Ammonia plays a critical role in our society,not only as the source for fertilizers and other essential chemicals,but also as a promising hydrogen carrier due to its high energy density and ease of storage and transpo...Ammonia plays a critical role in our society,not only as the source for fertilizers and other essential chemicals,but also as a promising hydrogen carrier due to its high energy density and ease of storage and transportation.However,the conventional Haber-Bosch process is energy-intensive and costly.Developing a more energy efficient route for ammonia production is currently a holy grail in scientific society.This study reports a plasmonic semiconductor catalyst,molybdenum oxynitride(Mo2N/MoO_(2-x))nanosheet,that enables the ambient-pressure NH3 synthesis under light illumination.This catalyst achieves a remarkable NH3 production rate of 2338μmol·g^(-1)·h^(-1) at 400℃ and 857μmol·g^(-1)·h^(-1) at room temperature.Notably,we present the evidence for the coexistence of both nonthermal and photothermal effects,distinguishing this system from photothermally driven routes.This work demonstrates a viable pathway for NH3 production with low monetary and energetic investments and potential for distributed NH3 synthesis utilizing only water,air,and sunlight.展开更多
Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imag-ing,significantly impacting geohazard prevention and control.Conventional dense-array studies,how-ever,require simu...Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imag-ing,significantly impacting geohazard prevention and control.Conventional dense-array studies,how-ever,require simultaneous observations of numerous stations for extensive coverage.To conduct a comprehensive karst feature investigation with limited stations,we designed a new synchronous-asyn-chronous observation system that facilitates dense array observations.We conducted two rounds of asynchronous observations,each lasting approximately 24 h,in combination with synchronous backbone stations.We achieved wide-ranging coverage of the study area utilizing 197 nodal receivers,with an average station spacing of 7 m.The beamforming results revealed distinct variations in the noise source distributions between day and night.We estimated the source strength in the stationary phase zone and used a weighting scheme for stacking the cross-correlation functions(C ^(1) functions)to suppress the influ-ence of nonuniform noise source distributions.The weights were derived from the similarity coefficients between multicomponent C^(1)functions related to Rayleigh waves.We employed the cross-correlation of C ^(1) functions(C^(2)methods)to obtain the empirical Green’s functions between asynchronous stations.To eliminate artifacts in C ^(2) functions from higher-mode surface waves in C^(1)functions,we filtered the C^(1)functions on the basis of different particle motions linked to multimode Rayleigh waves.The dispersion measurements of Rayleigh waves obtained from both the C^(1)and C^(2)functions were utilized in surface wave tomography.The inverted three-dimensional(3D)shear-wave(S-wave)velocity model reveals two significant low-velocity zones at depths ranging from 40 to 60 m,which align well with the karst caves found in the drilling data.The method of short-term synchronous-asynchronous ambient noise tomography shows promise as a cost-effective and efficient approach for urban geohazard investigations.展开更多
The Tan-Lu Fault Zone is a large NNE-trending fault zone that has a substantial effect on the development of eastern China and its earthquake disaster prevention efforts. Aiming at the azimuthally anisotropic structur...The Tan-Lu Fault Zone is a large NNE-trending fault zone that has a substantial effect on the development of eastern China and its earthquake disaster prevention efforts. Aiming at the azimuthally anisotropic structure in the upper crust and seismogenic tectonics in the Hefei segment of this fault, we collected phase velocity dispersion data of fundamental mode Rayleigh waves from ambient noise cross-correlation functions of ~400 temporal seismographs in an area of approximately 80 × 70 km along the fault zone. The period band of the dispersion data was ~0.5–10 s. We inverted for the upper crustal three-dimensional(3-D) shear velocity model with azimuthal anisotropy from the surface to 10 km depth by using a 3-D direct azimuthal anisotropy inversion method. The inversion result shows the spatial distribution characteristics of the tectonic units in the upper crust. Additionally, the deformation of the Tan-Lu Fault Zone and its conjugated fault systems could be inferred from the anisotropy model. In particular, the faults that have remained active from the early and middle Pleistocene control the anisotropic characteristics of the upper crustal structure in this area. The direction of fast axes near the fault zone area in the upper crust is consistent with the strike of the faults, whereas for the region far away from the fault zone, the direction of fast axes is consistent with the direction of the regional principal stress caused by plate movement. Combined with the azimuthal anisotropy models in the deep crust and uppermost mantle from the surface wave and Pn wave, the different anisotropic patterns caused by the Tan-Lu Fault Zone and its conjugated fault system nearby are shown in the upper and lower crust. Furthermore,by using the double-difference method, we relocated the Lujiang earthquake series, which contained 32 earthquakes with a depth shallower than 10 km. Both the Vs model and earthquake relocation results indicate that earthquakes mostly occurred in the vicinity of structural boundaries with fractured media, with high-level development of cracks and small-scale faults jammed between more rigid areas.展开更多
This study investigates the relationships between exposures to ambient air pollution—specifically particulate matter 2.5 (PM_(2.5)) and its metabolites—and the risk of depression.Nonlinear and linear regression,Baye...This study investigates the relationships between exposures to ambient air pollution—specifically particulate matter 2.5 (PM_(2.5)) and its metabolites—and the risk of depression.Nonlinear and linear regression,Bayesian kernel machine regression,and toxicogenomic analysis were key approaches.PM_(2.5)exposure was positively associated with the risk of developing depression,whereas phenylglyoxylic acid exposure was negatively associated with depression risk.We found a significant overall relationship between ambient air pollution and depression,particularly at the 55th and 60th percentiles.Although statistical significance was not reached at the 65th percentile,there was a noticeable upward trend,indicating a potential association.Interestingly,no significant connection was found between a combination of metabolites from ambient air pollution and depression.PM_(2.5)and phenylglyoxylic acid emerged as the most influential compounds in the models,respectively.PM_(2.5)exposure altered the expression of 42 specific targets associated with depression,especially POMC,SCL6A4,IL6,and SOD2.The study identified specific pathways related to insulin secretion,energy metabolism,blood circulation,tube diameter,and maintenance of blood vessel diameter,as well as key molecular mechanisms involving hsa-miR-124-3p,hsa-miR-155-5p,hsa-miR-16-5p,and SP1.These mechanisms were found to underlie the etiology of depression associated with PM_(2.5)exposure.In conclusions,PM_(2.5)and phenylglyoxylic acid were found to be associated with depression.Further work is needed to gain insight into the molecular mechanisms by which these chemicals affect depression,especially pathways related to insulin secretion and blood circulation.展开更多
Manipulating unintentional doping in graphene layers, which is influenced by environmental factors and supporting substrates, is of significant concern for the performance and advancement of graphene-based devices. In...Manipulating unintentional doping in graphene layers, which is influenced by environmental factors and supporting substrates, is of significant concern for the performance and advancement of graphene-based devices. In this context,laser-induced tuning of charge carriers in graphene facilitates the exploration of graphene's properties in relation to its surroundings and enables laser-assisted functionalization. This has the potential to advance optoelectronic devices that utilize graphene on transparent dielectric substrates, such as Al_(2)O_(3). In this work, laser power(PL) in Raman spectroscopy is used as a convenient contactless tool to manipulate and control unintentional carrier concentration and Fermi level position(EF) in graphene/α-Al_(2)O_(3)(G/Al_(2)O_(3)) under ambient conditions. Samples are annealed at 400℃ for two hours in an(Ar + H_(2)) atmosphere to remove any chemical residues. Analysis of the peak frequency(ω) and full width at half maximum(Γ) of the G and 2D bands show that G/Al_(2)O_(3) layers initially exhibit p-type doping, with EF located at ~100 me V below its Dirac charge-neutral point(DCNP). Increasing P_(L) results in effective carrier manipulation and raises E_F above DCNP. No significant internal stress is produced due to P_(L), as inferred from the strain-sensitive G^(*) band of graphene. Raman analysis of three successive cycles reveals hysteretic behavior from cycle to cycle, which is commonly reported to be limited by the type and density of the existing unintentional doping. Because of the ubiquitous nature of unintentional doping in graphene,manipulating it using contactless laser power to realize the desired graphene properties would be one of the best available practical approaches.展开更多
The advancement of intelligent mining in open-pit operations has imposed higher demands on geological transparency,aiming to provide a robust foundation for intelligent drilling and charging.In this study,a linear arr...The advancement of intelligent mining in open-pit operations has imposed higher demands on geological transparency,aiming to provide a robust foundation for intelligent drilling and charging.In this study,a linear array of 120 nodal seismometers was deployed along the surfaces of the C8 and C9 platforms at Fenghuang Mountain to investigate cavities within the rock mass and prevent improper intelligent charging.The seismometers were 1 m apart along measurement lines,with a 2-m spacing between lines,and the monitoring time for each line was set at 2 h.This deployment was paired with spatial autocorrelation and station autocorrelation to analyze ambient noise seismic data and image the velocity and structure within the rock mass.The results demonstrate that the locations and sizes of cavities or loose structures can be accurately identified at the prepared excavation site.Compared with traditional geological exploration methods for openpit mines,the approach in this study off ers higher accuracy,greater efficiency,reduced labor intensity,and insensitivity to water conditions.Ambient noise seismic imaging for detecting adverse geological conditions in open-pit mines provides critical insights and references for intelligent mining advancements.展开更多
Ambient noise tomography is an established technique in seismology,where calculating single-or ninecomponent noise cross-correlation functions(NCFs)is a fundamental first step.In this study,we introduced a novel CPU-G...Ambient noise tomography is an established technique in seismology,where calculating single-or ninecomponent noise cross-correlation functions(NCFs)is a fundamental first step.In this study,we introduced a novel CPU-GPU heterogeneous computing framework designed to significantly enhance the efficiency of computing 9-component NCFs from seismic ambient noise data.This framework not only accelerated the computational process by leveraging the Compute Unified Device Architecture(CUDA)but also improved the signal-to-noise ratio(SNR)through innovative stacking techniques,such as time-frequency domain phaseweighted stacking(tf-PWS).We validated the program using multiple datasets,confirming its superior computation speed,improved reliability,and higher signal-to-noise ratios for NCFs.Our comprehensive study provides detailed insights into optimizing the computational processes for noise cross-correlation functions,thereby enhancing the precision and efficiency of ambient noise imaging.展开更多
BACKGROUND To investigate whether seasonal differences in ambient temperature affect the incidence of early postoperative cognitive dysfunction(POCD)among elderly patients undergoing laparoscopic surgery in tropical r...BACKGROUND To investigate whether seasonal differences in ambient temperature affect the incidence of early postoperative cognitive dysfunction(POCD)among elderly patients undergoing laparoscopic surgery in tropical regions.Additionally,it explored the perioperative risk factors associated with early POCD following abdominal laparoscopic surgery.AIM To investigate the influence of seasonal differences in ambient temperature on POCD of elderly patients METHODS A total of 125 patients aged≥65 years from Hainan Province,China,who underwent laparoscopic surgery under general anesthesia with tracheal intubation,were enrolled. All patients completed the Mini-Mental State Examination one day before surgery and onpostoperative days 1, 3, and 7. A decline of ≥ 2 points from baseline was considered indicative of cognitivedysfunction. Serum levels of S100 calcium binding protein B and neuron-specific enolase were measured usingenzyme-linked immunosorbent assay at three time points: Preoperatively, immediately after extubation, and 24hours postoperatively. Perioperative clinical data were collected to identify potential risk factors for POCD.Propensity score matching (PSM) was performed (1:1, caliper = 0.03), resulting in 41 matched patient pairs betweenwinter and summer groups.RESULTSAfter PSM, baseline characteristics including age, gender, body mass index, education level, comorbidities, andsurgical variables were well balanced between groups. There were no significant differences in the incidence ofPOCD on postoperative days 1, 3, and 7 between patients undergoing laparoscopic surgery in winter vs summer.However, multivariable logistic regression revealed that surgical duration (day 1, P value = 0.049), advanced ageand elevated creatinine (day 3, P value = 0.044, P value = 0.008), and hypoalbuminemia (day 3, P value = 0.042;day7, P value = 0.015) were independently associated with early POCD.CONCLUSIONAmbient temperature differences between winter and summer in tropical regions did not significantly affect theincidence of early POCD in elderly patients undergoing laparoscopic surgery. Nonetheless, age, longer surgicalduration, elevated creatinine, and hypoalbuminemia emerged as key risk factors. These findings underscore theimportance of perioperative optimization to reduce the risk of POCD in elderly patients, regardless of seasonaltemperature variations.展开更多
Neural stem cells(NSCs)play a fundamental role in generating diverse neuronal populations that contribute to the formation of intricate neural circuitry.Disturbances arising from intrinsic or extrinsic factors can alt...Neural stem cells(NSCs)play a fundamental role in generating diverse neuronal populations that contribute to the formation of intricate neural circuitry.Disturbances arising from intrinsic or extrinsic factors can alter the developmental behavior of NSCs and disrupt nervous system homeostasis.While intrinsic regulatory mechanisms have been elucidated extensively in invertebrate or vertebrate models,the regulatory mechanisms underlying extrinsic cues from the cellular environment remain poorly understood.This review synthesized recent research on cellular ambient effects,including the microenvironment,systemic environment and external factors,on NSCs in Drosophila.Key topics include spatial cues,NSC-glia interactions,long-distance regulation by tissues such as the fat body,and the external environmental stressors like irradiation or viral infection.By integrating these findings,this review provides new insights into how extrinsic signals shape NSCs and bridges gaps between foundational research and clinical translation.展开更多
Catalytic oxidation of biomass-derived 5-hydroxymethylfurfural(HMF)to 2,5-furandicarboxylic acid(FDCA,an alternative bioplastic monomer to petroleum-derived terephthalic acid),has been identified as an important bioma...Catalytic oxidation of biomass-derived 5-hydroxymethylfurfural(HMF)to 2,5-furandicarboxylic acid(FDCA,an alternative bioplastic monomer to petroleum-derived terephthalic acid),has been identified as an important biomass conversion reaction in bio-based polyester industry.However,it is still challenging to acquire a high FDCA yield from the selective oxidation of HMF at low temperatures.Herein,a ternary metal-based catalyst was prepared by loading AuPdPt noble metal nanoparticles on the oxygen-rich vacancy titanium dioxide layer deposited on natural clay mineral halloysite nanotubes(HNTs),and the catalytic activity was examined for air-oxidation of HMF to FDCA in water at ambient temperature(30℃).By adjusting the Au/Pd/Pt ratio,a 93.6%FDCA yield was achieved with the optimal Au_(0.5)Pd_(0.2)Pt_(0.3)/TiO_(2)@HNTs catalyst,which revealed an impressive FDCA formation rate of 67.58 mmol g^(-1)h^(-1)and an excellent TOF value of 17.54 h^(-1)under normal air pressure at 30℃,surpassing the performance of mono-and bimetallic-based catalysts.Theoretical calculation and catalytic performance study clarified the structure-activity relationship.It was found that the ternary metal and oxygen vacancies revealing synergistic enhancement of ambient temperature catalyzed HMF air-oxidation via electronic structure tuning and adsorption intensification.DFT and kinetics study demonstrated that the presence of ternary metal significantly improved the adsorption capacity of substrate and enhanced the rate-determining step of the key intermediate 5-hydroxymethyl-2-furanocarboxylic acid(HMFCA)oxidation when compared to mono-and bimetal.Additionally,the TiO_(2)@HNTs support with high oxygen vacancy concentration facilitated the adsorption of oxygen,synergistically working with the ternary metal to activate and low the energy barriers for the generation of superoxide radical,thus enhancing the FDCA formation.This work offers a novel strategy for designing ternary metal-based catalysts for low-energy catalytic oxidation reactions.展开更多
Due to the lack of the three-dimensional structure of the Zhaoji Salt Basin,the salt mining enterprises have obvious clustering when choosing sites.Production capacity declines rapidly as mining deepens,and the enterp...Due to the lack of the three-dimensional structure of the Zhaoji Salt Basin,the salt mining enterprises have obvious clustering when choosing sites.Production capacity declines rapidly as mining deepens,and the enterprises are entering a stage of stagnation in production.In this study,a dense seismic array of 125 short-period stations was deployed around the core mining area and its vicinity of the salt mine industry,we used the ambient noise tomography(ANT)method to image the three-dimensional shear wave velocity structure at the depth shallower than 3 km.The results indicate:(1)The overall shear wave velocity in the study area is relatively lower,ranging from 0.8 to 1.8 km/s,which could be related to the loose and thick deposition of the Zhaoji sub-depression.(2)The three-dimensional shear wave velocity structure reveals that the sedimentary thickness of the Zhaoji sub-depression is deeper in the southeast and shallower in the northwest,with the sedimentary center located around Heping Town and Dahuangzhuang Town.(3)The Zhaoji salt mine is a low-velocity anomalous zone in the shear wave velocity structure with an inverse‘C'character spreading along Nanchenji Town and Zhaoji Town,with a depth ranging from approximately 1.2 to 2.8 km,it may be caused by the development of rock fissures due to water extraction and injection.The surrounding rock exhibits relatively high velocity,which reflects the morphological characteristics of the Zhaoji Salt Basin.The three-dimensional shear wave velocity model obtained in this study provides scientific guidance for the industrial exploitation of the Zhaoji salt mine and reference for salt exploration of the Hongze Salt Basin.It also provides an important basis for the seismic risk assessment of the salt basins.Simultaneously,it holds significant implications for exploring the application of ambient noise tomography method in spatial detection of salt mine belt.展开更多
This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China.The data was recorded continu...This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China.The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine,with station spacing ranging from 0.1 km to approximately 3 km.Using the causal and non-causal components of the Z-component cross-correlation function,along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay,stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz.We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes.In particular,when the relative seismic velocity increased by 0.23%,larger energy minequakes typically occurred.This study shows that ambient noise correlation has great potential for predicting minequakes,guiding pressure-relief production,and providing warnings about the impact of overburden pressure.展开更多
The Sichuan-Yunnan Block is located on the southeastern margin of the Qinghai-Xizang Plateau and has frequent seismic activity on the western border,posing a potential threat to human society and economic development....The Sichuan-Yunnan Block is located on the southeastern margin of the Qinghai-Xizang Plateau and has frequent seismic activity on the western border,posing a potential threat to human society and economic development.Therefore,it is important to understand its geological evolution,assess earthquake risks,and formulate scientific and reasonable disaster prevention and mitigation strategies.Using 23 months of continuous ambient noise records from 81 seismic stations,we obtained 1248 phasevelocity dispersion curves of the fundamental Rayleigh wave at 5–50 s.The three-dimensional(3D)S-wave velocity structure in the northwestern Sichuan-Yunnan Block was obtained by pure-path and depth inversion.The results show that three lowvelocity anomalous bands were distributed nearly north-to-south(N-S)at depths of 10–35 km.The overall shape of the lowvelocity channel gradually shifted from southeast to southwest because of the influence of the Panzhihua high-velocity blocks.The low-velocity strip consists of three branches,with the first branch extending southwest from the northern part of the Lancangjiang Fault.The second branch is distributed in the N-S direction and is blocked by two high-velocity bodies near the Longpan-Qiaohou and Honghe faults.The third branch crosses the research area from N-S and gradually extends from southeast to southwest and from shallow to deep.The three low-velocity anomaly distribution areas are likely the most severely deformed areas of the collision between the Qinghai-Xizang Plateau and Yangtze Block.The results provide a more detailed understanding of the deep structure of the western boundary of the Sichuan-Yunnan Block crustal low-velocity anomalies and reliable geophysical evidence for the morphology and continuity of crustal flows.展开更多
The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column coll...The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column collapse under different densities ambient fluids based on coupled computational fluid dynamics and discrete element method(CFD-DEM)analysis.Important fluid-particle interaction forces,such as the drag force and the buoyancy,are considered by exchanging interaction forces between the CFD and DEM computations.We focus on the flow and deposit characteristics of submerged granular column collapse,namely the runout distance,the tail end height,the particle velocity,the energy,and deposit morphology,which are analyzed qualitatively and quantitatively.The change in fluid field caused by submerged granular column collapse and the formation of eddies are also discussed.A relatively dense fluid can significantly hinder the motion of granular flow,but can improve the conversion efficiency of kinetic energy from the vertical to the horizontal direction.Moreover,the eddies caused by fluid turbulence erode the surface of the granular pile,which is especially marked in a high-density fluid.The findings can provide vital theoretical support for the flow and deposit characteristics of granular flow under fluid and offer insights for the study of reservoir landslides.展开更多
Islands are valuable land resources in the ocean,and their detailed subsurface seismic velocity structures are highly important for underground space utilization,engineering construction,and geological disaster preven...Islands are valuable land resources in the ocean,and their detailed subsurface seismic velocity structures are highly important for underground space utilization,engineering construction,and geological disaster prevention.Ambient noise tomography and the horizontal–vertical spectral ratio(HVSR)method use ambient noise recordings instead of earthquake signals to study the underground velocity structure,making them easy to implement on islands and consequently becoming potential optimization schemes for the investigation of detailed island structures.However,the application of these technologies to small granite islands along coasts is relatively insufficient,and the applicability needs to be further verified.This study ambient noise tomography and HVSR analysis were carried out by using a dense array of seismic data on Wuzhizhou Island,Hainan.It was found that natural activities mainly cause the ambient noise below 8 Hz on Wuzhizhou Island.Moreover,high-quality noise cross-correlation functions of 3–8 Hz can be extracted.The results of ambient noise tomography and HVSR analysis show that the underground S-wave velocity structure and sedimentary characteristics of Wuzhizhou Island are coupled with its topography.The high-terrain area of Wuzhizhou Island exhibits low-velocity anomalies,where a sedimentary layer did not develop.On the other hand,the low-terrain area of Wuzhizhou Island exhibits high-velocity anomalies,where a thin Quaternary sedimentary layer developed.These results imply that subsurface magmatic activity controls the island topography and affects the distribution of the island sedimentary layer.This study successfully verifies the feasibility of detection methods based on ambient noise in small granite islands along the coast.It also provides key basic information for studying the geological evolutionary history,island spatial planning,and geological disaster prevention of Wuzhizhou Island.展开更多
Ta-doped SnO_(2)(TTO)is a suitable candidate to replace transparent conductive oxide(TCO)composed of expensive indium used for optoelectronics and silicon heterojunction solar cells fabricated below 200℃.However,TTO ...Ta-doped SnO_(2)(TTO)is a suitable candidate to replace transparent conductive oxide(TCO)composed of expensive indium used for optoelectronics and silicon heterojunction solar cells fabricated below 200℃.However,TTO films fabricated by sputtering at low temperature still demonstrate too high resistance and optical absorptance for application in industry.In this study,we investigate the influence of sputtering ambient on the optoelectrical properties of TTO films.The addition of hydrogen and oxygen to argon during sputtering leads to a large improvement in the optoelectrical properties of TTO films.The best TTO film has a low average absorptance of 1.9%and a low resistance of 3.8×10^(-3)Ω·cm with a high carrier density of 9.3×10^(19)cm^(-3)and mobility of 17.8 cm^(2)·V^(-1)·s^(-1).The micros tructural and compositional properties of TTO films were characterized using x-ray diffraction,x-ray photoelectron spectroscopy and UV-Vis spectrophotometry.A proper ratio of hydrogen to oxygen in the sputtering gas improves the crystallinity and the doping efficiency of Ta.Optical absorptance is also reduced with suppressed formation of Sn(Ⅱ)in the TTO films.Therefore,our findings exhibit remarkable potential for the industrial application of TTO as a low-cost TCO.展开更多
Psychological distress detection plays a critical role in modern healthcare,especially in ambient environments where continuous monitoring is essential for timely intervention.Advances in sensor technology and artific...Psychological distress detection plays a critical role in modern healthcare,especially in ambient environments where continuous monitoring is essential for timely intervention.Advances in sensor technology and artificial intelligence(AI)have enabled the development of systems capable of mental health monitoring using multimodal data.However,existing models often struggle with contextual adaptation and real-time decision-making in dynamic settings.This paper addresses these challenges by proposing TRANS-HEALTH,a hybrid framework that integrates transformer-based inference with Belief-Desire-Intention(BDI)reasoning for real-time psychological distress detection.The framework utilizes a multimodal dataset containing EEG,GSR,heart rate,and activity data to predict distress while adapting to individual contexts.The methodology combines deep learning for robust pattern recognition and symbolic BDI reasoning to enable adaptive decision-making.The novelty of the approach lies in its seamless integration of transformermodelswith BDI reasoning,providing both high accuracy and contextual relevance in real time.Performance metrics such as accuracy,precision,recall,and F1-score are employed to evaluate the system’s performance.The results show that TRANS-HEALTH outperforms existing models,achieving 96.1% accuracy with 4.78 ms latency and significantly reducing false alerts,with an enhanced ability to engage users,making it suitable for deployment in wearable and remote healthcare environments.展开更多
The four-decade quest for synthesizing ambient-stable polymeric nitrogen,a promising high-energy-density material,remains an unsolved challenge in materials science.We develop a multi-stage computational strategy empl...The four-decade quest for synthesizing ambient-stable polymeric nitrogen,a promising high-energy-density material,remains an unsolved challenge in materials science.We develop a multi-stage computational strategy employing density functional tight-binding-based rapid screening combined with density functional theory refinement and global structure searching,effectively bridging computational efficiency with quantum accuracy.This integrated approach identifies four novel polymeric nitrogen phases(Fddd,P3221,I4m2,and𝑃P6522)that are thermodynamically stable at ambient pressure.Remarkably,the helical𝑃6522 configuration demonstrates exceptional thermal resilience up to 1500 K,representing a predicted polymeric nitrogen structure that maintains stability under both atmospheric pressure and high-temperature extremes.Our methodology establishes a paradigm-shifting framework for the accelerated discovery of metastable energetic materials,resolving critical bottlenecks in theoretical predictions while providing experimentally actionable targets for polymeric nitrogen synthesis.展开更多
基金financially supported by the National Science Foundation(No.CHE-1954838)supported by the National Science Foundation(award number ECCS-2025064)as part of the National Nanotechnology Coordinated Infrastructure(NNCI).
文摘Ammonia plays a critical role in our society,not only as the source for fertilizers and other essential chemicals,but also as a promising hydrogen carrier due to its high energy density and ease of storage and transportation.However,the conventional Haber-Bosch process is energy-intensive and costly.Developing a more energy efficient route for ammonia production is currently a holy grail in scientific society.This study reports a plasmonic semiconductor catalyst,molybdenum oxynitride(Mo2N/MoO_(2-x))nanosheet,that enables the ambient-pressure NH3 synthesis under light illumination.This catalyst achieves a remarkable NH3 production rate of 2338μmol·g^(-1)·h^(-1) at 400℃ and 857μmol·g^(-1)·h^(-1) at room temperature.Notably,we present the evidence for the coexistence of both nonthermal and photothermal effects,distinguishing this system from photothermally driven routes.This work demonstrates a viable pathway for NH3 production with low monetary and energetic investments and potential for distributed NH3 synthesis utilizing only water,air,and sunlight.
基金supported by the National Natural Science Foundation of China(41830103)the Project of Nanjing Center of China Geological Survey(DD20190281).
文摘Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imag-ing,significantly impacting geohazard prevention and control.Conventional dense-array studies,how-ever,require simultaneous observations of numerous stations for extensive coverage.To conduct a comprehensive karst feature investigation with limited stations,we designed a new synchronous-asyn-chronous observation system that facilitates dense array observations.We conducted two rounds of asynchronous observations,each lasting approximately 24 h,in combination with synchronous backbone stations.We achieved wide-ranging coverage of the study area utilizing 197 nodal receivers,with an average station spacing of 7 m.The beamforming results revealed distinct variations in the noise source distributions between day and night.We estimated the source strength in the stationary phase zone and used a weighting scheme for stacking the cross-correlation functions(C ^(1) functions)to suppress the influ-ence of nonuniform noise source distributions.The weights were derived from the similarity coefficients between multicomponent C^(1)functions related to Rayleigh waves.We employed the cross-correlation of C ^(1) functions(C^(2)methods)to obtain the empirical Green’s functions between asynchronous stations.To eliminate artifacts in C ^(2) functions from higher-mode surface waves in C^(1)functions,we filtered the C^(1)functions on the basis of different particle motions linked to multimode Rayleigh waves.The dispersion measurements of Rayleigh waves obtained from both the C^(1)and C^(2)functions were utilized in surface wave tomography.The inverted three-dimensional(3D)shear-wave(S-wave)velocity model reveals two significant low-velocity zones at depths ranging from 40 to 60 m,which align well with the karst caves found in the drilling data.The method of short-term synchronous-asynchronous ambient noise tomography shows promise as a cost-effective and efficient approach for urban geohazard investigations.
基金financially supported by the National Key Research and Development Program of China (2022YFC3005600)the Foundation of the Anhui Educational Commission (2023AH051198)+1 种基金the National Natural Science Foundation of China (42125401 and 42104063)the Joint Open Fund of Mengcheng National Geophysical Observatory (MENGO-202201)。
文摘The Tan-Lu Fault Zone is a large NNE-trending fault zone that has a substantial effect on the development of eastern China and its earthquake disaster prevention efforts. Aiming at the azimuthally anisotropic structure in the upper crust and seismogenic tectonics in the Hefei segment of this fault, we collected phase velocity dispersion data of fundamental mode Rayleigh waves from ambient noise cross-correlation functions of ~400 temporal seismographs in an area of approximately 80 × 70 km along the fault zone. The period band of the dispersion data was ~0.5–10 s. We inverted for the upper crustal three-dimensional(3-D) shear velocity model with azimuthal anisotropy from the surface to 10 km depth by using a 3-D direct azimuthal anisotropy inversion method. The inversion result shows the spatial distribution characteristics of the tectonic units in the upper crust. Additionally, the deformation of the Tan-Lu Fault Zone and its conjugated fault systems could be inferred from the anisotropy model. In particular, the faults that have remained active from the early and middle Pleistocene control the anisotropic characteristics of the upper crustal structure in this area. The direction of fast axes near the fault zone area in the upper crust is consistent with the strike of the faults, whereas for the region far away from the fault zone, the direction of fast axes is consistent with the direction of the regional principal stress caused by plate movement. Combined with the azimuthal anisotropy models in the deep crust and uppermost mantle from the surface wave and Pn wave, the different anisotropic patterns caused by the Tan-Lu Fault Zone and its conjugated fault system nearby are shown in the upper and lower crust. Furthermore,by using the double-difference method, we relocated the Lujiang earthquake series, which contained 32 earthquakes with a depth shallower than 10 km. Both the Vs model and earthquake relocation results indicate that earthquakes mostly occurred in the vicinity of structural boundaries with fractured media, with high-level development of cracks and small-scale faults jammed between more rigid areas.
文摘This study investigates the relationships between exposures to ambient air pollution—specifically particulate matter 2.5 (PM_(2.5)) and its metabolites—and the risk of depression.Nonlinear and linear regression,Bayesian kernel machine regression,and toxicogenomic analysis were key approaches.PM_(2.5)exposure was positively associated with the risk of developing depression,whereas phenylglyoxylic acid exposure was negatively associated with depression risk.We found a significant overall relationship between ambient air pollution and depression,particularly at the 55th and 60th percentiles.Although statistical significance was not reached at the 65th percentile,there was a noticeable upward trend,indicating a potential association.Interestingly,no significant connection was found between a combination of metabolites from ambient air pollution and depression.PM_(2.5)and phenylglyoxylic acid emerged as the most influential compounds in the models,respectively.PM_(2.5)exposure altered the expression of 42 specific targets associated with depression,especially POMC,SCL6A4,IL6,and SOD2.The study identified specific pathways related to insulin secretion,energy metabolism,blood circulation,tube diameter,and maintenance of blood vessel diameter,as well as key molecular mechanisms involving hsa-miR-124-3p,hsa-miR-155-5p,hsa-miR-16-5p,and SP1.These mechanisms were found to underlie the etiology of depression associated with PM_(2.5)exposure.In conclusions,PM_(2.5)and phenylglyoxylic acid were found to be associated with depression.Further work is needed to gain insight into the molecular mechanisms by which these chemicals affect depression,especially pathways related to insulin secretion and blood circulation.
基金the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number 445-9-687。
文摘Manipulating unintentional doping in graphene layers, which is influenced by environmental factors and supporting substrates, is of significant concern for the performance and advancement of graphene-based devices. In this context,laser-induced tuning of charge carriers in graphene facilitates the exploration of graphene's properties in relation to its surroundings and enables laser-assisted functionalization. This has the potential to advance optoelectronic devices that utilize graphene on transparent dielectric substrates, such as Al_(2)O_(3). In this work, laser power(PL) in Raman spectroscopy is used as a convenient contactless tool to manipulate and control unintentional carrier concentration and Fermi level position(EF) in graphene/α-Al_(2)O_(3)(G/Al_(2)O_(3)) under ambient conditions. Samples are annealed at 400℃ for two hours in an(Ar + H_(2)) atmosphere to remove any chemical residues. Analysis of the peak frequency(ω) and full width at half maximum(Γ) of the G and 2D bands show that G/Al_(2)O_(3) layers initially exhibit p-type doping, with EF located at ~100 me V below its Dirac charge-neutral point(DCNP). Increasing P_(L) results in effective carrier manipulation and raises E_F above DCNP. No significant internal stress is produced due to P_(L), as inferred from the strain-sensitive G^(*) band of graphene. Raman analysis of three successive cycles reveals hysteretic behavior from cycle to cycle, which is commonly reported to be limited by the type and density of the existing unintentional doping. Because of the ubiquitous nature of unintentional doping in graphene,manipulating it using contactless laser power to realize the desired graphene properties would be one of the best available practical approaches.
基金National science and technology signifi cant special(No.2024ZD1003406)Natural Science Research Project of Colleges and Universities in Anhui Province(No.2024AH050374)National Natural Science Foundation of China(Grant No.52274071).
文摘The advancement of intelligent mining in open-pit operations has imposed higher demands on geological transparency,aiming to provide a robust foundation for intelligent drilling and charging.In this study,a linear array of 120 nodal seismometers was deployed along the surfaces of the C8 and C9 platforms at Fenghuang Mountain to investigate cavities within the rock mass and prevent improper intelligent charging.The seismometers were 1 m apart along measurement lines,with a 2-m spacing between lines,and the monitoring time for each line was set at 2 h.This deployment was paired with spatial autocorrelation and station autocorrelation to analyze ambient noise seismic data and image the velocity and structure within the rock mass.The results demonstrate that the locations and sizes of cavities or loose structures can be accurately identified at the prepared excavation site.Compared with traditional geological exploration methods for openpit mines,the approach in this study off ers higher accuracy,greater efficiency,reduced labor intensity,and insensitivity to water conditions.Ambient noise seismic imaging for detecting adverse geological conditions in open-pit mines provides critical insights and references for intelligent mining advancements.
基金supported by the Key Research and Development Program of China(2021YFC3000704)Institute of Geophysics,China Earthquake Administration Grant DQJB23R18+1 种基金the USTC Research Funds of the Double First-Class Initiative(YD2080002012)NSFC Grant(U2239206)。
文摘Ambient noise tomography is an established technique in seismology,where calculating single-or ninecomponent noise cross-correlation functions(NCFs)is a fundamental first step.In this study,we introduced a novel CPU-GPU heterogeneous computing framework designed to significantly enhance the efficiency of computing 9-component NCFs from seismic ambient noise data.This framework not only accelerated the computational process by leveraging the Compute Unified Device Architecture(CUDA)but also improved the signal-to-noise ratio(SNR)through innovative stacking techniques,such as time-frequency domain phaseweighted stacking(tf-PWS).We validated the program using multiple datasets,confirming its superior computation speed,improved reliability,and higher signal-to-noise ratios for NCFs.Our comprehensive study provides detailed insights into optimizing the computational processes for noise cross-correlation functions,thereby enhancing the precision and efficiency of ambient noise imaging.
文摘BACKGROUND To investigate whether seasonal differences in ambient temperature affect the incidence of early postoperative cognitive dysfunction(POCD)among elderly patients undergoing laparoscopic surgery in tropical regions.Additionally,it explored the perioperative risk factors associated with early POCD following abdominal laparoscopic surgery.AIM To investigate the influence of seasonal differences in ambient temperature on POCD of elderly patients METHODS A total of 125 patients aged≥65 years from Hainan Province,China,who underwent laparoscopic surgery under general anesthesia with tracheal intubation,were enrolled. All patients completed the Mini-Mental State Examination one day before surgery and onpostoperative days 1, 3, and 7. A decline of ≥ 2 points from baseline was considered indicative of cognitivedysfunction. Serum levels of S100 calcium binding protein B and neuron-specific enolase were measured usingenzyme-linked immunosorbent assay at three time points: Preoperatively, immediately after extubation, and 24hours postoperatively. Perioperative clinical data were collected to identify potential risk factors for POCD.Propensity score matching (PSM) was performed (1:1, caliper = 0.03), resulting in 41 matched patient pairs betweenwinter and summer groups.RESULTSAfter PSM, baseline characteristics including age, gender, body mass index, education level, comorbidities, andsurgical variables were well balanced between groups. There were no significant differences in the incidence ofPOCD on postoperative days 1, 3, and 7 between patients undergoing laparoscopic surgery in winter vs summer.However, multivariable logistic regression revealed that surgical duration (day 1, P value = 0.049), advanced ageand elevated creatinine (day 3, P value = 0.044, P value = 0.008), and hypoalbuminemia (day 3, P value = 0.042;day7, P value = 0.015) were independently associated with early POCD.CONCLUSIONAmbient temperature differences between winter and summer in tropical regions did not significantly affect theincidence of early POCD in elderly patients undergoing laparoscopic surgery. Nonetheless, age, longer surgicalduration, elevated creatinine, and hypoalbuminemia emerged as key risk factors. These findings underscore theimportance of perioperative optimization to reduce the risk of POCD in elderly patients, regardless of seasonaltemperature variations.
文摘Neural stem cells(NSCs)play a fundamental role in generating diverse neuronal populations that contribute to the formation of intricate neural circuitry.Disturbances arising from intrinsic or extrinsic factors can alter the developmental behavior of NSCs and disrupt nervous system homeostasis.While intrinsic regulatory mechanisms have been elucidated extensively in invertebrate or vertebrate models,the regulatory mechanisms underlying extrinsic cues from the cellular environment remain poorly understood.This review synthesized recent research on cellular ambient effects,including the microenvironment,systemic environment and external factors,on NSCs in Drosophila.Key topics include spatial cues,NSC-glia interactions,long-distance regulation by tissues such as the fat body,and the external environmental stressors like irradiation or viral infection.By integrating these findings,this review provides new insights into how extrinsic signals shape NSCs and bridges gaps between foundational research and clinical translation.
基金supported by the National Natural Science Foundation of China(22478167,22278419)the College Students Innovative Practice Plan of Jiangsu University(202410299160Y)+2 种基金the Youth Talent Cultivation Plan of Jiangsu Universitythe Key Core Technology Research(Social Development)Foundation of Suzhou(2023ss06)Collaborative Innovation Center for Water Treatment Technology and Materials and the Special Fund of Henan Key Laboratory of Water Pollution Control and Rehabilitation Technology(CJSZ2024010).
文摘Catalytic oxidation of biomass-derived 5-hydroxymethylfurfural(HMF)to 2,5-furandicarboxylic acid(FDCA,an alternative bioplastic monomer to petroleum-derived terephthalic acid),has been identified as an important biomass conversion reaction in bio-based polyester industry.However,it is still challenging to acquire a high FDCA yield from the selective oxidation of HMF at low temperatures.Herein,a ternary metal-based catalyst was prepared by loading AuPdPt noble metal nanoparticles on the oxygen-rich vacancy titanium dioxide layer deposited on natural clay mineral halloysite nanotubes(HNTs),and the catalytic activity was examined for air-oxidation of HMF to FDCA in water at ambient temperature(30℃).By adjusting the Au/Pd/Pt ratio,a 93.6%FDCA yield was achieved with the optimal Au_(0.5)Pd_(0.2)Pt_(0.3)/TiO_(2)@HNTs catalyst,which revealed an impressive FDCA formation rate of 67.58 mmol g^(-1)h^(-1)and an excellent TOF value of 17.54 h^(-1)under normal air pressure at 30℃,surpassing the performance of mono-and bimetallic-based catalysts.Theoretical calculation and catalytic performance study clarified the structure-activity relationship.It was found that the ternary metal and oxygen vacancies revealing synergistic enhancement of ambient temperature catalyzed HMF air-oxidation via electronic structure tuning and adsorption intensification.DFT and kinetics study demonstrated that the presence of ternary metal significantly improved the adsorption capacity of substrate and enhanced the rate-determining step of the key intermediate 5-hydroxymethyl-2-furanocarboxylic acid(HMFCA)oxidation when compared to mono-and bimetal.Additionally,the TiO_(2)@HNTs support with high oxygen vacancy concentration facilitated the adsorption of oxygen,synergistically working with the ternary metal to activate and low the energy barriers for the generation of superoxide radical,thus enhancing the FDCA formation.This work offers a novel strategy for designing ternary metal-based catalysts for low-energy catalytic oxidation reactions.
基金supported by the National Key R&D Program of China(No.2024YFC3012902)the National Natural Science Foundation of China(No.42074070)supported by the Huai’an Earthquake Prevention and Disaster Reduction Service Center“Salt Cavern Exploration Project”(No.HAZC-2021050155-001)。
文摘Due to the lack of the three-dimensional structure of the Zhaoji Salt Basin,the salt mining enterprises have obvious clustering when choosing sites.Production capacity declines rapidly as mining deepens,and the enterprises are entering a stage of stagnation in production.In this study,a dense seismic array of 125 short-period stations was deployed around the core mining area and its vicinity of the salt mine industry,we used the ambient noise tomography(ANT)method to image the three-dimensional shear wave velocity structure at the depth shallower than 3 km.The results indicate:(1)The overall shear wave velocity in the study area is relatively lower,ranging from 0.8 to 1.8 km/s,which could be related to the loose and thick deposition of the Zhaoji sub-depression.(2)The three-dimensional shear wave velocity structure reveals that the sedimentary thickness of the Zhaoji sub-depression is deeper in the southeast and shallower in the northwest,with the sedimentary center located around Heping Town and Dahuangzhuang Town.(3)The Zhaoji salt mine is a low-velocity anomalous zone in the shear wave velocity structure with an inverse‘C'character spreading along Nanchenji Town and Zhaoji Town,with a depth ranging from approximately 1.2 to 2.8 km,it may be caused by the development of rock fissures due to water extraction and injection.The surrounding rock exhibits relatively high velocity,which reflects the morphological characteristics of the Zhaoji Salt Basin.The three-dimensional shear wave velocity model obtained in this study provides scientific guidance for the industrial exploitation of the Zhaoji salt mine and reference for salt exploration of the Hongze Salt Basin.It also provides an important basis for the seismic risk assessment of the salt basins.Simultaneously,it holds significant implications for exploring the application of ambient noise tomography method in spatial detection of salt mine belt.
文摘This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China.The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine,with station spacing ranging from 0.1 km to approximately 3 km.Using the causal and non-causal components of the Z-component cross-correlation function,along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay,stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz.We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes.In particular,when the relative seismic velocity increased by 0.23%,larger energy minequakes typically occurred.This study shows that ambient noise correlation has great potential for predicting minequakes,guiding pressure-relief production,and providing warnings about the impact of overburden pressure.
基金support from the National Natural Science Foundation of China(No.42474081)Basic Research Business of the Institute of Geophysics,China Earthquake Administration(Nos.DQJB 22R29 and DQJB19B30)Basic Research Business Special Project of the Earthquake Prediction Institute of the China Earthquake Administration(No.CEAIEF20220204).
文摘The Sichuan-Yunnan Block is located on the southeastern margin of the Qinghai-Xizang Plateau and has frequent seismic activity on the western border,posing a potential threat to human society and economic development.Therefore,it is important to understand its geological evolution,assess earthquake risks,and formulate scientific and reasonable disaster prevention and mitigation strategies.Using 23 months of continuous ambient noise records from 81 seismic stations,we obtained 1248 phasevelocity dispersion curves of the fundamental Rayleigh wave at 5–50 s.The three-dimensional(3D)S-wave velocity structure in the northwestern Sichuan-Yunnan Block was obtained by pure-path and depth inversion.The results show that three lowvelocity anomalous bands were distributed nearly north-to-south(N-S)at depths of 10–35 km.The overall shape of the lowvelocity channel gradually shifted from southeast to southwest because of the influence of the Panzhihua high-velocity blocks.The low-velocity strip consists of three branches,with the first branch extending southwest from the northern part of the Lancangjiang Fault.The second branch is distributed in the N-S direction and is blocked by two high-velocity bodies near the Longpan-Qiaohou and Honghe faults.The third branch crosses the research area from N-S and gradually extends from southeast to southwest and from shallow to deep.The three low-velocity anomaly distribution areas are likely the most severely deformed areas of the collision between the Qinghai-Xizang Plateau and Yangtze Block.The results provide a more detailed understanding of the deep structure of the western boundary of the Sichuan-Yunnan Block crustal low-velocity anomalies and reliable geophysical evidence for the morphology and continuity of crustal flows.
基金supported by the National Natural Science Foundation of China(No.51825905).
文摘The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column collapse under different densities ambient fluids based on coupled computational fluid dynamics and discrete element method(CFD-DEM)analysis.Important fluid-particle interaction forces,such as the drag force and the buoyancy,are considered by exchanging interaction forces between the CFD and DEM computations.We focus on the flow and deposit characteristics of submerged granular column collapse,namely the runout distance,the tail end height,the particle velocity,the energy,and deposit morphology,which are analyzed qualitatively and quantitatively.The change in fluid field caused by submerged granular column collapse and the formation of eddies are also discussed.A relatively dense fluid can significantly hinder the motion of granular flow,but can improve the conversion efficiency of kinetic energy from the vertical to the horizontal direction.Moreover,the eddies caused by fluid turbulence erode the surface of the granular pile,which is especially marked in a high-density fluid.The findings can provide vital theoretical support for the flow and deposit characteristics of granular flow under fluid and offer insights for the study of reservoir landslides.
基金supported by the geological survey project(Grant No.DD20220992,Grant No.DD20242841,Grant No.DD20230592 and Grant No.DD20220993)Innovation Foundation of Science and Technology for“Nanhai New Star”Projects(Grant No.NHXXRCXM202353)of Hainan province。
文摘Islands are valuable land resources in the ocean,and their detailed subsurface seismic velocity structures are highly important for underground space utilization,engineering construction,and geological disaster prevention.Ambient noise tomography and the horizontal–vertical spectral ratio(HVSR)method use ambient noise recordings instead of earthquake signals to study the underground velocity structure,making them easy to implement on islands and consequently becoming potential optimization schemes for the investigation of detailed island structures.However,the application of these technologies to small granite islands along coasts is relatively insufficient,and the applicability needs to be further verified.This study ambient noise tomography and HVSR analysis were carried out by using a dense array of seismic data on Wuzhizhou Island,Hainan.It was found that natural activities mainly cause the ambient noise below 8 Hz on Wuzhizhou Island.Moreover,high-quality noise cross-correlation functions of 3–8 Hz can be extracted.The results of ambient noise tomography and HVSR analysis show that the underground S-wave velocity structure and sedimentary characteristics of Wuzhizhou Island are coupled with its topography.The high-terrain area of Wuzhizhou Island exhibits low-velocity anomalies,where a sedimentary layer did not develop.On the other hand,the low-terrain area of Wuzhizhou Island exhibits high-velocity anomalies,where a thin Quaternary sedimentary layer developed.These results imply that subsurface magmatic activity controls the island topography and affects the distribution of the island sedimentary layer.This study successfully verifies the feasibility of detection methods based on ambient noise in small granite islands along the coast.It also provides key basic information for studying the geological evolutionary history,island spatial planning,and geological disaster prevention of Wuzhizhou Island.
基金Project supported by the Key-Area Research and Development Program of Guangdong Province,China(Grant No.2021B0101260001)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2019A1515110411)。
文摘Ta-doped SnO_(2)(TTO)is a suitable candidate to replace transparent conductive oxide(TCO)composed of expensive indium used for optoelectronics and silicon heterojunction solar cells fabricated below 200℃.However,TTO films fabricated by sputtering at low temperature still demonstrate too high resistance and optical absorptance for application in industry.In this study,we investigate the influence of sputtering ambient on the optoelectrical properties of TTO films.The addition of hydrogen and oxygen to argon during sputtering leads to a large improvement in the optoelectrical properties of TTO films.The best TTO film has a low average absorptance of 1.9%and a low resistance of 3.8×10^(-3)Ω·cm with a high carrier density of 9.3×10^(19)cm^(-3)and mobility of 17.8 cm^(2)·V^(-1)·s^(-1).The micros tructural and compositional properties of TTO films were characterized using x-ray diffraction,x-ray photoelectron spectroscopy and UV-Vis spectrophotometry.A proper ratio of hydrogen to oxygen in the sputtering gas improves the crystallinity and the doping efficiency of Ta.Optical absorptance is also reduced with suppressed formation of Sn(Ⅱ)in the TTO films.Therefore,our findings exhibit remarkable potential for the industrial application of TTO as a low-cost TCO.
基金funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R435),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Psychological distress detection plays a critical role in modern healthcare,especially in ambient environments where continuous monitoring is essential for timely intervention.Advances in sensor technology and artificial intelligence(AI)have enabled the development of systems capable of mental health monitoring using multimodal data.However,existing models often struggle with contextual adaptation and real-time decision-making in dynamic settings.This paper addresses these challenges by proposing TRANS-HEALTH,a hybrid framework that integrates transformer-based inference with Belief-Desire-Intention(BDI)reasoning for real-time psychological distress detection.The framework utilizes a multimodal dataset containing EEG,GSR,heart rate,and activity data to predict distress while adapting to individual contexts.The methodology combines deep learning for robust pattern recognition and symbolic BDI reasoning to enable adaptive decision-making.The novelty of the approach lies in its seamless integration of transformermodelswith BDI reasoning,providing both high accuracy and contextual relevance in real time.Performance metrics such as accuracy,precision,recall,and F1-score are employed to evaluate the system’s performance.The results show that TRANS-HEALTH outperforms existing models,achieving 96.1% accuracy with 4.78 ms latency and significantly reducing false alerts,with an enhanced ability to engage users,making it suitable for deployment in wearable and remote healthcare environments.
基金supported by the National Natural Science Foundation of China(Grant Nos.11974154,and 12304278)the Taishan Scholars Special Funding for Construction Projects(Grant No.tstp20230622)+1 种基金the Natural Science Foundation of Shandong Province(Grant Nos.ZR2022MA004,ZR2023QA127,and ZR2024QA121)the Special Foundation of Yantai for Leading Talents above Provincial Level。
文摘The four-decade quest for synthesizing ambient-stable polymeric nitrogen,a promising high-energy-density material,remains an unsolved challenge in materials science.We develop a multi-stage computational strategy employing density functional tight-binding-based rapid screening combined with density functional theory refinement and global structure searching,effectively bridging computational efficiency with quantum accuracy.This integrated approach identifies four novel polymeric nitrogen phases(Fddd,P3221,I4m2,and𝑃P6522)that are thermodynamically stable at ambient pressure.Remarkably,the helical𝑃6522 configuration demonstrates exceptional thermal resilience up to 1500 K,representing a predicted polymeric nitrogen structure that maintains stability under both atmospheric pressure and high-temperature extremes.Our methodology establishes a paradigm-shifting framework for the accelerated discovery of metastable energetic materials,resolving critical bottlenecks in theoretical predictions while providing experimentally actionable targets for polymeric nitrogen synthesis.
