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导轨快速连接产品——FASTLINE

中国电梯 2006年第18期17卷 46-48页

作者： jesus sanz 塞维拉集团研发部

我公司最近推出了一种名为Fastline的导轨快速连接产品，并已取得专利。该创新系统显著地改进了导轨安装工序，其主要优点有：（1）减少人工安装的成本；（2）提高了导轨连接处的品质，使其受安装工人的专业水平的影响因素大大降低。

关键词： FASTLINE 快速连接导轨产品 Fastline 安装工序创新系统连接处

Integrating Levels of Hierarchical Organization in Porous Organic Molecular Materials

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Nano-Micro Letters 2024年第5期16卷 134-153页

作者： jesus Ferrando‑Soria Antonio Fernandez Instituto de Ciencia Molecular(ICMol) Universidad de Valencia46980 ValenciaSpain School of Science Loughborough UniversityLoughborough LE113TUUK

Porous organic molecular materials(POMMs)are an emergent class of molecular-based materials characterized by the formation of extended porous frameworks,mainly held by non-covalent *** represent a variety of chemical families,such as hydrogen-bonded organic frameworks,porous organic salts,porous organic cages,C-H···πmicroporous crystals,supramolecular organic frameworks,π-organic frameworks,halogen-bonded organic framework,and intrinsically porous molecular *** some porous materials such as zeolites and metal organic frameworks,the integration of multiscale has been adopted to build materials with multifunctionality and optimized ***,considering the significant role of hierarchy in porous materials and the growing importance of POMMs in the realm of synthetic porous materials,we consider it appropriate to dedicate for the first time a critical review covering both ***,we will provide a summary of literature examples showcasing hierarchical POMMs,with a focus on their main synthetic approaches,applications,and the advantages brought forth by introducing hierarchy.

关键词： Porous organic molecular materials Hierarchy Hydrogen-bonded organic frameworks Porous cages Fullerene

Identification of Patterns of Consumption through the Daily Mean Outdoor Temperature

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World Journal of Engineering and Technology 2017年第3期5卷 20-28页

作者： Aparicio-Ruiz Pablo Guadix-Martin Jose Onieva-Gimenez Luis Cortes-Achedad Pablo Munuzuri-sanz jesus Organization Engineering Group School of EngineeringUniversidad de SevillaCamino de los DescubrimientosSevilleSpain

The identification and recognition of patterns in the context of building is a necessary feedback to create intelligent buildings. In this context, the key is empowering the systems with learning elements to make decisions. The challenge is detected element to predict the human behavior in the building. Daily mean outdoor temperature is one of the variables with incidence in the human comfort due to the weather adaptation of the users. In this paper it analyzed the consumption in an office respect to the internal temperature and the daily mean temperature through cluster techniques. The cluster can be used as a forecasting of consumption.

关键词： Pattern Recognition Identification Clustering Energy

Metabolic reprogramming of the inflammatory response in the nervous system:the crossover between inflammation and metabolism

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Neural Regeneration Research 2024年第10期19卷 2189-2201页

作者： jesus Amo-Aparicio Charles A.Dinarello Ruben Lopez-Vales Department of Medicine University of ColoradoAuroraCOUSA Institute of Neurosciences and Department Cell BiologyPhysiology and ImmunologyUniversitat Autònoma de BarcelonaBellaterraSpain Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos ⅢSpain

Metabolism is a fundamental process by which biochemicals are broken down to produce energy(catabolism) or used to build macromolecules(anabolism). Metabolism has received renewed attention as a mechanism that generates molecules that modulate multiple cellular responses. This was first identified in cancer cells as the Warburg effect, but it is also present in immunocompetent cells. Studies have revealed a bidirectional influence of cellular metabolism and immune cell function, highlighting the significance of metabolic reprogramming in immune cell activation and effector functions. Metabolic processes such as glycolysis, oxidative phosphorylation, and fatty acid oxidation have been shown to undergo dynamic changes during immune cell response, facilitating the energetic and biosynthetic demands. This review aims to provide a better understanding of the metabolic reprogramming that occurs in different immune cells upon activation, with a special focus on central nervous system disorders. Understanding the metabolic changes of the immune response not only provides insights into the fundamental mechanisms that regulate immune cell function but also opens new approaches for therapeutic strategies aimed at manipulating the immune system.

关键词： central nervous system fatty acid oxidation glycolysis inflammation macrophage metabolism microglia neurodegeneration oxidative phosphorylation

Output feedback adaptive super twisting sliding mode control for quadrotor UAVs

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Control Theory and Technology 2024年第1期22卷 92-105页

作者： Oscar Salas-Peña jesus DeLeón-Morales Susana V.Gutiérrez-Martínez École Centrale de Nantes-LS2N UMR 6004 CNRS44300NantesFrance Facultad de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Nuevo León66451San Nicolás de Los GarzaMexico

In this paper, a sliding mode control with adaptive gain combined with a high-order sliding mode observer to solve the tracking problem for a quadrotor UAV is addressed, in presence of bounded external disturbances and parametric uncertainties. The high order sliding mode observer is designed for estimating the linear and angular speed in order to implement the proposed scheme. Furthermore, a Lyapunov function is introduced to design the controller with the adaptation law, whereas an analysis of finite time convergence towards to zero is provided, where sufficient conditions are obtained. Regarding previous works from literature, one important advantage of proposed strategy is that the gains of control are parameterized in terms of only one adaptive parameter, which reduces the control effort by avoiding gain overestimation. Numerical simulations for tracking control of the quadrotor are given to show the performance of proposed adaptive control–observer scheme.

关键词： Adaptive super twisting controller High-order sliding modes observer UAV

Novel umami peptides from two Termitomyces mushrooms and molecular docking to the taste receptor T1R1/T1R3

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Food Science and Human Wellness 2024年第2期13卷 1055-1064页

作者： Lanyun Zhang Li Zhang jesus Pérez-Moreno Lu Bin Fengming Zhang Fuqiang Yu The Germplasm Bank of Wild Species Yunnan Key Laboratory for Fungal Diversity and Green DevelopmentKunming Institute of BotanyChinese Academy of SciencesKunming 650201China College of Chemical Science and Technology Yunnan UniversityKunming 650091China College of Food Science and Technology Yunnan Agricultural UniversityKunming 650201China Colegio Postgraduados Campus MontecilloEdafologíaTexcoco 56230México Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China Southwest Forestry UniversityKunming 650224China

Wild edible Termitomyces mushrooms are popular in Southwest China and umami is important flavor qualities of edible *** study aimed to understand the umami taste of Termitomyces intermedius and Termitomyces *** umami peptides from aqueous extracts were separated using a Sephadex G-15 gel filtration *** intense umami fraction was evaluated by both sensory evaluation and electronic *** were identified as KLNDAQAPK,DSTDEKFLR,VGKGAHLSGEH,MLKKKKLA,SLGFGGPPGY,TVATFSSSTKPDD,AMDDDEADLLLLAM,VEDEDEKPKEK,SPEEKKEEET and *** peptides,except VEDEDEKPKEK,SPEEKKEEET and PEGADKPNK were selectively synthesized to verify their taste *** these 10 peptides had umami or salt *** 10 peptides were conducted by molecular docking to study their interaction with identified peptides and the umami taste receptor T1R1/*** these 10 peptides perfectly docked the active residues in the T1R3 *** results provide theoretical basis for the umami taste and address the umami mechanism of two wild edible Termitomyces mushrooms.

关键词： Termitomyces Non-volatile flavor compounds Umami peptides Taste characteristics Molecular docking

Predicting the clothing insulation through machine learning algorithms:A comparative analysis and a practical approach

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Building Simulation 2024年第5期17卷 839-855页

作者： Pablo Aparicio-Ruiz Elena Barbadilla-Martin Jose Guadix jesus Munuzuri Grupo de Ingenieria de Organizacion Escuela Tecnica Superior de IngenieriaUniversidad de SevillaCamino de los Descubrimientos S/N41092SevilleSpain

Since indoor clothing insulation is a key element in thermal comfort models,the aim of the present study is proposing an approach for predicting it,which could assist the occupants of a building in terms of recommendations regarding their *** that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and *** results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in *** temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing *** comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best *** proposed model provides an efficient method for forecasting the clothing insulation level and its application would entail optimising thermal comfort and energy efficiency.

关键词： clothing insulation simulation adaptive thermal comfort behavioural adaptive actions machine learning

Survival effects of antibiotic exposure during the larval and adult stages in the West Nile virus vector Culex pipiens

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Insect Science 2024年第2期31卷 542-550页

作者： Marta Garrigos Mario Garrido Manuel Morales-Yuste JosuéMartinez-de la Puente jesus Veiga Faculty of Pharmacy Department of ParasitologyUniversity of GranadaGranadaSpain CIBER de Epidemiologia y Salud Publica(CIBERESP) MadridSpain

The ability of mosquitoes to transmit a pathogen is affected,among other factors,by their survival rate,which is partly modulated by their *** microbiota is acquired during the larval phase and modified during their development and adult feeding behavior,being highly dependent on environmental *** residues including antibiotics are widespread pollutants potentially being present in mosquito breeding waters likely affecting their ***,we used Culex pipiens mosquitoes to assess the impact of antibiotic exposure during the larval and adult stages on the survival rate of adult ***-collected larvae were randomly assigned to two treatments:larvae maintained in water supplemented with antibiotics and control *** adults were subsequently assigned to each of two treatments,fed with sugar solution with antibiotics and fed only with sugar solution(controls).Larval exposure to antibiotics significantly increased the survival rate of adult females that received a control *** addition,the effect of adult exposure to antibiotics on the survival rate of both male and female mosquitoes depended on the number of days that larvae fed ad libitum in the laboratory before *** particular,shorter larval ad libitum feeding periods reduced the survival rate of antibiotic-treated adult mosquitoes compared with those that emerged after a longer larval feeding *** differences were not found in control adult *** results extend the current understanding of the impact of antibiotic exposure of mosquitoes on a key component of vectorial capacity,that is the vector survival rate.

关键词： antibiotics avian malaria microbiota mosquitoes vector competence vector survival

Personality Trait Detection via Transfer Learning

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Computers, Materials & Continua 2024年第2期78卷 1933-1956页

作者： Bashar Alshouha jesus Serrano-Guerrero Francisco Chiclana Francisco P.Romero Jose A.Olivas Department of Information Technologies and Systems University of Castilla-La ManchaCiudad Real13071Spain Institute of Artificial Intelligence School of Computer Science and InformaticsDe Montfort UniversityThe GatewayLeicesterLE19BHUK

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human ***-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their *** study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality *** models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term *** makes them suitable to classify multi-label personality traits from reviews while mitigating computational *** focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from ***,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook *** status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality *** test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted *** results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of *** findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality *** findings represent substantial a

关键词： Personality trait detection pre-trained language model big five model transfer learning