Parkinson's disease is a neurodegenerative disorder marked by the degeneration of dopaminergic neurons and clinical symptoms such as tremors,rigidity,and slowed movements.A key feature of Parkinson's disease i...Parkinson's disease is a neurodegenerative disorder marked by the degeneration of dopaminergic neurons and clinical symptoms such as tremors,rigidity,and slowed movements.A key feature of Parkinson's disease is the accumulation of misfoldedα-synuclein,forming insoluble Lewy bodies in the substantia nigra pars compacta,which contributes to neurodegeneration.Theseα-synuclein aggregates may act as autoantigens,leading to T-cell-mediated neuroinflammation and contributing to dopaminergic cell death.Our perspective explores the hypothesis that Parkinson's disease may have an autoimmune component,highlighting research that connects peripheral immune responses with neurodegeneration.T cells derived from Parkinson's disease patients appear to have the potential to initiate an autoimmune response againstα-synuclein and its modified peptides,possibly leading to the formation of neo-epitopes.Recent evidence associates Parkinson's disease with abnormal immune responses,as indicated by increased levels of immune cells,such as CD4^(+)and CD8^(+)T cells,observed in both patients and mouse models.The convergence of T cells filtration increasing major histocompatibility complex molecules,and the susceptibility of dopaminergic neurons supports the hypothesis that Parkinson's disease may exhibit autoimmune characteristics.Understanding the immune mechanisms involved in Parkinson's disease will be crucial for developing therapeutic strategies that target the autoimmune aspects of the disease.Novel approaches,including precision medicine based on major histocompatibility complex/human leukocyte antigen typing and early biomarker identification,could pave the way for immune-based treatments aimed at slowing or halting disease progression.This perspective explores the relationship between autoimmunity and Parkinson's disease,suggesting that further research could deepen understanding and offer new therapeutic avenues.In this paper,it is organized to provide a comprehensive perspective on the autoimmune aspects of Parkinson's disease.It investigates critical areas such as the autoimmune response observed in Parkinson's disease patients and the role of autoimmune mechanisms targetingα-synuclein in Parkinson's disease.The paper also examines the impact of CD4~+T cells,specifically Th1 and Th17,on neurons through in vitro and ex vivo studies.Additionally,it explores howα-synuclein influences glia-induced neuroinflammation in Parkinson's disease.The discussion extends to the clinical implications and therapeutic landscape,offering insights into potential treatments.Consequently,we aim to provide a comprehensive perspective on the autoimmune aspects of Parkinson's disease,incorporating both supportive and opposing views on its classification as an autoimmune disorder and exploring implications for clinical applications.展开更多
Research on the occurrence of perfluorochemicals （PFCs） such as perfluorooctanesulfonic acid （PFOS） and perfluorooctanoic acid （PFOA） in the agricultural environment is lacking, in spite of their potential risk ...Research on the occurrence of perfluorochemicals （PFCs） such as perfluorooctanesulfonic acid （PFOS） and perfluorooctanoic acid （PFOA） in the agricultural environment is lacking, in spite of their potential risk via food chain transfer from aquatic and soil-plant systems to animals and/or humans. In the present study, for the first time, soil and water samples collected from 243 different agricultural sites adjacent to waste water treatment plants （WWTPs） belonging to 81 cities and 5 provinces with different levels of industrialization in South Korea were monitored for concentrations of PFOS and PFOA by use of solid phase extraction and liquid chromatography-tandem mass spectroscopy （LC-MS/MS）. Significant mean concentrations of PFOA （0.001-0.007 tJg L-1 water and 〈0.05-1.573 tJg kg-1 soil） and PFOS （0.001-0.22 tJg L-1 water and 〈0.05-0.741 pg kg-1 soil） were found in all samples. Concentrations of PFCs in soils were high, highlighting that soil is an important sink for PFCs in the agricultural environment. Samples from near WWTPs in Gyeongsang Province contained the highest concentrations of PFOS and PFOA, reflecting the concentration of heavy industry in the province. The concentrations of PFCs in agricultural water （most samples 〈0.05 pg L-~） and soils （most samples 〈1 IJg kg-~） from South Korea were less than acceptable guideline values, indicating that South Korea is not a hotspot of PFOS and PFOA contamination and that there is negligible risk to human and ecological health from these chemicals. However, further studies investigating the seasonal variation in PFOA, PFOS and other perfluorochemical concentrations in the agricultural environment are needed.展开更多
All-solid-state Li-S batteries(ASSLSBs)are more attractive owing to their achievable superior energy density at a reasonable cost and the solid electrolyte(SE)utilization mitigating the widely recognized polysulfide s...All-solid-state Li-S batteries(ASSLSBs)are more attractive owing to their achievable superior energy density at a reasonable cost and the solid electrolyte(SE)utilization mitigating the widely recognized polysulfide shuttle problem.While the volume expansion(~80%)that occurs during the initial transformation of sulfur to lithium sulfide induces mechanical stress,this can be avoided by using Li_(2)S as a cathode,which also permits the anode-free cell design.However,the high oxidation energy barrier of Li_(2)S cathode during the charging step limits its application in commercial devices.Redox mediators have been extensively used to reduce the oxidation energy barrier of Li_(2)S to the sulfur conversation and boost the reversible kinetics of the conversion reaction.In this review,we have summarized the available redox mediators for Li_(2)S cathode in ASSLSBs and its working mechanism.Moreover,we have proposed novel strategies and guidelines for designing effective redox mediators to boost the reversible conversion reaction.展开更多
High-performance lithium-ion batteries and sodium-ion batteries have been developed utilizing a hybrid anode material composed of zinc sulfide/sulfurized polyacrylonitrile.The in situ-generated zinc sulfide nanopartic...High-performance lithium-ion batteries and sodium-ion batteries have been developed utilizing a hybrid anode material composed of zinc sulfide/sulfurized polyacrylonitrile.The in situ-generated zinc sulfide nanoparticles serve as catalytic agents,significantly enhancing conductivity,shortening diffusion paths,and accelerating reaction kinetics.Simultaneously,the sulfurized polyacrylonitrile fibers form a three-dimensional matrix that not only provides a continuous network for rapid electron transfer but also prevents zinc sulfide nanoparticle aggregation and mitigates volume changes during charge-discharge cycles.Moreover,the heterointerface structure at the junction of zinc sulfide nanoparticles and the sulfurized polyacrylonitrile matrix increases the availability of active sites and facilitates both ion adsorption and electron transfer.As an anode material for lithium-ion batteries,the zinc sulfide/sulfurized polyacrylonitrile hybrid demonstrates a high reversible capacity of 1178 mAh g^(-1)after 100 cycles at a current density of 0.2 A g^(-1),maintaining a capacity of 788 mAh g^(-1)after 200 cycles at 1 A g^(-1).It also exhibits excellent sodium storage capabilities,retaining a capacity of 625 mAh g^(-1)after 150 cycles at 0.2 A g^(-1).Furthermore,ex-situ X-ray photoelectron spectroscopy,X-ray diffraction,7Li solid-state magic angle spinning nuclear magnetic resonance,and in situ Raman are employed to investigate the reaction mechanisms of the zinc sulfide/sulfurized polyacrylonitrile hybrid anode,providing valuable insights that pave the way for the advancement of hybrid anode materials in lithium-ion batteries and sodium-ion batteries.展开更多
Adversarial attacks pose a significant threat to artificial intelligence systems by exposing them to vulnerabilities in deep learning models.Existing defense mechanisms often suffer drawbacks,such as the need for mode...Adversarial attacks pose a significant threat to artificial intelligence systems by exposing them to vulnerabilities in deep learning models.Existing defense mechanisms often suffer drawbacks,such as the need for model retraining,significant inference time overhead,and limited effectiveness against specific attack types.Achieving perfect defense against adversarial attacks remains elusive,emphasizing the importance of mitigation strategies.In this study,we propose a defense mechanism that applies random cropping and Gaussian filtering to input images to mitigate the impact of adversarial attacks.First,the image was randomly cropped to vary its dimensions and then placed at the center of a fixed 299299 space,with the remaining areas filled with zero padding.Subsequently,Gaussian×filtering with a 77 kernel and a standard deviation of two was applied using a convolution operation.Finally,the×smoothed image was fed into the classification model.The proposed defense method consistently appeared in the upperright region across all attack scenarios,demonstrating its ability to preserve classification performance on clean images while significantly mitigating adversarial attacks.This visualization confirms that the proposed method is effective and reliable for defending against adversarial perturbations.Moreover,the proposed method incurs minimal computational overhead,making it suitable for real-time applications.Furthermore,owing to its model-agnostic nature,the proposed method can be easily incorporated into various neural network architectures,serving as a fundamental module for adversarial defense strategies.展开更多
Tracheal collapse(TC),defined by excessive tracheal collapsibility,often results in severe respiratory distress in small-breed dogs.Surgical intervention,including the placement of extraluminal stents,has been employe...Tracheal collapse(TC),defined by excessive tracheal collapsibility,often results in severe respiratory distress in small-breed dogs.Surgical intervention,including the placement of extraluminal stents,has been employed as a treatment option.Owing to the anatomical and physiological similarities between rabbit and canine tracheas,a rabbit model was utilized to develop a novel extraluminal silicone tracheal stent and evaluate its feasibility in treating tracheomalacia.The stent was surgically implanted in eight New Zealand White rabbits after the induction of tracheomalacia.Postoperative evaluations,including clinical assessment,radiography,computed tomography(CT),and histological analysis,were performed at 1,2,and 6 months post-implantation.All rabbits in the stent group survived without exhibiting signs of respiratory distress,whereas all rabbits in the tracheomalacia group experienced respiratory distress,with one succumbing to respiratory failure.Radiographic and CT evaluations confirmed that the stent effectively maintained airway patency,with tracheal measurements not significantly different from the preoperative values,indicating successful restora-tion of tracheal diameter.Histological analysis demonstrated minimal inflammatory response,the absence of fibrosis,and preserved structural integrity of the tracheal cartilage.Therefore,the novel extraluminal silicone tracheal stent provides effective airway support while minimizing adverse tissue reactions.Further studies,including the use of this stent in a canine TC model and assessment of its long-term outcomes,are warranted to explore its potential clinical applications in veterinary medicine.展开更多
Chronic kidney disease(CKD)affects a significant fraction of the global population and is closely associated with elevated cardiovascular risk and poor clinical outcomes.Its pathophysiology entails complex molecular a...Chronic kidney disease(CKD)affects a significant fraction of the global population and is closely associated with elevated cardiovascular risk and poor clinical outcomes.Its pathophysiology entails complex molecular and cellular disturbances,including reduced nitric oxide bioavailability,persistent low-grade inflammation,oxidative stress,endothelial dysfunction,altered mineral metabolism,genetic predispositions,and uremic toxin accumulation.As current pharmacological treatments provide only partial risk reduction,complementary approaches are imperative.Exercise training,both aerobic and resistance,has emerged as a potent non-pharmacological intervention targeting these underlying molecular pathways.Regular exercise can enhance nitric oxide signaling,improve antioxidant defenses,attenuate inflammation,facilitate endothelial repair via endothelial progenitor cells,and stabilize muscle metabolism.Additionally,accumulating evidence points to a genetic dimension in CKD susceptibility and progression.Variants in genes such as APOL1,PKD1,PKD2,UMOD,and COL4A3–5 shape disease onset and severity,and may modulate response to interventions.Exercise may help buffer these genetic risks by inducing epigenetic changes,improving mitochondrial function,and optimizing crosstalk between muscle,adipose tissue,and the vasculature.This review synthesizes how exercise training can ameliorate key molecular mediators in CKD,emphasizing the interplay with genetic and epigenetic factors.We integrate evidence from clinical and experimental studies,discussing how personalized exercise prescriptions,informed by patients’genetic backgrounds and nutritional strategies(such as adequate protein intake),could enhance outcomes.Although large-scale trials linking molecular adaptations to long-term endpoints are needed,current knowledge strongly supports incorporating exercise as a cornerstone in CKD management to counteract pervasive molecular derangements and leverage genetic insights for individualized care.展开更多
Scene graph prediction has emerged as a critical task in computer vision,focusing on transforming complex visual scenes into structured representations by identifying objects,their attributes,and the relationships amo...Scene graph prediction has emerged as a critical task in computer vision,focusing on transforming complex visual scenes into structured representations by identifying objects,their attributes,and the relationships among them.Extending this to 3D semantic scene graph(3DSSG)prediction introduces an additional layer of complexity because it requires the processing of point-cloud data to accurately capture the spatial and volumetric characteristics of a scene.A significant challenge in 3DSSG is the long-tailed distribution of object and relationship labels,causing certain classes to be severely underrepresented and suboptimal performance in these rare categories.To address this,we proposed a fusion prototypical network(FPN),which combines the strengths of conventional neural networks for 3DSSG with a Prototypical Network.The former are known for their ability to handle complex scene graph predictions while the latter excels in few-shot learning scenarios.By leveraging this fusion,our approach enhances the overall prediction accuracy and substantially improves the handling of underrepresented labels.Through extensive experiments using the 3DSSG dataset,we demonstrated that the FPN achieves state-of-the-art performance in 3D scene graph prediction as a single model and effectively mitigates the impact of the long-tailed distribution,providing a more balanced and comprehensive understanding of complex 3D environments.展开更多
Recent research on adversarial attacks has primarily focused on white-box attack techniques,with limited exploration of black-box attack methods.Furthermore,in many black-box research scenarios,it is assumed that the ...Recent research on adversarial attacks has primarily focused on white-box attack techniques,with limited exploration of black-box attack methods.Furthermore,in many black-box research scenarios,it is assumed that the output label and probability distribution can be observed without imposing any constraints on the number of attack attempts.Unfortunately,this disregard for the real-world practicality of attacks,particularly their potential for human detectability,has left a gap in the research landscape.Considering these limitations,our study focuses on using a similar color attack method,assuming access only to the output label,limiting the number of attack attempts to 100,and subjecting the attacks to human perceptibility testing.Through this approach,we demonstrated the effectiveness of black box attack techniques in deceiving models and achieved a success rate of 82.68%in deceiving humans.This study emphasizes the significance of research that addresses the challenge of deceiving both humans and models,highlighting the importance of real-world applicability.展开更多
To reduce the vibration of the Coaxial Helicopter Main Transmission System(CHMTS)considering both level and vertical flight conditions,a vibration evaluation and optimization model for the CHMTS was built.The vibratio...To reduce the vibration of the Coaxial Helicopter Main Transmission System(CHMTS)considering both level and vertical flight conditions,a vibration evaluation and optimization model for the CHMTS was built.The vibration simulation model of the CHMTS was set up by gear dynamics theory and loaded contact analysis.For better evaluation of the system vibration,a vibration evaluation method for the CHMTS was established by the G1 method-variation coefficient method.A hybrid Gravitational Search Algorithm-Simulated Annealing(GSA-SA)algorithm was combined to balance convergence speed and searching accuracy.The principle test was conducted to prove the accuracy of theoretical method,in which the maximum relative error is16.26%.The optional results show that the vibration of the optimized transmission system decreases significantly,in which the maximum reduction of key vibration indicators reaches more than 20%.The theoretical results have been compared to the experiment to verify the effectiveness of the vibration optimization method.The proposed method could be extended to other fields.展开更多
Senescence,a crucial developmental process in the life cycle of plants,involves programmed destruction of cellular components of leaves.The onset of senescence is synchronized with other developmental processes for su...Senescence,a crucial developmental process in the life cycle of plants,involves programmed destruction of cellular components of leaves.The onset of senescence is synchronized with other developmental processes for successful reproduction since senescence eventually leads to cell death.Arabinosyltransferase FASCIATED AND BRANCHED 2(FAB2)is known to control meristem proliferation.Here,we show that FAB2 could inhibit premature leaf senescence in tomato plants.Both chemically mutagenized and CRISPR-generated fab2 mutants exhibited excessively accelerated senescence,which resulted in sterility.Transcriptome analysis revealed that FAB2 extended leaf longevity by suppressing transcription of genes highly expressed in mature leaves.Transcription of FAB2 was increased in younger leaves,potentially inhibiting premature leaf senescence.The precocious senescence of fab2 mutants was in contrast to fasciated inflorescence(fin)mutants,which carried mutations in a hydroxyproline O-arabinosyltransferase gene,leading to meristem overproliferation.Our observations indicate that complex genetic hierarchy in the cascade of tomato arabinosyltransferases could control different aspects of developmental processes such as stem cell proliferation and senescence.展开更多
Since 2009,perovskite solar cells(PSCs)have advanced significantly,achieving over 26%efficiency for single-junction devices and exceeding 34%for silicon-perovskite tandem cells.Despite these successes,the weak adhesio...Since 2009,perovskite solar cells(PSCs)have advanced significantly,achieving over 26%efficiency for single-junction devices and exceeding 34%for silicon-perovskite tandem cells.Despite these successes,the weak adhesion of C_(60)to perovskite layers,due to van der Waals interactions,hinders long-term stability.In this study,we introduce electron-deficient intermolecular adhesives(EDIAs)as a novel interlayer material to enhance adhesion between perovskite and C_(60)layers.Comprehensive analyses,including density functional theory calculations,microscopy,and spectroscopy,demonstrate that EDIAs,particularly NDI-C9-Ace comprising of three key functionalities:aπ-electron-deficient arene core,a hydrophobic passivation core,and a secondary-bond anchoring core,significantly improve bonding strength and recombination passivation.This leads to enhanced efficiency as well as enhanced mechanical and photochemical stability in PSCs.Long-term stability tests further confirm the superior durability of EDIA-enhanced devices.This study highlights EDIA as a promising strategy for enhancing the robustness and efficiency of PSCs.展开更多
Achieving high-performance aqueous zinc-ion batteries requires addressing the challenges associated with the stability of zinc metal anodes,particularly the formation of inhomogeneous zinc dendrites during cycling and...Achieving high-performance aqueous zinc-ion batteries requires addressing the challenges associated with the stability of zinc metal anodes,particularly the formation of inhomogeneous zinc dendrites during cycling and unstable surface electrochemistry.This study introduces a practical method for scattering untreated bulk hexagonal boron nitride(h-BN)particles onto the zinc anode surface.During cycling,stabilized zinc fills the interstices of scattered h-BN,resulting in a more favorable(002)orientation.Consequently,zinc dendrite formation is effectively suppressed,leading to improved electrochemical stability.The zinc with scattered h-BN in a symmetric cell configuration maintains stability 10 times longer than the bare zinc symmetric cell,lasting 500 hours.Furthermore,in a full cell configuration withα-MnO_(2) cathode,increased H^(+)ion activity can effectively alter the major redox kinetics of cycling due to the presence of scattered h-BN on the zinc anode.This shift in H^(+)ion activity lowers the overall redox potential,resulting in a discharge capacity retention of 96.1%for 300 cycles at a charge/discharge rate of 0.5 Ag^(-1).This study highlights the crucial role of surface modification,and the innovative use of bulk h-BN provides a practical and effective solution for improving the performance and stability.展开更多
Nanosphere-like Li2FeSiO4/C was synthesized via a solution method using sucrose as carbon sources under a mild condition of time-saving and energy-saving, followed by sintering at high temperatures for crystallization...Nanosphere-like Li2FeSiO4/C was synthesized via a solution method using sucrose as carbon sources under a mild condition of time-saving and energy-saving, followed by sintering at high temperatures for crystallization. The amount of carbon in the composite is less than 10% （mass fraction）, and the X-ray diffraction result confirms that the sample is of pure single phase indexed with the orthorhombic Pmn21 space group. The particle size of the Li2FeSiO4/C synthesized at 700 °C for 9 h is very fine and spherical-like with a size of 200 nm. The electrochemical performance of this material, including reversible capacity, cycle number, and charge-discharge characteristics, were tested. The cell of this sample can deliver a discharge capacity of 166 mA-h/g at C/20 rate in the first three cycles. After 30 cycles, the capacity decreases to 158 mA-h/g, and the capacity retention is up to 95%. The results show that this method can prepare nanosphere-like Li2FeSiO4/C composite with good electrochemical performance.展开更多
Blueberry fruits from 45 commercial cultivars (39 northern highbush and 6 half highbush blueberry) grown in Suwon,Korea were analyzed for fruit size,soluble solids content,titratable acidity,total anthocyanin content,...Blueberry fruits from 45 commercial cultivars (39 northern highbush and 6 half highbush blueberry) grown in Suwon,Korea were analyzed for fruit size,soluble solids content,titratable acidity,total anthocyanin content,total phenolic content,and antioxidant activity.Fruit characteristics varied widely among the 45 blueberry cultivars.Fruit weight ranged from 0.9 to 3.6 g,soluble solids content from 8.3 to 14.3 °Brix,and titratable acidity from 0.8% to 3.6%.Antioxidant activity ranged from 0.7 to 2.1 mg of quercetin equivalents per gram of fresh berries in different blueberry cultivars.Among the 45 blueberry cultivars,high amounts of anthocyanins and polyphenols,and high antioxidant activity were observed in 'Elliott','Rubel','Rancocas',and 'Friendship'.展开更多
基金supported by the National Research Foundation of South Korea(2023R1A2C2004516,RS-2023-00219399 to SPY,and 2022R1I1A1A01063513 to MGJ)。
文摘Parkinson's disease is a neurodegenerative disorder marked by the degeneration of dopaminergic neurons and clinical symptoms such as tremors,rigidity,and slowed movements.A key feature of Parkinson's disease is the accumulation of misfoldedα-synuclein,forming insoluble Lewy bodies in the substantia nigra pars compacta,which contributes to neurodegeneration.Theseα-synuclein aggregates may act as autoantigens,leading to T-cell-mediated neuroinflammation and contributing to dopaminergic cell death.Our perspective explores the hypothesis that Parkinson's disease may have an autoimmune component,highlighting research that connects peripheral immune responses with neurodegeneration.T cells derived from Parkinson's disease patients appear to have the potential to initiate an autoimmune response againstα-synuclein and its modified peptides,possibly leading to the formation of neo-epitopes.Recent evidence associates Parkinson's disease with abnormal immune responses,as indicated by increased levels of immune cells,such as CD4^(+)and CD8^(+)T cells,observed in both patients and mouse models.The convergence of T cells filtration increasing major histocompatibility complex molecules,and the susceptibility of dopaminergic neurons supports the hypothesis that Parkinson's disease may exhibit autoimmune characteristics.Understanding the immune mechanisms involved in Parkinson's disease will be crucial for developing therapeutic strategies that target the autoimmune aspects of the disease.Novel approaches,including precision medicine based on major histocompatibility complex/human leukocyte antigen typing and early biomarker identification,could pave the way for immune-based treatments aimed at slowing or halting disease progression.This perspective explores the relationship between autoimmunity and Parkinson's disease,suggesting that further research could deepen understanding and offer new therapeutic avenues.In this paper,it is organized to provide a comprehensive perspective on the autoimmune aspects of Parkinson's disease.It investigates critical areas such as the autoimmune response observed in Parkinson's disease patients and the role of autoimmune mechanisms targetingα-synuclein in Parkinson's disease.The paper also examines the impact of CD4~+T cells,specifically Th1 and Th17,on neurons through in vitro and ex vivo studies.Additionally,it explores howα-synuclein influences glia-induced neuroinflammation in Parkinson's disease.The discussion extends to the clinical implications and therapeutic landscape,offering insights into potential treatments.Consequently,we aim to provide a comprehensive perspective on the autoimmune aspects of Parkinson's disease,incorporating both supportive and opposing views on its classification as an autoimmune disorder and exploring implications for clinical applications.
基金the support of the Research Program for Agricultural Science & Technology Development (PJ010896)the National Academy of Agricultural Science, Rural Development Administration, Republic of Korea
文摘Research on the occurrence of perfluorochemicals （PFCs） such as perfluorooctanesulfonic acid （PFOS） and perfluorooctanoic acid （PFOA） in the agricultural environment is lacking, in spite of their potential risk via food chain transfer from aquatic and soil-plant systems to animals and/or humans. In the present study, for the first time, soil and water samples collected from 243 different agricultural sites adjacent to waste water treatment plants （WWTPs） belonging to 81 cities and 5 provinces with different levels of industrialization in South Korea were monitored for concentrations of PFOS and PFOA by use of solid phase extraction and liquid chromatography-tandem mass spectroscopy （LC-MS/MS）. Significant mean concentrations of PFOA （0.001-0.007 tJg L-1 water and 〈0.05-1.573 tJg kg-1 soil） and PFOS （0.001-0.22 tJg L-1 water and 〈0.05-0.741 pg kg-1 soil） were found in all samples. Concentrations of PFCs in soils were high, highlighting that soil is an important sink for PFCs in the agricultural environment. Samples from near WWTPs in Gyeongsang Province contained the highest concentrations of PFOS and PFOA, reflecting the concentration of heavy industry in the province. The concentrations of PFCs in agricultural water （most samples 〈0.05 pg L-~） and soils （most samples 〈1 IJg kg-~） from South Korea were less than acceptable guideline values, indicating that South Korea is not a hotspot of PFOS and PFOA contamination and that there is negligible risk to human and ecological health from these chemicals. However, further studies investigating the seasonal variation in PFOA, PFOS and other perfluorochemical concentrations in the agricultural environment are needed.
基金supported by the“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(MOE)(2021RIS-003),South Koreasupported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.RS-2023-00241916),South Korea+4 种基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(IRIS RS-2024-00352303),South Koreathe results of a study on the“Leaders in Industry-university Cooperation 3.0”project,supported by the Ministry of Education and National Research Foundation of Korea,South Koreasupported by the Basic Science Research Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(2020R1A6A03038697),South Koreasupported by Learning&Academic research institution for Master’s PhD students,and Postdocs(LAMP)Program of the National Research Foundation of Korea(NRF)grant funded by the Ministry of Education(No.RS-2023-00301974),South Koreasupported by the Technology Innovation Program(RS-2024-00432013)funded By the Ministry of Trade,Industry&Energy(MOTIE,South Korea)。
文摘All-solid-state Li-S batteries(ASSLSBs)are more attractive owing to their achievable superior energy density at a reasonable cost and the solid electrolyte(SE)utilization mitigating the widely recognized polysulfide shuttle problem.While the volume expansion(~80%)that occurs during the initial transformation of sulfur to lithium sulfide induces mechanical stress,this can be avoided by using Li_(2)S as a cathode,which also permits the anode-free cell design.However,the high oxidation energy barrier of Li_(2)S cathode during the charging step limits its application in commercial devices.Redox mediators have been extensively used to reduce the oxidation energy barrier of Li_(2)S to the sulfur conversation and boost the reversible kinetics of the conversion reaction.In this review,we have summarized the available redox mediators for Li_(2)S cathode in ASSLSBs and its working mechanism.Moreover,we have proposed novel strategies and guidelines for designing effective redox mediators to boost the reversible conversion reaction.
基金supported by“regional innovation mega project”program through the Korea Innovation Foundation funded by Ministry of Science and ICT(Project Number:2023-DD-UP-0026)the Energy Technology Evaluation and Planning(KETEP)and the Ministry of Trade,Industry&Energy(MOTIE)(No.RS-2024-00509401,RS-2023-00217581)“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(MOE)(2021RIS-001).
文摘High-performance lithium-ion batteries and sodium-ion batteries have been developed utilizing a hybrid anode material composed of zinc sulfide/sulfurized polyacrylonitrile.The in situ-generated zinc sulfide nanoparticles serve as catalytic agents,significantly enhancing conductivity,shortening diffusion paths,and accelerating reaction kinetics.Simultaneously,the sulfurized polyacrylonitrile fibers form a three-dimensional matrix that not only provides a continuous network for rapid electron transfer but also prevents zinc sulfide nanoparticle aggregation and mitigates volume changes during charge-discharge cycles.Moreover,the heterointerface structure at the junction of zinc sulfide nanoparticles and the sulfurized polyacrylonitrile matrix increases the availability of active sites and facilitates both ion adsorption and electron transfer.As an anode material for lithium-ion batteries,the zinc sulfide/sulfurized polyacrylonitrile hybrid demonstrates a high reversible capacity of 1178 mAh g^(-1)after 100 cycles at a current density of 0.2 A g^(-1),maintaining a capacity of 788 mAh g^(-1)after 200 cycles at 1 A g^(-1).It also exhibits excellent sodium storage capabilities,retaining a capacity of 625 mAh g^(-1)after 150 cycles at 0.2 A g^(-1).Furthermore,ex-situ X-ray photoelectron spectroscopy,X-ray diffraction,7Li solid-state magic angle spinning nuclear magnetic resonance,and in situ Raman are employed to investigate the reaction mechanisms of the zinc sulfide/sulfurized polyacrylonitrile hybrid anode,providing valuable insights that pave the way for the advancement of hybrid anode materials in lithium-ion batteries and sodium-ion batteries.
基金supported by the Glocal University 30 Project Fund of Gyeongsang National University in 2025.
文摘Adversarial attacks pose a significant threat to artificial intelligence systems by exposing them to vulnerabilities in deep learning models.Existing defense mechanisms often suffer drawbacks,such as the need for model retraining,significant inference time overhead,and limited effectiveness against specific attack types.Achieving perfect defense against adversarial attacks remains elusive,emphasizing the importance of mitigation strategies.In this study,we propose a defense mechanism that applies random cropping and Gaussian filtering to input images to mitigate the impact of adversarial attacks.First,the image was randomly cropped to vary its dimensions and then placed at the center of a fixed 299299 space,with the remaining areas filled with zero padding.Subsequently,Gaussian×filtering with a 77 kernel and a standard deviation of two was applied using a convolution operation.Finally,the×smoothed image was fed into the classification model.The proposed defense method consistently appeared in the upperright region across all attack scenarios,demonstrating its ability to preserve classification performance on clean images while significantly mitigating adversarial attacks.This visualization confirms that the proposed method is effective and reliable for defending against adversarial perturbations.Moreover,the proposed method incurs minimal computational overhead,making it suitable for real-time applications.Furthermore,owing to its model-agnostic nature,the proposed method can be easily incorporated into various neural network architectures,serving as a fundamental module for adversarial defense strategies.
文摘Tracheal collapse(TC),defined by excessive tracheal collapsibility,often results in severe respiratory distress in small-breed dogs.Surgical intervention,including the placement of extraluminal stents,has been employed as a treatment option.Owing to the anatomical and physiological similarities between rabbit and canine tracheas,a rabbit model was utilized to develop a novel extraluminal silicone tracheal stent and evaluate its feasibility in treating tracheomalacia.The stent was surgically implanted in eight New Zealand White rabbits after the induction of tracheomalacia.Postoperative evaluations,including clinical assessment,radiography,computed tomography(CT),and histological analysis,were performed at 1,2,and 6 months post-implantation.All rabbits in the stent group survived without exhibiting signs of respiratory distress,whereas all rabbits in the tracheomalacia group experienced respiratory distress,with one succumbing to respiratory failure.Radiographic and CT evaluations confirmed that the stent effectively maintained airway patency,with tracheal measurements not significantly different from the preoperative values,indicating successful restora-tion of tracheal diameter.Histological analysis demonstrated minimal inflammatory response,the absence of fibrosis,and preserved structural integrity of the tracheal cartilage.Therefore,the novel extraluminal silicone tracheal stent provides effective airway support while minimizing adverse tissue reactions.Further studies,including the use of this stent in a canine TC model and assessment of its long-term outcomes,are warranted to explore its potential clinical applications in veterinary medicine.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(grant number:NRF-2022R1A2C1092743).
文摘Chronic kidney disease(CKD)affects a significant fraction of the global population and is closely associated with elevated cardiovascular risk and poor clinical outcomes.Its pathophysiology entails complex molecular and cellular disturbances,including reduced nitric oxide bioavailability,persistent low-grade inflammation,oxidative stress,endothelial dysfunction,altered mineral metabolism,genetic predispositions,and uremic toxin accumulation.As current pharmacological treatments provide only partial risk reduction,complementary approaches are imperative.Exercise training,both aerobic and resistance,has emerged as a potent non-pharmacological intervention targeting these underlying molecular pathways.Regular exercise can enhance nitric oxide signaling,improve antioxidant defenses,attenuate inflammation,facilitate endothelial repair via endothelial progenitor cells,and stabilize muscle metabolism.Additionally,accumulating evidence points to a genetic dimension in CKD susceptibility and progression.Variants in genes such as APOL1,PKD1,PKD2,UMOD,and COL4A3–5 shape disease onset and severity,and may modulate response to interventions.Exercise may help buffer these genetic risks by inducing epigenetic changes,improving mitochondrial function,and optimizing crosstalk between muscle,adipose tissue,and the vasculature.This review synthesizes how exercise training can ameliorate key molecular mediators in CKD,emphasizing the interplay with genetic and epigenetic factors.We integrate evidence from clinical and experimental studies,discussing how personalized exercise prescriptions,informed by patients’genetic backgrounds and nutritional strategies(such as adequate protein intake),could enhance outcomes.Although large-scale trials linking molecular adaptations to long-term endpoints are needed,current knowledge strongly supports incorporating exercise as a cornerstone in CKD management to counteract pervasive molecular derangements and leverage genetic insights for individualized care.
基金supported by the Glocal University 30 Project Fund of Gyeongsang National University in 2025.
文摘Scene graph prediction has emerged as a critical task in computer vision,focusing on transforming complex visual scenes into structured representations by identifying objects,their attributes,and the relationships among them.Extending this to 3D semantic scene graph(3DSSG)prediction introduces an additional layer of complexity because it requires the processing of point-cloud data to accurately capture the spatial and volumetric characteristics of a scene.A significant challenge in 3DSSG is the long-tailed distribution of object and relationship labels,causing certain classes to be severely underrepresented and suboptimal performance in these rare categories.To address this,we proposed a fusion prototypical network(FPN),which combines the strengths of conventional neural networks for 3DSSG with a Prototypical Network.The former are known for their ability to handle complex scene graph predictions while the latter excels in few-shot learning scenarios.By leveraging this fusion,our approach enhances the overall prediction accuracy and substantially improves the handling of underrepresented labels.Through extensive experiments using the 3DSSG dataset,we demonstrated that the FPN achieves state-of-the-art performance in 3D scene graph prediction as a single model and effectively mitigates the impact of the long-tailed distribution,providing a more balanced and comprehensive understanding of complex 3D environments.
基金supported by the Research Resurgence under the Glocal University 30 Project at Gyeongsang National University in 2024.
文摘Recent research on adversarial attacks has primarily focused on white-box attack techniques,with limited exploration of black-box attack methods.Furthermore,in many black-box research scenarios,it is assumed that the output label and probability distribution can be observed without imposing any constraints on the number of attack attempts.Unfortunately,this disregard for the real-world practicality of attacks,particularly their potential for human detectability,has left a gap in the research landscape.Considering these limitations,our study focuses on using a similar color attack method,assuming access only to the output label,limiting the number of attack attempts to 100,and subjecting the attacks to human perceptibility testing.Through this approach,we demonstrated the effectiveness of black box attack techniques in deceiving models and achieved a success rate of 82.68%in deceiving humans.This study emphasizes the significance of research that addresses the challenge of deceiving both humans and models,highlighting the importance of real-world applicability.
基金funded by the National Natural Science Foundation of China(No.52105060)the Special Transmission Project,China(No.KY-1044-2023-0458)。
文摘To reduce the vibration of the Coaxial Helicopter Main Transmission System(CHMTS)considering both level and vertical flight conditions,a vibration evaluation and optimization model for the CHMTS was built.The vibration simulation model of the CHMTS was set up by gear dynamics theory and loaded contact analysis.For better evaluation of the system vibration,a vibration evaluation method for the CHMTS was established by the G1 method-variation coefficient method.A hybrid Gravitational Search Algorithm-Simulated Annealing(GSA-SA)algorithm was combined to balance convergence speed and searching accuracy.The principle test was conducted to prove the accuracy of theoretical method,in which the maximum relative error is16.26%.The optional results show that the vibration of the optimized transmission system decreases significantly,in which the maximum reduction of key vibration indicators reaches more than 20%.The theoretical results have been compared to the experiment to verify the effectiveness of the vibration optimization method.The proposed method could be extended to other fields.
基金funded by National Research Foundation(NRF)of the Ministry of Science and ICT(MSIT),Republic of Korea(Grant Nos.2022R1C1C1002941,2020R1A2C1004273,2020R1A2C1101915)。
文摘Senescence,a crucial developmental process in the life cycle of plants,involves programmed destruction of cellular components of leaves.The onset of senescence is synchronized with other developmental processes for successful reproduction since senescence eventually leads to cell death.Arabinosyltransferase FASCIATED AND BRANCHED 2(FAB2)is known to control meristem proliferation.Here,we show that FAB2 could inhibit premature leaf senescence in tomato plants.Both chemically mutagenized and CRISPR-generated fab2 mutants exhibited excessively accelerated senescence,which resulted in sterility.Transcriptome analysis revealed that FAB2 extended leaf longevity by suppressing transcription of genes highly expressed in mature leaves.Transcription of FAB2 was increased in younger leaves,potentially inhibiting premature leaf senescence.The precocious senescence of fab2 mutants was in contrast to fasciated inflorescence(fin)mutants,which carried mutations in a hydroxyproline O-arabinosyltransferase gene,leading to meristem overproliferation.Our observations indicate that complex genetic hierarchy in the cascade of tomato arabinosyltransferases could control different aspects of developmental processes such as stem cell proliferation and senescence.
基金supported by National Research Foundation of Korea(NRF)(RS-2024-00336766 and RS-2023-00301974)support of the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2023-00220748)。
文摘Since 2009,perovskite solar cells(PSCs)have advanced significantly,achieving over 26%efficiency for single-junction devices and exceeding 34%for silicon-perovskite tandem cells.Despite these successes,the weak adhesion of C_(60)to perovskite layers,due to van der Waals interactions,hinders long-term stability.In this study,we introduce electron-deficient intermolecular adhesives(EDIAs)as a novel interlayer material to enhance adhesion between perovskite and C_(60)layers.Comprehensive analyses,including density functional theory calculations,microscopy,and spectroscopy,demonstrate that EDIAs,particularly NDI-C9-Ace comprising of three key functionalities:aπ-electron-deficient arene core,a hydrophobic passivation core,and a secondary-bond anchoring core,significantly improve bonding strength and recombination passivation.This leads to enhanced efficiency as well as enhanced mechanical and photochemical stability in PSCs.Long-term stability tests further confirm the superior durability of EDIA-enhanced devices.This study highlights EDIA as a promising strategy for enhancing the robustness and efficiency of PSCs.
基金supported by the Korean Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Korea Government(MOTIE)(RS-2023-00303581,Multiscale Simulation-Driven Development of Cost-Effective and Stable Aqueous Zn Ion Battery with Energy Density of 110 Wh/L for Energy Storage Systems:A Korea-USA Collaboration)。
文摘Achieving high-performance aqueous zinc-ion batteries requires addressing the challenges associated with the stability of zinc metal anodes,particularly the formation of inhomogeneous zinc dendrites during cycling and unstable surface electrochemistry.This study introduces a practical method for scattering untreated bulk hexagonal boron nitride(h-BN)particles onto the zinc anode surface.During cycling,stabilized zinc fills the interstices of scattered h-BN,resulting in a more favorable(002)orientation.Consequently,zinc dendrite formation is effectively suppressed,leading to improved electrochemical stability.The zinc with scattered h-BN in a symmetric cell configuration maintains stability 10 times longer than the bare zinc symmetric cell,lasting 500 hours.Furthermore,in a full cell configuration withα-MnO_(2) cathode,increased H^(+)ion activity can effectively alter the major redox kinetics of cycling due to the presence of scattered h-BN on the zinc anode.This shift in H^(+)ion activity lowers the overall redox potential,resulting in a discharge capacity retention of 96.1%for 300 cycles at a charge/discharge rate of 0.5 Ag^(-1).This study highlights the crucial role of surface modification,and the innovative use of bulk h-BN provides a practical and effective solution for improving the performance and stability.
基金Project supported by Ministry of Education Key Laboratory of Synthetic and Natural Functional Molecular Chemistry, China Project (2010JK765) supported by the Education Department of Shaanxi Province, China
文摘Nanosphere-like Li2FeSiO4/C was synthesized via a solution method using sucrose as carbon sources under a mild condition of time-saving and energy-saving, followed by sintering at high temperatures for crystallization. The amount of carbon in the composite is less than 10% （mass fraction）, and the X-ray diffraction result confirms that the sample is of pure single phase indexed with the orthorhombic Pmn21 space group. The particle size of the Li2FeSiO4/C synthesized at 700 °C for 9 h is very fine and spherical-like with a size of 200 nm. The electrochemical performance of this material, including reversible capacity, cycle number, and charge-discharge characteristics, were tested. The cell of this sample can deliver a discharge capacity of 166 mA-h/g at C/20 rate in the first three cycles. After 30 cycles, the capacity decreases to 158 mA-h/g, and the capacity retention is up to 95%. The results show that this method can prepare nanosphere-like Li2FeSiO4/C composite with good electrochemical performance.
文摘Blueberry fruits from 45 commercial cultivars (39 northern highbush and 6 half highbush blueberry) grown in Suwon,Korea were analyzed for fruit size,soluble solids content,titratable acidity,total anthocyanin content,total phenolic content,and antioxidant activity.Fruit characteristics varied widely among the 45 blueberry cultivars.Fruit weight ranged from 0.9 to 3.6 g,soluble solids content from 8.3 to 14.3 °Brix,and titratable acidity from 0.8% to 3.6%.Antioxidant activity ranged from 0.7 to 2.1 mg of quercetin equivalents per gram of fresh berries in different blueberry cultivars.Among the 45 blueberry cultivars,high amounts of anthocyanins and polyphenols,and high antioxidant activity were observed in 'Elliott','Rubel','Rancocas',and 'Friendship'.
