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    t-channel dark matter models – a whitepaper

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    This report, summarising work achieved in the context of the LHC Dark Matter Working Group, investigates the phenomenology of t-channel dark matter models, spanning minimal setups with a single dark matter candidate and mediator to more complex constructions closer to UV-complete models. For each considered class of models, we examine collider, cosmological and astrophysical implications. In addition, we explore scenarios with either promptly decaying or long-lived particles, as well as featuring diverse dark matter production mechanisms in the early universe. By providing a unified analysis framework, numerical tools and guidelines, this work aims to support future experimental and theoretical efforts in exploring t-channel dark matter models at colliders and in cosmology

    Long-Horizon Direct Model Predictive Control for Medium-Voltage Converters Connected to a Distorted Grid

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    Long-horizon finite control set model predictive control (FCS-MPC) is known for its superior performance, particularly when applied to complex, higher order systems, such as grid-connected converters with LCL filters. This article proposes a long-horizon FCS-MPC method that effectively operates such systems even in the presence of time-varying model parameters and distorted grid voltage with variable harmonic content. To do so, the proposed method incorporates information about the grid voltage distortion when generating the reference trajectories of the controlled variables, namely, the grid and converter currents and the filter capacitor voltage. In addition, a fast estimation algorithm continuously updates the grid- and converter-side reactances, thus ensuring robustness to parameter variations in the system model. Real-time tests conducted in a hardware-in-the-loop environment validate the effectiveness of the proposed control approach across various operating conditions

    Refining the inventory of the vascular flora of Italy: Unconfirmed, doubtful, excluded or extinct taxa

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    Influence of excitonic coupling, static disorder, and coherent dynamics in action-2D electronic spectroscopy of a molecular dimer model

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    We investigate the spectral features of Action-2D Electronic Spectroscopy (A-2DES) using a molecular dimer model across different regimes of excitonic coupling. By explicitly including a second-excited state for each chromophore, we simulate A-2DES spectra ranging from the non-interacting limit to the strong-coupling case, focusing on the significance of cross peaks. While for weak excitonic coupling, cross peaks can be understood as the incoherent mixing of linear signals of the two chromophores, these features reflect excitonic delocalization as the coupling increases. We highlight that A-2DES offers enhanced sensitivity to coherent excited-state dynamics, particularly in the intermediate-coupling regime, where it provides higher contrast compared to its coherent-detected counterpart. Finally, we show the different influences of static disorder on the line shapes of diagonal and cross peaks. Notably, since cross peaks exhibit rephasing capability for increasing excitonic coupling, the contribution of incoherent mixing becomes less significant in inhomogeneous samples. These findings support the potential of A-2DES for investigating excitonic dynamics in small multi-chromophoric systems

    The Most Appropriate Imaging Analysis in Pyelonephritis and Its Complications: Clinical Evidence

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    Background. Although renal ultrasound or computed tomography (CT) without contrast may allow the diagnosis of complicated acute pyelonephritis (PN), they may fail to diagnose renal abscesses and complicated PN, which is allowed by the upper level imaging: contrast CT or Nuclear Magnetic Resonance (MRI). Case presentation. We report three clinical cases of patients admitted to the Nephrology, Dialysis and Transplantation Unit at Padua University Hospital in which renal ultrasound (US) and Computed Tomography (CT) without contrast failed to allow diagnosis of PN complications, while contrast CT showed renal abscesses in two patients and Nuclear Magnetic Resonance (NMR) without contrast a frank PN in one. Conclusion. Contrast CT or MRI should be preferred to renal US and/or CT without contrast and are the most indicated imaging analyses to be prescribed in acute complicated PN, in particular in the presence of acute kidney injury

    Political ideology and sustainable eating: The role of values, disgust sensitivity, and food neophobia.

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    This chapter examines how political ideologies shape pro-environmental behaviors and sustainable food choices. Liberals tend to support environmental actions, while conservatives prioritize economic growth and stability. Here, we explain these ideological differences through various frameworks (such as system justification theory [SJT] and social dominance orientation [SDO]), emphasizing distinct values and moral beliefs. For instance, liberals prioritize openness, self-transcendence, and individualizing values promoting sustainability and ethical food choices; conversely, conservatives emphasize conservation, self-enhancement, and binding moral foundations, which increase support for traditional practices and induce resistance to sustainable alternatives. Additionally, food neophobia and disgust sensitivity play significant roles, as conservatives tend to exhibit higher levels of both, resulting in a reluctance to embrace novel sustainable food options, such as plant-based or lab-grown alternatives. In conclusion, we outline several relevant mechanisms, linked to political ideology, that have a crucial role in shaping attitudes and behaviors regarding sustainable food choices, underlining the importance of tailored communication strategies to promote effective behavioral change

    “Of Marine Mammal Neuroscience and Men”: Needs and Perspectives in Marine Mammal Neuroscience

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    As neuroscience techniques become increasingly sophisticatedand accessible, their application to marine mammal research remainsunderdeveloped and fragmented. Cetacean and pinniped brains exhibit remarkableevolutionary specializations; yet systematic, reproducible data across speciesare scarce. Ethical, logistical, and methodological constraints hinder samplingand analysis of central nervous system tissues, often limiting studies to smallcohorts and reducing diagnostic accuracy in neuropathological investigations.Gaps persist in understanding neuroanatomical organization, pathogeneticmechanisms of neurodegeneration, and the effects of acoustic and environmentalstressors on brain health. Noninvasive neuroimaging methods such as post-mortemmagnetic resonance imaging and diffusion-weighted imaging offer promise butsuffer from incompatible protocols and limited standardization. In-vitro andmolecular techniques including cellular reprogramming may provide new avenuesfor translational research if harmonized approaches are adopted. We identify a criticalneed for coordinated efforts to standardize best practice protocols for the sampling, storage and systematic analyses of marine mammal nervous tissues. To this end, we propose the formation of an inclusive, multidisciplinary network and invitecollaboration through our Open Science Framework project. By aligning methodologies and broadeninginternational partnerships, we aim to transform marine mammal neuroscience intoa robust contributor to comparative neurobiology and environmental healthmonitoring. This is a call to action to collectively grow this emerging field

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