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Seismic data Processing and interpretation on the Loess Plateau, Part1: Seismic data Processing

Applied Geophysics 2005年第4期2卷 241-246页

作者：蒋茄钰付守献李九灵东方地球物理公司研究院长庆分院西安长庆兴隆园区710021

Branching river channels and the coexistence of valleys, ridges, hiils, and slopes＇as the result of long-term weathering and erosion form the unique loess topography. The Changqing Geophysical Company, working in these complex conditions, has established a suite of technologies for high-fidelity processing and fine interpretation of seismic data. This article introduces the processes involved in the data processing and interpretation and illustrates the results.

关键词： loess plateau seismic data processing statics bin optimization noise attenuation data interpretation

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Computational Approaches and Challenges in Spatial Transcriptomics

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Genomics, Proteomics & Bioinformatics 2023年第1期21卷 24-47页

作者： Shuangsang Fang Bichao Chen Yong Zhang Haixi Sun Longqi Liu Shiping Liu Yuxiang Li Xun Xu BGI-Shenzhen Shenzhen 518083China BGI-Beijing Beijing 100101China Guangdong Bigdata Engineering Technology Research Center for Life Sciences Shenzhen 518083China

The development of spatial transcriptomics(ST)technologies has transformed genetic research from a single-cell data level to a two-dimensional spatial coordinate system and facilitated the study of the composition and function of various cell subsets in different environments and *** large-scale data generated by these ST technologies,which contain spatial gene expression information,have elicited the need for spatially resolved approaches to meet the requirements of computational and biological data *** requirements include dealing with the explosive growth of data to determine the cell-level and gene-level expression,correcting the inner batch effect and loss of expression to improve the data quality,conducting efficient interpretation and in-depth knowledge mining both at the single-cell and tissue-wide levels,and conducting multi-omics integration analysis to provide an extensible framework toward the in-depth understanding of biological ***,algorithms designed specifically for ST technologies to meet these requirements are still in their ***,we review computational approaches to these problems in light of corresponding issues and challenges,and present forward-looking insights into algorithm development.

关键词： Spatial transcriptomics Computational approach data quality data interpretation Multi-omics integration

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Research and Design of a Fuzzy Neural Expert System

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Journal of Computer Science & Technology 1995年第2期10卷 112-123页

作者：王仕军王树林 National Research Center for Intelligent Computing System Institute of Computing Technology The Chinese Academy of Sciences Beijing

We have developed a fuzzy neural expert system that has the precisionand learning ability of a neural network. Knowledge is acquired from domainexperts as fuzzy rules and membership functions. Then, they are convertedinto a neural network which implements fuzzy inference without rule *** neural network is applied to problem-solving and learns from the dataobtained during operation to enhance the accuracy The learning ability of theneural network makes it easy to modify the membership functions defined bydomain experts. Also, by modifying the weights of neural networks adaptively,the problem of belief propagation in conventional expert systems can be solvedeasily. Converting the neural network back iato fuzzy rules and membershipfunctions helps explain the inner representation and operation of the neuralnetwork.

关键词： data interpretation fuzzy neural network expert sysyem

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Mass spectrometry-based phosphoproteomics in cancer research

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Frontiers in Biology 2012年第6期7卷 566-586页

作者： Xiao-Shan YUE Amanda B. HUMMON Department of Chemistry and Biochemistry University of Notre Dame Notre Dame IN 46556 USA

Phosphorylation is one of the most common post translational modifications （PTM）, participating in a large number of processes to regulate cellular functions. Phosphorylation is also one of the key factors in the origin and development of cancer. The rapid development of mass spectrometric-based phosphoproteomic technologies has made it possible for high-throughput identification and quantification of phosphorylation events. In this review, we provide a general introduction and summary of the achievements made in mass spectrometry based phosphoproteomic research, including the approaches for phosphopeptide identification and quantification, as well as instrumentation and data interpretation methods. We also review some discoveries in cancer research made possible by phosphoproteomic analysis technologies.

关键词： phosphoproteomics mass spectrometry cancer research phosphopeptide enrichment quantitative phosphoproteomics data interpretation

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Health 2020年第10期12卷 1360-1370页

作者： Lucas Lima de Carvalho Lucas Rodrigues Claro Amanda dos Santos Cabral Marcela Pereira da Silva Mello Bruna Liane Passos Lucas Marcelly Valadares Souza Simone Fonseca Lucas Alexandre Oliveira Tellles Ravini Fernandez dos Santos Vieira dos Santos Marcia Augusta Pereira dos Santos Claudia Lima Campos Alzuguir Maria Cristina Dias da Silva Antonio Eduardo Vieira dos Santos Maria Antonieta Rubio Tyrrell Eduardo Alexander Júlio César Fonseca Lucas Anna Nery School of Nursing Federal University of Rio de Janeiro Rio de Janeiro Brazil Celso Lisboa University Center Rio de Janeiro Brazil State Secretariat of Education of Rio de Janeiro Rio de Janeiro Brazil Department of Medicine in Primary Health Care Faculty of Medicine Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Maternal and Child Nursing Faculty of Nursing State University of Rio de Janeiro Rio de Janeiro Brazil Department of Maternal-Child Nursing Faculty of Nursing Fernandez Figueira Institute of the Oswaldo Cruz Foundation State University of Rio de Janeiro Rio de Janeiro Brazil

This documentary research aimed to describe the results of an epidemiological survey that sought to determine the prevalence of Infections Related to Health Care (IRHC) in newborns admitted to a Neonatal Intensive Care Unit (NICU) at the city of Rio de Janeiro. For methodology, the existing data in the original research database were used as the primary source. The method used was the case study in a quantitative approach. The data have been statistically arranged by odds ratio, which measured the possibility of IRHC development at the 102 newborns, by exposition at the risk factors. Results: IRHC prevalence with pneumonias, sepsis, navel’s infection and ocular infections predominance rises. Prematures are 4.10 more susceptible. Twelve hours after amniotic rupture there are 1.77 more chances of infections. Babies with more than 10 days of hospitalization are 4.70 more susceptible than those with 10 days. The registers examined were incipient at the IRHC’s characterization, beginning and duration, which make the IRHC’s diagnostic/notification difficult.

关键词： Neonatal Nursing Cross Infection data interpretation Statistical

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Three dimensional structure prediction and proton nuclear magnetic resonance analysis of toxic pesticides in human blood plasma

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The Journal of Biomedical Research 2012年第3期26卷 170-184页

作者： Amit Kumar Sharma Rajeev Kumar Tiwari Mulayam Singh Gaur Pesticides Research and Sensors Laboratory Department of PhysicsHindustan College of Science and TechnologyFarahMathura-281122(U.P.)India

The purpose of this study was to investigate the nuclear magnetic resonance （NMR） assignments of hydrolyzed products extracted from human blood plasma. The correlations between chemical, functional and structural prop- erties of highly toxic pesticides were investigated using the PreADME analysis. We observed that toxic pesticides possessed higher molecular weight and, more hydrogen bond donors and acceptors when compared with less toxic pesticides. The occurrence of functional groups and structural properties was analyzed using ~H-NMR. The ~H- NMR spectra of the phosphomethoxy class of pesticides were characterized by methyl resonances at 3.7-3.9 ppm （8） with the coupling constants of 11-16 Hz （Je-cns）. In phosphoethoxy pesticides, the methyl resonance was about 1.4 ppm （8） with the coupling constant of 10 Hz （Je-cH2） and the methylene resonances was 4.2-4.4 ppm （8） with the coupling constant of 0.8 Hz （Jp-cH3）, respectively. Our study shows that the values of four parameters such as chemical shift, coupling constant, integration and relaxation time correlated with the concentration of toxic pesticides, and can be used to characterise the proton groups in the molecular structures of toxic pesticides.

关键词： ^1H-NMR toxic pesticide nuclear magnetic resonance (NMR) parameter relaxation time computa- tional tool data interpretation

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