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Olfactory receptors in neural regeneration in the central nervous system

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Neural Regeneration Research 2025年第9期20卷 2480-2494页

作者： rafael Franco Claudia garrigós Toni Capó Joan Serrano-Marín rafael Rivas-Santisteban Jaume Lillo Molecular Neurobiology Laboratory Department of Biochemistry and Molecular BiomedicineFacultat de BiologiaUniversitat de BarcelonaBarcelonaSpain CiberNed Network Center for Biomedical Research in Neurodegenerative Diseases Spanish National Health Institute Carlos ⅢMadridSpain School of Chemistry Universitat de BarcelonaBarcelonaSpain Department of Biochemistry and Physiology School of Pharmacy and Food SciencesUniversitat de BarcelonaBarcelonaSpain Laboratory of Computational Medicine Biostatistics UnitFaculty of MedicineAutonomous University of BarcelonaCampus BellaterraBarcelonaSpain

Olfactory receptors are crucial for detecting odors and play a vital role in our sense of smell,influencing behaviors from food choices to emotional *** receptors also contribute to our perception of flavor and have potential applications in medical diagnostics and environmental *** ability of the olfactory system to regenerate its sensory neurons provides a unique model to study neural regeneration,a phenomenon largely absent in the central nervous *** gained from how olfactory neurons continuously replace themselves and reestablish functional connections can provide strategies to promote similar regenerative processes in the central nervous system,where damage often results in permanent *** the molecular and cellular mechanisms underpinning olfactory neuron regeneration could pave the way for developing therapeutic approaches to treat spinal co rd injuries and neurodegenerative diseases like Alzheimer's *** ctory receptors are found in almost any cell of eve ry orga n/tissue of the mammalian *** ectopic expression provides insights into the chemical structures that can activate olfactory *** addition to odors,olfactory receptors in ectopic expression may respond to endogenous compounds and molecules produced by mucosal colonizing *** analysis of the function of olfactory receptors in ectopic expression provides valuable information on the signaling pathway engaged upon receptor activation and the receptor's role in proliferation and cell differentiation *** review explo res the ectopic expression of olfa ctory receptors and the role they may play in neural regeneration within the central nervous system,with particular attention to compounds that can activate these receptors to initiate regenerative *** suggests that olfactory receptors could serve as potential therapeutic targets for enhancing neural repair and recovery following central nervous syste

关键词： adenosine receptors adrenergic receptors ectopic expression g proteincoupled receptors glia neurons

OPTIMAL DESIgN OF HOUSINg ATTICS WITH INTEgRATED SOLAR COLLECTORS

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Journal of green Building 2017年第4期12卷 3-20页

作者： Rodrigo garcía Alvarado Pedro g.campos Paulina Wegertseder Departmento Diseño y Teoría de la Arquitectura Universidad del Bío-BíoAv.Collao 1202Concepción 4051381Chile Departmento de Sistemas de Información Universidad del Bío-BíoAv.Collao 1202Concepción 4051381Chile Diseño y Teoría de la Arquitectura Universidad del Bío-BíoAv.Collao 1202Concepción 4051381Chile

In order to reduce the increasing energy consumption for the domestic demands of existing single-family housing and take advantage of frequent building enlargements,this paper presents a methodology and supporting software tool for determining the optimal design configuration of an attic with integrated solar *** analysis procedure is based on parametric modeling,energy simulation and the use of evolutionary algorithms for finding optimal *** has been implemented as a Web-platform for public use that provides users with a proposal of an attic shape with maximum solar energy collection,maximum living space and minimum construc-tion envelope for each house according its size and *** attic integrates PV,thermal and hybrid solar panels on one side of the *** paper describes the methodology and software design,asssment of the Web-platform usage and case-studies to verify its *** a matter of minutes,the Web-platform enables users to select a specific attic design for each house that has integrated solar collectors that can produce energy to cover almost 100%of domestic energy *** attics designed provide a nearly 30%increase in living space through the extension of one to four rooms,and the construction cost of the envelope is similar to that of a standard housing extension.

关键词： web platform for attic design integrated solar collectors attic spaces energy consumption of single family housing parametric modeling energy simulation optimal designs

Coarse-graining auto-encoders for molecular dynamics

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npj Computational Materials 2019年第1期5卷 48-56页

作者： Wujie Wang rafael gómez-Bombarelli Department of Materials Science and Engineering Massachusets Institute of Technology77 Massachusetts AvenueCambridgeMA 02319USA

Molecular dynamics simulations provide theoretical insight into the microscopic behavior of condensed-phase materials and,as a predictive tool,enable computational design of new ***,because of the large spatial and temporal scales of thermodynamic and kinetic phenomena in materials,atomistic simulations are often computationally ***-graining methods allow larger systems to be simulated by reducing their dimensionality,propagating longer timesteps,and averaging out fast ***-graining involves two coupled learning problems:defining the mapping from an all-atom representation to a reduced representation,and parameterizing a Hamiltonian over coarse-grained *** propose a generative modeling framework based on variational auto-encoders to unify the tasks of learning discrete coarse-grained variables,decoding back to atomistic detail,and parameterizing coarse-grained force *** framework is tested on a number of model systems including single molecules and bulk-phase periodic simulations.

关键词： dynamics representation steps

Sampling lattices in semi-grand canonical ensemble with autoregressive machine learning

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npj Computational Materials 2022年第1期8卷 588-597页

作者： James Damewood Daniel Schwalbe-Koda rafael gómez-Bombarelli Department of Materials Science and Engineering Massachusetts Institute of Technology77 Massachusetts AvenueCambridgeMA02319USA

Calculating thermodynamic potentials and observables efficiently and accurately is key for the application of statistical mechanics simulations to materials ***,naive Monte Carlo approaches,on which such calculations are often dependent,struggle to scale to complex materials in many state-of-the-art disciplines such as the design of high entropy alloys or multi-component *** address this issue,we adapt sampling tools built upon machine learning-based generative modeling to the materials space by transforming them into the semi-grand canonical ***,we show that the resulting models are transferable across wide ranges of thermodynamic conditions and can be implemented with any internal energy model U,allowing integration into many existing materials *** demonstrate the applicability of this approach to the simulation of benchmark systems (AgPd,CuAu) that exhibit diverse thermodynamic behavior in their phase ***,we discuss remaining challenges in model development and promising research directions for future improvements.

关键词： canonical thermodynamic directions

Analysis of synchronization in a supermarket refrigeration system

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Control Theory and Technology 2014年第2期12卷 154-162页

作者： rafael WISNIEWSKI John LETH Jakob g. RASMUSSEN Department of Electronic Systems Aalborg University Eredrik Bajers Vej 7C 9220 Aalborg Denmark Department of Mathematical Sciences Aalborg University Fredrik Bajers Vej 7G 9220 Aalborg Denmark

In a supermarket refrigeration, the temperature in a display cases. This leads to a synchronous operation of all display cases, case, surprisingly, influences the temperature in other display in which the expansion valves in the display cases turn on and off at exactly the same time. This behavior increases both the energy consumption and the wear of components. Besides this practical importance, from the theoretical point of view, synchronization, likewise stability, Zeno phenomenon, and chaos, is an interesting dynamical phenomenon. The study of synchronization in the supermarket refrigeration systems is the subject matter of this work. For this purpose, we model it as a hybrid system, for which synchronization corresponds to a periodic trajectory. To examine whether it is stable, we transform the hybrid system to a single dynamical system defined on a torus. Consequently, we apply a Poincare map to determine whether this periodic trajectory is asymptotically stable. To illustrate, this procedure is applied for a refrigeration system with two display-cases.

关键词： Synchronization Hybrid systems Stability Limit cycles Stochastic approximation

3′-UTR of the SARS-CoV-2 genome as a possible source of piRNAs

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genes & Diseases 2023年第3期10卷 668-670页

作者： María Teresa Hernández-Huerta Laura Pérez-campos Mayoral Carlos Alberto Matias-Cervantes Carlos Romero Díaz Eli Cruz Parada Eduardo Pérez-campos Mayoral rafael Baltiérrez-Hoyos Margarito Martínez Cruz gabriel Mayoral Andrade Eduardo Pérez-campos CONACyT Faculty of Medicine and SurgeryAutonomous University“Benito Juárez”of Oaxaca(UABJO)Oaxaca 68020Mexico Research Center Faculty of Medicine UNAM-UABJOAutonomous University“Benito Juárez”of Oaxaca(UABJO)Oaxaca 8020Mexico National Technology of Mexico/IT Oaxaca Oaxaca de JuárezOaxaca 68030Mexico

SARS-CoV-2 is the causal agent of the COVID-19 pandemic. This is a single-stranded RNA beta-coronavirus that is comprised of a 5′ and 3′-untranslated region (UTR) in its non-coding RNA (ncRNA) region. The P-element-induced wimpy testis (PIWI)-interacting RNAs (piRNAs) are ncRNA sequences that bind to transposons and interfere with the translation of new genes. Here, we search for short sequences in the non-coding regions, corresponding to 28 nucleotides (nt). These start from a uracil and have a conserved region of at least 10 nt of homology with the previously reported piRNAs. The aim of this work was to identify piRNA-like sequences in the 3′-UTR of SARS-CoV-2 from the reported Wuhan Patient's genome sequence (genBank: MN908947.3).

关键词： piRNA sequences piRNAs

Raman scattering study of the phonon dispersion in twisted bilayer graphene

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Nano Research 2013年第4期6卷 269-274页

作者： Jessica campos-Delgado Luiz g. Cangado Carlos A. Achete Ado Jorio Jean-Pierre Raskin Institute of Information and Communication Technologies Electronics andApplied Mathematics (ICTEAM) Universite catholique de Louvain Louvain-la-Neuve 1348 Belgium Departamento de Fisica Universidade Federal de Minas Gerais Belo Hofizonte MG 30123-970 Brazil Divisao de Metrologia de Materiais Instituto Nacional de Metrologia Qua/Made e Tecnologia (INMETRO) Xerem RJ 25250-020 Brazil

Bilayer graphene with a twist angle O between the layers generates a superlattice structure known as a Moir6 pattern. This superlattice provides a O-dependent q wavevector that activates phonons in the interior of the Brillouin zone. Here we show that this superlattice-induced Raman scattering can be used to probe the phonon dispersion in twisted bilayer graphene （tBLg）. The effect reported here is different from the widely studied double-resonance in graphene-related materials in many aspects, and despite the absence of stacking order in tBLg, layer breathing vibrations （namely ZO＇ phonons） are observed.

关键词： twisted bilayer graphene Raman spectroscopy phonon branches

Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

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International Journal of Mining Science and Technology 2023年第5期33卷 555-571页

作者： Alberto Fernández JoséA.Sanchidrián Pablo Segarra Santiago gómez Enming Li rafael Navarro Universidad Politécnica de Madrid–ETSI Minas y Energía Spain Universidad de Salamanca–gIR Charrock Spain

A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for *** from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data *** approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their *** prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole *** between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting *** ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.These results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations.

关键词： Drill monitoring technology Rock mass characterization Underground mining Similarity metrics of binary vectors Structural rock factor Machine learning

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

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npj Computational Materials 2023年第1期9卷 49-59页

作者： Aik Rui Tan Shingo Urata Samuel goldman Johannes C.B.Dietschreit rafael gómez-Bombarelli Department of Materials Science and Engineering Massachusetts Institute of TechnologyCambridgeMAUSA Innovative Technology Laboratories AGC IncTokyoJapan Computational and Systems Biology Massachusetts Institute of TechnologyCambridgeMAUSA

Neural networks(NNs)often assign high confidence to their predictions,even for points far out of distribution,making uncertainty quantification(UQ)a *** they are employed to model interatomic potentials in materials systems,this problem leads to unphysical structures that disrupt simulations,or to biased statistics and dynamics that do not reflect the true *** UQ techniques can find new informative data and drive active learning loops for robust ***,a variety of UQ techniques,including newly developed ones,exist for atomistic simulations and there are no clear guidelines for which are most effective or suitable for a given *** this work,we examine multiple UQ schemes for improving the robustness of NN interatomic potentials(NNIPs)through active *** particular,we compare incumbent ensemble-based methods against strategies that use single,deterministic NNs:mean-variance estimation(MVE),deep evidential regression,and gaussian mixture models(gMM).We explore three datasets ranging from in-domain interpolative learning to more extrapolative out-of-domain generalization challenges:rMD17,ammonia inversion,and bulk silica *** is measured across multiple metrics relating model error to *** experiments show that none of the methods consistently outperformed each other across the various *** remained better at generalization and for NNIP robustness;MVE only proved effective for in-domain interpolation,while gMM was better out-of-domain;and evidential regression,despite its promise,was not the preferable alternative in any of the *** broadly,cost-effective,single deterministic models cannot yet consistently match or outperform ensembling for uncertainty quantification in NNIPs.

关键词： ensemble evident neural