIBC); however, the response variability of patients remains a challenge, necessitating insight into immune cell function. Previous studies established that a preexisting Th2 immune microenvironment correlates with a positive BCG therapy outcome. Therefore, in this study, we explored the role of mast cells (MCs) and eosinophils in bladder cancer as a potential predicting tool for BCG immunotherapy response. METHODS: We investigated the effect of MCs and eosinophils on bladder cancer cell viability together with their chemotactic migration towards cancer cells in vitro. The effect of BCG on these immune cells was also evaluated. Moreover, we performed an orthotopic model of bladder cancer in MC- and eosinophil-deficient mice. Finally, to evaluate whether these immune cells predict the therapy response, 26 patient biopsies pre-BCG treatment were analyzed for MC and eosinophil numbers in the tissue and sequenced for gene expression. RESULTS: Eosinophils, but not MCs, reduced bladder cancer cell viability in vitro and inhibited tumor growth in vivo. However, addition of BCG did not increase these effects in vitro. Patient biopsy analysis and mRNA sequencing showed that neither cell type predicted long-term therapy responsiveness. Gene expression analysis suggested that extracellular matrix and epithelial-to-mesenchymal transition factors could influence BCG therapy outcomes. CONCLUSION: Even though eosinophils exhibit anti-tumorigenic effects in bladder cancer, neither MCs nor eosinophils were predictive of the long-term BCG therapy response. However, our findings implicate that matrix-related factors may modulate BCG therapy responses.
