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Treatment duration of wrist-ankle acupuncture for relieving post-thyroidectomy pain:A randomized controlled trial

Journal of Integrative Medicine 2023年第2期21卷 168-175页

作者： Xin-rui Han Wei Yue Hui-chao Chen Wei he jiang-he luo Shan-xia Chen Na Liu Ming Yang Department of Nursing Chengdu Integrated TCM&Western Medicine HospitalSichuan 610041Sichuan ProvinceChina School of Nursing Guangzhou University of Chinese MedicineGuangzhou 510006Guangdong ProvinceChina Department of Nursing Guangdong Provincial Hospital of Traditional Chinese MedicineGuangzhou 510120Guangdong ProvinceChina Department of General Surgery Guangdong Provincial Hospital of Traditional Chinese MedicineGuangzhou 510120Guangdong ProvinceChina Department of Gynecology and Obstetrics Guangzhou Women and Children’s Medical CenterGuangzhou 510120Guangdong ProvinceChina

Background Treatment duration of wrist-ankle acupuncture(WAA)is uncertain for post-thyroidectomy pain relief.Objective This study evaluated the effect of different WAA treatment duration on post-operative pain relief and other discomforts associated with thyroidectomy.Design,setting,participants and intervention This randomized controlled trial was conducted at a single research site in Guangzhou,China.A total of 132 patients receiving thyroidectomy were randomly divided into the control group(sham WAA,30 min)and three intervention groups(group 1:WAA,30 min;group 2:WAA,45 min;group 3:WAA,60 min),with group allocation ratio of 1:1:1:1.Acupuncture was administered within 1 hour of leaving the operating room.Outcomes and measures Primary outcome was patients’pain at the surgical site assessed by visual analogue scale(VAS)at the moment after acupuncture treatment(post-intervention).Secondary outcomes included the patients’pain VAS scores at 6,12,24,48 and 72 h after the thyroidectomy,the 40-item Quality of Recovery(QoR-40)score,the grade of post-operative nausea and vomiting(PONV),and the use of additional analgesic therapy.Results The adjusted mean difference(AMD)in VAS scores from baseline to post-intervention in group 1 was-0.89(95%confidence interval[CI],-1.02 to-0.76).The decrease in VAS score at post-intervention was statistically significant in group 1 compared to the control group(AMD,-0.43;95%CI,-0.58 to-0.28;Phe VAS scores in the four groups converged beyond 24 h after the operation.Fewer patients in group 2 and group 3 experienced PONV in the first 24 h after operation.No statistical differences were measured in QoR-40 score and the number of patients with additional analgesic therapy.Conclusion Compared with the 30 min intervention,WAA treatment with longer needle retention time(45 or 60 min)had an advantage in pain relief within 6 h after su

关键词： Thyroidectomy Thyroid tumor Wrist-ankle acupuncture Post-operative pain Randomized controlled trial

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Enhancing the electrocatalytic performance of nitrate reduction to ammonia by in-situ nitrogen leaching

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Chinese Chemical Letters 2024年第2期35卷 564-569页

作者： Mimi Fu Yini Mao Hua Wang Wei luo Yimin jiang Wei Shen Ming Li Rongxing he College of Chemistry and Chemical Engineering Southwest UniversityChongqing 400715China

Electrochemical nitrate reduction reaction (NITRR) is regarded as a “two birds-one stone” method for the treatment of nitrate contaminant in polluted water and the synthesis of valuable ammonia, which is retarded by the lack of highly reactive and selective electrocatalysts .herein, for the first time, nickel foam supported Co_(4) N was designed as a high-performance NITRR catalyst by an in-situ nonmetal leaching-induced strategy.At the optimal potential, the Co_(4) N/NF catalyst achieves ultra-high Faraday efficiency and NH_(3) selectivity of 95.4% and 99.4%, respectively.Ex situ X-ray absorption spectroscopy (XAS), together with other experiments powerfully reveal that the nitrogen vacancies produced by nitrogen leaching are stable and play a key role in boosting nitrate reduction to ammonia.Theoretical calculations confirm that Co_(4) N with abundant nitrogen vacancies can optimize the adsorption energies of NO_(3)^(-) and intermediates, lower the free energy (Δ G ) of the potential-determining step (*NH_(3) to NH_(3) ) and inhibit the formation of N-containing byproducts.In addition, we also conclude that the nitrogen vacancies can stabilize the adsorbed hydrogen, making H_(2) quite difficult to produce, and lowering ΔG from *NO to *NOH, which facilitates the selective reduction of nitrate.This study reveals significant insights about the in-situ nonmetal leaching to enhance the NITRR activity.

关键词： Co4N Nitrate reduction In-situ nonmetal leaching Nitrogen vacancy Mechanism

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Building Fe atom–cluster composite sites using a site occupation strategy to boost electrochemical oxygen reduction

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Carbon Energy 2024年第3期6卷 276-286页

作者： Tingyi Zhou Yi Guan Changjie he Lei Zhang Xueliang Sun Zhongxin Song Qianling Zhang Chuanxin he Xiantao jiang Zhaoyan luo Wei Xing Xiangzhong Ren College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdongChina Department of Mechanical and Materials Engineering University of Western OntarioLondonOntarioCanada State Key Laboratory of Electroanalytical Chemistry Jilin Province Key Laboratory of Low Carbon Chemical PowerChangchun Institute of Applied ChemistryChinese Academy of SciencesJilinChangchunChina

The high-temperature pyrolysis process for preparing M–N–C single-atom catalyst usually results in high heterogeneity in product structure concurrently contains multiscale metal phases from single atoms(SAs),atomic clusters to nanoparticles.Therefore,understanding the interactions among these components,especially the synergistic effects between single atomic sites and cluster sites,is crucial for improving the oxygen reduction reaction(ORR)activity of M–N–C catalysts.Accordingly,herein,we constructed a model catalyst composed of both atomically dispersed FeN4 SA sites and adjacent Fe clusters through a site occupation strategy.We found that the Fe clusters can optimize the adsorption strength of oxygen reduction intermediates on FeN4 SA sites by introducing electron-withdrawing–OH ligands and decreasing the d-band center of the Fe center.The as-developed catalyst exhibits encouraging ORR activity with halfwave potentials(E1/2)of 0.831 and 0.905 V in acidic and alkaline media,respectively.Moreover,the catalyst also represents excellent durability exceeding that of Fe–N–C SA catalyst.The practical application of Fe(Cd)–CNx catalyst is further validated by its superior activity and stability in a metalair battery device.Our work exhibits the great potential of synergistic effects between multiphase metal species for improvements of singleatom site catalysts.

关键词： d-band center metal clusters oxygen reduction reaction single-atom catalyst site occupations strategy

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Alcohol solvent effect on the self-assembly behaviors of lignin oligomers

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Green Energy & Environment 2024年第4期9卷 597-603页

作者： Ya Ma Zhicheng jiang Yafei luo Xingjie Guo Xudong Liu Yiping luo Bi Shi College of Biomass Science and Engineering Sichuan UniversityChengdu610065China National Engineering Research Center of Clean Technology in Leather Industry Sichuan UniversityChengdu610065China College of Pharmacy(International Academy of Targeted Therapeutics and Innovation) Chongqing University of Arts and SciencesChongqing402160China State Key Laboratory of Utilization of Woody Oil Resource Hunan Academy of ForestryChangsha410004China CAS Key Laboratory of Environmental and Applied Microbiology Environmental Microbiology Key Laboratory of Sichuan ProvinceChengdu Institute of BiologyChinese Academy of SciencesChengdu610041China

The interactions between lignin oligomers and solvents determine the behaviors of lignin oligomers self-assembling into uniform lignin nanoparticles(LNPs).herein,several alcohol solvents,which readily interact with the lignin oligomers,were adopted to study their effects during solvent shifting process for LNPs’production.The lignin oligomers with widely distributed molecular weight and abundant guaiacyl units were extracted from wood waste(mainly consists of pine wood),exerting outstanding self-assembly capability.Uniform and spherical LNPs were generated in H_(2)O-n-propanol cosolvent,whereas irregular LNPs were obtained in H_(2)O-methanol cosolvent.The unsatisfactory self-assembly performance of the lignin oligomers in H_(2)O-methanol cosolvent could be attributed to two aspects.On one hand,for the initial dissolution state,the distinguishing Hansen solubility parameter and polarity between methanol solvent and lignin oligomers resulted in the poor dispersion of the lignin oligomers.On the other hand,strong hydrogen bonds between methanol solvent and lignin oligomers during solvent shifting process,hindered the interactions among the lignin oligomers for self-assembly.

关键词： Lignin oligomers Alcohol solvent Self-assembly LNPs Solvent effects

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Comparison of the hygrothermal performance of two light-framed timber structure buildings under different operation modes

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第1期25卷 18-35页

作者： Wanqing XU Yucong XUE jiang LU Yifan FAN Xiaoyu luo College of Civil Engineering and Architecture Zhejiang UniversityHangzhou310058China International Research Center for Green Building and Low-Carbon City International CampusZhejiang UniversityJiaxing314400China School of Civil Engineering and Architecture Zhejiang University of Science and TechnologyHangzhou310023China

Light-framed timber structure(LTS)buildings have been highly valued in recent years due to their low-carbon characteristics.However,the applicability of the building envelope is closely related to indoor and outdoor conditions.The hot summer and cold winter(HSCW)climate zone in China has high humidity and great temperature variation throughout the year,resulting in distinct outdoor environments in different seasons.The indoor environment is greatly affected by energy-consumption patterns and window-opening habits,which largely depend upon the regulation operations of occupants.All these interrelated factors lead to extremely complex boundary conditions on each side of the building envelope.Whether the structures of LTS buildings are applicable in this climate zone,therefore,needs to be carefully considered.In this study,two LTS buildings with different envelopes were established in Haining,China,situated in the HSCW climate zone,and selected as the study objects.Different operation modes were adopted to create a variety of indoor environments.Under each condition,the processes of heat and moisture transfer within the building envelopes and the indoor environment were monitored and compared.The comparison indicated that the building envelope with high moisture storage and insulation ability maintained a relatively stable indoor environment,especially when the environment changed abruptly.Conversely,if the outdoor environment was equable(e.g.,relative humidity within the range of 30%–60%)or intermittent energy consumption modes were adopted,the building envelope with a low thermal inertia index and weak moisture-buffering ability performed better because it enabled a faster response of the indoor environment to air conditioning.Moreover,a high risk of moisture accumulation between the thermal insulation layer and other materials with a large water vapour transfer resistance factor was also identified,suggesting a higher requirement for the vapour insulation of the envelopes of LTS buildings.

关键词： Light-framed timber structure(LTS)buildings In-situ experiment Typical operation mode Indoor environment heatand moisture transfer

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Multimodal Fusion of Brain Imaging Data: Methods and Applications

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Machine Intelligence Research 2024年第1期21卷 136-152页

作者： Na luo Weiyang Shi Zhengyi Yang Ming Song Tianzi jiang Brainnetome Center and National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Brain Science and Intelligence Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Augmented Intelligence Zhejiang LaboratoryHangzhou 311100China

Neuroimaging data typically include multiple modalities,such as structural or functional magnetic resonance imaging,dif-fusion tensor imaging,and positron emission tomography,which provide multiple views for observing and analyzing the brain.To lever-age the complementary representations of different modalities,multimodal fusion is consequently needed to dig out both inter-modality and intra-modality information.With the exploited rich information,it is becoming popular to combine multiple modality data to ex-plore the structural and functional characteristics of the brain in both health and disease status.In this paper,we first review a wide spectrum of advanced machine learning methodologies for fusing multimodal brain imaging data,broadly categorized into unsupervised and supervised learning strategies.Followed by this,some representative applications are discussed,including how they help to under-stand the brain arealization,how they improve the prediction of behavioral phenotypes and brain aging,and how they accelerate the biomarker exploration of brain diseases.Finally,we discuss some exciting emerging trends and important future directions.Collectively,we intend to offer a comprehensive overview of brain imaging fusion methods and their successful applications,along with the chal-lenges imposed by multi-scale and big data,which arises an urgent demand on developing new models and platforms.

关键词： Multimodal fusion supervised learning unsupervised learning brain atlas cognition brain disorders

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Lipid metabolism analysis in esophageal cancer and associated drug discovery

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Journal of Pharmaceutical Analysis 2024年第1期14卷 1-15页

作者： Ruidi Jiao Wei jiang Kunpeng Xu Qian luo Luhua Wang Chao Zhao Bionic Sensing and Intelligence Center Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital&Shenzhen HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeShenzhenGuangdong518116China School of Medicine Southern University of Science and TechnologyShenzhenGuangdong518000China University of Chinese Academy of Sciences Beijing100049China Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China

Esophageal cancer is an upper gastrointestinal malignancy with a bleak prognosis.It is still being explored in depth due to its complex molecular mechanisms of occurrence and development.Lipids play a crucial role in cells by participating in energy supply,biofilm formation,and signal transduction processes,and lipid metabolic reprogramming also constitutes a significant characteristic of malignant tumors.More and more studies have found esophageal cancer has obvious lipid metabolism abnormalities throughout its beginning,progress,and treatment resistance.The inhibition of tumor growth and the enhancement of antitumor therapy efficacy can be achieved through the regulation of lipid metabolism.Therefore,we reviewed and analyzed the research results and latest findings for lipid metabolism and associated analysis techniques in esophageal cancer,and comprehensively proved the value of lipid metabolic reprogramming in the evolution and treatment resistance of esophageal cancer,as well as its significance in exploring potential therapeutic targets and biomarkers.

关键词： Lipid metabolism Esophageal cancer Progression Treatment resistance New therapeutic targets

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Uniaxial Compressive Strength Prediction for Rock Material in Deep Mine Using Boosting-Based Machine Learning Methods and Optimization Algorithms

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 275-304页

作者： Junjie Zhao Diyuan Li Jingtai jiang Pingkuang luo School of Resources and Safety Engineering Central South UniversityChangsha410083China

Traditional laboratory tests for measuring rock uniaxial compressive strength(UCS)are tedious and timeconsuming.There is a pressing need for more effective methods to determine rock UCS,especially in deep mining environments under high in-situ stress.Thus,this study aims to develop an advanced model for predicting the UCS of rockmaterial in deepmining environments by combining three boosting-basedmachine learning methods with four optimization algorithms.For this purpose,the Lead-Zinc mine in Southwest China is considered as the case study.Rock density,P-wave velocity,and point load strength index are used as input variables,and UCS is regarded as the output.Subsequently,twelve hybrid predictive models are obtained.Root mean square error(RMSE),mean absolute error(MAE),coefficient of determination(R2),and the proportion of the mean absolute percentage error less than 20%(A-20)are selected as the evaluation metrics.Experimental results showed that the hybridmodel consisting of the extreme gradient boostingmethod and the artificial bee colony algorithm(XGBoost-ABC)achieved satisfactory results on the training dataset and exhibited the best generalization performance on the testing dataset.The values of R2,A-20,RMSE,and MAE on the training dataset are 0.98,1.0,3.11 MPa,and 2.23MPa,respectively.The highest values of R2 and A-20(0.93 and 0.96),and the smallest RMSE and MAE values of 4.78 MPa and 3.76MPa,are observed on the testing dataset.The proposed hybrid model can be considered a reliable and effective method for predicting rock UCS in deep mines.

关键词： Uniaxial compression strength strength prediction machine learning optimization algorithm

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Elaborately engineering of lipid nanoparticle for targeting delivery of siRNA and suppressing acute liver injury

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Chinese Chemical Letters 2024年第2期35卷 323-328页

作者： Qiu Wang Qikun jiang Dan Li Zimeng Yang Lin Gao Fan Liu Chang Li Yao Feng Zhonggui he Cong luo Jin Sun Department of Pharmaceutics Wuya College of InnovationShenyang Pharmaceutical UniversityShenyang 110016China Kangya of Ningxia Pharmaceutical Co.Ltd. Yinchuan 750000China

Small interfering RNA(siRNA)-based gene silencing has been considered as a potential therapy modality against inflammatory diseases.Nevertheless,the effective delivery of siRNA to desired destination still remains challenging due to poor stability,high molecular weight and negative charge.Currently,ionizable lipid nanoparticle(LNP)has been extensively used as vector for effective delivery of siRNA.herein,we report a mannose-modified LNP(M-MC_(3) LNP@TNFα)loading tumor necrosis factorα(TNFα)siRNA for targeting liver macrophages,achieving effectively inhibit acute liver injury.The M-MC_(3) LNP@TNFαnot only increases the internalization of LNP by macrophages,but also enhances the gene silencing efficiency of TNFαin vitro.Additionally,the M-MC_(3) LNP@TNFαexhibits higher accumulation in liver of healthy mice than that of MC_(3) LNP@TNFα(un-modified LNP)owing to the targeting effect of mannose.As expected,the M-MC_(3) LNP@TNFαsignificantly suppresses the expression of TNFαand ameliorates liver damage in acute liver injury model.Such a LNP targeting siRNA delivery holds great potential for the treatment of diseases associated with liver in the future.

关键词： Lipid nanoparticle Targeting siRNA delivery Acute liver injury Gene silencing Tumor necrosis factorα

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In situ generation of oxyanions-decorated cobalt(nickel)oxyhydroxide catalyst with high corrosion resistance for stable and efficient seawater oxidation

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Journal of Energy Chemistry 2024年第7期94卷 508-516页

作者： Fengting luo Pei Yu Jueting Xiang Junjie jiang Shijian Chen Chongqing Key Laboratory of Interface Physics in Energy Conversion College of PhysicsChongqing UniversityChongqing 401331China Center of Modern Physics Institute for Smart City of Chongqing University in LiyangLiyang 213300JiangsuChina

The development of efficient and robust anode materials for stable alkaline seawater electrolysis is severely limited by chlorine evolution reaction and chloride corrosion.here,the sulfur-doped cobalt-nickel bimetallic phosphides(CoNiPS)are specifically designed as a pre-catalyst for navigating a surface reconstruction to fabricate the anions(PO^(3-)_(4) and SO^(2-)_(4))-decorated Co(Ni)OOH catalyst(R-CoNiPS)with exceptional durability and high activity for stable alkaline seawater oxidation(ASO).Various experiment techniques together with theoretical simulations both demonstrate that the in situ-generated PO^(3-)_(4) and SO^(2-)_(4) anions on catalyst surface can improve the oxygen evolution reaction(OER)activity,regulating and stabilizing the catalytic active species Co(Ni)OOH,as well as make a critical role in inhibiting the adsorp-tion of chloride ions and extending the service life of electrode.Therefore,this R-CoNiPS electrode exhi-bits superb OER activity toward AsO and stands out among the non-precious ASO electrocatalysts reported recently,requiring low overpotentials of 420 and 440 mV to attain large current densities of 500 and 1000 mA cm^(-2) in an alkaline natural seawater electrolyte,respectively.Particularly,the catalyst displays a negligible chloride corrosion at room temperature during ASO operation(>200 h)at 500 mA cm^(-2).This work opens up a new viewpoint for designing high-activity and durable electrocata-lystsforseawaterelectrolysis.

关键词： Seawater electrolysis Anions Oxygen evolution reaction Chloride corrosion

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