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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 818-828页

作者： Arturo Román-Messina Alejandro castillo-tapia David A.Román-García Marcos A.Hernández-Ortega Carlos A.Morales-Rergis Claudia M.Castro-Arvizu Center for Research and Advanced Studies(CINVESTAV)of the National Polytechnic Institute of Mexico GuadalajaraJal.45017Mexico Instituto Tecnológico y de Estudios Superiores de Monterrey GuadalajaraJal.45070Mexico Autonomous University of Guadalajara GuadalajaraJal.45129Mexico Centro de Enseñanza Técnica Industrial and he is also with UAGGuadalajaraJal.44638Mexico

The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or *** this paper,a novel conceptual framework for distributed monitoring of power system oscillations using multiblock principal component analysis(MB-PCA)and higher-order singular value decomposition(HOSVD)is proposed to understand,characterize,and visualize the global behavior of the power *** proposed framework can be used to evaluate the influence of a given area or utility on the oscillatory behavior,uncover low-dimensional structures from high-dimensional data,and analyze the effects of heterogeneous data on the modal characteristics and interpretation of power *** metrics are then investigated to examine the relationships between the dynamic patterns and participation of individual data blocks in the global behavior of the *** application of these techniques is demonstrated by case studies of two systems:a 14-machine test system and a 5449-bus 635-generator equivalent model of a large power system.

关键词： Distributed monitoring multiblock principal component analysis(MB-PCA) higher-order singular value decomposition(HOSVD) Tucker decomposition

A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1744-1756页

作者： Oscar castillo Fevrier Valdez Patricia Melin Weiping Ding Tijuana Institute of Technology/Tecnologico Nacional de Mexico Division of Graduate StudiesCalzada Tecnologico S/NTijuana 22414Mexico School of Information Science and Technology Nantong UniversityJiangsu 226019China

In this paper,we offer a review of type-3 fuzzy logic systems and their applications in *** main objective of this work is to observe and analyze in detail the applications in the control area using type-3 fuzzy logic *** this case,we review their most important applications in control and other related topics with type-3 fuzzy *** algorithms have been receiving increasing attention in control and for this reason a review in this area is *** paper reviews the main applications that make use of Intelligent Computing ***,type-3 fuzzy logic *** aim of this research is to be able to appreciate,in detail,the applications in control systems and to point out the scientific trends in the use of Intelligent Computing *** is done with the construction and visualization of bibliometric networks,developed with VosViewer Software,which it is a free Java-based program,mainly intended to be used for analyzing and visualizing bibliometric *** this tool,we can create maps of publications,authors,or journals based on a co-citation network or construct maps of keywords,countries based on a co-occurrence networks,research groups,etc.

关键词： Applications control systems optimization review type-3 fuzzy logic.

Genetic and epigenetic targets of natural dietary compounds as anti-Alzheimer's agents

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Neural Regeneration Research 2024年第4期19卷 846-854页

作者： Willian Orlando castillo-Ordoñez Nohelia Cajas-Salazar Mayra Alejandra Velasco-Reyes Facultad de Ciencias Naturales-Exactas y de la Educación Departamento de Biología.Universidad del Cauca Departamento de Estudios Psicológicos Universidad Icesi

Alzheimer’s disease is a progressive neurodegenerative disorder and the most common cause of dementia that principally affects older *** factors,such as oxidative stress,an increase in acetylcholinesterase activity,mitochondrial dysfunction,genotoxicity,and neuroinflammation are present in this syndrome,which leads to *** pathologies such as Alzheimer’s disease are considered late-onset diseases caused by the complex combination of genetic,epigenetic,and environmental *** are two main types of Alzheimer’s disease,known as familial Alzheimer’s disease(onset<65 years)and late-onset or sporadic Alzheimer’s disease(onset≥65 years).Patients with familial Alzheimer’s disease inherit the disease due to rare mutations on the amyloid precursor protein(APP),presenilin 1 and 2(PSEN1 and PSEN2)genes in an autosomaldominantly fashion with closely 100%*** contrast,a different picture seems to emerge for sporadic Alzheimer’s disease,which exhibits numerous non-Mendelian anomalies suggesting an epigenetic component in its ***,the fundamental pathophysiological mechanisms driving Alzheimer’s disease are interfaced with epigenetic ***,the dynamic nature of epigenetics seems to open up new avenues and hope in regenerative neurogenesis to improve brain repair in Alzheimer’s disease or following injury or stroke in *** recent years,there has been an increase in interest in using natural products for the treatment of neurodegenerative illnesses such as Alzheimer’s *** epigenetic mechanisms,such as DNA methylation,non-coding RNAs,histone modification,and chromatin conformation regulation,natural compounds appear to exert neuroprotective *** we do not purport to cover every in this work,we do attempt to illustrate how various phytochemical compounds regulate the epigenetic effects of a few Alzheimer’s disease-related genes.

关键词： Alzheimer’s disease epigenetics genes methylation natural products

Artificial Intelligence Based on Resilient Leadership in the Health Sector-A Secondary Publication

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Proceedings of Business and Economic Studies 2024年第2期7卷 222-233页

作者： Elaine Bastidas tapia Dr.Rafael Belloso Chacin University Venezuela

At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many *** to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among *** is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the *** is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.

关键词： Artificial intelligence Resilient leadership Health sector

Prevalence and ecological factors affecting the distribution of plant-parasitic nematodes in Prunus groves in Spain

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Journal of Integrative Agriculture 2024年第2期23卷 566-589页

作者： Ilenia Clavero-Camacho Antonio Archidona-Yuste Carolina Cantalapiedra-Navarrete Pablo castillo Juan Emilio Palomares-Rius Institute for Sustainable Agriculture(IAS) Spanish National Research Council(CSIC)Córdoba 14004Spain Andalusian Institute of Agricultural and Fisheries Research and Training(IFAPA) Centro Alameda del ObispoCórdoba 14004Spain

A wide survey was conducted to study plant-parasitic nematodes(PPNs)associated with Prunus groves in *** research aimed to determine the prevalence and distribution of PPNs in Prunus groves,as well as the influence of explanatory variables describing soil,climate and agricultural management in structuring the variation of PPNs community composition.A total of 218 sampling sites were surveyed and 84 PPN species belonging to 32 genera were identified based of an integrative taxonomic *** species considered as potential limiting factors in Prunus production,such as Meloidogyne arenaria,***,***,Pratylenchus penetrans and ***,were identified in this *** soil physico-chemical(C,Mg,N,Na,OM,P,pH and clay,loamy sand and sandy loam texture classes),four climate(Bio04,Bio05,Bio13 and Bio14)and four agricultural management variables(grove-use history less than 10 years,irrigation,apricot seedling rootstock,and Montclar rootstock)were identified as the most influential variables driving spatial patterns of PPNs *** particular,younger plantations showed higher values for species richness and diversity indices than groves cultivated for more than 20 years with Prunus *** study increases the knowledge of the distribution and prevalence of PPNs associated with Prunus rhizosphere,as well as on the influence of explanatory variables driving the spatial structure PPNs communities,which has important implications for the successful design of sustainable management strategies in the future in this agricultural system.

关键词： nematodes Meloidogyne Pratylenchus Paratylenchus rootstock distribution soil grove-use almond peach

Maximizing Resource Efficiency in Cloud Data Centers through Knowledge-Based Flower Pollination Algorithm (KB-FPA)

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Computers, Materials & Continua 2024年第6期79卷 3757-3782页

作者： Nidhika Chauhan Navneet Kaur Kamaljit Singh Saini Sahil Verma Kavita Ruba Abu Khurma Pedro A.castillo University Institute of Computing Department Chandigarh UniversityPunjab140413India Department of Computer Science and Engineering Chandigarh UniversityPunjab140413India Universidade Federal do Piauí TeresinaPiauí64049-550Brazil MEU Research Unit Faculty of Information TechnologyMiddle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Department of Computer Engineering Automatics and RoboticsUniversity of GranadaGranada18071Spain

Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates *** paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing *** motivation stems from the pressing issue of accommodating fluctuating levels of user demand *** adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy *** reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing *** enhance the resource allocation process,we introduce a novel knowledge-based optimization *** this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly *** findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption *** paper underscores the profound significance of resource allocation in the realm of cloud *** addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing *** contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.

关键词： Cloud computing resource allocation energy consumption optimization algorithm flower pollination algorithm

Beyond wrecking a wall:revisiting the concept of blood–brain barrier breakdown in ischemic stroke

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Neural Regeneration Research 2025年第7期20卷 1944-1956页

作者： Julia castillo-González Elena González-Rey Institute of Parasitology and Biomedicine Lopez-Neyra(IPBLN) CSICPT SaludGranadaSpain

The blood–brain barrier constitutes a dynamic and interactive boundary separating the central nervous system and the peripheral *** tightly modulates the ion transport and nutrient influx,while restricting the entry of harmful factors,and selectively limiting the migration of immune cells,thereby maintaining brain *** the well-established association between blood–brain barrier disruption and most neurodegenerative/neuroinflammatory diseases,much remains unknown about the factors influencing its physiology and the mechanisms underlying its ***,the role of blood–brain barrier breakdown in the translational failure underlying therapies for brain disorders is just starting to be *** review aims to revisit this concept of“blood–brain barrier breakdown,”delving into the most controversial aspects,prevalent challenges,and knowledge gaps concerning the lack of blood–brain barrier *** moving beyond the oversimplistic dichotomy of an“open”/“bad”or a“closed”/“good”barrier,our objective is to provide a more comprehensive insight into blood–brain barrier dynamics,to identify novel targets and/or therapeutic approaches aimed at mitigating blood–brain barrier ***,in this review,we advocate for considering the diverse time-and location-dependent alterations in the blood–brain barrier,which go beyond tight-junction disruption or brain endothelial cell breakdown,illustrated through the dynamics of ischemic stroke as a case *** this exploration,we seek to underscore the complexity of blood–brain barrier dysfunction and its implications for the pathogenesis and therapy of brain diseases.

关键词： blood–brain barrier disruption drug delivery ischemic stroke neuroinflammation tight-junctions

Design of a Novel Exoskeleton with Passive Magnetic Spring Self-locking and Spine Lateral Balancing

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Journal of Bionic Engineering 2024年第1期21卷 236-255页

作者： Jhon F.Rodríguez-León Betsy D.M.Chaparro-Rico Daniele Cafolla Francesco Lago Eduardo castillo-Castañeda Giuseppe Carbone Centro de Investigacion en Ciencia Aplicada y Tecnologia Avanzada Unidad Querétaro MecatronicaInstituto Politécnico NacionalCerro Blanco 14176090 Colinas del CimatarioQuerétaroMexico Department of Mechanical Energy and Management EngineeringUniversity of CalabriaVia P.Bucci Cubo 46 C87036 RendeItaly Faculty of Science and Engineering Department of Computer ScienceSwansea UniversitySwanseaUK CESTER University of Cluj-NapocaCluj-NapocaRomania

This paper proposes a new upper-limb exoskeleton to reduce worker physical *** proposed design is based on a novel PRRRP(P-Prismatic;R-Revolute)kinematic chain with 5 passive Degrees of Freedom(DoF).Utilizing a magnetic spring,the proposed mechanism includes a specially designed locking mechanism that maintains any desired task *** proposed exoskeleton incorporates a balancing mechanism to alleviate discomfort and spinal torsional effects also helping in limb weight *** paper reports specific models and simulations to demonstrate the feasibility and effectiveness of the proposed *** experimental characterization is performed to validate the performance of the mechanism in terms of forces and physical strain during a specific application consisting of ceiling-surface drilling *** obtained results preliminarily validate the engineering feasibility and effectiveness of the proposed exoskeleton in the intended operation task thereby requiring the user to exert significantly less force than when not wearing it.

关键词： Assistive mechanism Exoskeleton Locking mechanism Bionic robot

Gut microbiota in preterm infants receiving breast milk or mixed feeding

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World Journal of Clinical Pediatrics 2024年第2期13卷 135-145页

作者： Sandra Gabriela Sánchez-González Bárbara Gabriela Cárdenas-del-castillo Elvira Garza-González Gerardo R Padilla-Rivas Isaías Rodríguez-Balderrama Consuelo Treviño-Garza Fernando Félix Montes-tapia Gerardo C Palacios-Saucedo Anthony Gutiérrez-Rodríguez Manuel Enrique de-la-O-Cavazos Department of Pediatrics Hospital Universitario“Dr.JoséEleuterio González”Universidad Autónoma de Nuevo LeónMonterrey 64460Nuevo LeónMéxico Departamento de Bioquímica y Medicina Molecular Universidad Autónoma de Nuevo LeónMonterrey 64460Nuevo LeónMéxico Department of Biochemistry and Molecular Medicine Universidad Autónoma de Nuevo LeónMonterrey 64460Nuevo LeónMéxico Department of Pediatric Surgery Hospital Universitario"Dr.JoséEleuterio González"Monterrey 64460Nuevo LeónMéxico

BACKGROUND Preterm birth is the leading cause of mortality in newborns,with very-low-birthweight infants usually experiencing several *** milk is considered the gold standard of nutrition,especially for preterm infants with delayed gut colonization,because it contains beneficial microorganisms,such as Lactobacilli and *** To analyze the gut microbiota of breastfed preterm infants with a birth weight of 1500 g or *** An observational study was performed on preterm infants with up to 36.6 wk of gestation and a birth weight of 1500 g or less,born at the University Hospital ***éEleuterio González at Monterrey,Mexico.A total of 40 preterm neonates were classified into breast milk feeding(BM)and mixed feeding(MF)groups(21 in the BM group and 19 in the MF group),from October 2017 to June *** samples were collected before they were introduced to any feeding *** full enteral feeding was achieved,the composition of the gut microbiota was analyzed using 16S rRNA gene *** variables were compared using Student’s t-test or using the Mann–Whitney U test for nonparametric ***,evenness,equitability,Margalef’s index,Fisher’s alpha,Chao-1 index,and Shannon’s diversity index were also *** No significant differences were observed at the genus level between the *** comparison indicated higher counts of Alphaproteobacteria and Betaproteobacteria in the initial compared to the final sample of the BM group(P<0.011).In addition,higher counts of Gammaproteobacteria were detected in the final than in the initial sample(P=0.040).According to the Margalef index,Fisher’s alpha,and Chao-1 index,a decrease in species richness from the initial to the final sample,regardless of the feeding type,was observed(P<0.050).The four predominant phyla were Bacteroidetes,Actinobacteria,Firmicutes,and Proteobacteria,with Proteobacteria being the most ***,no significant differences were

关键词： Gut microbiota Human milk Preterm infant Proteobacteria Very low birth weight 16S rRNA

Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns

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Engineering 2024年第8期39卷 74-83页

作者： Usman L.Abbas Yuxuan Zhang Joseph tapia Selim Md Jin Chen Jian Shi Qing Shao Department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA Department of Biosystems and Agricultural Engineering University of KentuckyLexingtonKY 40506USA Institute for Biomedical Informatics Department of Computer ScienceUniversity of KentuckyLexingtonKY 40506USA

Non-ionic deep eutectic solvents(DESs)are non-ionic designer solvents with various applications in catalysis,extraction,carbon capture,and ***,discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES *** search for DES relies heavily on intuition or trial-and-error processes,leading to low success rates or missed *** that hydrogen bonds(HBs)play a central role in DES formation,we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning(ML)models to discover new DES *** first analyze the HB properties of 38 known DES and 111 known non-DES systems using their molecular dynamics(MD)simulation *** analysis reveals that DES systems have two unique features compared to non-DES systems:The DESs have①more imbalance between the numbers of the two intra-component HBs and②more and stronger inter-component *** on these results,we develop 30 ML models using ten algorithms and three types of HB-based *** model performance is first benchmarked using the average and minimal receiver operating characteristic(ROC)-area under the curve(AUC)*** also analyze the importance of individual features in the models,and the results are consistent with the simulation-based statistical ***,we validate the models using the experimental data of 34 *** extra trees forest model outperforms the other models in the validation,with an ROC-AUC of *** work illustrates the importance of HBs in DES formation and shows the potential of ML in discovering new DESs.

关键词： Machine learning Deep eutectic solvents Molecular dynamics simulations Hydrogen bond Molecular design