In this study,the wave motion in elastodynamics for unbounded media is modeled using an unsplit-field perfectly matched layer(PML)formulation that is solved by employing an isogeometric analysis(IGA).In the adopted co...In this study,the wave motion in elastodynamics for unbounded media is modeled using an unsplit-field perfectly matched layer(PML)formulation that is solved by employing an isogeometric analysis(IGA).In the adopted combination,the non-uniform rational B-spline(NURBS)functions are employed as basis functions.Moreover,the unbounded and artificial domains,defined in the PML method,are contained in a single patch domain.Based on the proposed scheme,the approximation of the geometry problem is set in a new scheme in which the PML’s absorbing and attenuation properties and the description of traveling waves can be represented.This includes a higher continuity and smoother approximation of the computed domain.As high-order NURBS basis functions are non-interpolatory,a penalty method is present to apply a time-dependent displacement load.The performance of the NURBS-based PML is analyzed through numerical examples for 1D and 2D domains,considering homogeneous and heterogeneous media.Further,we verify the long-time numerical stability of the present method.The developed method can be used to simulate hypothetical stratified domains commonly encountered in soil-structure interaction analyses.展开更多
AIM:To compare analysis of the impact of high altitude on corneal endothelial cells,and the prognosis in patients with cataract surgeries.METHODS:Totally 265 plateau patients with cataract surgeries performed between ...AIM:To compare analysis of the impact of high altitude on corneal endothelial cells,and the prognosis in patients with cataract surgeries.METHODS:Totally 265 plateau patients with cataract surgeries performed between January 2019 and July 2022(average altitude=3000 m),and 524 plain patients with cataract surgeries performed between January 2020 and July 2022 were included.The propensity score matching(PSM)method was applied to match the basic information of patients in both regions on a 1:1 basis.Corneal endothelial cell density(ECD),coefficient of variation(CV),hexagonal cell ratio(HEX),duration of surgery,and pre-and postoperative visual acuity(VA)were compared retrospectively,and correlation tests were done.RESULTS:Totally 223 pairs have been matched successfully.The HEX in the plateau group was higher than that in the plain group(61.95%±6.191%vs 44.91%±6.829%,P<0.001).For ECD and CV,no significant differences were observed between both groups(P>0.1).The pre-and postoperative VA of patients with cataract surgeries in the plateau group were lower(1.40±0.610 vs 0.71±0.514,P<0.001&0.68±0.479 vs 0.18±0.259,P<0.001),and the duration of surgery was longer than those in the plain group(27.06±14.900 min vs 16.03±8.033 min,P<0.001).No significant associations were found between the post-operative VA and the corneal endothelial parameters(P>0.05),while the post-operative VA was significantly related to the pre-operative VA and the duration of surgery(P<0.05).CONCLUSION:The relative hypoxic environment of the plateau does not promote the apoptosis of corneal endothelial cells,but may lead to the compensatory increase of their functions.In plateau patients,no significant associations are found between the poor VA and the corneal endothelial functions early after cataract surgeries.展开更多
Objective The objective of our study was to evaluate the vaccine effectiveness(VE)of the pentavalent rotavirus vaccine(RV5)among<5-year-old children in three provinces of China during 2020-2024 via a propensity sco...Objective The objective of our study was to evaluate the vaccine effectiveness(VE)of the pentavalent rotavirus vaccine(RV5)among<5-year-old children in three provinces of China during 2020-2024 via a propensity score-matched test-negative case-control study.Methods Electronic health records and immunization information systems were used to obtain data on acute gastroenteritis(AGE)cases tested for rotavirus(RV)infection.RV-positive cases were propensity score matched with RV-negative controls for age,visit month,and province.Results The study included 27,472 children with AGE aged 8 weeks to 4 years at the time of AGE diagnosis;7.98%(2,192)were RV-positive.The VE(95%confidence interval,CI)of 1-2 and 3 doses of RV5 against any medically attended RV infection(inpatient or outpatient)was 57.6%(39.8%,70.2%)and 67.2%(60.3%,72.9%),respectively.Among children who received the 3rd dose before turning 5 months of age,3-dose VE decreased from 70.4%(53.9%,81.1%)(<5 months since the 3rd dose)to 63.0%(49.1%,73.0%)(≥1 year since the 3rd dose).The three-dose VE rate was 69.4%(41.3%,84.0%)for RVGE hospitalization and 57.5%(38.9%,70.5%)for outpatient-only medically attended RVGE.Conclusion Three-dose RV5 VE against rotavirus gastroenteritis(RVGE)in children aged<5 years was higher than 1-2-dose VE.Three-dose VE decreased with time since the 3rd dose in children who received the 3rd dose before turning five months of age,but remained above 60%for at least one year.VE was higher for RVGE hospitalizations than for medically attended outpatient visits.展开更多
BACKGROUND Retrocecal appendicitis,the most common anatomical type,presents diagnostic and surgical challenges.Single-port laparoscopic appendectomy(SPLA)has been proposed as an alternative to multi-port laparoscopic ...BACKGROUND Retrocecal appendicitis,the most common anatomical type,presents diagnostic and surgical challenges.Single-port laparoscopic appendectomy(SPLA)has been proposed as an alternative to multi-port laparoscopic appendectomy(MPLA)with advancements in minimally invasive surgery.However,few studies have compared the perioperative outcomes between the SPLA and MPLA for retrocecal appendicitis.AIM To compare the efficacy and safety between the SPLA and MPLA in treating retrocecal appendicitis,focusing on perioperative outcomes.METHODS This retrospective study analyzed data from 1041 patients who underwent SPLA or MPLA at Konyang University Hospital between October 2011 and February 2023.Propensity score matching(PSM)was used to minimize selection bias,resulting in 235 patients in each group.Additionally,non-inferiority tests,post-hoc analysis,and multivariable regression analysis were performed to validate the results and assess factors affecting postoperative outcomes.RESULTS After PSM,SPLA showed shorter operation time(43.8±15.8 minutes vs 51.6±18.7 minutes;P<0.001)and lower estimated blood loss(EBL,6.5±7.8 mL vs 8.6±8.3 mL;P<0.001)than MPLA.No significant differences were observed in complications,pain scores,or length of hospital stay.SPLA was not inferior to MPLA in the main outcomes,except for the complication rate,where statistical power was insufficient.Multivariable regression confirmed SPLA as an independent factor for operation time and EBL.CONCLUSION SPLA is more feasible than MPLA for retrocecal appendicitis,offering advantages in operation time and estimated blood loss.This study supports SPLA as a viable alternative that enhances postoperative recovery.展开更多
Photocatalytic CO_(2) reduction reaction is regarded as a potential strategy to convert greenhouse gases into valuable chemicals.However,achieving photocatalysts with high efficiency and target product selectivity und...Photocatalytic CO_(2) reduction reaction is regarded as a potential strategy to convert greenhouse gases into valuable chemicals.However,achieving photocatalysts with high efficiency and target product selectivity under visible light still faces great challenges.Herein,sub-2 nm RuO_(2)@TiO_(2)(RTO)nanorods with lattice matching interface are rationally designed and prepared via a hydrothermal reaction step-by-step.Due to the strong interaction of the lattice-matched interface with the Ru-O-Ti bond,new energy levels have emerged at the interface,leading to effective visible light absorbance.Moreover,the photo-generated electrons could be transferred to the RuO_(2) efficiently via the lattice-matched interface.As a result,the RTO photocatalyst exhibits superior CO_(2)-to-CH_(4) conversion performance of 15.6μmol g^(-1) with a selec-tivity of 87.9%under visible light irradiation.Density functional theory(DFT)calculation reveals that the energy barrier of CO*to CO is significantly higher than that of*CHO,resulting in the preferential produc-tion of CH_(4).This work provides an effective strategy for designing photocatalyst with promoted visible light absorption and improved product selectivity.展开更多
BACKGROUND Patients with inflammatory bowel disease(IBD)are at an increased risk of bacterial pneumonia,contributing to significant morbidity and mortality.While previous studies have identified various risk factors,i...BACKGROUND Patients with inflammatory bowel disease(IBD)are at an increased risk of bacterial pneumonia,contributing to significant morbidity and mortality.While previous studies have identified various risk factors,including medications and comorbidities,the independent contribution of IBD to pneumonia risk remains unclear.We hypothesized that the increased pneumonia risk is primarily driven by factors other than IBD itself.AIM To investigate the relative contributions of IBD,comorbidities,and medications to pneumonia risk in patients with IBD.METHODS We conducted a retrospective cohort study using the All of Us Research Program database(2010-2022).We matched 2810 participants with IBD 1:1 with controls using four propensity score models:(1)Demographics/Lifestyle only;(2)Plus comorbidities;(3)Plus medications;and(4)All factors combined.Then we used Cox proportional hazards models to assess pneumonia risk and logistic regression to evaluate risk factors.RESULTS In the primary analysis of 5620 matched participants,IBD was not independently associated with increased pneumonia risk[hazard ratio(HR)=1.07,95%CI:0.84-1.35]when matched for all factors.However,participants with IBD had significantly higher risk(HR=2.08,95%CI:1.56-2.78)when matched only for demographics and lifestyle factors.Within the IBD cohort,a high comorbidity burden(Charlson Comorbidity Index≥10)[odds ratio(OR)=12.20,95%CI:6.69-23.00]and systemic steroid use(OR=2.26,95%CI:1.21-4.64)were independently associated with increased pneumonia risk.CONCLUSION Comorbidities and systemic steroids,rather than IBD itself,drive pneumonia risk.Management should focus on these factors and prioritize vaccination in high-risk patients.展开更多
The nonsplitting perfectly matched layer （NPML） absorbing boundary condition （ABC） was first provided by Wang and Tang （2003） for the finite-difference simulation of elastic wave propagation in solids. In this p...The nonsplitting perfectly matched layer （NPML） absorbing boundary condition （ABC） was first provided by Wang and Tang （2003） for the finite-difference simulation of elastic wave propagation in solids. In this paper, the method is developed to extend the NPML to simulating elastic wave propagation in poroelastic media. Biot＇s equations are discretized and approximated to a staggered-grid by applying a fourth-order accurate central difference in space and a second-order accurate central difference in time. A cylindrical twolayer seismic model and a borehole model are chosen to validate the effectiveness of the NPML. The results show that the numerical solutions agree well with the solutions of the discrete wavenumber （DW） method.展开更多
Reverse-time migration in finite space requires effective boundary processing technology to eliminate the artificial truncation boundary effect in the migration result.On the basis of the elastic velocity-stress equat...Reverse-time migration in finite space requires effective boundary processing technology to eliminate the artificial truncation boundary effect in the migration result.On the basis of the elastic velocity-stress equations in vertical transversely isotropic media and the idea of the conventional split perfectly matched layer（PML）,the PML wave equations in reverse-time migration are derived in this paper and then the high order staggered grid discrete schemes are subsequently given.Aiming at the＂reflections＂from the boundary to the computational domain,as well as the effect of seismic event＇s abrupt changes at the two ends of the seismic array,the PML arrangement in reverse-time migration is given.The synthetic and real elastic,prestack,multi-component,reverse-time depth migration results demonstrate that this method has much better absorbing effects than other methods and the joint migration produces good imaging results.展开更多
The perfectly matched layer （PML） is a highly efficient absorbing boundary condition used for the numerical modeling of seismic wave equation. The article focuses on the application of this technique to finite-eleme...The perfectly matched layer （PML） is a highly efficient absorbing boundary condition used for the numerical modeling of seismic wave equation. The article focuses on the application of this technique to finite-element time-domain numerical modeling of elastic wave equation. However, the finite-element time-domain scheme is based on the second- order wave equation in displacement formulation. Thus, the first-order PML in velocity-stress formulation cannot be directly applied to this scheme. In this article, we derive the finite- element matrix equations of second-order PML in displacement formulation, and accomplish the implementation of PML in finite-element time-domain modeling of elastic wave equation. The PML has an approximate zero reflection coefficients for bulk and surface waves in the finite-element modeling of P-SV and SH wave propagation in the 2D homogeneous elastic media. The numerical experiments using a two-layer model with irregular topography validate the efficiency of PML in the modeling of seismic wave propagation in geological models with complex structures and heterogeneous media.展开更多
Based on the principle of the neuron MOS device,a novel matched filter structure which is easily realized by neuron MOS is presented and the details of circuit performance is analyzed.Compared to the conventional stru...Based on the principle of the neuron MOS device,a novel matched filter structure which is easily realized by neuron MOS is presented and the details of circuit performance is analyzed.Compared to the conventional structure,the number of circuit elements is decreased greatly for the same function.The test chip is fabricated in 0.35μm process,and the measured result shows that the system structure is feasible and effective.展开更多
As an efficient artificial truncating boundary condition, conformal perfectly matched layer (CPML) is a kind of multilayer anisotropic absorbing media. To reduce computing effort of CPML, this article proposes a layer...As an efficient artificial truncating boundary condition, conformal perfectly matched layer (CPML) is a kind of multilayer anisotropic absorbing media. To reduce computing effort of CPML, this article proposes a layer-oriented element integration algorithm. In this algorithm, the relative dielectric constant and permeability are considered as constants for each the very thin monolayer of CPML, and the element integration of multilayer along the normal direction is substituted by the element integration of m...展开更多
The selection of a suitable navigation area is pivotal in aircraft scene matching guidance technology.This study addresses the challenge of identifying suitable reference image ranges for precise scene matching,which ...The selection of a suitable navigation area is pivotal in aircraft scene matching guidance technology.This study addresses the challenge of identifying suitable reference image ranges for precise scene matching,which is crucial for enhancing aircraft positioning accuracy.Traditional methods for image matchability analysis are often limited by their reliance on manual feature parameter design and threshold-based filtering,resulting in suboptimal accuracy and efficiency.This paper proposes a novel network architecture for selecting suitable navigation areas using image Matching Level Segmentation(MLSNet).The approach involves two key innovations:a method for generating segmentation labels that quantify matchability levels and an end-to-end network architecture for rapid and precise prediction of reference image matchability segmentation maps.The network includes two core modules:the saliency analysis module uses multi-layer convolutional networks to accurately detect image saliency features across various levels and scales;the multidimensional attention module utilizes attention mechanisms to focus on feature channels and spatial neighborhood scenes to assess the image’s matchability.Our method was rigorously tested on an extensive collection of remote sensing images,where it was benchmarked against a range of both traditional and cutting-edge deep learning methods.The findings indicate that MLSNet is significantly superior to traditional methods in accuracy and efficiency of matchability analysis,and is also relatively ahead of state-of-the-art deep learning models.展开更多
Many bird species are known to differ in their vocal repertoires between populations across a range of geographic scales.This is generally assumed to be caused by acoustic drift and social learning of small difference...Many bird species are known to differ in their vocal repertoires between populations across a range of geographic scales.This is generally assumed to be caused by acoustic drift and social learning of small differences in songs among individuals in separate populations.To determine the extent to which vocal repertoire is structured in a highly nomadic species with a low degree of isolation among populations,we characterized the vocalizations of the'Apapane(Himatione sanguinea)and described the variations in its songs on a microgeographic scale.'Apapane had significant shifts in their songs in both fragmented and non-fragmented forest habitats,with little to no overlap in song meme structure within distances as short as 2 km,despite birds moving freely between areas with distinct songs.Forest fragments had unique song compositions and shared more syllables with closer fragments than with the ones further apart.Furthermore,microgeographic variation was relatively stable at a given recording location even over multiple years.This pattern of song differentiation in a highly mobile species at the microgeographic scale may be a consequence of their ability to learn new vocalizations over their life and of intraspecific mimicry,or“vocal matching”by individuals visiting other populations.展开更多
Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudass...Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudassisted architecture faces two critical challenges:the untrusted cloud services and the separation of data ownership from control.Although Attribute-based Searchable Encryption(ABSE)provides fine-grained access control and keyword search over encrypted data,existing schemes lack of error tolerance in exact multi-keyword matching.In this paper,we proposed an attribute-based multi-keyword fuzzy searchable encryption with forward ciphertext search(FCS-ABMSE)scheme that avoids computationally expensive bilinear pairing operations on the IoT device side.The scheme supportsmulti-keyword fuzzy search without requiring explicit keyword fields,thereby significantly enhancing error tolerance in search operations.It further incorporates forward-secure ciphertext search to mitigate trapdoor abuse,as well as offline encryption and verifiable outsourced decryption to minimize user-side computational costs.Formal security analysis proved that the FCS-ABMSE scheme meets both indistinguishability of ciphertext under the chosen keyword attacks(IND-CKA)and the indistinguishability of ciphertext under the chosen plaintext attacks(IND-CPA).In addition,we constructed an enhanced variant based on type-3 pairings.Results demonstrated that the proposed scheme outperforms existing ABSE approaches in terms of functionalities,computational cost,and communication cost.展开更多
Stereo matching is a pivotal task in computer vision,enabling precise depth estimation from stereo image pairs,yet it encounters challenges in regions with reflections,repetitive textures,or fine structures.In this pa...Stereo matching is a pivotal task in computer vision,enabling precise depth estimation from stereo image pairs,yet it encounters challenges in regions with reflections,repetitive textures,or fine structures.In this paper,we propose a Semantic-Guided Parallax Attention Stereo Matching Network(SGPASMnet)that can be trained in unsupervised manner,building upon the Parallax Attention Stereo Matching Network(PASMnet).Our approach leverages unsupervised learning to address the scarcity of ground truth disparity in stereo matching datasets,facilitating robust training across diverse scene-specific datasets and enhancing generalization.SGPASMnet incorporates two novel components:a Cross-Scale Feature Interaction(CSFI)block and semantic feature augmentation using a pre-trained semantic segmentation model,SegFormer,seamlessly embedded into the parallax attention mechanism.The CSFI block enables effective fusion ofmulti-scale features,integrating coarse and fine details to enhance disparity estimation accuracy.Semantic features,extracted by SegFormer,enrich the parallax attention mechanism by providing high-level scene context,significantly improving performance in ambiguous regions.Our model unifies these enhancements within a cohesive architecture,comprising semantic feature extraction,an hourglass network,a semantic-guided cascaded parallax attentionmodule,outputmodule,and a disparity refinement network.Evaluations on the KITTI2015 dataset demonstrate that our unsupervised method achieves a lower error rate compared to the original PASMnet,highlighting the effectiveness of our enhancements in handling complex scenes.By harnessing unsupervised learning without ground truth disparity needed,SGPASMnet offers a scalable and robust solution for accurate stereo matching,with superior generalization across varied real-world applications.展开更多
In the era of the Internet of Things,distributed computing alleviates the problem of insufficient terminal computing power by integrating idle resources of heterogeneous devices.However,the imbalance between task exec...In the era of the Internet of Things,distributed computing alleviates the problem of insufficient terminal computing power by integrating idle resources of heterogeneous devices.However,the imbalance between task execution delay and node energy consumption,and the scheduling and adaptation challenges brought about by device heterogeneity,urgently need to be addressed.To tackle this problem,this paper constructs a multi-objective real-time task scheduling model that considers task real-time performance,execution delay,system energy consumption,and node interests.The model aims to minimize the delay upper bound and total energy consumption while maximizing system satisfaction.A real-time task scheduling algorithm based on bilateral matching game is proposed.By designing a bidirectional preference mechanism between tasks and computing nodes,combined with a multi-round stable matching strategy,accurate matching between tasks and nodes is achieved.Simulation results show that compared with the baseline scheme,the proposed algorithm significantly reduces the total execution cost,effectively balances the task execution delay and the energy consumption of compute nodes,and takes into account the interests of each network compute node.展开更多
Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosupp...Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.展开更多
Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,w...Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,we propose HUANNet(High-Resolution Unified Attention Network),a convolutional neural network designed to capture both local features and rich semantic information through a high-resolution representation learning framework,while optimizing computational distribution across parallel branches.HUANNet introduces three core modules:the High-Resolution Attention Module(HRAM),which enhances feature extraction by optimizing multiresolution feature fusion;the Unified Multi-Scale Attention Module(UMAM),which integrates spatial,channel,and convolutional kernel information through an attention mechanism applied across multiple levels of the network;and the Grid-Assisted Point Matching Module(GPMM),which stabilizes and improves point-to-point matching by leveraging grid-based mechanisms.Extensive experiments show that HUANNet achieves competitive results on the ShanghaiTech Part A/B crowd counting datasets and sets new state-of-the-art performance on dense object counting datasets such as CARPK and XRAY-IECCD,demonstrating the effectiveness and versatility of HUANNet.展开更多
In this article,a graphic design method for broadband Doherty power amplifier(DPA) is proposed based on the basic principle of impedance matching with the help of Smith chart.The proposed graphic method avoids the com...In this article,a graphic design method for broadband Doherty power amplifier(DPA) is proposed based on the basic principle of impedance matching with the help of Smith chart.The proposed graphic method avoids the complex formula derivation in the traditional amplifier circuit design process,and the design process is more simple and intuitive.Besides,it only takes three steps to build the load modulation network(LMN) of two power amplifiers(PA) of the DPA.Besides,a capacitor is used to replace the parasitic parameters of the transistor,and the LMN designed in the two modes is used for exploration and comparison.Further more,the output impedance of the peaking PA is introduced to make the reflection coefficient trajectory on Smith chart lowfrequency dispersion so as to expand the bandwidth of the DPA at the output power back-off(OBO) level.It would not affect the performance of DPA in the saturation(SAT) state.In this way,a broadband DPA can be implemented easily.To validate the proposed design method,a broadband DPA operating from 1.9to 2.6 GHz is designed and measured based on the proposed method.Under the continuous-wave excitation,the fabricated DPA has a 6 dB OBO efficiency of 48%-56% and a SAT efficiency of 64%-73% from 1.75 to 2.45 GHz,and the peak output power is 48.9-49.8 dBm.展开更多
Carbon Capture,Utilization,and Storage(CCUS)technology has gained widespread attention in recent years as a critical strategy to combat global climate change,particularly in achieving carbon neutrality goals.The Guang...Carbon Capture,Utilization,and Storage(CCUS)technology has gained widespread attention in recent years as a critical strategy to combat global climate change,particularly in achieving carbon neutrality goals.The Guangdong-Hong Kong-Macao Greater Bay Area(GBA),as one of China's most economically active regions,serves as a key engine for economic growth while also facing considerable carbon emission challenges.This study analyzes the industrial emission volume and geographical distribution of key emitting enterprises in the GBA,summarizes their technological processes and main carbonemitting equipment,and provides scientific support for precise mitigation policies and low-carbon development.Based on data from 176 key emitting enterprises,the study reveals that Guangzhou and Dongguan host the largest number of such enterprises.Carbon emissions are primarily concentrated in the power sector,dominated by coal-and gas-fired power units,characterized by significant spatial dispersion and uneven distribution.Beyond the power sector,the paper industry has a high number of enterprises but lower emissions.Key facilities such as boilers,cogeneration systems,and production lines are predominantly located near tributaries rivers in Dongguan and Jiangmen.The building materials sector,primarily cement production,ranks as the second-largest emitter,with hightemperature kilns and grinding equipment,particularly rotary kilns and glass furnaces,as the main sources.The petrochemical and chemical sectors have fewer enterprises and lower emissions in the GBA,mainly located in suburban industrial clusters.Carbon emissions in the GBA exhibit distinct industry concentration and geographical distribution disparities.This study provides crucial data and theoretical insights for the development of targeted emission reduction strategies,optimization of source-sink matching,and the advancement of CCUS technologies in the region,particularly from the GBA to the northern South China Sea.展开更多
文摘In this study,the wave motion in elastodynamics for unbounded media is modeled using an unsplit-field perfectly matched layer(PML)formulation that is solved by employing an isogeometric analysis(IGA).In the adopted combination,the non-uniform rational B-spline(NURBS)functions are employed as basis functions.Moreover,the unbounded and artificial domains,defined in the PML method,are contained in a single patch domain.Based on the proposed scheme,the approximation of the geometry problem is set in a new scheme in which the PML’s absorbing and attenuation properties and the description of traveling waves can be represented.This includes a higher continuity and smoother approximation of the computed domain.As high-order NURBS basis functions are non-interpolatory,a penalty method is present to apply a time-dependent displacement load.The performance of the NURBS-based PML is analyzed through numerical examples for 1D and 2D domains,considering homogeneous and heterogeneous media.Further,we verify the long-time numerical stability of the present method.The developed method can be used to simulate hypothetical stratified domains commonly encountered in soil-structure interaction analyses.
文摘AIM:To compare analysis of the impact of high altitude on corneal endothelial cells,and the prognosis in patients with cataract surgeries.METHODS:Totally 265 plateau patients with cataract surgeries performed between January 2019 and July 2022(average altitude=3000 m),and 524 plain patients with cataract surgeries performed between January 2020 and July 2022 were included.The propensity score matching(PSM)method was applied to match the basic information of patients in both regions on a 1:1 basis.Corneal endothelial cell density(ECD),coefficient of variation(CV),hexagonal cell ratio(HEX),duration of surgery,and pre-and postoperative visual acuity(VA)were compared retrospectively,and correlation tests were done.RESULTS:Totally 223 pairs have been matched successfully.The HEX in the plateau group was higher than that in the plain group(61.95%±6.191%vs 44.91%±6.829%,P<0.001).For ECD and CV,no significant differences were observed between both groups(P>0.1).The pre-and postoperative VA of patients with cataract surgeries in the plateau group were lower(1.40±0.610 vs 0.71±0.514,P<0.001&0.68±0.479 vs 0.18±0.259,P<0.001),and the duration of surgery was longer than those in the plain group(27.06±14.900 min vs 16.03±8.033 min,P<0.001).No significant associations were found between the post-operative VA and the corneal endothelial parameters(P>0.05),while the post-operative VA was significantly related to the pre-operative VA and the duration of surgery(P<0.05).CONCLUSION:The relative hypoxic environment of the plateau does not promote the apoptosis of corneal endothelial cells,but may lead to the compensatory increase of their functions.In plateau patients,no significant associations are found between the poor VA and the corneal endothelial functions early after cataract surgeries.
基金the Study on Vaccine Application Evaluation Strategies and Capacity Building (INV-006373)the National Key R&D Program of China(2024YFC2310604)
文摘Objective The objective of our study was to evaluate the vaccine effectiveness(VE)of the pentavalent rotavirus vaccine(RV5)among<5-year-old children in three provinces of China during 2020-2024 via a propensity score-matched test-negative case-control study.Methods Electronic health records and immunization information systems were used to obtain data on acute gastroenteritis(AGE)cases tested for rotavirus(RV)infection.RV-positive cases were propensity score matched with RV-negative controls for age,visit month,and province.Results The study included 27,472 children with AGE aged 8 weeks to 4 years at the time of AGE diagnosis;7.98%(2,192)were RV-positive.The VE(95%confidence interval,CI)of 1-2 and 3 doses of RV5 against any medically attended RV infection(inpatient or outpatient)was 57.6%(39.8%,70.2%)and 67.2%(60.3%,72.9%),respectively.Among children who received the 3rd dose before turning 5 months of age,3-dose VE decreased from 70.4%(53.9%,81.1%)(<5 months since the 3rd dose)to 63.0%(49.1%,73.0%)(≥1 year since the 3rd dose).The three-dose VE rate was 69.4%(41.3%,84.0%)for RVGE hospitalization and 57.5%(38.9%,70.5%)for outpatient-only medically attended RVGE.Conclusion Three-dose RV5 VE against rotavirus gastroenteritis(RVGE)in children aged<5 years was higher than 1-2-dose VE.Three-dose VE decreased with time since the 3rd dose in children who received the 3rd dose before turning five months of age,but remained above 60%for at least one year.VE was higher for RVGE hospitalizations than for medically attended outpatient visits.
文摘BACKGROUND Retrocecal appendicitis,the most common anatomical type,presents diagnostic and surgical challenges.Single-port laparoscopic appendectomy(SPLA)has been proposed as an alternative to multi-port laparoscopic appendectomy(MPLA)with advancements in minimally invasive surgery.However,few studies have compared the perioperative outcomes between the SPLA and MPLA for retrocecal appendicitis.AIM To compare the efficacy and safety between the SPLA and MPLA in treating retrocecal appendicitis,focusing on perioperative outcomes.METHODS This retrospective study analyzed data from 1041 patients who underwent SPLA or MPLA at Konyang University Hospital between October 2011 and February 2023.Propensity score matching(PSM)was used to minimize selection bias,resulting in 235 patients in each group.Additionally,non-inferiority tests,post-hoc analysis,and multivariable regression analysis were performed to validate the results and assess factors affecting postoperative outcomes.RESULTS After PSM,SPLA showed shorter operation time(43.8±15.8 minutes vs 51.6±18.7 minutes;P<0.001)and lower estimated blood loss(EBL,6.5±7.8 mL vs 8.6±8.3 mL;P<0.001)than MPLA.No significant differences were observed in complications,pain scores,or length of hospital stay.SPLA was not inferior to MPLA in the main outcomes,except for the complication rate,where statistical power was insufficient.Multivariable regression confirmed SPLA as an independent factor for operation time and EBL.CONCLUSION SPLA is more feasible than MPLA for retrocecal appendicitis,offering advantages in operation time and estimated blood loss.This study supports SPLA as a viable alternative that enhances postoperative recovery.
基金supported by the National Natu-ral Science Foundation of China(Nos.52272222,52072197,and 52102272)the Natural Science Foundation of Shandong Province(No.ZR2021QE063)+2 种基金Taishan Scholar Young Talent Program(No.tsqn201909114)Shandong Province“Double-Hundred Talent Plan”(No.WST2020003)Talent Foundation Funded by Province Ministry Co-construction Collaborative Innovation Center of Eco-chemical Engineering(No.STHGYX2213).
文摘Photocatalytic CO_(2) reduction reaction is regarded as a potential strategy to convert greenhouse gases into valuable chemicals.However,achieving photocatalysts with high efficiency and target product selectivity under visible light still faces great challenges.Herein,sub-2 nm RuO_(2)@TiO_(2)(RTO)nanorods with lattice matching interface are rationally designed and prepared via a hydrothermal reaction step-by-step.Due to the strong interaction of the lattice-matched interface with the Ru-O-Ti bond,new energy levels have emerged at the interface,leading to effective visible light absorbance.Moreover,the photo-generated electrons could be transferred to the RuO_(2) efficiently via the lattice-matched interface.As a result,the RTO photocatalyst exhibits superior CO_(2)-to-CH_(4) conversion performance of 15.6μmol g^(-1) with a selec-tivity of 87.9%under visible light irradiation.Density functional theory(DFT)calculation reveals that the energy barrier of CO*to CO is significantly higher than that of*CHO,resulting in the preferential produc-tion of CH_(4).This work provides an effective strategy for designing photocatalyst with promoted visible light absorption and improved product selectivity.
基金Supported by The Interdisciplinary Guided Network for Investigation,Translation and Equity for the All of Us Research Program,No.OT2 OD031915.
文摘BACKGROUND Patients with inflammatory bowel disease(IBD)are at an increased risk of bacterial pneumonia,contributing to significant morbidity and mortality.While previous studies have identified various risk factors,including medications and comorbidities,the independent contribution of IBD to pneumonia risk remains unclear.We hypothesized that the increased pneumonia risk is primarily driven by factors other than IBD itself.AIM To investigate the relative contributions of IBD,comorbidities,and medications to pneumonia risk in patients with IBD.METHODS We conducted a retrospective cohort study using the All of Us Research Program database(2010-2022).We matched 2810 participants with IBD 1:1 with controls using four propensity score models:(1)Demographics/Lifestyle only;(2)Plus comorbidities;(3)Plus medications;and(4)All factors combined.Then we used Cox proportional hazards models to assess pneumonia risk and logistic regression to evaluate risk factors.RESULTS In the primary analysis of 5620 matched participants,IBD was not independently associated with increased pneumonia risk[hazard ratio(HR)=1.07,95%CI:0.84-1.35]when matched for all factors.However,participants with IBD had significantly higher risk(HR=2.08,95%CI:1.56-2.78)when matched only for demographics and lifestyle factors.Within the IBD cohort,a high comorbidity burden(Charlson Comorbidity Index≥10)[odds ratio(OR)=12.20,95%CI:6.69-23.00]and systemic steroid use(OR=2.26,95%CI:1.21-4.64)were independently associated with increased pneumonia risk.CONCLUSION Comorbidities and systemic steroids,rather than IBD itself,drive pneumonia risk.Management should focus on these factors and prioritize vaccination in high-risk patients.
基金This research was supported by Natural Science Foundation of China (No. 403740043).
文摘The nonsplitting perfectly matched layer （NPML） absorbing boundary condition （ABC） was first provided by Wang and Tang （2003） for the finite-difference simulation of elastic wave propagation in solids. In this paper, the method is developed to extend the NPML to simulating elastic wave propagation in poroelastic media. Biot＇s equations are discretized and approximated to a staggered-grid by applying a fourth-order accurate central difference in space and a second-order accurate central difference in time. A cylindrical twolayer seismic model and a borehole model are chosen to validate the effectiveness of the NPML. The results show that the numerical solutions agree well with the solutions of the discrete wavenumber （DW） method.
基金supported by the 863 Program(Grant No.2006AA06Z202)Open Fund of the Key Laboratory of Geophysical Exploration of CNPC(Grant No.GPKL0802)+1 种基金CNPC Young Innovation Fund(Grant No.05E7028)the Program for New Century Excellent Talents in University(Grant No.NCET-07-0845)
文摘Reverse-time migration in finite space requires effective boundary processing technology to eliminate the artificial truncation boundary effect in the migration result.On the basis of the elastic velocity-stress equations in vertical transversely isotropic media and the idea of the conventional split perfectly matched layer（PML）,the PML wave equations in reverse-time migration are derived in this paper and then the high order staggered grid discrete schemes are subsequently given.Aiming at the＂reflections＂from the boundary to the computational domain,as well as the effect of seismic event＇s abrupt changes at the two ends of the seismic array,the PML arrangement in reverse-time migration is given.The synthetic and real elastic,prestack,multi-component,reverse-time depth migration results demonstrate that this method has much better absorbing effects than other methods and the joint migration produces good imaging results.
基金sponsored by the National Natural Science Foundation of China Research(Grant No.41274138)the Science Foundation of China University of Petroleum(Beijing)(No.KYJJ2012-05-02)
文摘The perfectly matched layer （PML） is a highly efficient absorbing boundary condition used for the numerical modeling of seismic wave equation. The article focuses on the application of this technique to finite-element time-domain numerical modeling of elastic wave equation. However, the finite-element time-domain scheme is based on the second- order wave equation in displacement formulation. Thus, the first-order PML in velocity-stress formulation cannot be directly applied to this scheme. In this article, we derive the finite- element matrix equations of second-order PML in displacement formulation, and accomplish the implementation of PML in finite-element time-domain modeling of elastic wave equation. The PML has an approximate zero reflection coefficients for bulk and surface waves in the finite-element modeling of P-SV and SH wave propagation in the 2D homogeneous elastic media. The numerical experiments using a two-layer model with irregular topography validate the efficiency of PML in the modeling of seismic wave propagation in geological models with complex structures and heterogeneous media.
文摘Based on the principle of the neuron MOS device,a novel matched filter structure which is easily realized by neuron MOS is presented and the details of circuit performance is analyzed.Compared to the conventional structure,the number of circuit elements is decreased greatly for the same function.The test chip is fabricated in 0.35μm process,and the measured result shows that the system structure is feasible and effective.
基金National Natural Science Foundation of China (10477018) Science and Technology Innovation Foundation of North-western Polytechnical University (W016143)
文摘As an efficient artificial truncating boundary condition, conformal perfectly matched layer (CPML) is a kind of multilayer anisotropic absorbing media. To reduce computing effort of CPML, this article proposes a layer-oriented element integration algorithm. In this algorithm, the relative dielectric constant and permeability are considered as constants for each the very thin monolayer of CPML, and the element integration of multilayer along the normal direction is substituted by the element integration of m...
基金supported in part by the National Natural Science Foundation of China(No.42271446)in part by the Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-Temporary Big Data Technology,China(No.TKL2024B13)in part by the Science and Technology Program of Tianjin,China(No.24YFYSHZ00080)。
文摘The selection of a suitable navigation area is pivotal in aircraft scene matching guidance technology.This study addresses the challenge of identifying suitable reference image ranges for precise scene matching,which is crucial for enhancing aircraft positioning accuracy.Traditional methods for image matchability analysis are often limited by their reliance on manual feature parameter design and threshold-based filtering,resulting in suboptimal accuracy and efficiency.This paper proposes a novel network architecture for selecting suitable navigation areas using image Matching Level Segmentation(MLSNet).The approach involves two key innovations:a method for generating segmentation labels that quantify matchability levels and an end-to-end network architecture for rapid and precise prediction of reference image matchability segmentation maps.The network includes two core modules:the saliency analysis module uses multi-layer convolutional networks to accurately detect image saliency features across various levels and scales;the multidimensional attention module utilizes attention mechanisms to focus on feature channels and spatial neighborhood scenes to assess the image’s matchability.Our method was rigorously tested on an extensive collection of remote sensing images,where it was benchmarked against a range of both traditional and cutting-edge deep learning methods.The findings indicate that MLSNet is significantly superior to traditional methods in accuracy and efficiency of matchability analysis,and is also relatively ahead of state-of-the-art deep learning models.
基金supported by the Spanish Ministry of ScienceInnovation and Universities(MCIN/AEI/10.13039/501100011033,grant number:RYC2019-027216-I)by ESF Investing in your future。
文摘Many bird species are known to differ in their vocal repertoires between populations across a range of geographic scales.This is generally assumed to be caused by acoustic drift and social learning of small differences in songs among individuals in separate populations.To determine the extent to which vocal repertoire is structured in a highly nomadic species with a low degree of isolation among populations,we characterized the vocalizations of the'Apapane(Himatione sanguinea)and described the variations in its songs on a microgeographic scale.'Apapane had significant shifts in their songs in both fragmented and non-fragmented forest habitats,with little to no overlap in song meme structure within distances as short as 2 km,despite birds moving freely between areas with distinct songs.Forest fragments had unique song compositions and shared more syllables with closer fragments than with the ones further apart.Furthermore,microgeographic variation was relatively stable at a given recording location even over multiple years.This pattern of song differentiation in a highly mobile species at the microgeographic scale may be a consequence of their ability to learn new vocalizations over their life and of intraspecific mimicry,or“vocal matching”by individuals visiting other populations.
文摘Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudassisted architecture faces two critical challenges:the untrusted cloud services and the separation of data ownership from control.Although Attribute-based Searchable Encryption(ABSE)provides fine-grained access control and keyword search over encrypted data,existing schemes lack of error tolerance in exact multi-keyword matching.In this paper,we proposed an attribute-based multi-keyword fuzzy searchable encryption with forward ciphertext search(FCS-ABMSE)scheme that avoids computationally expensive bilinear pairing operations on the IoT device side.The scheme supportsmulti-keyword fuzzy search without requiring explicit keyword fields,thereby significantly enhancing error tolerance in search operations.It further incorporates forward-secure ciphertext search to mitigate trapdoor abuse,as well as offline encryption and verifiable outsourced decryption to minimize user-side computational costs.Formal security analysis proved that the FCS-ABMSE scheme meets both indistinguishability of ciphertext under the chosen keyword attacks(IND-CKA)and the indistinguishability of ciphertext under the chosen plaintext attacks(IND-CPA).In addition,we constructed an enhanced variant based on type-3 pairings.Results demonstrated that the proposed scheme outperforms existing ABSE approaches in terms of functionalities,computational cost,and communication cost.
基金supported by the National Natural Science Foundation of China,No.62301497the Science and Technology Research Program of Henan,No.252102211024the Key Research and Development Program of Henan,No.231111212000.
文摘Stereo matching is a pivotal task in computer vision,enabling precise depth estimation from stereo image pairs,yet it encounters challenges in regions with reflections,repetitive textures,or fine structures.In this paper,we propose a Semantic-Guided Parallax Attention Stereo Matching Network(SGPASMnet)that can be trained in unsupervised manner,building upon the Parallax Attention Stereo Matching Network(PASMnet).Our approach leverages unsupervised learning to address the scarcity of ground truth disparity in stereo matching datasets,facilitating robust training across diverse scene-specific datasets and enhancing generalization.SGPASMnet incorporates two novel components:a Cross-Scale Feature Interaction(CSFI)block and semantic feature augmentation using a pre-trained semantic segmentation model,SegFormer,seamlessly embedded into the parallax attention mechanism.The CSFI block enables effective fusion ofmulti-scale features,integrating coarse and fine details to enhance disparity estimation accuracy.Semantic features,extracted by SegFormer,enrich the parallax attention mechanism by providing high-level scene context,significantly improving performance in ambiguous regions.Our model unifies these enhancements within a cohesive architecture,comprising semantic feature extraction,an hourglass network,a semantic-guided cascaded parallax attentionmodule,outputmodule,and a disparity refinement network.Evaluations on the KITTI2015 dataset demonstrate that our unsupervised method achieves a lower error rate compared to the original PASMnet,highlighting the effectiveness of our enhancements in handling complex scenes.By harnessing unsupervised learning without ground truth disparity needed,SGPASMnet offers a scalable and robust solution for accurate stereo matching,with superior generalization across varied real-world applications.
基金Supported by the National Program on Key Basic Research Project(2020YFA0713600)the National Natural Science Foundation of China(62272214)。
文摘In the era of the Internet of Things,distributed computing alleviates the problem of insufficient terminal computing power by integrating idle resources of heterogeneous devices.However,the imbalance between task execution delay and node energy consumption,and the scheduling and adaptation challenges brought about by device heterogeneity,urgently need to be addressed.To tackle this problem,this paper constructs a multi-objective real-time task scheduling model that considers task real-time performance,execution delay,system energy consumption,and node interests.The model aims to minimize the delay upper bound and total energy consumption while maximizing system satisfaction.A real-time task scheduling algorithm based on bilateral matching game is proposed.By designing a bidirectional preference mechanism between tasks and computing nodes,combined with a multi-round stable matching strategy,accurate matching between tasks and nodes is achieved.Simulation results show that compared with the baseline scheme,the proposed algorithm significantly reduces the total execution cost,effectively balances the task execution delay and the energy consumption of compute nodes,and takes into account the interests of each network compute node.
文摘Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.
基金funded by the National Natural Science Foundation of China(62273213,62472262,62572287)Natural Science Foundation of Shandong Province(ZR2024MF144)+1 种基金Natural Science Foundation of Shandong Province for Innovation and Development Joint Funds(ZR2022LZH001)Taishan Scholarship Construction Engineering.
文摘Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,we propose HUANNet(High-Resolution Unified Attention Network),a convolutional neural network designed to capture both local features and rich semantic information through a high-resolution representation learning framework,while optimizing computational distribution across parallel branches.HUANNet introduces three core modules:the High-Resolution Attention Module(HRAM),which enhances feature extraction by optimizing multiresolution feature fusion;the Unified Multi-Scale Attention Module(UMAM),which integrates spatial,channel,and convolutional kernel information through an attention mechanism applied across multiple levels of the network;and the Grid-Assisted Point Matching Module(GPMM),which stabilizes and improves point-to-point matching by leveraging grid-based mechanisms.Extensive experiments show that HUANNet achieves competitive results on the ShanghaiTech Part A/B crowd counting datasets and sets new state-of-the-art performance on dense object counting datasets such as CARPK and XRAY-IECCD,demonstrating the effectiveness and versatility of HUANNet.
基金National Natural Science Foundation of China (No. 62001061)。
文摘In this article,a graphic design method for broadband Doherty power amplifier(DPA) is proposed based on the basic principle of impedance matching with the help of Smith chart.The proposed graphic method avoids the complex formula derivation in the traditional amplifier circuit design process,and the design process is more simple and intuitive.Besides,it only takes three steps to build the load modulation network(LMN) of two power amplifiers(PA) of the DPA.Besides,a capacitor is used to replace the parasitic parameters of the transistor,and the LMN designed in the two modes is used for exploration and comparison.Further more,the output impedance of the peaking PA is introduced to make the reflection coefficient trajectory on Smith chart lowfrequency dispersion so as to expand the bandwidth of the DPA at the output power back-off(OBO) level.It would not affect the performance of DPA in the saturation(SAT) state.In this way,a broadband DPA can be implemented easily.To validate the proposed design method,a broadband DPA operating from 1.9to 2.6 GHz is designed and measured based on the proposed method.Under the continuous-wave excitation,the fabricated DPA has a 6 dB OBO efficiency of 48%-56% and a SAT efficiency of 64%-73% from 1.75 to 2.45 GHz,and the peak output power is 48.9-49.8 dBm.
基金supported by the National Natural Science Foundation of China(52304098,52106092,42376215,52474105)Shenzhen Science and Technology Program(JCYJ20220818095605012,JCYJ20220530113011027)+5 种基金Guangdong Basic and Applied Basic Research Foundation(2022A1515110338,2023A1515012316,2023A1515012761,2025A1515010748)Research Team Cultivation Program of Shenzhen University(2023QNT004)Shenzhen Key Laboratory of Natural Gas Hydrates(ZDSYS20200421111201738)the General Research Fund(No.12616222)Early Career Scheme(No.22611624)of Hong Kong Research Grants CouncilMajor Science and Technology Infrastructure Project of Material Genome Big–science Facilities Platform supported by the Municipal Development and Reform Commission of Shenzhen。
文摘Carbon Capture,Utilization,and Storage(CCUS)technology has gained widespread attention in recent years as a critical strategy to combat global climate change,particularly in achieving carbon neutrality goals.The Guangdong-Hong Kong-Macao Greater Bay Area(GBA),as one of China's most economically active regions,serves as a key engine for economic growth while also facing considerable carbon emission challenges.This study analyzes the industrial emission volume and geographical distribution of key emitting enterprises in the GBA,summarizes their technological processes and main carbonemitting equipment,and provides scientific support for precise mitigation policies and low-carbon development.Based on data from 176 key emitting enterprises,the study reveals that Guangzhou and Dongguan host the largest number of such enterprises.Carbon emissions are primarily concentrated in the power sector,dominated by coal-and gas-fired power units,characterized by significant spatial dispersion and uneven distribution.Beyond the power sector,the paper industry has a high number of enterprises but lower emissions.Key facilities such as boilers,cogeneration systems,and production lines are predominantly located near tributaries rivers in Dongguan and Jiangmen.The building materials sector,primarily cement production,ranks as the second-largest emitter,with hightemperature kilns and grinding equipment,particularly rotary kilns and glass furnaces,as the main sources.The petrochemical and chemical sectors have fewer enterprises and lower emissions in the GBA,mainly located in suburban industrial clusters.Carbon emissions in the GBA exhibit distinct industry concentration and geographical distribution disparities.This study provides crucial data and theoretical insights for the development of targeted emission reduction strategies,optimization of source-sink matching,and the advancement of CCUS technologies in the region,particularly from the GBA to the northern South China Sea.
