检索结果-南通市图书馆

Brain dysfunctions and neurotoxicity induced by psychostimulants in experimental models and humans:an overview of recent findings

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2024年第9期19卷 1908-1918页

作者： marcello Serra Nicola Simola Alexia e.Pollack Giulia costa Department of Biomedical Sciences Section of NeuroscienceUniversity of CagliariCagliariItaly Department of Biology University of Massachusetts-BostonBostonMAUSA

Preclinical and clinical studies indicate that psychostimulants,in addition to having abuse potential,may elicit brain dysfunctions and/or neurotoxic *** toxicity induced by psychostimulants may pose serious health risks since the recreational use of these substances is on the rise among young people and *** present review provides an overview of recent research,conducted between 2018 and 2023,focusing on brain dysfunctions and neurotoxic effects elicited in experimental models and humans by amphetamine,cocaine,methamphetamine,3,4-methylenedioxymethamphetamine,methylphenidate,caffeine,and *** elucidation of factors and mechanisms that underlie psychostimulant-induced brain dysfunction and neurotoxicity is crucial for understanding the acute and enduring noxious brain effects that may occur in individuals who use psychostimulants for recreational and/or therapeutic purposes.

关键词： 3,4-methylenedioxymethamphetamine amphetamine caffeine cell cultures cocaine methamphetamine methylphenidate neurotoxicity nicotine

Influence of broken kernels content on soybean quality during storage

在线全文

学校读者我要写书评

暂无评论

Grain & Oil Science and Technology 2024年第2期7卷 105-112页

作者： Lazaro da costa Correa Canizares Cesar Augusto Gaioso Newiton da Silva Timm Silvia Leticia Rivero meza Adriano Hirsch Ramos maurício de Oliveira everton Lutz moacir Cardoso elias Department of Agroindustry Science and Technology Federal University of PelotasPelotasRio Grande do Sul 96010-900Brazil Information and Communication Technological Axis Federal Institute of EducationScienceand Technology FarroupilhaCampus PanambiPanambiRio Grande do Sul 98280-000Brazil

Although it is recognized that the post-harvest system is most responsible for the loss of soybean quality,the real impact of this loss is still *** regulation allows 15%and 30%of broken soybean for group I and group II(quality groups),***,the industry is not informed about the loss in the quality parameters of soybeans and its impacts during long-term ***,the objective was to evaluate the effect of the breakage kernel percentage of soybean stored for 12 *** of 15% of breakage kernels did not affect soybean ***,content of 30% of breakage kernels affected significantly soybean quality,which was evidenced by the increase of up to 75% in moldy soybeans,72% in acidity,50% in leached solids,27% in electrical conductivity,and the decrease of up to 12% in soluble protein,6.4% in germination and 3.5% in thousand kernel weight after 8 months of *** the legislation establishes a percentage limit,it is recommended to store soybeans with up to 15% breakage *** the contrary,values higher than that can cause a significant reduction in soybean quality,resulting in commercial losses.

关键词： Soybean quality Breakage kernels Storage problems Grain defects Quality parameters

elasto-inertial focusing and particle migration in high aspect ratio microchannels for highthroughput separation

在线全文

学校读者我要写书评

暂无评论

microsystems & Nanoengineering 2024年第3期10卷 381-394页

作者： Selim Tanriverdi Javier Cruz Shahriar Habibi Kasra Amini martim costa Fredrik Lundell Gustaf mårtensson Luca Brandt Outi Tammisola Aman Russom Division of Nanobiotechnology Department of Protein ScienceScience for Life LaboratoryKTH Royal Institute of TechnologySolna 17165Sweden Division of microsystems Technology Department of Materials Science and EngineeringUppsala UniversityUppsala 75237Sweden FLOW and SeRC(Swedish e-Science Research Centre) Department of Engineering MechanicsRoyal Institute of TechnologyStockholm SE 10044Sweden FLOW and Fluid Physics Laboratory Department of Engineering MechanicsRoyal Institute of TechnologyStockholmSweden Wallenberg Wood Science Center Royal Institute of TechnologyStockholm SE 10044Sweden Department of energy and Process engineering Norwegian University of Science and Technology(NTNU)TrondheimNorway AImeS Center for the Advancement of Integrated medical and engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology StockholmSweden

The combination of flow elasticity and inertia has emerged as a viable tool for focusing and manipulating particles using *** there is considerable interest in the field of elasto-inertial microfluidics owing to its potential applications,research on particle focusing has been mostly limited to low Reynolds numbers(Ree migration toward equilibrium positions has not been extensively *** this work,we thoroughly studied particle focusing on the dynamic range of flow rates and particle migration using straight microchannels with a single inlet high aspect *** initially explored several parameters that had an impact on particle focusing,such as the particle size,channel dimensions,concentration of viscoelastic fluid,and flow *** experimental work covered a wide range of dimensionless numbers(0.05eynolds numbereissenberg numberelasticity numberm *** results showed that the particle size played a dominant role,and by tuning the parameters,particle focusing could be achieved at Reynolds numbers ranging from 0.2(1μL/min)to 85(250μL/min).Furthermore,we numerically and experimentally studied particle migration and reported differential particle migration for high-resolution separations of 5μm,7μm and 10μm particles in a sheathless flow at a throughput of 150μL/*** work elucidates the complex particle transport in elasto-inertial flows and has great potential for the development of high-throughput and high-resolution particle separation for biomedical and environmental applications.

关键词： particle separation straight

evaluation of the efficiency of urban solid waste management in Brazil by data envelopment analysis and possible variables of influence

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Waste Disposal and Sustainable energy 2024年第2期6卷 283-295页

作者： Isabel das merces costa marta Ferreira Dias margarita Robaina GOvCOPP-Research Unit on Governance Competitiveness and Public Policies and Analyst of UniversidadeEstadual de Feira de SantanaUniversidade de AveiroAveiroPortugal GOvCOPP-Research Unit on Governance Competitiveness and Public PoliciesDEGEIT-Department of EconomicsManagementIndustrial Engineering and TourismUniversidade de AveiroAveiroPortugal

This article has the general objective of estimating the efficiency of urban solid waste management in 940 Brazilian munici-palities through data envelopment Analysis(DeA)technique and has specific objectives:(i)to estimate efficiency scores;(ii)to compare the performance between different groups of municipalities;and(ii)to analyze the profile of efficient munici-palities from the perspective of the guidelines of Law 12,305/2010 and socio-economic and environmental *** technique used was DeA with output-oriented and variable scale to return *** results showed higher efficiency scores in the municipalities with populations above 500,000 *** score variation ranged from 0.5(municipalities with populationsmunicipalities with more than 500,000 inhabitants).Of the sample set,only 12.34%of the municipalities were considered efficient,and when analyzing the efficient group,it was found that adherence to legislation was not a major factor in achieving efficiency.

关键词： Urban solid waste management data envelopment analysis efficiency Brazil municipalities

enhanced quantum resources via two distant atom-cavity systems under the influence of atomic dissipation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Communications in Theoretical Physics 2024年第2期76卷 62-73页

作者： m Setodeh Kheirabady m K Tavassoly m Rafeie e Ghasemian Laser and Optics Group Faculty of PhysicsYazd UniversityYazd 89195-741Iran Department of electrical engineering Faculty of Intelligent Systems Engineering and Data SciencePersian Gulf UniversityBushehrIran

Quantum resources such as entanglement and coherence are the holy grail for modern quantum technologies. Although the unwanted environmental effects tackle quantum information processing tasks, suprisingly these key quantum resources may be protected and even enhanced by the implementation of some special hybrid open quantum systems. Here, we aim to show how a dissipative atom-cavity-system can be accomplished to generate enhanced quantum *** do so, we consider a couple of dissipative cavities, where each one contains two effective two-level atoms interacting with a single-mode cavity field. In practical applications, a classical laser field may be applied to drive each atomic subsystem. After driving the system, a Bell-state measurement is performed on the output of the system to quantify the entanglement and coherence. The obtained results reveal that the remote entanglement and coherence between the atoms existing inside the two distant cavities are not only enhanced, but can be stabilized, even under the action of dissipation. In contrast, the local entanglement between two atoms inside each dissipative cavity attenuates due to the presence of unwanted environmental ***, the local coherence may show the same behavior as the remote ***, the system provides the steady state entanglement in various interaction regimes,particularly in the strong atom-cavity coupling and with relatively large detuning. more interestingly, our numerical analyses demonstrate that the system may show a memory effect due to the fact that the death and revival of the entanglement take place during the interaction. Our proposed model may find potential applications for the implementation of long distance quantum networks. In particular, it facilitates the distribution of quantum resources between the nodes of large-scale quantum networks for secure communication.

关键词： remote entanglement and coherence atomic dissipation steady state entanglement Bell-statemeasurement

Severe SARS-CoV-2 Infection: Late Impact on the Retinal Ganglion Cell Layer Thickness

在线全文

学校读者我要写书评

暂无评论

Open Journal of Ophthalmology 2024年第3期14卷 339-349页

作者： Rayssa de Fátima Farias da costa Gabino Carlos Teixeira Brandt Sebastião Cronemberger UNIFACISA Campina Grande Paraba Brazil Federal University of minas Gerais Belo Horizonte Brazil

Purpose: The involvement of the ocular anterior segment by SARS-CoV-2 has been the subject of many studies, however, the repercussions on the posterior segment, particularly on the different layers of the retina and optic nerve, are still little known. The purpose of this study was to evaluate the impact of severe COVID-19 on the retinal ganglion cell layer (RGCL) thickness. methods: This observational, prospective and analytical study was performed in the Ophthalmology Department of the FACISA University Center, Campina Grande. Three groups were included: group I (control), 29 healthy individuals who had not severe COVID-19;group II (infirmary), 24 individuals who had COVID-19 and were hospitalized in the infirmary;and group III, 25 individuals who had severe COVID-19 and required Intense Care Unit (ICU). All individuals had ophthalmologic examination and assessment of RGCL thickness using Optical Coherence Tomography (OCT). Statistical tests required p ≤ 0.05 to reject the null hypothesis. Results: The mean of RGCL thickness was significantly reduced in individuals from GIII (77.9 ± 8.9 µm), as compared with GII (83.9 ± 10.9 µm) and GI (82.8 ± 6.5 µm) (p = 0.0027). The mean measurements from the retinal neve fiber layer (RNFL) of the optic nerve head were similar. However, when evaluated sectoral, the mean of RNFL at the temporal sector of the optic disc was significantly lower in group GIII (p Conclusion: The RGCL thickness from patients with severe COVID-19 was significantly reduced. This finding supports that the SARS-CoV-2 has systemic action and affinity for nerve cells, including those from the retina and are related to the severity of the infection.

关键词： COVID-19 Post-Acute COVID-19 Syndrome Retinal Ganglion Cell

Novel Framework for an Intrusion Detection System Using multiple Feature Selection methods Based on Deep Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.e.m.eljialy mohammed Yousuf Uddin Sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. machine learning (mL) techniques are extensively applied to build robust IDSs. many researchers have utilized different mL methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the mL model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

evaluation of the seismic behavior of reinforced concrete structures with flat slab-column gravity frame and shear walls through nonlinear analysis methods

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

earthquake engineering and engineering Vibration 2024年第3期23卷 713-726页

作者： m.A.Najafgholipour S.Heidarian Radbakhsh e.erfani Department of Civil and environmental engineering Shiraz University of TechnologyShiraz ***Iran Department of Building Civiland Environmental EngineeringConcordia UniversityMontréal H3G 1M8Canada

This paper presents an investigation of the seismic behavior of reinforced concrete(RC)structures in which shear walls are the main lateral load-resisting elements and the participation of flat slab floor systems is not considered in the seismic design *** this regard,the behavior of six prototype structures(with different heights and plan layouts)is investigated through nonlinear static and time history analyses,implemented in the OpenSees *** results of the analyses are presented in terms of the behavior of the slab-column connections and their mode of failure at different loading ***,the global response of the buildings is discussed in terms of some parameters,such as lateral overstrength due to the gravity flat slab-column *** to the nonlinear static analyses,in structures in which the slab-column connections were designed only for gravity loads,the slab-column connections exhibited a punching mode of failure even in the early stages of ***,the punching failure was eliminated in structures in which a minimum transverse reinforcement recommended in ACI 318(2019)was provided in the slabs at joint ***,despite neglecting the contribution of gravity flat slab-column frames in the lateral load resistance of the structures,a relatively significant overstrength was imposed on the structures by the gravity frames.

关键词： RC flat slab-column frames seismic behavior nonlinear analysis time history analysis

Beyond p-y method:A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

在线全文

学校读者我要写书评

暂无评论

Journal of Rock mechanics and Geotechnical engineering 2024年第9期16卷 3812-3840页

作者： m.e.Al-Atroush A.e.Aboelela ezz el-Din Hemdan Civil and environmental engineering Program Engineering Management DepartmentCollege of EngineeringPrince Sultan UniversityRiyadhSaudi Arabia Department of Structural engineering Faculty of EngineeringAin Shams UniversityCairoEgypt Structure and materials Research Lab Prince Sultan UniversityRiyadhSaudi Arabia Computer Science and engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt

In 2023,pivotal advancements in artificial intelligence(AI)have significantly *** that in mind,traditional methodologies,notably the p-y approach,have struggled to accurately model the complex,nonlinear soil-structure interactions of laterally loaded large-diameter drilled *** study undertakes a rigorous evaluation of machine learning(mL)and deep learning(DL)techniques,offering a comprehensive review of their application in addressing this geotechnical challenge.A thorough review and comparative analysis have been carried out to investigate various AI models such as artificial neural networks(ANNs),relevance vector machines(RVms),and least squares support vector machines(LSSVms).It was found that despite mL approaches outperforming classic methods in predicting the lateral behavior of piles,their‘black box'nature and reliance only on a data-driven approach made their results showcase statistical robustness rather than clear geotechnical insights,a fact underscored by the mathematical equations derived from these ***,the research identified a gap in the availability of drilled shaft datasets,limiting the extendibility of current findings to large-diameter *** extensive dataset,compiled from a series of lateral loading tests on free-head drilled shaft with varying properties and geometries,was introduced to bridge this *** paper concluded with a direction for future research,proposes the integration of physics-informed neural networks(PINNs),combining data-driven models with fundamental geotechnical principles to improve both the interpretability and predictive accuracy of AI applications in geotechnical engineering,marking a novel contribution to the field.

关键词： Laterally loaded drilled shaft load transfer and failure mechanisms Physics-informed neural networks(PINNs) P-y curves Artificial intelligence(AI) dataset