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Article ; Online: Research on Teaching Resource Recommendation Algorithm Based on Deep Learning and Cognitive Diagnosis.

Zhou, Fei

2022 Volume 2022, Page(s) 5776341

Abstract: With the increasing abundance of network teaching resources, the recommendation technology based on network is becoming more and more mature. There are differences in the effect of recommendation, which leads to great differences in the effect of ... ...

Abstract	With the increasing abundance of network teaching resources, the recommendation technology based on network is becoming more and more mature. There are differences in the effect of recommendation, which leads to great differences in the effect of recommendation algorithms for teaching resources. The existing teaching resource recommendation algorithm either takes insufficient consideration of the students' personality characteristics, cannot well distinguish the students' users through the students' personality, and pushes the same teaching resources or considers the student user personality not sufficient and cannot well meet the individualized learning needs of students. Therefore, in view of the above problem, combining TDINA model by the user for the students to build cognitive diagnosis model, we put forward a model based on convolution (CUPMF) joint probability matrix decomposition method of teaching resources to recommend the method combined with the history of the students answer, cognitive ability, knowledge to master the situation, and forgetting effect factors. At the same time, CNN is used to deeply excavate the test question resources in the teaching resources, and the nonlinear transformation of the test question resources output by CNN is carried out to integrate them into the joint probability matrix decomposition model to predict students' performance on the resources. Finally, the students' knowledge mastery matrix obtained by TDINA model is combined to recommend corresponding teaching resources to students, so as to improve learning efficiency and help students improve their performance.
MeSH term(s)	Algorithms ; Cognition ; Deep Learning ; Humans ; Students
Language	English
Publishing date	2022-01-07
Publishing country	England
Document type	Journal Article
ZDB-ID	2545054-2
ISSN	2040-2309 ; 2040-2295
ISSN (online)	2040-2309
ISSN	2040-2295
DOI	10.1155/2022/5776341
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Article ; Online: Comparison of the effects of laparoscopic and open hysterectomy on surgical site wound infections in patients with endometrial cancer: A meta-analysis.

Yang, Nian / Zhou, Fei

International wound journal

2023

Abstract: This meta-analysis aimed to compare laparoscopic hysterectomy (LH) and open hysterectomy (OH) in terms of surgical site wound infection, length of hospital stay, and postoperative complications in patients with endometrial cancer (EC). PubMed, Embase, ... ...

Abstract	This meta-analysis aimed to compare laparoscopic hysterectomy (LH) and open hysterectomy (OH) in terms of surgical site wound infection, length of hospital stay, and postoperative complications in patients with endometrial cancer (EC). PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, VIP, and Wanfang databases were comprehensively searched for studies on OH and LH for EC published between 2008 and July 2023, in any language. The literature was screened according to the inclusion and exclusion criteria, and the quality of the included case-control studies was assessed using the Newcastle-Ottawa Scale. Data were collated and analysed using Stata 17.0 software. A total of 1245 articles were screened according to the search strategy, and ultimately 15 studies were included in this meta-analysis, with a total of 1606 patients with EC, of which 751 were treated with LH and 855 with OH. The results showed that the rate of postoperative wound infection was significantly higher (OR: 0.290; 95% CI: 0.169-0.496, p < 0.001), the length of hospital stay was significantly longer (SMD: -1.976, 95% CI: -2.669 to -1.283, p < 0.001), and the incidence of postoperative complications was significantly higher (OR: 0.366; 95% CI: 0.280-0.478, p < 0.001) in the OH group than in the LH group. This study showed that LH was superior to OH for the treatment of EC and is associated with a lower rate of wound infection, shorter length of hospitalisation, and a reduced risk of complications. Thus, our findings support the choice of LH over OH for EC.
Language	English
Publishing date	2023-09-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2170920-8
ISSN	1742-481X ; 1742-4801
ISSN (online)	1742-481X
ISSN	1742-4801
DOI	10.1111/iwj.14415
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Article ; Online: Notch Mutations as a Novel Biomarker for Immunotherapy.

Zhou, Fei / Zhou, Caicun

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer

2023 Volume 18, Issue 5, Page(s) e54–e56

MeSH term(s)	Humans ; Lung Neoplasms ; Immunotherapy ; Mutation ; Biomarkers ; Receptors, Notch/genetics
Chemical Substances	Biomarkers ; Receptors, Notch
Language	English
Publishing date	2023-03-29
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	2432037-7
ISSN	1556-1380 ; 1556-0864
ISSN (online)	1556-1380
ISSN	1556-0864
DOI	10.1016/j.jtho.2023.02.014
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Article ; Online: Score Dynamics: Scaling Molecular Dynamics with Picoseconds Time Steps via Conditional Diffusion Model.

Hsu, Tim / Sadigh, Babak / Bulatov, Vasily / Zhou, Fei

Journal of chemical theory and computation

2024 Volume 20, Issue 6, Page(s) 2335–2348

Abstract: We propose score dynamics (SD), a general framework for learning accelerated evolution operators with large timesteps from molecular dynamics (MD) simulations. SD is centered around scores or derivatives of the transition log-probability with respect to ... ...

Abstract	We propose score dynamics (SD), a general framework for learning accelerated evolution operators with large timesteps from molecular dynamics (MD) simulations. SD is centered around scores or derivatives of the transition log-probability with respect to the dynamical degrees of freedom. The latter play the same role as force fields in MD but are used in denoising diffusion probability models to generate discrete transitions of the dynamical variables in an SD time step, which can be orders of magnitude larger than a typical MD time step. In this work, we construct graph neural network-based SD models of realistic molecular systems that are evolved with 10 ps timesteps. We demonstrate the efficacy of SD with case studies of the alanine dipeptide and short alkanes in aqueous solution. Both equilibrium predictions derived from the stationary distributions of the conditional probability and kinetic predictions for the transition rates and transition paths are in good agreement with MD. Our current SD implementation is about 2 orders of magnitude faster than the MD counterpart for the systems studied in this work. Open challenges and possible future remedies to improve SD are also discussed.
Language	English
Publishing date	2024-03-15
Publishing country	United States
Document type	Journal Article
ISSN	1549-9626
ISSN (online)	1549-9626
DOI	10.1021/acs.jctc.3c01361
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Article ; Online: Asymmetric Defluoroallylation of 4-Trifluoromethylpyridines Enabled by Umpolung C-F Bond Activation.

Zhou, Fei-Yu / Jiao, Lei

Angewandte Chemie (International ed. in English)

2022 Volume 61, Issue 21, Page(s) e202201102

Abstract: Carbon-fluorine bond activation of the trifluoromethyl group represents an important approach to fluorine-containing molecules. While selective defluorinative functionalization reactions of ... ...

Abstract	Carbon-fluorine bond activation of the trifluoromethyl group represents an important approach to fluorine-containing molecules. While selective defluorinative functionalization reactions of CF
Language	English
Publishing date	2022-03-21
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202201102
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Article ; Online: The relationship between inflammatory cytokines and in-hospital complications of acute pancreatitis.

Yao, Jiaxin / Zhang, Shuangshuang / Zhou, Fei / Zhuang, Mengting / Fei, Sujuan

Immunity, inflammation and disease

2024 Volume 12, Issue 2, Page(s) e1203

Abstract: Objective: Acute necrotic collection (ANC), acute peripancreatic fluid collection (APFC), pleural effusion, and ascites are common early complications of acute pancreatitis. This study aimed to investigate the relationship between 12 serum cytokines and ...

Abstract	Objective: Acute necrotic collection (ANC), acute peripancreatic fluid collection (APFC), pleural effusion, and ascites are common early complications of acute pancreatitis. This study aimed to investigate the relationship between 12 serum cytokines and the early complications and severity of acute pancreatitis (AP). Methods: We retrospectively analyzed the clinical data of 307 patients with AP, and divided them into severe group and mild-to-moderate group according to the revised Atlanta classification. Propensity score matching was used to control for confounding factors. Binary logistic regression analysis was used to explore the relationship between cytokine levels and early complications of AP. Results: Serum levels of interleukin (IL)-1β, IL-5, IL-6, IL-8, IL-10, IL-17, and tumor necrosis factor-α were significantly higher in the severe acute pancreatitis (SAP) group than in the non-SAP group (p < .05). After adjusting for confounding factors, the upper quartiles of IL-6, IL-8, and IL-10 were associated with an increased risk of ANC compared with those in the lowest quartile (IL-6: quartile 3, odds ratio [OR] = 3.99, 95% confidence interval [CI] = 1.95-8.16; IL-8: quartile 4, OR = 2.47, 95% CI = 1.27-4.84; IL-10: quartile 2, OR = 2.22, 95% CI = 1.09-4.56). APFC was associated with high serum levels of IL-6 (quartile 3, OR = 1.32, 95% CI = 1.02-1.72), pleural effusions were associated with high serum levels of IL-1β, IL-6, IL-8, and IL-10 (IL-1β: quartile 4, OR = 2.36, 95% CI = 1.21-4.58; IL-6: quartile 3, OR = 4.67, 95% CI = 2.27-9.61; IL-8: quartile 3, OR = 2.95, 95% CI = 1.51-5.79; IL-10: quartile 4, OR = 3.20, 95% CI = 1.61-6.36), and high serum levels of IL-6 and IL-10 were associated with an increased risk of ascites (IL-6: quartile 3, OR = 3.01, 95% CI = 1.42-6.37; IL-10: quartile 3, OR = 2.57, 95% CI = 1.23-5.37). Conclusion: Serum cytokine levels, including IL-1β, IL-6, IL-8, and IL-10 may be associated with the occurrence of early complications of AP. In daily clinical practice, IL-6 may be the most worthwhile cytokine to be detected.
MeSH term(s)	Humans ; Cytokines ; Interleukin-10 ; Acute Disease ; Ascites/etiology ; Interleukin-6 ; Interleukin-8 ; Retrospective Studies ; Pancreatitis/complications ; Hospitals ; Interleukin-1beta
Chemical Substances	Cytokines ; Interleukin-10 (130068-27-8) ; Interleukin-6 ; Interleukin-8 ; Interleukin-1beta
Language	English
Publishing date	2024-02-27
Publishing country	England
Document type	Journal Article
ZDB-ID	2740382-8
ISSN	2050-4527 ; 2050-4527
ISSN (online)	2050-4527
ISSN	2050-4527
DOI	10.1002/iid3.1203
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Article ; Online: Bone marrow mesenchymal stem cell-derived exosomes promote osteoblast proliferation, migration and inhibit apoptosis by regulating KLF3-AS1/miR-338-3p.

Liu, Dacheng / Zhao, Xuechao / Zhang, Qiang / Zhou, Fei / Tong, Xiangyang

BMC musculoskeletal disorders

2024 Volume 25, Issue 1, Page(s) 122

Abstract: Aim: This study aimed to investigate the effect and mechanism of bone marrow mesenchymal stem cell-derived exosomes on osteoblast function.: Methods: The expression of KLF3-AS1 and miR-338-3p in serum of fracture patients was detected by qRT-PCR. ... ...

Abstract	Aim: This study aimed to investigate the effect and mechanism of bone marrow mesenchymal stem cell-derived exosomes on osteoblast function. Methods: The expression of KLF3-AS1 and miR-338-3p in serum of fracture patients was detected by qRT-PCR. Exosomes from BMSCs were isolated by ultrafast centrifugation. MC3T3-E1 cells were cultured in vitro as experimental cells. Intracellular gene expression was regulated by transfection of si-KLF3-AS1 or miR-338-3p inhibitors. MTT assay, Transwell assay and flow cytometry were used to evaluate cell viability, migration, and apoptosis. The luciferase reporter gene was used to verify the targeting relationship between KLF3-AS1 and miR-338-3p. Bioinformatics analysis was used to identify the basic functions and possible enrichment pathways of miR-338-3p target genes. Results: The expressions of KLF3-AS1 and miR-338-3p in the serum of fracture patients were down-regulated and up-regulated, respectively. The expression of KLF3-AS1 was increased in MC3T3-E1 cells cultured with BMSCs-Exo, while the viability and migration ability of MC3T3-E1 cells were enhanced, and the apoptosis ability was weakened. Further analysis revealed miR-338-3p was the target gene of KLF3-AS1. The expression of miR-338-3p was downregulated in MC3T3-E1 cells cultured with BMSCs-Exo. Inhibition of miR-338-3p in MC3T3-E1 cells enhanced the viability and migration ability of MC3T3-E1 cells when cultured with BMSCs-Exo, while suppressing apoptosis. Bioinformatics analysis demonstrated that the target genes of miR-338-3p were predominantly localized at the axon's initiation site, involved in biological processes such as development and growth regulation, and mainly enriched in MAPK and ErbB signaling pathways. Conclusion: In vitro, BMSCs-Exo exhibits the capacity to enhance proliferation and migration while inhibiting apoptosis of MC3T3-E1 cells, potentially achieved through modulation of KLF3-AS1 and miR-338-3p expression in MC3T3-E1 cells.
MeSH term(s)	Humans ; Apoptosis/genetics ; Biological Phenomena ; Cell Proliferation/genetics ; Exosomes/genetics ; Exosomes/metabolism ; Kruppel-Like Transcription Factors/genetics ; Kruppel-Like Transcription Factors/metabolism ; Mesenchymal Stem Cells/metabolism ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Osteoblasts/metabolism ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism
Chemical Substances	KLF3 protein, human ; Kruppel-Like Transcription Factors ; MicroRNAs ; MIRN338 microRNA, human ; RNA, Long Noncoding
Language	English
Publishing date	2024-02-09
Publishing country	England
Document type	Journal Article
ZDB-ID	2041355-5
ISSN	1471-2474 ; 1471-2474
ISSN (online)	1471-2474
ISSN	1471-2474
DOI	10.1186/s12891-024-07236-0
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Article ; Online: The effect of gonadotropin-releasing hormone analog treatment on the endocrine system in central precocious puberty patients: a meta-analysis.

Guo, Na / Zhou, Fei / Jiang, Xiaolan / Yang, Linlin / Ma, Huijuan

Journal of pediatric endocrinology & metabolism : JPEM

2024 Volume 37, Issue 3, Page(s) 197–208

Abstract: Objectives: Gonadotropin-releasing hormone (GnRHa) is the first choice for the treatment of patients with central precocious puberty (CPP). However, the effects of GnRHa on the endocrine system of CPP patients, including insulin sensitivity, lipid level, ...

Abstract	Objectives: Gonadotropin-releasing hormone (GnRHa) is the first choice for the treatment of patients with central precocious puberty (CPP). However, the effects of GnRHa on the endocrine system of CPP patients, including insulin sensitivity, lipid level, thyroid function, bone mineral density (BMD), and testosterone (T) level, are currently contradictory. Therefore, the long-term safety of GnRHa therapy remains controversial. Content: A systematic literature search was performed using PubMed, Embase, Cochrane Library, and CNKI databases. The changes in HOMA-IR, TG, LDL-C, HDL-C, TSH, FT3, FT4, T, and BMD in CPP patients before and after GnRHa treatment were compared by meta-analysis. As the heterogeneity between studies, we estimated standard deviation mean differences (SMDs) and 95 % confidence intervals (CIs) using a random-effects model. Egger's test was used to assess publication bias. Summary: A total of 22 studies were included in our meta-analysis. Compared with before GnRHa treatment, there were no statistically significant differences in endocrine indicators including HOMA-IR, TG, LDL-C, HDL-C, TSH, FT4, FT3, T, and BMD of CPP patients treated with GnRHa. Outlook: Treatment with GnRHa for central precocious puberty will not increase the adverse effect on the endocrine system.
MeSH term(s)	Humans ; Puberty, Precocious/drug therapy ; Puberty, Precocious/chemically induced ; Cholesterol, LDL ; Gonadotropin-Releasing Hormone ; Body Height ; Endocrine System ; Thyrotropin
Chemical Substances	Cholesterol, LDL ; Gonadotropin-Releasing Hormone (33515-09-2) ; Thyrotropin (9002-71-5)
Language	English
Publishing date	2024-01-19
Publishing country	Germany
Document type	Meta-Analysis ; Journal Article ; Review
ZDB-ID	1231070-0
ISSN	2191-0251 ; 0334-018X
ISSN (online)	2191-0251
ISSN	0334-018X
DOI	10.1515/jpem-2023-0480
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Article ; Online: Aldo-keto reductase-7A2 protects against atorvastatin-induced hepatotoxicity via Nrf2 activation.

Li, Dan / Chen, Jiajin / Zhou, Fei / Zhang, Wenhe / Chen, Hongyu

Chemico-biological interactions

2024 Volume 393, Page(s) 110956

Abstract: Atorvastatin (ATO), as a cholesterol-lowering drug, was the world's best-selling drug in the early 2000s. However, ATO overdose-induced liver or muscle injury is a threat to many patients, which restricts its application. Previous studies suggest that ... ...

Abstract	Atorvastatin (ATO), as a cholesterol-lowering drug, was the world's best-selling drug in the early 2000s. However, ATO overdose-induced liver or muscle injury is a threat to many patients, which restricts its application. Previous studies suggest that ATO overdose is accompanied with ROS accumulation and increased lipid peroxidation, which are the leading causes of ATO-induced liver damage. This study is, therefore, carried out to investigate the roles of anti-oxidant pathways and enzymes in protection against ATO-induced hepatotoxicity. Here we show that in ATO-challenged HepG2 cells, the expression levels of transcription factor NFE2L2/Nrf2 (nuclear factor erythroid 2 p45-related factor 2) are significantly upregulated. When Nrf2 is pharmacologically inhibited or genetically inactivated, ATO-induced cytotoxicity is significantly aggravated. Aldo-keto reductase-7A (AKR7A) enzymes, transcriptionally regulated by Nrf2, are important for bioactivation and biodetoxification. Here, we reveal that in response to ATO exposure, mRNA levels of human AKR7A2 are significantly upregulated in HepG2 cells. Furthermore, knockdown of AKR7A2 exacerbates ATO-induced hepatotoxicity, suggesting that AKR7A2 is essential for cellular adaptive response to ATO-induced cell damage. In addition, overexpression of AKR7A2 in HepG2 cells can significantly mitigate ATO-induced cytotoxicity and this process is Nrf2-dependent. Taken together, these findings indicate that Nrf2-mediated AKR7A2 is responsive to high concentrations of ATO and contributes to protection against ATO-induced hepatotoxicity, making it a good candidate for mitigating ATO-induced side effects.
MeSH term(s)	Humans ; Aldo-Keto Reductases/genetics ; Atorvastatin/pharmacology ; NF-E2-Related Factor 2/genetics ; NF-E2-Related Factor 2/metabolism ; Chemical and Drug Induced Liver Injury/prevention & control
Chemical Substances	Aldo-Keto Reductases (EC 1.1.1.-) ; Atorvastatin (A0JWA85V8F) ; NF-E2-Related Factor 2
Language	English
Publishing date	2024-03-12
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	218799-1
ISSN	1872-7786 ; 0009-2797
ISSN (online)	1872-7786
ISSN	0009-2797
DOI	10.1016/j.cbi.2024.110956
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Article ; Online: SMONAC: Supervised Multiobjective Negative Actor-Critic for Sequential Recommendation.

Zhou, Fei / Luo, Biao / Wu, Zhengke / Huang, Tingwen

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: Recent research shows that the sole accuracy metric may lead to the homogeneous and repetitive recommendations for users and affect the long-term user engagement. Multiobjective reinforcement learning (RL) is a promising method to achieve a good balance ... ...

Abstract	Recent research shows that the sole accuracy metric may lead to the homogeneous and repetitive recommendations for users and affect the long-term user engagement. Multiobjective reinforcement learning (RL) is a promising method to achieve a good balance in multiple objectives, including accuracy, diversity, and novelty. However, it has two deficiencies: neglecting the updating of negative action Q values and limited regulation from the RL Q-networks to the (self-)supervised learning recommendation network. To address these disadvantages, we develop the supervised multiobjective negative actor-critic (SMONAC) algorithm, which includes a negative action update mechanism and multiobjective actor-critic mechanism. For the negative action update mechanism, several negative actions are randomly sampled during each time updating, and then, the offline RL approach is utilized to learn their Q values. For the multiobjective actor-critic mechanism, accuracy, diversity, and novelty Q values are integrated into the scalarized Q value, which is used to criticize the supervised learning recommendation network. The comparative experiments are conducted on two real-world datasets, and the results demonstrate that the developed SMONAC achieves tremendous performance promotion, especially for the metrics of diversity and novelty.
Language	English
Publishing date	2023-10-03
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3317353
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