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  1. Article ; Online: Performance errors during rodent learning reflect a dynamic choice strategy.

    Zhu, Ziyi / Kuchibhotla, Kishore V

    Current biology : CB

    2024  

    Abstract: Humans, even as infants, use cognitive strategies, such as exploration and hypothesis testing, to learn about causal interactions in the environment. In animal learning studies, however, it is challenging to disentangle higher-order behavioral strategies ...

    Abstract Humans, even as infants, use cognitive strategies, such as exploration and hypothesis testing, to learn about causal interactions in the environment. In animal learning studies, however, it is challenging to disentangle higher-order behavioral strategies from errors arising from imperfect task knowledge or inherent biases. Here, we trained head-fixed mice on a wheel-based auditory two-choice task and exploited the intra- and inter-animal variability to understand the drivers of errors during learning. During learning, performance errors are dominated by a choice bias, which, despite appearing maladaptive, reflects a dynamic strategy. Early in learning, mice develop an internal model of the task contingencies such that violating their expectation of reward on correct trials (by using short blocks of non-rewarded "probe" trials) leads to an abrupt shift in strategy. During the probe block, mice behave more accurately with less bias, thereby using their learned stimulus-action knowledge to test whether the outcome contingencies have changed. Despite having this knowledge, mice continued to exhibit a strong choice bias during reinforced trials. This choice bias operates on a timescale of tens to hundreds of trials with a dynamic structure, shifting between left, right, and unbiased epochs. Biased epochs also coincided with faster motor kinematics. Although bias decreased across learning, expert mice continued to exhibit short bouts of biased choices interspersed with longer bouts of unbiased choices and higher performance. These findings collectively suggest that during learning, rodents actively probe their environment in a structured manner to refine their decision-making and maintain long-term flexibility.
    Language English
    Publishing date 2024-04-26
    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.2024.04.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A New CNN-Based Single-Ingredient Classification Model and Its Application in Food Image Segmentation.

    Zhu, Ziyi / Dai, Ying

    Journal of imaging

    2023  Volume 9, Issue 10

    Abstract: It is important for food recognition to separate each ingredient within a food image at the pixel level. Most existing research has trained a segmentation network on datasets with pixel-level annotations to achieve food ingredient segmentation. However, ... ...

    Abstract It is important for food recognition to separate each ingredient within a food image at the pixel level. Most existing research has trained a segmentation network on datasets with pixel-level annotations to achieve food ingredient segmentation. However, preparing such datasets is exceedingly hard and time-consuming. In this paper, we propose a new framework for ingredient segmentation utilizing feature maps of the CNN-based Single-Ingredient Classification Model that is trained on the dataset with image-level annotation. To train this model, we first introduce a standardized biological-based hierarchical ingredient structure and construct a single-ingredient image dataset based on this structure. Then, we build a single-ingredient classification model on this dataset as the backbone of the proposed framework. In this framework, we extract feature maps from the single-ingredient classification model and propose two methods for processing these feature maps for segmenting ingredients in the food images. We introduce five evaluation metrics (IoU, Dice, Purity, Entirety, and Loss of GTs) to assess the performance of ingredient segmentation in terms of ingredient classification. Extensive experiments demonstrate the effectiveness of the proposed method, achieving a mIoU of 0.65, mDice of 0.77, mPurity of 0.83, mEntirety of 0.80, and mLoGTs of 0.06 for the optimal model on the FoodSeg103 dataset. We believe that our approach lays the foundation for subsequent ingredient recognition.
    Language English
    Publishing date 2023-09-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging9100205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Single-cell transcriptome analysis reveals heterogeneity of neutrophils in non-small cell lung cancer.

    Wang, Yunzhen / Zhu, Ziyi / Luo, Raojun / Chen, Wenwen

    The journal of gene medicine

    2024  Volume 26, Issue 5, Page(s) e3690

    Abstract: Background: Lung cancer stands out as a highly perilous malignant tumor with severe implications for human health. There has been a growing interest in neutrophils as a result of their role in promoting cancer in recent years. Thus, the present study ... ...

    Abstract Background: Lung cancer stands out as a highly perilous malignant tumor with severe implications for human health. There has been a growing interest in neutrophils as a result of their role in promoting cancer in recent years. Thus, the present study aimed to investigate the heterogeneity of neutrophils in non-small cell lung cancer (NSCLC).
    Methods: Single-cell RNA sequencing of tumor-associated neutrophils (TANs) and polymorphonuclear neutrophils sourced from the Gene Expression Omnibus database was analyzed. Moreover, cell-cell communication, differentiation trajectories and transcription factor analyses were performed.
    Results: Neutrophils were found to be closely associated with macrophages. Four major types of TANs were identified: a transitional subcluster that migrated from blood to tumor microenvironment (TAN-0), an inflammatory subcluster (TAN-1), a subpopulation that displayed a distinctive transcriptional signature (TAN-2) and a final differentiation state that promoted tumor formation (TAN-3). Meanwhile, TAN-3 displayed a marked increase in glycolytic activity. Finally, transcription factors were analyzed to uncover distinct TAN cluster-specific regulons.
    Conclusions: The discovery of the dynamic characteristics of TANs in the present study is anticipated to contribute to yielding a better understanding of the tumor microenvironment and advancing the treatment of NSCLC.
    MeSH term(s) Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/pathology ; Humans ; Neutrophils/metabolism ; Single-Cell Analysis/methods ; Lung Neoplasms/genetics ; Lung Neoplasms/pathology ; Tumor Microenvironment/genetics ; Gene Expression Profiling/methods ; Gene Expression Regulation, Neoplastic ; Transcriptome ; Transcription Factors/genetics ; Transcription Factors/metabolism ; Cell Differentiation/genetics ; Single-Cell Gene Expression Analysis
    Chemical Substances Transcription Factors
    Language English
    Publishing date 2024-05-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1458024-x
    ISSN 1521-2254 ; 1099-498X
    ISSN (online) 1521-2254
    ISSN 1099-498X
    DOI 10.1002/jgm.3690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Development, characterization and Lactobacillus plantarum encapsulating ability of novel C-phycocyanin-pectin-polyphenol based hydrogels.

    Zhu, Ziyi / Wu, Ying / Zhong, Yejun / Zhang, Hui / Zhong, Junzhen

    Food chemistry

    2024  Volume 447, Page(s) 138918

    Abstract: In this study, it was found that the enhancement in the viability of Lactobacillus plantarum under gastrointestinal conditions by encapsulating them within novel C-Phycocyanin-pectin based hydrogels (from 5.7 to 7.1 log/CFU). The hardness, the strength ... ...

    Abstract In this study, it was found that the enhancement in the viability of Lactobacillus plantarum under gastrointestinal conditions by encapsulating them within novel C-Phycocyanin-pectin based hydrogels (from 5.7 to 7.1 log/CFU). The hardness, the strength and the stability of the hydrogels increased when the protein concentration was increased. In addition, the addition of resveratrol (RES), and tannic acid (TA) could improve the hardness (from 595.4 to 608.3 and 637.0 g) and WHC (from 93.9 to 94.2 and 94.8 %) of the hydrogels. The addition of gallic acid (GA) enhanced the hardness (675.0 g) of the hydrogels, but the WHC (86.2 %) was decreased. During simulated gastrointestinal conditions and refrigerated storage, the addition of TA enhanced the viable bacteria counts (from 6.8 and 8.0 to 7.5 and 8.5 log/CFU) of Lactobacillus plantarum. Furthermore, TA and GA are completely encased by the protein-pectin gel as an amorphous state, while RA is only partially encased.
    MeSH term(s) Lactobacillus plantarum/metabolism ; Pectins/metabolism ; Hydrogels/metabolism ; Phycocyanin ; Polyphenols/metabolism ; Probiotics/metabolism
    Chemical Substances Pectins (89NA02M4RX) ; Hydrogels ; Tannic Acid ; Phycocyanin (11016-15-2) ; Polyphenols
    Language English
    Publishing date 2024-03-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 243123-3
    ISSN 1873-7072 ; 0308-8146
    ISSN (online) 1873-7072
    ISSN 0308-8146
    DOI 10.1016/j.foodchem.2024.138918
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The Effects of Budesonide Inhalation Treatment on the Expression Levels of Serum IL-6, TGF-β1, and IgE and Pulmonary Function in Patients with Cough Variant Asthma and an Evaluation of Treatment Efficacy.

    Niu, Yueying / Cao, Mengqing / Li, Shumin / Mo, Juanfen / Zhu, Ziyi / Wang, Haiqin

    International journal of general medicine

    2024  Volume 17, Page(s) 1253–1261

    Abstract: Objective: To retrospectively study the effects of budesonide inhalation combined with conventional symptomatic treatment on serum inflammatory factor expression levels and pulmonary function in patients with cough variant asthma (CVA) and to evaluate ... ...

    Abstract Objective: To retrospectively study the effects of budesonide inhalation combined with conventional symptomatic treatment on serum inflammatory factor expression levels and pulmonary function in patients with cough variant asthma (CVA) and to evaluate treatment efficacy.
    Methods: This retrospective cohort study included 200 patients diagnosed with CVA at the Second Hospital of Jiaxing between January 2022 and June 2023 and given conventional symptomatic treatment plus budesonide inhalation were included in this study. Patients were divided into a no remission group, a partial remission group and a complete remission group based on treatment effect. The expression levels of serum inflammatory factors, cough symptom scores, and small airway function indicators in the three groups of patients at different time points were compared.
    Results: In the three groups of CVA patients, after receiving budesonide inhalation combined with conventional symptomatic treatment, the expression levels of serum IL-5, IL-6, IL-8, TNF-α, TGF-β1, and IgE and number of eosinophils significantly decreased (P <0.05). There were statistically significant differences in the IL-6 and TGF-β1 levels among the three groups of CVA patients at T1, T2 and T3. There were statistically significant differences in IgE levels, number of eosinophils, cough symptom scores, and small airway function indicators between T2 and T3 (P<0.05). The receiver operating characteristic (ROC) curve prediction analysis revealed significant differences in the expression of IL-6 and TGF-β1 at T1, T2, and T3.
    Conclusion: Budesonide inhalation combined with conventional symptomatic treatment can significantly reduce the levels of serum inflammatory factors in patients with CVA to reduce inflammation and the allergic response, thereby reducing the cough symptom score, improving pulmonary function, and improving therapeutic efficacy. In addition, IL-6 and TGF-β1 can be used as early predictors of budesonide inhalation efficacy.
    Language English
    Publishing date 2024-03-29
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2452220-X
    ISSN 1178-7074
    ISSN 1178-7074
    DOI 10.2147/IJGM.S455872
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Comparative Genomic Analysis of

    Fan, Lianxue / Zhu, Ziyi / Lin, Xiaoru / Shen, Xia / Yang, Tianjiao / Wang, Haixin / Zhou, Xiuyan

    International journal of molecular sciences

    2024  Volume 25, Issue 7

    Abstract: The family of phosphatidylethanolamine-binding proteins (PEBPs) participates in various plant biological processes, mainly flowering regulation and seed germination. In cucurbit crops, ... ...

    Abstract The family of phosphatidylethanolamine-binding proteins (PEBPs) participates in various plant biological processes, mainly flowering regulation and seed germination. In cucurbit crops, several
    MeSH term(s) Female ; Male ; Animals ; Cucumis sativus/genetics ; Reproduction ; Comparative Genomic Hybridization ; Time Factors ; Crops, Agricultural ; Gastropoda ; Genomics
    Language English
    Publishing date 2024-03-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25073815
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019.

    Zhang, Jingxue / Feng, Yanchao / Zhu, Ziyi

    International journal of environmental research and public health

    2022  Volume 19, Issue 7

    Abstract: The Yellow River Economic Belt (YREB) performs an essential function in the low-carbon development of China as an important ecological protection barrier, and it is of great importance to identify its spatio-temporal heterogeneity and key influencing ... ...

    Abstract The Yellow River Economic Belt (YREB) performs an essential function in the low-carbon development of China as an important ecological protection barrier, and it is of great importance to identify its spatio-temporal heterogeneity and key influencing factors. In this study, we propose a comprehensively empirical framework to conduct this issue. The STIRPAT model was applied to determine the influencing factors of carbon emissions in the YREB from 2006 to 2019. The results show that the carbon emissions in the YREB had significant clustering characteristics in the spatial auto-correlation analysis. In addition, the estimation results of the spatial panel analysis demonstrate that the carbon emissions showed a distinct spatial lag effect and temporal lag effect. Moreover, the three traditional factors including population, affluence, technology are identified as the key influencing factors of carbon emissions in the YREB of China. Furthermore, the spatio-temporal heterogeneity is illustrated vividly by employing the GTWR-STIRPAT model. Finally, policy implications are provided to respond to the demand for low-carbon development.
    MeSH term(s) Carbon/analysis ; China ; Economic Development ; Rivers ; Spatial Analysis
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2022-03-31
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph19074185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Simulated Nitric Acid Rain Aggravated the C and P Limits of Forest Soil Microorganisms

    Zhou, Meijia / Wang, Jinlong / Hu, Haibo / Chen, Jianyu / Zhu, Ziyi / Heng, Yuchen / Feng, Yuanyuan

    Forests. 2023 May 18, v. 14, no. 5

    2023  

    Abstract: With the comprehensive emissions of fossil fuel combustion and transportation waste gas, the concentrations of nitrogen oxides (NOX) in the environmental atmosphere increase significantly, leading to nitric acid rain (NAR) pollution. However, the effects ...

    Abstract With the comprehensive emissions of fossil fuel combustion and transportation waste gas, the concentrations of nitrogen oxides (NOX) in the environmental atmosphere increase significantly, leading to nitric acid rain (NAR) pollution. However, the effects of NAR on soil enzyme activities and soil microbial metabolism are unclear. In this study, the Quercus acutissima Carruth. forest in the Yangtze River Delta of China was selected as the experimental subject, and was exposed to the simulated spraying of NAR with pH values of 2.5, 3.5, and 4.5 to study the response of the forest soil enzyme activities and soil microbial metabolism to NAR. The results showed that compared to the non-NAR treatment, the activities of β-1,4-glucosidase (BG), L-leucine aminopeptidase (LAP), and β-1,4-N-acetylglucosidase (NAG) decreased by 56.48%–42.24%, 44.57%–38.20%, and 56.13%–48.11% under the AR2.5 and AR3.5 treatments, respectively. Moreover, there was no significant change in the Vector Length (VL) under different gradients of NAR. The Vector Angle (VA) increased with the decrease of the pH value and reached the maximum value with the AR2.5 treatment, indicating that the strong acid type NAR had a greater phosphorus-limiting effect on the soil microorganisms. The RDA analysis results showed that the dissolved organic carbon (DOC) was a significant factor affecting the soil enzyme activity and stoichiometric ratio, with interpretation rates of 40.2%. In conclusion, we believe that in the restoration of acidified soil, attention should be paid to the regulation of soil pH, reducing scour.
    Keywords Quercus acutissima ; acid rain ; acid soils ; dissolved organic carbon ; enzyme activity ; forest soils ; forests ; fossil fuels ; fuel combustion ; leucyl aminopeptidase ; metabolism ; nitric acid ; nitrogen ; pollution ; river deltas ; soil enzymes ; soil pH ; stoichiometry ; transportation ; China ; Yangtze River
    Language English
    Dates of publication 2023-0518
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2527081-3
    ISSN 1999-4907
    ISSN 1999-4907
    DOI 10.3390/f14051044
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Comparative study on physicochemical and nutritional properties of black rice influenced by superheated steam, far infrared radiation, and microwave treatment

    Zhong, Yejun / Zhang, Yaqi / Zhu, Ziyi / Wang, Yiheng / Zeng, Zicong / Liu, Chengmei

    Innovative Food Science and Emerging Technologies. 2023 Mar., v. 84 p.103282-

    2023  

    Abstract: The peroxidase in black rice was inactivated by superheated steam (SS), far infrared radiation (FIR), and microwave treatment (Mw) respectively, and then their effects on the physicochemical and nutritional properties of black rice were compared. Results ...

    Abstract The peroxidase in black rice was inactivated by superheated steam (SS), far infrared radiation (FIR), and microwave treatment (Mw) respectively, and then their effects on the physicochemical and nutritional properties of black rice were compared. Results showed that SS, FIR, and Mw completely inactivated peroxidase with minimum time of 16 min, 8 min, 480 s, respectively. FIR and Mw significantly decreased all pasting viscosities and gelatinization enthalpy (ΔH), while SS increased most pasting viscosities and showed almost no influence on ΔH. Besides, black rice stabilized by SS rather than FIR and Mw showed similar cooking and sensory quality and microscopic structure to that of raw black rice. Furthermore, SS was more favorable to retain the phenolics, flavonoids, anthocyanins and antioxidant capacity than FIR and Mw. These results suggested that SS was most suitable to improve the shelf life of black rice with minimal damages to its physicochemical and nutritional properties.
    Keywords anthocyanins ; antioxidant activity ; black rice ; comparative study ; enthalpy ; food science ; gelatinization ; microwave treatment ; peroxidase ; phenolic compounds ; sensory properties ; shelf life ; steam ; terrestrial radiation ; Stabilization ; Physicochemical properties ; Nutritional properties
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2025029-0
    ISSN 1466-8564
    ISSN 1466-8564
    DOI 10.1016/j.ifset.2023.103282
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Explaining and modeling the reduction effect of low-carbon energy transition on energy intensity: Empirical evidence from global data

    Feng, Yanchao / Zhang, Juan / Geng, Yong / Jin, Shurui / Zhu, Ziyi / Liang, Zhou

    Energy. 2023 Oct., v. 281 p.128276-

    2023  

    Abstract: In the process of global net zero, achieving low-carbon energy transition is an inevitable choice for sustainable development. Based on the annual panel data of 77 countries and regions from 2007 to 2019, this study uses multiple econometric models to ... ...

    Abstract In the process of global net zero, achieving low-carbon energy transition is an inevitable choice for sustainable development. Based on the annual panel data of 77 countries and regions from 2007 to 2019, this study uses multiple econometric models to study the effect and mechanism of low-carbon energy transition on energy intensity. In particular, the inverse cosine function is employed to measure the low-carbon energy transition at the global level from the consumer side. The baseline results show that low-carbon energy transition can significantly reduce energy intensity. At the same time, the external factors including the government effectiveness and the environmental policies stringency are proved to act as the threshold variables. Finally, the mechanism analysis shows that low-carbon energy transition can reduce energy intensity by improving green innovation and enhancing the utilization of sustainable energy. In summary, this study provides valuable policy recommendations and scientific arguments for promoting energy transition, accelerating green sustainable development, and achieving global net zero goals.
    Keywords econometrics ; energy ; issues and policy ; renewable energy sources ; sustainable development ; sustainable technology ; Low-carbon energy transition ; Energy intensity ; Threshold effect ; Global net zero
    Language English
    Dates of publication 2023-10
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2023.128276
    Database NAL-Catalogue (AGRICOLA)

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