Deep geothermal energy presents large untapped renewable energy potential could significantly contribute to global energy needs. However, developing geothermal projects involves uncertainties regarding adequate geothe...Deep geothermal energy presents large untapped renewable energy potential could significantly contribute to global energy needs. However, developing geothermal projects involves uncertainties regarding adequate geothermal brine extraction and huge costs related to preparation phases and consequently drilling and stimulation activities. Therefore, evaluating utilization alternatives of such projects is a complex decision-making problem effectively addressed using multi-criteria decision-making (MCDM) methods. This study introduces the MCDM method utilizing analytic hierarchy process (AHP) and weighted decision matrix (WDM) to assess different utilization alternatives (electricity generation, direct heat use and cogeneration). The AHP method determines the weight of each criterion and sub-criterion, while the WDM calculates the final project grade. Five criteria groups - technological, geological, economic, societal and environmental – comprising twenty-eight influencing factors were selected and used for the assessment of investment in Enhanced Geothermal Systems (EGS) projects. The AHP-WDM method was used by 38 experts from six categories: industry, educational institution, research and technology organization (RTO), small- and medium-sized enterprises (SME), local community and other. These diverse expert inputs aimed to capture varying perspectives and knowledge influence investment decisions in geothermal energy. The results were analysed accordingly. The results underscore the importance of incorporating different viewpoints to develop robust, credible, and effective investment strategies for EGS projects. Therefore, this method will contribute to more efficient EGS project development, enabling thus a greater penetration of the EGS into the market. Additionally, the proposed AHP-WDM method was implemented for a case study examining two locations. Locations were assessed and compared on scenario-based evaluation. The results confirmed the method's adequacy for assessing various end uses and comparing projec展开更多
In this paper, we investigate the recovery of an undamped spectrally sparse signal and its spectral components from a set of regularly spaced samples within the framework of spectral compressed sensing and super-resol...In this paper, we investigate the recovery of an undamped spectrally sparse signal and its spectral components from a set of regularly spaced samples within the framework of spectral compressed sensing and super-resolution. We show that the existing Hankel-based optimization methods suffer from the fundamental limitation that the prior knowledge of undampedness cannot be exploited. We propose a new low-rank optimization model partially inspired by forward-backward processing for line spectral estimation and show its capability to restrict the spectral poles to the unit circle. We present convex relaxation approaches with the model and show their provable accuracy and robustness to bounded and sparse noise. All our results are generalized from one-dimensional to arbitrary-dimensional spectral compressed sensing. Numerical simulations are provided to corroborate our analysis and show the efficiency of our model and the advantageous performance of our approach in terms of accuracy and resolution compared with the state-of-the-art Hankel and atomic norm methods.展开更多
In situ and real-time monitoring of responsive drug release is critical for the assessment of pharmacodynamics in chemotherapy.In this study,a novel pH-responsive nanosystem is proposed for real-time monitoring of dru...In situ and real-time monitoring of responsive drug release is critical for the assessment of pharmacodynamics in chemotherapy.In this study,a novel pH-responsive nanosystem is proposed for real-time monitoring of drug release and chemo-phototherapy by surface-enhanced Raman spectroscopy(SERS).The Fe3O4@Au@Ag nanoparticles(NPs)deposited graphene oxide(GO)nanocomposites with a high SERS activity and stability are synthesized and labeled with a Raman reporter 4-mercaptophenylboronic acid(4-MPBA)to form SERS probes(GO-Fe3O4@Au@Ag-MPBA).Furthermore,doxorubicin(DOX)is attached to SERS probes through a pH-responsive linker boronic ester(GO-Fe3O4@Au@Ag-MPBA-DOX),accompanying the 4-MPBA signal change in SERS.After the entry into tumor,the breakage of boronic ester in the acidic environment gives rise to the release of DOX and the recovery of 4-MPBA SERS signal.Thus,the DOX dynamic release can be monitored by the real-time changes of 4-MPBA SERS spectra.Additionally,the strong T2 magnetic resonance(MR)signal and NIR photothermal transduction efficiency of the nanocomposites make it available for MR imaging and photothermal therapy(PTT).Altogether,this GO-Fe3O4@Au@Ag-MPBA-DOX can simultaneously fulfill the synergistic combination of cancer cell targeting,pH-sensitive drug release,SERS-traceable detection and MR imaging,endowing it great potential for SERS/MR imaging-guided efficient chemo-phototherapy on cancer treatment.展开更多
Glucose detection in complex matrix such as physiological fluids and drinks can provide useful information guide for people.However,traditional detection methods toward complex matrix suffer from the impurity interfer...Glucose detection in complex matrix such as physiological fluids and drinks can provide useful information guide for people.However,traditional detection methods toward complex matrix suffer from the impurity interference or complex pretreatments.So,it is important to exploit a universal and sensitive glucose detection strategy in complex matrix.In this work,a cascade catalytic scheme based on peroxidase-like MBs@MIL-100(Fe)@Ag(MMA)is developed for sensitive glucose detection in complex solution.Using 3,3’,5,5’-tetramethylbenzidine(TMB)as an indicator,MMA can trigger catalytic cascade reactions for specific glucose sensing.In particular,the peroxidase-like MIL-100(Fe)serves as both the catalysis unit and enrichment unit.Oxidation state of TMB(oxTMB)can be effectively and specifically enriched by MIL-100(Fe)to exclude the interference of undesired impurities and macromolecules,which is suitable for complex sample matrix including colored soda and saliva.In addition,utilizing the peroxidase-like activity of MIL-100(Fe)for self-clean,the residual indicator molecules can be degraded,resulting in the recyclable use of MMA.展开更多
Transparent afterglow crystals are keenly desired for three-dimensional information storage.Herein,CsCdCl3 perovskite crystals were grown by a programmable cool-ing procedure in a hydrothermal reactor.The pristine cry...Transparent afterglow crystals are keenly desired for three-dimensional information storage.Herein,CsCdCl3 perovskite crystals were grown by a programmable cool-ing procedure in a hydrothermal reactor.The pristine crystal showed an abnormal optical behavior where the absorption increased by 2.3 folds at high temperature,leading to a fourfold boost of photoluminescence(PL)intensity.After Mn2+dop-ing,the PL quantum yield was improved to nearly unity.Importantly,the doped crystals exhibited an ultralong afterglow up to 12 h after ceasing UV excitation and a high transmittance up to 75%in the visible region.This work brought a new mem-ber to the library of transparent afterglow crystal,opening up many possibilities to advanced applications such as volumetric display and three-dimensional information encryption.展开更多
Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve s...Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve social relations to improve recommendation performance.However,the existing works either leave out the user reliability or cannot capture the correlation between two users who are similar but not socially connected.Besides,they also take the trust value between users either 0 or 1,thus degenerating the prediction accuracy.In this paper,we propose an efficient social affect model,multi-affect(ed),for recommendation via incorporating both users'reliability and influence propagation.Specifically,the model contains two main components,i.e.,computation of user reliability and influence propagation,designing of user-shared feature space.Firstly,a reliability calculation strategy based on user similarity is developed for measuring the recommendation accuracy between users.Then,the factor of influence propagation relationship among users is taken into consideration.Finally,the multi-affect(ed)model is developed with user-shared feature space to generate the predicted ratings.Experimental results demonstrate that the proposed model achieves better accuracy than other counterparts recommendation techniques.展开更多
采用脂质去除分散固相萃取进行前处理建立鸡蛋中62种农药残留筛查的气相色谱-串联质谱(gas chromatography-tandem mass spectrometry,GC-MS/MS)检测方法。经过条件优化后,样品用10 mL 1%乙酸-乙腈和5 mL水提取,提取液经氯化钠盐析后取...采用脂质去除分散固相萃取进行前处理建立鸡蛋中62种农药残留筛查的气相色谱-串联质谱(gas chromatography-tandem mass spectrometry,GC-MS/MS)检测方法。经过条件优化后,样品用10 mL 1%乙酸-乙腈和5 mL水提取,提取液经氯化钠盐析后取有机相,最后将有机相转移至增强型脂质去除(EMR-Lipid)分散固相萃取净化管中净化并高速离心,GC-MS/MS测定,外标法定量。62种农药在5~400μg/L范围之间线性关系良好,相关系数(R)在0.95以上,其中59种农药的检出限为0.5~5.0μg/kg,定量限为1.0~20.0μg/kg。鸡蛋中62种农药使用EMR-Lipid分散固相萃取净化管去除脂质后的回收率和重复性结果都优于直接经过固相萃取净化管的结果,添加量为100μg/kg时,98.4%的农药平均加标回收率为70.7%~117.2%,相对标准偏差为0.3%~10.9%。基质效应研究表明,62种农药中仅20种农药为弱基质效应,检测结果均需要通过基质标准溶液进行校正。该方法成功应用于实际样品分析。展开更多
基金funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 792037support from Department of Energy and Power Systems of University of Zagreb Faculty of Electrical Engineering and Computing.
文摘Deep geothermal energy presents large untapped renewable energy potential could significantly contribute to global energy needs. However, developing geothermal projects involves uncertainties regarding adequate geothermal brine extraction and huge costs related to preparation phases and consequently drilling and stimulation activities. Therefore, evaluating utilization alternatives of such projects is a complex decision-making problem effectively addressed using multi-criteria decision-making (MCDM) methods. This study introduces the MCDM method utilizing analytic hierarchy process (AHP) and weighted decision matrix (WDM) to assess different utilization alternatives (electricity generation, direct heat use and cogeneration). The AHP method determines the weight of each criterion and sub-criterion, while the WDM calculates the final project grade. Five criteria groups - technological, geological, economic, societal and environmental – comprising twenty-eight influencing factors were selected and used for the assessment of investment in Enhanced Geothermal Systems (EGS) projects. The AHP-WDM method was used by 38 experts from six categories: industry, educational institution, research and technology organization (RTO), small- and medium-sized enterprises (SME), local community and other. These diverse expert inputs aimed to capture varying perspectives and knowledge influence investment decisions in geothermal energy. The results were analysed accordingly. The results underscore the importance of incorporating different viewpoints to develop robust, credible, and effective investment strategies for EGS projects. Therefore, this method will contribute to more efficient EGS project development, enabling thus a greater penetration of the EGS into the market. Additionally, the proposed AHP-WDM method was implemented for a case study examining two locations. Locations were assessed and compared on scenario-based evaluation. The results confirmed the method's adequacy for assessing various end uses and comparing projec
基金supported by National Natural Science Foundation of China (Grant Nos. 61977053 and 11922116)。
文摘In this paper, we investigate the recovery of an undamped spectrally sparse signal and its spectral components from a set of regularly spaced samples within the framework of spectral compressed sensing and super-resolution. We show that the existing Hankel-based optimization methods suffer from the fundamental limitation that the prior knowledge of undampedness cannot be exploited. We propose a new low-rank optimization model partially inspired by forward-backward processing for line spectral estimation and show its capability to restrict the spectral poles to the unit circle. We present convex relaxation approaches with the model and show their provable accuracy and robustness to bounded and sparse noise. All our results are generalized from one-dimensional to arbitrary-dimensional spectral compressed sensing. Numerical simulations are provided to corroborate our analysis and show the efficiency of our model and the advantageous performance of our approach in terms of accuracy and resolution compared with the state-of-the-art Hankel and atomic norm methods.
基金supported by the National Natural Science Foundation of China(81872759 and 22177039)the National Key Research and Development Program of China(2021YFC2300400)+1 种基金Scien ceand Technology Program of Guangzhou(202102010097,China)Pearl River Talent Program(2017GC010363,China).
文摘In situ and real-time monitoring of responsive drug release is critical for the assessment of pharmacodynamics in chemotherapy.In this study,a novel pH-responsive nanosystem is proposed for real-time monitoring of drug release and chemo-phototherapy by surface-enhanced Raman spectroscopy(SERS).The Fe3O4@Au@Ag nanoparticles(NPs)deposited graphene oxide(GO)nanocomposites with a high SERS activity and stability are synthesized and labeled with a Raman reporter 4-mercaptophenylboronic acid(4-MPBA)to form SERS probes(GO-Fe3O4@Au@Ag-MPBA).Furthermore,doxorubicin(DOX)is attached to SERS probes through a pH-responsive linker boronic ester(GO-Fe3O4@Au@Ag-MPBA-DOX),accompanying the 4-MPBA signal change in SERS.After the entry into tumor,the breakage of boronic ester in the acidic environment gives rise to the release of DOX and the recovery of 4-MPBA SERS signal.Thus,the DOX dynamic release can be monitored by the real-time changes of 4-MPBA SERS spectra.Additionally,the strong T2 magnetic resonance(MR)signal and NIR photothermal transduction efficiency of the nanocomposites make it available for MR imaging and photothermal therapy(PTT).Altogether,this GO-Fe3O4@Au@Ag-MPBA-DOX can simultaneously fulfill the synergistic combination of cancer cell targeting,pH-sensitive drug release,SERS-traceable detection and MR imaging,endowing it great potential for SERS/MR imaging-guided efficient chemo-phototherapy on cancer treatment.
基金This study is supported by the National Natural Science Foundation of China(NSFC)(Nos.62175030 and 62175027).
文摘Glucose detection in complex matrix such as physiological fluids and drinks can provide useful information guide for people.However,traditional detection methods toward complex matrix suffer from the impurity interference or complex pretreatments.So,it is important to exploit a universal and sensitive glucose detection strategy in complex matrix.In this work,a cascade catalytic scheme based on peroxidase-like MBs@MIL-100(Fe)@Ag(MMA)is developed for sensitive glucose detection in complex solution.Using 3,3’,5,5’-tetramethylbenzidine(TMB)as an indicator,MMA can trigger catalytic cascade reactions for specific glucose sensing.In particular,the peroxidase-like MIL-100(Fe)serves as both the catalysis unit and enrichment unit.Oxidation state of TMB(oxTMB)can be effectively and specifically enriched by MIL-100(Fe)to exclude the interference of undesired impurities and macromolecules,which is suitable for complex sample matrix including colored soda and saliva.In addition,utilizing the peroxidase-like activity of MIL-100(Fe)for self-clean,the residual indicator molecules can be degraded,resulting in the recyclable use of MMA.
基金Natural Science Foundation of Shandong Province,Grant/Award Number:ZR2020YQ12Young Taishan Scholars Program of Shandong Province,Grant/Award Number:tsqn201812082。
文摘Transparent afterglow crystals are keenly desired for three-dimensional information storage.Herein,CsCdCl3 perovskite crystals were grown by a programmable cool-ing procedure in a hydrothermal reactor.The pristine crystal showed an abnormal optical behavior where the absorption increased by 2.3 folds at high temperature,leading to a fourfold boost of photoluminescence(PL)intensity.After Mn2+dop-ing,the PL quantum yield was improved to nearly unity.Importantly,the doped crystals exhibited an ultralong afterglow up to 12 h after ceasing UV excitation and a high transmittance up to 75%in the visible region.This work brought a new mem-ber to the library of transparent afterglow crystal,opening up many possibilities to advanced applications such as volumetric display and three-dimensional information encryption.
基金the National Natural Science Foundation of China(Grant Nos.61762078,61363058,61966009,61762079,U1711263,U1811264)Guangxi Key Laboratory of Trusted Software(kx202003)Major Project of Young Teachers'Scientific Research Ability Promotion Plan(NWNU-LKQN2019-2).
文摘Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve social relations to improve recommendation performance.However,the existing works either leave out the user reliability or cannot capture the correlation between two users who are similar but not socially connected.Besides,they also take the trust value between users either 0 or 1,thus degenerating the prediction accuracy.In this paper,we propose an efficient social affect model,multi-affect(ed),for recommendation via incorporating both users'reliability and influence propagation.Specifically,the model contains two main components,i.e.,computation of user reliability and influence propagation,designing of user-shared feature space.Firstly,a reliability calculation strategy based on user similarity is developed for measuring the recommendation accuracy between users.Then,the factor of influence propagation relationship among users is taken into consideration.Finally,the multi-affect(ed)model is developed with user-shared feature space to generate the predicted ratings.Experimental results demonstrate that the proposed model achieves better accuracy than other counterparts recommendation techniques.
文摘采用脂质去除分散固相萃取进行前处理建立鸡蛋中62种农药残留筛查的气相色谱-串联质谱(gas chromatography-tandem mass spectrometry,GC-MS/MS)检测方法。经过条件优化后,样品用10 mL 1%乙酸-乙腈和5 mL水提取,提取液经氯化钠盐析后取有机相,最后将有机相转移至增强型脂质去除(EMR-Lipid)分散固相萃取净化管中净化并高速离心,GC-MS/MS测定,外标法定量。62种农药在5~400μg/L范围之间线性关系良好,相关系数(R)在0.95以上,其中59种农药的检出限为0.5~5.0μg/kg,定量限为1.0~20.0μg/kg。鸡蛋中62种农药使用EMR-Lipid分散固相萃取净化管去除脂质后的回收率和重复性结果都优于直接经过固相萃取净化管的结果,添加量为100μg/kg时,98.4%的农药平均加标回收率为70.7%~117.2%,相对标准偏差为0.3%~10.9%。基质效应研究表明,62种农药中仅20种农药为弱基质效应,检测结果均需要通过基质标准溶液进行校正。该方法成功应用于实际样品分析。
