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A Two-Scale Multi-Physics Deep Learning Model for Smart MEMS Sensors

Journal of Materials Science and Chemical Engineering 2021年第8期9卷 41-52页

作者： josé pablo quesada-molina Stefano Mariani Department of Civil and Environmental Engineering Politecnico di Milano Milano Italy Department of Mechanical Engineering Universidad de Costa Rica Rodrigo Facio Brenes Campus San José Costa Rica

Smart materials and structures, especially those bio-inspired, are often characterized by a hierarchy of length- and time-scales. Smart Micro Electro-Mechanical Systems (MEMS) are also characterized by different physical phenomena affecting their properties at different scales. Data-driven formulations can then be helpful to deal with the complexity of the multi-physics governing their response to the external stimuli, and optimize their performances. As an example, Lorentz force micro-magnetometers working principle rests on the interaction of a magnetic field with a current flowing inside a semiconducting, micro-structured medium. If an alternating current with a properly set frequency is let to flow longitudinally in a slender beam, the system is driven into resonance and the sensitivity to the magnetic field may result largely enhanced. In our former activity, a reduced-order physical model of the movable structure of a single-axis Lorentz force MEMS magnetometer was developed, to feed a multi-objective topology optimization procedure. That model-based approach did not account for stochastic effects, which lead to the scattering in the experimental data at the micrometric length-scale. The formulation is here improved to allow for stochastic effects through a two-scale deep learning model designed as follows: at the material scale, a neural network is adopted to learn the scattering in the mechanical properties of polysilicon induced by its polycrystalline morphology;at the device scale, a further neural network is adopted to learn the most important geometric features of the movable parts that affect the overall performance of the magnetometer. Some preliminary results are discussed, and an extension to allow for size effects is finally foreseen.

关键词： Machine Learning Artificial Neural Networks Polysilicon MEMS Uncer-tainty Quantification Lorentz Force Magnetometer

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Federated Network Intelligence Orchestration for Scalable and Automated FL-Based Anomaly Detection in B5G Networks

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Computers, Materials & Continua 2024年第7期80卷 163-193页

作者： pablo Fernández Saura josé M.Bernabé Murcia Emilio García de la Calera molina Alejandro molina Zarca Jorge Bernal Bernabé Antonio F.Skarmeta Gómez Department of Information and Communications Engineering University of MurciaMurcia30100Spain University Center of Defense Spanish Air Force AcademySan Javier30720Spain

The management of network intelligence in Beyond 5G(B5G)networks encompasses the complex challenges of scalability,dynamicity,interoperability,privacy,and *** are essential steps towards achieving the realization of truly ubiquitous Artificial Intelligence(AI)-based analytics,empowering seamless integration across the entire Continuum(Edge,Fog,Core,Cloud).This paper introduces a Federated Network Intelligence Orchestration approach aimed at scalable and automated Federated Learning(FL)-based anomaly detection in *** leveraging a horizontal Federated learning approach based on the FedAvg aggregation algorithm,which employs a deep autoencoder model trained on non-anomalous traffic samples to recognize normal behavior,the systemorchestrates network intelligence to detect and prevent *** into a B5G Zero-touch Service Management(ZSM)aligned Security Framework,the proposal utilizes multi-domain and multi-tenant orchestration to automate and scale the deployment of FL-agents and AI-based anomaly detectors,enhancing reaction capabilities against *** proposed FL architecture can be dynamically deployed across the B5G Continuum,utilizing a hierarchy of Network Intelligence orchestrators for real-time anomaly and security threat *** includes FL enforcement operations for interoperability and extensibility,enabling dynamic deployment,configuration,and reconfiguration on *** validation of the proposed solution was conducted through dynamic orchestration,FL,and real-time anomaly detection processes using a practical test *** of key performance metrics,leveraging the 5G-NIDD dataset,demonstrates the system’s capability for automatic and near real-time handling of anomalies and attacks,including real-time network monitoring and countermeasure implementation for mitigation.

关键词： Federated learning 6G orchestration anomaly detection security policy

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A Two-Scale Multi-Physics Deep Learning Model for Smart MEMS Sensors

A Two-Scale Multi-Physics Deep Learning Model for Smart MEMS...

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作者： josé pablo quesada-molina Stefano Mariani Department of Civil and Environmental Engineering Politecnico di Milano Department of Mechanical Engineering Universidad de Costa RicaRodrigo Facio Brenes Campus

Smart materials and structures, especially those bio-inspired, are often characterized by a hierarchy of length-and time-scales. Smart Micro Electro-Mechanical Systems（MEMS） are also characterized by different physical phenomena affecting their properties at different scales. Data-driven formulations can then be helpful to deal with the complexity of the multi-physics governing their response to the external stimuli, and optimize their performances. As an example, Lorentz force micro-magnetometers working principle rests on the interaction of a magnetic field with a current flowing inside a semiconducting, micro-structured medium. If an alternating current with a properly set frequency is let to flow longitudinally in a slender beam, the system is driven into resonance and the sensitivity to the magnetic field may result largely enhanced. In our former activity, a reduced-order physical model of the movable structure of a single-axis Lorentz force MEMS magnetometer was developed, to feed a multi-objective topology optimization procedure. That model-based approach did not account for stochastic effects, which lead to the scattering in the experimental data at the micrometric length-scale. The formulation is here improved to allow for stochastic effects through a two-scale deep learning model designed as follows: at the material scale, a neural network is adopted to learn the scattering in the mechanical properties of polysilicon induced by its polycrystalline morphology;at the device scale, a further neural network is adopted to learn the most important geometric features of the movable parts that affect the overall performance of the magnetometer. Some preliminary results are discussed, and an extension to allow for size effects is finally foreseen.

关键词： Machine Learning Artificial Neural Networks Polysilicon MEMS Uncertainty Quantification Lorentz Force Magnetometer

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Prevalence of and risk factors for erectile dysfunction in young nondiabetic obese men:results from a regional study

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Asian Journal of Andrology 2020年第4期22卷 372-378页

作者： María molina-Vega Maite Asenjo-Plaza María joséBanderas-Donaire María Dolores Hernández-Ollero Silvia Rodríguez-Moreno Juan Jálvarez-Millán pablo Cabezas-Sanchez Fernando Cardona-Díaz Juan Alcaide-Torres Lourdes Garrido-Sánchez Daniel Castellano-Castillo Francisco J Tinahones joséC Fernández-García Department of Endocrinology and Nutrition Virgen de la Victoria University Hospital(IBIMA)Málaga UniversityMálaga 29010Spain Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición(CIBEROBN) Instituto de Salud Carlos IIIMadrid 28029Spain Cruz de Humilladero Primary Care Center Málaga 29010Spain Teatinos Primary Care Center Málaga 29010Spain Chemical Sanitary Consulting(CQS Lab) Madrid 28003Spain

Erectile dysfunction(ED),a condition closely related to cardiovascular morbidity and mortality,is frequently associated with *** this study,we aimed to determine the prevalence of ED and evaluate the associated risk factors in a cohort of 254 young(18–49 years)nondiabetic obese(body mass index[BMI]≥30 kg m−2)men from primary *** function(International Index of Erectile Function[IIEF-5]questionnaire),quality of life(Aging Males'Symptoms[AMS scale]),and body composition analysis(Tanita MC-180MA)were *** testosterone was determined using high-performance liquid chromatography–mass *** logistic regression analysis was used to study the factors associated with *** prevalence was 42.1%.Subjects with ED presented higher BMI,waist circumference,number of components of the metabolic syndrome,AMS score,insulin resistance,and a more unfavorable body composition than those without *** logistic regression analysis showed that a pathological AMS score(odds ratio[OR]:4.238,P40%of subjects.A pathological AMS score,the degree of obesity,and age were positively associated with ED,while elevated HDL-cholesterol levels were inversely associated with the odds of presenting *** prospective studies are needed to evaluate the long-term consequences of ED in this population.

关键词： Aging Males'Symptoms score erectile dysfunction International Index of Erectile Function-5 questionnaire obesity testosterone

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Acceptance of living liver donation among medical students: A multicenter stratified study from Spain

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World Journal of Gastroenterology 2016年第25期22卷 5800-5813页

作者： Antonio Ríos Ana Isabel López-Navas Ana Isabel López-López Francisco Javier Gómez Jorge Iriarte Rafael Herruzo Gerardo Blanco Francisco Javier Llorca Angel Asunsolo Pilar Sánchez-Gallegos Pedro Ramón Gutiérrez Ana Fernández María Teresa de Jesús Laura Martínez-Alarcón Alberto Lana Lorena Fuentes Juan Ramón Hernández Julio Virseda josé Yelamos josé Antonio Bondía Antonio Miguel Hernández Marco Antonio Ayala pablo Ramírez Pascual Parrilla International Collaborative Donor Project ('Proyecto Colaborativo Internacional Donante' 30007 Casillas Murcia Spain Department of Surgery Paediatrics Obstetrics and Gynaecology University of Murcia Avenida de las Fuerzas Armadas 30800 Espinardo Murcia Spain Transplant Unit Surgery Service IMIB - Virgen de la Arrixaca University Hospital Carretera Madrid-Cartagena s/n 30120 El Palmar Murcia Spain Regional Transplant Centre Consejeria de Sanidad y Consumo de la Region de Murcia 30008 Ronda de Levante Murcia Spain Hospital Clinico Universitario Virgen de la Arrixaca Departamento de Cirugia General y del Aparato Digestivo Unidad de Trasplantes 30007 Casillas Murcia Spain Department of Psychology Universidad Catolica San Antonio (UCAM) Avenida de los Jeronimos 30107 Guadalupe Murcia Spain Department of Urology San Juan University Hospital of Alicante 03010 Calle Pintor Baeza Alicante Spain Universidad de Granada Avenida del Hospicio s/n 18010 Granada Spain Universidad de Navarra Campus Universitario 31080 Pamplona Navarra Spain Universidad Autonoma de Madrid Ciudad Universitaria de cantoblanco 28049 Madrid Spain Servicio de Cirugia HBP y Trasplante Hepatico Complejo Hospitalario Universitario de Badajoz Hospital Infanta Cristina Avenida Elvas s/n 06006 Badajoz Spain Universidad de Cantabria Avenida los Castros s/n 39005 Santander Cantabria Spain Departamento de Cirugia Ciencias Medicas y Sociales Facultad de Medicina y Ciencias de la Salud Universidad de Alcala Campus Cientifico-Tecnologico Plaza de San Diego s/n 28801 Alcala de Henares Madrid Spain Facultad de Medicina Universidad de Malaga 29071 Avenida de Cervantes Malaga Spain Servicio de Urologia (Complejo Hospitalario Universitario de Canarias CHUC) y Departamento de Cirugia (Universidad de La Laguna ULL) Calle Molinos de Agua s/n 38207 San Cristobal de La Laguna Santa Cruz de Tenerife Spain Departamento de Ciencias Biomedicas Basicas Facultad de Ciencias Biomedicas Universidad Europea de

AIM: To analyze the attitude of Spanish medical students toward living liver donation(LLD) and to establish which factors have an influence on this ***: Study type: A sociological, interdisciplinary, multicenter and observational study. Study population: Medical students enrolled in Spain(n = 34000) in the university academic year 2010-2011. Sample size: A sample of 9598 students stratified by geographical area and academic year. Instrument used to measure attitude: A validated questionnaire(PCID-DVH RIOS) was self-administered and completed anonymously. Data collection procedure: Randomly selected medical schools. The questionnaire was applied to each academic year at compulsory sessions. Statistical analysis: Student′s t test, χ2 test and logistic regression ***: The completion rate was 95.7%(n = 9275). 89%(n = 8258) were in favor of related LLD, and 32%(n = 2937) supported unrelated LLD. The following variables were associated with having a more favorable attitude:(1) age(P = 0.008);(2) sex(P < 0.001);(3) academic year(P < 0.001);(4) geographical area(P = 0.013);(5) believing in the possibility of needing a transplant oneself in the future(P < 0.001);(6) attitude toward deceased donation(P < 0.001);(7) attitude toward living kidney donation(P < 0.001);(8) acceptance of a donated liver segment from a family member if one were needed(P < 0.001);(9) having discussed the subject with one's family(P < 0.001) and friends(P < 0.001);(10) a partner's opinion about the subject(P < 0.001);(11) carrying out activities of an altruistic nature; and(12) fear of the possible mutilation of the body after donation(P < 0.001).CONCLUSION: Spanish medical students have a favorable attitude toward LLD.

关键词： Attitude Living liver donation Medical students Transplantation Organ donation Psychosocial variable

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What is the optimal level of vitamin D in non-dialysis chronic kidney disease population?

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World Journal of Nephrology 2016年第5期5卷 471-481页

作者： pablo molina joséL Górriz Mariola D molina Sandra Beltrán Belén Vizcaíno Verónica Escudero Julia Kanter Ana Iávila Jordi Bover Elvira Fernández Javier Nieto Secundino Cigarrán Enrique Gruss Gema Fernández-Juárez Alberto Martínez-Castelao Juan F Navarro-González Ramón Romero Luis M Pallardó Department of Nephrology Dr Peset University Hospital46017 ValenciaSpain Department of Medicine Universitat de València46005 ValenciaSpain Department of Mathematics Universidad de AlicanteSan Vicente del Raspeig03690 AlicanteSpain Department of Nephrology FundacióPuigvert080348 BarcelonaSpain Department of Nephrology Hospital Uni-versitari de LleidaIRBlleida(Institut de Reserca Biomèdica de Lleida)25198 LleidaSpain Department of Nephrology Hospital General Universitario de Ciudad Real13005 Ciudad RealSpain Department of Nephrology Hospital da Costa Burela7880 LugoSpain Department of Nephrology Hospital Universitario Fundación Alcorcón28922 MadridSpain Department of Nephrology Hospital Universitario de BeellvitgeIDIBELLL'Hospitalet de Llobregat08907 BarcelonaSpain Research Unit and Department of Nephrology University Hospital Nuestra Senora de Candelaria38010 Santa Cruz de TenerifeSpain Department of Medicine Universitat Autònoma de Barcelona08193 BarcelonaSpain

AIM To evaluate thresholds for serum 25(OH)D concentrations in relation to death, kidney progression and hospitalization in non-dialysis chronic kidney disease(CKD) *** Four hundred and seventy non-dialysis 3-5 stage CKD patients participating in OSERCE-2 study, a prospective, multicenter, cohort study, were prospectively evaluated and categorized into 3 groups according to 25(OH)D levels at enrollment(less than 20 ng/mL, between 20 and 29 ng/mL, and at or above 30 ng/mL), considering 25(OH)D between 20 and 29 ng/mL as reference group. Association between 25(OH)D levels and death(primary outcome), and time to first hospitalization and renal progression(secondary outcomes) over a 3-year followup, were assessed by Kaplan-Meier survival curves and Cox-proportional hazard models. To identify 25(OH)D levels at highest risk for outcomes, receiver operating characteristic(ROC) curves were *** Over 29 ± 12 mo of follow-up, 46(10%) patients dead, 156(33%) showed kidney progression, and 126(27%) were hospitalized. After multivariate adjustment, 25(OH)D < 20 ng/mL was an independent predictor of all-cause mortality(HR = 2.33; 95%CI: 1.10-4.91; P = 0.027) and kidney progression(HR = 2.46; 95%CI: 1.63-3.71; P < 0.001), whereas the group with 25(OH)D at or above 30 ng/mL did not have a different hazard for outcomes from the reference group. Hospitalization outcomes were predicted by 25(OH) levels(HR = 0.98; 95%CI: 0.96-1.00; P = 0.027) in the unadjusted Cox proportional hazards model, but not after multivariate adjusting. ROC curves identified 25(OH)D levels at highest risk for death, kidney progression, and hospitalization, at 17.4 ng/mL [area under the curve(AUC) = 0.60; 95%CI: 0.685-0.69; P = 0.027], 18.6 ng/mL(AUC = 0.65; 95%CI: 0.60-0.71; P < 0.001), and 19.0 ng/m L(AUC = 0.56; 95%CI: 0.50-0.62; P = 0.048), ***25(OH)D < 20 ng/mL was an independent predictor of death and progression in patients with stage 3-5 CKD, with no addit

关键词： Vitamin D Chronic kidney disease Mortality Renal progression Hospitalization

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