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Antimony transformation and mobilization from stibnite by an antimonite oxidizing bacterium Bosea sp. AS-1

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Journal of Environmental Sciences 2022年第1期34卷 273-281页

作者： Li Xiang Chaoyang Liu Deng Liu Liyuan Ma Xuan Qiu Hongmei Wang xiaolu lu School of Environmental Studies China University of Geosciences(Wuhan)Wuhan 430074China State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences(Wuhan)Wuhan 430074China

Soils and waters are heavily contaminated by antimony in Xikuangshan(XKS)mine *** is widely accepted that oxidative dissolution of sulfide minerals and aqueous dissolution are the most prevalent geochemical mechanisms for the release of Sb to the *** ***-1 is an antimonite-oxidizer isolated from the mine slag in Xikuangshan Sb *** genome sequencing revealed the presence of multiple sulfur-oxidizing genes,antimony(Sb)metabolism genes and carbon fixation genes in AS-1 s *** therefore hypothesized that under oxic conditions,AS-1 could mediate the oxidation of sulfide and Sb(Ⅲ)in stibnite(Sb_(2)S_(3))and lead to the release of ***,strain AS-1 was discovered as an autotrophic Sb(Ⅲ)-*** mobilization studies conducted with strain AS-1showed significantly enhanced mobilization of Sb,and complete oxidation of released Sb and sulfur to Sb(V)and *** addition,AS-1 induced a faster release of Sb under heterotrophic condition,and new acicular minerals might *** findings support the hypothesis that microorganisms play an important role in the mobilization and transformation of Sb in XKS mine area and may contribute to our further understanding of the Sb biogeochemical redox cycle in natural environment.

关键词： Antimonite oxidation Bosea sp.AS-1 Stibnite Antimony mobilization Xikuangshan mine area

Modified Pressure Loss Model for T-junctions of Engine Exhaust Manifold

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Chinese Journal of Mechanical Engineering 2014年第6期27卷 1232-1239页

作者： WANG Wenhui lu xiaolu CUI Yi DENG Kangyao Key Laboratory for Power Machinery and Engineering of Ministry of Education Shanghai Jiaotong University

The T-junction model of engine exhaust manifolds significantly influences the simulation precision of the pressure wave and mass flow rate in the intake and exhaust manifolds of diesel engines. Current studies have focused on constant pressure models, constant static pressure models and pressure loss models. However, low model precision is a common disadvantage when simulating engine exhaust manifolds, particularly for turbocharged systems. To study the performance of junction flow, a cold wind tunnel experiment with high velocities at the junction of a diesel exhaust manifold is performed, and the variation in the pressure loss in the T-junction under different flow conditions is obtained. Despite the trend of the calculated total pressure loss coefficient, which is obtained by using the original pressure loss model and is the same as that obtained from the experimental results, large differences exist between the calculated and experimental values. Furthermore, the deviation becomes larger as the flow velocity increases. By improving the Vazsonyi formula considering the flow velocity and introducing the distribution function, a modified pressure loss model is established, which is suitable for a higher velocity range. Then, the new model is adopted to solve one-dimensional, unsteady flow in a D6114 turbocharged diesel engine. The calculated values are compared with the measured data, and the result shows that the simulation accuracy of the pressure wave before the turbine is improved by 4.3% with the modified pressure loss model because gas compressibility is considered when the flow velocities are high. The research results provide valuable information for further junction flow research, particularly the correction of the boundary condition in one-dimensional simulation models.

关键词： T-junction diesel engine pressure loss model total pressure loss coefficient

“专业课+思政”融合育人模式在药理学课程教学改革中的探索与应用

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中国高等医学教育 2024年第5期 137-139页

作者：田原僮郑啓盛卢小路廖芳曾昭毅黄贤华叶和杨赣南医科大学药学院江西赣州341000

围绕以学生为中心的教学理念,将思政元素有机地融入专业课教学当中,形成“专业课+思政”融合育人新模式。该教育模式在加强专业知识和技能培养的同时,注重了对学生世界观、价值观和人生观的培养,不仅有助于提高学生的专业考试成绩,而且... 详细信息

围绕以学生为中心的教学理念,将思政元素有机地融入专业课教学当中,形成“专业课+思政”融合育人新模式。该教育模式在加强专业知识和技能培养的同时,注重了对学生世界观、价值观和人生观的培养,不仅有助于提高学生的专业考试成绩,而且有助于培养学生的课程思政能力,实现全方位育人的教学目标。

关键词：课程思政教育专业课药理学教学改革

The production of enantiopure D-lysine from L-lysine by a two-strain coupled system

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Chinese Journal of Chemical Engineering 2020年第11期28卷 2832-2836页

作者： Sheng Xu xiaolu lu Xin Wang Zhen Gao Kequan Chen Pingkai Ouyang State Key Laboratory of Materials-Oriented Chemical Engineering College of Biotechnology and Pharmaceutical EngineeringNanjing Tech UniversityNanjing 211816China

The microbial production of D-lysine to replace chemical approach has gained great interest with the rising concerns over the ***,we employed recombinant *** strain BL21-LYR with lysine racemase and strain BL-22A-RB-YB with L-lysine monooxygenase and 5-aminovaleramide amidohydrolase to establish a two-strain coupling whole-cell bioconversion system for D-lysine production from *** improve the optical purity of D-lysine,the optimal reaction condition for resolution of DL-lysine after the racemization was *** specificity of BL-22A-RB-YB for L^-lysine and the effects of reaction condition on bioconversion efficiency of whole-cell were accordingly *** the optimal condition,a maximum 53.5 g·L^-1 D-lysine and 48.2 g·L^-15-AVA were obtained with yield of 47.4%and 42.3%,respectively,by the microbial racemization and asymmetric degradation *** final D-lysine enantiomeric excess was over 99%.Meanwhile,a valuable compound 5-aminovaleric acid was synthesized with the production of D-lysine,indicating the economic feasibility of the two-strain coupling system.

关键词： _D-Lysine Microbial resolution Two-strain coupling system

Influence of filler morphology on percolation threshold of isotropical conductive adhesives (ICA)

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Science China(Technological Sciences) 2012年第1期55卷 28-33页

作者： TAO Yu YANG ZhenGuo lu xiaolu TAO GuoLiang XIA YanPing WU HaiPing Department of Materials Science Fudan University Shanghai 200433 China Department of Materials Science and Engineering Changzhou University Changzhou 213614 China

Different aspect ratio silver nano-structured materials including nanocubes,nanorods and nanowires were prepared by micro-waved assisted glycol reduction *** characterization methods including SEM and XRD were processed on these *** conductive adhesives(ICA) were developed by using these Ag nanomaterials as conductive *** was found that the conductivity and thermal conductivity percolation threshold of the ICA depended on the morphologies of the fillers,lower percolation threshold could be obtained by using higher aspect ratio filler.A modified percolation threshold theory was put forward to explain and simulate the experiment results,the simulated results could match the experiment results very well.

关键词：集成通信适配器过滤阀值方面比率模拟

AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2315-2347页

作者： Lirong Yin Lei Wang Siyu lu Ruiyang Wang Haitao Ren Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin xiaolu Li Wenfeng Zheng Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA70803USA School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Computer and Information Sciences King Saud UniversityRiyadh11574Saudi Arabia College of Resource and Environment Engineering Guizhou UniversityGuiyang550025China School of Geographical Sciences Southwest UniversityChongqing400715China

At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalization *** this situation,this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block(AFB)for feature *** module mainly comprises dynamic convolution,attention mechanism,and pixel-based gating *** with dynamic convolution with scale information,the network can extract more differentiated feature *** introduction of a channel spatial attention mechanism combined with multi-feature fusion further enables the network to retain more important feature *** convolution and pixel-based gating mechanisms enhance the module’s ***,a comparative experiment of a super-resolution algorithm based on the AFB module is designed to substantiate the efficiency of the AFB *** results revealed that the network combined with the AFB module has stronger generalization ability and expression ability.

关键词： Super-resolution feature extraction dynamic convolution attention mechanism gate control

DPAL-BERT: A Faster and Lighter Question Answering Model

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CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 2024年第10期141卷 771-786页

作者： Yin, Lirong Wang, Lei Cai, Zhuohang lu, Siyu Wang, Ruiyang Alsanad, Ahmed Alqahtani, Salman A. Chen, Xiaobing Yin, Zhengtong Li, xiaolu Zheng, Wenfeng Louisiana State Univ Dept Geog & Anthropol Baton Rouge LA 70803 USA Univ Elect Sci & Technol China Sch Automat Chengdu 610054 Peoples R China King Saud Univ Coll Comp & Informat Sci Riyadh 11574 Saudi Arabia Louisiana State Univ Sch Elect & Comp Engn Baton Rouge LA 70803 USA Guizhou Univ Coll Resources & Environm Engn Guiyang 550025 Peoples R China Southwest Univ Sch Geog Sci Chongqing 400715 Peoples R China

Recent advancements in natural language processing have given rise to numerous pre-training language models in question-answering systems. However, with the constant evolution of algorithms, data, and computing power, the increasing size and complexity of these models have led to increased training costs and reduced efficiency. This study aims to minimize the inference time of such models while maintaining computational performance. It also proposes a novel Distillation model for PAL-BERT (DPAL-BERT), specifically, employs knowledge distillation, using the PAL-BERT model as the teacher model to train two student models: DPAL-BERT-Bi and DPAL-BERTC. This research enhances the dataset through techniques such as masking, replacement, and n-gram sampling to optimize knowledge transfer. The experimental results showed that the distilled models greatly outperform models trained from scratch. In addition, although the distilled models exhibit a slight decrease in performance compared to PAL-BERT, they significantly reduce inference time to just 0.25% of the original. This demonstrates the effectiveness of the proposed approach in balancing model performance and efficiency.

关键词： DPAL-BERT question answering systems knowledge distillation model compression BERT Bi-directional long short-term memory (BiLSTM) knowledge information transfer PAL-BERT training efficiency natural language processing NETWORK

Convolution-Transformer for Image Feature Extraction

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CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 2024年第1期141卷 87-106页

作者： Yin, Lirong Wang, Lei lu, Siyu Wang, Ruiyang Yang, Youshuai Yang, Bo Liu, Shan Alsanad, Ahmed Alqahtani, Salman A. Yin, Zhengtong Li, xiaolu Chen, Xiaobing Zheng, Wenfeng Louisiana State Univ Dept Geog & Anthropol Baton Rouge LA 70803 USA Univ Elect Sci & Technol China Sch Automat Chengdu 610054 Peoples R China King Saud Univ Coll Comp & Informat Sci Riyadh 11574 Saudi Arabia Guizhou Univ Coll Resources & Environm Engn Key Lab Karst Georesources & Environm Minist Educ Guiyang 550025 Peoples R China Southwest Univ Sch Geog Sci Chongqing 400715 Peoples R China Louisiana State Univ Sch Elect Engn & Comp Sci Baton Rouge LA 70803 USA

This study addresses the limitations of Transformer models in image feature extraction, particularly their lack of inductive bias for visual structures. Compared to Convolutional Neural Networks (CNNs), the Transformers are more sensitive to different hyperparameters of optimizers, which leads to a lack of stability and slow convergence. To tackle these challenges, we propose the Convolution-based Efficient Transformer Image Feature Extraction Network (CEFormer) as an enhancement of the Transformer architecture. Our model incorporates E-Attention, depthwise separable convolution, and dilated convolution to introduce crucial inductive biases, such as translation invariance, locality, and scale invariance, into the Transformer framework. Additionally, we implement a lightweight convolution module to process the input images, resulting in faster convergence and improved stability. This results in an efficient convolution combined Transformer image feature extraction network. Experimental results on the ImageNet1k Top-1 dataset demonstrate that the proposed network achieves better accuracy while maintaining high computational speed. It achieves up to 85.0% accuracy across various model sizes on image classification, outperforming various baseline models. When integrated into the Mask RegionConvolutional Neural Network (R-CNN) framework as a backbone network, CEFormer outperforms other models and achieves the highest mean Average Precision (mAP) scores. This research presents a significant advancement in Transformer-based image feature extraction, balancing performance and computational efficiency.

关键词： Transformer E-Attention depth convolution dilated convolution CEFormer

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网纹甜瓜新品种‘华蜜303’

园艺学报 2022年第S02期49卷 165-166页

作者：蔚玉红卢小露黄昀马英华樊静华田甲玺上海市嘉定区农业技术推广服务中心上海201800 上海市农业技术推广服务中心上海201100

‘华蜜303’是中熟网纹甜瓜杂交一代新品种。果实圆球形,果皮绿色,网纹中粗,易形成,单瓜质量1.5~2.5 kg,果肉淡绿色,肉厚4.3 cm,松软多汁,口感好,中心可溶性固形物含量16.0%~17.5%。全生育期110~115 d,果实发育期50~52 d。平均产量28000... 详细信息

‘华蜜303’是中熟网纹甜瓜杂交一代新品种。果实圆球形,果皮绿色,网纹中粗,易形成,单瓜质量1.5~2.5 kg,果肉淡绿色,肉厚4.3 cm,松软多汁,口感好,中心可溶性固形物含量16.0%~17.5%。全生育期110~115 d,果实发育期50~52 d。平均产量28000~30000 kg·hm^(-2)。适合上海及周边地区春秋保护地栽培。

关键词：网纹甜瓜优质品种