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Syntheses and properties of associative acrylamide copolymers containing short hydrophobic chains used in a friction reducer for slick-water fracturing

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Petroleum science 2024年第3期21卷 1889-1901页

作者： Ya-Xing Dai Xian-Li Zhang Si-Yuan Liu Feng-Run-Ze Zhang Yi-Xi Zhang Yu-Tong Sang Jing-Xi Zheng Zhao-Sheng Liu Peng Zhang College of Chemistry and Chemical Engineering Chongqing University of Science and TechnologyChongqing401331China College of Ecology and Environment Chongqing Resources and Environmental Protection of UniversityChongqing401331China China China Property project Department of Dezhou Mining Property Service CenterShengli Oilfield Company of SinopecDezhou253000ShandongChina

Two allyldimethylalkyl quaternary ammonium salt(AQAS)monomers,N,N-dimethylallylphenylpropylammonium bromide(AQAS1)and N,N-dimethylallylnonylammonium bromide(AQAS2),were synthesized and used to prepare modified polyacrylamide *** new drag reducers were synthesized from acrylamide(AM),sodium acrylate(Na AA)and a cationic modified monomer(AQAS1 or AQAS2)via aqueous solution polymerization,and the copolymers were named P(AM/Na AA/AQAS1)and P(AM/Na AA/AQAS2),*** structures of the drag reduction agents were confirmed by IR and1H NMR *** molecular weight(Mw)of P(AM/Na AA/AQAS1)was 1.79×10^(6)g/*** the copolymer concentration was 1000 mg/L and the flow rate was 45 L/min,in fresh water the highest drag reduction rate was 75.8%,in 10,000 mg/L Na Cl solution the drag reduction rate decreased to 72.9%.The molecular weight of P(AM/Na AA/AQAS2)was 3.17×10^(6)g/*** the copolymer concentration was500 mg/L and the flow rate was 45 L/min,the drag reduction rate reached 75.2%,and in 10,000 mg/L Na Cl solution the drag reduction rate was 73.3%,decreased by approximately 1.9%.The drag reduction rate for partially hydrolyzed polyacrylamide(HPAM)was also investigated,and the results showed that the drag reduction rates for 500 and 1000 mg/L HPAM solutions were merely 43.2%and 49.0%in brine,*** with HPAM,both of the above copolymers presented better drag reduction capacities.

关键词： Shale gas Slick water Drag reducer Modified monomer Copolymerization

A Novel Quantization and Model Compression Approach for Hardware Accelerators in Edge Computing

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Computers, Materials & Continua 2024年第8期80卷 3021-3045页

作者： Fangzhou He Ke Ding DingjiangYan Jie Li Jiajun Wang Mingzhe Chen State key Laboratory of Intelligent Vehicle Safety technology Chongqing401133China Foresight technology Institute Chongqing Changan Automobile Co.Ltd.Chongqing400023China School of Computer science and Engineering Chongqing University of Science and TechnologyChongqing401331China

Massive computational complexity and memory requirement of artificial intelligence models impede their deploy-ability on edge computing devices of the Internet of Things(IoT).While Power-of-Two(PoT)quantization is pro-posed to improve the efficiency for edge inference of Deep Neural Networks(DNNs),existing PoT schemes require a huge amount of bit-wise manipulation and have large memory overhead,and their efficiency is bounded by the bottleneck of computation latency and memory *** tackle this challenge,we present an efficient inference approach on the basis of PoT quantization and model *** integer-only scalar PoT quantization(IOS-PoT)is designed jointly with a distribution loss regularizer,wherein the regularizer minimizes quantization errors and training ***,two-stage model compression is developed to effectively reduce memory requirement,and alleviate bandwidth usage in communications of networked heterogenous learning *** product look-up table(P-LUT)inference scheme is leveraged to replace bit-shifting with only indexing and addition operations for achieving low-latency computation and implementing efficient edge ***,comprehensive experiments on Residual Networks(ResNets)and efficient architectures with Canadian Institute for Advanced Research(CIFAR),ImageNet,and Real-world Affective Faces Database(RAF-DB)datasets,indicate that our approach achieves 2×∼10×improvement in the reduction of both weight size and computation cost in comparison to state-of-the-art methods.A P-LUT accelerator prototype is implemented on the Xilinx KV260 Field Programmable Gate Array(FPGA)platform for accelerating convolution operations,with performance results showing that P-LUT reduces memory footprint by 1.45×,achieves more than 3×power efficiency and 2×resource efficiency,compared to the conventional bit-shifting scheme.

关键词： Edge computing model compression hardware accelerator power-of-two quantization

A Hierarchical Modeling Framework for Electrochemical Behaviors in Lithium-Ion Batteries with Detailed Structures

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Energy & Environmental Materials 2024年第5期7卷 81-89页

作者： Binghe Liu Xin Liu Huacui Wang Jie Li Jun Xu College of Mechanical and Vehicle Engineering Chongqing University State key Laboratory of Intelligent Vehicle Safety technology Department of Mechanical Engineering University of Delaware Energy Mechanics and Sustainability Laboratory (EMSLab) University of Delaware

The accurate representation of lithium plating and aging phenomena has posed a persistent challenge within the battery research community. Empirical evidence underscores the pivotal role of cell structure in influencing aging behaviors and lithium plating within lithium-ion batteries (LIBs). Available lithium-ion plating models often falter in detailed description when integrating the structural intricacies. To address this challenge, this study proposes an innovative hierarchical model that intricately incorporates the layered rolling structure in cells. Notably, our model demonstrates a remarkable capacity to predict the non-uniform distribution of current density and overpotential along the rolling direction of LIBs. Subsequently, we delve into an insightful exploration of the structural factors that influence lithium plating behavior,leveraging the foundation laid by our established model. Furthermore, we easily update the hierarchical model by considering aging factors. This aging model effectively anticipates capacity fatigue and lithium plating tendencies across individual layers of LIBs, all while maintaining computational efficiency.

关键词： aging model battery design hierarchical modeling lithium plating lithium-ion battery

Calcium-chelating peptides from rabbit bone collagen:characterization,identification and mechanism elucidation

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Food science and Human Wellness 2024年第3期13卷 1485-1493页

作者： Fuhuan Yuan Yu Fu Liang Ma Hankun Zhu Yong Yu Xin Feng Yi Sun Hongjie Dai Xin Liu Zhengfang Liu Yuhao Zhang College of Food science Southwest UniversityChongqing 400715China chongqing key Laboratory of Speciality Food Co-Built by Sichuan and chongqing Chongqing 400715China key Laboratory of Luminescence Analysis and Molecular Sensing(Southwest University) Ministry of EducationChongqing 400715China Angel Yeast Co. Ltd.Yichang 443003China

This study aimed to characterize and identify calcium-chelating peptides from rabbit bone collagen and explore the underlying chelating *** peptides and calcium were extracted from rabbit bone by instant ejection steam explosion(ICSE)combined with enzymatic hydrolysis,followed by chelation reaction to prepare rabbit bone peptide-calcium chelate(RBCP-Ca).The chelating sites were further analyzed by liquid chromatography-tandem mass(LC-MS/MS)spectrometry while the chelating mechanism and binding modes were *** structural characterization revealed that RBCP successfully chelated with calcium ***,LC-MS/MS analysis indicated that the binding sites included both acidic amino acids(Asp and Glu)and basic amino acids(Lys and Arg),Interestingly,three binding modes,namely Inter-Linking,Loop-Linking and Mono-Linking were for the first time found,while Inter-Linking mode accounted for the highest proportion(75.1%),suggesting that chelation of calcium ions frequently occurred between two ***,this study provides a theoretical basis for the elucidation of chelation mechanism of calcium-chelating peptides.

关键词： Rabbit bone Collagen peptide Peptide-calcium chelate Chelation mechanism Liquid chromatography-tandem mass(LC-MS/MS)

Exploring reservoir computing:Implementation via double stochastic nanowire networks

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Chinese Physics B 2024年第3期33卷 572-582页

作者：唐健峰夏磊李广隶付军段书凯王丽丹 College of Artificial Intelligence Southwest UniversityChongqing 400715China Brain-inspired Computing & Intelligent Control of chongqing key Laboratory Chongqing 400715China National & Local Joint Engineering Laboratory of Intelligent Transmission and Control technology Chongqing 400715China chongqing Brain science Collaborative Innovation Center Chongqing 400715China key Laboratory of Luminescence Analysis and Molecular Sensing Ministry of EducationSouthwest UniversityChongqing 400715China State key Laboratory of Intelligent Vehicle Safety technology Chongqing 400715China

Neuromorphic computing,inspired by the human brain,uses memristor devices for complex *** studies show that self-organizing random nanowires can implement neuromorphic information processing,enabling data *** paper presents a model based on these nanowire networks,with an improved conductance variation *** suggest using these networks for temporal information processing via a reservoir computing scheme and propose an efficient data encoding method using voltage *** nanowire network layer generates dynamic behaviors for pulse voltages,allowing time series prediction *** experiment uses a double stochastic nanowire network architecture for processing multiple input signals,outperforming traditional reservoir computing in terms of fewer nodes,enriched dynamics and improved prediction *** results confirm the high accuracy of this architecture on multiple real-time series datasets,making neuromorphic nanowire networks promising for physical implementation of reservoir computing.

关键词： double-layer stochastic(DS)nanowire network architecture neuromorphic computation nanowire network reservoir computing time series prediction

Semi-Varying Coefficient Panel Data Model with Technical Indicators Predicts Stock Returns in Financial Market

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Journal of Systems science & Complexity 2024年第4期37卷 1638-1652页

作者： HU Xuemei PAN Ying LI Xiang School of Mathematics and Statistics Chongqing Technology and Business UniversityChongqing 400067China chongqing key Laboratory of Social Economy and Applied Statistics Chongqing 400067China Research Center for Economy of Upper Reaches of the Yangtse River Chongqing Technology and Business UniversityChongqing 400067China

Accurately predicting stock returns is a conundrum in financial *** this conundrum can bring huge economic benefits for investors and also attract the attention of all circles of *** this paper the authors combine semi-varying coefficient model with technical analysis and statistical learning,and propose semi-varying coefficient panel data model with individual effects to explore the dynamic relations between the stock returns from five companies:CVX,DFS,EMN,LYB,and MET and five technical indicators:CCI,EMV,MOM,ln ATR,ln RSI as well as closing price(ln CP),combine semi-parametric fixed effects estimator,semi-parametric random effects estimator with the testing procedure to distinguish fixed effects(FE) from random effects(RE),and finally apply the estimated dynamic relations and the testing set to predict stock returns in December 2020 for the five *** proposed method can accommodate the varying relationship and the interactive relationship between the different technical indicators,and further enhance the prediction accuracy to stock returns.

关键词： Fixed effects random effects semi-varying coefficient panel data model stock returns technical indicators

The Traf2 and NcK interacting kinase inhibitor NCB-0846 suppresses seizure activity involving the decrease of GRIA1

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Genes & Diseases 2024年第3期11卷 452-467页

作者： Min Wang Yixue Gu Qiubo Li Bangzhe Feng Xinke Lv Hao Zhang Qingxia Kong Zhifang Dong Xin Tian Yanke Zhang Department of Neurology Affiliated Hospital of Jining Medical UniversityJiningShandong 272000China Department of Neurology The First Affiliated Hospital of Chongqing Medical UniversityChongqing Key Laboratory of NeurologyChongqing 400016China Department of Pediatrics Affiliated Hospital of Jining Medical UniversityJiningShandong 272000China Department of Neurosurgery Affliated Hospital of Jining Medical UniversityJiningShandong 272000China Pediatric Research Institute Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory DisordersChildren's Hospital of Chongqing Medical UniversityChongqing 400014China Center for Excellence in Brain science and Intelligence technology Chinese Academy of SciencesShanghai 200031China

Epilepsy,one of the most common neurological disorders,is characterized by spon-taneous recurrent *** lobe epilepsy(TLE)is one of the most common medically intractable seizure ***2-and NcK-interacting kinase(TNIK)has recently attracted attention as a critical modulation target of many neurological and psychiatric disorders,but its role in epilepsy remains *** this study,we hypothesized the involvement of TNIK in epilepsy and investigated TNIK expression in patients with intractable TLE and in a pilocarpineinduced rat model of epilepsy by western blotting,immunofluorescence,and immunohistochemistry.A pentylenetetrazole(PTZ)-induced epilepsy rat model was used to determine the effect of the TNIK inhibitor NCB-0846 on behavioral manifestations of ***(Co-IP)/mass spectrometry(MS)was used to identify the potential *** Co-IP,we detected and confirmed the main potential TNIK *** fractionation was used to establish the effect of NCB-0846 on the expression of the main interactors in postsynaptic density(PSD)*** found that TNIK was primarily located in neurons and decreased significantly in epilepsy model rats and TLE patients compared with ***-0846 delayed kindling progression and decreased seizure ***-IP/MS identified 63 candidate TNIK interactors in rat hippocampi,notably ***-IP showed that TNIK might correlate with endogenous GRIA1,SYN2,PSD-95,CaMKIV,GABRG1,and *** addition,the significant decrease in GRIA1 in hippocampal total lysate and PSDs after NCB-0846 treatment might help modify the progression of PTZ *** results suggest that TNIK contributes to epileptic pathology and is a potential antiepileptic drug target.

关键词： Epilepsy NCB-0846 Rat TLE TNIK Traf2-and NcK-interacting kinase

Maclaurin Symmetric Mean Aggregation Operators and Their Application to Hesitant Q-Rung Orthopair Fuzzy Multiple Attribute Decision Making

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Journal of Systems science and Information 2024年第4期12卷 515-542页

作者： Qian YU Xudong LI Jun CAO Fangsu ZHAO Longxiao LI Ling TAN School of Business and Administration Chongqing University of Science&TechnologyChongqing 401331China School of Economics and Management Chongqing Jiaotong UniversityChongqing 400074China

The Maclaurin symmetric mean(MSM)operator exhibits a desirable characteristic by effectively capturing the correlations among multiple input parameters,and it serves as an extension of certain existing aggregation operators through adjustments to the parameter *** hesitant q-rung orthopair set(Hq-ROFSs)can serve as an extension of the existing orthopair fuzzy sets,which provides decision makers more freedom in describing their true *** objective of this paper is to present an MSM operator to aggregate hesitant q-rung orthopair numbers and solve the multiple attribute decision making(MADM)problems in which the attribute values take the form of hesitant q-rung orthopair fuzzy sets(H-qROFSs).Firstly,the definition of H-qROFSs and some operational laws of H-qROFSs are *** we develop a family of hesitant q-rung orthopair fuzzy maclaurin symmetric mean aggregation operators,such as the hesitant q-rung orthopair fuzzy maclaurin symmetric mean(Hq-ROFMSM)operator,the hesitant q-rung orthopair fuzzy weighted maclaurin symmetric mean(Hq-ROFWMSM)operator,the hesitant q-rung orthopair fuzzy dual maclaurin symmetric mean(Hq-ROFDMSM)operator,the hesitant q-rung orthopair fuzzy weighted dual maclaurin symmetric mean(Hq-ROFWDMSM)*** the properties and special cases of these proposed operators are ***,an approach based on the Hq-ROFWMSM operator is proposed for multiple attribute decision making problems under hesitant q-rung orthopair fuzzy ***,a numerical example and comparative analysis is given to illustrate the application of the proposed approach.

关键词： hesitant q-rung orthopair fuzzy sets multiple attribute decision making Maclaurin symmetric mean operator hesitant q-rung orthopair fuzzy weighted dual MSM(Hq-ROFWDMSM)operator hesitant q-rung orthopair fuzzy weighted MSM(Hq-ROFWMSM)operator

Insight into Lithium–sulfur batteries performance enhancement: from metal nanoparticles to metal nanoclusters to single metal atoms

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Tungsten 2024年第3期6卷 504-521页

作者： Shuang Ma Qing-Ling Ruan Xue-Cheng Liu Gui-Jun Zhu Die Yuan Ling-Qiao Hu Yu-Mei Huang Xing-Xing Gu chongqing key Laboratory of Catalysis and New Environmental Materials College of Environment and Resources Chongqing Technology and Business University National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University

Lithium-sulfur(Li-S) batteries have attracted much attention and developed rapidly in recent years due to their high energy density,low cost,and ***,its commercialization process still encounters various *** them,the sulfur cathode is easy to dissolve and shuttle,resulting in the loss of active substances and the severe growth of lithium anode dendrites,which is one of the biggest *** the redox conversion kinetics of sulfur cathode is expected to fundamentally alleviate the shuttle phenomenon of poly ***,this paper reviews the effects of metal nanoparticles to metal nanoclusters to metal single-atom catalysts on improving the redox of Li-S batteries,to let researchers better understand the size effect on the kinetics of sulfur cathodes in Li-S batteries,which will provide important guidance for the future large-scale commercialization of Li-S batteries.

关键词： Lithium–sulfur batteries Metal nanoparticles Metal nanoclusters Metal single atoms Size effects