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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

Designing nanocarriers to overcome the limitations in conventional drug administration for Parkinson’s disease

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Neural Regeneration Research 2022年第8期17卷 1743-1744页

作者： rafael A.García-Muñoz Joseph McConnell Victoria Morales Raul Sanz Department of Chemical and Environmental Technology Rey Juan Carlos UniversityMadridSpain Department of Chemical&Process Engineering University of StrathclydeGlasgowUK

Neurodegenerative diseases(NDs)have become one of the leading causes of death and disability worldwide,and cause enormous pain and suffering for both patients and their *** of the most common NDs include Alzheimer’s disease,Parkinson’s disease(PD)and Huntington’s disease,among others(Feng,2020).PD is a widespread neurodegenerative disease that affects more than 10 million people worldwide(No author listed,2021).The direct cause of the disease is unknown,but it is characterized by the selective degeneration of dopaminergic neurons in the midbrain in the substantia *** leads to the depletion of dopamine(3,4-dihydroxyphenethylamine,DA)in the striatum of patients,in addition to the existence of abnormalα-synuclein in nerve cells and the development of toxic protein aggregates in neurons called Lewy bodies,which causes muscle stiffness,slowness of movements and *** is believed that a combination of genetic and environmental factors may be the cause of PD,but the exact reason for the disease is not yet fully understood.

关键词： Huntington degeneration overcome

Climate-driven variations in productivity reveal adaptive strategies in Iberian cork oak agroforestry systems

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Forest Ecosystems 2022年第1期9卷 83-93页

作者： José Carlos Pérez-Girón Emilio rafael Díaz-Varela Pedro Álvarez-Álvarez Department of Organisms and Systems Biology Polytechnic School of MieresUniversity of OviedoE-33600MieresAsturiasSpain Research Group on Planning and Management in Complex Adaptive Socio-Ecological Systems(COMPASSES).School of Engineering University of Santiago de CompostelaE-27002LugoSpain

Background:Cork oak agroforestry systems(AFS)have been managed for centuries by humans to produce cork and other goods and services and have recently been recognised as an important reservoir for biodiversity improvement and ***,despite having recently been included as a natural habitat of community-wide interest within the EU Habitats Directive,these systems are in a critical situation of *** other factors,they are strongly threatened by climate change,the effects of which are also expected to be particularly severe in the Mediterranean *** this study,we aimed to evaluate the influence of climate variability by examining primary production indicators and also to analyse whether the geographical location may have a role in the incidence of the adverse effects of ***:Cork oak AFS were identified in the Forest Map of Spain and the Land use map of Portugal and categorized on the basis of canopy *** climate data from 2001 to 2020 were used to model relationships with climate predictors and proximity to the *** analysis was conducted to identify significant spatial clusters of high-and low-efficiency ***:The responses to the influence of climatic conditions differed among the various cork oak AFS categories,particularly in the forest category,which was less dependent on climate *** humidity and water availability were the main drivers of net primary production(NPP).Carbon use efficiency(CUE)was limited by relative humidity and spring temperature in open *** to the coast proved beneficial,especially in years with adverse weather conditions,but was not a limiting factor for survival of the ***,the results of the hotspot analysis supported the other findings,highlighting high-efficiency areas close to the coast and cold spots grouped in specific areas or dispersed ***:Canopy plays a key role in the influence of climatic conditions,particu

关键词： Net primary production Carbon use efficiency Climate Quercus suber Agroforestry system

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

Chemically Induced and Light-Independent Cryptochrome Photoreceptor Activation

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Molecular Plant 2008年第1期1卷 4-14页

作者： Gesa Rosenfeldt rafael Munoz Viana Henning D. Mootz Albrecht G. von Arnim Alfred Batschauera FB Biologie-pflanzenphysiologie Philipps-Universitat Karl-von-Frisch-Str. 8 35032 Marburg Germany Universitat Dortmund FB Chemie-Chemische Biologie Otto-Hahn-Str. 6 44227 Dortmund Germany University of Tennessee Department of Biochemistry Cellular and Molecular Biology Waiters Life Sciences M407 Knoxville TN 37996-0840 USA

The cryptochrome photoreceptors of higher plants are dimeric proteins. Their N-terminal photosensory domain mediates dimerization, and the unique C-terminal extension （CCT） mediates signaling. We made use of the human FK506binding protein （FKBP） that binds with high affinity to rapamycin or rapamycin analogs （rapalogs）. The FKBP-rapamycin complex is recognized by another protein, FRB, thus allowing rapamycin-induced dimerization of two target proteins. Here we demonstrate by bioluminescence resonance energy transfer （BRET） assays the applicability of this regulated dimer- ization system to plants. Furthermore, we show that fusion proteins consisting of the C-terminal domain of Arabidopsis cryptochrome 2 fused to FKBP and FRB and coexpressed in Arabidopsis cells specifically induce the expression of cryptochrome-controlled reporter and endogenous genes in darkness upon incubation with the rapalog. These results demonstrate that the activation of cryptochrome signal transduction can be chemically induced in a dose-dependent fashion and uncoupled from the light signal, and provide the groundwork for gain-of-function experiments to study specifically the role of photoreceptors in darkness or in signaling cross-talk even under light conditions that activate members of all photoreceptor families.

关键词： C-terminal extension (CCT) FK506-binding protein (FKBP) bioluminescence resonance energy transfer (BRET)

Bio-inspiration as a Concept for Sustainable Constructions Illustrated on Graded Concrete

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Journal of Bionic Engineering 2019年第4期16卷 742-753页

作者： rafael Horn Stefan Albrecht Walter Haase Max Langer Daniel Schmeer Werner Sobek Olga Speck Philip Leistner Fraunhofer Institute for Building Physics IBP GaBi Stuttgart 70563Germany Institute for Lightweight Structures and Conceptual Design(ILEK’) University of StuttgartStuttgart 70569Germany Plant Biomechanics Group Botanic GardenUniversity of FreiburgFreiburg 79104Germany Institute for Acoustics and Building Physics University of StuttgartStuttgart 70569Germany

The building industry is one of the main contributors to worldwide resource consumption and anthropogenic climate ***,sustainable solutions in construction are particularly *** by the success principles of living nature,biologists and engineers present here an interdisciplinary work:The sustainability assessment of a bio-inspired material technology called graded concrete,which was developed at *** structural materials can be found in plants on different hierarchical levels,providing a multitude of creative solutions for *** concrete applies this biological concept of structural optimization to the interior structure of concrete components to minimize material and resource *** evaluate the sustainability of this innovation,a newly developed quantitative Bio-inspired Sustainability Assessment(BiSA)method is *** focuses on the relationship of environmental,social and economic functions and the corresponding burdens quantified basing on life cycle *** BiSA of graded concrete slabs shows significant improvements over conventional concrete for the applied use *** an overall reduction of environmental burdens by 13%is expected,economic burdens can be reduced by up to 40%and social burdens by 35.7%.The assessment of the graded concrete technology identifies its potential with regard to sustainable *** presented work provides a blueprint for the interdisciplinary,integrative work on sustainable,bio-inspired *** shows that the synergies of bio-inspiration and BiSA within technical product development can be fruitful.

关键词： sustainability assessment bio-inspired sustainability graded concrete biomimetic promise BiSA

Tumor-induced neurogenesis and immune evasion as targets of innovative anti-cancer therapies

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Signal Transduction and Targeted Therapy 2020年第1期5卷 1584-1606页

作者： Rodolfo Daniel Cervantes-Villagrana Damaris Albores-García Alberto rafael Cervantes-Villagrana Sara Judit García-Acevez Department of Pharmacology Center for Research and Advanced Studies of the National Polytechnic Institute(CINVESTAV-IPN)07360 Mexico CityMexico Department of Environmental Health Sciences Florida International University(FIU)MiamiFlorida 33199USA Laboratorio de investigación en Terapéutica Experimental Unidad Académica de Ciencias QuímicasÁrea de Ciencias de la SaludUniversidad Autónoma de Zacatecas(UAZ)ZacatecasMéxico Dirección de Proyectos e Investigación Grupo Diagnóstico Médico Proa06400 CDMX CuauhtémocMéxico

Normal cells are hijacked by cancer cells forming together heterogeneous tumor masses immersed in aberrant communication circuits that facilitate tumor growth and *** the well characterized angiogenic effect of some tumor-derived factors;others,such as BDNF,recruit peripheral nerves and *** neurogenic switch,activated by tumor-derived neurotrophins and extracellular vesicles,attracts adjacent peripheral fibers(autonomic/sensorial)and neural progenitor ***,tumor-associated nerve fibers can guide cancer cell ***,IL-1β,CCL2,PGE2,among other chemotactic factors,attract natural immunosuppressive cells,including T regulatory(Tregs),myeloid-derived suppressor cells(MDSCs),and M2 macrophages,to the tumor *** leukocytes further exacerbate the aberrant communication circuit releasing factors with neurogenic ***,cancer cells directly evade immune surveillance and the antitumoral actions of natural killer cells by activating immunosuppressive mechanisms elicited by heterophilic complexes,joining cancer and immune cells,formed by PD-L1/PD1 and CD80/CTLA-4 plasma membrane ***,nervous and immune cells,together with fibroblasts,endothelial,and bone-marrow-derived cells,promote tumor growth and enhance the metastatic properties of cancer *** by the demonstrated,but restricted,power of anti-angiogenic and immune cell-based therapies,preclinical studies are focusing on strategies aimed to inhibit tumor-induced *** we discuss the potential of anti-neurogenesis and,considering the interplay between nervous and immune systems,we also focus on anti-immunosuppression-based *** molecules,antibodies and immune cells are being considered as therapeutic agents,aimed to prevent cancer cell communication with neurons and leukocytes,targeting chemotactic and neurotransmitter signaling pathways linked to perineural invasion and metastasis.

关键词： PD1 therapies invasion

Role of artificial intelligence in cardiology

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World Journal of Cardiology 2023年第4期15卷 116-118页

作者： rafael Vidal-Perez Jose Manuel Vazquez-Rodriguez Servicio de Cardiología Unidad de Imagen y Función CardíacaComplexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos ⅢA Coruña 15006A CoruñaSpain Servicio de Cardiología Complexo Hospitalario Universitario A CoruñaA Coruña 15006A CoruñaSpain

Artificial intelligence(AI)is the process of having a computational program that can perform tasks of human intelligence by mimicking human thought *** is a rapidly evolving transdisciplinary field which integrates many elements to develop algorithms that aim to simulate human intuition,decision-making,and object *** overarching aims of AI in cardiovascular medicine are threefold:To optimize patient care,improve efficiency,and improve clinical *** cardiology,there has been a growth in the potential sources of new patient data,as well as advances in investigations and therapies,which position the field well to uniquely benefit from *** this editorial,we highlight some of the main research priorities currently and where the next steps are heading us.

关键词： Artificial intelligence Machine learning Deep learning Electrocardiography Cardiac imaging

Calibration methodology for microscopic traffic simulation models of land ports of entry along the US-Mexico border

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第3期11卷 40-59页

作者： David Salgado Peter T.Martin Abhisek Mudgal rafael M.Aldrete Texas A&M Transportation Institute 4050 Rio Bravo Drive Suite 212El Paso 79912USA New Mexico State University Engineering Complex II Rm.215Las Cruces 88003USA Indian Institute of Technology(BHU)Civil Engineering Department Varanasi 221011 Uttar PradeshIndia

Non-commercial Land Ports of Entry(LPOEs)are unique transportation facilities controlling the ingress and egress of passenger vehicles from Mexico to the United States and vice *** calibration of microscopic traffic simulation models of non-commercial LPOEs requires a deep understanding of operational processes and driving behavior at these *** paper provides a methodology to guide modelers in calibrating microscopic traffic simulation models of non-commercial *** methodology establishes a common framework for modeling operational processes and traffic ***,the methodology includes the value of four state variables that characterizes operations of passenger vehicles at non-commercial *** variables are speed,acceleration,deceleration,and *** authors evaluated this methodology using the Otay Mesa non-commercial LPOE as a case *** showed that this methodology could be potentially used to model non-commercial LPOEs along the US-Mexico border and other border regions worldwide.

关键词： Land port of entry microsimulation calibration traffic models car-following models state variables