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  1. Article ; Online: Production Structure and Multiple Equilibria - A DSGE Perspective

    Hu Quan / Wang Siwei

    SHS Web of Conferences, Vol 163, p

    2023  Volume 02030

    Abstract: This paper integrates the Austrian school’s production structure theory and financial market theory, considers the impact of heterogeneity of firms’ production cycles on economic fluctuations, constructs a DSGE model that incorporates production ... ...

    Abstract This paper integrates the Austrian school’s production structure theory and financial market theory, considers the impact of heterogeneity of firms’ production cycles on economic fluctuations, constructs a DSGE model that incorporates production structure, and uses the model to analyse the existence of multiple equilibria and endogenous financial economic cycles. Compared with previous DSGE models, this paper highlights the asymmetry of firms’ responses due to the existence of different production cycles and considers emotional shocks as the main source of economic volatility, as Keynes’ “animal spirits” suggest.
    Keywords Social Sciences ; H
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Gap junctions: The missing piece of the connectome.

    Gutierrez, Gabrielle J / Wang, Siwei

    Current biology : CB

    2023  Volume 33, Issue 15, Page(s) R819–R822

    Abstract: The central pattern generator that controls flying power in Drosophila requires desynchronized firing to drive a steady wingbeat frequency. A new study reveals how gap junctions are the key to desynchronizing the motor neurons. ...

    Abstract The central pattern generator that controls flying power in Drosophila requires desynchronized firing to drive a steady wingbeat frequency. A new study reveals how gap junctions are the key to desynchronizing the motor neurons.
    MeSH term(s) Animals ; Connectome ; Gap Junctions ; Motor Neurons/physiology ; Drosophila
    Language English
    Publishing date 2023-08-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 1071731-6
    ISSN 1879-0445 ; 0960-9822
    ISSN (online) 1879-0445
    ISSN 0960-9822
    DOI 10.1016/j.cub.2023.06.058
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Restoring Treg/Th17 cell balance in ulcerative colitis through HRas silencing and MAPK pathway inhibition.

    Wang, Siwei / Su, Wenhao / Wu, Xiaohan / Dong, Weiguo

    International immunopharmacology

    2024  Volume 130, Page(s) 111608

    Abstract: This study investigates HRas-dependent mechanisms in the disruption of regulatory T (Treg) cells and T helper 17 (Th17) cells balance in ulcerative colitis (UC). Comprehensive RNA sequencing and bioinformatics analyses revealed elevated HRas and MAPK ... ...

    Abstract This study investigates HRas-dependent mechanisms in the disruption of regulatory T (Treg) cells and T helper 17 (Th17) cells balance in ulcerative colitis (UC). Comprehensive RNA sequencing and bioinformatics analyses revealed elevated HRas and MAPK pathway-related protein expression in UC samples. Using a murine UC model induced by dextran sulfate sodium (DSS), HRas silencing was found to promote Treg cell differentiation and suppress Th17 cell production, effectively restoring balance. Inactivation of the MAPK pathway played a pivotal role in this rebalancing effect. In vivo experiments further confirmed that HRas silencing mitigated colon tissue damage in DSS-induced mice, emphasizing its potential as a therapeutic strategy for UC.
    MeSH term(s) Animals ; Mice ; Colitis, Ulcerative/chemically induced ; Colitis, Ulcerative/genetics ; Colitis, Ulcerative/drug therapy ; Colon ; Th17 Cells ; T-Lymphocytes, Regulatory ; Cell Differentiation ; Dextran Sulfate/pharmacology ; Colitis/drug therapy ; Disease Models, Animal ; Mice, Inbred C57BL
    Chemical Substances Dextran Sulfate (9042-14-2)
    Language English
    Publishing date 2024-03-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2024.111608
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Thesis ; Online: Quantum Dynamics of Molecular Spontaneous Emission Process in a Complex Dielectric Environment

    Wang, Siwei

    2020  

    Abstract: Molecular spontaneous emission altered by dielectric environments has attracted extensive attention in the area of chemical physics during 1970-1980. Recently, due to remarkable progress in nanotechnology, the spontaneous emission of a single molecule in ...

    Abstract Molecular spontaneous emission altered by dielectric environments has attracted extensive attention in the area of chemical physics during 1970-1980. Recently, due to remarkable progress in nanotechnology, the spontaneous emission of a single molecule in nanocavities have been experimentally realized, and strong light-matter interactions between molecules and surface plasmon polaritons (SPPs) have been observed. However, in the traditional methods, the molecule is treated as a two-level system and the light field follows the classical Maxwell's Equations. Under such a strong couplings regime, one needs to use a full quantum method to study the dynamics of molecules strongly coupled with SPPs. Therefore, we adopt an advanced technique named macroscopic quantum electrodynamics (mQED) to explore the following subjects: (i) non-Markovian quantum dynamics of a molecule strongly coupled with SPPs. (ii) coherent-to-incoherent transition of molecular fluorescence controlled by the molecule-silver distance. (iii) molecular emission power spectrum in a complex dielectric environment. When a molecular emitter is near a silver surface, the reabsorption of the emitted photon leads to the non-Markovian dynamics of the molecule. Based on mQED, we propose a theory including molecular vibrations, which is general for molecular fluorescence in the presence of arbitrary inhomogeneous, dispersive, and absorbing media. Base on the first subject, we further study the quantum dynamics of molecular fluorescence with varying the metal-molecule distance. A clear coherent-to-incoherent transition is observed with increasing the distance. Moreover, in the incoherent regime, we prove that the exponential decay rate predicted by mQED is identical to the rate based on traditional methods. Additionally, we find that the coherent-to-incoherent transition can be controlled by the permittivity of the dielectric spacer. In the third subject, we derive the formulae of molecular emission power spectra which reflect the quantum dynamics of molecular fluorescence. Furthermore, we prove that it can be divided into the electromagnetic environment factor and the line shape function. To demonstrate the validity of our theory, we obtain the analytical results of the line shape function in two limits. In the incoherent limit, the line shape function follows the Franck-Condon principle. In the coherent limit, the line shape function shows the Rabi splitting.
    Keywords Molecular chemistry
    Subject code 541
    Language ENG
    Publishing date 2020-01-01 00:00:01.0
    Publisher Princeton University
    Publishing country us
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Dissipation and Safety Analysis of Dimethomorph Application in Lychee by High-Performance Liquid Chromatography-Tandem Mass Spectrometry with QuEChERS.

    Wang, Siwei / Wang, Xiaonan / Liu, Yanping / He, Qiang / Tian, Hai

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 8

    Abstract: This study presents a method for analyzing dimethomorph residues in lychee using QuEChERS extraction and HPLC-MS/MS. The validation parameters for this method, which include accuracy, precision, linearity, and recovery, indicate that it meets standard ... ...

    Abstract This study presents a method for analyzing dimethomorph residues in lychee using QuEChERS extraction and HPLC-MS/MS. The validation parameters for this method, which include accuracy, precision, linearity, and recovery, indicate that it meets standard validation requirements. Following first-order kinetics, the dissipation dynamic of dimethomorph in lychee was determined to range from 6.4 to 9.2 days. Analysis of terminal residues revealed that residues in whole lychee were substantially greater than those in the pulp, indicating that dimethomorph residues are predominantly concentrated in the peel. When applied twice and thrice at two dosage levels with pre-harvest intervals (PHIs) of 5, 7, and 10 days, the terminal residues in whole lychee ranged from 0.092 to 1.99 mg/kg. The terminal residues of the pulp ranged from 0.01 to 0.18 mg/kg, with the residue ratio of whole lychee to pulp consistently exceeding one. The risk quotient (RQ) for dimethomorph, even at the recommended dosage, was less than one, indicating that the potential for damage was negligible. This study contributes to the establishment of maximum residue limits (MRLs) in China by providing essential information on the safe application of dimethomorph in lychee orchards.
    MeSH term(s) Chromatography, High Pressure Liquid/methods ; Tandem Mass Spectrometry/methods ; Litchi/chemistry ; Morpholines/analysis ; Pesticide Residues/analysis ; Food Contamination/analysis
    Chemical Substances dimethomorph (3EXL2158GV) ; Morpholines ; Pesticide Residues
    Language English
    Publishing date 2024-04-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29081860
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method

    Wang, Siwei / Palmer, Stephanie E

    2023  

    Abstract: Neural collapse describes the geometry of activation in the final layer of a deep neural network when it is trained beyond performance plateaus. Open questions include whether neural collapse leads to better generalization and, if so, why and how ... ...

    Abstract Neural collapse describes the geometry of activation in the final layer of a deep neural network when it is trained beyond performance plateaus. Open questions include whether neural collapse leads to better generalization and, if so, why and how training beyond the plateau helps. We model neural collapse as an information bottleneck (IB) problem in order to investigate whether such a compact representation exists and discover its connection to generalization. We demonstrate that neural collapse leads to good generalization specifically when it approaches an optimal IB solution of the classification problem. Recent research has shown that two deep neural networks independently trained with the same contrastive loss objective are linearly identifiable, meaning that the resulting representations are equivalent up to a matrix transformation. We leverage linear identifiability to approximate an analytical solution of the IB problem. This approximation demonstrates that when class means exhibit $K$-simplex Equiangular Tight Frame (ETF) behavior (e.g., $K$=10 for CIFAR10 and $K$=100 for CIFAR100), they coincide with the critical phase transitions of the corresponding IB problem. The performance plateau occurs once the optimal solution for the IB problem includes all of these phase transitions. We also show that the resulting $K$-simplex ETF can be packed into a $K$-dimensional Gaussian distribution using supervised contrastive learning with a ResNet50 backbone. This geometry suggests that the $K$-simplex ETF learned by supervised contrastive learning approximates the optimal features for source coding. Hence, there is a direct correspondence between optimal IB solutions and generalization in contrastive learning.
    Keywords Computer Science - Machine Learning ; Computer Science - Information Theory
    Subject code 006
    Publishing date 2023-05-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Safe Application of 75% Trifloxystrobin-Tebuconazole as Water-Dispersible Granules in Paddy Based on Residue and Dietary Risk Assessment.

    Wang, Siwei / Liu, Yanping / Zhu, Manshan

    Molecules (Basel, Switzerland)

    2023  Volume 29, Issue 1

    Abstract: The present study describes the development of a highly effective approach for determining the residue distribution and dissipation of trifloxystrobin and tebuconazole, and their risk assessment in brown rice, husk, straw, and grain using high- ... ...

    Abstract The present study describes the development of a highly effective approach for determining the residue distribution and dissipation of trifloxystrobin and tebuconazole, and their risk assessment in brown rice, husk, straw, and grain using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The current study provides considerable novel information regarding the safe utilization of a mixture of trifloxystrobin and tebuconazole in paddy production. The samples demonstrated a range of mean recoveries between 72% and 86%, with a 1.1-9.2% relative standard deviation (RSD). The limits of quantification (LOQ) and half-lives (t
    MeSH term(s) Humans ; Tandem Mass Spectrometry ; Edible Grain ; Risk Assessment ; Water ; Triazoles ; Strobilurins ; Acetates ; Imines
    Chemical Substances tebuconazole (401ATW8TRW) ; trifloxystrobin (F625Z36B2D) ; Water (059QF0KO0R) ; Triazoles ; Strobilurins ; Acetates ; Imines
    Language English
    Publishing date 2023-12-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29010163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Safety Evaluation of Chlorantraniliprole in Lychee Based on Residue and Dietary Risk Assessment.

    Liu, Yanping / Wang, Xiaonan / Wang, Siwei

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 21

    Abstract: This report presents the development of a highly effective method employing high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to investigate chlorantraniliprole's dissipation, risk assessment, and residue distribution in whole ... ...

    Abstract This report presents the development of a highly effective method employing high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to investigate chlorantraniliprole's dissipation, risk assessment, and residue distribution in whole lychee fruit and its pulp. Mean recoveries of the samples ranged from 80 to 105%, exhibiting a relative standard deviation (RSD) of below 8%. The limits of quantification (LOQ) for lychee and pulp were determined as 0.001 mg/kg, and half-lives (t
    MeSH term(s) Humans ; Litchi ; Fruit/chemistry ; Pesticide Residues/analysis ; Tandem Mass Spectrometry/methods ; Food Contamination/analysis ; Half-Life ; Risk Assessment ; China
    Chemical Substances chlorantranilipole (622AK9DH9G) ; Pesticide Residues
    Language English
    Publishing date 2023-10-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28217265
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Graph Clustering with High-Order Contrastive Learning.

    Li, Wang / Zhu, En / Wang, Siwei / Guo, Xifeng

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 10

    Abstract: Graph clustering is a fundamental and challenging task in unsupervised learning. It has achieved great progress due to contrastive learning. However, we find that there are two problems that need to be addressed: (1) The augmentations in most graph ... ...

    Abstract Graph clustering is a fundamental and challenging task in unsupervised learning. It has achieved great progress due to contrastive learning. However, we find that there are two problems that need to be addressed: (1) The augmentations in most graph contrastive clustering methods are manual, which can result in semantic drift. (2) Contrastive learning is usually implemented on the feature level, ignoring the structure level, which can lead to sub-optimal performance. In this work, we propose a method termed Graph Clustering with High-Order Contrastive Learning (GCHCL) to solve these problems. First, we construct two views by Laplacian smoothing raw features with different normalizations and design a structure alignment loss to force these two views to be mapped into the same space. Second, we build a contrastive similarity matrix with two structure-based similarity matrices and force it to align with an identity matrix. In this way, our designed contrastive learning encompasses a larger neighborhood, enabling our model to learn clustering-friendly embeddings without the need for an extra clustering module. In addition, our model can be trained on a large dataset. Extensive experiments on five datasets validate the effectiveness of our model. For example, compared to the second-best baselines on four small and medium datasets, our model achieved an average improvement of 3% in accuracy. For the largest dataset, our model achieved an accuracy score of 81.92%, whereas the compared baselines encountered out-of-memory issues.
    Language English
    Publishing date 2023-10-10
    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/e25101432
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering.

    Dong, Zhibin / Jin, Jiaqi / Xiao, Yuyang / Xiao, Bin / Wang, Siwei / Liu, Xinwang / Zhu, En

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: The success of multiview raw data mining relies on the integrity of attributes. However, each view faces various noises and collection failures, which leads to a condition that attributes are only partially available. To make matters worse, the ... ...

    Abstract The success of multiview raw data mining relies on the integrity of attributes. However, each view faces various noises and collection failures, which leads to a condition that attributes are only partially available. To make matters worse, the attributes in multiview raw data are composed of multiple forms, which makes it more difficult to explore the structure of the data especially in multiview clustering task. Due to the missing data in some views, the clustering task on incomplete multiview data confronts the following challenges, namely: 1) mining the topology of missing data in multiview is an urgent problem to be solved; 2) most approaches do not calibrate the complemented representations with common information of multiple views; and 3) we discover that the cluster distributions obtained from incomplete views have a cluster distribution unaligned problem (CDUP) in the latent space. To solve the above issues, we propose a deep clustering framework based on subgraph propagation and contrastive calibration (SPCC) for incomplete multiview raw data. First, the global structural graph is reconstructed by propagating the subgraphs generated by the complete data of each view. Then, the missing views are completed and calibrated under the guidance of the global structural graph and contrast learning between views. In the latent space, we assume that different views have a common cluster representation in the same dimension. However, in the unsupervised condition, the fact that the cluster distributions of different views do not correspond affects the information completion process to use information from other views. Finally, the complemented cluster distributions for different views are aligned by contrastive learning (CL), thus solving the CDUP in the latent space. Our method achieves advanced performance on six benchmarks, which validates the effectiveness and superiority of our SPCC.
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3350671
    Database MEDical Literature Analysis and Retrieval System OnLINE

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