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Building the DREAM interactome

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Science China(Life Sciences) 2011年第8期54卷 786-792页

作者： Marcos RIVAS Diego VILLAR Paz GONZLEZ Xosé M.DOPAZO Britt MELLSTROM josé R.naranjo Department of Molecular and Cellular Biology National Center of BiotechnologyConsejo Superior Investigaciones Cientificas Centro Investigacion Biomedica En Red de Enfermedades Neurodegenerativas-Centro Nacional de Biotecnologia

DREAM/calsenilin/KChIP3 is a calcium binding protein of the neuronal calcium sensor *** interacts with DRE(downstream regulatory element) sites in the DNA to regulate transcription and with many proteins to exert specialized functions in different subcellular *** from different laboratories has identified a growing list of interacting proteins that constitutes the DREAM *** knowledge of these interactions has greatly contributed to the understanding of the various physiological functions of DREAM.

关键词： calsenilin KChIP3 protein-protein interaction

The global climate monitor system:from climate data-handling to knowledge dissemination

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International Journal of Digital Earth 2019年第4期12卷 394-414页

作者： Juan Mariano Camarillo-naranjo josé Ignacio Álvarez-Francoso Natalia Limones-Rodríguez María Fernanda Pita-López Mónica Aguilar-Alba Department of Physical Geography and Regional Analysis University of SevilleSevilleSpain Department of Human Geography University of SevilleSevilleSpain

This paper summarizes our work on building a data model and a geovisualization tool that provides access to global climate data:the Global Climate Monitor Web *** to this viewer,a complete set of climate-environmental indicators capable of displaying climate patterns on a global scale that is accessible to any potential user(scientists and laypeople)will be built and published using the same online *** data currently available correspond to the CRU TS3.21 version of the Climate Research Unit(University of East Anglia)database–a product that provides data at a spatial resolution of half of a degree in latitude and longitude,spanning January 1901 to December 2012,on a monthly *** January 2013,the datasets feeding the system have been the GHCN-CAMS temperature dataset and the Global Precipitation Climatology Centre(GPCC)First Guess precipitation ***,hydrologists,planners and non-experts users such as media workers,policymakers,non-profit organizations,teachers or students,can access useful climatological information through the Global Climate Monitor system.

关键词： Geovisualization climate indicators global climate databases open-source software

Recovery Slope of Heart Rate Variability as an Indicator of Internal Training Load

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Health 2019年第2期11卷 211-221页

作者： josé naranjo Orellana Claudio Nieto-Jiménez josé F. Ruso-álvarez Pablo de Olavide University Sevilla Spain Universidad del Desarrollo Santiago Chile

The way in which the Root Mean Square of the Successive Differences between adjacent RR intervals (RMSSD) recovers immediately after exercise could be a good indicator of internal training load (ITL). The aim of this study is to design a recovery index based on RMSSD. Forteen healthy men took part in this study. The experiment lasted 2 weeks, with 4 separate (48 - 72 h) sessions. First session was an incremental treadmill test to determine ventilatory thresholds (VT1 and VT2) and maximal aerobic speed (MAS). Each subject ran at VT1 speed (second day), VT2 speed (third day) and a time-to-exhaustion test at MAS (fourth day). The duration of VT1 and VT2 loads was selected in such a way that the product intensity-duration (training load) was the same. HRV was measured from 10’ prior to test (Rest) to 30’ after completed (Recovery). Recovery slopes were calculated from RMSSD values at 10 and 30 minutes. Borg scale was recorded at the end of every test and the Training Impulse (TRIMP) values were calculated using Banister equations. The RMSSD values dropped substantially regardless of the intensity and the duration of exercise (average 4 ms). The RMSSD recovery was linear during the 30 min and different depending on the intensity of exercise. To propose a recovery index, we calculated the slope of RMSDD over the 30 minutes (slope-30) and also the first 10 minutes (slope-10). Given that the slopes presented an exponential behavior in relation with effort intensity, three curves were obtained (average values, plus SD and minus SD) defining a nomogram. For practical application, we propose: 1) to measure RMSSD the last 5 minutes of exercise and any period of 5 minutes during the first 30 minutes recovery;2) to calculate the slope of RMSSD between exercise and recovery;3) to compare with the nomogram.

关键词： Training Load Recovery Hrv Rmssd Parasympathetic

Mainstreaming the Full ENSO:Linking Present Weather and Future Climate

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International Journal of Disaster Risk Science 2022年第6期13卷 829-841页

作者： Michael H.Glantz Lino naranjo-Diaz Qian Ye Gregory E.Pierce Consortium for Capacity Building(CCB) University of Colorado BoulderBoulderCO 80301USA Integrated Risk Governance Program Beijing Normal UniversityBeijing 100875China

In this article we propose that all countries that are striving to become a Weather-Ready Nation(WRN)would beneft greatly from including El Niño-Southern Oscillation(ENSO)-related research findings into their decision-making processes,not only when an El Niño or a La Niña forecast has been issued *** an aspiring WRN,to beneft from ENSO information,such as disruptive or benefcial changes that could be foreseeably expected to occur in seasonal fow and in sub-seasonal hydrometeorological anomalies,requires its continuous mainstreaming about the status of the ENSO process into a WRN’s decision-making *** ENSO process provides a bridge between sub-seasonal weather anomalies and a sub-decadal climate phenomenon as well as a bridge between coping with weather extremes today and preparing for climate change-related hydrometeorological hazards in the *** extremes every few years provide a chance to evaluate a nation’s strategic and tactical responses to hydrometeorological hazard forecasts and *** successive ENSO extreme and its Neutral phase tests previously designed best *** of today’s youth and young professionals on climate,water,and weather issues has been increasing and will do so in coming *** awareness and attention to ENSO and away from ENSO extremes is *** heightened urgency for understanding the full ENSO“cycle”especially by youth and young professionals today is because they will soon be in professional positions that enable them to advise decision makers about climate policy *** understanding of the ENSO cycle is critically needed,as global warming is expected to continue to increase for the rest of the twentyfrst century.

关键词： ENSO WRN Hydromet Climate change Young professionals

Quasi-Phase Equilibrium Prediction of Multi-Element Alloys Based on Machine Learning and Deep Learning

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Computers, Materials & Continua 2023年第7期76卷 49-64页

作者： Changsheng Zhu Borui Zhao naranjo Villota jose Luis Zihao Gao Li Feng College of Computer and Communication Lanzhou University of TechnologyLanzhou730050China State Key Laboratory of Gansu Advanced Processing and Recycling of Non-Ferrous Metal Lanzhou University of TechnologyLanzhou730050China College of Materials Science and Engineering Lanzhou University of TechnologyLanzhou730050China

In this study,a phase field model is established to simulate the microstructure formation during the solidification of dendrites by taking the Al-Cu-Mg ternary alloy as an example,and machine learning and deep learning methods are combined with the Kim-Kim-Suzuki(KKS)phase field model to predict the quasi-phase *** paper first uses the least squares method to obtain the required data and then applies eight machine learning methods and five deep learning methods to train the quasi-phase equilibrium prediction *** obtaining different models,this paper compares the reliability of the established models by using the test data and uses two evaluation criteria to analyze the performance of these *** work find that the performance of the established deep learning models is generally better than that of the machine learning models,and the Multilayer Perceptron(MLP)based quasi-phase equilibrium prediction model achieves the best *** the Convolutional Neural Network(CNN)based model also achieves competitive *** experimental results show that the model proposed in this paper can predict the quasi-phase equilibrium of the KKS phase-field model accurately,which proves that it is feasible to combine machine learning and deep learning methods with phase-field model simulation.

关键词： Deep learning machine learning quasi-phase equilibrium material simulation

Evidence on antimicrobial activity of essential oils and herbal extracts against Yersinia enterocolitica - A review

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Food Bioscience 2022年第3期47卷 132-144页

作者： Andrea Durofil Naga Raju Maddela Reinier Abreu naranjo Matteo Radice Area de Botánica Del Departamento de Biología y Producción de los Vegetales Facultad de CienciasUniversidad de ExtremaduraBadajozSpain Departamento de Ciencias Biológicas Facultad la Ciencias de la SaludUniversidad Técnica de ManabíPortoviejoEcuador Instituto de Investigación Universidad Técnica de ManabíPortoviejoEcuador Universidad Estatal Amazónica Km 2 ½ Vía Puyo-TenaPuyoEcuador

Yersinia enterocolitica is a very common food-borne pathogen which causes gastrointestinal infections (yersiniosis) in humans and a wide array of animals (***,deer,pigs,and birds).Due to the increasing interest in innovative plant-based substances as common food preservatives,several essential oils and herbal extracts have been investigated deeply that resulted in the emergence of novel anti-Yersinia *** reviewed relevant work done by 53 researchers covering literature from the year 2002 to till *** species such as Origanum vulgare ,Rosmarinus officinalis ,Thymus vulgaris ,Ocimum basilicum have been extensively investigated and identified that 1,8-cineole,linalool and γ-terpinene as compounds found in the essential oils of these plants have anti-Yersinia activity active food packaging *** the same direction,some promising results have been mentioned about the herbal extracts of Murrya koenigii ,Tanacetum vulgare and Tanacetum balsamita,but further investigations are needed for their sustainable *** to hierarchical cluster analysis,we found that Lamiaceae and Lauracea as the most significant families with anti-Yersinia *** the end,we proposed new research trends in order to enhance a global knowledge about the use of natural products against *** .

关键词： Food-borne pathogens Plant-based alternatives Food preservation Active packaging

Interpolation of Vector Measures

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Acta Mathematica Sinica,English Series 2011年第1期27卷 119-134页

作者： Ricardo del CAMPO Antonio FERNANDEZ Fernando MAYORAL Francisco naranjo Enrique A. SANCHEZ-PEREZ Dpto. Matemdtica Aplicada I Universidad de SevillaEUITA Ctra. de Utrera Kin. 1 41013 Sevilla Spain Dpto. Matemdtica Aplicada II Universidad de Sevilla Escuela Tdcnica Superior de Ingenieros Camino de los Descubrimientos s/n 41092 Sevilla Spain Instituto Universitario de Matemdtica Pura y Aplicada Universidad Politdcnica de Valencia Camino de Vera s/n 46022 Valencia Spain

Let （Ω, ∑） be a measurable space and mo ： E→ Xo and m1 ： E → X1 be positive vector measures with values in the Banach KSthe function spaces Xo and X1. If 0 〈 a 〈 1, we define a X01-ax1a new vector measure [m0, m]a with values in the Calderdn lattice interpolation space and we analyze the space of integrable functions with respect to measure [m0, m1]a in order to prove suitable extensions of the classical Stein Weiss formulas that hold for the complex interpolation of LP-spaces. Since each p-convex order continuous Kothe function space with weak order unit can be represented as a space of p-integrable functions with respect to a vector measure, we provide in this way a technique to obtain representations of the corresponding complex interpolation spaces. As applications, we provide a Riesz-Thorin theorem for spaces of p-integrable functions with respect to vector measures and a formula for representing the interpolation of the injective tensor product of such spaces.

关键词： Interpolation Banach function space vector measure

El Nio and the Kppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean

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International Journal of Disaster Risk Science 2018年第2期9卷 224-236页

作者： Lino naranjo Michael H.Glantz Sayat Temirbekov Ivan J.Ramírez Consortium for Capacity Building/INSTAAR University of Colorado Department of Anthropology Colorado State University Colorado School of Public Health Colorado State University

The aim of this pilot study conducted by the consortium for capacity building was to develop a prototype concept and methodology for the classification and visualization of the geographic impacts of El Nio on annual climates and seasonality. Our study is based on the Kppen–Geiger climate classification scheme for a set of selected countries affected by strong El Nios in Latin America. By identifying and visualizing the annual and seasonal changes in regional, national, or subnational climate regimes that generally accompany an El Nio event,this research proposes an efficient way to detect and describe climate shifts and variability across time and space. Such knowledge provides a support tool for risk analysis and can potentially enhance government efforts of climate risk management, including disaster risk reduction activities that prevent, mitigate, and improve coping responses to El Nio-related hydrometeorological *** of the conceptual approach and methodology to classifying and mapping El Nio's impacts are described and explained using the Central American and circumCaribbean region as a case study. The potential applications for disaster risk reduction as well as its limitations and future work are also discussed.

关键词： Caribbean Central America Disaster risk reduction El Nio impacts El Nio seasonality Kppen–Geiger classification

Re-Densification Effect of Pressure-Injected Peptide-Hyaluronic Acid Combination on Male Androgenic Alopecia

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Journal of Cosmetics, Dermatological Sciences and Applications 2024年第1期14卷 29-44页

作者： Pablo naranjo Elite Laser Clinic Madrid Spain

Introduction: Mechanism of male androgenic alopecia (MAGA) is complex and leads to an excessive hair shedding and decreased hair density. Oral, topical, and injectable autologous treatments demonstrate ability to stimulate hair re-growth, but the response is suboptimal or plateaus off. Synthetic combination of the peptide complex and hyaluronic acid (P-HA) demonstrated hair regrowth in alopecia patients. Electronically-operated pneumatic injections (EPI) generate micro-trauma in the dermis and under wound-healing conditions may enhance regeneration effect of P-HA. Methods: Subjects seeking improvement of their male pattern hair loss (Hamilton-Norwood type 2-4) received the P-HA treatments through EPI. The course included 4 treatments every two weeks over the 8-week period. In 6 months, the hair growth was assessed comparative to baseline by global clinical photography and digital phototrichograms. The treatment safety and tolerability were documented through the whole study period. Results: Twelve men (30-45 years old) completed the treatment course with high tolerability and without adverse events. Post-treatment assessment of the previously bald areas showed improved coverage on the clinical photographs. The phototrichograms demonstrated statistically significant increase in terminal hair density by 36%, cumulative hair thickness by 37%, and follicular units by 20%;all contributing to a 38% increase in cumulated hair density (all p Conclusion: Electronic pneumatic injections are well tolerated and can be safely used for the needle-free administration of the peptide-hyaluronic acid combination in MAGA therapy. We achieved significant hair re-densification in the balding scalp. The exact role of the EPI-induced impact in the hair re-growth mechanism remains to be ascertained. .

关键词： Jet Injections Electronic Pneumatic Injections Male Androgenic Alopecia Bioactive Peptides EnerJet