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CO₂ Transformation at Controlled Temperature with Lithium Hydroxide Solution and Metallic Lithium

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Journal of Minerals and Materials Characterization and Engineering 2024年第3期12卷 189-203页

作者： Elizabeth Teresita Romero-Guzmán josé Luis Iturbe-García Departamento de Quí mica Gerencia de Ciencias B&#225sicas Instituto Nacional de Investigaciones Nucleares Carretera M&#233xico-Toluca S/N. La Marquesa Ocoyoac&#225c Estado de M&#233xico Mexico

This paper presents a study on CO2 atmospheric transformation which was reacted directly with lithium hydroxide solution and metallic lithium. This solution was obtained through the reaction between metallic lithium and deionized water where hydrogen is produced and by exposing the metal at ambient conditions. In the transformation process, atmospheric CO2 gas reacts directly with LiOH solution, in both cases, the CO2 transformation kinetics was different. For this purpose, reactions between CO2 and LiOH solution were carried out under controlled temperature and the second process only with metallic lithium, which was exposed at room temperature, however, in these two processes lithium carbonate oxide was formed and identified. According to the results, the efficiency in CO2 transformation is a function of temperature value which was variable until completely obtaining the by-product, its XRD characterization indicated the formation only of Li2CO3 in both procedures. Under laboratory conditions lithium compounds selectively reacted with CO2. In the same way, there is an alternative procedure to obtain LiOH and Li2CO3 for different applications in various areas.

关键词： Metallic Lithium Lithium Hydroxide Solution Hydrogen Atmospheric CO2 Transformation Lithium Carbonate

Differential Expression of Genes Related to Fruit Development and Capsaicinoids Synthesis in Habanero Pepper Plants Grown in Contrasting Soil Types

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Phyton-International Journal of Experimental Botany 2024年第2期93卷 151-183页

作者： Eduardo Burgos-Valencia Federico García-Laynes Ileana Echevarría-Machado Fatima Medina-Lara Miriam Monforte-González joséNarváez-Zapata Manuel Martínez-Estévez Unidad de Bioquímica y Biología Molecular de Plantas Centro de Investigación Científica de YucatánCalle 43#130Chuburnáde HidalgoMéridaYucatán97205México Instituto Politécnico Nacional-Centro de Biotecnología Genómica Blvd Del Maestro esq.Elias PiñaReynosaTamaulipas88710México

Habanero pepper(Capsicum chinense Jacq.)is a crop of economic relevance in the Peninsula of *** fruits have a high level of capsaicinoids compared to peppers grown in other regions of the world,which gives them industrial *** is an important factor that affects pepper development,nutritional quality,and capsaicinoid ***,the effect of soil type on fruit development and capsaicinoid metabolism has been little *** work aimed to compare the effect of soils with contrasting characteristics,black soil(BS)and red soil(RS),on the expression of genes related to the development of fruits,and capsaicinoid synthesis using a transcriptomic analysis of the habanero pepper *** growing in RS had bigger fruits and higher expression of genes related to floral development,fruit abscission,and softening which suggests that RS stimulates fruit development from early stages until maturation *** from plants growing in BS had enrichment in metabolic pathways related to growth,sugars,and ***,these fruits had higher capsaicinoid accumulation at 25 days post-anthesis,and higher expression of genes related to the branched-chain amino acids metabolism(ketol-acid reductisomerase KARI),pentose phosphate pathway and production of NADPH(glucose-6-phosphate-1-dehydrogenase G6PDH),and proteasome and vesicular traffic in cells(26S proteasome regulatory subunit T4 RPT4),which suggest that BS is better in the early stimulation of pathways related to the nutritional quality and capsaicinoid metabolism in the fruits.

关键词： Capsicum chinense jacq soil types plant growth environmental conditions fruit quality capsaicinoid metabolism transcriptome

Fungal infections in immunocompromised critically ill patients

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Journal of Intensive Medicine 2024年第3期4卷 299-306页

作者： josé Garnacho-Montero Irene Barrero-García Cristina León-Moya Unidad Clínica de Cuidados Intensivos Hospital Universitario Virgen MacarenaSevillaSpain

Diverse pathogenic fungi can produce severe infections in immunocompromised patients, thereby justifying intensive care unit (ICU) admissions. In some cases, the infections can develop in immunocompromised patients who were previously admitted to the ICU. Aspergillus spp., Pneumocystis jirovecii, Candida spp., and Mucorales are the fungi that are most frequently involved in these infections. Diagnosis continues to be challenging because symptoms and signs are unspecific. Herein, we provide an in-depth review about the diagnosis, with emphasis on recent advances, and treatment of these invasive fungal infections in the ICU setting.

关键词： Invasive aspergillosis Immunocompromised patient Critically ill patient Antifungal Invasive candidiasis Pneumocystis jirovecii

A Probabilistic Description of the Impact of Vaccine-Induced Immunity in the Dynamics of COVID-19 Transmission

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Open Journal of Modelling and Simulation 2024年第2期12卷 59-73页

作者： Javier Blecua Juan Fernández-Recio josé Manuel Gutiérrez Instituto de Ciencias de la Vid y del Vino (ICVV) CSIC-Universidad de La Rioja-Gobierno de La Rioja Logro&#241o Spain Departamento de Matemá ticas y Computaci&#243n Universidad de La Rioja Logro&#241o Spain

The recent outbreak of COVID-19 has caused millions of deaths worldwide and a huge societal and economic impact in virtually all countries. A large variety of mathematical models to describe the dynamics of COVID-19 transmission have been reported. Among them, Bayesian probabilistic models of COVID-19 transmission dynamics have been very efficient in the interpretation of early data from the beginning of the pandemic, helping to estimate the impact of non-pharmacological measures in each country, and forecasting the evolution of the pandemic in different potential scenarios. These models use probability distribution curves to describe key dynamic aspects of the transmission, like the probability for every infected person of infecting other individuals, dying or recovering, with parameters obtained from experimental epidemiological data. However, the impact of vaccine-induced immunity, which has been key for controlling the public health emergency caused by the pandemic, has been more challenging to describe in these models, due to the complexity of experimental data. Here we report different probability distribution curves to model the acquisition and decay of immunity after vaccination. We discuss the mathematical background and how these models can be integrated in existing Bayesian probabilistic models to provide a good estimation of the dynamics of COVID-19 transmission during the entire pandemic period.

关键词： COVID-19 Transmission Dynamics Probabilistic Model Bayesian Analysis Markov Chain Monte Carlo

Permeability Estimation of Shale Oil Reservoir with Laboratory-derived Data: A Case Study of the Chang 7 Member in Ordos Basin

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Applied Geophysics 2024年第3期21卷 440-455,616页

作者： Zhang Lin Gao Li Ba Jing Zhang Meng-Bo joséM.Carcione Liu Wei-Hua School of Earth Sciences and Engineering Hohai UniversityNanjingJiangsu211000 Exploration and Development Research Institute of PetroChina Changqing Oilfield CompanyXi'an Shanxi710018 National Institute of Oceanography and Applied Geophysics(OGS) SgonicoTrieste 34010 Sinopec Geophysical Research Institute NanjingJiangsu211103

The shale oil reservoir within the Yanchang Formations of Ordos Basin harbors substantial oil and gas resources and has recently emerged as the primary focus of unconventional oil and gas exploration and *** to its complex pore and throat structure,pronounced heterogeneity,and tight reservoir characteristics,the techniques for conventional oil and gas exploration and production face challenges in comprehensive implementation,also indicating that as a vital parameter for evaluating the physical properties of a reservoir,permeability cannot be effectively *** study selects 21 tight sandstone samples from the Q area within the shale oil formations of Ordos *** systematically conduct the experiments to measure porosity,permeability,ultrasonic wave velocities,and resistivity at varying confining *** reveal that these measurements exhibit nonlinear changes in response to effective *** using these experimental data and effective medium model,empirical relationships between P-and S-wave velocities,permeability and resistivity and effective pressure are established at logging and seismic ***,relationships between P-wave impedance and permeability,and resistivity and permeability are determined.A comparison between the predicted permeability and logging data demonstrates that the impedance–permeability relationship yields better results in contrast to those of resistivity–permeability *** relationships are further applied to the seismic interpretation of shale oil reservoir in the target layer,enabling the permeability profile predictions based on inverse P-wave *** predicted results are evaluated with actual production data,revealing a better agreement between predicted results and logging data and productivity.

关键词： shale oil reservoir P-wave impedance resistivity permeability rock physics experiment

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

Engineering hyaluronic acid-based nanoassemblies for monoclonal antibody delivery-design,characterization,and biological insights

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Nano Research 2024年第10期17卷 9111-9125页

作者： Ana M.López-Estévez Y.Zhang María Medel Iker Arriaga Lucía Sanjurjo Cristian Huck-Iriart Nicola G.A.Abrescia María J.Vicent Defang Ouyang Dolores Torres María josé Alonso Center for Research in Molecular Medicine and Chronic Diseases(CiMUS) University of Santiago de CompostelaSantiago de Compostela 15782Spain Department of Pharmacology Pharmacy and Pharmaceutical TechnologySchool of PharmacyUniversity of Santiago de CompostelaSantiago de Compostela 15782Spain Health Research Institute of Santiago de Compostela(IDIS) Santiago de Compostela 15782Spain State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences(ICMS)University of MacaoMacao 999078China Polymer Therapeutics Laboratory and CIBERONC Prince Felipe Research Centre Valencia E-46012Spain Structure and Cell Biology of Viruses Lab CIC bioGUNEBasque Research and Technology Alliance(BRTA)Derio 48160Spain ALBA Synchrotron Light Source Experiments DivisionCerdanyola del VallèsBarcelona 08290Spain IKERBASQUE Basque Foundation for ScienceBilbao 48009Spain

The current spotlight of cancer therapeutics is shifting towards personalized medicine with the widespread use of monoclonal antibodies(mAbs).Despite their increasing potential,mAbs have an intrinsic limitation related to their inability to cross cell membranes and reach intracellular *** offers promising solutions to overcome this limitation,however,formulation challenges *** challenges are the limited loading capacity(often insufficient to achieve clinical dosing),the complex formulation methods,and the insufficient characterization of mAb-loaded ***,we present a new nanocarrier consisting of hyaluronic acid-based nanoassemblies(HANAs)specifically designed to entrap mAbs with a high efficiency and an outstanding loading capacity(50%,w/w).HANAs composed by an mAb,modified HA and phosphatidylcholine(PC)resulted in sizes of~100 nm and neutral surface *** modeling identified the principal factors governing the high affinity of mAbs with the amphiphilic HA and *** composition and structural configuration were analyzed using the orthogonal techniques cryogenic transmission electron microscopy(cryo-TEM),asymmetrical flow field-flow fractionation(AF4),and small-angle X-ray scattering(SAXS).These techniques provided evidence of the formation of core-shell nanostructures comprising an aqueous core surrounded by a bilayer consisting of phospholipids and amphiphilic *** vitro experiments in cancer cell lines and macrophages confirmed HANAs’low toxicity and ability to transport mAbs to the intracellular *** reproducibility of this assembling process at industrial-scale batch sizes and the long-term stability was *** conclusion,these results underscore the suitability of HANAs technology to load and deliver biologicals,which holds promise for future clinical translation.

关键词： monoclonal antibody nanoparticles hyaluronic acid characterization particle size computational modeling

Resilience to structural and molecular changes in excitatory synapses in the hippocampus contributes to cognitive function recovery in Tg2576 mice

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Neural Regeneration Research 2024年第9期19卷 2068-2074页

作者： Carolina Aguado Sara Badesso joséMartínez-Hernández Alejandro Martín-Belmonte Rocío Alfaro-Ruiz Miriam Fernández Ana Esther Moreno-Martínez Mar Cuadrado-Tejedor Ana García-Osta Rafael Luján Synaptic Structure Laboratory Instituto de Investigación en Discapacidades Neurológicas(IDINE)Department of Medical SciencesFacultad de MedicinaUniversidad de Castilla-La ManchaCampus BiosanitarioAlbaceteSpain Gene Therapy for Neurological Disease Program Center for Applied Medical Research(CIMA)University of NavarraInstituto de Investigación Sanitaria de Navarra(IdiSNA)PamplonaSpain Pharmacology Unit Department of Pathology and Experimental TherapeuticsFaculty of Medicine and Health SciencesInstitute of NeurosciencesUniversity of BarcelonaBarcelonaSpain Neuropharmacology and Pain Group Neuroscience ProgramInstitut d’InvestigacióBiomèdica de BellvitgeIDIBELLL’Hospitalet de LlobregatSpain Department of Pathology Anatomy and PhysiologySchool of MedicineUniversity of NavarraPamplonaSpain UniversitéGrenoble Alpes Grenoble Institut des NeurosciencesGrenobleFrance

Plaques of amyloid-β(Aβ)and neurofibrillary tangles are the main pathological characteristics of Alzheimer’s disease(AD).However,some older adult people with AD pathological hallmarks can retain cognitive *** the factors that lead to this cognitive resilience to AD offers promising prospects for identifying new therapeutic *** hypothesis focuses on the contribution of resilience to changes in excitatory synapses at the structural and molecular levels,which may underlie healthy cognitive performance in aged AD *** the Morris Water Maze test,we selected resilient(asymptomatic)and cognitively impaired aged Tg2576 *** the enzyme-linked immunosorbent assay showed similar levels of Aβ42 in both experimental groups,western blot analysis revealed differences in tau pathology in the pre-synaptic supernatant *** further investigate the density of synapses in the hippocampus of 16-18 month-old Tg2576 mice,we employed stereological and electron microscopic *** findings indicated a decrease in the density of excitatory synapses in the stratum radiatum of the hippocampal CA1 in cognitively impaired Tg2576 mice compared with age-matched resilient Tg2576 and non-transgenic ***,through quantitative immunoelectron microscopy in the hippocampus of impaired and resilient Tg2576 transgenic AD mice,we uncovered differences in the subcellular localization of glutamate ***,the density of GluA1,GluA2/3,and mGlu5 in spines and dendritic shafts of CA1 pyramidal cells in impaired Tg2576 mice was significantly reduced compared with age-matched resilient Tg2576 and non-transgenic ***,the density of GluA2/3 in resilient Tg2576 mice was significantly increased in spines but not in dendritic shafts compared with impaired Tg2576 and non-transgenic *** subcellular findings strongly support the hypothesis that dendritic spine plasticity and synaptic machinery in the hippocampus play cr

关键词： aging Alzheimer´s disease cognitive hippocampus immunoelectron microscopy resilience synapse

Benchmarks for Pirá2.0,a Reading Comprehension Dataset about the Ocean,the Brazilian Coast,and Climate Change

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Data Intelligence 2024年第1期6卷 29-63页

作者： Paulo Pirozelli Marcos M.josé Igor Silveira Flávio Nakasato Sarajane M.Peres Anarosa A.F.Brandão Anna H.R.Costa Fabio G.Cozman Universidade de São Paulo Ringgold Standard Institution-Instituto de Estudos Avançados Av.370 São Paulo 05508-900Brazil Universidade de São Paulo Ringgold Standard Institution-Instituto de Matemática e Estatística Av.370 São Paulo 05508-900Brazil Universidade de São Paulo Rua Cayowaá876 apto 141SÃO PAULO 05018-001Brazil Universidade de São Paulo Ringgold Standard Institution Escola Politécnica Av.370São Paulo 05508-900Brazil.

Piráis a reading comprehension dataset focused on the ocean,the Brazilian coast,and climate change,built from a collection of scientific abstracts and reports on these *** dataset represents a versatile language resource,particularly useful for testing the ability of current machine learning models to acquire expert scientific *** its potential,a detailed set of baselines has not yet been developed for Pirá.By creating these baselines,researchers can more easily utilize Piráas a resource for testing machine learning models across a wide range of question answering *** this paper,we define six benchmarks over the Pirádataset,covering closed generative question answering,machine reading comprehension,information retrieval,open question answering,answer triggering,and multiple choice question *** part of this effort,we have also produced a curated version of the original dataset,where we fixed a number of grammar issues,repetitions,and other ***,the dataset has been extended in several new directions,so as to face the aforementioned benchmarks:translation of supporting texts from English into Portuguese,classification labels for answerability,automatic paraphrases of questions and answers,and multiple choice *** results described in this paper provide several points of reference for researchers interested in exploring the challenges provided by the Pirádataset.

关键词： Natural language processing Question answering Benchmarks Language resource DomainOriented dataset Scientific knowledge text dataset