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Physical activity and amyloid beta in middle-aged and older adults:A systematic review and meta-analysis

Journal of Sport and Health Science 2024年第2期13卷 133-144页

作者： María Rodriguez-Ayllon Patricio Solis-Urra Cristina Arroyo-ávila Miriam álvarez-Ortega pablo molina-garcía Cristina molina-Hidalgo Manuel Gómez-Río Belinda Brown Kirk I.Erickson Irene Esteban-Cornejo Department of Epidemiology Erasmus University Medical Center RotterdamRotterdamGD 3015the Netherlands Department of Physical Education and Sports Faculty of Sport SciencesSport and Health University Research Institute(iMUDS)University of GranadaGranada 18071Spain Faculty of Education and Social Sciences Universidad Andres BelloVina del Mar 2531015Chile Department of Nuclear Medicine Virgen de las Nieves University HospitalInstitute of Biosanitary Research of Granada(IBS)Granada 18014Spain Physical Medicine and Rehabilitation Service Virgen de las Nieves University HospitalInstitute of Biosanitary Research of Granada(IBS)Granada 18014Spain Department of Psychology University of PittsburghPittsburghPA 15260USA Centre for Healthy Ageing Health Futures InstituteMurdoch UniversityMurdochWA 6150Australia School of Medical and Health Sciences Edith Cowan UniversityJoondalupWA 6027Australia Advent Health Research Institute Neuroscience Institute OrlandoOrlandoFL 32803USA Physiopathology of Obesity and Nutrition Research Center(CIBERobn) Institute of Health Carlos Ⅲ(ISCⅢ)Madrid 28029Spain

Background:One of the pathological hallmarks distinguishing Alzheimer’s disease from other dementias is the accumulation of amyloid beta(Aβ).Higher physical activity is associated with decreased dementia risk,and one potential path could be through Aβlevels *** aimed to explore the relationship between physical activity and Aβin middle-aged and older ***:A systematic search of PubMed,Web of Science,PsycINFO,Cochrane Central Register of Controlled Trials,and SPORTDiscus was performed from inception to April 28,*** were eligible if they included physical activity and Aβdata in adults aged 45 years or ***-level metaanalyses of intervention and observational studies were performed to examine the role of physical activity in modulating Aβ***:In total,37 articles were included(8 randomized controlled trials,3 non-randomized controlled trials,4 prospective longitudinal studies,and 22 cross-sectional studies).The overall effect size of physical activity interventions on changes in blood Aβwas medium(pooled standardized mean difference=-0.69,95%confidence interval(95%CI):-1.41 to 0.03;I^(2)=74.6%).However,these results were not statistically significant,and there were not enough studies to explore the effects of physical activity on cerebrospinal fluid(CSF)and brain Aβ.Data from observational studies were examined based on measurements of Aβin the brain using positron emission tomography scans,CSF,and *** physical activity was positively associated with Aβonly in the CSF(Estimate r=0.12;95%CI:0.05-0.18;I^(2)=38.00%).Conclusion:Physical activity might moderately reduce blood Aβin middle-aged and older ***,results were only near statistical significance and might be interpreted with caution given the methodological limitations observed in some of the included *** observational studies,higher levels of physical activity were positively associated with Aβonly in ***,further research is needed t

关键词： Aging Cognitive impairment Dementia Exercise PET

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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 preliminary assay on the mixed culture of red Florida tilapia and freshwater prawn <i>Macrobrachium americanum</i>stocked in outdoor tanks at different tilapia densities

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Agricultural Sciences 2013年第7期4卷 345-352页

作者： ángel Rojo Cebreros Marcelo garcía-Guerrero pablo Apun molina Apolinar Santamaría Miranda Acuacultura de Crustáceos CIIDIR-IPN Oaxaca Santa Cruz Xoxocotlán México Centro de Investigación en Alimentación y Desarrollo A.C. Unidad Mazatlán en Acuicultura y Manejo Ambiental Mazatlán México Departamento de Acuacultura CIIDIR-IPN Unidad Sinaloa Guasave México

Red jumbo tilapia and M. americanum prawns were placed in 1000 L units in polyculture at three different densities of tilapia (4/5, 9/5 and 14/5 m2;tilapia/prawn) during 112 days with initial weight of? 6.5 ± 2.8 g for tilapia and 25.9 ± 8.5 g for prawn. Prawn (0/5 m2) and tilapia (4/0, 9/0 and 14/0 m2) controls were included. Tanks were maintained outdoors and under shade. Total weight gain (WG), daily individual weight gain (DWG), specific growth rate (SGR), survival, production of gross mass and food conversion ratios (FCR), ammonia, nitrite and nitrate, and chlorophyll a were measured in all units. Only prawn weight gain was significantly higher in polyculture. For tilapia, the highest survival at the end of the trial was 94% and the lowest was 75%, while prawns had final survival rates from 43% to 86%. No statistical differences were observed in weight increase among treatments at p ≤ 0.05.

关键词： Native Prawn Tilapia Polyculture Density

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

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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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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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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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Greenlight Photoselective Vaporisation of the Prostate in 133 High Surgical Risk Patients: A 5-Year Outcome Study

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Open Journal of Urology 2013年第2期3卷 90-95页

作者： Ignacio Gómez garcía Marta Romero molina Emilio Rubio Hidalgo Luis álvarez Buitrago Natanael garcía Betancourt Larissa Lara pablo Gutierrez Antonio Sampietro Crespo Fernando álvarez Férnandez Antonio Gómez Rodríguez LMR Group Madrid Spain Urology Service Hospital Río Ortega Valladolid Spain Urology Service Hospital Virgen de la Salud Toledo Spain

Greenlight photoselective vaporisation of the prostate (GPVP) is progressively becoming an established treatment in patients with LUTS because it is a minimally invasive technique that achieves efficient haemostasis, making it the ideal technique for patients at high surgical risk. Material and Methods: To study of 133 patients with an ASA surgical risk score of 3 or 4, undergoing GPVP, with an analysis of perioperative outcome, IPSS, Qmax, IIEF-5 and complications during a five-year follow-up. Results: At 5 years the mean annual improvement in IPSS was stable, and at 5 years there was a 15.2 point improvement versus the preoperative score (p 0.05). The Qmax showed an improvement of 14.9 ml/sec and was maintained at five years after surgery (p 0.05). No patients were transfused or suffered urinary incontinence. 2.25% suffered major complications and there were no deaths. 3.1% of patients suffered de novo urgency. In the 5-year follow-up, five patients had to be reoperated. The quality of sexual health assessed by IIEF-5 before the procedure was scored at 14 points;the 5-year follow-up covering the preoperative period and all revisions did not show any worsening in the IIEF-5 score (p > 0.05). Conclusions: Due to its physical characteristics, in our opinion GPVP is now the treatment of choice in patients at high surgical risk. In our series, the risk of major/minor complications and transfusions was much lower than the same risks in conventional techniques. The objective results (Qmax and quality of life questionnaire) are equivalent to conventional techniques and persist over a 5-year follow-up.

关键词： Greenlight Vaporisation PVP High Risk ASA

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Blood Flow-Restricted Training in Older Adults:A Narrative Review

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Journal of Science in Sport and Exercise 2020年第1期2卷 25-37页

作者： Abel Plaza-Florido Jairo H.Migueles Antonio Piepoli pablo molina-garcia Maria Rodriguez-Ayllon Cristina Cadenas-Sanchez Jose Mora-Gonzalez Irene Esteban-Cornejo Francisco B.Ortega PROFITH"PROmoting FITness and Health Through Physical Activity"Research Group Sport and Health University Research Institute(iMUDS)Department of Physical and Sports EducationFaculty of Sport SciencesUniversity of GranadaCarretera de Alfacars/nCP 18071 GranadaSpain Department of Health Sciences Faculty of Health SciencesUniversity of JaénResearch Group CTS-026:Study Group on Physical ActivityPhysiotherapy and HealthJaénSpain Department of Rehabilitation Sciences KU Leuven-University of LeuvenLeuvenBelgium Department of Psychology Center for Cognitive and Brain HealthNortheastern UniversityBostonMAUSA

Background Low-intensity resistance training(LI-RT)combined with blood flow restriction(BFR)is an alternative to traditional moderate-high-intensity resistance training to increase strength and muscle ***,the evidence about the efficacy of this novel training method to increase strength and muscle mass in healthy and older adults with patholo-gies is ***,the possible risk and adverse effects with BFR training methodology in older adults should be ***(1)To summarize the current evidence on training with BFR strategies in older adults aiming to improve strength and to increase muscle mass;and(2)to provide recommendations for resistance and aerobic training with BFR in older adults based on the studies *** Studies that investigated the chronic responses to resistance training or aerobic training with BFR related to strength and muscle mass changes in older adults were *** independent researchers conducted the search in PubMed,Web of Science,and Google Scholar databases from their inception up to November 1,*** Seventeen out of 35 studies,which performed resistance or aerobic training with BFR in older adults focused on strength and muscle mass outcomes,were included in this *** performing resistance and aerobic train-ing with BFR found better improvements in strength and higher increase in muscle mass compared to non-BFR groups that performed the same training ***-intensity resistance training(HI-RT)without BFR provided greater improvements in strength and a similar increase in muscle mass compared to light-intensity resistance training(LI-RT)with *** Current evidence suggests that LI-RT and/or aerobic training with BFR improves strength and increases muscle mass in older ***-intensity training without BFR would normally not obtain such ***,LI-RT and aerobic training with BFR is an alternative to traditional methods to improve strength an

关键词： Hyertroply Strength Vascular oclusion Reistance raining Elderly aduts

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Linking Climatic Variability with Spatial Performance in Two Varieties of Quinoa Distributed in a Semi-Arid Zone

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American Journal of Plant Sciences 2012年第12期3卷 1682-1687页

作者： Sonia Montecinos pablo Salinas Rómulo Oses Leticia González-Silvestre Marco A. molina-Montenegro Banco Base de Semillas-Instituto de Investigaciones Agropecuarias (INIA) Centro Regional Intihuasi La Serena Chile Centro de Estudios Avanzados en Zonas áridas (CEAZA) Colina El Pino s/n La Serena Chile Centro de Estudios Avanzados en Zonas áridas (CEAZA) Facultad de Ciencias del Mar Universidad Católica del Norte Coquimbo Chile

Different crop varieties can respond in different ways to the climatic variations at local scale. Thus, in order to maximize the yield for a determined crop, the response of different varieties submitted to local climatic conditions should be assessed. The main goal of this study was to evaluate the ecophysiological responses of two varieties of Quinoa (PRP and BO78) submitted to different conditions of thermal amplitude. We performed two experiments in both greenhouse and in 3 sites on experimental-field where were evaluated survival, photochemical efficiency, plant growth and dry biomass in both varieties and compared them with the mean of the thermal conditions recorded during the last 16 years in the Coquimbo Region, Chile. Overall, individuals of BO78 showed higher performance in the sites with lower thermal amplitude than those of PRP. By contrast, in sites with higher thermal amplitude individuals of PRP showed better survival, physiological performance and biomass and therefore higher performance. Our results suggest that while BO78 showed an ecotypic strategy, the PRP showed a plastic strategy to maintain higher performance in sites with moderate and high climatic variability. We consider that under an increase in desertification, semi-arid areas would be available for stress tolerant crops like Quinoa, but the success for the food security in these regions may depend upon the variety used.

关键词： Quinoa Thermal Amplitude Plasticity Ecophysiology Crop Yield

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Novel Kdr mutations (K964R and A943V) in pyrethroid-resistant populations of Triatoma mazzottii and Triatoma longipennisUoro Mexico and detoxifying enzymes

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Insect Science 2019年第5期26卷 809-820页

作者： Jesus Davila-Barboza O.Karina Villanueva-Segura Beatriz Lopez-Monroy Gustavo Ponce-garcia Cristina Bobadilla-Utrera Mayela Montes-Rincon Zinnia J.molina-Garza Juan I.Arredondo-Jimenez Iram P.Rodriguez-Sanchez pablo C.Manrique-Saide Adriana E.Flores Universidad Autonoma de Nuevo Leon (UANL) Facultad de Ciencias BiologicasSan Nicolas de los GarzaNLMexico Laboratorio Estatal de Salud Publica de los Servicios de Salud de Veracruz VeracruzMexico Campus de Ciencias Biologicas y Agropecuarias Unidad Colaborativa para Bioensayos EntomologicosUniversidad Autonoma de YucatanMeridaYucatanMexico

Although having five different ways of transmission the vector-borne is the principal way of transmission of Chagas disease, which involves insects of the subfamily Triatominae (Hemiptera: Reduviidae). Nineteen of the 31 species that occur in Mexico are associated with humans, and all are capable of transmitting the disease. Pyrethroids are the insecticides recommended for the control of these vectors in Mexico. We determined the susceptibility to the pyrethroids dcltamethrin and permethrin of peridomestic populations of Triatoma mazzottii Usinger and two populations of Triatoma longipetmis Usinger in comparison with a reference strain for each species. Bioassays were performed for the determination of the LD50 for both field populations and reference strains. A maximum of 27 fold resistance to deltamethrin was observed in T. mazzottii, meanwhile, for permethrin, T. longipennis from Jalisco show the highest value of 3.19 fold. There was significantly increased activity of esterases in field populations in comparison with their corresponding reference strain. The results of the search of kdr mutations related to the resistance to deltamethrin and permethrin in the evaluated species show the presence of mutations in the field populations, as is the case with individuals of T. mazzottii, for which the mutation was found A943V, and for the two populations of T. longipennis included in this study, we report the presence of the kdr mutation K964R. Evaluation of the various mechanisms involved in resistance to pyrethroids in triatomines from Mexico could guide us to the real justification for insecticide resistance monitoring.

关键词： detoxifying enzymes kdr pyrethroids Triatoma longipennis Triatoma mazzottii

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