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1. Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies

Author

Wang, Maonan, Chen, Yirong, Kan, Yuheng, Xu, Chengcheng, Lepech, Michael, Pun, Man-On, and Xiong, Xi

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns. Effective traffic signal control (TSC) is a key strategy for reducing congestion. Unlike most TSC systems that rely on high-frequency control, this study introduces an innovative joint phase traffic signal cycle control method that operates effectively with varying control intervals. Our method features an adjust all phases action design, enabling simultaneous phase changes within the signal cycle, which fosters both immediate stability and sustained TSC effectiveness, especially at lower frequencies. The approach also integrates decentralized actors to handle the complexity of the action space, with a centralized critic to ensure coordinated phase adjusting. Extensive testing on both synthetic and real-world data across different intersection types and signal setups shows that our method significantly outperforms other popular techniques, particularly at high control intervals. Case studies of policies derived from traffic data further illustrate the robustness and reliability of our proposed method., Comment: 26 pages, 17 figures

Published
2024

3. SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Author

Chen, Yirong, Xing, Xiaofen, Lin, Jingkai, Zheng, Huimin, Wang, Zhenyu, Liu, Qi, and Xu, Xiangmin

Subjects
Computer Science - Computation and Language
Abstract

Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language models are applied in the field of psychological counseling, they often rush to provide universal advice. However, when users seek psychological support, they need to gain empathy, trust, understanding and comfort, rather than just reasonable advice. To this end, we constructed a multi-turn empathetic conversation dataset of more than 2 million samples, in which the input is the multi-turn conversation context, and the target is empathetic responses that cover expressions such as questioning, comfort, recognition, listening, trust, emotional support, etc. Experiments have shown that the empathy ability of LLMs can be significantly enhanced when finetuning by using multi-turn dialogue history and responses that are closer to the expression of a psychological consultant., Comment: Appectped to Findings of EMNLP2023

Published
2023

4. BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

Author

Chen, Yirong, Wang, Zhenyu, Xing, Xiaofen, zheng, huimin, Xu, Zhipei, Fang, Kai, Wang, Junhong, Li, Sihang, Wu, Jieling, Liu, Qi, and Xu, Xiangmin

Subjects
Computer Science - Computation and Language, Computer Science - Human-Computer Interaction
Abstract

Large language models (LLMs) have performed well in providing general and extensive health suggestions in single-turn conversations, exemplified by systems such as ChatGPT, ChatGLM, ChatDoctor, DoctorGLM, and etc. However, the limited information provided by users during single turn results in inadequate personalization and targeting of the generated suggestions, which requires users to independently select the useful part. It is mainly caused by the missing ability to engage in multi-turn questioning. In real-world medical consultations, doctors usually employ a series of iterative inquiries to comprehend the patient's condition thoroughly, enabling them to provide effective and personalized suggestions subsequently, which can be defined as chain of questioning (CoQ) for LLMs. To improve the CoQ of LLMs, we propose BianQue, a ChatGLM-based LLM finetuned with the self-constructed health conversation dataset BianQueCorpus that is consist of multiple turns of questioning and health suggestions polished by ChatGPT. Experimental results demonstrate that the proposed BianQue can simultaneously balance the capabilities of both questioning and health suggestions, which will help promote the research and application of LLMs in the field of proactive health.

Published
2023

5. Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting

Author

Chen, Yirong, Li, Ziyue, Ouyang, Wanli, and Lepech, Michael

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Accurate traffic forecasting is vital to intelligent transportation systems, which are widely adopted to solve urban traffic issues. Existing traffic forecasting studies focus on modeling spatial-temporal dynamics in traffic data, among which the graph convolution network (GCN) is at the center for exploiting the spatial dependency embedded in the road network graphs. However, these GCN-based methods operate intrinsically on the node level (e.g., road and intersection) only whereas overlooking the spatial hierarchy of the whole city. Nodes such as intersections and road segments can form clusters (e.g., regions), which could also have interactions with each other and share similarities at a higher level. In this work, we propose an Adaptive Hierarchical SpatioTemporal Network (AHSTN) to promote traffic forecasting by exploiting the spatial hierarchy and modeling multi-scale spatial correlations. Apart from the node-level spatiotemporal blocks, AHSTN introduces the adaptive spatiotemporal downsampling module to infer the spatial hierarchy for spatiotemporal modeling at the cluster level. Then, an adaptive spatiotemporal upsampling module is proposed to upsample the cluster-level representations to the node-level and obtain the multi-scale representations for generating predictions. Experiments on two real-world datasets show that AHSTN achieves better performance over several strong baselines., Comment: Accepted to IEEE CASE 2023

Published
2023

7. Value-added catalog of M-giant stars in LAMOST DR9

Author

Li, Jing, Long, Lin, Zhong, Jing, Tang, Lin, Zhang, Bo, Qin, Songmei, Chen, Yirong, Yan, Zhengzhou, Chen, Li, Xue, Xiangxiang, Hou, Jinliang, and Shi, Jianrong

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

In this work, we update the catalog of M-giant stars from the low-resolution spectra of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Data Release 9. There are 58,076 M giants identified from the classification pipeline with seven temperature subtypes from M0 to M6. The 2471 misclassified non-M-giant stars are white dwarf binaries, early types, and M dwarfs. And the contamination rate is 4.2$\%$ in the M-giants sample. A total of 372 carbon stars were identified by CaH spectral indices, and were further confirmed by the LAMOST spectra. We update the correlation between the $(W1-W2)_0$ color and [M/H] from APOGEE DR17. We calculate the radial velocities of all M giants by applying cross-correlation to the spectra between 8000 and 8950 \AA with synthetic spectra from ATLAS9. Taking star distances less than 4 kpc from Gaia EDR3 as the standard, we refitted the photometric distance relation of M giants. And based on our M-giant stars, we select a group of Sagittarius stream members, whose sky and 3D velocity distributions are well consistent with K-giant Saggitarius stream members found in Yang et al. With our M giants, we find that the disk is asymmetric out to R = 25 kpc, which is 5 kpc further out than detected using K giants., Comment: 23 pages, 10 figures. arXiv admin note: text overlap with arXiv:1908.01128

Published
2023
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8. Optical Bar Code for Internet Access Application based on Optical camera communication and Bluetooth Control

Author

Wen, Shangsheng, Liu, Manxi, Chen, Yanyi, Chen, Yirong, An, Futong, Chen, Yingcong, and Guan, Weipeng

Subjects
Computer Science - Networking and Internet Architecture
Abstract

We demonstrate an internet access application based on optical camera communication and bluetooth. The app will access the website while the camera in the phone receives the optical signal. \c{opyright} 2022 The Author(s), Comment: 3 pages, 1 figure

Published
2022

10. CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Author

Chen, Yirong, Fan, Weiquan, Xing, Xiaofen, Pang, Jianxin, Huang, Minlie, Han, Wenjing, Tie, Qianfeng, and Xu, Xiangmin

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Multimedia
Abstract

Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an important influence on conversation. However, most existing datasets for conversational AI ignore human personalities and emotions, or only consider part of them. It's difficult for dialogue systems to understand speakers' personalities and emotions although large-scale pre-training language models have been widely used. In order to consider both personalities and emotions in the process of conversation generation, we propose CPED, a large-scale Chinese personalized and emotional dialogue dataset, which consists of multi-source knowledge related to empathy and personal characteristic. These knowledge covers gender, Big Five personality traits, 13 emotions, 19 dialogue acts and 10 scenes. CPED contains more than 12K dialogues of 392 speakers from 40 TV shows. We release the textual dataset with audio features and video features according to the copyright claims, privacy issues, terms of service of video platforms. We provide detailed description of the CPED construction process and introduce three tasks for conversational AI, including personality recognition, emotion recognition in conversations as well as personalized and emotional conversation generation. Finally, we provide baseline systems for these tasks and consider the function of speakers' personalities and emotions on conversation. Our motivation is to propose a dataset to be widely adopted by the NLP community as a new open benchmark for conversational AI research. The full dataset is available at https://github.com/scutcyr/CPED.

Published
2022

19. Osteoporosis in Community-dwelling Elderly People: Prevalence and Associated Prevention and Control Strategies in General Practice

Author

MENG Fan, DONG Minjie, GUO Jin, XU Songtao, YAN Wei, GU Jun, CHEN Yirong, YANG Cheng, WANG Jun, XIA Lifang, CHEN Jun, FU Lingjie

Subjects
osteoporosis, aged, low bone mass, diet, movement, lifestyle, community health services, health promotion, Medicine
Abstract

Background The continuous increase in numbers of people with osteoporosis, and individuals with low bone mass in the community, brings severe challenges to the prevention and treatment of osteoporosis in the community. Objective To investigate the basic conditions related to the prevention and control of osteoporosis in communities, including the basic process and cost of enrolling the target population, and the prevalence and risk factors of osteoporosis in the target population, so as to provide evidence for supporting a general practice team to develop precise osteoporosis prevention and control measures. Methods This study selected 322 cases (including outpatient patients and older physical examinees) from Waitan Community Health Service Center, Shanghai from May to August 2021. General information, bone density test results and risk factors of osteoporosis were collected by a questionnaire. Results The cost of enrolling the target population in the community was 57.344 yuan per person. Among the 322 cases, 27 (8.4%) had normal bone mass, 157 (48.8%) had low bone mass, and 138 (42.8%) had osteoporosis. The prevalence of bone density abnormalities (low bone mass and osteoporosis) reached 91.6%. There were statistically significant differences in gender ratio and BMI among normal bone mass, low bone mass and osteoporosis groups (P

Published
2023
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23. Decursin ameliorates carbon-tetrachloride-induced liver fibrosis by facilitating ferroptosis of hepatic stellate cells

Author

Que, Renye, Cao, Mengxing, Dai, Yancheng, Zhou, Yi, Chen, Yirong, and Lin, Liubing

Subjects
Cell death -- Methods -- Analysis, Carbon tetrachloride -- Usage, Stem cells -- Analysis, Coumarins -- Identification and classification -- Properties, Liver diseases -- Care and treatment, Biological sciences
Abstract

Decursin possesses the potential to alleviate transforming growth factor (TGF)-[beta]-induced hepatic stellate cells (HSCs) activation. However, the mechanisms hy which decursin alleviates hepatic fibrosis remain not fully understood. Our aim is to explore the function of decursin on regulating HSCs' activation and hepatic nhrosis. The anti-nhrotic effect of decursin was evaluated hy Masson and Sirius red staining, and immunohistochemical (IHC) and quantitative real-time PCR (qRT-PCR) analyses for alpha-smooth muscle actin ([alpha]-SMA) and collagen type I (Collal) expression. Ferroptosis was assessed hy measuring iron concentration, glutathione peroxidase 4 (Gpx4), and prostaglandin endoperoxide synthase 2 (Ptgs2) expression, glutathione (GSH) level, lipid peroxidation, and reactive oxygen species (ROS) level. We found that decursin treatment decreased carbon tetrachloride ([CCl.sub.4])-induced liver nhrosis. The primary HSCs isolated from decursin-treated group showed an increased [Fe.sup.2+], lipid ROS level, and decreased Gpx4 and GSH levels compared with HSCs from the model group. Moreover, decursin promoted ferroptosis in activated HSCs in vitro, as evidenced hy declined Gpx4 and GSH levels, increased [Fe.sup.2+], ROS, and Ptgs2 levels compared with control. More important, ferroptosis inhibitor destroyed the anti-fibrosis effect of decursin on HSCs. In summary, these data suggest that decursin has potential to treat hepatic fibrosis. Key words: decursin, hepatic fibrosis, ferroptosis, hepatic stellate cells, ferrostatin-1 La décursine possède le potentiel d'atténuer l'activation des cellules de Kupfer (CK) induite par le facteur de croissance transformant (TGF)-[beta]. Toutefois, les mécanismes par lesquels la décursine atténue la fibrose hépatique ne sont pas entièrement compris. L'objectif poursuivi par les auteurs consiste à explorer la fonction de la décursine dans la régulation de l'activation des CK et de la fibrose hépatique. L'effet anti-fibrotique de la décursine a été évalué par des colorations trichromique de Masson et au rouge de Sirius, ainsi que par une analyse immunohistochimique (IHC) et une PCR quantitative en temps réel (qRT-PCR) de l'expression de l'alpha-actine du muscle lisse ([alpha]-SMA) et du collagène de type I (Collai). La ferroptose a été évaluée en mesurant la concentration en fer, l'expression de la glutathion peroxydase 4 (Gpx4) et de la prostaglandine endoperoxyde synthase 2 (Ptgs2), le niveau de glutathion (GSH), la peroxydation lipidique et le niveau des dérivés réactifs de l'oxygène (DRO). Ils ont constaté que le traitement à la décursine réduisait la fibrose hépatique induite par le CC14. Les CK primaires isolées du groupe traité à la décursine présentaient une augmentation du Fe2+, du niveau des DRO lipidiques, et une diminution des niveaux de Gpx4 et de GSH par rapport aux CK du groupe modèle. De plus, la décursine favorisait la ferroptose dans les CK activées in vitro, comme en témoignent la baisse des niveaux de Gpx4 et de GSH, l'augmentation des niveaux de Fe2+, de DRO et de Ptgs2 par rapport au groupe témoin. Plus important encore, l'inhibiteur de la ferroptose détruisait l'effet anti-fibrosant de la décursine sur les CK. En résumé, ces données suggèrent que la décursine manifeste un potentiel pour traiter la fibrose hépatique. [Traduit par la Rédaction] Mots-clés : décursine, fibrose hépatique, ferroptose, cellules de Kupfer, ferrostatine-1, Introduction Chronic liver diseases induced by virus infection or metabolic disorder are a main public health concern world-wide (Lee et al. 2015; Roehlen et al. 2020). Hepatic fibrosis is the [...]

Published
2022
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29. ETS1 deficiency in macrophages suppresses colorectal cancer progression by reducing the F4/80+TIM4+ macrophage population.

Author

Cao, Yuanyuan, Guo, Anning, Li, Muxin, Ma, Xinghua, Bian, Xiaofeng, Chen, YiRong, Zhang, Caixia, Huang, Shijia, Zhao, Wei, and Zhao, Shuli

Subjects
TRANSCRIPTION factors, IMMUNOGLOBULIN receptors, ULCERATIVE colitis, LIVER metastasis, SODIUM sulfate
Abstract

Tumor-associated macrophages (TAMs) take on pivotal and complex roles in the tumor microenvironment (TME); however, their heterogeneity in the TME remains incompletely understood. ETS proto-oncogene 1 (ETS1) is a transcription factor that is mainly expressed in lymphocytes. However, its expression and immunoregulatory role in colorectal cancer (CRC)-associated macrophages remain unclear. In the study, the expression levels of ETS1 in CD68+ macrophages in the CRC microenvironment were significantly higher than those in matched paracarcinoma tissues. Importantly, ETS1 increased the levels of chemokines C-C motif chemokine ligand 2 (CCL2) and C-X-C motif chemokine ligand 10 (CXCL10) in lipopolysaccharide-stimulated THP-1 cells. It also boosted the migration and invasion of CRC cells during the in vitro co-culture. In the ETS1 conditional knockout mouse model, ETS1 deficiency in macrophages ameliorated the histological changes in DSS-induced ulcerative colitis mouse models and prolonged the survival in an azomethane/dextran sodium sulfate (AOM/DSS)-induced CRC model. ETS1 deficiency in macrophages substantially inhibited tumor formation, reduced F4/80+TIM4+ macrophages in the mesenteric lymph nodes, and decreased CCL2 and CXCL10 protein levels in tumor tissues. Moreover, ETS1 deficiency in macrophages effectively prevented liver metastasis of CRC and reduced the infiltration of TAMs into the metastasis sites. Subsequent studies have indicated that ETS1 upregulated the expression of T-cell immunoglobulin mucin receptor 4 in macrophages through the signal transducer and activator of the transcription 1 signaling pathway activated by the autocrine action of CCL2/CXCL10. Collectively, ETS1 deficiency in macrophages potentiates antitumor immune responses by repressing CCL2 and CXCL10 expression, shedding light on potential therapeutic strategies for CRC. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Saikosaponin-d protects against liver fibrosis by regulating the estrogen receptor-b/NLRP3 inflammasome pathway

Author

Lin, Liubing, Zhou, Mengen, Que, Renye, Chen, Yirong, Liu, Xiaolin, Zhang, Kehui, Shi, Zhe, and Li, Yong

Subjects
Fibrosis -- Physiological aspects, Liver diseases -- Physiological aspects, Biological sciences
Abstract

Liver fibrosis is the most common pathway in most types of chronic liver damage, characterized by an imbalance of ECM degradation and synthesis. Saikosaponin-d (SSd) possesses anti-inflammatory and anti-fibrotic effects. However, the underlying mechanism by which SSd represses hepatic stellate cell (HSC) activation remains unclear. Here, we found that SSd remarkably alleviated carbon tetrachloride (C[Cl.sub.4])-induced liver fibrosis, as evidenced by decreased collagen levels and profibrotic marker (COl1a1 and a-smooth muscle actin (SMA)) expression. SSd repressed C[Cl.sub.4]-induced NOD-like receptor family pyrin-domain-containing-3 (NLRP3) activation in fibrotic livers, as suggested by decreased levels of NLRP3, IL-18, and IL-[beta]. The primary HSCs of C[Cl.sub.4] mice exhibited a significant increase in profibrotic marker expression and NLRP3 activation, but SSd treatment reversed this effect. SSd also repressed TGF-[beta]-induced profibrotic marker expression and NLRP3 activation in vitro. Mechanistically, TGF-[beta] decreased the expression of estrogen receptor-[beta] (ER[beta]) in HSCs, whereas SSd treatment reversed this effect. ER[beta] inhibition enhances NLRP3 activation in HSCs. More importantly, ER[beta] or NLRP3 inhibition partially destroyed the function of SSd in liver fibrosis. In summary, the current data suggest that SSd prevents hepatic fibrosis by regulating the ER[beta]/NLRP3 inflammasome pathway and suggests SSd as a potential agent for treating liver fibrosis. Key words: liver fibrosis, saikosaponin-d, NLRP3 inflammasome, estrogen receptor-b, hepatic stellate cells. La fibrose hépatique est la voie finale commune à la plupart des types de lésions hépatiques chroniques, caractérisée par un déséquilibre entre la dégradation et la synthèse de la matrice extracellulaire. La saikosaponine-d (SSd) exerce des effets anti-inflammatoires et anti-fibrose hépatique. Cependant, le mécanisme sous-jacent de la SSd dans la répression de l'activation des cellules de Kupffer (CK) reste obscur. Les auteurs ont découvert ici que le SSd atténue remarquablement la fibrose hépatique induite par le tétrachlorure de carbone (C[Cl.sub.4]), comme en témoigne la diminution du niveau de collagène et de l'expression des marqueurs profibrotiques [COL1A1 et [alpha]-actine de muscle lisse (SMA)]. La SSd réprimait l'activation de la famille des récepteurs NLRP3 (NOD-like receptor family pyrin-domain-containing-3) induite par le C[Cl.sub.4] dans les foies fibreux, comme le suggère la diminution du niveau de NLRP3, IL-18 et IL-[beta]. Les CK primaires de souris traitées au C[Cl.sub.4] présentaient une augmentation significative de l'expression des marqueurs profibrotiques et de l'activation de NLRP3, mais le traitement par SSd inversait cet effet. La SSd réprimait aussi l'expression des marqueurs profibrotiques et l'activation de NLRP3 induites par le TGF-[beta] in vitro. En matière de mécanisme, le TGF-[beta] diminuait l'expression du récepteur d'oestrogène-[beta] (ER[beta]) dans les CK, alors que le traitement par la SSd inversait cet effet. L'inhibition du ERb augmentait l'activation de NLRP3 dans les CK. Qui plus est, l'inhibition du ER[beta] ou de NLRP3 détruisait partiellement la fonction de la SSd contre la fibrose hépatique. En résumé, les données actuelles suggèrent que la SSd prévient la fibrose hépatique en régulant la voie de l'inflammasome ER[beta]/NLRP3, et suggèrent la SSd comme un agent potentiel pour traiter la fibrose hépatique. [Traduit par la Rédaction] Mots-clés : fibrose hépatique, saikosaponine-d, inflammasome NLRP3, récepteur des oestrogènes-[beta], cellules de Kupffer., Introduction Liver fibrosis isthe common pathological basisofvarious chronic liver diseases and is a reversible scar healing response caused by repeated liver injury. Hepatic stellate cells (HSCs) play animportant role in [...]

Published
2021
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35. GlycoSS: A DNA Glycosignal Sieve for Deciphering Spatially Resolved EpCAM-Specific Glycoforms

Author

Fan, Ningke, Yang, Ketong, Bian, Xintong, Chen, Yirong, Zhang, Lu, Ai, Zhujun, Li, Xinyu, Ding, Shijia, Li, Siqiao, and Cheng, Wei

Abstract

Malignant transformation of cancer is often accompanied by aberrant glycopatterns. Epithelial–mesenchymal transition (EMT) is a crucial biological process in cancer migration and invasion, accelerating cancer deterioration. High-precision analysis of protein–glycan spatial profiling in the EMT process is essential for elucidating glycosylation functions and cancer progression. However, the diversity of glycans in composition and conformation complicates their spatial analysis. Here, we develop a DNA glycosignal sieve (GlycoSS) visualization platform for screening glycoform expression with a protein spatial dimension. GlycoSS utilizes protein-anchored DNA nanoscanners of distinct lengths to control glycosignal readout, enabling protein–glycan distance modulations, and simultaneously orthogonally amplify glycoform output through signal amplification by an exchange reaction. Using GlycoSS, we screened EpCAM-specific hypoglycosylated glycoform signals in different breast cancer cell subtypes, especially characterizing the spatial distribution of glycans on the MCF-7 cell surface. Considering that the EpCAM-specific N-glycan dysregulation in EMT is pivotal, GlycoSS revealed dynamic glycan fluctuations during IGF-1-induced EMT, revealing that the N-glycans were positively associated with tumor malignancy and metastasis. GlycoSS is anticipated to accelerate the identification of aberrant N-glycosylation in tumor progression, advancing systemic glycobiology insights. Notably, GlycoSS is capable of analyzing diverse glycoprotein profiles, offering additional dimensions into the role of glycoprotein nanoenvironments in regulating membrane protein function.

Published
2024
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36. Preparation and Antifiltration Performance of Organic Zirconium Crosslinker for Guar Gum‐Fracturing Fluid.

Author

Chen, Yirong, Wang, Yufang, Wei, Wei, He, Jiahui, and Khormali, Azizollah

Subjects
*FRACTURING fluids, *GAS reservoirs, *WATER temperature, *PETROLEUM reservoirs, *GUAR, *GAS condensate reservoirs
Abstract

Aiming at the characteristics of low shear resistance and high filtration loss of guar gum‐fracturing fluid, a high‐efficiency organic zirconium crosslinker was prepared. In addition, the effects of different factors on the filtration coefficient and apparent viscosity of fracturing fluid were studied, and this study explores the micro mechanisms of various factors affecting the filtration coefficient from a molecular dynamics perspective. The results show that the antifiltration ability of guar gum‐fracturing fluid is inversely proportional to the fluid viscosity. The increase of crosslinker content and reservoir pressure is beneficial to improve the viscosity and antishear ability of guar gum‐fracturing fluid. When the crosslinker content is 0.25% and pressure is 30 MPa, the fracturing fluid parameters are 145 mPa·s and 2.1 × 10−2 m3 · min1/2, respectively, while the increase of reservoir temperature and the shear rate reduces the rheology and shear resistance of guar gum‐fracturing fluid, so that the viscosity and filtration coefficient of fracturing fluid at 180°C and 200 s-1 are 123 mPa·s and 2.3 × 10-2 m3·min1/2, respectively. This work not only paves a new avenue for synthesizing organic zirconium as a crosslinker but also provides an efficient measure to reduce the filtration of guar gum‐fracturing fluid on the oil and gas reservoirs. [ABSTRACT FROM AUTHOR]

Published
2024
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