Antimony smelting activities damage the soil and vegetation surroundings while generating economic value.However,no standardizedmethods are available to diagnose the extent of soil degradation at antimony smelting sit...Antimony smelting activities damage the soil and vegetation surroundings while generating economic value.However,no standardizedmethods are available to diagnose the extent of soil degradation at antimony smelting sites.This study developed a standardized framework for assessing soil quality by consideringmicrobial-induced resilience and heavymetal contamination at Xikuangshan antimony smelting site.The soil resilience index(SRI)and soil contamination index(SCI)were calculated byMinimum Data Set and geo-accumulation model,respectively.After standardized by a multi-criteria quantitative procedure of modified Nemerow’s pollution index(NPI),the integrated assessment of soil quality index(SQI),which is the minimumof SRINPI and SCINPI,was achieved.The results showed that Sb and As were the prominent metal(loid)pollutants,and significant correlations between SQI and SRI indicated that the poor soil quality was mainly caused by the low level of soil resilience.The primary limiting factors of SRI were Fungi in high andmiddle contaminated areas,and Skermanella in low contaminated area,suggesting that the weak soil resilience was caused by low specific microbial abundances.Microbial regulation and phytoremediation are greatly required to improve the soil quality at antimony smelting sites from the perspectives of pollution control and resilience improvement.This study improves our understanding of ecological effects of antimony smelting sites and provides a theoretical basis for ecological restoration and sustainable development of mining areas.展开更多
Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergist...Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergistic drug combination discovery,their applications remain constrained by experimental data fragmentation,high costs,and extensive combinatorial space.Recent developments in artificial intelligence(AI),encompassing traditional machine learning and deep learning algorithms,have been extensively applied in NPDC identification.Through the integration of multi-source heterogeneous data and autonomous feature extraction,prediction accuracy has markedly improved,offering a robust technical approach for novel NPDC discovery.This review comprehensively examines recent advances in AI-driven NPDC prediction,presents relevant data resources and algorithmic frameworks,and evaluates current limitations and future prospects.AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.展开更多
BACKGROUND Regulator of G protein signaling(RGS)proteins participate in tumor formation and metastasis by acting on theα-subunit of heterotrimeric G proteins.The speci-fic effect of RGS,particularly RGS4,on the progr...BACKGROUND Regulator of G protein signaling(RGS)proteins participate in tumor formation and metastasis by acting on theα-subunit of heterotrimeric G proteins.The speci-fic effect of RGS,particularly RGS4,on the progression of gastric cancer(GC)is not yet clear.AIM To explore the role and underlying mechanisms of action of RGS4 in GC develop-ment.METHODS The prognostic significance of RGS4 in GC was analyzed using bioinformatics based public databases and verified by immunohistochemistry and quantitative polymerase chain reaction in 90 patients with GC.Function assays were employed to assess the carcinogenic impact of RGS4,and the mechanism of its possible influence was detected by western blot analysis.A nude mouse xenograft model was established to study the effects of RGS4 on GC growth in vitro.RESULTS RGS4 was highly expressed in GC tissues compared with matched adjacent normal tissues.Elevated RGS4 expression was correlated with increased tumor-node-metastasis stage,increased tumor grade as well as poorer overall survival in patients with GC.Cell experiments demonstrated that RGS4 knockdown suppressed GC cell proliferation,migration and invasion.Similarly,xenograft experiments confirmed that RGS4 silencing significantly inhibited tumor growth.Moreover,RGS4 knockdown resulted in reduced phosphorylation levels of focal adhesion kinase,phosphatidyl-inositol-3-kinase,and protein kinase B,decreased vimentin and N-cadherin,and elevated E-cadherin.CONCLUSION High RGS4 expression in GC indicates a worse prognosis and RGS4 is a prognostic marker.RGS4 influences tumor progression via the focal adhesion kinase/phosphatidyl-inositol-3-kinase/protein kinase B pathway and epithelial-mesenchymal transition.展开更多
Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation[1,2].The advent of artificial intelligence(AI)technologies,p...Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation[1,2].The advent of artificial intelligence(AI)technologies,particularly emerging generative AI and large language model,is reshaping this traditional paradigm,offering new avenues for efficiency,precision,and innovation[3].In this special issue,we present an overview of AI applications across the entire drug development workflow.Topics include novel molecule generation,drug–target and drug–drug interaction network prediction,molecular property optimization,pharmaceutical research,and related areas.展开更多
The connectivity of shale pores and the occurrence of movable oil in shales have long been the focus of research.In this study,samples from wells BX7 and BYY2 in the Eq3^4-10 cyclothem of Qianjiang Formation in the Qi...The connectivity of shale pores and the occurrence of movable oil in shales have long been the focus of research.In this study,samples from wells BX7 and BYY2 in the Eq3^4-10 cyclothem of Qianjiang Formation in the Qianjiang depression,were analyzed.A double mercury injection method was used to distinguish between invalid and effective connected pores.The pore characteristics for occurrence of retained hydrocarbons and movable shale oil were identified by comparing pore changes in low temperature nitrogen adsorption and high pressure mercury injection experiments before and after extraction and the change in the mercury injection amounts in the pores between two separate mercury injections.The results show that less than 50%of the total connected pores in the Eq34-10 cyclothem samples are effective.The development of effective connected pores affects the mobility of shale oil but varies with different lithofacies.The main factor limiting shale oil mobility in Well BX7 is the presence of pores with throat sizes less than 15 nm.In Well BYY2,residual mercury in injection testing of lamellar dolomitic mudstone facies was mainly concentrated in pores with throats of 10-200 nm,and in bulk argillaceous dolomite facies,it was mainly concentrated at 60-300 nm.The throats of hydrocarbon-retaining pores can be 5 nm or even smaller,but pores with movable shale oil in the well were found to have throat sizes greater than 40 nm.Excluding the influence of differences in wettability,the movability of shale oil is mainly affected by differences in lithofacies,the degree of pore deformation caused by diagenesis,the complexity of pore structures,and the connectivity of pore throats.Dissolution and reprecipitation of halite also inhibit the mobility of shale oil.展开更多
BACKGROUND Adolescence is a period marked by physiological and psychological imbalances,which pose an increased risk for adolescents with major depressive disorder(MDD)to commit non-suicidal self-injury(NSSI).AIM To i...BACKGROUND Adolescence is a period marked by physiological and psychological imbalances,which pose an increased risk for adolescents with major depressive disorder(MDD)to commit non-suicidal self-injury(NSSI).AIM To investigate the moderating role of social support utilization in depression and NSSI among adolescents with MDD.METHODS This cross-sectional study enrolled 314 adolescents with MDD(258 with NSSI,56 without)from a Chinese tertiary psychiatric hospital(2021-2023).Participants completed validated scales,including the self-esteem scale,the Barratt impulsiveness scale,the self-rating depression scale,and the teenager social support rating scale.Logistic regression and hierarchical regression analyses were used to examine predictors of NSSI and the moderating effect of social support utilization.RESULTS Results showed that the NSSI group had higher depression levels,lower selfesteem,and greater impulsivity.While overall social support was higher in the NSSI group,social support utilization significantly moderated the depression-NSSI relationship.Specifically,higher utilization levels weakened the association between depression and NSSI(β=-0.001,P<0.05).CONCLUSION These findings suggest that effective utilization of social support,rather than its mere presence,is crucial in reducing NSSI risk among depressed adolescents.展开更多
Sodium-ion batteries are the prominent device for stationary energy storage system and low-speed electric vehicles.However,the practical application is still limited by the unsatisfied performance and high cost of the...Sodium-ion batteries are the prominent device for stationary energy storage system and low-speed electric vehicles.However,the practical application is still limited by the unsatisfied performance and high cost of the cathode side,which strictly requires the development of high voltage,high capacity,and earth-abundant cathode material.Ni-Fe-Mn ternary layered oxide has been recognized as one of the most promising standard type of cathodes.However,the composition and phase structure on high-voltage characteristics have not been well investigated.Herein,selecting the typically high-voltage cathode of P2-Na_(0.67)Ni_(0.33)Mn_(0.67)O_(2)as a parent material,we fabricate ten Ni-Fe-Mn ternary layered oxides through replacing the Ni,Mn,or both Ni and Mn by Fe.The thermodynamically stable phase diagram for those materials is presented.The electrochemical properties for all the samples are investigated in detail.Three potential Ni-Fe-Mn ternary layered oxides are picked up considering the energy density,cycle stability,kinetics,cost price,and working voltage,which demonstrate great potential for surpassing the performance of lithium iron phosphate.The related electrochemical reaction and fading mechanism are well revealed.This work provides some new foundational Ni-Fe-Mn ternary layered materials for high-voltage sodium-ion batteries.展开更多
With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Alth...With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Although distributed streaming data processing frameworks such asApache Flink andApache Spark Streaming provide solutions,meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem.To address this,the study proposes a formal modeling approach based on Performance Evaluation Process Algebra(PEPA),which abstracts the core components and interactions of cloud-based distributed streaming data processing systems.Additionally,a generic service flow generation algorithmis introduced,enabling the automatic extraction of service flows fromthe PEPAmodel and the computation of key performance metrics,including response time,throughput,and resource utilization.The novelty of this work lies in the integration of PEPA-based formal modeling with the service flow generation algorithm,bridging the gap between formal modeling and practical performance evaluation for IoT systems.Simulation experiments demonstrate that optimizing the execution efficiency of components can significantly improve system performance.For instance,increasing the task execution rate from 10 to 100 improves system performance by 9.53%,while further increasing it to 200 results in a 21.58%improvement.However,diminishing returns are observed when the execution rate reaches 500,with only a 0.42%gain.Similarly,increasing the number of TaskManagers from 10 to 20 improves response time by 18.49%,but the improvement slows to 6.06% when increasing from 20 to 50,highlighting the importance of co-optimizing component efficiency and resource management to achieve substantial performance gains.This study provides a systematic framework for analyzing and optimizing the performance of IoT systems for large-scale real-time streaming data processing.The proposed approach not only identifies performance bottlenecks but also offers insights into improving system efficiency under different configurations and workloads.展开更多
Intrahepatic cholangiocarcinoma(ICC)is a primary liver malignancy with increasing global incidence and mortality rates.The 5-year overall survival rate for patients with ICC is approximately 9%.Surgical resection curr...Intrahepatic cholangiocarcinoma(ICC)is a primary liver malignancy with increasing global incidence and mortality rates.The 5-year overall survival rate for patients with ICC is approximately 9%.Surgical resection currently represents the only curative treatment option.However,due to the high aggressiveness,insidious onset,and atypical clinical presentation of ICC,many patients either miss the optimal surgical window or experience early postoperative recurrence and metastasis.This poses significant challenges for hepatobiliary surgeons worldwide.Artificial intelligence(AI),as a prominent driver of technological advancement,offers promising new avenues for managing ICC.By leveraging powerful machine learning and deep learning algorithms,AI has demonstrated promising outcomes in ICC diagnosis,particularly in differentiating it from hepatocellular carcinoma,and in predicting critical prognostic factors such as early recurrence,lymph node metastasis,and microvascular invasion.These innovations can support clinical decision-making and ultimately improve patient outcomes.Future efforts should prioritize robust clinical studies evaluating the effectiveness of AI in ICC management.展开更多
BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD)is defined by the abnormal lipid deposition in hepatocytes.The prevalence of MASLD is significantly increased in the elderly population,suggest...BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD)is defined by the abnormal lipid deposition in hepatocytes.The prevalence of MASLD is significantly increased in the elderly population,suggesting that aging may be related to the occurrence of MASLD.Emerging evidences suggest that vitamin D receptor(VDR)may be implicated in the progression of MASLD.Therefore,additional researches are warranted to elucidate whether VDR plays a role in aging-related MASLD.AIM To investigate the relationship between aging and MASLD and explore the role and related mechanisms of VDR in aging-related MASLD.METHODS Cellular senescence models were established,and the senescence phenotype of telomerase RNA component knockout mice was validated.These mice were then used as a senescence model for subsequent studies.Changes in VDR expression in the livers of aging mice were examined.VDR knockdown models,including cell knockdown models and hepatic-specific VDR knockout mice,were constructed,and MASLD was established in these models.Additionally,vitamin D(VD)-supplemented models,including senescent liver cell lines and senescent mice,were constructed.RESULTS The steatosis in senescent liver cells was more severe than in normal cells(P<0.05).Moreover,hepatic steatosis was significantly more pronounced in senescence model mice compared to control group when the MASLD model was successfully induced(P<0.05).Therefore,we concluded that aging aggravated hepatic steatosis.The hepatic expression of VDR increased after aging.VDR knockdown in senescent liver cells and senescent mice alleviated hepatic steatosis(P<0.05).When senescent liver cells were stimulated with VD,cellular steatosis was aggravated(P<0.05).However,VD supplementation had no effect on aging mice.CONCLUSION Aging can lead to increased hepatic steatosis,and the hepatic-specific knockdown of VDR alleviated aging-related MASLD.VDR could serve as a potential molecular target for aging-related MASLD.展开更多
Based on the nonlinear drift-diffusion(NLDD)model,the coupled behavior between the mechanical and electrical fields in piezoelectric semiconductor(PS)PN junctions under two typical loading conditions is investigated.T...Based on the nonlinear drift-diffusion(NLDD)model,the coupled behavior between the mechanical and electrical fields in piezoelectric semiconductor(PS)PN junctions under two typical loading conditions is investigated.The governing equations for the general shell structure of the PS PN junction are derived within the framework of virtual work principles and charge continuity conditions.The distributions of the electromechanical coupling field are obtained by the Fourier series expansion and the differential quadrature method(DQM),and the nonlinearity is addressed with the iterative method.Several numerical examples are presented to investigate the effects of mechanical loading on the charge carrier transport characteristics.It is found that the barrier height of the heterojunction can be effectively modulated by mechanical loading.Furthermore,a nonlinearity index is introduced to quantify the influence of nonlinearity in the model.It is noted that,when the concentration difference between the two sides is considerable,the nonlinear results differ significantly from the linear results,thereby necessitating the adoption of the NLDD model.展开更多
Lead(Pb)-zinc(Zn)slags contain large amounts of Pb,causing irreversible damage to the environment.Therefore,developing an effective strategy to extract Pb from Pb-Zn slags and convert them into a renewable high-value ...Lead(Pb)-zinc(Zn)slags contain large amounts of Pb,causing irreversible damage to the environment.Therefore,developing an effective strategy to extract Pb from Pb-Zn slags and convert them into a renewable high-value catalyst not only solves the energy crisis but also reduces environmental pollution.Herein,we present a viable strategy to recycle Pb and iron(Fe)from Pb-Zn slags for the fabrication of efficient methylammonium lead tri-iodide(r-MAPbI_(3))piezocatalysts with single-atom Fe-N_(4) sites.Intriguingly,atomically dispersed Fe sites from Pb-Zn slags,which coordinated with N in the neighboring four CH3NH3 to form the FeN_(4) configuration,were detected in the as-obtained r-MAPbI_(3) by synchrotron X-ray absorption spectroscopy.The introduction of Fe single atoms amplified the polarization of MAPbI_(3) and upshifted the d-band center of MAPbI_(3).This not only enhanced the piezoelectric response of MAPbI_(3) but also promoted the proton transfer during the hydrogen evolution process.Due to the decoration of Fe single atoms,r-MAPbI_(3) showed a pronounced H2 yield of 322.4μmol g^(−1) h^(−1),which was 2.52 times that of MAPbI_(3) synthesized using commercially available reagents.This simple yet robust strategy to manufactureMAPbI_(3) piezocatalysts paves a novel way to the large-scale and value-added consumption of Pb-containing waste residues.展开更多
The insufficient stability and poor surface reaction kinetics(i.e.,oxygen reduction reaction(ORR)and oxygen evolution reaction(OER))of air electrodes are significant factors hindering the development of reversible sol...The insufficient stability and poor surface reaction kinetics(i.e.,oxygen reduction reaction(ORR)and oxygen evolution reaction(OER))of air electrodes are significant factors hindering the development of reversible solid oxide cells(R-SOCs).The high-entropy strategy offers a new direction to optimize air electrodes.We introduce a high-entropy air electrode,(La_(0.12)Pr_(0.12)Nd_(0.12)Sm_(0.12)Gd_(0.12))Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)(LPNSGSrCF),demonstrating a low polarization resistance(0.15Ωcm^(2))and good durability(1.3×10^(-3)Ωcm^(2)h^(-1)),superior to those of La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)(0.31Ωcm^(2),2.0×10^(-3)Ωcm^(2)h^(-1))at 650℃.The elevated activity may be a result of the substantial concentration of oxygen vacancies and rapid reaction kinetics,as verified by X-ray photoelectron spectroscopy,electrochemical impedance spectroscopy,and distribution of relaxation times studies.Specifically,an R-SOC with LPNSGSrCF air electrode achieves a peak power density of 1.05 W cm^(-2)in fuel cell mode and a current density of0.89 A cm^(-2)at 1.3 V in electrolysis cell mode(with 30%H_(2)O)at 700℃.Moreover,the cells with LPNSGSrCF electrode can be stably operated in both modes for over 100 h.展开更多
基金supported by the National Key Research and Development Program of China (No.2019YFC1803604)the National Natural Science Foundation of China (Nos.42007306 and 42277193).
文摘Antimony smelting activities damage the soil and vegetation surroundings while generating economic value.However,no standardizedmethods are available to diagnose the extent of soil degradation at antimony smelting sites.This study developed a standardized framework for assessing soil quality by consideringmicrobial-induced resilience and heavymetal contamination at Xikuangshan antimony smelting site.The soil resilience index(SRI)and soil contamination index(SCI)were calculated byMinimum Data Set and geo-accumulation model,respectively.After standardized by a multi-criteria quantitative procedure of modified Nemerow’s pollution index(NPI),the integrated assessment of soil quality index(SQI),which is the minimumof SRINPI and SCINPI,was achieved.The results showed that Sb and As were the prominent metal(loid)pollutants,and significant correlations between SQI and SRI indicated that the poor soil quality was mainly caused by the low level of soil resilience.The primary limiting factors of SRI were Fungi in high andmiddle contaminated areas,and Skermanella in low contaminated area,suggesting that the weak soil resilience was caused by low specific microbial abundances.Microbial regulation and phytoremediation are greatly required to improve the soil quality at antimony smelting sites from the perspectives of pollution control and resilience improvement.This study improves our understanding of ecological effects of antimony smelting sites and provides a theoretical basis for ecological restoration and sustainable development of mining areas.
基金supported by National Natural Science Foundation of China(Nos.82404511,82373790)Central Guidance on Local Science and Technology Development Fund of Hebei Province(No.226Z2605G)Program for Young Scientists in the Field of Natural Science of Hebei Medical University(No.CYCZ2023011).
文摘Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergistic drug combination discovery,their applications remain constrained by experimental data fragmentation,high costs,and extensive combinatorial space.Recent developments in artificial intelligence(AI),encompassing traditional machine learning and deep learning algorithms,have been extensively applied in NPDC identification.Through the integration of multi-source heterogeneous data and autonomous feature extraction,prediction accuracy has markedly improved,offering a robust technical approach for novel NPDC discovery.This review comprehensively examines recent advances in AI-driven NPDC prediction,presents relevant data resources and algorithmic frameworks,and evaluates current limitations and future prospects.AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
基金Supported by the Fundamental Research Program of Shanxi Province,No.202203021222418Research Program of Shanxi Provincial Health Commission,No.2023061+2 种基金Fundamental Research Cooperation Program of Beijing-Tianjin-Hebei Region of Natural Science Foundation of Tianjin,No.22JCZXJC00140Tianjin Major Science and Technology Project,No.21ZXJBSY00110Tianjin Health and Science and Technology Project,No.TJWJ2024ZK001.
文摘BACKGROUND Regulator of G protein signaling(RGS)proteins participate in tumor formation and metastasis by acting on theα-subunit of heterotrimeric G proteins.The speci-fic effect of RGS,particularly RGS4,on the progression of gastric cancer(GC)is not yet clear.AIM To explore the role and underlying mechanisms of action of RGS4 in GC develop-ment.METHODS The prognostic significance of RGS4 in GC was analyzed using bioinformatics based public databases and verified by immunohistochemistry and quantitative polymerase chain reaction in 90 patients with GC.Function assays were employed to assess the carcinogenic impact of RGS4,and the mechanism of its possible influence was detected by western blot analysis.A nude mouse xenograft model was established to study the effects of RGS4 on GC growth in vitro.RESULTS RGS4 was highly expressed in GC tissues compared with matched adjacent normal tissues.Elevated RGS4 expression was correlated with increased tumor-node-metastasis stage,increased tumor grade as well as poorer overall survival in patients with GC.Cell experiments demonstrated that RGS4 knockdown suppressed GC cell proliferation,migration and invasion.Similarly,xenograft experiments confirmed that RGS4 silencing significantly inhibited tumor growth.Moreover,RGS4 knockdown resulted in reduced phosphorylation levels of focal adhesion kinase,phosphatidyl-inositol-3-kinase,and protein kinase B,decreased vimentin and N-cadherin,and elevated E-cadherin.CONCLUSION High RGS4 expression in GC indicates a worse prognosis and RGS4 is a prognostic marker.RGS4 influences tumor progression via the focal adhesion kinase/phosphatidyl-inositol-3-kinase/protein kinase B pathway and epithelial-mesenchymal transition.
基金supported by the National Natural Science Foundation of China(30572455,30973400,81071718,81000881)Program for New Century Excellent Talents in University,P.R.China(NCET-06-0685)Department of Science and Technology of Hunan Province,P.R.China(2009WK3060)
文摘Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation[1,2].The advent of artificial intelligence(AI)technologies,particularly emerging generative AI and large language model,is reshaping this traditional paradigm,offering new avenues for efficiency,precision,and innovation[3].In this special issue,we present an overview of AI applications across the entire drug development workflow.Topics include novel molecule generation,drug–target and drug–drug interaction network prediction,molecular property optimization,pharmaceutical research,and related areas.
基金supported by the National Natural Science Foundation of China(No.U19B6003)。
文摘The connectivity of shale pores and the occurrence of movable oil in shales have long been the focus of research.In this study,samples from wells BX7 and BYY2 in the Eq3^4-10 cyclothem of Qianjiang Formation in the Qianjiang depression,were analyzed.A double mercury injection method was used to distinguish between invalid and effective connected pores.The pore characteristics for occurrence of retained hydrocarbons and movable shale oil were identified by comparing pore changes in low temperature nitrogen adsorption and high pressure mercury injection experiments before and after extraction and the change in the mercury injection amounts in the pores between two separate mercury injections.The results show that less than 50%of the total connected pores in the Eq34-10 cyclothem samples are effective.The development of effective connected pores affects the mobility of shale oil but varies with different lithofacies.The main factor limiting shale oil mobility in Well BX7 is the presence of pores with throat sizes less than 15 nm.In Well BYY2,residual mercury in injection testing of lamellar dolomitic mudstone facies was mainly concentrated in pores with throats of 10-200 nm,and in bulk argillaceous dolomite facies,it was mainly concentrated at 60-300 nm.The throats of hydrocarbon-retaining pores can be 5 nm or even smaller,but pores with movable shale oil in the well were found to have throat sizes greater than 40 nm.Excluding the influence of differences in wettability,the movability of shale oil is mainly affected by differences in lithofacies,the degree of pore deformation caused by diagenesis,the complexity of pore structures,and the connectivity of pore throats.Dissolution and reprecipitation of halite also inhibit the mobility of shale oil.
基金Jiangsu Province Social Development Project,No.BE2022735Jiangsu Innovative and Entrepreneurial Talent Programme,No.JSSCBS20211584+1 种基金Suzhou Clinical Key Disciplines for Geriatric Psychiatry,No.SZXK202116Suzhou Science and Technology Program Projects,No.SKY2023075,No.SYWD2024037 and No.MSXM2024032.
文摘BACKGROUND Adolescence is a period marked by physiological and psychological imbalances,which pose an increased risk for adolescents with major depressive disorder(MDD)to commit non-suicidal self-injury(NSSI).AIM To investigate the moderating role of social support utilization in depression and NSSI among adolescents with MDD.METHODS This cross-sectional study enrolled 314 adolescents with MDD(258 with NSSI,56 without)from a Chinese tertiary psychiatric hospital(2021-2023).Participants completed validated scales,including the self-esteem scale,the Barratt impulsiveness scale,the self-rating depression scale,and the teenager social support rating scale.Logistic regression and hierarchical regression analyses were used to examine predictors of NSSI and the moderating effect of social support utilization.RESULTS Results showed that the NSSI group had higher depression levels,lower selfesteem,and greater impulsivity.While overall social support was higher in the NSSI group,social support utilization significantly moderated the depression-NSSI relationship.Specifically,higher utilization levels weakened the association between depression and NSSI(β=-0.001,P<0.05).CONCLUSION These findings suggest that effective utilization of social support,rather than its mere presence,is crucial in reducing NSSI risk among depressed adolescents.
基金financially supported by the National Natural Science Foundation of China(Grant No.52402215)the Anhui Provincial Natural Science Foundation(2408085QB036)+1 种基金the Natural Science Research Project of Anhui Province Education Department(Grant Nos.2022AH050334,2022AH030046,2023AH051119)the Scientific Research Foundation of Anhui University of Technology for Talent Introduction(DT2200001211)。
文摘Sodium-ion batteries are the prominent device for stationary energy storage system and low-speed electric vehicles.However,the practical application is still limited by the unsatisfied performance and high cost of the cathode side,which strictly requires the development of high voltage,high capacity,and earth-abundant cathode material.Ni-Fe-Mn ternary layered oxide has been recognized as one of the most promising standard type of cathodes.However,the composition and phase structure on high-voltage characteristics have not been well investigated.Herein,selecting the typically high-voltage cathode of P2-Na_(0.67)Ni_(0.33)Mn_(0.67)O_(2)as a parent material,we fabricate ten Ni-Fe-Mn ternary layered oxides through replacing the Ni,Mn,or both Ni and Mn by Fe.The thermodynamically stable phase diagram for those materials is presented.The electrochemical properties for all the samples are investigated in detail.Three potential Ni-Fe-Mn ternary layered oxides are picked up considering the energy density,cycle stability,kinetics,cost price,and working voltage,which demonstrate great potential for surpassing the performance of lithium iron phosphate.The related electrochemical reaction and fading mechanism are well revealed.This work provides some new foundational Ni-Fe-Mn ternary layered materials for high-voltage sodium-ion batteries.
基金funded by the Joint Project of Industry-University-Research of Jiangsu Province(Grant:BY20231146).
文摘With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Although distributed streaming data processing frameworks such asApache Flink andApache Spark Streaming provide solutions,meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem.To address this,the study proposes a formal modeling approach based on Performance Evaluation Process Algebra(PEPA),which abstracts the core components and interactions of cloud-based distributed streaming data processing systems.Additionally,a generic service flow generation algorithmis introduced,enabling the automatic extraction of service flows fromthe PEPAmodel and the computation of key performance metrics,including response time,throughput,and resource utilization.The novelty of this work lies in the integration of PEPA-based formal modeling with the service flow generation algorithm,bridging the gap between formal modeling and practical performance evaluation for IoT systems.Simulation experiments demonstrate that optimizing the execution efficiency of components can significantly improve system performance.For instance,increasing the task execution rate from 10 to 100 improves system performance by 9.53%,while further increasing it to 200 results in a 21.58%improvement.However,diminishing returns are observed when the execution rate reaches 500,with only a 0.42%gain.Similarly,increasing the number of TaskManagers from 10 to 20 improves response time by 18.49%,but the improvement slows to 6.06% when increasing from 20 to 50,highlighting the importance of co-optimizing component efficiency and resource management to achieve substantial performance gains.This study provides a systematic framework for analyzing and optimizing the performance of IoT systems for large-scale real-time streaming data processing.The proposed approach not only identifies performance bottlenecks but also offers insights into improving system efficiency under different configurations and workloads.
基金Supported by National Natural Science Foundation of China,No.81902499 and No.81874205Key Research Project of Tongji Hospital Scientific Research Fund,No.2023A18.
文摘Intrahepatic cholangiocarcinoma(ICC)is a primary liver malignancy with increasing global incidence and mortality rates.The 5-year overall survival rate for patients with ICC is approximately 9%.Surgical resection currently represents the only curative treatment option.However,due to the high aggressiveness,insidious onset,and atypical clinical presentation of ICC,many patients either miss the optimal surgical window or experience early postoperative recurrence and metastasis.This poses significant challenges for hepatobiliary surgeons worldwide.Artificial intelligence(AI),as a prominent driver of technological advancement,offers promising new avenues for managing ICC.By leveraging powerful machine learning and deep learning algorithms,AI has demonstrated promising outcomes in ICC diagnosis,particularly in differentiating it from hepatocellular carcinoma,and in predicting critical prognostic factors such as early recurrence,lymph node metastasis,and microvascular invasion.These innovations can support clinical decision-making and ultimately improve patient outcomes.Future efforts should prioritize robust clinical studies evaluating the effectiveness of AI in ICC management.
基金Supported by the National Natural Science Foundation of China,No.820300089.
文摘BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD)is defined by the abnormal lipid deposition in hepatocytes.The prevalence of MASLD is significantly increased in the elderly population,suggesting that aging may be related to the occurrence of MASLD.Emerging evidences suggest that vitamin D receptor(VDR)may be implicated in the progression of MASLD.Therefore,additional researches are warranted to elucidate whether VDR plays a role in aging-related MASLD.AIM To investigate the relationship between aging and MASLD and explore the role and related mechanisms of VDR in aging-related MASLD.METHODS Cellular senescence models were established,and the senescence phenotype of telomerase RNA component knockout mice was validated.These mice were then used as a senescence model for subsequent studies.Changes in VDR expression in the livers of aging mice were examined.VDR knockdown models,including cell knockdown models and hepatic-specific VDR knockout mice,were constructed,and MASLD was established in these models.Additionally,vitamin D(VD)-supplemented models,including senescent liver cell lines and senescent mice,were constructed.RESULTS The steatosis in senescent liver cells was more severe than in normal cells(P<0.05).Moreover,hepatic steatosis was significantly more pronounced in senescence model mice compared to control group when the MASLD model was successfully induced(P<0.05).Therefore,we concluded that aging aggravated hepatic steatosis.The hepatic expression of VDR increased after aging.VDR knockdown in senescent liver cells and senescent mice alleviated hepatic steatosis(P<0.05).When senescent liver cells were stimulated with VD,cellular steatosis was aggravated(P<0.05).However,VD supplementation had no effect on aging mice.CONCLUSION Aging can lead to increased hepatic steatosis,and the hepatic-specific knockdown of VDR alleviated aging-related MASLD.VDR could serve as a potential molecular target for aging-related MASLD.
基金supported by the National Key Research and Development Program of China(No.2023YFE0111000)the National Natural Science Foundation of China(Nos.12372151,12302200,12172171,12172183,and U24A2005)+6 种基金the Natural Science Foundation of Jiangsu Province of China(No.BK20230873)the China Postdoctoral Science Foundation(No.2023M731671)the Jiangsu Funding Program for Excellent Postdoctoral Talent(No.2023ZB156)the Shenzhen Science and Technology Program(No.JCYJ20230807142004009)the Jiangsu Association for Science&Technology Youth Science&Technology Talents Lifting Projectthe Russian Ministry of Science and Higher Education(No.075-15-2023-580)the Shenzhen Longhua Science and Technology Innovation Special Funding(Industrial Sci-Tech Innovation Center of Low-Altitude Intelligent Networking)。
文摘Based on the nonlinear drift-diffusion(NLDD)model,the coupled behavior between the mechanical and electrical fields in piezoelectric semiconductor(PS)PN junctions under two typical loading conditions is investigated.The governing equations for the general shell structure of the PS PN junction are derived within the framework of virtual work principles and charge continuity conditions.The distributions of the electromechanical coupling field are obtained by the Fourier series expansion and the differential quadrature method(DQM),and the nonlinearity is addressed with the iterative method.Several numerical examples are presented to investigate the effects of mechanical loading on the charge carrier transport characteristics.It is found that the barrier height of the heterojunction can be effectively modulated by mechanical loading.Furthermore,a nonlinearity index is introduced to quantify the influence of nonlinearity in the model.It is noted that,when the concentration difference between the two sides is considerable,the nonlinear results differ significantly from the linear results,thereby necessitating the adoption of the NLDD model.
基金supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.52121004,U23B20166)Guangdong Basic and Applied Basic Research Foundation(2024A1515030039,2025A1515010312).
文摘Lead(Pb)-zinc(Zn)slags contain large amounts of Pb,causing irreversible damage to the environment.Therefore,developing an effective strategy to extract Pb from Pb-Zn slags and convert them into a renewable high-value catalyst not only solves the energy crisis but also reduces environmental pollution.Herein,we present a viable strategy to recycle Pb and iron(Fe)from Pb-Zn slags for the fabrication of efficient methylammonium lead tri-iodide(r-MAPbI_(3))piezocatalysts with single-atom Fe-N_(4) sites.Intriguingly,atomically dispersed Fe sites from Pb-Zn slags,which coordinated with N in the neighboring four CH3NH3 to form the FeN_(4) configuration,were detected in the as-obtained r-MAPbI_(3) by synchrotron X-ray absorption spectroscopy.The introduction of Fe single atoms amplified the polarization of MAPbI_(3) and upshifted the d-band center of MAPbI_(3).This not only enhanced the piezoelectric response of MAPbI_(3) but also promoted the proton transfer during the hydrogen evolution process.Due to the decoration of Fe single atoms,r-MAPbI_(3) showed a pronounced H2 yield of 322.4μmol g^(−1) h^(−1),which was 2.52 times that of MAPbI_(3) synthesized using commercially available reagents.This simple yet robust strategy to manufactureMAPbI_(3) piezocatalysts paves a novel way to the large-scale and value-added consumption of Pb-containing waste residues.
基金supported by the National Key R&D Program of China(2022YFB4003601)the National Natural Science Foundation of China(22179039)+4 种基金the Introduced Innovative R&D Team of Guangdong(2021ZT09L392)the Guangzhou Science and Technology Project(2024A04J3079)the Guangdong Basic and Applied Basic Research Foundation(2024A1515010448)the Pearl River Talent Recruitment Program(2019QN01C693)Zijin Mining Group Co.,Ltd(5405-ZC-2023-00008).
文摘The insufficient stability and poor surface reaction kinetics(i.e.,oxygen reduction reaction(ORR)and oxygen evolution reaction(OER))of air electrodes are significant factors hindering the development of reversible solid oxide cells(R-SOCs).The high-entropy strategy offers a new direction to optimize air electrodes.We introduce a high-entropy air electrode,(La_(0.12)Pr_(0.12)Nd_(0.12)Sm_(0.12)Gd_(0.12))Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)(LPNSGSrCF),demonstrating a low polarization resistance(0.15Ωcm^(2))and good durability(1.3×10^(-3)Ωcm^(2)h^(-1)),superior to those of La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)(0.31Ωcm^(2),2.0×10^(-3)Ωcm^(2)h^(-1))at 650℃.The elevated activity may be a result of the substantial concentration of oxygen vacancies and rapid reaction kinetics,as verified by X-ray photoelectron spectroscopy,electrochemical impedance spectroscopy,and distribution of relaxation times studies.Specifically,an R-SOC with LPNSGSrCF air electrode achieves a peak power density of 1.05 W cm^(-2)in fuel cell mode and a current density of0.89 A cm^(-2)at 1.3 V in electrolysis cell mode(with 30%H_(2)O)at 700℃.Moreover,the cells with LPNSGSrCF electrode can be stably operated in both modes for over 100 h.
