Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has b...Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.展开更多
Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their us...Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their use in wearable devices.To overcome this,recent research by X.Liu et al.presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network.This system enables accurate,realtime depth mapping even in complex environments,enhancing potential applications in augmented reality,robotics,and autonomous systems.展开更多
Wenhao Wang and colleagues summarized the latest advancements in structural color research in Opto-Electronic Science. Their review explored the fundamental principles and fabrication methods of structural colors for ...Wenhao Wang and colleagues summarized the latest advancements in structural color research in Opto-Electronic Science. Their review explored the fundamental principles and fabrication methods of structural colors for photonic applications, including anti-counterfeiting, displays, sensors, and printing, along with their practical limitations. Recently, structural colors have received growing interest due to their advantages, including physical and chemical robustness, ecofriendliness, tunability, and high-resolution color.展开更多
The scale mismatch between nanoscale biomolecules and sub-wavelength light hinders circular dichroism(CD)spectroscopy for chiral small molecule sensing.In this study,we propose a high quality-factor(Q-factor)optical c...The scale mismatch between nanoscale biomolecules and sub-wavelength light hinders circular dichroism(CD)spectroscopy for chiral small molecule sensing.In this study,we propose a high quality-factor(Q-factor)optical cavity that offers a breakthrough solution to the intrinsic trade-off between optical chirality density and mode loss.A spin-preserving chiral metasurface utilizes bound states in the continuum(BIC)-guided mode resonance(GMR)degenerate modes to achieve a high Q-factor,while ensuring the preservation of chirality purity for circularly polarized light propagating within the cavity via spin-locking mechanism.Experimental results demonstrate that the BIC-GMR degenerate state enables near-perfect transmission CD up to 0.99,without requiring symmetry breaking.Full-wave simulations further predict that this synergistically enhanced system can achieve a Q-factor as high as 10037 and generate a localized field in the molecular interaction region with an optical chirality density enhancement of up to 400-fold,leading to 5025-fold amplification of the CD signal.This study establishes a foundation for detecting low-concentration chiral molecules,reveals high-Q enhancement,and advances chiral toward single-molecule sensitivity,opening new research avenues in chiral biosensing.展开更多
Background:Parkinson’s disease(PD)is a common neurodegenerative disease,characterized by symptoms like tremors,muscle rigidity,and slowmovement.Themain cause of these symptoms is the loss of dopamineproducing neurons...Background:Parkinson’s disease(PD)is a common neurodegenerative disease,characterized by symptoms like tremors,muscle rigidity,and slowmovement.Themain cause of these symptoms is the loss of dopamineproducing neurons in a brain area called the substantia nigra.Various genetic and environmental factors contribute to this neuronal loss.Once symptoms of PD begin,they worsen with age,which also impacts several critical cellular processes.Leucine-rich repeat kinase 2(LRRK2)is a gene associated with PD.Certain mutations in LRRK2,such as G2019S,increase its activity,disrupting cellular mechanisms necessary for healthy neuron function,including autophagy and lysosomal activity.Exposure to rotenone(RTN)promotes LRRK2 activity in neurons and contributes to cellular senescence andα-syn accumulation.Methods:In this study,human dopaminergic progenitor cells were reprogrammed to study the effects of RTN with the co-treatment of LRRK2 inhibitor on cellular senescence.We measured the cellular senescence using quantifying proteins of senescence markers,such as p53,p21,Rb,phosphorylated Rb,andβ-galatocidase,and the enzymatic activity of senescence-associatedβ-galatocidase.And we estimated the levels of accumulatedα-synuclein(α-syn),which is increased via the impaired autophagy-lysosomal pathway by cellular senescence.Then,we evaluated the association of the G2019S LRRK2 mutation and senescence-associatedβ-galatocidase and the levels of accumulated or secretedα-syn,and the neuroinflammatory responses mediated by the secretedα-syn in rat primary microglia were determined using the release of pro-inflammatory cytokines.Results:RTN raised senescence markers and affected the phosphorylation of Rab10,a substrate of LRRK2.The inhibiting agent MLI2 reduced these senescence markers and Rab10 phosphorylations.Additionally,RTN increasedα-syn levels in the neurons,while MLI2 aided in degrading it.When focusing on cells from PD patients with the G2019S mutation,an increase in cellular senescence and release ofα-syn was observed,provoking neuroinflammation.Treatment with the LRRK2 inhibitor MLI2 decreased both cellular senescence andα-syn secretion,thereby mitigating inflammatory responses.Conclusion:Overall,inhibiting LRRK2 may provide a beneficial strategy formanaging PD.展开更多
Device fabrication is increasing with the importance of functional materials for industrial applications.To fulfil increasing demands,rare earth elementbased materials have become important.In particular,lanthanum(La)...Device fabrication is increasing with the importance of functional materials for industrial applications.To fulfil increasing demands,rare earth elementbased materials have become important.In particular,lanthanum(La) and La-based materials have garnered attention in recent years due to their versatile properties and wide range of potential applications.This critical review provides a comprehensive overview of the advancements in the utilization of La and its compounds across various fields.In the realm of sensing and biosensing,La-based materials exhibit better sensitivity and selectivity,indicating their suitability for detecting environmental pollutants and biomolecules.The review also explores their role in supercapacitors,where their unique electrochemical properties contribute to enhanced performance and stability.Furthermore,the catalytic properties of La compounds are highlighted in water-splitting applications,emphasizing their efficiency in oxygen and hydrogen production.The biomedical applications of Labased materials are also examined,focusing on their biocompatibility and potential in drug delivery and medical imaging.This review aims to provide a critical analysis of the current state of research,identify challenges,and suggest future directions for the development and application of La and La-based materials in these diverse fields.展开更多
The atomically thin nature of two-dimensional(2D)layered materials makes them susceptible to charge trapping by randomly created disorders,adversely affecting carrier dynamics such as charge transport and exciton life...The atomically thin nature of two-dimensional(2D)layered materials makes them susceptible to charge trapping by randomly created disorders,adversely affecting carrier dynamics such as charge transport and exciton lifetime.Typically,these disorders lead to poor device performance or require additional space to mitigate performance degradation.In this study,we investigate 2D layered Dion–Jacobson(DJ)-phase oxide perovskite nanosheets,which exhibit charge trapping within their well-defined quantum well(QW)structures,resulting in unique tailoring of electrical conductivity and photoconductivity.These DJ-phase perovskites,composed of tunable atomic constituents,demonstrate resonant tunneling and anomalous charge trapping due to their ultra-clean QWs.Remarkably,the conductivity of insulating HSr_(2)Nb_(3)O_(10)(HSNO)increased over 1000 times upon applying voltage without additional treatments.We observed persistent photoconductivity in 2D vertical heterostructure devices,attributed to charge trapping in QWs,and demonstrated artificial synaptic behaviours in a single flake with tailored energy consumption.Varying the number of perovskite layers significantly allows the tunability of the energy bandgap.This study also highlights the high tunability of 2D perovskite nanosheets,promising various applications,including magnetic,high-k dielectric,and resistive switching devices.Our findings suggest a new class of ionic layered materials with great potential as novel two-dimensional building blocks for device applications.展开更多
Nanostructured iron oxyhydroxide（Fe OOH） thin films have been synthesized using an electrodeposition method on a nickel foam（NF） substrate and effect of air annealing temperature on the catalytic performance is st...Nanostructured iron oxyhydroxide（Fe OOH） thin films have been synthesized using an electrodeposition method on a nickel foam（NF） substrate and effect of air annealing temperature on the catalytic performance is studied. The as-deposited and annealed thin films were characterized by X-ray diffraction（XRD）,X-ray photoelectron spectroscopy（XPS）, field emission scanning electron microscopy（FE-SEM） and linear sweep voltammetry（LSV） to determine their structural, morphological, compositional and electrochemical properties, respectively. The as-deposited nanostructured amorphous Fe OOH thin film is converted into a polycrystalline Fe;O;with hematite crystal structure at a high temperature. The Fe OOH thin film acts as an efficient electrocatalyst for the oxygen evolution reaction（OER） in an alkaline 1 M KOH electrolyte. The film annealed at 200 °C shows high catalytic activity with an onset overpotential of 240 m V with a smaller Tafel slope of 48 m V/dec. Additionally, it needs an overpotential of 290 mV to the drive the current density of 10 m A/cm;and shows good stability in the 1 M KOH electrolyte solution.展开更多
In the present investigation, we fabricated strontium (Sr2+) incorporated CsPbI2Br-based inorganic perovskite solar cells in ambient conditions. The morphology, crystallinity, absorption, elemental composition and pho...In the present investigation, we fabricated strontium (Sr2+) incorporated CsPbI2Br-based inorganic perovskite solar cells in ambient conditions. The morphology, crystallinity, absorption, elemental composition and photoluminescence analysis of the bare CsPbI2Br and CsPb1-xSrxI2Br perovskite thin films were studied systematically to investigate the role of Sr2+ incorporation. It is observed that the surface morphology of the CsPbI2Br perovskite thin film has been improved by partial substitution of Pb2+ by Sr2+ which facilitates photoactive black phase-stabilization and defect passivation. The champion device having CsPb0.98Sr0.02I2Br composition exhibited a power conversion efficiency (PCE) of 16.61% which is much higher than the bare device (13.65%). Furthermore, our CsPb0.98Sr0.02I2Br-based devices maintain > 85% of its initial efficiency over 100 h in ambient conditions.展开更多
Owing to technological developments,Medical image analysis has received considerable attention in the rapid detection and classification of diseases.The brain is an essential organ in humans.Brain tumors cause loss of...Owing to technological developments,Medical image analysis has received considerable attention in the rapid detection and classification of diseases.The brain is an essential organ in humans.Brain tumors cause loss of memory,vision,and name.In 2020,approximately 18,020 deaths occurred due to brain tumors.These cases can be minimized if a brain tumor is diagnosed at a very early stage.Computer vision researchers have introduced several techniques for brain tumor detection and classification.However,owing to many factors,this is still a challenging task.These challenges relate to the tumor size,the shape of a tumor,location of the tumor,selection of important features,among others.In this study,we proposed a framework for multimodal brain tumor classification using an ensemble of optimal deep learning features.In the proposed framework,initially,a database is normalized in the form of high-grade glioma(HGG)and low-grade glioma(LGG)patients and then two pre-trained deep learning models(ResNet50 and Densenet201)are chosen.The deep learning models were modified and trained using transfer learning.Subsequently,the enhanced ant colony optimization algorithm is proposed for best feature selection from both deep models.The selected features are fused using a serial-based approach and classified using a cubic support vector machine.The experimental process was conducted on the BraTs2019 dataset and achieved accuracies of 87.8%and 84.6%for HGG and LGG,respectively.The comparison is performed using several classification methods,and it shows the significance of our proposed technique.展开更多
A significant amount of evidence indicates that microRNAs(miRNAs)play an important role in drug addiction.The nucleus accumbens(NAc)is a critical part of the brain’s reward circuit and is involved in a variety of psy...A significant amount of evidence indicates that microRNAs(miRNAs)play an important role in drug addiction.The nucleus accumbens(NAc)is a critical part of the brain’s reward circuit and is involved in a variety of psychiatric disorders,including depression,anxiety,and drug addiction.However,few studies have examined the expression of miRNAs and their functional roles in the NAc under conditions of morphine addiction.In this study,mice were intravenously infused with morphine(0.01,0.03,0.3,1 and 3 mg/kg/infusion)and showed inverted U-shaped response.After morphine self-administration,NAc was used to analyze the functional networks of altered miRNAs and their putative target mRNAs in the NAc following intravenous self-administration of morphine.We utilized several bioinformatics tools,including Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway mapping and CyTargetLinker.We found that 62 miRNAs were altered and exhibited differential expression patterns.The putative targets were related to diverse regulatory functions,such as neurogenesis,neurodegeneration,and synaptic plasticity,as well as the pharmacological effects of morphine(receptor internalization/endocytosis).The present findings provide novel insights into the regulatory mechanisms of accumbal molecules under conditions of morphine addiction and identify several novel biomarkers associated with morphine addiction.展开更多
In March 2020,the World Health Organization declared the coronavirus disease(COVID-19)outbreak as a pandemic due to its uncontrolled global spread.Reverse transcription polymerase chain reaction is a laboratory test t...In March 2020,the World Health Organization declared the coronavirus disease(COVID-19)outbreak as a pandemic due to its uncontrolled global spread.Reverse transcription polymerase chain reaction is a laboratory test that is widely used for the diagnosis of this deadly disease.However,the limited availability of testing kits and qualified staff and the drastically increasing number of cases have hampered massive testing.To handle COVID19 testing problems,we apply the Internet of Things and artificial intelligence to achieve self-adaptive,secure,and fast resource allocation,real-time tracking,remote screening,and patient monitoring.In addition,we implement a cloud platform for efficient spectrum utilization.Thus,we propose a cloudbased intelligent system for remote COVID-19 screening using cognitiveradio-based Internet of Things and deep learning.Specifically,a deep learning technique recognizes radiographic patterns in chest computed tomography(CT)scans.To this end,contrast-limited adaptive histogram equalization is applied to an input CT scan followed by bilateral filtering to enhance the spatial quality.The image quality assessment of the CT scan is performed using the blind/referenceless image spatial quality evaluator.Then,a deep transfer learning model,VGG-16,is trained to diagnose a suspected CT scan as either COVID-19 positive or negative.Experimental results demonstrate that the proposed VGG-16 model outperforms existing COVID-19 screening models regarding accuracy,sensitivity,and specificity.The results obtained from the proposed system can be verified by doctors and sent to remote places through the Internet.展开更多
Carbazole moiety-based 2PACz([2-(9H-carbazol-9-yl)ethyl]phosphonic acid)self-assembled monolayers(SAMs)are excellent hole-selective contact(HSC)materials with abilities to excel the charge-transferdynamics of perovski...Carbazole moiety-based 2PACz([2-(9H-carbazol-9-yl)ethyl]phosphonic acid)self-assembled monolayers(SAMs)are excellent hole-selective contact(HSC)materials with abilities to excel the charge-transferdynamics of perovskite solar cells(PSCs).Herein,we report a facile but powerful method to functionalize the surface of 2PACz-SAM,by which reproducible,highly stable,high-efficiency wide-bandgap PSCs can be obtained.The 2PACz surface treatment with various donor number solvents improves assembly of 2PACz-SAM and leave residual surface-bound solvent molecules on 2PACz-SAM,which increases perovskite grain size,retards halide segregation,and accelerates hole extraction.The surface functionalization achieves a high power conversion efficiency(PCE)of 17.62%for a single-junction wide-bandgap(~1.77 e V)PSC.We also demonstrate a monolithic all-perovskite tandem solar cell using surfaceengineered HSC,showing high PCE of 24.66%with large open-circuit voltage of 2.008 V and high fillfactor of 81.45%.Our results suggest this simple approach can further improve the tandem device,when coupled with a high-performance narrow-bandgap sub-cell.展开更多
The conversion of methane to olefins,aromatics,and hydrogen(MTOAH)can be used to stably obtain hydrocarbons when the effect of the catalytic surface is optimized from the reaction engineering perspective.In this study...The conversion of methane to olefins,aromatics,and hydrogen(MTOAH)can be used to stably obtain hydrocarbons when the effect of the catalytic surface is optimized from the reaction engineering perspective.In this study,Fe/Si C catalysts were packed into a quartz tube reactor.The catalytic surfaces of Si C and the impregnated Fe species decreased the apparent activation energies(E_a)of methane consumption in the blank reactor between 965 and 1020℃.Consequently,the hydrocarbon yield increased by 2.4times at 1020℃.Based on the model reactions of ethane,ethylene,and acetylene mixed with hydrogen in the range of 500-1020℃,an excess amount of Fe in the reactor favored the C-C coupling reaction over the selective hydrogenation of acetylene;consequently,coke formation was favored over the hydrogenation reaction.The gas-phase reactions and catalyst properties were optimized to increase hydrocarbon yields while reducing coke selectivity.The 0.2Fe catalyst-packed reactor(0.26 wt%Fe)resulted in a hydrocarbon yield of 7.1%and a coke selectivity of<2%when the ratio of the void space of the postcatalyst zone to the catalyst space was adjusted to be≥2.Based on these findings,the facile approach of decoupling the reaction zone between the catalyst surface and the gas-phase reaction can provide insights into catalytic reactor design,thereby facilitating the scale-up from the laboratory to the commercial scale.展开更多
The discovery of efficient,selective,and stable electrocatalysts can be a key point to produce the largescale chemical fuels via electrochemical CO_(2) reduction(ECR).In this study,an earth-abundant and nontoxic ZnO-b...The discovery of efficient,selective,and stable electrocatalysts can be a key point to produce the largescale chemical fuels via electrochemical CO_(2) reduction(ECR).In this study,an earth-abundant and nontoxic ZnO-based electrocatalyst was developed for use in gas-diffusion electrodes(GDE),and the effect of nitrogen(N)doping on the ECR activity of ZnO electrocatalysts was investigated.Initially,a ZnO nanosheet was prepared via the hydrothermal method,and nitridation was performed at different times to control the N-doping content.With an increase in the N-doping content,the morphological properties of the nanosheet changed significantly,namely,the 2D nanosheets transformed into irregularly shaped nanoparticles.Furthermore,the ECR performance of Zn O electrocatalysts with different N-doping content was assessed in 1.0 M KHCO_(3) electrolyte using a gas-diffusion electrode-based ECR cell.While the ECR activity increased after a small amount of N doping,it decreased for higher N doping content.Among them,the N:ZnO-1 h electrocatalysts showed the best CO selectivity,with a faradaic efficiency(FE_(CO))of 92.7%at-0.73 V vs.reversible hydrogen electrode(RHE),which was greater than that of an undoped Zn O electrocatalyst(FE_(CO)of 63.4%at-0.78 V_(RHE)).Also,the N:ZnO-1 h electrocatalyst exhibited outstanding durability for 16 h,with a partial current density of-92.1 mA cm^(-2).This improvement of N:ZnO-1 h electrocatalyst can be explained by density functional theory calculations,demonstrating that this improvement of N:ZnO-1 h electrocatalyst comes from(ⅰ)the optimized active sites lowering the free energy barrier for the rate-determining step(RDS),and(ⅱ)the modification of electronic structure enhancing the electron transfer rate by N doping.展开更多
Commercial poly(p-phenylene sulfide) (PPS) was thermally cured, which resulted in an increase of molecular weight due to cross-linking. Non-isothermal crystallization studies of samples cured for up to 7 days at 250?C...Commercial poly(p-phenylene sulfide) (PPS) was thermally cured, which resulted in an increase of molecular weight due to cross-linking. Non-isothermal crystallization studies of samples cured for up to 7 days at 250?C showed a monotonous increase of crystallization temperature compared to pure PPS. However, a further increase of curing time decreased the crystallization temperature. The change in the half-crystallization time (t1/2) was similar to the crystallization temperature. Thus, the cross-linking of PPS affected crystallization behaviors significantly. To a certain extent, crosslinks acted as nucleation agents, but excessive cross-linking hindered the crystallization. Morphologies observed by polarized optical microscopy suggested that thermal curing for as little as 1 day contributed to the spherulitic structure having a smaller size, that was not observed with pure PPS.展开更多
Porous titanium(Ti)scaffolds have been extensively utilized as bone substitute scaffolds due to their superior biocompatibility and excellent mechanical properties.However,naturally formed TiO2 on the surface limits f...Porous titanium(Ti)scaffolds have been extensively utilized as bone substitute scaffolds due to their superior biocompatibility and excellent mechanical properties.However,naturally formed TiO2 on the surface limits fast osseointegration.Different biomolecules have been widely utilized to overcome this issue;however,homogeneous porous Ti scaffolds could not simultaneously deliver multiple biomolecules that have different release behaviors.In this study,functionally graded porous Ti scaffolds(FGPTs)with dense inner and porous outer parts were fabricated using a two-body combination and densification procedure.FGPTs with growth factor(BMP-2)and antibiotics(TCH)exhibited suitable mechanical properties as bone substituting material and presented good structural stability.The release of BMP-2 was considerably prolonged,whereas the release of TCH was comparable to that of homogenous porous titanium scaffolds(control group).The osteogenic differentiation obtained using FGPTs was maintained due to the prolonged release of BMP-2.The antimicrobial properties of these scaffolds were verified using S.aureus in terms of prior release time.In addition,various candidates for graded porous Ti scaffolds with altered pore characteristics were presented.展开更多
Bone undergoes a constant and continuous remodeling process that is tightly regulated by the coordinated and sequential actions of bone-resorbing osteoclasts and bone-forming osteoblasts.Recent studies have shown that...Bone undergoes a constant and continuous remodeling process that is tightly regulated by the coordinated and sequential actions of bone-resorbing osteoclasts and bone-forming osteoblasts.Recent studies have shown that histone demethylases are implicated in osteoblastogenesis;however,little is known about the role of histone demethylases in osteoclast formation.Here,we identified KDM4B as an epigenetic regulator of osteoclast differentiation.Knockdown of KDM4B significantly blocked the formation of tartrate-resistant acid phosphatase-positive multinucleated cells.Mice with myeloid-specific conditional knockout of KDM4B showed an osteopetrotic phenotype due to osteoclast deficiency.Biochemical analysis revealed that KDM4B physically and functionally associates with CCAR1 and MED1 in a complex.Using genome-wide chromatin immunoprecipitation(ChIP)-sequencing,we revealed that the KDM4B–CCAR1–MED1 complex is localized to the promoters of several osteoclast-related genes upon receptor activator of NF-κB ligand stimulation.We demonstrated that the KDM4B–CCAR1–MED1 signaling axis induces changes in chromatin structure(euchromatinization)near the promoters of osteoclast-related genes through H3K9 demethylation,leading to NF-κB p65 recruitment via a direct interaction between KDM4B and p65.Finally,small molecule inhibition of KDM4B activity impeded bone loss in an ovariectomized mouse model.Taken together,our findings establish KDM4B as a critical regulator of osteoclastogenesis,providing a potential therapeutic target for osteoporosis.展开更多
Nowadays, some studies reported promising results of platelet-rich plasma (PRP) for the treatment of osteoarthritis (OA). However, the effects of PRP on prevention of osteoarthritis in knee joints have been debated. T...Nowadays, some studies reported promising results of platelet-rich plasma (PRP) for the treatment of osteoarthritis (OA). However, the effects of PRP on prevention of osteoarthritis in knee joints have been debated. The present study investigated the effects of PRP on osteoarthritis related inflammatory cytokines expressed in fibroblast-like synoviocytes (FLS) from osteoarthritic knees. The synovial tissues were harvested from eight osteoarthritic patients who had undertaken total knee arthroplasties (TKAs) and cultured in DMEM containing 10% FBS. Platelet-rich plasma releasate (PRPr) was made by clotting or activation of PRP by citrate. The levels of PDGF-AA and VEGF in PRPr and whole blood were measured with ELISA method. The FLS were isolated and cultured from osteoarthritic knees. The IL-1β stimulated FLS were cultivated with three different conditions (none, 1% and 10% of PRP). To determine the expression of IL-6, MMP-3, and MCP-1, we used reverse transcriptase polymerase chain reaction (RT-PCR). The concentrations of platelet count in PRP were about 7 to 9 times higher than those of whole blood. The levels of PDGF-AA in PRPr were approximately 3 to 4 times higher than those of whole blood. The levels of VEGF in PRPr were also significantly 7 to 18 times higher than those of whole blood. Without induction of the FLS with IL-1β, 1% or 10% PRPr did not reduce expressions of inflammatory proteins (MMP-3, MCP-1), except for IL-6. However, with induction of the FLS with IL-1β, both concentrations (1% and 10%) of PRPr reduced significantly all inflammatory protein expressions (IL-6, MMP-3, MCP-1). PRPr diminished inflammatory IL-1β-mediated effects on human osteoarthritic fibroblast-like synoviocytes. These results suggest that platelet-rich plasma can be a good therapeutic option for the treatment of osteoarthritis.展开更多
In industrial wireless networks,data transmitted from source to destination are highly repetitive.This often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increase...In industrial wireless networks,data transmitted from source to destination are highly repetitive.This often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet loss.Therefore,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless networks.The term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for mating.As a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base station.This includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue delay.These features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue delay.Statistical analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of Evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and efficiency.The results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC 2014.Furthermore,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ANOVA.Moreover,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other algorithms.Simulation results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet loss.The proposed algorithm is also evaluated for the conflicting objectives at Pareto Front,and its analysis reveals that DMOA finds a compromising solution between the objectives,thereby optimizing queue delay.In addition,DMOA on the Pareto front delivers much greater performance when it comes to optimizing the queuing delay for industry wireless networks.展开更多
文摘Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.
基金financially supported by the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCOthe National Research Foundation (NRF) grants (RS-2024-00462912, RS-2024-00416272, RS-2024-00337012, RS-2024-00408446) funded by the Ministry of Science and ICT (MSIT) of the Korean government+2 种基金the Korea Evaluation Institute of Industrial Technology (KEIT) grant (No. 1415185027/20019169, Alchemist project) funded by the Ministry of Trade, Industry and Energy (MOTIE) of the Korean governmentthe Soseon Science fellowship funded by Community Chest of Koreathe NRF PhD fellowship (RS-2023-00275565) funded by the Ministry of Education (MOE) of the Korean government。
文摘Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their use in wearable devices.To overcome this,recent research by X.Liu et al.presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network.This system enables accurate,realtime depth mapping even in complex environments,enhancing potential applications in augmented reality,robotics,and autonomous systems.
基金supported by the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCOthe National Research Foundation(NRF)grants(RS-2022-NR067559,RS-2023-00302586)funded by the Ministry of Science and ICT(MSIT)of the Korean government.
文摘Wenhao Wang and colleagues summarized the latest advancements in structural color research in Opto-Electronic Science. Their review explored the fundamental principles and fabrication methods of structural colors for photonic applications, including anti-counterfeiting, displays, sensors, and printing, along with their practical limitations. Recently, structural colors have received growing interest due to their advantages, including physical and chemical robustness, ecofriendliness, tunability, and high-resolution color.
基金financially supported by the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCOthe National Research Foundation (NRF) grant (RS-2024-00462912) funded by the Ministry of Science and ICT (MSIT) of the Korean government+4 种基金partially supported by National Natural Science Foundation of China (Nos. 12274074, 12134013)Natural Science Foundation of Jiangsu Province (BK20242024)China Scholarship Council (202406090137)Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX24_0379)the NRF Ph.D. fellowship (RS-202525437554) funded by the Ministry of Education (MOE) of the Korean government
文摘The scale mismatch between nanoscale biomolecules and sub-wavelength light hinders circular dichroism(CD)spectroscopy for chiral small molecule sensing.In this study,we propose a high quality-factor(Q-factor)optical cavity that offers a breakthrough solution to the intrinsic trade-off between optical chirality density and mode loss.A spin-preserving chiral metasurface utilizes bound states in the continuum(BIC)-guided mode resonance(GMR)degenerate modes to achieve a high Q-factor,while ensuring the preservation of chirality purity for circularly polarized light propagating within the cavity via spin-locking mechanism.Experimental results demonstrate that the BIC-GMR degenerate state enables near-perfect transmission CD up to 0.99,without requiring symmetry breaking.Full-wave simulations further predict that this synergistically enhanced system can achieve a Q-factor as high as 10037 and generate a localized field in the molecular interaction region with an optical chirality density enhancement of up to 400-fold,leading to 5025-fold amplification of the CD signal.This study establishes a foundation for detecting low-concentration chiral molecules,reveals high-Q enhancement,and advances chiral toward single-molecule sensitivity,opening new research avenues in chiral biosensing.
基金supportedby a grant from the Korean Fundfor Regenerative Medicine(KFRM),which is funded by the Korean government’s Ministry of Science and ICT and the Ministry of Health&Welfare(23A0102L1 to Janghwan Kim)by KRIBB Research Initiative Program(KGM5362521 to Janghwan Kim)+1 种基金supported by a grant fromthe National Research Foundation of Korea(NRF)which is funded by theMinistry of Science and ICT(MSIT)of the Korean government(RS-2023-NR077070 to SungWoo Park).
文摘Background:Parkinson’s disease(PD)is a common neurodegenerative disease,characterized by symptoms like tremors,muscle rigidity,and slowmovement.Themain cause of these symptoms is the loss of dopamineproducing neurons in a brain area called the substantia nigra.Various genetic and environmental factors contribute to this neuronal loss.Once symptoms of PD begin,they worsen with age,which also impacts several critical cellular processes.Leucine-rich repeat kinase 2(LRRK2)is a gene associated with PD.Certain mutations in LRRK2,such as G2019S,increase its activity,disrupting cellular mechanisms necessary for healthy neuron function,including autophagy and lysosomal activity.Exposure to rotenone(RTN)promotes LRRK2 activity in neurons and contributes to cellular senescence andα-syn accumulation.Methods:In this study,human dopaminergic progenitor cells were reprogrammed to study the effects of RTN with the co-treatment of LRRK2 inhibitor on cellular senescence.We measured the cellular senescence using quantifying proteins of senescence markers,such as p53,p21,Rb,phosphorylated Rb,andβ-galatocidase,and the enzymatic activity of senescence-associatedβ-galatocidase.And we estimated the levels of accumulatedα-synuclein(α-syn),which is increased via the impaired autophagy-lysosomal pathway by cellular senescence.Then,we evaluated the association of the G2019S LRRK2 mutation and senescence-associatedβ-galatocidase and the levels of accumulated or secretedα-syn,and the neuroinflammatory responses mediated by the secretedα-syn in rat primary microglia were determined using the release of pro-inflammatory cytokines.Results:RTN raised senescence markers and affected the phosphorylation of Rab10,a substrate of LRRK2.The inhibiting agent MLI2 reduced these senescence markers and Rab10 phosphorylations.Additionally,RTN increasedα-syn levels in the neurons,while MLI2 aided in degrading it.When focusing on cells from PD patients with the G2019S mutation,an increase in cellular senescence and release ofα-syn was observed,provoking neuroinflammation.Treatment with the LRRK2 inhibitor MLI2 decreased both cellular senescence andα-syn secretion,thereby mitigating inflammatory responses.Conclusion:Overall,inhibiting LRRK2 may provide a beneficial strategy formanaging PD.
基金financially supported by the Nanomaterial Technology Development Program(Nos.RS-202300234581)the Basic Science Research Program(Nos.2020-NR049321,RS-2019-NR040077)through the National Research Foundation of Korea(NRF)funded by the Ministry of Science,ICT,&Future Planning and the Ministry of Education
文摘Device fabrication is increasing with the importance of functional materials for industrial applications.To fulfil increasing demands,rare earth elementbased materials have become important.In particular,lanthanum(La) and La-based materials have garnered attention in recent years due to their versatile properties and wide range of potential applications.This critical review provides a comprehensive overview of the advancements in the utilization of La and its compounds across various fields.In the realm of sensing and biosensing,La-based materials exhibit better sensitivity and selectivity,indicating their suitability for detecting environmental pollutants and biomolecules.The review also explores their role in supercapacitors,where their unique electrochemical properties contribute to enhanced performance and stability.Furthermore,the catalytic properties of La compounds are highlighted in water-splitting applications,emphasizing their efficiency in oxygen and hydrogen production.The biomedical applications of Labased materials are also examined,focusing on their biocompatibility and potential in drug delivery and medical imaging.This review aims to provide a critical analysis of the current state of research,identify challenges,and suggest future directions for the development and application of La and La-based materials in these diverse fields.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the government of the Republic of Korea(the Ministry of Science and ICT)(Nos.NRF-2023R1A2C2003247,2021R1C1C2091728,and 2021R1A2C2010695)the Nano&Material Technology Development Program through the National Research Foundation of Korea(NRF)funded by Ministry of Science and ICT(No.RS-2024-00402972)the National Research Council of Science&Technology(NST)grant by the Korea。
文摘The atomically thin nature of two-dimensional(2D)layered materials makes them susceptible to charge trapping by randomly created disorders,adversely affecting carrier dynamics such as charge transport and exciton lifetime.Typically,these disorders lead to poor device performance or require additional space to mitigate performance degradation.In this study,we investigate 2D layered Dion–Jacobson(DJ)-phase oxide perovskite nanosheets,which exhibit charge trapping within their well-defined quantum well(QW)structures,resulting in unique tailoring of electrical conductivity and photoconductivity.These DJ-phase perovskites,composed of tunable atomic constituents,demonstrate resonant tunneling and anomalous charge trapping due to their ultra-clean QWs.Remarkably,the conductivity of insulating HSr_(2)Nb_(3)O_(10)(HSNO)increased over 1000 times upon applying voltage without additional treatments.We observed persistent photoconductivity in 2D vertical heterostructure devices,attributed to charge trapping in QWs,and demonstrated artificial synaptic behaviours in a single flake with tailored energy consumption.Varying the number of perovskite layers significantly allows the tunability of the energy bandgap.This study also highlights the high tunability of 2D perovskite nanosheets,promising various applications,including magnetic,high-k dielectric,and resistive switching devices.Our findings suggest a new class of ionic layered materials with great potential as novel two-dimensional building blocks for device applications.
基金supported by the Human Resources Development program(no.20124010203180) of the Korea Institute of Energy Technology Evaluation and Planning(KETEP)Grant funded by the Korea government Ministry of Trade,Industry and Energysupported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science,ICT and Future Planning(NRF-2015R1A2A2A01006856)
文摘Nanostructured iron oxyhydroxide（Fe OOH） thin films have been synthesized using an electrodeposition method on a nickel foam（NF） substrate and effect of air annealing temperature on the catalytic performance is studied. The as-deposited and annealed thin films were characterized by X-ray diffraction（XRD）,X-ray photoelectron spectroscopy（XPS）, field emission scanning electron microscopy（FE-SEM） and linear sweep voltammetry（LSV） to determine their structural, morphological, compositional and electrochemical properties, respectively. The as-deposited nanostructured amorphous Fe OOH thin film is converted into a polycrystalline Fe;O;with hematite crystal structure at a high temperature. The Fe OOH thin film acts as an efficient electrocatalyst for the oxygen evolution reaction（OER） in an alkaline 1 M KOH electrolyte. The film annealed at 200 °C shows high catalytic activity with an onset overpotential of 240 m V with a smaller Tafel slope of 48 m V/dec. Additionally, it needs an overpotential of 290 mV to the drive the current density of 10 m A/cm;and shows good stability in the 1 M KOH electrolyte solution.
基金This work was supported by Priority Research Centre Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science,and Technology(NRF-2018R1A6A1A03024334)Also,this work was supported by Priority Research Centre Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science,and Technology(2020R1A2C2004880).
文摘In the present investigation, we fabricated strontium (Sr2+) incorporated CsPbI2Br-based inorganic perovskite solar cells in ambient conditions. The morphology, crystallinity, absorption, elemental composition and photoluminescence analysis of the bare CsPbI2Br and CsPb1-xSrxI2Br perovskite thin films were studied systematically to investigate the role of Sr2+ incorporation. It is observed that the surface morphology of the CsPbI2Br perovskite thin film has been improved by partial substitution of Pb2+ by Sr2+ which facilitates photoactive black phase-stabilization and defect passivation. The champion device having CsPb0.98Sr0.02I2Br composition exhibited a power conversion efficiency (PCE) of 16.61% which is much higher than the bare device (13.65%). Furthermore, our CsPb0.98Sr0.02I2Br-based devices maintain > 85% of its initial efficiency over 100 h in ambient conditions.
基金This study was supported by the grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI),funded by the Ministry of Health&Welfare(HI18C1216)the grant of the National Research Foundation of Korea(NRF-2020R1I1A1A01074256)the Soonchunhyang University Research Fund.
文摘Owing to technological developments,Medical image analysis has received considerable attention in the rapid detection and classification of diseases.The brain is an essential organ in humans.Brain tumors cause loss of memory,vision,and name.In 2020,approximately 18,020 deaths occurred due to brain tumors.These cases can be minimized if a brain tumor is diagnosed at a very early stage.Computer vision researchers have introduced several techniques for brain tumor detection and classification.However,owing to many factors,this is still a challenging task.These challenges relate to the tumor size,the shape of a tumor,location of the tumor,selection of important features,among others.In this study,we proposed a framework for multimodal brain tumor classification using an ensemble of optimal deep learning features.In the proposed framework,initially,a database is normalized in the form of high-grade glioma(HGG)and low-grade glioma(LGG)patients and then two pre-trained deep learning models(ResNet50 and Densenet201)are chosen.The deep learning models were modified and trained using transfer learning.Subsequently,the enhanced ant colony optimization algorithm is proposed for best feature selection from both deep models.The selected features are fused using a serial-based approach and classified using a cubic support vector machine.The experimental process was conducted on the BraTs2019 dataset and achieved accuracies of 87.8%and 84.6%for HGG and LGG,respectively.The comparison is performed using several classification methods,and it shows the significance of our proposed technique.
基金funded by the National Research Council of Science&Technology(NST)grant by the Korean government(MSIP)(No.CRC-15-04-KIST)the National Research Foundation of Korea under the grant(No.NRF-2017R1A2B200399Mid-career Researcher Program)
文摘A significant amount of evidence indicates that microRNAs(miRNAs)play an important role in drug addiction.The nucleus accumbens(NAc)is a critical part of the brain’s reward circuit and is involved in a variety of psychiatric disorders,including depression,anxiety,and drug addiction.However,few studies have examined the expression of miRNAs and their functional roles in the NAc under conditions of morphine addiction.In this study,mice were intravenously infused with morphine(0.01,0.03,0.3,1 and 3 mg/kg/infusion)and showed inverted U-shaped response.After morphine self-administration,NAc was used to analyze the functional networks of altered miRNAs and their putative target mRNAs in the NAc following intravenous self-administration of morphine.We utilized several bioinformatics tools,including Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway mapping and CyTargetLinker.We found that 62 miRNAs were altered and exhibited differential expression patterns.The putative targets were related to diverse regulatory functions,such as neurogenesis,neurodegeneration,and synaptic plasticity,as well as the pharmacological effects of morphine(receptor internalization/endocytosis).The present findings provide novel insights into the regulatory mechanisms of accumbal molecules under conditions of morphine addiction and identify several novel biomarkers associated with morphine addiction.
基金This study was supported by the grant of the National Research Foundation of Korea(NRF 2016M3A9E9942010)the grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI)+1 种基金funded by the Ministry of Health&Welfare(HI18C1216)the Soonchunhyang University Research Fund.
文摘In March 2020,the World Health Organization declared the coronavirus disease(COVID-19)outbreak as a pandemic due to its uncontrolled global spread.Reverse transcription polymerase chain reaction is a laboratory test that is widely used for the diagnosis of this deadly disease.However,the limited availability of testing kits and qualified staff and the drastically increasing number of cases have hampered massive testing.To handle COVID19 testing problems,we apply the Internet of Things and artificial intelligence to achieve self-adaptive,secure,and fast resource allocation,real-time tracking,remote screening,and patient monitoring.In addition,we implement a cloud platform for efficient spectrum utilization.Thus,we propose a cloudbased intelligent system for remote COVID-19 screening using cognitiveradio-based Internet of Things and deep learning.Specifically,a deep learning technique recognizes radiographic patterns in chest computed tomography(CT)scans.To this end,contrast-limited adaptive histogram equalization is applied to an input CT scan followed by bilateral filtering to enhance the spatial quality.The image quality assessment of the CT scan is performed using the blind/referenceless image spatial quality evaluator.Then,a deep transfer learning model,VGG-16,is trained to diagnose a suspected CT scan as either COVID-19 positive or negative.Experimental results demonstrate that the proposed VGG-16 model outperforms existing COVID-19 screening models regarding accuracy,sensitivity,and specificity.The results obtained from the proposed system can be verified by doctors and sent to remote places through the Internet.
基金supported by the National Research Foundation of Korea (NRF)the Ministry of Science,ICT (2022M3J1A1085285,2019R1A2C1084010,and 2022R1A2C2006532)the Korea Electric Power Corporation (R20XO02-1)。
文摘Carbazole moiety-based 2PACz([2-(9H-carbazol-9-yl)ethyl]phosphonic acid)self-assembled monolayers(SAMs)are excellent hole-selective contact(HSC)materials with abilities to excel the charge-transferdynamics of perovskite solar cells(PSCs).Herein,we report a facile but powerful method to functionalize the surface of 2PACz-SAM,by which reproducible,highly stable,high-efficiency wide-bandgap PSCs can be obtained.The 2PACz surface treatment with various donor number solvents improves assembly of 2PACz-SAM and leave residual surface-bound solvent molecules on 2PACz-SAM,which increases perovskite grain size,retards halide segregation,and accelerates hole extraction.The surface functionalization achieves a high power conversion efficiency(PCE)of 17.62%for a single-junction wide-bandgap(~1.77 e V)PSC.We also demonstrate a monolithic all-perovskite tandem solar cell using surfaceengineered HSC,showing high PCE of 24.66%with large open-circuit voltage of 2.008 V and high fillfactor of 81.45%.Our results suggest this simple approach can further improve the tandem device,when coupled with a high-performance narrow-bandgap sub-cell.
基金supported by the C1 Gas Refinery Program through the National Research Foundation of Korea (NRF)funded by the Ministry of Science,ICT&Future Planning (NRF2017M3D3A1A01037001)supported by the Ministry of Trade,Industry and Energy (MOTIE),Korea Institute for Advancement of Technology (KIAT)through the Virtual Engineering Platform Program (P0022334)。
文摘The conversion of methane to olefins,aromatics,and hydrogen(MTOAH)can be used to stably obtain hydrocarbons when the effect of the catalytic surface is optimized from the reaction engineering perspective.In this study,Fe/Si C catalysts were packed into a quartz tube reactor.The catalytic surfaces of Si C and the impregnated Fe species decreased the apparent activation energies(E_a)of methane consumption in the blank reactor between 965 and 1020℃.Consequently,the hydrocarbon yield increased by 2.4times at 1020℃.Based on the model reactions of ethane,ethylene,and acetylene mixed with hydrogen in the range of 500-1020℃,an excess amount of Fe in the reactor favored the C-C coupling reaction over the selective hydrogenation of acetylene;consequently,coke formation was favored over the hydrogenation reaction.The gas-phase reactions and catalyst properties were optimized to increase hydrocarbon yields while reducing coke selectivity.The 0.2Fe catalyst-packed reactor(0.26 wt%Fe)resulted in a hydrocarbon yield of 7.1%and a coke selectivity of<2%when the ratio of the void space of the postcatalyst zone to the catalyst space was adjusted to be≥2.Based on these findings,the facile approach of decoupling the reaction zone between the catalyst surface and the gas-phase reaction can provide insights into catalytic reactor design,thereby facilitating the scale-up from the laboratory to the commercial scale.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) (Grant Nos.2018R1A6A1A03024334,2019R1A2C1007637,2021M3I3A1082880,2021R1I1A1A01044174)the Basic Science Research Capacity Enhancement Project through Korea Basic Science Institute (Grant No.2019R1A6C1010024)。
文摘The discovery of efficient,selective,and stable electrocatalysts can be a key point to produce the largescale chemical fuels via electrochemical CO_(2) reduction(ECR).In this study,an earth-abundant and nontoxic ZnO-based electrocatalyst was developed for use in gas-diffusion electrodes(GDE),and the effect of nitrogen(N)doping on the ECR activity of ZnO electrocatalysts was investigated.Initially,a ZnO nanosheet was prepared via the hydrothermal method,and nitridation was performed at different times to control the N-doping content.With an increase in the N-doping content,the morphological properties of the nanosheet changed significantly,namely,the 2D nanosheets transformed into irregularly shaped nanoparticles.Furthermore,the ECR performance of Zn O electrocatalysts with different N-doping content was assessed in 1.0 M KHCO_(3) electrolyte using a gas-diffusion electrode-based ECR cell.While the ECR activity increased after a small amount of N doping,it decreased for higher N doping content.Among them,the N:ZnO-1 h electrocatalysts showed the best CO selectivity,with a faradaic efficiency(FE_(CO))of 92.7%at-0.73 V vs.reversible hydrogen electrode(RHE),which was greater than that of an undoped Zn O electrocatalyst(FE_(CO)of 63.4%at-0.78 V_(RHE)).Also,the N:ZnO-1 h electrocatalyst exhibited outstanding durability for 16 h,with a partial current density of-92.1 mA cm^(-2).This improvement of N:ZnO-1 h electrocatalyst can be explained by density functional theory calculations,demonstrating that this improvement of N:ZnO-1 h electrocatalyst comes from(ⅰ)the optimized active sites lowering the free energy barrier for the rate-determining step(RDS),and(ⅱ)the modification of electronic structure enhancing the electron transfer rate by N doping.
文摘Commercial poly(p-phenylene sulfide) (PPS) was thermally cured, which resulted in an increase of molecular weight due to cross-linking. Non-isothermal crystallization studies of samples cured for up to 7 days at 250?C showed a monotonous increase of crystallization temperature compared to pure PPS. However, a further increase of curing time decreased the crystallization temperature. The change in the half-crystallization time (t1/2) was similar to the crystallization temperature. Thus, the cross-linking of PPS affected crystallization behaviors significantly. To a certain extent, crosslinks acted as nucleation agents, but excessive cross-linking hindered the crystallization. Morphologies observed by polarized optical microscopy suggested that thermal curing for as little as 1 day contributed to the spherulitic structure having a smaller size, that was not observed with pure PPS.
基金supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(Nos. 2021R1I1A1A01043176 and2021R1A2C1091301)the framework of international cooperation program managed by the National Research Foundation of Korea (No.2021K2A9A2A06037540)+3 种基金Korean Fund for Regenerative Medicine funded by Ministry of Science and ICTMinistry of Health and Welfare (No. 2021M3E5E5096420, Republic of Korea)Korea Medical Device Development Fund grant funded by the Korea government(the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health&Welfare, Republic of Korea, the Ministry of Food and Drug Safety)(Project Number:202011B29)the GRRC program of the Gyeo nggi Province (Grant Number GRRC-KPU2021-A01, Multi-material Machining Innovative Technology Research Center)
文摘Porous titanium(Ti)scaffolds have been extensively utilized as bone substitute scaffolds due to their superior biocompatibility and excellent mechanical properties.However,naturally formed TiO2 on the surface limits fast osseointegration.Different biomolecules have been widely utilized to overcome this issue;however,homogeneous porous Ti scaffolds could not simultaneously deliver multiple biomolecules that have different release behaviors.In this study,functionally graded porous Ti scaffolds(FGPTs)with dense inner and porous outer parts were fabricated using a two-body combination and densification procedure.FGPTs with growth factor(BMP-2)and antibiotics(TCH)exhibited suitable mechanical properties as bone substituting material and presented good structural stability.The release of BMP-2 was considerably prolonged,whereas the release of TCH was comparable to that of homogenous porous titanium scaffolds(control group).The osteogenic differentiation obtained using FGPTs was maintained due to the prolonged release of BMP-2.The antimicrobial properties of these scaffolds were verified using S.aureus in terms of prior release time.In addition,various candidates for graded porous Ti scaffolds with altered pore characteristics were presented.
基金support of the National Research Foundation of Korea(2017R1C1B2008017,2020R1A6A1A06046235,and 2020R1A2C1008179 to K.K.,2019R1I1A1A01061125 to S.J.Y.).
文摘Bone undergoes a constant and continuous remodeling process that is tightly regulated by the coordinated and sequential actions of bone-resorbing osteoclasts and bone-forming osteoblasts.Recent studies have shown that histone demethylases are implicated in osteoblastogenesis;however,little is known about the role of histone demethylases in osteoclast formation.Here,we identified KDM4B as an epigenetic regulator of osteoclast differentiation.Knockdown of KDM4B significantly blocked the formation of tartrate-resistant acid phosphatase-positive multinucleated cells.Mice with myeloid-specific conditional knockout of KDM4B showed an osteopetrotic phenotype due to osteoclast deficiency.Biochemical analysis revealed that KDM4B physically and functionally associates with CCAR1 and MED1 in a complex.Using genome-wide chromatin immunoprecipitation(ChIP)-sequencing,we revealed that the KDM4B–CCAR1–MED1 complex is localized to the promoters of several osteoclast-related genes upon receptor activator of NF-κB ligand stimulation.We demonstrated that the KDM4B–CCAR1–MED1 signaling axis induces changes in chromatin structure(euchromatinization)near the promoters of osteoclast-related genes through H3K9 demethylation,leading to NF-κB p65 recruitment via a direct interaction between KDM4B and p65.Finally,small molecule inhibition of KDM4B activity impeded bone loss in an ovariectomized mouse model.Taken together,our findings establish KDM4B as a critical regulator of osteoclastogenesis,providing a potential therapeutic target for osteoporosis.
文摘Nowadays, some studies reported promising results of platelet-rich plasma (PRP) for the treatment of osteoarthritis (OA). However, the effects of PRP on prevention of osteoarthritis in knee joints have been debated. The present study investigated the effects of PRP on osteoarthritis related inflammatory cytokines expressed in fibroblast-like synoviocytes (FLS) from osteoarthritic knees. The synovial tissues were harvested from eight osteoarthritic patients who had undertaken total knee arthroplasties (TKAs) and cultured in DMEM containing 10% FBS. Platelet-rich plasma releasate (PRPr) was made by clotting or activation of PRP by citrate. The levels of PDGF-AA and VEGF in PRPr and whole blood were measured with ELISA method. The FLS were isolated and cultured from osteoarthritic knees. The IL-1β stimulated FLS were cultivated with three different conditions (none, 1% and 10% of PRP). To determine the expression of IL-6, MMP-3, and MCP-1, we used reverse transcriptase polymerase chain reaction (RT-PCR). The concentrations of platelet count in PRP were about 7 to 9 times higher than those of whole blood. The levels of PDGF-AA in PRPr were approximately 3 to 4 times higher than those of whole blood. The levels of VEGF in PRPr were also significantly 7 to 18 times higher than those of whole blood. Without induction of the FLS with IL-1β, 1% or 10% PRPr did not reduce expressions of inflammatory proteins (MMP-3, MCP-1), except for IL-6. However, with induction of the FLS with IL-1β, both concentrations (1% and 10%) of PRPr reduced significantly all inflammatory protein expressions (IL-6, MMP-3, MCP-1). PRPr diminished inflammatory IL-1β-mediated effects on human osteoarthritic fibroblast-like synoviocytes. These results suggest that platelet-rich plasma can be a good therapeutic option for the treatment of osteoarthritis.
基金supported by Priority Research Centers Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science and Technology(2018R1A6A1A03024003)the MSIT(Ministry of Science and ICT),Korea,under the Innovative Human Resource Development for Local Intellectualization support program(IITP-2023-2020-0-01612)supervised by the IITP(Institute for Information&communications TechnologyPlanning&Evaluation).
文摘In industrial wireless networks,data transmitted from source to destination are highly repetitive.This often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet loss.Therefore,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless networks.The term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for mating.As a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base station.This includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue delay.These features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue delay.Statistical analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of Evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and efficiency.The results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC 2014.Furthermore,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ANOVA.Moreover,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other algorithms.Simulation results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet loss.The proposed algorithm is also evaluated for the conflicting objectives at Pareto Front,and its analysis reveals that DMOA finds a compromising solution between the objectives,thereby optimizing queue delay.In addition,DMOA on the Pareto front delivers much greater performance when it comes to optimizing the queuing delay for industry wireless networks.
