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Related Concept Videos

Isomerism02:43

Isomerism

18.6K
Isomers are molecules with the same molecular formula but different structural arrangements. Isomers can be further classified into constitutional isomers and stereoisomers. Constitutional isomers differ in the connectivity of their constituent atoms. For example, 2-butanol and diethyl ether are constitutional isomers, as they have the same chemical formula, C4H10O, but differ in the connectivity of the carbon and oxygen atoms. Constitutional isomers have different physical and chemical...
18.6K
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

2.5K
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
2.5K
Stereoisomerism02:52

Stereoisomerism

12.2K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula.
Transition metal complexes often exist as geometric isomers, in which the same atoms are connected through the same types of bonds but with differences in their orientation in space. Coordination complexes with two different ligands in the cis and trans positions from a ligand of interest form isomers. For example, the octahedral [Co(NH3)4Cl2]+ ion has two isomers (Figure 1) In the cis...
12.2K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

833
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
833
Stereoisomerism of Cyclic Compounds02:33

Stereoisomerism of Cyclic Compounds

9.0K
In this lesson, we delve into the role of ring conformation and its stability, which determines the spatial arrangement and, consequently, the molecular symmetry and stereoisomerism of cyclic compounds. 1,2-Dimethylcyclohexane is used as a case study to evaluate the possible number of stereoisomers. Here, given the multiple (n = 2) chiral centers, there are 2n = 4 possible configurations that lack a plane of symmetry, as the ring skeleton exists in a non-planar chair conformation. In addition,...
9.0K
Structural Isomerism02:34

Structural Isomerism

19.5K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
19.5K

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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing.

Zhihao Hao, Guancheng Wang, Bob Zhang

    IEEE Transactions on Neural Networks and Learning Systems
    |May 23, 2023
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    Summary
    This summary is machine-generated.

    This study introduces a novel distributed deep learning model for public sentiment analysis on social media. It enhances incident resolution by improving sentiment acquisition through trusted collaboration and dynamic model weighting.

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    Area of Science:

    • Social Media Analysis
    • Natural Language Processing
    • Distributed Deep Learning

    Background:

    • Public sentiment drives social media opinion dissemination, crucial for resolving social incidents.
    • Acquiring public sentiment is complex due to environmental factors (geography, politics, ideology).
    • Traditional centralized models face challenges like model silos and security risks.

    Purpose of the Study:

    • To develop a robust method for public sentiment acquisition in social media.
    • To address the complexity and security concerns of traditional sentiment analysis models.
    • To propose a novel distributed deep learning model for improved sentiment analysis.

    Main Methods:

    • A hierarchical mechanism decomposes sentiment acquisition into incident classification and review sentiment analysis.
    • A distributed deep learning model, isomerism learning based on blockchain, is proposed for trusted, parallel model training.
    • A method to measure event objectivity dynamically assigns model weights to handle text heterogeneity.

    Main Results:

    • The proposed model significantly improves performance in public sentiment acquisition.
    • Isomerism learning enables trusted collaboration between models via parallel training.
    • Dynamic model weighting enhances aggregation efficiency for heterogeneous text data.

    Conclusions:

    • The novel distributed deep learning approach effectively enhances public sentiment acquisition and analysis.
    • Blockchain-based isomerism learning offers a secure and collaborative alternative to centralized models.
    • The method demonstrates superior performance compared to state-of-the-art techniques in sentiment analysis.