Parkinson's disease(PD) has a complex and multifactorial pathophysiology. Various studies, conducted both in pre-clinical models and PD patients, have reported a link between the disruption of calcium(Ca^(2+)) hom...Parkinson's disease(PD) has a complex and multifactorial pathophysiology. Various studies, conducted both in pre-clinical models and PD patients, have reported a link between the disruption of calcium(Ca^(2+)) homeostasis and the subsequent development of PD. Ca^(2+) regulation is crucial for neuronal survival, differentiation,exocytosis at synapses,gene transcription,and proliferation.展开更多
This review focuses on the diagnostic algorithm for nonobstructive azoospermia(NOA),a significant male factor contributing to infertility.NOA,characterized by the absence of sperm in the ejaculate,requires a systemati...This review focuses on the diagnostic algorithm for nonobstructive azoospermia(NOA),a significant male factor contributing to infertility.NOA,characterized by the absence of sperm in the ejaculate,requires a systematic diagnostic approach to identify reversible conditions,genetic factors,and prognosis for achieving pregnancy.The diagnostic pathway involves semen analysis and a comprehensive evaluation for hormonal deficiencies,anatomical abnormalities,and genetic factors.The importance of medical history,physical examination,endocrine evaluation,imaging,and genetic testing is emphasized.This review highlights the significance of differentiating NOA from obstructive azoospermia(OA)and outlines key considerations for effective management,including surgical sperm retrieval and assisted reproductive techniques.Testicular biopsy is discussed as a definitive method to distinguish obstructive cases from nonobstructive cases,providing valuable prognostic information.Overall,a thorough and systematic diagnostic approach is essential for the effective management of men suspected with NOA,offering insights into potential treatment options and reproductive outcomes.展开更多
Lithium-ion batteries(LIBs)have dominated the portable electronic and electrochemical energy markets since their commercialisation,whose high cost and lithium scarcity have prompted the development of other alkali-ion...Lithium-ion batteries(LIBs)have dominated the portable electronic and electrochemical energy markets since their commercialisation,whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries(AIBs)including sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs).Owing to larger ion sizes of Na^(+)and K^(+)compared with Li^(+),nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium storage.With enticing open rigid framework structures,Prussian blue analogues(PBAs)remain promising self-sacrificial templates for the preparation of various nanocomposites,whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal decomposition.This review focuses on the recent progress of PBA-derived nanocomposites from their fabrication,lithium/sodium/potassium storage mechanism,and applications in AIBs(LIBs,SIBs,and PIBs).To distinguish various PBA derivatives,the working mechanism and applications of PBA-templated metal oxides,metal chalcogenides,metal phosphides,and other nanocomposites are systematically evaluated,facilitating the establishment of a structure–activity correlation for these materials.Based on the fruitful achievements of PBA-derived nanocomposites,perspectives for their future development are envisioned,aiming to narrow down the gap between laboratory study and industrial reality.展开更多
Induced brain oscillations in the gamma range have recently garnered attention due to their reported neuroprotective effects in the treatment of Alzheimer’s disease.This method differs from pharmacological approaches...Induced brain oscillations in the gamma range have recently garnered attention due to their reported neuroprotective effects in the treatment of Alzheimer’s disease.This method differs from pharmacological approaches by tapping into the neuronal population dynamics that underlie the homeostatic processes in the brain that are crucial for the recovery of function.Recently,induced gamma-range oscillations have been used to improve cerebral blood flow,motor function,and synaptic plasticity in a mouse model of focal stroke,highlighting the broad potential of recruiting intrinsic recovery processes for the treatment of neurological conditions.Addressing open questions,such as the frequency specificity of the benefits,will shed light on the intrinsic processes involved and allow clinicians to optimize recovery after stroke.展开更多
The provision of anaesthesia for individuals receiving chronic dialysis can be challenging.Sedation and anaesthesia are frequently managed by critical care clinicians in the intensive care unit or operating room.This ...The provision of anaesthesia for individuals receiving chronic dialysis can be challenging.Sedation and anaesthesia are frequently managed by critical care clinicians in the intensive care unit or operating room.This narrative review summarizes the important principles of sedation and anaesthesia for individuals on long-term dialysis,with reference to the best available evidence.Topics covered include the pharmacology of anaesthetic agents,the impacts of patient characteristics upon the pre-anaesthetic assessment and critical illness,and the fundamentals of dialysis access procedures.展开更多
ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential sec...ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future directions.Through this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.展开更多
Because of the recent widespread usage of antibiotics,the acquisition and dissemination of antibiotic-resistance genes(ARGs)were prevalent in the majority of habitats.Generally,the biological wastewater treatment proc...Because of the recent widespread usage of antibiotics,the acquisition and dissemination of antibiotic-resistance genes(ARGs)were prevalent in the majority of habitats.Generally,the biological wastewater treatment processes used in wastewater treatment plants have a limited efficiencies of antibiotics resistant bacteria(ARB)disinfection and ARGs degradation and even promote the proliferation of ARGs.Problematically,ARB and ARGs in effluent pose potential risks if they are not further treated.Photocatalytic oxidation is considered a promising disinfection technology,where the photocatalytic process generates many free radicals that enhance the interaction between light and deoxyribonucleic acid(DNA)for ARB elimination and subsequent degradation of ARGs.This reviewaims to illustrate the progress of photocatalytic oxidation technology for removing antibiotics resistant(AR)from wastewater in recent years.We discuss the sources and transfer of ARGs in wastewater.The overall removal efficiencies of ultraviolet radiation(UV)/chlorination,UV/ozone,UV/H_(2)O_(2),and UV/sulfate-radical based system for ARB and ARGs,as well as the experimental parameters and removal mechanisms,are systematically discussed.The contribution of photocatalytic materials based on TiO_(2) and g-C_(3)N_(4) to the inactivation of ARB and degradation of ARGs is highlighted,producingmany free radicals to attack ARB and ARGs while effectively limiting the horizontal gene transfer(HGT)in wastewater.Finally,based on the reviewed studies,future research directions are proposed to realize specific photocatalytic oxidation technology applications and overcome current challenges.展开更多
Moisture accumulation within road pavements,particularly in unbound granular materials with or without thin sprayed seals,presents significant challenges in high-rainfall regions such as Queensland.This infiltration o...Moisture accumulation within road pavements,particularly in unbound granular materials with or without thin sprayed seals,presents significant challenges in high-rainfall regions such as Queensland.This infiltration often leads to various forms of pavement distress,eventually causing irreversible damage to the pavement structure.The moisture content within pavements exhibits considerable dynamism and directly influenced by environmental factors such as precipitation,air temperature,and relative humidity.This variability underscores the importance of monitoring moisture changes using real-time climatic data to assess pavement conditions for operational management or incorporating these effects during pavement design based on historical climate data.Consequently,there is an increasing demand for advanced,technology-driven methodologies to predict moisture variations based on climatic inputs.Addressing this gap,the present study employs five traditional machine learning(ML)algorithms,K-nearest neighbors(KNN),regression trees,random forest,support vector machines(SVMs),and gaussian process regression(GPR),to forecast moisture levels within pavement layers over time,with varying algorithm complexities.Using data collected from an instrumented road in Brisbane,Australia,which includes pavement moisture and climatic factors,the study develops predictive models to forecast moisture content at future time steps.The approach incorporates current moisture content,rather than averaged values,along with seasonality(both daily and annual),and key climatic factors to predict next step moisture.Model performance is evaluated using R2,MSE,RMSE,and MAPE metrics.Results show that ML algorithms can reliably predict long-term moisture variations in pavements,provided optimal hyperparameters are selected for each algorithm.The best-performing algorithms include KNN(the number of neighbours equals to 15),medium regression tree,medium random forest,coarse SVM,and simple GPR,with medium random forest outperforming the others.The study also identifies the optimal hyperparameter combinations for each algorithm,offering significant advancements in moisture prediction tools for pavement technology。展开更多
Fluoroscopic imaging is widely utilised for diagnostic and therapeutic procedures and is fundamental to the establishment and maintenance of dialysis vascular access.To optimise outcomes and avoid injury to patients a...Fluoroscopic imaging is widely utilised for diagnostic and therapeutic procedures and is fundamental to the establishment and maintenance of dialysis vascular access.To optimise outcomes and avoid injury to patients and healthcare pro-viders,radiation technology must be applied effectively and safely in clinical practice.Radiation safety may be overlooked by nephrology training curricula.This narrative review discusses the theoretical and practical principles of radiation management in fluoroscopy-guided procedures and is intended as a primer for trainees and nephrologists working in interventional settings.展开更多
The highly efficient electrochemical treatment technology for dye-polluted wastewater is one of hot research topics in industrial wastewater treatment.This study reported a three-dimensional electrochemical treatment ...The highly efficient electrochemical treatment technology for dye-polluted wastewater is one of hot research topics in industrial wastewater treatment.This study reported a three-dimensional electrochemical treatment process integrating graphite intercalation compound(GIC)adsorption,direct anodic oxidation,and·OH oxidation for decolourising Reactive Black 5(RB5)from aqueous solutions.The electrochemical process was optimised using the novel progressive central composite design-response surface methodology(CCD-NPRSM),hybrid artificial neural network-extreme gradient boosting(hybrid ANN-XGBoost),and classification and regression trees(CART).CCD-NPRSM and hybrid ANN-XGBoost were employed to minimise errors in evaluating the electrochemical process involving three manipulated operational parameters:current density,electrolysis(treatment)time,and initial dye concentration.The optimised decolourisation efficiencies were 99.30%,96.63%,and 99.14%for CCD-NPRSM,hybrid ANN-XGBoost,and CART,respectively,compared to the 98.46%RB5 removal rate observed experimentally under optimum conditions:approximately 20 mA/cm^(2) of current density,20 min of electrolysis time,and 65 mg/L of RB5.The optimised mineralisation efficiencies ranged between 89%and 92%for different models based on total organic carbon(TOC).Experimental studies confirmed that the predictive efficiency of optimised models ranked in the descending order of hybrid ANN-XGBoost,CCD-NPRSM,and CART.Model validation using analysis of variance(ANOVA)revealed that hybrid ANN-XGBoost had a mean squared error(MSE)and a coefficient of determination(R^(2))of approximately 0.014 and 0.998,respectively,for the RB5 removal efficiency,outperforming CCD-NPRSM with MSE and R^(2) of 0.518 and 0.998,respectively.Overall,the hybrid ANN-XGBoost approach is the most feasible technique for assessing the electrochemical treatment efficiency in RB5 dye wastewater decolourisation.展开更多
In this work,we have applied molybdenum(Mo)and titanium(Ti)co-doping to solve the degradation of Ni-rich cathodes.The modified cathode,i.e.,Li(Ni_(0.89)Co_(0.05)Mn_(0.05)Mo_(0.005)Ti_(0.005))O_(2) holds a stable struc...In this work,we have applied molybdenum(Mo)and titanium(Ti)co-doping to solve the degradation of Ni-rich cathodes.The modified cathode,i.e.,Li(Ni_(0.89)Co_(0.05)Mn_(0.05)Mo_(0.005)Ti_(0.005))O_(2) holds a stable structure with expanded crystal lattice distance which improves Li ion diffusion kinetics.The dopants have suppressed the growth of primary particles,formed a coating on the surface,and promoted the elongated morphology.Moreover,the mechanical strength of these particles has increased,as confirmed by the nanoindentation test,which can help suppress particle cracking.The detrimental H2-H3 phase transition has been postponed by 90 mV allowing the cathode to operate at a higher voltage.A better cycling stability over 100 cycles with 69%capacity retention has been observed.We believe this work points out a way to improve the cycling performance,Coulombic efficiency and capacity retention in Ni-rich cathodes.展开更多
Purpose We aimed to investigate the effects of running shoe longitudinal bending stiffness(LBS)and midsole energy return on running economy and ankle mechanics and energetics.Methods PubMed,Scopus,SPORTDiscus,Embase,C...Purpose We aimed to investigate the effects of running shoe longitudinal bending stiffness(LBS)and midsole energy return on running economy and ankle mechanics and energetics.Methods PubMed,Scopus,SPORTDiscus,Embase,CINAHL,and Web of Science were systematically searched for this meta-analysis.Crossover studies comparing the effects of running shoe LBS and/or midsole energy return on at least 1 of the following outcomes:running economy,ankle plantarflexion moment,work,power,or angular velocity were included.Results Of the 2453 studies screened,48 were included(n=878).Results indicated that advanced footwear technologies(AFTs)significantly reduced oxygen consumption(standardized mean difference=–0.44,95%confidence interval:–0.60 to–0.28),p<0.001)as well as peak ankle moments and positive/negative ankle work and power.However,neither LBS nor midsole energy return alone significantly affected oxygen consumption,ankle moments,positive and negative work,or positive power.The effects of AFTs were moderated by the training status and speed of the runner.The quality of evidence for all outcomes were low or very low for all outcomes except the effect of LBS on negative ankle work.Conclusion AFT may improve running economy by minimizing ankle moments,work,and power.The absence of significant independent effects of LBS and midsole energy return suggests that the benefits of AFTs arise from the interaction of these properties.Further research is necessary to understand the mechanisms for improved running performance in AFTs.展开更多
While being a promising candidate for large-scale energy storage,the current market penetration of vanadium redox flow batteries(VRFBs)is still limited by several challenges.As one of the key components in VRFBs,a mem...While being a promising candidate for large-scale energy storage,the current market penetration of vanadium redox flow batteries(VRFBs)is still limited by several challenges.As one of the key components in VRFBs,a membrane is employed to separate the catholyte and anolyte to prevent the vanadium ions from cross-mixing while allowing the proton conduction to maintain charge balance in the system during operation.To overcome the weakness of commercial membranes,various types of membranes,ranging from ion exchange membranes with diverse functional groups to non-ionic porous membranes,have been designed and reported to achieve higher ionic conductivity while maintaining low vanadium ion permeability,thus enhancing efficiency.In addition,besides overall efficiency,stability and cost-effectiveness of the membrane are also critical aspects that determine the practical applicability of the membranes and thus VRFBs.In this article,we have offered comprehensive insights into the mechanism of ion transportation in membranes of VRFBs that contribute to the challenges and issues of VRFB applications.We have further discussed optimal strategies for solving the trade-off between the membrane efficiency and its durability in VRFB applications.The development of state-of-the-art membranes through various material and structure engineering is demonstrated to reveal the relationship of properties-structure-performance.展开更多
文摘Parkinson's disease(PD) has a complex and multifactorial pathophysiology. Various studies, conducted both in pre-clinical models and PD patients, have reported a link between the disruption of calcium(Ca^(2+)) homeostasis and the subsequent development of PD. Ca^(2+) regulation is crucial for neuronal survival, differentiation,exocytosis at synapses,gene transcription,and proliferation.
文摘This review focuses on the diagnostic algorithm for nonobstructive azoospermia(NOA),a significant male factor contributing to infertility.NOA,characterized by the absence of sperm in the ejaculate,requires a systematic diagnostic approach to identify reversible conditions,genetic factors,and prognosis for achieving pregnancy.The diagnostic pathway involves semen analysis and a comprehensive evaluation for hormonal deficiencies,anatomical abnormalities,and genetic factors.The importance of medical history,physical examination,endocrine evaluation,imaging,and genetic testing is emphasized.This review highlights the significance of differentiating NOA from obstructive azoospermia(OA)and outlines key considerations for effective management,including surgical sperm retrieval and assisted reproductive techniques.Testicular biopsy is discussed as a definitive method to distinguish obstructive cases from nonobstructive cases,providing valuable prognostic information.Overall,a thorough and systematic diagnostic approach is essential for the effective management of men suspected with NOA,offering insights into potential treatment options and reproductive outcomes.
基金financial support from the Special Funds for the Cultivation of Guangdong College Students’Scientific and Technological Innovation(“Climbing Program”Special Funds,pdjh2023b0145)the Scientific Research Innovation Project of Graduate School of South China Normal University(2024KYLX047)financial support from the Australian Research Council,Centre for Materials Science,Queensland University of Technology.
文摘Lithium-ion batteries(LIBs)have dominated the portable electronic and electrochemical energy markets since their commercialisation,whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries(AIBs)including sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs).Owing to larger ion sizes of Na^(+)and K^(+)compared with Li^(+),nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium storage.With enticing open rigid framework structures,Prussian blue analogues(PBAs)remain promising self-sacrificial templates for the preparation of various nanocomposites,whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal decomposition.This review focuses on the recent progress of PBA-derived nanocomposites from their fabrication,lithium/sodium/potassium storage mechanism,and applications in AIBs(LIBs,SIBs,and PIBs).To distinguish various PBA derivatives,the working mechanism and applications of PBA-templated metal oxides,metal chalcogenides,metal phosphides,and other nanocomposites are systematically evaluated,facilitating the establishment of a structure–activity correlation for these materials.Based on the fruitful achievements of PBA-derived nanocomposites,perspectives for their future development are envisioned,aiming to narrow down the gap between laboratory study and industrial reality.
基金supported by the Brazil Family Program for Neurology(to MB),Alastair Rushworth Research Fund(to MS),Australian Government Research Training Program Scholarship(to MS),the National Natural Science Foundation of China(82202787)(to CW).
文摘Induced brain oscillations in the gamma range have recently garnered attention due to their reported neuroprotective effects in the treatment of Alzheimer’s disease.This method differs from pharmacological approaches by tapping into the neuronal population dynamics that underlie the homeostatic processes in the brain that are crucial for the recovery of function.Recently,induced gamma-range oscillations have been used to improve cerebral blood flow,motor function,and synaptic plasticity in a mouse model of focal stroke,highlighting the broad potential of recruiting intrinsic recovery processes for the treatment of neurological conditions.Addressing open questions,such as the frequency specificity of the benefits,will shed light on the intrinsic processes involved and allow clinicians to optimize recovery after stroke.
文摘The provision of anaesthesia for individuals receiving chronic dialysis can be challenging.Sedation and anaesthesia are frequently managed by critical care clinicians in the intensive care unit or operating room.This narrative review summarizes the important principles of sedation and anaesthesia for individuals on long-term dialysis,with reference to the best available evidence.Topics covered include the pharmacology of anaesthetic agents,the impacts of patient characteristics upon the pre-anaesthetic assessment and critical illness,and the fundamentals of dialysis access procedures.
文摘ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future directions.Through this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.
基金supported by the National Natural Science Foundation of China (Nos.52100182 and 52300204)the the Science and Technology Innovation Program of Hunan Province (No.2023RC3122).
文摘Because of the recent widespread usage of antibiotics,the acquisition and dissemination of antibiotic-resistance genes(ARGs)were prevalent in the majority of habitats.Generally,the biological wastewater treatment processes used in wastewater treatment plants have a limited efficiencies of antibiotics resistant bacteria(ARB)disinfection and ARGs degradation and even promote the proliferation of ARGs.Problematically,ARB and ARGs in effluent pose potential risks if they are not further treated.Photocatalytic oxidation is considered a promising disinfection technology,where the photocatalytic process generates many free radicals that enhance the interaction between light and deoxyribonucleic acid(DNA)for ARB elimination and subsequent degradation of ARGs.This reviewaims to illustrate the progress of photocatalytic oxidation technology for removing antibiotics resistant(AR)from wastewater in recent years.We discuss the sources and transfer of ARGs in wastewater.The overall removal efficiencies of ultraviolet radiation(UV)/chlorination,UV/ozone,UV/H_(2)O_(2),and UV/sulfate-radical based system for ARB and ARGs,as well as the experimental parameters and removal mechanisms,are systematically discussed.The contribution of photocatalytic materials based on TiO_(2) and g-C_(3)N_(4) to the inactivation of ARB and degradation of ARGs is highlighted,producingmany free radicals to attack ARB and ARGs while effectively limiting the horizontal gene transfer(HGT)in wastewater.Finally,based on the reviewed studies,future research directions are proposed to realize specific photocatalytic oxidation technology applications and overcome current challenges.
基金the financial and intellectual support provided by Queensland University of Technology(QUT),Australia,through its Higher Degree Research Program,which played a crucial role in the successful completion of this research study
文摘Moisture accumulation within road pavements,particularly in unbound granular materials with or without thin sprayed seals,presents significant challenges in high-rainfall regions such as Queensland.This infiltration often leads to various forms of pavement distress,eventually causing irreversible damage to the pavement structure.The moisture content within pavements exhibits considerable dynamism and directly influenced by environmental factors such as precipitation,air temperature,and relative humidity.This variability underscores the importance of monitoring moisture changes using real-time climatic data to assess pavement conditions for operational management or incorporating these effects during pavement design based on historical climate data.Consequently,there is an increasing demand for advanced,technology-driven methodologies to predict moisture variations based on climatic inputs.Addressing this gap,the present study employs five traditional machine learning(ML)algorithms,K-nearest neighbors(KNN),regression trees,random forest,support vector machines(SVMs),and gaussian process regression(GPR),to forecast moisture levels within pavement layers over time,with varying algorithm complexities.Using data collected from an instrumented road in Brisbane,Australia,which includes pavement moisture and climatic factors,the study develops predictive models to forecast moisture content at future time steps.The approach incorporates current moisture content,rather than averaged values,along with seasonality(both daily and annual),and key climatic factors to predict next step moisture.Model performance is evaluated using R2,MSE,RMSE,and MAPE metrics.Results show that ML algorithms can reliably predict long-term moisture variations in pavements,provided optimal hyperparameters are selected for each algorithm.The best-performing algorithms include KNN(the number of neighbours equals to 15),medium regression tree,medium random forest,coarse SVM,and simple GPR,with medium random forest outperforming the others.The study also identifies the optimal hyperparameter combinations for each algorithm,offering significant advancements in moisture prediction tools for pavement technology。
文摘Fluoroscopic imaging is widely utilised for diagnostic and therapeutic procedures and is fundamental to the establishment and maintenance of dialysis vascular access.To optimise outcomes and avoid injury to patients and healthcare pro-viders,radiation technology must be applied effectively and safely in clinical practice.Radiation safety may be overlooked by nephrology training curricula.This narrative review discusses the theoretical and practical principles of radiation management in fluoroscopy-guided procedures and is intended as a primer for trainees and nephrologists working in interventional settings.
文摘The highly efficient electrochemical treatment technology for dye-polluted wastewater is one of hot research topics in industrial wastewater treatment.This study reported a three-dimensional electrochemical treatment process integrating graphite intercalation compound(GIC)adsorption,direct anodic oxidation,and·OH oxidation for decolourising Reactive Black 5(RB5)from aqueous solutions.The electrochemical process was optimised using the novel progressive central composite design-response surface methodology(CCD-NPRSM),hybrid artificial neural network-extreme gradient boosting(hybrid ANN-XGBoost),and classification and regression trees(CART).CCD-NPRSM and hybrid ANN-XGBoost were employed to minimise errors in evaluating the electrochemical process involving three manipulated operational parameters:current density,electrolysis(treatment)time,and initial dye concentration.The optimised decolourisation efficiencies were 99.30%,96.63%,and 99.14%for CCD-NPRSM,hybrid ANN-XGBoost,and CART,respectively,compared to the 98.46%RB5 removal rate observed experimentally under optimum conditions:approximately 20 mA/cm^(2) of current density,20 min of electrolysis time,and 65 mg/L of RB5.The optimised mineralisation efficiencies ranged between 89%and 92%for different models based on total organic carbon(TOC).Experimental studies confirmed that the predictive efficiency of optimised models ranked in the descending order of hybrid ANN-XGBoost,CCD-NPRSM,and CART.Model validation using analysis of variance(ANOVA)revealed that hybrid ANN-XGBoost had a mean squared error(MSE)and a coefficient of determination(R^(2))of approximately 0.014 and 0.998,respectively,for the RB5 removal efficiency,outperforming CCD-NPRSM with MSE and R^(2) of 0.518 and 0.998,respectively.Overall,the hybrid ANN-XGBoost approach is the most feasible technique for assessing the electrochemical treatment efficiency in RB5 dye wastewater decolourisation.
基金support from Queensland University of Technology,Brisbane,Queensland,Australiafinancial support from ARC Discovery Project(DP210103266).
文摘In this work,we have applied molybdenum(Mo)and titanium(Ti)co-doping to solve the degradation of Ni-rich cathodes.The modified cathode,i.e.,Li(Ni_(0.89)Co_(0.05)Mn_(0.05)Mo_(0.005)Ti_(0.005))O_(2) holds a stable structure with expanded crystal lattice distance which improves Li ion diffusion kinetics.The dopants have suppressed the growth of primary particles,formed a coating on the surface,and promoted the elongated morphology.Moreover,the mechanical strength of these particles has increased,as confirmed by the nanoindentation test,which can help suppress particle cracking.The detrimental H2-H3 phase transition has been postponed by 90 mV allowing the cathode to operate at a higher voltage.A better cycling stability over 100 cycles with 69%capacity retention has been observed.We believe this work points out a way to improve the cycling performance,Coulombic efficiency and capacity retention in Ni-rich cathodes.
基金supported by a National Health and Medical Research Council(NHMRC)Investigator Grant Emerging Leadership Level 1(Grant No.2017012).
文摘Purpose We aimed to investigate the effects of running shoe longitudinal bending stiffness(LBS)and midsole energy return on running economy and ankle mechanics and energetics.Methods PubMed,Scopus,SPORTDiscus,Embase,CINAHL,and Web of Science were systematically searched for this meta-analysis.Crossover studies comparing the effects of running shoe LBS and/or midsole energy return on at least 1 of the following outcomes:running economy,ankle plantarflexion moment,work,power,or angular velocity were included.Results Of the 2453 studies screened,48 were included(n=878).Results indicated that advanced footwear technologies(AFTs)significantly reduced oxygen consumption(standardized mean difference=–0.44,95%confidence interval:–0.60 to–0.28),p<0.001)as well as peak ankle moments and positive/negative ankle work and power.However,neither LBS nor midsole energy return alone significantly affected oxygen consumption,ankle moments,positive and negative work,or positive power.The effects of AFTs were moderated by the training status and speed of the runner.The quality of evidence for all outcomes were low or very low for all outcomes except the effect of LBS on negative ankle work.Conclusion AFT may improve running economy by minimizing ankle moments,work,and power.The absence of significant independent effects of LBS and midsole energy return suggests that the benefits of AFTs arise from the interaction of these properties.Further research is necessary to understand the mechanisms for improved running performance in AFTs.
基金the financial support from the Australian Research Council(DE220101354,DP240102891)Centre for Materials Science,Queensland University of Technologythe QUT supervisor scholarship and QUT HDR tuition fee sponsorship。
文摘While being a promising candidate for large-scale energy storage,the current market penetration of vanadium redox flow batteries(VRFBs)is still limited by several challenges.As one of the key components in VRFBs,a membrane is employed to separate the catholyte and anolyte to prevent the vanadium ions from cross-mixing while allowing the proton conduction to maintain charge balance in the system during operation.To overcome the weakness of commercial membranes,various types of membranes,ranging from ion exchange membranes with diverse functional groups to non-ionic porous membranes,have been designed and reported to achieve higher ionic conductivity while maintaining low vanadium ion permeability,thus enhancing efficiency.In addition,besides overall efficiency,stability and cost-effectiveness of the membrane are also critical aspects that determine the practical applicability of the membranes and thus VRFBs.In this article,we have offered comprehensive insights into the mechanism of ion transportation in membranes of VRFBs that contribute to the challenges and issues of VRFB applications.We have further discussed optimal strategies for solving the trade-off between the membrane efficiency and its durability in VRFB applications.The development of state-of-the-art membranes through various material and structure engineering is demonstrated to reveal the relationship of properties-structure-performance.
