检索结果-内蒙古大学图书馆

algorithms for Treating Dyslipidemia in Youth

CURRENT ATHEROSCLEROSIS REPORTS 2023年第8期25卷 495-507页

作者： Kim, Grace K. Yee, Jennifer K. Bansal, Nidhi Texas Childrens Hosp Baylor Coll Med Dept Pediat Div Diabet & Endocrinol 6701 Fannin St Ste 1020 Houston TX 77030 USA UCLA Lundquist Inst Biomed Innovat Harbor Harbor UCLA Med Ctr Div EndocrinolDept Pediat Torrance CA 90509 USA UCLA David Geffen Sch Med Los Angeles CA 90509 USA

Purpose of ReviewThe goal of this article is to review algorithms for treating dyslipidemia in youth, discuss pitfalls, propose enhanced algorithms to address pitfalls, and consider future *** FindingsThe presence of modifiable and non-modifiable cardiovascular disease (CVD) risk factors during childhood is associated with CVD-related events in adulthood. Recent data has shown that childhood initiation of statin therapy in youth < 18 years of age with familial hypercholesterolemia reduces the risk of adult CVD. However, pediatric dyslipidemia remains undertreated in part due to a lack of primary health care providers with adequate understanding of screening guidelines and pediatric lipidologists with experience in treatment and follow-up of this unique population. Management algorithms have been published by the National Heart, Lung, and Blood Institute and American Heart Association as tools to empower clinicians to manage dyslipidemia. We propose enhanced algorithms, which incorporate recently approved pharmacotherapy to address the management gaps. Future algorithms based upon clinical risk scores may enhance treatment and improve *** for dyslipidemia management which target youth < 18 years of age are tools which empower clinicians to manage dyslipidemia in this unique population. Enhanced algorithms may help address pitfalls. We acknowledge the need for further risk assessment tools in pediatrics for tailored dyslipidemia management.

关键词： Dyslipidemia Cardiovascular disease algorithms Youth Lipids

来源：评论

学校读者我要写书评

暂无评论

Intelligent Solution System for Cloud Security Based on Equity Distribution:Model and algorithms

引用

Computers, Materials & Continua 2024年第1期78卷 1461-1479页

作者： Sarah Mustafa Eljack Mahdi Jemmali Mohsen Denden Mutasim Al Sadig Abdullah M.Algashami Sadok Turki Department of Computer Science and Information College of Science at ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Computing and InformaticsUniversity of SharjahSharjahUnited Arab Emirates Higher Institute of Computer Science and Mathematics University of MonastirMonastir5000Tunisia Mars Laboratory University of SousseSousseTunisia Department of Logistic and Maintenance UFR MIM at MetzUniversity of LorraineMetzFrance Department of Computer and Information Technologies College of Telecommunicationand Information Riyadh CTITechnical and Vocational Training Corporation TVTCRiyadh12464Saudi Arabia Department of Computer Science Higher Institute of Applied Sciences of SousseSousse UniversitySousse4000Tunisia

In the cloud environment,ensuring a high level of data security is in high *** planning storage optimization is part of the whole security process in the cloud *** enables data security by avoiding the risk of data loss and data *** development of data flow scheduling approaches in the cloud environment taking security parameters into account is *** our work,we propose a data scheduling model for the cloud *** is made up of three parts that together help dispatch user data flow to the appropriate *** first component is the Collector Agent whichmust periodically collect information on the state of the network *** second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the *** third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable *** should be noted that each part of the proposedmodel requires the development of its *** this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link *** algorithms are based on the grouping of transmitted files and the iterative *** proposed algorithms showthe performances to obtain an approximate solution to the studied problem which is an NP-hard(Non-Polynomial solution)*** experimental results show that the best algorithm is the half-grouped minimum excluding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an execution time of 0.001 s.

关键词： Cyber-security cloud computing cloud security algorithms heuristics

来源：评论

学校读者我要写书评

暂无评论

Linear-regression-based algorithms can succeed at identifying microbial functional groups despite the nonlinearity of ecological function

引用

PLOS COMPUTATIONAL BIOLOGY 2024年第11期20卷 e1012590页

作者： Zhao, Yuanchen Cordero, Otto X. Tikhonov, Mikhail Nanjing Univ Sch Phys Nanjing Jiangsu Peoples R China MIT Dept Civil & Environm Engn Cambridge MA USA Washington Univ St Louis Dept Phys St Louis MO 63130 USA

Microbial communities play key roles across diverse environments. Predicting their function and dynamics is a key goal of microbial ecology, but detailed microscopic descriptions of these systems can be prohibitively complex. One approach to deal with this complexity is to resort to coarser representations. Several approaches have sought to identify useful groupings of microbial species in a data-driven way. Of these, recent work has claimed some empirical success at de novo discovery of coarse representations predictive of a given function using methods as simple as a linear regression, against multiple groups of species or even a single such group (the ensemble quotient optimization (EQO) approach). Modeling community function as a linear combination of individual species' contributions appears simplistic. However, the task of identifying a predictive coarsening of an ecosystem is distinct from the task of predicting the function well, and it is conceivable that the former could be accomplished by a simpler methodology than the latter. Here, we use the resource competition framework to design a model where the "correct" grouping to be discovered is well-defined, and use synthetic data to evaluate and compare three regression-based methods, namely, two proposed previously and one we introduce. We find that regression-based methods can recover the groupings even when the function is manifestly nonlinear;that multi-group methods offer an advantage over a single-group EQO;and crucially, that simpler (linear) methods can outperform more complex ones.

关键词： algorithms Metabolites Linear regression analysis Species diversity Optimization Species delimitation Forecasting Machine learning algorithms

来源：评论

学校读者我要写书评

暂无评论

A Behavioral Study of Different Controllers and algorithms in Real-Time Applications

引用

IETE JOURNAL OF RESEARCH 2024年第2期70卷 1657-1681页

作者： Maheedhar, M. Deepa, T. VIT Elect & Elect Dept Chennai 600127 Tamil Nadu India

In this available world systems are nonlinear and dynamical, due to external disturbances, it behaves unexpectedly. To continue, operation controllers are needed in tracking, chemical engineering, electrical engineering, and other areas. For continuing quality and productivity of industrial firms, the importance of industrial robots is increasing. Different structures of fuzzy-Proportional Integral Derivative based trajectories for robot manipulators are designed, for various regular and irregular trajectories, the industrial robot's performance is compared by Proportional Integral Derivative and Fuzzy- Proportional Integral Derivative controller. For tracking the peak power in a Photo Voltaic system, a nonlinear proportional-integral-derivative controller is applied for rapidly changing environmental conditions, particle swarm optimization based Nonlinear-PID, Maximum Power Point Tracking method offers a clean response for Maximum Power Point Tracking. To maintain constant frequency and power variations in power systems the freedom of a three-degree Proportional Integral Derivative controller was designed. For excitation control in Automatic Voltage Regulators, Proportional Integral Derivative and Proportional Integral Derivative -Acceleration controllers are used, Proportional Integral Derivative -Acceleration has more response speed and more stability and it has a good response time and response of frequency by implementing the Particle Swarms Optimization and Gravitational Search algorithm-based Proportional Integral Derivative controller Automatic Voltage Regulator's voltage response is effective. This paper deals with studying the behavior of various controllers and algorithms in practical applications, comparative analysis of magnetic levitation system response with different controllers and algorithms, and finding the performance of magnetic levitation systems by using a Particle Swarm Optimization algorithm-based Proportional Integral Derivative controller.

关键词： algorithms controller fuzzy magnetic levitation optimization parameters

来源：评论

学校读者我要写书评

暂无评论

Searching for Structure: Characterizing the Protein Conformational Landscape with Clustering-Based algorithms

引用

JOURNAL OF CHEMICAL INFORMATION AND MODELING 2024年第2期64卷 470-482页

作者： Macke, Amanda C. Stump, Jacob E. Kelly, Maria S. Rowley, Jamie Herath, Vageesha Mullen, Sarah Dima, Ruxandra I. Univ Cincinnati Dept Chem Cincinnati OH 45221 USA Emory Univ Dept Chem Atlanta GA 30322 USA Coll Wooster Dept Chem Wooster OH 44691 USA Virginia Tech Dept Chem Blacksburg VA 24061 USA

The identification and characterization of the main conformations from a protein population are a challenging and inherently high-dimensional problem. Here, we evaluate the performance of the Secondary sTructural Ensembles with machine LeArning (StELa) double-clustering method, which clusters protein structures based on the relationship between the phi and psi dihedral angles in a protein backbone and the secondary structure of the protein, thus focusing on the local properties of protein structures. The classification of states as vectors composed of the clusters' indices arising naturally from the Ramachandran plot is followed by the hierarchical clustering of the vectors to allow for the identification of the main features of the corresponding free energy landscape (FEL). We compare the performance of StELa with the established root-mean-squared-deviation (RMSD)-based clustering algorithm, which focuses on global properties of protein structures and with Combinatorial Averaged Transient Structure (CATS), the combinatorial averaged transient structure clustering method based on distributions of the phi and psi dihedral angle coordinates. Using ensembles of conformations from molecular dynamics simulations of intrinsically disordered proteins (IDPs) of various lengths (tau protein fragments) or short fragments from a globular protein, we show that StELa is the clustering method that identifies many of the minima and relevant energy states around the minima from the corresponding FELs. In contrast, the RMSD-based algorithm yields a large number of clusters that usually cover most of the FEL, thus being unable to distinguish between states, while CATS does not sample well the FELs for long IDPs and fragments from globular proteins.

关键词： algorithms Chemical structure Cluster chemistry Potential energy Protein structure

来源：评论

学校读者我要写书评

暂无评论

Advancements in Raman imaging for nanoplastic analysis: Challenges, algorithms and future Perspectives

引用

ANALYTICA CHIMICA ACTA 2024年 1290卷 342069页

作者： Fang, Cheng Luo, Yunlong Naidu, Ravi Univ Newcastle Global Ctr Environm Remediat GCER Callaghan NSW 2308 Australia Univ Newcastle Cooperat Res Ctr Contaminat Assessment & Remediat Callaghan NSW 2308 Australia

Background: While the concept of microplastic (<5 mm) is well -established, emergence of nanoplastics (<1000 nm) as a new contaminant presents a recent and evolving challenge. The field of nanoplastic research remains in its early stages, and its progress is contingent upon the development of reliable and practical analytical methods, which are currently lacking. This review aims to address the intricacies of nanoplastic analysis by providing a comprehensive overview on the application of advanced imaging techniques, with a particular focus on Raman imaging, for nanoplastic identification and simultaneous visualisation towards quantification. Results: Although Raman imaging via hyper spectrum is a potentially powerful tool to analyse nanoplastics, several challenges should be overcome. The first challenge lies in the weak Raman signal of nanoplastics. To address this, effective sample preparation and signal enhancement techniques can be implemented, such as by analysing the hyper spectrum that contains hundred -to -thousand spectra, rather than a single spectrum. Second challenge is the complexity of Raman hyperspectral matrix with dataset size at megabyte (MB) or even bigger, which can be adopted using different algorithms ranging from image merging to multivariate analysis of chemometrics. Third challenge is the laser size that hinders the visualisation of small nanoplastics due to the laser diffraction (lambda/2NA, 300 nm), which can be solved with involving the use of super -resolution. Signal processing, such as colour off -setting, Gaussian fitting (via deconvolution), and re -focus or image re -construction, are reviewed herein, which show a great promise for breaking through the diffraction limit. Significance: Overall, current studies along with further validation are imperative to refine these approaches and enhance the reliability, not only for nanoplastics research but also for broader investigations in the realm of nanomaterials.

关键词： Nanoplastic Microplastic Raman imaging algorithms Laser diffraction Super-resolution imaging

来源：评论

学校读者我要写书评

暂无评论

Anti-Windup Adaptive Look-Up Table algorithms With Application to Data-Driven Engine Controls

引用

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME 2024年第6期146卷 064502-064502页

作者： Lochrie, Gabrielle Chen, Weichen Yoon, Yongsoon Oakland Univ Dept Mech Engn Rochester MI 48309 USA

This technical brief presents anti-windup adaptation algorithms fora look-up table (LUT), widely used in data-driven engine controlsystems to accurately model complex features while minimizingcomputational demand. Engine control systems are prone touncertain variations due to aging, faults, and manufacturingtolerances, which can impact performance and emissions unlesseffectively managed. Therefore, there is a growing demand foradaptive features in these systems to maintain robust performanceand emissions over their lifespan. This study develops computa-tionally efficient adaptive look-up table (ALUT) algorithms usinganti-windup recursive parameter estimation and covariance matrixresetting, ensuring robust and rapid adaptation under variousoperating conditions. The effectiveness of these algorithms isdemonstrated through adapting an engine-out nitrogen oxides(NOx) concentration map, which is crucial for tailpipe emissioncontrols in compression-ignition (CI) engines

关键词： Errors Interpolation Engines Nitrogen oxides Parameter estimation algorithms Control systems

来源：评论

学校读者我要写书评

暂无评论

The Use of Computational algorithms to Display the Aircraft Instruments That Work with Gyroscopic and Magnetic Physics (Theory for Programming an Elementary Flight Simulator)

引用

APPLIED SCIENCES-BASEL 2024年第16期14卷 7099页

作者： Ramirez-Lopez, Adan Technol & Autonomous Inst Mexico ITAM Dept Ind Engn Rio Hondo 1 Col Tizapan Mexico City 01080 Mexico

The present study shows the development of computational algorithms to represent aircraft instruments such as the attitude indicator or the turn-and-slip indicator;moreover, the algorithms represent a magnetic compass and other instruments that function according to other physical theories. These instruments work by using the gyroscope and magnetic principles and help the pilot in navigation. These are considered to be the basic instruments required to provide location-related and positional information about the actual aircraft attitude. The algorithms developed in this study are capable of working in concordance with other instruments and the physical conditions established. The programming language used was C++ and the algorithms were compiled in independent files and subroutines for computational efficiency, eliminating unnecessary code. The display options were successfully tested. Additionally, an analysis that evaluated the error and approached flight simulation as a function of step time (Delta t) is also described.

关键词： air navigation numerical methods gyroscopic and magnetic instruments computer animation algorithms programming and simulation numerical approach

来源：评论

学校读者我要写书评

暂无评论

Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning algorithms: A Review

引用

EXPERT SYSTEMS WITH APPLICATIONS 2024年第PartB期238卷

作者： Amin, Arslan Ahmed Iqbal, Muhammad Sajid Shahbaz, Muhammad Hamza FAST Natl Univ Comp & Emerging Sci Dept Elect Engn Chiniot Faisalabad Campus Punjab Pakistan

Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The overall goal of the FTC is to accommodate defects in the system components while they are in use and maintain stability with little to no performance reduction. These systems are crucial for mission-critical and safety-related applications where the safety of people is at stake and service continuity is crucial. In this review paper, a systematic study has been done for the development of FTC with machine learning, deep learning, and transfer learning algorithms. The challenges and limitations faced with their possible solutions through machine learning theories for the IFTC model are lined up. This paper guides researchers on the different possible types of machine learning algorithms and their advanced forms like deep learning and transfer learning. The differences among these are highlighted by the challenges and limitations of each. The paper is significant such that most of the important literature references from the Scopus database particularly related to important electrical and mechanical industrial problems have been discussed to guide the researchers who want to apply IFTC for specific industrial problems, being the research gap. Finally, future research directions for the development of IFTC are highlighted.

关键词： Fault diagnosis Intelligent fault-tolerant control algorithms Machine learning Deep learning Transfer learning

来源：评论

学校读者我要写书评

暂无评论

AIGO-DTI: Predicting Drug-Target Interactions Based on Improved Drug Properties Combined with Adaptive Iterative algorithms

引用

JOURNAL OF CHEMICAL INFORMATION AND MODELING 2024年第10期64卷 4373-4384页

作者： Zhang, Sizhe Tian, Xuecong Chen, Chen Su, Ying Huang, Wanhua Lv, Xiaoyi Chen, Cheng Li, Hongyi Xinjiang Univ Coll Software Urumqi 830046 Xinjiang Peoples R China Xinjiang Univ Coll Informat Sci & Engn Urumqi 830046 Xinjiang Peoples R China Xinjiang Univ Urumqi 830046 Xinjiang Peoples R China

Artificial intelligence-based methods for predicting drug-target interactions (DTIs) aim to explore reliable drug candidate targets rapidly and cost-effectively to accelerate the drug development process. However, current methods are often limited by the topological regularities of drug molecules, making them difficult to generalize to a broader chemical space. Additionally, the use of similarity to measure DTI network links often introduces noise, leading to false DTI relationships and affecting the prediction accuracy. To address these issues, this study proposes an Adaptive Iterative Graph Optimization (AIGO)-DTI prediction framework. This framework integrates atomic cluster information and enhances molecular features through the design of functional group prompts and graph encoders, optimizing the construction of DTI association networks. Furthermore, the optimization of graph structure is transformed into a node similarity learning problem, utilizing multihead similarity metric functions to iteratively update the network structure to improve the quality of DTI information. Experimental results demonstrate the outstanding performance of AIGO-DTI on multiple public data sets and label reversal data sets. Case studies, molecular docking, and existing research validate its effectiveness and reliability. Overall, the method proposed in this study can construct comprehensive and reliable DTI association network information, providing new graphing and optimization strategies for DTI prediction, which contribute to efficient drug development and reduce target discovery costs.

关键词： algorithms Chemical structure Functional groups Molecules Optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：