16,933 results on '"ZHAO Min"'
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2. The crystal structure of 3-(6-fluoro-1H-indol-3-yl)-1-methylquinoxalin-2(1H)-one, C17H12FN3O
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Ni Hang-Cheng, Zhao Min, Li Wen-An, Liu Zhen-Xiang, Shao Ling-Li, and Chen Miao-Miao
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2356296 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C17H12FN3O, orthorhombic, Pbca (no. 61), a = 14.7608(7) Å, b = 7.2802(4) Å, c = 24.4842(13) Å, V = 2,631.1(2) Å3, Z = 8, Rgt(F) = 0.0900, wRref(F2) = 0.1841, T = 170 K.
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- 2024
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3. On the p-fractional Schrödinger-Kirchhoff equations with electromagnetic fields and the Hardy-Littlewood-Sobolev nonlinearity
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Zhao Min, Song Yueqiang, and Repovš Dušan D.
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hardy-littlewood-sobolev nonlinearity ,schrödinger-kirchhoff equations ,variational methods ,electromagnetic fields ,35j10 ,35b99 ,35j60 ,47g20 ,Mathematics ,QA1-939 - Abstract
In this article, we deal with the following pp-fractional Schrödinger-Kirchhoff equations with electromagnetic fields and the Hardy-Littlewood-Sobolev nonlinearity: M([u]s,Ap)(−Δ)p,Asu+V(x)∣u∣p−2u=λ∫RN∣u∣pμ,s*∣x−y∣μdy∣u∣pμ,s*−2u+k∣u∣q−2u,x∈RN,M({\left[u]}_{s,A}^{p}){\left(-\Delta )}_{p,A}^{s}u+V\left(x){| u| }^{p-2}u=\lambda \left(\mathop{\int }\limits_{{{\mathbb{R}}}^{N}}\frac{{| u| }^{{p}_{\mu ,s}^{* }}}{{| x-y| }^{\mu }}{\rm{d}}y\right){| u| }^{{p}_{\mu ,s}^{* }-2}u+k{| u| }^{q-2}u,\hspace{1em}x\in {{\mathbb{R}}}^{N}, where 0
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- 2024
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4. Apple weight estimation based on joint image optimal feature extraction and improved RBF neural network
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ZHAO Min, WANG Chengrong, and LI Run
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apple ,image processing ,feature extraction ,rbf ,grasshopper optimization algorithm ,weight estimation ,accuracy ,Food processing and manufacture ,TP368-456 - Abstract
Objective: Taking Aksu apples as an example, a joint image optimal feature extraction and improved RBF neural network learning apple weight estimation method is designed to overcome the high cost and large error of manual grading and weighing. Methods: Firstly, an apple image acquisition system was established to obtain apple foreground image information. Secondly, the optimal subset extraction strategy for apple image feature sets was designed, by transforming the process of extracting the optimal subset into an objective function optimization problem, and an improved discrete locust optimization algorithm was designed to obtain the optimal apple image feature subset. Finally, a weight estimation model for apples based on RBF neural network learning was constructed, with the optimal feature subset as network input. The locust optimization algorithm was used to optimize the configuration of RBF neural network hyperparameters, to achieve effective estimation of apple weight. Results: The proposed apple weight estimation method had higher accuracy, with an average relative error rate of 1.23% for weight estimation. Conclusion: This method can effectively achieve apple weight estimation and can also be applied to other fruits with similar axisymmetric shapes for weight estimation.
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- 2024
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5. Genotoxicity analysis and identification of citrinin based on a systematic literature search
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WANG Kexin, TAN Jianbin, LI Qing, CHEN Bifeng, and ZHAO Min
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citrinin ,genotoxicity ,gene mutation ,chromosome aberration ,dna damage ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Citrinin (CIT) is a mycotoxin produced by several species of the genera Aspergillus, Penicillium, and Monascus, and it often contaminates grains and grain products. CIT shows clear nephrotoxicity, while its carcinogenicity evidence is insufficient. Considering the ability of genotoxicity tests to screen chemicals for potential carcinogenicity, the genotoxicity of CIT was reviewed from the perspective of three genetic endpoints, including genetic mutation, chromosomal aberrations, and DNA damage. CIT is a genotoxic substance that induces chromosomal aberrations. The mechanism may be related to its influence on tubulin polymerization and spindle formation during cellular mitosis, thereby causing cell cycle blocking. This study provides basic data for follow-up risk assessments of CIT.
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- 2023
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6. Behavioral and eye movement study of attention bias to alcohol-related cues in male alcohol-dependent patients and correlation analysis of psychological factors
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SI Yuqi, LUO Ruyan, CHEN Tianzhen, WANG Lihui, ZHONG Na, JIANG Haifeng, and ZHAO Min
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alcohol dependence ,attention bias ,dot-probe ,eye movement ,Medicine - Abstract
Objective·To investigate if male alcohol-dependent patients have attention bias to alcohol-related pictures, show the behavioral and eye movement characteristics of attention bias, and explore the correlation between attention bias and sleep, anxiety, depression, impulsion and other psychological factors.Methods·Twenty-nine subjects in the case group (alcohol-dependent patients who were hospitalized in Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, from August 2021 to February 2022) and 29 healthy subjects in the healthy control group participated in the study. The experimental design was a mixed experimental design of three-factor hybrid. The cue types were alcohol-related and emotion pictures. The probe was on the same side or on the opposite side of the alcohol or emotional picture. The characteristics of subjects' attentional bias to alcohol cues were investigated by using the classical dot detection paradigm and eye movement monitoring technique. Groups were inter-group variables, and clue types and relative locations of probe points were intra-group variables. The behavioral and eye movement data were collected while the study subjects viewed pairs of alcohol-related and neutral pictures, or pairs of emotional and neutral pictures in a dot-probe paradigm. Dependent variables included behavioral indicators and eye movement indicators. Pittsburgh Sleep Quality Index (PSQI), 7-tiem Generalized Anxiety Disorder Scale (GAD-7), Patien Health Questionnaire (PHQ-9), and Barratt Impulsiveness Scale (BIS-11) scales were used to assess psychosomatic conditions such as sleep, anxiety, depression, and impulsivity, respectively. Behavioral and eye movement characteristics of attention bias in the alcohol-dependent group were analyzed. In addition, the correlation with behavioral and eye movement characteristics of attention bias and scale scores was analyzed.Results·The behavioral results showed that the reaction time of the alcohol-dependent group was significantly longer than that of the healthy control group (P=0.006). The eye movement results showed that when the type of cue was alcohol-related picture, the alcohol-dependent group had slower attention detection (P=0.031) and longer attention maintenance (P=0.005) on alcohol-related cues. Moreover, the pupil size during the viewing of alcohol-related cues (P=0.001) and emotional cues (P=0.008) were significantly smaller than those of the healthy control group. It was also found that, there was a negative correlation between the correct rate of the alcohol-dependent group and the BIS-11 scale score (r=-0.437, P=0.032), and a positive correlation between reaction time and GAD-7 score (r=0.407, P=0.033). The time of the first visual fixation entry was positively correlated with GAD-7 score (r=0.414, P=0.045), and the PSQI score was positively correlated with PHQ-9 score (r=0.422, P=0.041) in the case group.Conclusion·Alcohol-dependent patients have attention bias towards alcohol-related cues according to the behavioral and eye movement result. Compared with the traditional behavioral regression of attention bias based on correct rate and reaction time results, eye movement provides more direct and multi indicator evidence for the evaluation of attention bias in alcohol-dependent patients.
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- 2023
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7. Research on the development of rural e-commerce platform on the live marketing model of agricultural products
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Zhao Bei, Song Qianxin, and Zhao Min
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agricultural products ,e-commerce live broadcast ,logit model ,4c theory ,68t05 ,Mathematics ,QA1-939 - Abstract
In the process of rural revitalization, rural e-commerce is gradually realizing the development of scale and is transforming into the live broadcast e-commerce mode. This paper investigates and expands on the live broadcast e-commerce marketing model for agricultural products. Firstly, the strategy of the live broadcast marketing model is explored from the digital level, and three divisions of the e-commerce business model are discussed. The data were obtained by questionnaire survey, and the effect of live agricultural e-commerce on farmers’ sales was empirically analyzed by using the ordered Logit model, which provides a theoretical basis and support for the implementation of the rural revitalization strategy and the promotion of agricultural income. Secondly, the problems and deficiencies in the field of live marketing are analyzed in combination with the 4C theory. The current situation of live marketing is analyzed in the light of consumer characteristics, cost composition, and the convenience of the shopping process. Finally, targeted strategies and suggestions are put forward for the problems of the e-commerce live marketing model. The results of the Logit regression passed the significance test of 5%, which indicated that the agricultural products e-commerce live marketing model can Improve the income level of farmers.
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- 2024
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8. In Vitro Antifungal Activity of Dihydrochelerythrine and Proteomic Analysis in Ustilaginoidea virens
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Wei Qinghui, Cui Daizong, Zheng Baojiang, and Zhao Min
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dihydrochelerythrine ,Ustilaginoidea virens ,antifungal activity ,spore growth ,apoptosis ,Plant culture ,SB1-1110 - Abstract
Dihydrochelerythrine (DHCHE) is an isoquinoline compound, which has distinct antifungal activity and can induce apoptosis. The antifungal activity of DHCHE against five rice pathogenic fungi was studied in vitro. At the concentration of 7.5 mg/L, DHCHE exhibited the highest efficacy among tested compounds in inhibiting mycelium growth, with an inhibition rate of 68.8% in Ustilaginoidea virens, which was approximately 2.4 times of that of validamycin (28.7%). After exposure to DHCHE, transmission electron micrographs revealed spores showed incomplete organelles, malformed cell walls and nuclear membranes, as well as irregular lipid spheres. Reactive oxygen species accumulation in treated spores was markedly higher than that in control spores. DHCHE induced cell damage increased in a dose-dependent manner, as indicated by the decrease in mitochondrial membrane potential and initiation of apoptosis. The differences of expression levels of Fip1, ACP1, PMS2 and COX13 that are important for oxidative phosphorylation and mismatch repair pathway were significant, which may be some of the reasons for the induction of apoptosis in DHCHE-treated U. virens. The protein levels of Fip1, ACP1, PMS2 and COX13 agreed with protein fold change ratio from parallel reaction monitoring Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathway of differentially expressed proteins were further analyzed. These findings will help to elucidate the mechanisms associated with antifungal and pro-apoptotic effects of DHCHE on U. virens, thereby aiding the potential development of novel pesticides.
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- 2023
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9. Composition analysis and preliminary safety evaluation of edible Monascus red pigment
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WANG Kexin, TAN Jianbin, HUANG Zhenfeng, WANG Hongxia, YANG Xingfen, CHEN Bifeng, HU Tingting, HUANG Zhibiao, ZHAO Min, and ZENG Zhuanping
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monascus red ,food pigment ,component analysis ,safety evaluation ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
ObjectiveTo provide scientific basis for the development and utilization of edible pigment Monascus red, the analysis of its key components and toxicological evaluation were carried out.MethodsIdentification test and physicochemical indexes test were carried out based on the samples according to the method in National food safety standard GB 1886.181—2016. The content of citrinin (CIT) and Monacolin K were detected through high performance liquid chromatography (HPLC). UPLC-Orbitrap-MS2 were used for chemical composition and content determination, in which the molecular structure was also characterized. The 14-day oral toxicity test of SD rats was carried out, based on the acute oral toxicity test of Monascus red by the limited method.ResultsThe quality and specification of test samples conformed to the provisions of China National Food Safety Standard. The content of CIT and Monacolin K was 0.030 8 mg/kg (converted as one color value) and 0.166 mg/g. Twenty compounds were separated in Monascus red by UPLC-Orbitrap-MS2, red pigment, orange pigment and yellow pigment of it accounted for 88.38%, 2.04% and 5.96%, respectively. The results of acute oral toxicity showed that Monascus red was innocuous (LD50>20 g/kg·BW). In the 14-day repeated oral dose toxicity test, compared with the control group, rats in 5 g/kg·BW dose group exhibited no significant differences in the general clinical observation, growth and development, hematology, blood biochemistry, routine urine detection, gross anatomy,organ weight,organ-to-body ratio, and histopathological examinations.ConclusionMonascus red is composed of multiple components characterized by red pigments. There is no obvious toxic effects found in the preliminary safety evaluation, which can provide reference for further long-term research.
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- 2023
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10. Imbalanced Fake Reviews?Detection with Ensemble Hierarchical Graph Attention Network
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ZHAO Min, ZHANG Yueqin, DOU Yingtong, ZHANG Zehua
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fake review detection ,hierarchical graph attention network ,network representation learning ,ensemble learning ,imbalanced data classification ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
As a hot spot in machine learning, graph neural networks (GNN) have recently begun to be applied in the field of fraud detection involving user reviews. In reality, the collected user comments involve diverse fields and complex information, and the fraud information in the massive user-generated content is usually in the minority, so that the GNN-based fraud detection methods are not ideal for this task. Aiming to solve the problems of heterogeneous features and uneven data distribution, a new ensemble hierarchical graph attention network (En-HGAN) detection method is proposed through modeling the review system as a heterogeneous network. The hierarchical attention is used to learn representations with richer semantics for comments by making full use of user behavior information in the heterogeneous network, and the Bagging framework introducing random under sampling is adopted to aggregate multiple discriminative HGAN sub-models, thereby reducing the effective information loss as well as enhancing the detection ability for fraud comments. Experimental results on YelpChi and Amazon real datasets show that this method has good anomaly detection performance. Compared with state-of-the- art methods, experimental results show that this method has nice robustness to deceptive entities when the data category is skewed.
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- 2023
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11. Research progress on the characterization of irradiation damage defects and performance control of titanium alloy
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YE Yongqiang, HAN Yuanfei, ZHAO Min, HUANG Guangfa, and LYU Weijie
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titanium alloys ,radiation damage ,defect ,microstructure ,mechanical property ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
Under the high-energy particle impingement and cascade effect, different types of radiation damage defects occur in metals. The aggregation and evolution of radiation damage defects can lead to the destruction of the internal structural stability and the deterioration of their properties of metals. Titanium alloy is a promising radiation resistant alloy due to its advantages of light weight, high strength, high temperature resistance and low radiation activity. Aiming at the improvement of the radiation damage resistance, this work summarizes the research progress on the radiation damage defects, the microstructural features and mechanical properties of titanium alloys. In addition, the formation and evolution of radiation damage defects and the influence mechanism of radiation dose, temperature and element species on defect migration and aggregation are analyzed. The microstructure evolution of titanium alloys induced by irradiation and the radiation damage effects such as radiation hardening, radiation embrittlement and radiation creep are discussed. The radiation damage resistance properties of titanium alloys are summarized and evaluated. The existing researches are lack effective methods to inhibit the radiation damage. Finally, the effective strategies to improve the radiation resistance of titanium alloys through composition regulation and interface microstructure design are prospected.
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- 2022
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12. Prognostic Factors in Patients with Advanced Lung Adenocarcinoma Treated with Icotinib
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ZHANG Hongbin, ZHU Lingling, XIE Jiong, CAI Hongmei, JI Qiaoxia, LIANG Xiangcun, LI Hua, WANG Yuan, and ZHAO Min
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lung cancer ,egfr ,tki ,icotinib ,neoplasm metastasis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To investigate the relationship between the treatment of EGFR-TKI icotinib and the prognosis of advanced lung adenocarcinoma patients with EGFR mutation. Methods Patients with advanced lung adenocarcinoma who had EGFR19 and 21 gene mutations and were treated with EGFR-TKI icotinib were enrolled. The relationships of clinical features, EGFR gene mutation subtypes, and different sites with patients'prognosis were analyzed. Results A total of 101 patients with advanced lung adenocarcinoma were included in this study, including 58 cases (57.4%) of EGFR gene exon 19 deletion mutation (EGFR Del19) and 43 cases (42.6%) of EGFR gene exon 21 point mutation (EGFR L858R). The objective response rate was 63.4%. The mPFS and mOS were 13 months and 27 months, respectively. In addition, the mPFS and mOS of EGFR Del19 and EGFR19 mutation 746-750 were higher than those of EGFR L858R and other EGFR mutations, respectively. Meanwhile, multivariate analysis showed that the number of metastatic sites and pleural metastasis were independent influencing factors of patients'OS (P=0.027; P=0.041). The mOS of patients with the number of metastatic sites ≤3 and without pleural metastasis were 29 and 27 months, respectively. Conclusion There is no significant difference found in overall survival of advanced lung adenocarcinoma patients treated with icotinib among different EGFR mutation subtypes and sites. Herein, the overall survival time is longer in patients with less than three metastatic sites and without pleural metastasis.
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- 2022
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13. Genome-wide identification of MAPK family genes and their response to abiotic stresses in tea plant (Camellia sinensis)
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Liu Xinhao, Zhao Min, Gu Caihua, Jiang Haodong, Sun Junyan, and Li Jie
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tea plant ,mitogen-activated protein kinase ,gene expression ,abiotic stresses ,Biology (General) ,QH301-705.5 - Abstract
Mitogen-activated protein kinase (MAPK) cascades are conserved and universal signal transduction modules that play important roles in regulating stress responses in plants. Although MAP3K, MP2K, and MPK family in tea plant (Camellia sinensis) have been investigated, little is known about MPK family genes responding to various abiotic stresses in tea plant. In this study, we performed a comprehensive genome-wide analysis of the tea plant MAPKs (CsMPKs) family gene based on the genomic data of tea plants by bioinformatics-based methods. Here, 21 putative CsMPK genes were identified in the tea plant and divided into 4 subfamilies according to the homologous to Arabidopsis and their phylogenetic relationships. The gene structure and conserved motifs of these CsMPKs in the same group showed high similarity, suggesting that they were highly conserved and might have a similar function. The expression profiles of the CsMPK genes were further investigated by quantitative real-time reverse transcription PCR, indicating that many CsMPK genes were involved in response to cold, drought, heat, or heat combined with drought treatment, suggesting their potential roles in abiotic stress responses in tea plant. These results would provide valuable information for further exploring the functional characterization of CsMPK genes in tea plants.
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- 2022
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14. Research and Application on Industrial Internet Ecosystem Model
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Zhao Min, Liu Junyan, and Zhu Duoxian
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industrial Internet, ecosystem, model, digital intelligence flow, dynamic value flow ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Industrial Internet can drive the high-quality development of industries, and accelerating the development of industrial Internet is conducive to the transformation and upgrading of China’s manufacturing industry and to the improvement of its international competitiveness. To build an industrial Internet model that is universally adapted to large, medium, small, and micro enterprises, this study analyzes the existing industrial Internet models in China and abroad, and proposes an industrial Internet ecosystem model (IIEM) composed of three dimensions and six layers. Additionally, the operation mechanism of IIEM is presented in terms of entity, resource, digital intelligence, and dynamic value flows. Digital intelligence flow exhibits the flow value of data—a new production factor—at different levels and dimensions of IIEM, which explains the basic logic for improving the intelligent level of enterprise production systems and delivered products and expounds on the basic paths of digital transformation. IIEM emphasizes industrial attributes. Furthermore, the effectiveness of IIEM in assisting enterprises to understand the evolution and realization paths of industrial Internet and to integrate into the industrial Internet platform is verified through case study.
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- 2022
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15. Optimum parameters and application of buckwheat noodle composite preformed powder
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ZHAO Min, YANG Bao-wei, HU Jian, and WANG Rong-lan
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buckwheat ,coarse cereals noodles ,formula of preformed powder ,non-fried instant noodles ,Food processing and manufacture ,TP368-456 - Abstract
Objective: This study aimed to explore the best parameters of buckwheat noodle composite preformed powder. Methods: Single factor experiment, multi-index comprehensive evaluation method and orthogonal experiment were used to optimize the special composite preformed powder recipe of buckwheat noodles. Results: The best parameters of buckwheat noodle composite preformed powder were 45% of buckwheat flour, 8% of modified starch, 1.2% of compound phosphate and 3% of gluten powder. In this situation, the tensile area of composite flour dough was 3 378.6 g·mm; the stabilization time was 7.23 min, the content of wet gluten was 23.71%; the sensory score was 89.2; the comprehensive score of multiple indexes was 0.926 5. Compared to the groups of single factor test and orthogonal test, the quality of composite powder in each test group was significantly improved (P<0.05), and its application in non-fried instant noodles had a good effect. Conclusion: The optimized composite powder can be used as the raw powder of various kinds of noodles, such as buckwheat coarse grain noodles, semi-dry noodles and new-type non-fried coarse cake.
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- 2022
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16. Effects of Circular RNA hsa_circ_0001922 on Proliferation, Migration and Invasion of Prostate Cancer Cells and Its Potential Molecular Mechanism
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ZHANG Yanyan, ZHAO Min, LIU Jing, GUO Hongyan, HU Yinying, ZHAO Lin, and WANG Zhigang
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prostate cancer ,hsa_circ_0001922 ,proliferation ,invasion ,emt ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To investigate the effect of circular RNA hsa_circ_0001922 on the proliferation, migration and invasion of prostate cancer cell PC-3 and its underlying molecular mechanism. Methods qRT-PCR and RNA FISH were used to detect the expression level and localization of hsa_circ_0001922 in PC-3 cells respectively. After hsa_circ_0001922 was targeted inhibited, clone formation, Transwell assay and scratch assay were used to detect the proliferation, migration and invasion abilities of PC-3 cells. qRT-PCR and Western blot were used to detect the expression levels of EMT pathway-related molecules after inhibiting hsa_circ_0001922. Results The expression of circular RNA hsa_circ_0001922 was increased in PC-3 cells (P < 0.01) and it existed in the cytoplasm and nucleus. The invasion, migration and invasion abilities were significantly weakened (P < 0.05) after inhibiting hsa_circ_0001922; the expression of E-cadherin mRNA increased (P < 0.05) while the mRNA level of Vimentin decreased (P < 0.05). The results of Western blot were consistent with the above (both P < 0.05). Conclusion The circular RNA hsa_circ_0001922 may promote the proliferation, migration and invasion of PC-3 cells through the EMT pathway.
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- 2022
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17. Comparative study on genotoxicity methods between OECD Test guidelines and GB15193
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ZHANG Xiaopeng, ZHAO Min, YU Zhou, and JIA Xudong
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oecd ,gb15193 ,genotoxicity ,national food safety standard ,test guideline ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
ObjectiveThe purpose of this study is to compare genotoxicity methods between OECD test guidelines and China food safety standards(GB15193).MethodsMain parameters of related genotoxicity methods in OECD Testing Guidelines and GB 15193 standards were compared and analyzed.ResultsThe methodology system of genotoxicity tests was similar between OECD and GB15193. However, there were some different recommendations in some parameters including cells/animal selection, treatment concentrations/dose selection and evaluation of results, etc.ConclusionAs a set of internationally recognized standards, OECD test guidelines can be beneficial to the improvement of GB15193 standards on genotoxicity.
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- 2022
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18. Waveform optimization technology of missile borne radar based on FSK-PSK composite modulation for anti repeater jamming
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FEI Zhiting, ZHAO Min, ZHANG Jindong, LI Chen, and ZHU Xiaohua
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composite modulation signal ,intrapulse slice repeater ,waveform optimization ,alternating direction method of multiplier ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
Aiming at the waveform of missile borne radar is simple and easy to be affected by the repeater jamming in the terminal guidance, an anti-jamming waveform optimization algorithm based on the frequency shift keying(FSK) and phase shift keying(PSK) composite modulation is proposed. The model function of FSK-PSK composite modulation signal is analyzed. Based on the orthogonality of sub pulses, an optimization algorithm of intra pulse PSK modulation based on the alternating direction multiplier method(ADMM) is designed. The simulation results show that comparing with PSK signal, the intra pulse sub pulse orthogonality of FSK-PSK signal optimized by modulation is improved by about 10 dB, which can effectively suppress the intra pulse forwarding interference.
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- 2022
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19. Evaluation of Cross-Layer Network Vulnerability of Power Communication Network Based on Multi-Dimensional and Multi-Layer Node Importance Analysis
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Zhao Min, Wu Muqing, Qiao Lilin, An Quanbiao, and Lu Sixu
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Smart grid ,power communication network ,complex network ,node importance ,network vulnerability ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Power communication network (PCN) is the cornerstone of the stable operation of smart grid. The evaluation of the essential vulnerability of the PCN based on the node importance is advantageous to the protection of critical nodes and the improvement of the reliability and controllability of the system. So, firstly, this paper establishes a multi-index evaluation system for the analysis of important nodes. Based on the site operation level, site load capacity, network topology, service flow, service quality requirements and security operation requirements, the network characteristics of nodes are divided into four layers to describe. Meanwhile, the characteristics of node topology are subdivided into three dimensions to analyze. Then, fully considering the coupling between power network and communication network, a multi-dimensional and multi-layer node importance (MMNI) model based on entropy weight method is proposed. Combined the long-term and short-term vulnerability loss, the node cross-layer vulnerability loss (CVL) function and network cross-layer loss entropy (CVE) model are proposed. Finally, based on the actual power communication network, under different attacks and fault strategies, the changes of maximum network connectivity and network cross layer loss entropy are compared. It shows the effectiveness and accuracy of the MMNI model for the analysis and evaluation of important nodes and it provides a theoretical basis for key weak point identification and the network optimization.
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- 2022
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20. Continuous Space Production of Living Heritage Sites Based on TSL Model: A Case Study of the Old Town of Lijiang
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Zhao Min, Li Peng, Chen Changchun, and Bian Zhiwei
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continuous space production ,living heritage site ,tsl model ,spatial ternary dialectics ,old town of lijiang ,Geography (General) ,G1-922 - Abstract
Living heritage sites will have continuous changes in continuous use, and the general rule of their evolution has not been systematically studied. The evolution of living heritage sites is a continuous space production process. It is of great significance to reveal its characteristics and logic for the protection, utilization and inheritance of living heritage sites. Tradition, site and living are the three elements to express the liveness of heritage sites. The three elements are coupled with the "spatial ternary dialectics" (representation of space - space practice-space of representation) to build a TSL (Tradition-Site-Living) model. Applying this model to study Old Town of Lijiang, it is found that: 1) The Old Town has experienced three stages of space production, namely "consumption in space" around the intention of the ruling class under the guidance of political function, "production in space" around the needs of the citizen class under the guidance of industrial and commercial function, and "space production and consumption" centered on the activities of outside operators and tourists under the guidance of tourism function. Core communities have played a key role, and the reconstruction of core communities in different periods has a direct impact on the transformation of space production. 2) The change of external environment factors promotes the succession of the core use functions of the Old Town, triggering the interaction of living, site and tradition, so as to realize the space production process of each stage. The function adjustment is inseparable from the transformation of physical space, and the shaping of place will lead to the change of social life and the variation of cultural tradition. The power subject in social relations restricts the shaping of place and guides social life through traditional construction. The reconstruction of social relations can promote cultural exchanges and traditional evolution, and the transformation of lifestyle will promote the adjustment and optimization of physical space. 3) The continuous space production of living heritage sites is the result of the operation of endogenous mechanism driven by external factors, which follows three logics: the continuous change of time and space, the driving of external environmental factors and the operation of internal living elements. The logic of temporal and spatial continuous change shows that the living heritage sites are constantly changing in the continuous space production, but always inherit the historical and cultural value. The driving logic of external environmental factors shows that the change of external political and economic environment leads to the transformation of physical space, and the change of external social and cultural environment leads to the change of social structure, lifestyle and cultural representation. The operation logic of internal living elements shows that the ternary interaction of "living-site-tradition" is the operating mechanism of continuous space production of living heritage sites. The living heritage site is a space-time continuum composed of time, environment and space, and the TSL model provides a theoretical framework for revealing the basic rule of continuous changes in living heritage sites.
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- 2022
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21. Mechanical and microscopic properties of fiber-reinforced coal gangue-based geopolymer concrete
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Xu Zhong, Wu JiaNing, Zhao Min, Bai ZhiJie, Wang KunYun, Miao JieWei, and Tan ZhuoYue
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geopolymer concrete ,coal gangue ,fiber-reinforced concrete ,mechanical properties ,microscopic morphology ,Technology ,Chemical technology ,TP1-1185 ,Physical and theoretical chemistry ,QD450-801 - Abstract
In order to explore the engineering application potential of coal gangue-based geopolymer concrete (CGGPC), this article formulated the fiber-reinforced coal gangue-based geopolymer concrete (FRCGGPC). The mechanical properties of the specimens were tested to analyze the effects of different types and dosing amounts of fibers on the mechanical properties of CGGPC. The microscopic morphology of the specimens was observed by scanning electron microscopy (SEM) to analyze the strengthening mechanism of fibers on the mechanical properties of the CGGPC. The experimental results show that the splitting tensile strength of FRCGGPC can be improved obviously, but the improvement of compressive strength is not obvious. The control groups containing steel fiber (SF) and polyester fiber (PF) had peaks in their compressive strength. Under the same dosage, the effect of SF and PF on the splitting tensile strength of FRCGGPC is better than basalt fiber. The results of SEM analysis show that within a certain range of dosage, the fiber is closely combined with the matrix, which has a good force transmission effect and strengthens the matrix material. When the fiber dosage is too much, it is easy to agglomerate, which leads to the decrease in the mechanical properties of the specimens.
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- 2022
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22. Relationship between schizotypal personality traits and creativity in college students: mediating role of cognitive flexibility
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Zhang Linghui, Wang Ruige, Liu Jia, Zhang Tianlin, Yuan Junqi, Li Wenfu, and Zhao Min
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schizotypal personality ,cognitive flexibility ,creativity ,mediating effect ,Psychology ,BF1-990 ,Psychiatry ,RC435-571 - Abstract
ObjectiveTo explore the relationship between schizotypal personality traits and creativity in college students and the mediating role of cognitive flexibility.MethodsSchizotypal Personality Questionnaire (SPQ), Cognitive Flexibility Inventory (CFI) and Williams Creative Aptitude Test (WCAT) were used to assess 471 college students. Thereafter, Spearman correlation analysis was used to explore the relationship among the variables and the Bootstrap methodology was used to estimate the mediating role of cognitive flexibility.ResultsThe total SPQ, positive and disorganized schizotypal traits scores, and CFI score were all positively correlated with WCAT score (r=0.241~0.313, P
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- 2021
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23. Analysis of non-retinopathy of prematurity (ROP)–related fundus hemorrhage in preterm infants in China
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Sun Yaoyao, Deng Kaixin, Li Xiaoxin, Zhao Min, Jiang Yanrong, Yin Hong, Qi Huijun, Qian Tong, Linghu Dandan, Yu Wenzhen, Zhao Mingwei, and Liang Jianhong
- Subjects
fundus hemorrhage ,new born ocular screening ,premature ,optometry ,retinopathy of prematurity ,Pediatrics ,RJ1-570 - Abstract
ObjectiveTo determine the incidence of fundus hemorrhage (FH) not associated with retinopathy of prematurity (ROP) during ocular screening and report their clinical features, risk factors, therapies, and prognosis in a large population of premature newborns.MethodsThe medical records of all preterm newborns admitted to the Department of Ophthalmology, Peking University People's Hospital, Beijing, from January 1, 2016 through August 31, 2021 were retrospectively reviewed. Fundus examinations were carried out by experienced retinal experts. Examination under anesthesia was carried out in newborns with abnormal fundus including vitreous hemorrhage (VH) or retinal hemorrhage (RH) >2 disks' diameter by a Retcam 2 system. A lens-preserving vitrectomy was performed in infants requiring a vitrectomy. A comprehensive medical history was also recorded and analyzed.ResultsDuring the 5-year period, a total of 7,260 preterm babies were screened. There were 82 (1.13%) newborns and 104 (0.72) eyes with FH, including VH or RH.Twelve (14.63%) newborns (16 eyes, 15.38%) had VH; 56 (68.29%) (74 eyes, 71.15%) had flame-shaped, superficial hemorrhages; six (7.31%) (6 eyes, 5.77%) had small, round, deep hemorrhages (2 disk diameters). In all, there were 10 (12.20%) cases of intracranial hemorrhage. The mode of delivery was not found to be a significant factor in the occurrence of birth-related retinal hemorrhage (P = 0.22).Six newborns (eyes) with large, round retinal hemorrhage at the posterior pole while the macular was not impacted and 11 cases (15 eyes) with vitreous hemorrhage were required to receive close follow-up with average follow-up time of 105 days. A lens-sparing vitreous surgery was conducted in three patients without any complications.ConclusionPreterm newborns with FH that are not caused by ROP are more likely to have superficial, peripheral hemorrhages. Vaginal delivery compression and forceps may be associated with hemorrhage. A lens-preserving vitrectomy is required and considered safe for dense FH involving the refractive media.
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- 2022
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24. Unrolling Plug-and-Play Network for Hyperspectral Unmixing
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Zhao, Min, Tang, Linruize, and Chen, Jie
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Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Deep learning based unmixing methods have received great attention in recent years and achieve remarkable performance. These methods employ a data-driven approach to extract structure features from hyperspectral image, however, they tend to be less physical interpretable. Conventional unmixing methods are with much more interpretability, whereas they require manually designing regularization and choosing penalty parameters. To overcome these limitations, we propose a novel unmixing method by unrolling the plug-and-play unmixing algorithm to conduct the deep architecture. Our method integrates both inner and outer priors. The carefully designed unfolding deep architecture is used to learn the spectral and spatial information from the hyperspectral image, which we refer to as inner priors. Additionally, our approach incorporates deep denoisers that have been pretrained on a large volume of image data to leverage the outer priors. Secondly, we design a dynamic convolution to model the multiscale information. Different scales are fused using an attention module. Experimental results of both synthetic and real datasets demonstrate that our method outperforms compared methods.
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- 2024
25. Experimental study on mechanical properties and microstructures of steel fiber-reinforced fly ash-metakaolin geopolymer-recycled concrete
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Xu Zhong, Huang Zhenpu, Liu Changjiang, Deng Xiaowei, Hui David, Deng Yuting, Zhao Min, and Qin Libing
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sf ,geopolymer ,recycled concrete ,orthogonal test ,microstructure ,Technology ,Chemical technology ,TP1-1185 - Abstract
Geopolymer cementitious materials and recycled aggregate are typical representatives of material innovation research in the engineering field. In this study, we experimentally investigated a method to improve the performance of geopolymer-recycled aggregate concrete (GRAC). The recycled concrete aggregates and steel fiber (SF), fly ash (FA), metakaolin (MK), and sodium silicate solution were used as the main raw materials to prepare fiber-reinforced geopolymer-recycled aggregate concrete (FRGRAC). First, the orthogonal test was carried out to study the GRAC, and the optimal mix proportion was found. Second, building on the optimal mix proportion, the effects of the SF content on the slump, 7 and 28 days compressive strength, tensile strength, and flexural strength of FRGRAC were further studied. Finally, the microscopic mechanism of FRGRAC was studied by scanning electron microscopy (SEM). The study results indicate that the slump continues to decrease as the fiber content increases, but the compressive strength, tensile strength, and flexural strength increase to a certain extent. Through SEM analysis, it is found that SF restrains the development of cracks and improves the strength of concrete.
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- 2021
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26. Gut epithelial electrical cues drive differential localization of enterobacteria
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Sun, Yaohui, Ferreira, Fernando, Reid, Brian, Zhu, Kan, Ma, Li, Young, Briana M, Hagan, Catherine E, Tsolis, Renée M, Mogilner, Alex, and Zhao, Min
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Microbiology ,Biological Sciences ,Foodborne Illness ,Lung ,Emerging Infectious Diseases ,Biodefense ,Digestive Diseases ,Cystic Fibrosis ,Rare Diseases ,Infectious Diseases ,2.2 Factors relating to the physical environment ,2.1 Biological and endogenous factors ,Infection ,Animals ,Mice ,Salmonella typhimurium ,Cystic Fibrosis Transmembrane Conductance Regulator ,Escherichia coli ,Intestinal Mucosa ,Chemotaxis ,Cecum ,Mice ,Inbred C57BL ,Female ,Disease Models ,Animal ,Humans ,Medical Microbiology - Abstract
Salmonella translocate to the gut epithelium via microfold cells lining the follicle-associated epithelium (FAE). How Salmonella localize to the FAE is not well characterized. Here we use live imaging and competitive assays between wild-type and chemotaxis-deficient mutants to show that Salmonella enterica serotype Typhimurium (S. Typhimurium) localize to the FAE independently of chemotaxis in an ex vivo mouse caecum infection model. Electrical recordings revealed polarized FAE with sustained outward current and small transepithelial potential, while the surrounding villus is depolarized with inward current and large transepithelial potential. The distinct electrical potentials attracted S. Typhimurium to the FAE while Escherichia coli (E. coli) localized to the villi, through a process called galvanotaxis. Chloride flux involving the cystic fibrosis transmembrane conductance regulator (CFTR) generated the ionic currents around the FAE. Pharmacological inhibition of CFTR decreased S. Typhimurium FAE localization but increased E. coli recruitment. Altogether, our findings demonstrate that bioelectric cues contribute to S. Typhimurium targeting of specific gut epithelial locations, with potential implications for other enteric bacterial infections.
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- 2024
27. A new approach to inverse Sturm-Liouville problems based on point interaction
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Zhao, Min, Qi, Jiangang, and Chen, Xiao
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Mathematics - Spectral Theory ,Mathematics - Classical Analysis and ODEs ,Primary 34A55, Secondary 34B24, 34A06, 34B09, 81Q15 - Abstract
In the present paper, motivated by point interaction, we propose a new and explicit approach to inverse Sturm-Liouville eigenvalue problems under Dirichlet boundary. More precisely, when a given Sturm-Liouville eigenvalue problem with the unknown integrable potential interacts with $\delta$-function potentials, we obtain a family of perturbation problems, called point interaction models in quantum mechanics. Then, only depending on the first eigenvalues of these perturbed problems, we define and study the first eigenvalue function, by which the desired potential can be expressed explicitly and uniquely. As by-products, using the analytic function theoretic tools, we also generalize several fundamental theorems of classical Sturm-Liouville problems to measure differential equations., Comment: 23 pages
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- 2024
28. Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
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Zhao, Min, Zhu, Hongzhou, Xiang, Chendong, Zheng, Kaiwen, Li, Chongxuan, and Zhu, Jun
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Diffusion models have obtained substantial progress in image-to-video generation. However, in this paper, we find that these models tend to generate videos with less motion than expected. We attribute this to the issue called conditional image leakage, where the image-to-video diffusion models (I2V-DMs) tend to over-rely on the conditional image at large time steps. We further address this challenge from both inference and training aspects. First, we propose to start the generation process from an earlier time step to avoid the unreliable large-time steps of I2V-DMs, as well as an initial noise distribution with optimal analytic expressions (Analytic-Init) by minimizing the KL divergence between it and the actual marginal distribution to bridge the training-inference gap. Second, we design a time-dependent noise distribution (TimeNoise) for the conditional image during training, applying higher noise levels at larger time steps to disrupt it and reduce the model's dependency on it. We validate these general strategies on various I2V-DMs on our collected open-domain image benchmark and the UCF101 dataset. Extensive results show that our methods outperform baselines by producing higher motion scores with lower errors while maintaining image alignment and temporal consistency, thereby yielding superior overall performance and enabling more accurate motion control. The project page: \url{https://cond-image-leak.github.io/}., Comment: NeurIPS 2024. Project page: https://cond-image-leak.github.io/
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- 2024
29. Harnessing spontaneous emission of correlated photon pairs from ladder-type giant atoms
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Gao, Zhao-Min, Li, Jia-Qi, Wu, Ying-Huan, Liu, Wen-Xiao, and Wang, Xin
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Quantum Physics - Abstract
The realization of correlated multi-photon processes usually depends on the interaction between nonlinear media and atoms. However, the nonlinearity of optical materials is generally weak, making it still very challenging to achieve correlated multi-photon dynamics at the few-photon level. Meanwhile, giant atoms, with their capability for multi-point coupling, which is a novel paradigm in quantum optics, mostly focus on the single photon field. In this work, using the method described in Phys. Rev. Res. 6. 013279 (2024), we reveal that the ladder-type three-level giant atom spontaneously emits strongly correlated photon pairs with high efficiency by designing and optimizing the target function. In addition, by encoding local phases into the optimal coupling sequence, directional two-photon correlated transfer can be achieved. This method does not require a nonlinear waveguide and can be realized in the conventional environment. We show that the photon pairs emitted in both the bidirectional and the chiral case exhibit strong correlation properties in both time and space. Such correlated photon pairs have great potential applications for quantum information processing. For example, numerical results show that our proposal can realize the two-photon mediated cascaded quantum system., Comment: 12 pages; 10 figures
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- 2024
30. CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
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Sheng, Hualian, Cai, Sijia, Zhao, Na, Deng, Bing, Liang, Qiao, Zhao, Min-Jian, and Ye, Jieping
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Computer Science - Computer Vision and Pattern Recognition - Abstract
The field of 3D object detection from point clouds is rapidly advancing in computer vision, aiming to accurately and efficiently detect and localize objects in three-dimensional space. Current 3D detectors commonly fall short in terms of flexibility and scalability, with ample room for advancements in performance. In this paper, our objective is to address these limitations by introducing two frameworks for 3D object detection with minimal hand-crafted design. Firstly, we propose CT3D, which sequentially performs raw-point-based embedding, a standard Transformer encoder, and a channel-wise decoder for point features within each proposal. Secondly, we present an enhanced network called CT3D++, which incorporates geometric and semantic fusion-based embedding to extract more valuable and comprehensive proposal-aware information. Additionally, CT3D ++ utilizes a point-to-key bidirectional encoder for more efficient feature encoding with reduced computational cost. By replacing the corresponding components of CT3D with these novel modules, CT3D++ achieves state-of-the-art performance on both the KITTI dataset and the large-scale Way\-mo Open Dataset. The source code for our frameworks will be made accessible at https://github.com/hlsheng1/CT3D-plusplus., Comment: 19 pages, 8 figures
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- 2024
31. Power Domination in the Generalized Petersen Graphs
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Zhao Min, Shan Erfang, and Kang Liying
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power domination ,domination ,generalized petersen graph ,electric power system ,05c69 ,05c90 ,Mathematics ,QA1-939 - Abstract
The problem of monitoring an electric power system by placing as few measurement devices in the system can be formulated as a power dominating set problem in graph theory. The power domination number of a graph is the minimum cardinality of a power dominating set. Xu and Kang [On the power domination number of the generalized Petersen graphs, J. Comb. Optim. 22 (2011) 282–291] study the exact power domination number for the generalized Petersen graph P (3k, k), and propose the following problem: determine the power domination number for the generalized Petersen graph P (4k, k) or P (ck, k). In this paper we give the power domination number for P (4k, k) and present a sharp upper bound on the power domination number for the generalized Petersen graph P (ck, k).
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- 2020
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32. Energy-Efficient Switching ON/OFF Strategies Analysis for Dense Cellular Networks With Partial Conventional Base-Stations
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Zhang Jian, Wu Muqing, and Zhao Min
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Switching strategy ,switching cost ,dense cellular networks ,energy efficiency ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Focusing on the energy efficiency (EE) improving problem in a densely deployed cellular network with partial conventional base stations (BSs) that cannot be frequently switched on/off, this paper jointly optimizes the switching on/off strategy and user association policy with the consideration of quality-of-service (QoS). By applying a modified switching cost model, we formulate the EE improving problem as an energy efficiency maximization problem (EEMP). To solve the EEMP efficiently, we first concentrate on the EEMP with a constant user distribution where switching cost is omitted temporarily, i.e., static- EEMP, and then the EEMP can be settled by using the results of the static-EEMP. After analyzing the hardness of solving the static-EEMP directly, several sub-optimal strategies are proposed for the static-EEMP to optimize the BSs working states and user association policy. With the results obtained from solving the static-EEMP, we propose a QoS First Maximum EE (QFMEE) scheme to solve the EEMP in two steps. In the first step, necessary BSs are switched on when the user distribution changes to ensure user QoS. In the second step, we judge the extra cost and the energy saving caused by the switching off operations to improve the network EE. Simulation results verify the effectiveness of our proposed strategies for static-EEMP and show that QFMEE can improve the network EE and reduce switching cost significantly when the switching cost occupies a considerable proportion in the total energy consumption.
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- 2020
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33. The Clinicopathologic and Prognostic Significance of c-Myc Expression in Hepatocellular Carcinoma: A Meta-Analysis
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Zhao Min, Zhang Xunlei, Chen Haizhen, Zhao Wenjing, Yu Haiyan, Lu Xiaoyun, Zhou Jianyun, Chen Xudong, and Shen Aiguo
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HCC ,c-Myc ,clinical pathology ,prognostic ,meta-analysis ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Background: The incidence and mortality rates of hepatocellular carcinoma (HCC) are increasing worldwide. Therefore, there is an urgent need to elucidate the molecular drivers of HCC for potential early diagnosis and individualized treatment. Whether c-Myc expression plays a role in the clinicopathology and prognosis of patients with HCC remains controversial. This meta-analysis aimed to survey the prognostic role of c-Myc in HCC.Methods: We searched PubMed, Cochrane Library, Embase, Web of Science, and Google Scholar databases for studies published through March 2020 that examined the association between c-Myc expression and clinicopathology or prognosis in HCC patients. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to investigate the prognostic significance of c-Myc expression. Odds ratios were calculated to evaluate the association between c-Myc expression and clinicopathologic features. We also tested for publication bias.Results: Our meta-analysis included nine studies with 981 patients with HCC published between 1999 and 2016. A meta-analysis of these studies demonstrated that high c-Myc expression indicated a poor overall survival (OS) (HR = 2.260, 95% CI: 1.660–3.080, and p < 0.001) and disease-free survival (DFS) (HR = 1.770, 95% CI: 1.430–2.450, and p < 0.001) in patients with HCC. However, high c-Myc expression was not associated with HBsAg, pathological type, TNM stage, or cirrhosis. We did not find any significant publication bias among the included studies, indicating that our estimates were robust and reliable.Conclusion: c-Myc overexpression could predict poor OS and DFS in HCC patients. c-Myc could be a useful prognostic biomarker and therapeutic target for HCC.
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- 2021
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34. A Magnetic Resonance-Fluorescent Dual-Mode Imaging Probe for Stem Cell Tracking
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ZHAO Min-min, ZHANG Yan-hui, ZHANG Peng-li, TAN Bo, JIANG Hai-zhen, ZHANG Hai-lu, and DENG Zong-wu
- Subjects
magnetic resonance imaging ,fluorescent imaging ,dual-mode probe ,human mesenchymal stem cell ,Electricity and magnetism ,QC501-766 - Abstract
A magnetic resonance (MR)-fluorescent dual-mode imaging probe was prepared by conjugating guaiazulene to Gd-DOTA, and used to label human mesenchymal stem cells (hMSCs) via electroporation. The probe self-assembled into nanoclusters in the cytoplasm, resulting in a significant reduction in T2-weighted signal intensity that persisted up to 7 days. The fluorescence signal of the probe was observed at 498 nm, and the labelled hMSCs emitted a green fluorescence. The MR-fluorescent dual-mode imaging probe can potentially be used for stem cell tracking in vivo.
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- 2019
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35. Human Action Recognition Using Multilevel Depth Motion Maps
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Xu Weiyao, Wu Muqing, Zhao Min, Liu Yifeng, Lv Bo, and Xia Ting
- Subjects
Human action recognition ,depth image ,ELM classifier ,fisher kernel ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
The advent of depth sensors opens up new opportunities for human action recognition by providing depth information. The main purpose of this paper is to present an effective method for human action recognition from depth images. A multilevel frame select sampling (MFSS) method are proposed to generate three levels of temporal samples from the input depth sequences first. Then, the proposed motion and static mapping (MSM) method is used to obtain the representation of MFSS sequences. After that, this paper exploits the block-based LBP feature extraction approach to extract features information from the MSM. Finally, the fisher kernel representation is applied to aggregate the block features, which is then combined with the kernel-based extreme learning machine classifier. The developed framework is evaluated on three public datasets captured by depth cameras. The experimental results demonstrate the great performance compared with the existing approaches.
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- 2019
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36. Joint Computation Offloading and Resource Allocation in C-RAN With MEC Based on Spectrum Efficiency
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Zhang Jian, Wu Muqing, and Zhao Min
- Subjects
Offloading strategy ,resource allocation ,cloud radio access network ,mobile edge computing ,spectrum efficiency ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
The cloud radio access network (C-RAN) with mobile edge computing (MEC) structure which consists of a baseband unit (BBU) pool integrating with an MEC server and several remote radio heads (RRHs) beside the mobile terminals can help users with computational resource-intensive tasks and bring extra profits to network operator at the same time. This paper presents a novel task-aware C-RAN with MEC structure and formulates a profit maximization problem by jointly optimizing offloading strategy, radio and computational resources allocation under the constraints of offloading latency, fronthaul capacity along with limited bandwidth and computational resource. To solve this NP-hard optimization problem in a distributed and efficient way, we propose a spectrum efficiency (SE)-based joint optimization for offloading and resource allocation (SJOORA) scheme which decomposes the original problem into two sub-problems. A SE-based offloading strategy is proposed with confirmed resource allocation, and on the other hand, bandwidth and computational resource allocation problem is solved by using a Lagrangian multiplier method with predetermined offloading strategy. Finally, by solving these two sub-problems iteratively, a suboptimal solution is obtained for the original problem. The simulation results show that the proposed SJOORA scheme can effectively increase the profit of network operator with relative lower complexity.
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- 2019
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37. PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control
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Zhong, Yong, Zhao, Min, You, Zebin, Yu, Xiaofeng, Zhang, Changwang, and Li, Chongxuan
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
In this paper, we introduce PoseCrafter, a one-shot method for personalized video generation following the control of flexible poses. Built upon Stable Diffusion and ControlNet, we carefully design an inference process to produce high-quality videos without the corresponding ground-truth frames. First, we select an appropriate reference frame from the training video and invert it to initialize all latent variables for generation. Then, we insert the corresponding training pose into the target pose sequences to enhance faithfulness through a trained temporal attention module. Furthermore, to alleviate the face and hand degradation resulting from discrepancies between poses of training videos and inference poses, we implement simple latent editing through an affine transformation matrix involving facial and hand landmarks. Extensive experiments on several datasets demonstrate that PoseCrafter achieves superior results to baselines pre-trained on a vast collection of videos under 8 commonly used metrics. Besides, PoseCrafter can follow poses from different individuals or artificial edits and simultaneously retain the human identity in an open-domain training video. Our project page is available at https://ml-gsai.github.io/PoseCrafter-demo/.
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- 2024
38. Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
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Bao, Fan, Xiang, Chendong, Yue, Gang, He, Guande, Zhu, Hongzhou, Zheng, Kaiwen, Zhao, Min, Liu, Shilong, Wang, Yaole, and Zhu, Jun
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation. Vidu is a diffusion model with U-ViT as its backbone, which unlocks the scalability and the capability for handling long videos. Vidu exhibits strong coherence and dynamism, and is capable of generating both realistic and imaginative videos, as well as understanding some professional photography techniques, on par with Sora -- the most powerful reported text-to-video generator. Finally, we perform initial experiments on other controllable video generation, including canny-to-video generation, video prediction and subject-driven generation, which demonstrate promising results., Comment: Project page at https://www.shengshu-ai.com/vidu
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- 2024
39. Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP
- Author
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Xu, Wenkang, Liu, An, and Zhao, Min-jian
- Subjects
Electrical Engineering and Systems Science - Signal Processing - Abstract
We investigate a joint visibility region (VR) detection and channel estimation problem in extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field propagation and spatial non-stationary effects exist. In this case, each scatterer can only see a subset of antennas, i.e., it has a certain VR over the antennas. Because of the spatial correlation among adjacent sub-arrays, VR of scatterers exhibits a two-dimensional (2D) clustered sparsity. We design a 2D Markov prior model to capture such a structured sparsity. Based on this, a novel alternating maximum a posteriori (MAP) framework is developed for high-accuracy VR detection and channel estimation. The alternating MAP framework consists of three basic modules: a channel estimation module, a VR detection module, and a grid update module. Specifically, the first module is a low-complexity inverse-free variational Bayesian inference (IF-VBI) algorithm that avoids the matrix inverse via minimizing a relaxed Kullback-Leibler (KL) divergence. The second module is a structured expectation propagation (EP) algorithm which has the ability to deal with complicated prior information. And the third module refines polar-domain grid parameters via gradient ascent. Simulations demonstrate the superiority of the proposed algorithm in both VR detection and channel estimation., Comment: 13 pages, 14 figures, submitted to IEEE TSP
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- 2024
40. CSI Transfer From Sub-6G to mmWave: Reduced-Overhead Multi-User Hybrid Beamforming
- Author
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Deng, Weicao, Li, Min, Zhao, Ming-Min, Zhao, Min-Jian, and Simeone, Osvaldo
- Subjects
Computer Science - Information Theory ,Electrical Engineering and Systems Science - Signal Processing - Abstract
Hybrid beamforming is vital in modern wireless systems, especially for massive MIMO and millimeter-wave deployments, offering efficient directional transmission with reduced hardware complexity. However, effective beamforming in multi-user scenarios relies heavily on accurate channel state information, the acquisition of which often incurs excessive pilot overhead, degrading system performance. To address this and inspired by the spatial congruence between sub-6GHz (sub-6G) and mmWave channels, we propose a Sub-6G information Aided Multi-User Hybrid Beamforming (SA-MUHBF) framework, avoiding excessive use of pilots. SA-MUHBF employs a convolutional neural network to predict mmWave beamspace from sub-6G channel estimate, followed by a novel multi-layer graph neural network for analog beam selection and a linear minimum mean-square error algorithm for digital beamforming. Numerical results demonstrate that SA-MUHBF efficiently predicts the mmWave beamspace representation and achieves superior spectrum efficiency over state-of-the-art benchmarks. Moreover, SA-MUHBF demonstrates robust performance across varied sub-6G system configurations and exhibits strong generalization to unseen scenarios., Comment: 13 pages, 12 figures, submitted
- Published
- 2024
41. Analysis of big data job requirements based on K-means text clustering in China
- Author
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Dai Debao, Ma Yinxia, and Zhao Min
- Subjects
Medicine ,Science - Abstract
This paper aims to understand the characteristics of domestic big data jobs requirements through k-means text clustering, help enterprises, and employees to identify big data talents, and promote the further development of big data-related research. Firstly, the crawler software is used to crawl the recruitment information about "big data" on the zhaopin.com recruitment website. Then, Jieba word segmentation and K-means text clustering are used to cluster big data recruitment positions, and the number of clustering was determined by the average sum of squares within the group. Finally, big data jobs are divided into 10 categories, and the urban distribution, salary level, education requirements, and experience requirements of big data jobs are discussed and analyzed from the perspectives of the overall data set and clustering results, to clarify the characteristics of big data job demands. The analysis results show that the job demands of big data are mainly distributed in first-tier cities and new first-tier cities. Enterprises are more inclined to job seekers with a college degree or bachelor’s degree and more than one year’s relevant experience. There are wage differences among different types of jobs. The higher the position, the higher the requirement for education and experience will be.
- Published
- 2021
42. Toxicokinetics, in vivo metabolic profiling and tissue distribution of chlorfenapyr in mice
- Author
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Zhang, Shunjie, wang, Xin, yang, Xia, Ma, Ziyang, Liu, Peng, Tang, Shiyuan, Zhao, Min, Chen, Haijun, Qiu, Qiang, Tang, Minghai, Peng, Aihua, and Cao, Yu
- Published
- 2024
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43. Characterization of Polymer Aging: A Review
- Author
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Liu, Xuan, Yang, Rui, Xu, Zhi-Ping, Ye, Yan, Tang, Guo-Shuo, Zhao, Min, Zhang, Qian, and Meng, Xiang-Ze
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- 2024
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44. Negative permittivity of reduced graphene oxide/polyvinylidene fluoride membranous composites adjusted by heat treatment
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Sun, Kai, Zhao, Min-Hui, Yang, Peng-Tao, Chen, Min, Hou, Qing, Duan, Wen-Xin, and Fan, Run-Hua
- Published
- 2024
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45. Mapping cellular interactions from spatially resolved transcriptomics data
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Zhu, James, Wang, Yunguan, Chang, Woo Yong, Malewska, Alicia, Napolitano, Fabiana, Gahan, Jeffrey C., Unni, Nisha, Zhao, Min, Yuan, Rongqing, Wu, Fangjiang, Yue, Lauren, Guo, Lei, Zhao, Zhuo, Chen, Danny Z., Hannan, Raquibul, Zhang, Siyuan, Xiao, Guanghua, Mu, Ping, Hanker, Ariella B., Strand, Douglas, Arteaga, Carlos L., Desai, Neil, Wang, Xinlei, Xie, Yang, and Wang, Tao
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- 2024
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46. What factors are influencing peri-urban forest carbon storage in different land use types based on permanent plots from 2009–2018
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Wei, Yanyan, Zhao, Min, and Gao, Jun
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- 2024
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47. Treatment-related pneumonitis after thoracic radiotherapy/chemoradiotherapy combined with anti-PD-1 monoclonal antibodies in advanced esophageal squamous cell carcinoma
- Author
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Lv, Xiaoyan, Wu, Yajing, Li, Qihui, Zheng, Chen, Lin, Qiang, Pang, Qingsong, Zhao, Min, Zhang, Jiandong, and Wang, Jun
- Published
- 2024
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48. Melatonin Ameliorates Abnormal Sleep-Wake Behavior via Facilitating Lipid Metabolism in a Zebrafish Model of Parkinson’s Disease
- Author
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Pang, Meng-Zhu, Li, Han-Xing, Dai, Xue-Qin, Wang, Xiao-Bo, Liu, Jun-Yi, Shen, Yun, Xu, Xing, Zhong, Zhao-Min, Wang, Han, Liu, Chun-Feng, and Wang, Fen
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- 2024
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49. RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation
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Li, Jiajiong, Wang, Chuanxu, Wang, Chenyang, Zhao, Min, and Jiang, Zitai
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- 2024
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50. Soil multifunctionality is associated with soil water content and fungal richness in Robinia pseudoacacia plantations
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Zhao, Min, Liu, Shaohua, Sun, Yarong, and Chen, Yunming
- Published
- 2024
- Full Text
- View/download PDF
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