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Allosteric SHP2 inhibitors suppress lung cancer cell migration by inhibiting non-canonical activation of EphA2 via the ERK-RSK signaling pathway
Superlattice of Self-Assembled Silver-Thiolates: The Formation of Unique Sublayers Induced by Mixed <i>N</i> -Alkyl Chains
Implementation of infection prevention and control components in Italian hospitals based on a nationwide survey on behalf of INSIEME project
Enzyme-like Enantioselectivity in GTM Chiral Zeolite Catalysts upon Preactivation of Ge Sites
Task allocation in a cooperative breeder reflects current needs, not early-life experience
Abstract Division of labour is often perceived as one of the major evolutionary transitions in social groups. Specialisation of individuals in different tasks performed in a territory can increase group efficiency in cooperative breeders and eusocial insects. Nevertheless, environmental unpredictability should select for the presence of generalist individuals, which can flexibly perform all tasks in the territory. Whether individuals should develop as specialists or generalists has been intensively studied to understand ecological influences on the evolution of complex societies. Experiences occurring during early life are crucial for the acquisition of appropriate behaviours in a social context. We examined later-life task performance of helpers of the cooperatively breeding cichlid Neolamprologus pulcher , which had received different early life experiences of helping needs. We demonstrated that neither repeated early life experience with the need to defend against a predator, nor the need for territory maintenance influenced current task performance. Instead, the current needs for help, such as for egg care, predator defence, and territory maintenance influenced task performance of helpers. Therefore, our results suggest that prioritising present requirements over early life experiences shapes task distribution among cooperative breeders.
High Pressure and Compositionally Directed Route to a Hexagonal GeSn Alloy Class
Correction: Soybean selection in Kenya enhanced by multi-trait and genotype-by-environment interaction modelling
Unravelling the Effects of Anions on the Vicinal H-Bonding Network near an Electrode and Activity of Single-Atom Electrocatalysts
Genistein enhances anti-PD-1 efficacy in melanoma by suppressing regulatory T cell differentiation and activity
Abstract The accumulation of regulatory T cells (Tregs) in the tumor microenvironment is a key factor for immunosuppression and immune escape of cancer cells. Genistein is a natural isoflavonoid in soybeans, possessing a wide range of pharmacological bioactivities. However, the immunomodulatory potential of genistein remains largely unexplored. This study investigated the synergistic efficacy of genistein with anti-PD-1 therapy in a mouse model of melanoma. The regulatory role of genistein in Treg differentiation and functional stability was also examined in this study. The antitumor effects of genistein, alone or in combination with anti-PD-1 therapy, were evaluated in the mouse B16-F10 melanoma model. The profiles of intratumoral Tregs and CD8 + cytotoxic T cells were profiled using flow cytometry. The impact of genistein on the suppressive function and differentiation of Tregs was also studied in vitro. RT-qPCR, Western blotting and flow cytometry were conducted to characterize the functional phenotype of Tregs under genistein treatment. Genistein showed a synergistic effect with anti-PD-1 therapy in B16-F10 melanoma models, achieving enhanced immune infiltration and functional reprogramming of the tumor microenvironment. This combinatorial strategy not only reduced intratumoral Tregs but also elevated the CD8 + /Treg ratio. At the mechanistic level, genistein effectively suppressed critical Treg surface markers, which are indispensable for Treg-mediated immunosuppression. Furthermore, it disrupted Treg differentiation by attenuating PI3K/AKT signaling phosphorylation. Our data demonstrated that genistein boosts the antitumor effect of anti-PD-1 therapy by impairing the immunosuppressive function and differentiation of Tregs, indicating that genistein has the potential to enhance the treatment outcome of the immune checkpoint inhibitor.
Cation Competition Experiments during Electrochemical CO <sub>2</sub> Reduction As a Probe of the Film-Modified Copper Microenvironment
Bayat-driven FOPID controller design for biogas-based microgrid with real-time validation
Abstract The energy policies of the $$21^{st}$$ century are increasingly focused on promoting generation solutions with minimal environmental impact. In response to strategic initiatives, the accelerating depletion of fossil fuel reserves has led to integrating renewable sources for power generation. The uncertain nature of solar and wind energy sources, along with fluctuating load demands, leads to frequency instability. This study addresses the challenge of frequency instability by designing a Bayat-tuned fractional-order proportional-integral-derivative (FOPID) controller for a decentralized microgrid $$(Dz \mu G)$$ . The proposed $$Dz \mu G$$ model consists of environmentally friendly energy sources such as a biogas turbine generator (BTG), a biodiesel engine generator (BEG), other distributed generation units (DGUs), and energy storage devices (ESDs). The mathematical modeling of $$Dz \mu G$$ components is carried out using first-order transfer functions, which are combined to derive the overall transfer function of $$Dz \mu G$$ model. This composite model is then approximated as a first-order plus time delay (FOPTD) system to simplify FOPID controller design. The parameters of the FOPID controller are optimized using the Bayat method to achieve robust performance under set-point tracking (SPT) and load disturbance rejection (LDR) scenarios. Based on this approach, three controller variants i.e., FOPID- $$Bayat_{SP1.4}$$ , FOPID- $$Bayat_{SP2.0}$$ , and FOPID- $$Bayat_{LD1.4}$$ , are developed. To validate the effectiveness of the proposed control strategy, various simulation scenarios are considered, including load disturbances and varying levels of solar and wind power penetration. The performance of the controllers is evaluated in terms of frequency deviation, error mitigation, and transient behavior under SPT and LDR conditions. A comparative analysis using error indices, time-domain metrics, control effort, and frequency plots confirms the effectiveness of the Bayat-tuned FOPID designs. Furthermore, real-time validation using the OPAL-RT simulator underscores their practical potential in maintaining frequency stability within $$Dz \mu G$$ systems. Owing to the performance analysis, it is justified that discussed FOPID–Bayat controllers consistently ensured controllability with a minimum rise time of $$4.02 \times 10^{-5}\,\text {s}$$ , a nearly constant settling time of $$\sim 49.8\,\text {s}$$ , and reduced control effort down to 0.12. Furthermore, error index evaluation confirmed that FOPID–Bayat $$_{SP2.0}$$ outperformed other configurations by achieving the lowest IAE (8.737), ITAE (223.0), ITSE (40.39), and ISE (1.706), thereby demonstrating superior efficiency and robustness.