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  1. Article ; Online: Causal Confirmation Measures: From Simpson's Paradox to COVID-19.

    Lu, Chenguang

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 1

    Abstract: When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson's Paradox. The Existing Causal Inference Theory (ECIT) can make the overall conclusion ... ...

    Abstract When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson's Paradox. The Existing Causal Inference Theory (ECIT) can make the overall conclusion consistent with the grouping conclusion by removing the confounder's influence to eliminate the paradox. The ECIT uses relative risk difference
    Language English
    Publishing date 2023-01-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25010143
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning.

    Lu, Chenguang

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 5

    Abstract: A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and ...

    Abstract A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author's semantic information G theory with the rate-fidelity function
    Language English
    Publishing date 2023-05-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25050802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Analysis of the effectiveness of multi-disciplinary team integrated management combined with full-media health education intervention in patients with coronary heart disease and diabetes mellitus.

    Lu, Caiping

    Biotechnology & genetic engineering reviews

    2023  , Page(s) 1–15

    Abstract: Objective: To study the effect of a multi-disciplinary team (MDT) integrated management combined with all-media health education intervention on patients with coronary heart disease (CHD) and diabetes mellitus (DM).: Methods: Fasting plasma glucose ( ... ...

    Abstract Objective: To study the effect of a multi-disciplinary team (MDT) integrated management combined with all-media health education intervention on patients with coronary heart disease (CHD) and diabetes mellitus (DM).
    Methods: Fasting plasma glucose (FPG), systolic blood pressure (SBP), and total cholesterol (TC) were evaluated before and after the intervention. The general self-efficacy scale (GSES) was utilized to assess the self-efficacy. Self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to evaluate depression and anxiety. The Seattle Angina Questionnaire (SAQ), a CHD-specific functional status and quality of life self-measurement tool, was employed to evaluate the quality of life.
    Results: After the intervention, the levels of FPG, systolic blood pressure, SAS, SDS, and TC in the three groups all decreased (C>B>A,P<0.05). After the intervention, the self-efficacy scores of all three groups were improved (A>B>C, P < 0.05). After the intervention, the score of quality of life in group A and group B was higher than that in group C, and the score in group A was higher than that in group B (P<0.05).
    Conclusion: MDT integrated management combined with all-media health education intervention can effectively ameliorate blood glucose, blood pressure, and blood lipids of patients with CHD and DM, promote their healthy life, improve their self-efficacy, and improve their negative emotions and quality of life.
    Language English
    Publishing date 2023-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 49457-4
    ISSN 2046-5556 ; 0264-8725
    ISSN (online) 2046-5556
    ISSN 0264-8725
    DOI 10.1080/02648725.2023.2202518
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The Relationship between Parental Emotional Warmth and Rural Adolescents' Hope: The Sequential Mediating Role of Perceived Social Support and Prosocial Behavior.

    Lu, Chunli

    The Journal of genetic psychology

    2022  Volume 184, Issue 4, Page(s) 260–273

    Abstract: Parental emotional warmth plays a prominent role in adolescents' hope, but few studies have examined the underlying mechanism between parental emotional warmth and hope in rural adolescents, or have compared the gender differences in the mediation models ...

    Abstract Parental emotional warmth plays a prominent role in adolescents' hope, but few studies have examined the underlying mechanism between parental emotional warmth and hope in rural adolescents, or have compared the gender differences in the mediation models between parental emotional warmth and hope. Based on the developmental contextualism theory and Bernardo's hope theory, this study examined the sequential mediating effect of perceived social support and prosocial behavior between parental emotional warmth and hope and test the gender differences between them. Seventeen hundred and one rural adolescents were surveyed with the Short-Form Egna Minnen av Barndoms Uppfostran (s-EMBU-C), Perceived Social Support Scale (PSSS), Prosocial Tendency Measure (PTM), and Hope Scale (HS). Correlation analysis showed that there were positive correlations between parental emotional warmth, perceived social support, prosocial behavior, and hope. The structural equation model showed that parental emotional warmth indirectly affected hope through the separate and sequential mediation of perceived social support and prosocial behavior. Multi-group analysis showed that boys were significantly higher than girls in the relationship between perceived social support and prosocial behavior. The results emphasized that improving parental emotional warmth, perceived social support, and encouraging rural adolescents' prosocial behavior could effectively promote their hope.
    MeSH term(s) Male ; Female ; Humans ; Adolescent ; Parents/psychology ; Altruism ; Parent-Child Relations ; Emotions ; Social Support
    Language English
    Publishing date 2022-12-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3133-1
    ISSN 1940-0896 ; 0022-1325
    ISSN (online) 1940-0896
    ISSN 0022-1325
    DOI 10.1080/00221325.2022.2161343
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Causal Confirmation Measures

    Lu, Chenguang

    From Simpson's Paradox to COVID-19

    2023  

    Abstract: When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson's Paradox. The Existing Causal Inference Theory (ECIT) can make the overall conclusion ... ...

    Abstract When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson's Paradox. The Existing Causal Inference Theory (ECIT) can make the overall conclusion consistent with the grouping conclusion by removing the confounder's influence to eliminate the paradox. The ECIT uses relative risk difference Pd = max(0, (R - 1)/R) (R denotes the risk ratio) as the probability of causation. In contrast, Philosopher Fitelson uses confirmation measure D (posterior probability minus prior probability) to measure the strength of causation. Fitelson concludes that from the perspective of Bayesian confirmation, we should directly accept the overall conclusion without considering the paradox. The author proposed a Bayesian confirmation measure b* similar to Pd before. To overcome the contradiction between the ECIT and Bayesian confirmation, the author uses the semantic information method with the minimum cross-entropy criterion to deduce causal confirmation measure Cc = (R -1)/max(R, 1). Cc is like Pd but has normalizing property (between -1 and 1) and cause symmetry. It especially fits cases where a cause restrains an outcome, such as the COVID-19 vaccine controlling the infection. Some examples (about kidney stone treatments and COVID-19) reveal that Pd and Cc are more reasonable than D; Cc is more useful than Pd.

    Comment: 21 pages, 4 figures
    Keywords Computer Science - Artificial Intelligence ; 03B48 ; 68T37 ; 03B42 ; 03B52 ; 03B65 ; 62F15 ; 94A15 ; 68T27 ; 91B30 ; K.3.2 ; F.4.0 ; H.1.1 ; I.5.1 ; I.2.3 ; I.2.4
    Subject code 160
    Publishing date 2023-02-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning

    Lu, Chenguang

    2023  

    Abstract: A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and ...

    Abstract A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author's semantic information G theory with the rate-fidelity function R(G) (G denotes SeMI, and R(G) extends R(D)) and its applications to multi-label learning, the maximum Mutual Information (MI) classification, and mixture models. Then it discusses how we should understand the relationship between SeMI and Shan-non's MI, two generalized entropies (fuzzy entropy and coverage entropy), Autoencoders, Gibbs distributions, and partition functions from the perspective of the R(G) function or the G theory. An important conclusion is that mixture models and Restricted Boltzmann Machines converge because SeMI is maximized, and Shannon's MI is minimized, making information efficiency G/R close to 1. A potential opportunity is to simplify deep learning by using Gaussian channel mixture models for pre-training deep neural networks' latent layers without considering gradients. It also discusses how the SeMI measure is used as the reward function (reflecting purposiveness) for reinforcement learning. The G theory helps interpret deep learning but is far from enough. Combining semantic information theory and deep learning will accelerate their development.

    Comment: 34 pages, 9 figures. published in Entropy, 2023
    Keywords Computer Science - Information Theory ; Computer Science - Machine Learning ; 68P30 ; 94A29 ; 94A34 ; 94A15 ; 94A17 ; 62B10 ; 68T05 ; 62F15 ; 92B20 ; H.1.1 ; I.1.2 ; I.2.4 ; I.2.6 ; I.5.3 ; G.3 ; E.4
    Subject code 006
    Publishing date 2023-05-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Thesis ; Online: Dancing with a versatile microbe

    Lu, Chunzhe

    Rendering Pseudomonas putida a mediumchain-length α,ω-diol producer

    2023  

    Keywords Life Science
    Language English
    Publisher Wageningen University
    Publishing country nl
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Using the Semantic Information G Measure to Explain and Extend Rate-Distortion Functions and Maximum Entropy Distributions.

    Lu, Chenguang

    Entropy (Basel, Switzerland)

    2021  Volume 23, Issue 8

    Abstract: In the rate-distortion function and the Maximum Entropy (ME) method, Minimum Mutual Information (MMI) distributions and ME distributions are expressed by Bayes-like formulas, including Negative Exponential Functions (NEFs) and partition functions. Why do ...

    Abstract In the rate-distortion function and the Maximum Entropy (ME) method, Minimum Mutual Information (MMI) distributions and ME distributions are expressed by Bayes-like formulas, including Negative Exponential Functions (NEFs) and partition functions. Why do these non-probability functions exist in Bayes-like formulas? On the other hand, the rate-distortion function has three disadvantages: (1) the distortion function is subjectively defined; (2) the definition of the distortion function between instances and labels is often difficult; (3) it cannot be used for data compression according to the labels' semantic meanings. The author has proposed using the semantic information G measure with both statistical probability and logical probability before. We can now explain NEFs as truth functions, partition functions as logical probabilities, Bayes-like formulas as semantic Bayes' formulas, MMI as Semantic Mutual Information (SMI), and ME as extreme ME minus SMI. In overcoming the above disadvantages, this paper sets up the relationship between truth functions and distortion functions, obtains truth functions from samples by machine learning, and constructs constraint conditions with truth functions to extend rate-distortion functions. Two examples are used to help readers understand the MMI iteration and to support the theoretical results. Using truth functions and the semantic information G measure, we can combine machine learning and data compression, including semantic compression. We need further studies to explore general data compression and recovery, according to the semantic meaning.
    Language English
    Publishing date 2021-08-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e23081050
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Decoding the function of an oncogenic transcription factor: finding the first responders.

    Lu, Chao

    Molecular cell

    2021  Volume 81, Issue 3, Page(s) 418–420

    Abstract: Transcription factors (TFs) are frequently altered in human diseases. Identifying the direct and immediate target genes of TFs is critical to understanding their role in pathophysiology. Stengel et al. (2020) applied chemogenetic and nascent ... ...

    Abstract Transcription factors (TFs) are frequently altered in human diseases. Identifying the direct and immediate target genes of TFs is critical to understanding their role in pathophysiology. Stengel et al. (2020) applied chemogenetic and nascent transcriptome mapping technologies to define the core gene set regulated by AML1-ETO-an oncogenic TF fusion protein frequently found in acute myeloid leukemia (AML).
    MeSH term(s) Core Binding Factor Alpha 2 Subunit/genetics ; Emergency Responders ; Humans ; Leukemia, Myeloid, Acute/genetics ; Oncogene Proteins, Fusion/genetics ; RUNX1 Translocation Partner 1 Protein/genetics ; Translocation, Genetic
    Chemical Substances AML1-ETO fusion protein, human ; Core Binding Factor Alpha 2 Subunit ; Oncogene Proteins, Fusion ; RUNX1 Translocation Partner 1 Protein
    Language English
    Publishing date 2021-02-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 1415236-8
    ISSN 1097-4164 ; 1097-2765
    ISSN (online) 1097-4164
    ISSN 1097-2765
    DOI 10.1016/j.molcel.2021.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Risk of adverse reactions associated with inhaled corticosteroids for chronic obstructive pulmonary disease: A meta-analysis.

    Lu, Chenghe / Mao, Xinghua

    Medicine

    2024  Volume 103, Issue 3, Page(s) e36609

    Abstract: Background: In the majority of current therapeutic regimens for chronic obstructive pulmonary disease (COPD), bronchodilators are coupled with inhaled corticosteroids (ICS) to lower the inflammatory response and improve symptoms. This study aims to ... ...

    Abstract Background: In the majority of current therapeutic regimens for chronic obstructive pulmonary disease (COPD), bronchodilators are coupled with inhaled corticosteroids (ICS) to lower the inflammatory response and improve symptoms. This study aims to evaluate the safety of ICS in the treatment of COPD.
    Methods: Randomized controlled trials related to ICS for COPD that were eligible up to 1 June 2023 were searched in PubMed, EMBASE, and Cochrane. We searched and screened eligible studies for the occurrence of total adverse events, cardiovascular events, upper respiratory tract infections (URTI), pneumonia, oral Candida infections, and musculoskeletal disorders, and finally analyzed them by Review Manager 5.4.1.
    Results: The results showed that ICS increased the incidence of adverse reactions in COPD patients (RR = 1.06, 95% CI: 1.03-1.10, P = .0004); ICS treatment did not increase the risk of cardiovascular events in COPD patients (RR = 0.95, 95% CI: 0.88-1.02, P = .14); ICS increased the incidence of URTI in COPD patients (RR = 1.29, 95% CI: 1.02-1.62, P = .03); ICS increased the incidence of pneumonia in patients with COPD (RR = 2.09, 95% CI: 1.63-2.69, P < .00001); ICS treatment significantly increased the incidence of oral Candida in patients with COPD (RR = 2.96, 95% CI: 1.99-4.41, P < .00001); ICS increased the incidence of musculoskeletal disorders in patients with COPD (RR = 2.87, 95% CI: 1.51-5.45, P = .001).
    Conclusion: ICS does not increase the risk of cardiovascular events in patients with COPD, but it does increase the risk of URTI, pneumonia, oral Candida infections, and musculoskeletal disorders in patients with COPD.
    MeSH term(s) Humans ; Administration, Inhalation ; Adrenal Cortex Hormones/therapeutic use ; Pneumonia/chemically induced ; Pneumonia/epidemiology ; Pneumonia/complications ; Respiratory Tract Infections/complications ; Pulmonary Disease, Chronic Obstructive ; Musculoskeletal Diseases/chemically induced ; Musculoskeletal Diseases/epidemiology ; Musculoskeletal Diseases/complications ; Cardiovascular Diseases/complications ; Candidiasis/drug therapy
    Chemical Substances Adrenal Cortex Hormones
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000036609
    Database MEDical Literature Analysis and Retrieval System OnLINE

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