Ni-catalysed acceptorless dehydrogenative aromatisation of cyclohexanones enabled by concerted catalysis specific to supported nanoparticles by Takehiro Matsuyama, Takafumi Yatabe, Tomohiro Yabe, Kazuya Yamaguchi

“…Through various experiments, we demonstrate that the present reaction was achieved by the concerted catalysis utilizing metal ensembles unique to supported metal nanoparticle catalysts.…”
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Nonequilibrium Dynamics of Charged Dual-Unitary Circuits by Alessandro Foligno, Pasquale Calabrese, Bruno Bertini

“…In contrast to the known class of solvable states, which relax to the infinite-temperature state, these states relax to a family of nontrivial generalized Gibbs ensembles. The relaxation process of these states can be simply described by a linear growth of the entanglement entropy followed by saturation to a nonmaximal value but with maximal entanglement velocity. …”
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EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK by I. I. Titov, A. A. Blinov

“…The interaction diversity within the communities of living matter, from bacterial colonies to human societies, makes them inherently more complex than ensembles of particles in inanimate nature. Co-authorship networks are a particular case of intra- and inter-group social interactions. …”
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T T ¯ $$ \textrm{T}\overline{\textrm{T}} $$ deformations from AdS2 to dS2 by Sergio E. Aguilar-Gutierrez, Andrew Svesko, Manus R. Visser

“…We derive the microscopic energy spectrum, heat capacities, and deformed Cardy expressions for the thermodynamic entropy in the canonical and microcanonical ensembles for these two setups. In both setups a signature of the change from AdS to dS is that the heat capacity at a fixed deformation parameter of the boundary system changes sign, indicating the existence of a thermodynamically unstable de Sitter patch. …”
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Multi-level encoding of reward, effort, and choice across the frontal cortex and basal ganglia during cost-benefit decision-making by Oliver Härmson, Isaac Grennan, Brook Perry, Robert Toth, Colin G. McNamara, Timothy Denison, Hayriye Cagnan, Sanjay G. Manohar, Mark E. Walton, Andrew Sharott

“…Coactive cell assemblies, ensembles of neurons that repeatedly coactivated within short time windows (<25 ms), represented the same decision variables despite the members often having diverse individual coding properties. …”
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Quadratic Forms in Random Matrices with Applications in Spectrum Sensing by Daniel Gaetano Riviello, Giusi Alfano, Roberto Garello

“…In particular, recent advancements in spectral characterization of finite-dimensional random matrices from the so-called <i>polynomial ensembles</i> allow for the analysis of several scenarios of interest in wireless communications and signal processing. …”
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Nonreciprocal Synchronization of Active Quantum Spins by Tobias Nadolny, Christoph Bruder, Matteo Brunelli

“…We propose an implementation based on two atomic ensembles coupled via chiral waveguides featuring both braided and nonbraided geometries. …”
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Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…In this paper, we introduce Neon (Neural Epistemic Operator Networks), an architecture for generating predictions with uncertainty using a single operator network backbone, which presents orders of magnitude less trainable parameters than deep ensembles of comparable performance. We showcase the utility of this method for sequential decision-making by examining the problem of composite Bayesian Optimization (BO), where we aim to optimize a function $$f=g\circ h$$ f = g ∘ h , where $$h:X\rightarrow C(\mathscr {Y},{\mathbb {R}}^{d_s})$$ h : X → C ( Y , R d s ) is an unknown map which outputs elements of a function space, and $$g: C(\mathscr {Y},{\mathbb {R}}^{d_s})\rightarrow {\mathbb {R}}$$ g : C ( Y , R d s ) → R is a known and cheap-to-compute functional. …”
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Chaos in the butterfly cone by Márk Mezei, Gábor Sárosi

“…Finally, we comment on the generalization of the chaos bound to boosted and rotating ensembles and clarify some recent results on this in the literature.…”
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Technology Efficacy in Active Prosthetic Knees for Transfemoral Amputees: A Quantitative Evaluation by Amr M. El-Sayed, Nur Azah Hamzaid, Noor Azuan Abu Osman

“…Several studies have presented technological ensembles of active knee systems for transfemoral prosthesis. …”
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Electrosynthesis of NH3 from NO with ampere-level current density in a pressurized electrolyzer by Wenqiang Yang, Huan Liu, Xiaoxia Chang, Yunlong Zhang, Yafeng Cai, Yifan Li, Yi Cui, Bingjun Xu, Liang Yu, Xiaoju Cui, Dehui Deng

“…Here, we report an in situ-formed hierarchical porous Cu nanowire array monolithic electrode ensembled in a pressurized electrolyzer to regulate NORR reaction kinetics and thermodynamics, which delivers an industrial-level NH3 partial current density of 1007 mA cm–2 with Faradaic efficiency of 96.1% and remains stable at 1000 mA cm–2 for 100 hours. …”
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Topological Structure of Manufacturing Industry Supply Chain Networks by Supun S. Perera, Michael G. H. Bell, Mahendrarajah Piraveenan, Dharshana Kasthurirathna, Mamata Parhi

“…Furthermore, compared to randomised ensembles, self-organized topological features were evident in some SCNs in the form of either overrepresented regimes of moderate betweenness firms or underrepresented regimes of low betweenness firms. …”
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Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching by David F. Putrino, Zhe Chen, Soumya Ghosh, Emery N. Brown

“…Neurons in the Primary Motor Cortex (MI) are known to form functional ensembles with one another in order to produce voluntary movement. …”
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An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass by E. Losanno, M. Badi, E. Roussinova, A. Bogaard, M. Delacombaz, S. Shokur, S. Micera

“…Here, we present a preliminary investigation in a monkey of a brain decoding strategy based on the direct coupling between the activity of intrinsic neural ensembles and output variables, aiming at achieving ease of learning and long-term robustness. …”
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Could LC-NE-Dependent Adjustment of Neural Gain Drive Functional Brain Network Reorganization? by Carole Guedj, David Meunier, Martine Meunier, Fadila Hadj-Bouziane

“…Via the temporal dynamic of gamma-range band-limited power, the release of NE could adjust the neural gain, promoting interactions only within the neuronal populations whose amplitude envelopes are correlated, thus making it possible to reorganize neuronal ensembles, functional networks, and ultimately, behavioral responses. …”
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Seasonal forecasting of East African short rains by Agumase Kindie Tefera, Giovanni Liguori, William Cabos, Antonio Navarra

“…We evaluated the predictability of East African short rains using model ensembles from the multi-system seasonal retrospective forecasts from the Copernicus Climate Change Service (C3S). …”
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PHILOSOPHY OF WAR AND PEACE: IN SEARCH OF NEW EUROPEAN SECURITY STRATEGY by O. O. Bazaluk, D. B. Svyrydenko

“…The first objective should include the complex measures for the identification, registration and organization of the system of preventive work with mentalities, in which the pathologies in the structure and function of the neural ensembles of subconsciousness and consciousness are clearly expressed that refract the active principle (as natural force) in aggressive manifestations. …”
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Differential expression of 10 genes in the hypothalamus of two generations of rats selected for a reaction to humans by N. V. Klimova, I. V. Chadaeva, S. G. Shichevich, R. V. Kozhemyakina

“…Phenotypic manifestation of aggressive behavior depends on the coordinated expression of gene ensembles. Nonetheless, the identification of these genes and of combinations of their mutual influence on expression remains a difficult task. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…Subsequently, a deep convolutional feature extraction module, ensembled with a bilayer LSTM module, is deployed to capture both global and local correlations inherent within hyperspectral bands. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…An extensive mutational analysis was undertaken of the complementarity-determining region residues residing in hydrophobic surface patches predicted by spatial aggregation propensity, in conjunction with residue-level solvent accessibility, averaged over conformational ensembles from molecular dynamics simulations. Dynamic light scattering (DLS) was used as a medium throughput screen for self-interaction of ~ 200 anti-GCGR IgG1 variants. …”
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