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Risk prevention of different forms of gestational diabetes mellitus based on energy metabolism prior to diagnosis

TECHNOLOGY AND HEALTH CARE 2022年第1_suppl期30卷 S285-S292页

作者： Lu, Jiayu Jiang, Hongqing Zhang, Song Yang, Yimin Hao, Dongmei Li, xuwen chen, Aiqing Shao, Jing Liu, Xiaohong Yang, Lin Beijing Univ Technol Fac Environm & Life Sci Beijing Int Base Sci & Technol Cooperat Intelligent Physiol Measurement & Clin Translat Beijing Peoples R China Haidian Maternal & Children Hlth Hosp Beijing Peoples R China Beijing Yes Med Devices Co Ltd Beijing Peoples R China

BACKGROUND: Gestational diabetes mellitus (GDM) is a metabolic disease that seriously endangers the health of mothers and children. It is important to monitor GDM in real-time before diagnosis and to prevent it effectively. OBJECTIVE: GDM was divided into the second trimester diagnosed diabetes mellitus (GDM_24) and the third trimester diagnosed diabetes mellitus (GDM_30). The risk prediction of two types of GDM was performed in normal pregnant women at 11-13 and 16-19 weeks of pregnancy, respectively. METHODS: By stages, the K-W test was used to analyze the differences between basic information and energy metabolism factors, and multiple logistic regression was used to analyze the risk of energy metabolism factors and to correct the confounders with significant differences. RESULTS: For the GDM_24 group, each additional unit of oxygen consumption (VO2), carbon dioxide production, and resting energy expenditure (REE) increased the risk by 2.4%, 3.5%, 0.4%, and 2.1%, 2.6%, and 0.3%, respectively, at 11-13 and 16-19 weeks of pregnancy. For the GDM_30 group, each additional unit of VO2 and REE was associated with an increased risk of 2.3% and 0.3%, respectively, at 16-19 weeks of pregnancy. CONCLUSION: The risk of GDM_30 only appeared in pregnant women during 16-19 weeks of pregnancy, which may indicate that GDM_24 and GDM_30 have different pathogenesis.

关键词： Diabetes mellitus in the second trimester diagnosis of diabetes mellitus in the third trimester energy metabolism

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Atomically ordered Rh₂P catalysts anchored within hollow mesoporous carbon for efficient hydrogen production

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CHEMICAL COMMUNICATIONS 2021年第92期57卷 12345-12348页

作者： Guo, xuwen chen, Xin Huang, Yanping Min, Xiaowen Kong, Chuncai Tang, Yawen Liu, Ben Nanjing Normal Univ Jiangsu Collaborat Innovat Ctr Biomed Funct Mat Sch Chem & Mat Sci Jiangsu Key Lab New Power Batteries Nanjing 210023 Peoples R China ME Instruments Inc Huahan Sci & Technol Ind Pk Shenzhen 518118 Peoples R China Sichuan Univ Ctr Engn Expt Teaching Sch Chem Engn Chengdu 610065 Peoples R China Sichuan Univ Coll Chem Key Lab Green Chem & Technol Minist Educ Chengdu 610064 Peoples R China Shaanxi Prov Key Lab Adv Funct Mat & Mesoscop Phy Sch Phys Minist EducKey Lab Nonequilibrium Synth & Modula Xian Jiaotong Univ Xian 710049 Peoples R China

Atomically ordered Rh2P nanoclusters encapsulated within a high-surface-area hollow mesoporous carbon nanoreactor are catalytically active for hydrogen production via the electrocatalytic hydrogen evolution reaction a... 详细信息

关键词： Hydrogen production

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Rep-Mca-Former: An Efficient Multi-Scale Convolution Attention Encoder for Text-Independent Speaker Verification

SSRN

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SSRN 2023年

作者： Liu, Xiaohu chen, Defu Wang, Xianbao Xiang, Sheng Zhou, xuwen Zhejiang University of Technology Information Engineer College Zhejiang Hangzhou310023 China

In many speaker verification tasks, the quality of speaker embedding is an important factor affecting speaker verification systems. Current advanced speaker embedding extraction networks aim to aggregate multi-scale features from discourse through a multi-branch network architecture of speaker representations. Networks based on the transformer encoder improve the performance of speaker verification systems to a higher level by using a multi-head self-attention mechanism to model discourse information globally more efficiently (e.g., MFA-Conformer). However, the large model parameters and computational latency are common problems faced by the above approaches, which make them difficult to apply to resource-constrained edge terminals. To address this issue, this paper proposes an effective lightweight transformer model (MCA-former) with multi-scale convolutional attention (MCA), which can perform multi-scale modeling and channel modeling in the temporal direction of the input with low computational cost. In addition, in the inference phase of the model, we further develop a systematic re-parameterization method to convert the multi-branch network structure into a single-path based topology, which effectively improves the inference speed. We investigate the performance of MCA-former for speaker verification under the VoxCeleb1 test set. The results show that the MCA-based transformer model is more advantageous in terms of number of parameters and inference efficiency, while outperforming the state-of-the-art transformer model on short-duration speaker verification. In addition, the inference speed of the model is improved by 20% using re-parameterization. © 2023, The Authors. All rights reserved.

关键词： Convolution

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Nitrite accumulation stability evaluation for low-strength ammonium wastewater by adsorption and biological desorption of zeolite under different operational temperature

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SCIENCE OF THE TOTAL ENVIRONMENT 2020年 704卷 135260-135260页

作者： chen, Zhenguo Zheng, xuwen chen, Yongxing Wang, Xiaojun Zhang, Lijuan chen, Haochuan South China Univ Technol Sch Chem & Chem Engn Guangzhou 510641 Guangdong Peoples R China South China Univ Technol Sch Environm & Energy Guangzhou 510006 Guangdong Peoples R China Hua An Biotech Co Ltd Foshan 528300 Peoples R China Minist Educ Key Lab Pollut Control & Ecosyst Restorat Ind Clu Guangzhou Guangdong Peoples R China

How to achieve stable nitrite accumulation was still a huge challenge for low-carbon and energy-saving biological nitrogen removal of low-strength ammonium wastewater. This study proposed a new way to solve this problem with zeolite biological fixed bed (ZBFB) by cycle operation of adsorption and biological desorption. In order to evaluate nitritation performance of this reactor, the influence of operational temperature on nitrite accumulation stability was investigated by 126 cycles operation in four parallel ZBFB reactors for low-strength ammonium wastewater (50 mg/L NH4+-N). It was found that higher operational temperature (i.e., 36.0 degrees C), rather than other temperature (i.e., 27.0 degrees C, 30.0 degrees C, 33.0 degrees C), could maintain stable nitrite accumulation with nitrite production rate of 0.312 kg NO2--N.m(-3) ***(-1) and nitrite accumulation ratio higher than 95.0% after biological desorption. High-throughput sequencing analysis results showed that bacterial structure significantly changed in ZBFB under different operational temperature, and obvious enrichment of genus Nitrosomonas (AOB) and gradually enhanced free ammonia (FA) inhibition on genus Nitrospira and Nitrobacter (NOB) were found by elevation of operational temperature, leading to different nitrite accumulation performance in ZBFB reactors. The mechanism for stable nitrite accumulation performance by ZBFB might be attributed to overwhelming growth rate of AOB than NOB, faster ammonium desorption and enhanced FA inhibition on NOB under operational temperature (i.e., 36.0 degrees C). All in all, keeping high temperature for biological desorption step should be extremely crucial for stable nitrite accumulation by ZBFB, which could facilitate further low-carbon and energy-saving biological nitrogen removal for low-strength ammonium wastewater treatment. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Low-strength ammonium Nitritation Zeolite Biofilm Temperature Stability

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A study on genotype x environment interactions for the multiple traits of maize hybrids in China

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AGRONOMY JOURNAL 2021年第6期113卷 4889-4899页

作者： Yue, Haiwang Jiang, xuwen Wei, Jianwei Xie, Junliang chen, Shuping Peng, Haicheng Bu, Junzhou Hebei Acad Agr & Forestry Sci Dryland Farming Inst Hebei Prov Key Lab Crops Drought Resistance Res Hengshui 053000 Hebei Peoples R China Qingdao Agr Univ Maize Res Inst Coll Agron Qingdao 266109 Shandong Peoples R China

The correct interpretation of the adaptability and stability of maize (Zea mays L.) hybrids in different ecological environments is very important for plant breeders. Additive main effect and multiplicative interaction model and genotype main effects and genotype x environment interaction biplot are the two most popular methods in the analysis of genotype x environment interaction in multienvironment trials. We conducted an experiment designed to examine and evaluate the adaptability and stability of four agronomic traits of 19 tested maize genotypes in two consecutive growth cycles across seven provinces including 37 locations using a randomized completely block design with three replicates. The combined ANOVA for all traits showed that the effect of genotype, environment, and genotype x environment interaction were significant at 0.1% probability levels. In order to evaluate multiple agronomic traits more accurately, multitrait stability index (MTSI) as an emerging selection method based on mean performance and stability was adopted. Agronomic trait grain yield (GY) was positively correlated with grain weight per ear and growth period. In addition, it was also found that GY and bar tip length showed obvious negative correlation. The MTSI is very helpful for breeders who hope to select mean performance and stability based on a variety of agronomic traits because it provides a convenient selection process while taking into account the relevant results of the traits.

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Improved Vocal Tract Length Perturbation for Improving Child Speech Emotion Recognition

Improved Vocal Tract Length Perturbation for Improving Child...

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Shenkang Qu Yong Qin xuwen Qin Ziliang Ren Lei chen School of computer science and technology Dongguan University of technology Dongguan China Shenzhen International Exchange College Shenzhen China

Due to the variability of children's acoustic features during growth and the lack of a publicly available corpus of children's speech emotion data, training a robust children's Speech Emotion Recognition(SER) is more challenging than that of adults. We develop in this paper a new SER learning solution for children, which generates a child-like speech spectrum from an adult's speech spectrum based on vocal tract length normalization (VTLN) and vocal tract length perturbation (VTLP). This improved adult spectrum is then used as augmented data to improve the child speech emotion recognition system. To validate the effectiveness of this data augmentation method, we test it in two mainstream SER task networks based on Compact Convolutional Transformers(CCT) and Convolutional Neural Networks(CNN), respectively, and the proposed data augmentation method improves the accuracy and UAR by 0.32% and 0.22%, respectively, on the Fau Aibo children's emotion data corpus compared to the VTLP baseline system when trained with CCT. When trained with CNN, the accuracy and UAR are improved by 0.39% and 0.26%, respectively, compared to the VTLP baseline system.

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Memristive Artificial Synapses for Neuromorphic Computing

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Nano-Micro Letters 2021年第5期13卷 218-245页

作者： Wen Huang xuwen Xia chen Zhu Parker Steichen Weidong Quan Weiwei Mao Jianping Yang Liang Chu Xing’ao Li New Energy Technology Engineering Laboratory of Jiangsu Province and School of Science Nanjing University of Posts and Telecommunications(NJUPT)Nanjing 210023People’s Republic of China Key Laboratory for Organic Electronics and Information Displays and Institute of Advanced Materials Jiangsu National Synergistic Innovation Center for Advanced MaterialsSchool of Materials Science and EngineeringNanjing University of Posts and Telecommunications(NUPT)9 Wenyuan RoadNanjing 210023People’s Republic of China College of Electronic and Optical Engineering and College of Microelectronics Nanjing University of Posts and Telecommunications(NJUPT)Nanjing 210023People’s Republic of China Department of Materials Science and Engineering University of WashingtonSeattleWA 98195‑2120USA

Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann *** computing is realized based on memristive hardware neural networks in which synaptic devices that mimic biological synapses of the brain are the primary *** synaptic functions with these devices is critical in neuromorphic *** the last decade,electrical and optical signals have been incorporated into the synaptic devices and promoted the simulation of various synaptic *** this review,these devices are discussed by categorizing them into electrically stimulated,optically stimulated,and photoelectric synergetic synaptic devices based on stimulation of electrical and optical *** working mechanisms of the devices are analyzed in *** is followed by a discussion of the progress in mimicking synaptic *** addition,existing application scenarios of various synaptic devices are ***,the performances and future development of the synaptic devices that could be significant for building efficient neuromorphic systems are prospected.

关键词： Synaptic devices Neuromorphic computing Electrical pulses Optical pulses Photoelectric synergetic effects

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Multimodal Sentiment Analysis Missing Modality Reconstruction Network Based on Shared-Specific Features

Multimodal Sentiment Analysis Missing Modality Reconstructio...

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Yu Guo Yong Qin xuwen Qin Ziliang Ren Lei chen School of computer science and technology Dongguan University of Technology Dongguan China Grade A1 Shenzhen International Exchange College Shenzhen China

In multimodal sentiment analysis, heterogeneity between modalities makes inconsistent modal distributions a challenge. Especially in the case of incomplete features of certain modalities, the differences between modalities may interfere with the accurate prediction of sentiment categories. To address this problem, this paper proposes a missing modal reconstruction network (SSF-MMRN) for multimodal sentiment analysis based on sharing specific features. Firstly, a CMD distance-constrained training strategy is used to learn inter-modal consistency features. Second, based on the consistency features, a reconstruction module is proposed to generate missing modal features, check the semantic consistency of the recovered modalities with the original available modalities, and introduce inconsistencies into multiple models for better decision-making once they exist. Extensive experiments on the IEMOCAP benchmark dataset show that our proposed model effectively mitigates the modality gap during missing modality prediction and significantly improves the emotion recognition performance.

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SLC24A5 plays fundamental roles in regulating melanophore development in Cyprinidae fish

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Reproduction and Breeding 2021年第3期1卷 167-173页

作者： Yu, Luwei chen, Honglin Hu, xuwen chen, Xiaowen Liu, Zhiwei Wang, Jun Wang, chenghui Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture Shanghai 201306 China National Demonstration Center for Experimental Fishiers Science Education Shanghai 201306 China Shanghai Engineering Research Center of Aquaculture Shanghai Ocean University Shanghai 201306 China

The mechanism of color pattern formation in animals is complicated. Oujiang color common carp (Cyprinus carpio var. color) is an excellent fish model for studying the molecular mechanism of pigmentation. Solute carrier family 24 member 5 (SLC24A5) was identified as a key gene in regulating melanophore development and melanin distribution in organisms. In this study, functional experiments were conducted on the SLC24A5 gene in Oujiang color common carp. The full-length of SLC24A5 mRNA was cloned and obtained. In Oujiang color common carp, qRT-PCR and whole-mount in situ hybridization indicated that SLC24A5 was highly expressed in tissues in the presence of melanin and initiated its expression along with the presence of melanin during embryo development. The SLC24A5 knocked-out via CRISPR/cas9 caused an obvious loss of melanophore in larva and adult zebrafish. In addition, the homozygous SLC24A5^−/− zebrafish mutant phenotype was rescued by the over expression of the SLC24A5 from Oujiang color common carp. Results suggested that SLC24A5 is essential for regulating melanophore development and that the functional and structures of SLC24A5 are conserved in Cyprinidae fish. © 2021 The Authors

关键词： Cyprinidae fish Melanophore Pigmentation SLC24A5 Zebrafish

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Hydrogels for the removal of the methylene blue dye from wastewater: a review

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ENVIRONMENTAL CHEMISTRY LETTERS 2022年第4期20卷 2665-2685页

作者： Yang, Yinchuan Zhu, Qinlin Peng, xuwen Sun, Jingjing Li, Cong Zhang, Xinmiao Zhang, Hao chen, Jiabin Zhou, Xuefei Zeng, Hongbo Zhang, Yalei Tongji Univ Coll Environm Sci & Engn State Key Lab Pollut Control & Resources Reuse Shanghai 200092 Peoples R China Tongji Univ Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G IH9 Canada Univ Shanghai Sci & Technol Coll Environm & Architecture Shanghai 200093 Peoples R China Sinopec Beijing Res Inst Chem Ind Environm Protect Res Inst Beijing 100013 Peoples R China

Water pollution is a major environmental issue with the rapid development of industry. Therefore, advanced technologies and materials are needed to remove pollutants from contaminated waters. The adsorption process displays many advantages such as high adaptability and removal efficiency for water sources of varying quality. Hydrogels have recently attracted attention due to their high adsorption capacity and structural stability, yet several issues remain to be explored, such as the number of reuse and engineering applications. Here, we review hydrogels for the removal of methylene blue from wastewater, with focus on hydrogel preparation and properties, adsorption performance and mechanisms, reusability and comparison with biological and chemical oxidation methods.

关键词： Hydrogel Methylene blue Adsorption Dye Wastewater treatment

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