持续关系抽取(Continuous Relation Extraction,CRE)在理解和适应不断变化的数据环境中扮演着至关重要的角色.传统的CRE技术通常面临两大难题:一是关系模式的持续演变,二是遗忘之前学习的关系的风险.尽管存储和重放旧关系典型示例的做...持续关系抽取(Continuous Relation Extraction,CRE)在理解和适应不断变化的数据环境中扮演着至关重要的角色.传统的CRE技术通常面临两大难题:一是关系模式的持续演变,二是遗忘之前学习的关系的风险.尽管存储和重放旧关系典型示例的做法在减少遗忘方面已被证明是有效的,但反复重放这些固定且有限的样本可能导致过拟合.为了解决这一问题,本文提出了一种基于动态原型的持续关系抽取方法.该方法结合了密度聚类和生成式大型语言模型,以应对上述挑战,本文将其命名为密度聚类和生成式大型语言建模(Continuous Relation Extraction with Density based Clustering and Generative Large Language Model,CRE-DCGLLM).具体而言,本文采用了密度聚类技术来提取记忆样本,缓解对先前任务的遗忘问题,并基于全量样本和记忆样本设计了动态关系原型.此外,本文通过生成式大语文模型为记忆样本生成伪样本用于重放训练,以解决因多次重放导致的模型过拟合问题.同时,本文还运用焦点知识蒸馏技术,以提升对变化中关系模式的适应性能.通过在FewRel数据集和TACRED数据集上进行的一系列实验,本文验证了该方法的有效性.实验结果显示,本文的方法在持续关系抽取的准确性和效率方面都取得了显著的提升,特别是在处理相似关系、防止知识遗忘以及克服过拟合等方面表现出了卓越的性能.展开更多
In this study,we analyzed the untapped energy potential of remote mountainous regions in eastern Morocco,thereby addressing the research gap on sustainable electrification in such areas.We proposed a hybrid energy sys...In this study,we analyzed the untapped energy potential of remote mountainous regions in eastern Morocco,thereby addressing the research gap on sustainable electrification in such areas.We proposed a hybrid energy system corresponding to the local conditions and integrated the solar,wind,and biomass energy using batteries and green hydrogen as storage systems,considering the grid as a backup.Simulations conducted using HOMER Pro indicate an annual energy output of 5.6 GWh from solar,6.9 GWh from wind,and 1 GWh from biomass,thereby ensuring 100%renewable self-sufficiency.The system is highly cost-effective and achieves a levelized cost of energy of 0.024$/kWh while significantly reducing the greenhouse gas emissions by over 99%for CO_(2) and 100%for SO_(2).This study presents a sustainable,reliable,and economically viable solution for rural electrification,which concurs with SDG 7.展开更多
Micronutrient deficiency is a significant global issue that results in diets lacking adequate vitamins and minerals.Low nutrient levels are primarily attributed to crops cultivated in soils with insufficient nutrient ...Micronutrient deficiency is a significant global issue that results in diets lacking adequate vitamins and minerals.Low nutrient levels are primarily attributed to crops cultivated in soils with insufficient nutrient concentration and availability,compounded by abiotic stress that adversely affects proper plant growth and development.The introduction of alternative crops through nanotechnology has emerged as a widely adopted strategy for enhancing sustainable crop production.This approach harnesses various nanoparticles,minimizing the environmental impact associated with traditional chemical fertilizers.Ranging in size from 1 to 100 nm,these nanoparticles exhibit diverse morphologies,enabling easy internalization into plants via stomata and roots.Once absorbed,they are transported to the xylem and undergo numerous physiological and metabolic processes.Consequently,employing nanoparticles as nanofertilizers,applicable through foliar or root methods,and pregermination treatments for seeds,represents a promising solution for crop biofortification and,ultimately,addressing global malnutrition concerns.展开更多
Pesticides are chemical substances used to eliminate various pests.Currently,more than two million tons of pesticides are used annually in developing and developed countries.One of the chronic diseases associated with...Pesticides are chemical substances used to eliminate various pests.Currently,more than two million tons of pesticides are used annually in developing and developed countries.One of the chronic diseases associated with pesticide poisoning is diabetes.This review aimed to elucidate the mechanisms of action involved in the development of diabetes after pesticide poisoning.Relevant information was collected between January and May 2024,using databases such as PubMed,Google Academic,and Elsevier.Pesticides reduce the secretion of glucagon-like peptide-1(GLP-1)in the intestine,thereby decreasing the release of insulin.Moreover,pesticides are metabolized to acetic acid by intestinal microbiota.This contributes to gluconeogenesis in the liver.In addition,the accumulation of pesticides in adipose tissue affects pancreatic beta-cells(β-cells)through increases in the levels of proinflammatory cytokines and the release of leptin,resulting in insulin resistance and impairments of appetite control and energy balance.These alterations caused by pesticides can contribute to the development of diabetes by affecting many organic systems.展开更多
The amber sites from the Chiapas Highlands in southwestern Mexico constitute an Oligo-Miocene Amber-Lagerstätte(ca.24 Ma)whose mines and pits at Simojovel,Totolapa,and Estrella de Belén yield exceptionally p...The amber sites from the Chiapas Highlands in southwestern Mexico constitute an Oligo-Miocene Amber-Lagerstätte(ca.24 Ma)whose mines and pits at Simojovel,Totolapa,and Estrella de Belén yield exceptionally preserved fossil inclusions,notably insects from an estuarine wetland.A comprehensive cross-referenced catalog of insects and their close relatives(Arthropoda:Hexapoda)recorded in Mexican amber has been compiled.The catalog comprises 589 fossil records,including 21 orders,180 families,230 genera,and 193 species.Data show the fossil diversity of insects based on 65 years of taxonomic descriptions.The catalog also consists of an online database for consultation and permanent updating.Accordingly,the taxonomic composition of Hexapoda in Oligo-Miocene Mexican amber is a significant addition to the current knowledge of the diversity of Lagerstätte taxa distributed worldwide.展开更多
Mountains are important reservoirs of biodiversity and endemism on a global scale, but little is known about the altitudinal configuration of this diversity and its driving factors in arid mountains. We explored varia...Mountains are important reservoirs of biodiversity and endemism on a global scale, but little is known about the altitudinal configuration of this diversity and its driving factors in arid mountains. We explored variations in composition, diversity, cover,and life forms of vascular plants along a complete altitudinal gradient(1300-4000 m a.s.l) in Sierra de Velasco, an arid mountain in northwestern Argentina.We evaluated the influence of environmental variables on plant diversity and cover. Field sampling was conducted in the northern sector of the Sa. de Velasco,on the western slope in eight 50 m wide altitudinal bands at 400 m elevation intervals. We used rectangular plots(20 × 4 m;n:10/altitudinal band) to register the vascular plants of all the growth forms, and linear transects(20 m long.;n:30/altitudinal band) to quantify the vegetation cover using the point intercept method. Diversity was calculated using hill numbers.Data analysis included non-metric multidimensional scaling(NMDS), indicator species analysis,generalized linear models(GLMs), and variance partitioning analysis. A total of 232 species from 51families and 158 genera were registered. Species composition showed greater similarity at intermediate elevations. Plant diversity and cover exhibited a unimodal distribution, peaking at intermediate elevations(2100-2500 m). In contrast, life forms' distribution showed divergent patterns. Therophytes and succulents predominated at low altitudes,phanerophytes and hemicryptophytes at medium altitudes, and chamaephytes and geophytes at high altitudes. The altitudinal patterns of plant diversity and cover were primarily driven by climatic factors.Conservation efforts in the Sierra de Velasco should focus on the middle and upper zones due to their high biodiversity and vulnerability to climate change.展开更多
Species of the genus Paenibacillus,especially those from extreme environments that have been reported,are known for producing bioactive compounds with agricultural and biotechnological applications.In this study,we in...Species of the genus Paenibacillus,especially those from extreme environments that have been reported,are known for producing bioactive compounds with agricultural and biotechnological applications.In this study,we investigated the genomic and biochemical potential of Paenibacillus sp.VCA1 strain isolated from a thermophilic environment.Taxonomic identification was performed using whole genome similarity analysis,TETRA four-nucleotide frequency of occurrence analysis,ANI average nucleotide identity analysis,and gene distance analysis using digital DNA-DNA hybridization(dDDH).Functional analysis of the strain VCA1 was performed by detecting genes,enzymes,and genome subsystems involved in biocontrol and plant growth promotion,which was carried out using the RAST(Rapid Annotation using Subsystem Technology),the seed server and antiSAMSH(antibiotics&Secondary Metabolite Analysis Shell).Genetic analyses showed the existence of 11 fatty acid and isoprenoid production genes,56 motility and chemotaxis genes,29 N-acetylglucosamine genes,and five siderophore genes.Finally,the antifungal and emulsifying activities demonstrated that strain VCA1 has activity against Fusarium oxysporum strain 45ta using integrated genomic and experimental validation,and the antifungal properties of the Paenibacillus sp.VCA1 has suggested potential use as a biocontrol agent against phytopathogenic fungi,and its continuous study can have beneficial applications in sustainable agriculture and biotechnology.展开更多
Recently,internet users have significantly increased their use of search engines,and market investors are no exception.As a result,predictive models that incorporate scattered web-based information are developing as a...Recently,internet users have significantly increased their use of search engines,and market investors are no exception.As a result,predictive models that incorporate scattered web-based information are developing as an area of forecasting.The objective of this research is to compare the predictive accuracy of fundamental macroeconomic variables,online attention series measured by the Google Trends search volume index,and a combination of both data types for the Mexican,Brazilian,Chilean,and Colombian currencies paired with the USD.The exchange rate series used in this study are sourced from a real-time platform.Four indicators capturing the fundamental macroeconomic differences between these emerging economies and the U.S.from January 2004 to March 2021(monthly)were analyzed.To assess the predictive performance of the KNN algorithm,OLS regression and the random walk with drift model were compared.Considering in-sample predictions,the results generally exhibit lower estimation errors in the random walk with drift model,but in the joint fundamental–online attention data,the KNN and OLS predictions are more accurate than those of the random walk with drift.However,the KNN predictions based on out-of-sample fit generate the lowest estimation errors and the most accurate predictions for the joint fundamental–online attention data.Additionally,performance testing indicates that the KNN extended model outperforms the out-ofsample forecast for the OLS regression and the random walk with drift model.展开更多
Li_(6)ZnO_(4)was chemically modified by nickel addition,in order to develop different compositions of the solid solution Li_(6)Zn_(1-x)Ni_(x)O_(4).These materials were evaluated bifunctionally;analyzing their CO_(2)ca...Li_(6)ZnO_(4)was chemically modified by nickel addition,in order to develop different compositions of the solid solution Li_(6)Zn_(1-x)Ni_(x)O_(4).These materials were evaluated bifunctionally;analyzing their CO_(2)capture performances,aswell as on their catalytic properties for H_(2)production via dry reforming of methane(DRM).The crystal structures of Li_(6)Zn_(1-x)Ni_(x)O_(4)solid solution samples were determined through X-ray diffraction,which confirmed the integration of nickel ions up to a concentration around 20 mol%,meanwhile beyond this value,a secondary phase was detected.These results were supported by XPS and TEM analyses.Then,dynamic and isothermal thermogravimetric analyses of CO_(2)capture revealed that Li_(6)Zn_(1-x)Ni_(x)O_(4)solid solution samples exhibited good CO_(2)chemisorption efficiencies,similarly to the pristine Li_(6)ZnO_(4)chemisorption trends observed.Moreover,a kinetic analysis of CO_(2)isothermal chemisorptions,using the Avrami-Erofeev model,evidenced an increment of the constant rates as a function of the Ni content.Since Ni^(2+)ions incorporation did not reduce the CO_(2)capture efficiency and kinetics,the catalytic properties of thesematerialswere evaluated in the DRM process.Results demonstrated that nickel ions favored hydrogen(H_(2))production over the pristine Li_(6)ZnO_(4)phase,despite a second H2 production reaction was determined,methane decomposition.Thereby,Li_(6)Zn_(1-x)Ni_(x)O_(4)ceramics can be employed as bifunctional materials.展开更多
Bioremediation is an eco-friendly alternative for soil restoration.However,its outcomes are still variable.Different bioremediation strategies were used in a chronically polycyclic aromatic hydrocarbon(PAH)-contaminat...Bioremediation is an eco-friendly alternative for soil restoration.However,its outcomes are still variable.Different bioremediation strategies were used in a chronically polycyclic aromatic hydrocarbon(PAH)-contaminated soil,and no degradation was achieved.This work attempts to study whether the soil bacterial community has the genetic potential for aromatic compound degradation(ACD).While 16S rRNA metabarcoding of that soil showed a predominance of Proteobacteria,shotgun metagenomics indicated that 99.5%of the sequences were taxonomically assigned to Streptomycetales,and almost all genes related to ACD were assigned to the latter.As comprehension of the composition and metabolic potential of a soil community can be enhanced by exploring enrichment cultures of that soil,a culture approach followed by a shotgun metagenomic analysis was performed.These enrichment cultures were obtained by sequential transfers with pyrene conducted every 7(r-EFP)and 28(k-MSP2)d.Both r-EFP and k-MSP2 demonstrated the ability to degrade pyrene and the presence of genes related to ACD.While Pseudomonas and Olivibacter were the predominant genera in r-EFP,Mycobacterium,Chitoniphaga,Bacillus,and Pseudoxanthomonas were predominant in k-MSP2.This study demonstrated the soil bacterial community's potential to degrade PAHs of three and four rings.Therefore,exploration of bioremediation strategies aimed at activating this potential would be worthwhile.It was confirmed that shotgun metagenomics may not fully reveal potential bacterial functions when characterizing impacted soil microbiomes.Additionally,culture-based methods complemented and increased the knowledge obtained from culture-independent approaches,demonstrating their utility for bioprospecting PAH degraders and designing microbiome engineering strategies.展开更多
BACKGROUND Detailed data on the relation of post-operative complications with clinical outcomes after simultaneous pancreas-kidney(SPK)transplantation is lacking.AIM To compare Clavien-Dindo classification(CDC)and com...BACKGROUND Detailed data on the relation of post-operative complications with clinical outcomes after simultaneous pancreas-kidney(SPK)transplantation is lacking.AIM To compare Clavien-Dindo classification(CDC)and comprehensive complication index(CCI)in predicting outcomes after SPK.METHODS Data for patients undergoing SPK between 1999-2019 were analyzed.Information on recipients’baseline characteristics,peri-operative management and postoperative complications were collated.Length of hospital stay(LOS)was the primary study outcome,and the associations with CDC and CCI were evaluated using Spearman’s(ρ)correlation coefficients.RESULTS In the study period,data were available for 128 patients(female n=44,34.4%).Sixty-nine patients had at least one complication with the highest CDC grade of I,II,III,and IV in 8(6.3%),22(17.2%),32(25%),and 7(5.5%)patients,respectively. The mean LOS was 21.4 ± 17.7 days. Both classification systems were correlated with LOS, yet CCI was stronger(Spearman’s ρ: 0.694 vs 0.602, P < 0.001). Female patients (P = 0.019) and patients with pre-transplant cardiovascularevents (P = 0.02) had longer LOS. After adjusted multivariable analysis, the link between LOS and both theCDC and CCI remained relevant. CCI had a superior fit compared to CDC (r2 = 0.729 vs r2 = 0.481), with every 10CCI points being associated with a 5.27 day (P < 0.001) increased LOS.CONCLUSIONThis study showed that the CCI was better linked with LOS compared to CDC and might represent a useful scoreto evaluate the overall burden of postoperative complications in patients undergoing SPK.展开更多
文摘持续关系抽取(Continuous Relation Extraction,CRE)在理解和适应不断变化的数据环境中扮演着至关重要的角色.传统的CRE技术通常面临两大难题:一是关系模式的持续演变,二是遗忘之前学习的关系的风险.尽管存储和重放旧关系典型示例的做法在减少遗忘方面已被证明是有效的,但反复重放这些固定且有限的样本可能导致过拟合.为了解决这一问题,本文提出了一种基于动态原型的持续关系抽取方法.该方法结合了密度聚类和生成式大型语言模型,以应对上述挑战,本文将其命名为密度聚类和生成式大型语言建模(Continuous Relation Extraction with Density based Clustering and Generative Large Language Model,CRE-DCGLLM).具体而言,本文采用了密度聚类技术来提取记忆样本,缓解对先前任务的遗忘问题,并基于全量样本和记忆样本设计了动态关系原型.此外,本文通过生成式大语文模型为记忆样本生成伪样本用于重放训练,以解决因多次重放导致的模型过拟合问题.同时,本文还运用焦点知识蒸馏技术,以提升对变化中关系模式的适应性能.通过在FewRel数据集和TACRED数据集上进行的一系列实验,本文验证了该方法的有效性.实验结果显示,本文的方法在持续关系抽取的准确性和效率方面都取得了显著的提升,特别是在处理相似关系、防止知识遗忘以及克服过拟合等方面表现出了卓越的性能.
基金supported by CPS2E Laboratory,National Higher School of Mines of Rabat.
文摘In this study,we analyzed the untapped energy potential of remote mountainous regions in eastern Morocco,thereby addressing the research gap on sustainable electrification in such areas.We proposed a hybrid energy system corresponding to the local conditions and integrated the solar,wind,and biomass energy using batteries and green hydrogen as storage systems,considering the grid as a backup.Simulations conducted using HOMER Pro indicate an annual energy output of 5.6 GWh from solar,6.9 GWh from wind,and 1 GWh from biomass,thereby ensuring 100%renewable self-sufficiency.The system is highly cost-effective and achieves a levelized cost of energy of 0.024$/kWh while significantly reducing the greenhouse gas emissions by over 99%for CO_(2) and 100%for SO_(2).This study presents a sustainable,reliable,and economically viable solution for rural electrification,which concurs with SDG 7.
基金Consejo Nacional de Humanidades,Ciencias y Tecnologías(CONAHCYT)for the postdoctoral project 6487852the Universidad Autónoma Antonio Narro,Departamento de Fitomejoramiento for the institutional project with Key 38111-425105001-2295.
文摘Micronutrient deficiency is a significant global issue that results in diets lacking adequate vitamins and minerals.Low nutrient levels are primarily attributed to crops cultivated in soils with insufficient nutrient concentration and availability,compounded by abiotic stress that adversely affects proper plant growth and development.The introduction of alternative crops through nanotechnology has emerged as a widely adopted strategy for enhancing sustainable crop production.This approach harnesses various nanoparticles,minimizing the environmental impact associated with traditional chemical fertilizers.Ranging in size from 1 to 100 nm,these nanoparticles exhibit diverse morphologies,enabling easy internalization into plants via stomata and roots.Once absorbed,they are transported to the xylem and undergo numerous physiological and metabolic processes.Consequently,employing nanoparticles as nanofertilizers,applicable through foliar or root methods,and pregermination treatments for seeds,represents a promising solution for crop biofortification and,ultimately,addressing global malnutrition concerns.
文摘Pesticides are chemical substances used to eliminate various pests.Currently,more than two million tons of pesticides are used annually in developing and developed countries.One of the chronic diseases associated with pesticide poisoning is diabetes.This review aimed to elucidate the mechanisms of action involved in the development of diabetes after pesticide poisoning.Relevant information was collected between January and May 2024,using databases such as PubMed,Google Academic,and Elsevier.Pesticides reduce the secretion of glucagon-like peptide-1(GLP-1)in the intestine,thereby decreasing the release of insulin.Moreover,pesticides are metabolized to acetic acid by intestinal microbiota.This contributes to gluconeogenesis in the liver.In addition,the accumulation of pesticides in adipose tissue affects pancreatic beta-cells(β-cells)through increases in the levels of proinflammatory cytokines and the release of leptin,resulting in insulin resistance and impairments of appetite control and energy balance.These alterations caused by pesticides can contribute to the development of diabetes by affecting many organic systems.
文摘The amber sites from the Chiapas Highlands in southwestern Mexico constitute an Oligo-Miocene Amber-Lagerstätte(ca.24 Ma)whose mines and pits at Simojovel,Totolapa,and Estrella de Belén yield exceptionally preserved fossil inclusions,notably insects from an estuarine wetland.A comprehensive cross-referenced catalog of insects and their close relatives(Arthropoda:Hexapoda)recorded in Mexican amber has been compiled.The catalog comprises 589 fossil records,including 21 orders,180 families,230 genera,and 193 species.Data show the fossil diversity of insects based on 65 years of taxonomic descriptions.The catalog also consists of an online database for consultation and permanent updating.Accordingly,the taxonomic composition of Hexapoda in Oligo-Miocene Mexican amber is a significant addition to the current knowledge of the diversity of Lagerstätte taxa distributed worldwide.
文摘Mountains are important reservoirs of biodiversity and endemism on a global scale, but little is known about the altitudinal configuration of this diversity and its driving factors in arid mountains. We explored variations in composition, diversity, cover,and life forms of vascular plants along a complete altitudinal gradient(1300-4000 m a.s.l) in Sierra de Velasco, an arid mountain in northwestern Argentina.We evaluated the influence of environmental variables on plant diversity and cover. Field sampling was conducted in the northern sector of the Sa. de Velasco,on the western slope in eight 50 m wide altitudinal bands at 400 m elevation intervals. We used rectangular plots(20 × 4 m;n:10/altitudinal band) to register the vascular plants of all the growth forms, and linear transects(20 m long.;n:30/altitudinal band) to quantify the vegetation cover using the point intercept method. Diversity was calculated using hill numbers.Data analysis included non-metric multidimensional scaling(NMDS), indicator species analysis,generalized linear models(GLMs), and variance partitioning analysis. A total of 232 species from 51families and 158 genera were registered. Species composition showed greater similarity at intermediate elevations. Plant diversity and cover exhibited a unimodal distribution, peaking at intermediate elevations(2100-2500 m). In contrast, life forms' distribution showed divergent patterns. Therophytes and succulents predominated at low altitudes,phanerophytes and hemicryptophytes at medium altitudes, and chamaephytes and geophytes at high altitudes. The altitudinal patterns of plant diversity and cover were primarily driven by climatic factors.Conservation efforts in the Sierra de Velasco should focus on the middle and upper zones due to their high biodiversity and vulnerability to climate change.
基金funded by Tecnologico Nacional de Mexico/IT de Tuxtla Gutierrez with project number 22847.25-PFunding came from the“Consejo Nacional de Humanidades,Ciencias y Tecnologias”(CONAHCYT,Mexico),with Project No.320299.
文摘Species of the genus Paenibacillus,especially those from extreme environments that have been reported,are known for producing bioactive compounds with agricultural and biotechnological applications.In this study,we investigated the genomic and biochemical potential of Paenibacillus sp.VCA1 strain isolated from a thermophilic environment.Taxonomic identification was performed using whole genome similarity analysis,TETRA four-nucleotide frequency of occurrence analysis,ANI average nucleotide identity analysis,and gene distance analysis using digital DNA-DNA hybridization(dDDH).Functional analysis of the strain VCA1 was performed by detecting genes,enzymes,and genome subsystems involved in biocontrol and plant growth promotion,which was carried out using the RAST(Rapid Annotation using Subsystem Technology),the seed server and antiSAMSH(antibiotics&Secondary Metabolite Analysis Shell).Genetic analyses showed the existence of 11 fatty acid and isoprenoid production genes,56 motility and chemotaxis genes,29 N-acetylglucosamine genes,and five siderophore genes.Finally,the antifungal and emulsifying activities demonstrated that strain VCA1 has activity against Fusarium oxysporum strain 45ta using integrated genomic and experimental validation,and the antifungal properties of the Paenibacillus sp.VCA1 has suggested potential use as a biocontrol agent against phytopathogenic fungi,and its continuous study can have beneficial applications in sustainable agriculture and biotechnology.
基金“Peso-Dollar Exchange Rate Prediction:Fundamentals vs.Internet Search Indicators”,which was sponsored by the Universidad Autonoma de Nuevo Leon,Mexico(PAICYT Project#375-CSA-2022).
文摘Recently,internet users have significantly increased their use of search engines,and market investors are no exception.As a result,predictive models that incorporate scattered web-based information are developing as an area of forecasting.The objective of this research is to compare the predictive accuracy of fundamental macroeconomic variables,online attention series measured by the Google Trends search volume index,and a combination of both data types for the Mexican,Brazilian,Chilean,and Colombian currencies paired with the USD.The exchange rate series used in this study are sourced from a real-time platform.Four indicators capturing the fundamental macroeconomic differences between these emerging economies and the U.S.from January 2004 to March 2021(monthly)were analyzed.To assess the predictive performance of the KNN algorithm,OLS regression and the random walk with drift model were compared.Considering in-sample predictions,the results generally exhibit lower estimation errors in the random walk with drift model,but in the joint fundamental–online attention data,the KNN and OLS predictions are more accurate than those of the random walk with drift.However,the KNN predictions based on out-of-sample fit generate the lowest estimation errors and the most accurate predictions for the joint fundamental–online attention data.Additionally,performance testing indicates that the KNN extended model outperforms the out-ofsample forecast for the OLS regression and the random walk with drift model.
基金This work was carried out in the framework of PAPIIT-UNAM(IN-205823)project.
文摘Li_(6)ZnO_(4)was chemically modified by nickel addition,in order to develop different compositions of the solid solution Li_(6)Zn_(1-x)Ni_(x)O_(4).These materials were evaluated bifunctionally;analyzing their CO_(2)capture performances,aswell as on their catalytic properties for H_(2)production via dry reforming of methane(DRM).The crystal structures of Li_(6)Zn_(1-x)Ni_(x)O_(4)solid solution samples were determined through X-ray diffraction,which confirmed the integration of nickel ions up to a concentration around 20 mol%,meanwhile beyond this value,a secondary phase was detected.These results were supported by XPS and TEM analyses.Then,dynamic and isothermal thermogravimetric analyses of CO_(2)capture revealed that Li_(6)Zn_(1-x)Ni_(x)O_(4)solid solution samples exhibited good CO_(2)chemisorption efficiencies,similarly to the pristine Li_(6)ZnO_(4)chemisorption trends observed.Moreover,a kinetic analysis of CO_(2)isothermal chemisorptions,using the Avrami-Erofeev model,evidenced an increment of the constant rates as a function of the Ni content.Since Ni^(2+)ions incorporation did not reduce the CO_(2)capture efficiency and kinetics,the catalytic properties of thesematerialswere evaluated in the DRM process.Results demonstrated that nickel ions favored hydrogen(H_(2))production over the pristine Li_(6)ZnO_(4)phase,despite a second H2 production reaction was determined,methane decomposition.Thereby,Li_(6)Zn_(1-x)Ni_(x)O_(4)ceramics can be employed as bifunctional materials.
基金supported by the Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET)and the Agencia Nacional de Promoción Científica y Tecnológica(Nos.PICT 2018-1889 and PICT 2019-01805)of Argentina and the United Nations University Biotechnology Programme for Latin America and the Caribbean(UNU-BIOLAC).
文摘Bioremediation is an eco-friendly alternative for soil restoration.However,its outcomes are still variable.Different bioremediation strategies were used in a chronically polycyclic aromatic hydrocarbon(PAH)-contaminated soil,and no degradation was achieved.This work attempts to study whether the soil bacterial community has the genetic potential for aromatic compound degradation(ACD).While 16S rRNA metabarcoding of that soil showed a predominance of Proteobacteria,shotgun metagenomics indicated that 99.5%of the sequences were taxonomically assigned to Streptomycetales,and almost all genes related to ACD were assigned to the latter.As comprehension of the composition and metabolic potential of a soil community can be enhanced by exploring enrichment cultures of that soil,a culture approach followed by a shotgun metagenomic analysis was performed.These enrichment cultures were obtained by sequential transfers with pyrene conducted every 7(r-EFP)and 28(k-MSP2)d.Both r-EFP and k-MSP2 demonstrated the ability to degrade pyrene and the presence of genes related to ACD.While Pseudomonas and Olivibacter were the predominant genera in r-EFP,Mycobacterium,Chitoniphaga,Bacillus,and Pseudoxanthomonas were predominant in k-MSP2.This study demonstrated the soil bacterial community's potential to degrade PAHs of three and four rings.Therefore,exploration of bioremediation strategies aimed at activating this potential would be worthwhile.It was confirmed that shotgun metagenomics may not fully reveal potential bacterial functions when characterizing impacted soil microbiomes.Additionally,culture-based methods complemented and increased the knowledge obtained from culture-independent approaches,demonstrating their utility for bioprospecting PAH degraders and designing microbiome engineering strategies.
文摘BACKGROUND Detailed data on the relation of post-operative complications with clinical outcomes after simultaneous pancreas-kidney(SPK)transplantation is lacking.AIM To compare Clavien-Dindo classification(CDC)and comprehensive complication index(CCI)in predicting outcomes after SPK.METHODS Data for patients undergoing SPK between 1999-2019 were analyzed.Information on recipients’baseline characteristics,peri-operative management and postoperative complications were collated.Length of hospital stay(LOS)was the primary study outcome,and the associations with CDC and CCI were evaluated using Spearman’s(ρ)correlation coefficients.RESULTS In the study period,data were available for 128 patients(female n=44,34.4%).Sixty-nine patients had at least one complication with the highest CDC grade of I,II,III,and IV in 8(6.3%),22(17.2%),32(25%),and 7(5.5%)patients,respectively. The mean LOS was 21.4 ± 17.7 days. Both classification systems were correlated with LOS, yet CCI was stronger(Spearman’s ρ: 0.694 vs 0.602, P < 0.001). Female patients (P = 0.019) and patients with pre-transplant cardiovascularevents (P = 0.02) had longer LOS. After adjusted multivariable analysis, the link between LOS and both theCDC and CCI remained relevant. CCI had a superior fit compared to CDC (r2 = 0.729 vs r2 = 0.481), with every 10CCI points being associated with a 5.27 day (P < 0.001) increased LOS.CONCLUSIONThis study showed that the CCI was better linked with LOS compared to CDC and might represent a useful scoreto evaluate the overall burden of postoperative complications in patients undergoing SPK.
