检索结果-内蒙古大学图书馆

ieee Region 10 Humanitarian Technology conference (R10-HTC)

作者： Dewan Mahnaaz Mahmud Sayeed Hasan S.M. Masum Ahmed Mohammad Zeyad Energy and Technology Research Division Advanced Bioinformatics Computational Biology and Data Science Laboratory Bangladesh Chattogram Bangladesh Erasmus+ Joint MSC in Smart Cities and Communities Faculty of Engineering University of Mons (UMONS) Mons Belgium Erasmus+ Joint MSC in Smart Cities and Communities University of the Basque Country (UPV/EHU) Bilbao Spain

Renewable energy systems (RES) are becoming more prominent because of the depletion of natural resources. Optimum sizing of the hybrid RES is necessary to ensure that renewable energy sources penetrate. Improper sizing may result in higher initiating costs or an inability to meet load demand under various weather conditions. By analyzing with Hybrid Optimization Multiple Energy Resources (HOMER pro), this study shows the ideal hybrid energy system that provides the lowest cost of energy production, emissions, and so on. This study provides a grid-connected hybrid power system model based on metrological data collected from a residential building in Mohammadpur, Dhaka, Bangladesh. Solar energy is used as a sustainable energy source thus the cost of the system was decreased, which is also environmentally friendly. This renewable energy also helped to minimize the levelized cost of energy (COE). The conclusion estimates operational costs, production costs, net present cost, and energy cost for the two combinations evaluated for the proposed microgrid system. According to the simulation results, delivering power to the load via a microgrid would be a viable and cost-effective solution.

关键词： Renewable energy sources Costs Simulation Buildings Microgrids Production Solar energy

来源：评论

学校读者我要写书评

暂无评论

TIDE: Inter-chromosomal translocation and insertion detection using embeddings

TIDE: Inter-chromosomal translocation and insertion detectio...

引用

ieee International conference on Big Data

作者： Rosarme Vetro Roshanak Farhoodi Rohith Kotla Nurit Haspel David Weisman Jennifer Rosen Dan Simovici Department of Computer Science University of Massachusetts Boston Boston Massachusetts USA Department of Biology University of Massachusetts Boston Massachusetts USA Medstar Washington Hospital Center Washington DC USA

ISBN: (纸本)9781479956678

Structural variations (SVs) are deletions, duplications and rearrangements of medium to large segments (>100 base pairs (bp)) of the genome. Such genomic mutations are often described as being the primary cause of many diseases, including cancer. Breakpoint detection using next-generation sequencing (NGS) platforms still remains an open problem since computational methods to detect SVs face the big challenge of accurately predicting the precise location of breakpoints, which are typically spanned by a very small number of reads among millions that are generated during the sequencing process. In this work, we propose a method called TIDE to identify reads from paired-end sequencing data containing inter-chromosomal translocation or insertion breakpoints, which are specific types of SVs involving different chromosomes. To achieve this, we use discordant read pairs to narrow the search space and split prospective breakpoint-spanning reads into windows that are subsequently represented by a sequence of k-mers indexes, which we call fingerprints. We then apply a distance-preserving embedding algorithm to solve the approximate nearest neighbor problem of pairing the most similar fingerprints originated from the sample and reference genome. Experimental results show the efficacy of the method to find reads containing breakpoints characterizing the PAX8-PPARγ rearrangement found in thyroid cancer samples. We also compare our results with the ones provided by two recently published algorithms for detecting structural variation in clinical data.

关键词： Genomics bioinformatics Biological cells Tides Cancer Sequential analysis Indexes

来源：评论

学校读者我要写书评

暂无评论

Noise propagation in metabolic pathways: the role of growth-mediated feedback

Noise propagation in metabolic pathways: the role of growth-...

引用

ieee conference on Decision and Control

作者： A. Borri P. Palumbo A. Singh Istituto di Analisi dei Sistemi e Informatica "A Ruberti" Italian National Research Council (IASI-CNR) Roma Italy University of Milano-Bicocca Milan Italy Istituto di Analisi de Sistemi e Informatica "A. Ruberti" Italian National Research Council (IASI-CNR) Roma Italy Center for Bioinformatics and Computational Biology University of Delaware Newark DE USA

ISBN: (数字)9781728174471

ISBN: (纸本)9781728174488

Metabolic networks are known to deal with the chemical reactions responsible to fuel cellular activities with energy and carbon source and, as a matter of fact, to set the growth rate of the cell. To this end, feedback and regulatory networks play a crucial role to handle adaptation to external perturbations and internal noise. In this work, a cellular resource is assumed to be activated at the end of a metabolic pathway, by means of a cascade of transformations. Such a cascade is triggered by the catalytic action of enzymes that promote the transformations. The final product is responsible for the cellular growth rate modulation. This mechanism acts in feedback at the enzymatic level, since the upstream enzyme (as well as all species) is subject to clearance, with the clearance rate proportional to growth. The upstream enzymatic production is modeled by the occurrence of noisy bursts: a Stochastic Hybrid System is exploited to model the network and to investigate how such noise propagates on growth fluctuations. A major biological finding is that the delay introduced by the cascade length helps in reducing the impact of enzymatic noise on to growth fluctuations. Further, if feedback is removed from the scheme, growth rate fluctuations increase, according to the same stationary values. Analytical results are supported by Monte Carlo simulations.

关键词： Biochemistry Mathematical model Production Degradation Stochastic processes Delays Chemicals

来源：评论

学校读者我要写书评

暂无评论

Application of Artificial intelligence in Malignant Tumors: A Science Mapping Analysis

Application of Artificial Intelligence in Malignant Tumors: ...

引用

ieee Control and System Graduate Research Colloquium (ICSGRC)

作者： Samuel-Soma M. Ajibade Anwar P.P. Abdul Majeed Muhammed Basheer Jasser Ghassan Saleh ALDharhani Ismail Ahmed Al-Qasem Al-Hadi Ganesh Kumar Department of Computing and Information Systems School of Engineering & Technology Sunway University Petaling Jaja Selangor Malaysia Department of Computer Engineering Istanbul Ticaret Universitesi Istanbul Turkiye Institute of Computer Science and Digital Innovation UCSI University Kuala Lumpur Malaysia Faculty of Information Science and Technology UKM University Bangi Selangor Malaysia

ISBN: (数字)9798350386554

ISBN: (纸本)9798350386561

A Science mapping analysis was performed on Scopus papers spanning from 2003 to 2022 to investigate the utilization of artificial intelligence techniques in malignant tumors research. The analysis unveiled a progressive rise in publications, amounting to a total of 206, with articles accounting for 55.34% and conference papers making up 44.66%. Zuherman Rustam and Universitas Indonesia made substantial contributions. India's exceptional performance might be due to the availability of financial support from prestigious organizations such as Universitas Indonesia, the National Natural Science Foundation of China, and Brazil's Conselho Nacional de Desenvolvimento Científico e Tecnológico. An investigation of social networks, specifically looking at collaborations between authors, revealed robust international cooperation, which improved the availability of resources and infrastructure. The hotspot research revealed the prominent terms to be genetic algorithms, diseases, and feature extraction. The cluster analysis identified three main areas of focus: Precision Health Analytics, Genomic Cancer Profiling, and Integrated AI Diagnosis. In summary, AIMTR research is actively tackling cancer and oncological concerns through the use of computational approaches, making substantial contributions to both societal and scientific progress.

关键词： Productivity Social networking (online) Genomics Organizations Market research Paper making Artificial intelligence bioinformatics Cancer Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Quantifying statistics of gene product copy-number fluctuations: A stochastic hybrid systems approach

Quantifying statistics of gene product copy-number fluctuati...

引用

ieee conference on Decision and Control

作者： Zahra Vahdat Abhyudai Singh Department of Electrical and Computer Engineering University of Delaware Newark DE USA Department of Electrical and Computer Engineering Biomedical Engineering Mathematical Sciences Center for Bioinformatics and Computational Biology University of Delaware Newark DE USA

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

Across diverse cell types, genes are often expressed at low levels resulting in significant stochastic fluctuations (noise) in intracellular copy number of mRNAs and proteins over time. Motivated by single-cell experiments, we capture this stochasticity by considering a given gene that toggles between transcriptionally active and inactive states with the time spent in each state being an arbitrary random variable. mRNAs are synthesized from the active state as per a Poisson process and each molecule degrades after a random lifespan (i.e., random time from birth to death). Modeling this process using the Stochastic Hybrid System (SHS) formalism we derive exact analytical results for the statistical moments of molecular counts. Our results show that for fixed mean mRNA numbers, fluctuations in mRNA levels are amplified with decreasing noise in mRNA lifespan. Relaxing the Poisson process assumption, we next consider a scenario where transcription events occur such that the time between successive events is an arbitrarily distributed random variable. In this case, we show that decreasing noise in mRNA lifespan can both increase/decrease mRNA count fluctuations depending on the underlying transcriptional process. Finally, we extend these results to the protein level, where increasing noise in mRNA counts is sometimes associated with decreasing noise in protein copy numbers.

关键词： Proteins Analytical models Fluctuations Exponential distribution Noise Stochastic processes Information processing Random variables Timing Kinetic theory

来源：评论

学校读者我要写书评

暂无评论

Implementing a modeling software for animated protein-complex interactions using a physics simulation library

引用

JOURNAL OF bioinformatics AND computational biology 2014年第6期12卷 1442003-1442003页

作者： Ueno, Yutaka Ito, Shuntaro Konagaya, Akihiko AIST Hlth Res Inst Amagasaki Hyogo 6610974 Japan Nara Inst Sci & Technol Grad Sch Informat Sci Ikoma Nara 6300192 Japan Tokyo Inst Technol Dept Computat Intelligence & Syst Sci Midori Ku Yokohama Kanagawa 2268502 Japan

To better understand the behaviors and structural dynamics of proteins within a cell, novel software tools are being developed that can create molecular animations based on the findings of structural biology. This study proposes our method developed based on our prototypes to detect collisions and examine the soft-body dynamics of molecular models. The code was implemented with a software development toolkit for rigid-body dynamics simulation and a three-dimensional graphics library. The essential functions of the target software system included the basic molecular modeling environment, collision detection in the molecular models, and physical simulations of the movement of the model. Taking advantage of recent software technologies such as physics simulation modules and interpreted scripting language, the functions required for accurate and meaningful molecular animation were implemented efficiently.

关键词： Molecular graphics physics simulation scripting language

来源：评论

学校读者我要写书评

暂无评论

Weighted amino acid composition based on amino acid indices for prediction of protein structural classes

Weighted amino acid composition based on amino acid indices ...

引用

ieee EMBS International conference on Information Technology Applications in Biomedicine (ITAB)

作者： Sundeep Singh Nanuwa André Dziurla Huseyin Seker Bio-Health Informatics Research Group Centre for Computational Intelligence Department of Informatics Technology De Montfort University Leicester UK

Prediction of protein structural classes is one of the most important and challenging tasks in the bioinformatics field. A protein is classified into one of the four main types of protein structural classes; all-¿, all-ß, ¿/ß and ¿+ß. This paper investigates the role of amino acid indices (AAI) combined with traditional amino acid composition (AAC) to create a weighted amino acid composition (WAAC) feature-set to predict the structural class of a protein. There are over 500 amino acid indices that can be used to develop the novel weighted amino acid composition feature-set which has a great potential of increasing accuracy for the prediction of protein structural classes. For evaluation of these indices a high quality 40% homology dataset is used that contains over 7000 protein sequences (the largest of its kind) extracted from proteomic databases. The predictive technique developed is an optimum k-nearest-neighbour classifier, named multiple-k-nearest-neighbour (MKNN). In order to evaluate the classifier a 10- fold cross-validation test procedure is used throughout the study. Over 1 million analyses were carried out, the highest accuracy obtained was from index LEVM780101 at 48.35%, which is 9% higher than traditional AAC and 6.6% higher than that of the best sequence-driven-feature sub-set used in other studies. There is great potential for further improvement as WAAC is a feature-set with the least number of attributes without any feature selection and the numbers of indices that yielded higher accuracies than traditional AAC and other sequence-driven-features are 536 and 435, respectively, out of the 548 amino acid indices analysed in this study.

关键词： Amino acids Spatial databases Accuracy Protein engineering bioinformatics Proteomics Informatics Information technology Testing Drugs

来源：评论

学校读者我要写书评

暂无评论

Gene Ontology Automatic Annotation Using a Domain Based Gene Product Similarity Measure

Gene Ontology Automatic Annotation Using a Domain Based Gene...

引用

ieee International conference on Fuzzy Systems (FUZZ-ieee)

作者： M. Popescu J.M. Keller J.A. Mitchell Health Management and Informatics Department University of Missouri Columbia USA Electrical and Computer Engineering Department University of Missouri Columbia USA

Recent years have seen an explosive growth in the amount of biological data available for analysis. The large volume of data collected makes it necessary to automatically classify and sort such data on a very large scale. Typically, investigators use computational sequence analysis tools to assign functions to newly found gene products. The problem is to find the functions of a (unknown) gene product given its amino acid sequence. In this work we search for functional similarity between gene products by matching the functional domains that they contain. The domain-based approach addresses the main problem of sequence-based similarity, i.e., when the region of a gene product that is matched by a query sequence is not related to the function of that gene product. We use the hidden Markov representation of a gene product domain as described in the PFAM database, and then infer annotations that come from the Gene Ontology. To compute domain similarity between two gene products we introduce a fuzzy Jaccard similarity measure. We tested our domain-based similarity for the functional annotation of a set of 194 gene products extracted from the ENSEMBL Web site. We compared the domain similarity approach to the traditional way of performing functional annotation using a sequence-based similarity (BLAST and Smith-Waterman). The annotation was performed in all cases using a fuzzy K-nearest neighbor algorithm. We found that our domain-based annotation was better than the most common BLAST approach, but not as good as complex Smith-Waterman technique. The domain-based annotation has about 70% correct annotation rate at 17% false annotation rate

关键词： Ontologies Databases Proteins biology computing Amino acids Genomics bioinformatics Electric variables measurement Engineering management Biomedical informatics

来源：评论

学校读者我要写书评

暂无评论

Characterizing label errors: Confident learning for noisy-labeled image segmentation 23rd

Characterizing label errors: Confident learning for noisy-la...

引用

23rd International conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020

作者： Zhang, Minqing Gao, Jiantao Lyu, Zhen Zhao, Weibing Wang, Qin Ding, Weizhen Wang, Sheng Li, Zhen Cui, Shuguang Shenzhen Research Institute of Big Data The Chinese University of Hong Kong ShenzhenGuangdong China Warshel Institute for Computational Biology The Chinese University of Hong Kong ShenzhenGuangdong China School of Mechatronic Engineering and Automation Shanghai University Shanghai China Tencent AI Lab Bellevue United States

ISBN: (纸本)9783030597092

Convolutional neural networks (CNNs) have achieved remarkable performance in image processing for its mighty capability to fit huge amount of data. However, if the training data are corrupted by noisy labels, the resulting performance might be deteriorated. In the domain of medical image analysis, this dilemma becomes extremely severe. This is because the medical image annotation always requires medical expertise and clinical experience, which would inevitably introduce subjectivity. In this paper, we design a novel algorithm based on the teacher-student architecture for noisy-labeled medical image segmentation. Creatively, We introduce confident learning (CL) method to identify the corrupted labels and endow CNN an anti-interference ability to the noises. Specifically, the CL technique is introduced to the teacher model to characterize the suspected wrong-labeled pixels. Since the noise identification maps are a little away from sufficient precision, the spatial label smoothing regularization technique is utilized to generate soft-corrected masks for training the student model. Since our method identifies and revises the noisy labels of the training data in a pixel-level rather than simply assigns lower weights to the noisy masks, it outperforms the state-of-the-art method in the noisy-labeled image segmentation task on the JSRT dataset, especially when the training data are severely corrupted by noises. © Springer Nature Switzerland AG 2020.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

PARP1 gene variation and microglial activity on [11C]PBR28 PET in older adults at risk for Alzheimer's disease

PARP1 gene variation and microglial activity on [11C]PBR28 P...

引用

3rd International Workshop on Multimodal Brain Image Analysis, MBIA 2013, Held in Conjunction with the 16th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013

作者： Kim, Sungeun Nho, Kwangsik Risacher, Shannon L. Inlow, Mark Swaminathan, Shanker Yoder, Karmen K. Shen, Li West, John D. McDonald, Brenna C. Tallman, Eileen F. Hutchins, Gary D. Fletcher, James W. Farlow, Martin R. Ghetti, Bernardino Saykin, Andrew J. Center for Neuroimaging Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis IN United States Center for Computational Biology and Bioinformatics Indiana University School of Medicine Indianapolis IN United States Indiana Alzheimer Disease Center Indiana University School of Medicine Indianapolis IN United States Department of Mathematics Rose-Hulman Institute of Technology Terre Haute IN United States Department of Neurology Indiana University School of Medicine Indianapolis IN United States Indiana Institute for Biomedical Imaging Sciences Indiana University School of Medicine Indianapolis IN United States Department of Pathology and Laboratory Medicine Indiana University School of Medicine Indianapolis IN United States Department of Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN United States

ISBN: (纸本)9783319021256

Increasing evidence suggests that inflammation is one pathophysiological mechanism in Alzheimer's disease (AD). Recent studies have identified an association between the poly (ADP-ribose) polymerase 1 (PARP1) gene and AD. This gene encodes a protein that is involved in many biological functions, including DNA repair and chromatin remodeling, and is a mediator of inflammation. Therefore, we performed a targeted genetic association analysis to investigate the relationship between the PARP1 polymorphisms and brain microglial activity as indexed by [11C]PBR28 positron emission tomography (PET). Participants were 26 non-Hispanic Caucasians in the Indiana Memory and Aging Study (IMAS). PET data were intensity-normalized by injected dose/total body weight. Average [11C]PBR28 standardized uptake values (SUV) from 6 bilateral regions of interest (thalamus, frontal, parietal, temporal, and cingulate cortices, and whole brain gray matter) were used as endophenotypes. Single nucleotide polymorphisms (SNPs) with 20% minor allele frequency that were within +/- 20 kb of the PARP1 gene were included in the analyses. Gene-level association analyses were performed using a dominant genetic model with translocator protein (18-kDa) (TSPO) genotype, age at PET scan, and gender as covariates. Analyses were performed with and without APOE Ε4 status as a covariate. Associations with [11C]PBR28 SUVs from thalamus and cingulate were significant at corrected p11C]PBR28 SUV showed that individuals with the "C" allele at rs6677172 and "A" allele at rs61835377 had higher [11C]PBR28 SUV than individuals without these alleles (corrected P11C]PBR28 SUV and brain atrophy at a follow-up visit, suggesting possible protective effect of microglial activity against cortical atrophy. Interestingly, all 6 AD and 2 of 3 LMCI participants in the current analysis had one or more copies of the "GG" allele combination, associated with lower cingulate [ 11C]PBR28 SUV, suggesting that this gene variant warrants fu

关键词： Positron emission tomography

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：