Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(...Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(CSI)as real-valued inputs,potentially discarding useful information embedded in the original CSI.In addition,existing positioning models generally face the contradiction between computational complexity and positioning accuracy.To address these issues,we combine graph neural network(GNN)with complex-valued neural network(CVNN)to construct a lightweight indoor positioning model named CGNet.CGNet employs complexvalued convolution operation to directly process the original CSI data,fully exploiting the correlation between real and imaginary parts of CSI while extracting local features.Subsequently,the feature values are treated as nodes,and conditional position encoding(CPE)module is applied to add positional information.To reduce the number of connections in the graph structure and lower themodel complexity,feature information is mapped to an efficient graph structure through a dynamic axial graph construction(DAGC)method,with global features extracted usingmaximum relative graph convolution(MRConv).Experimental results show that,on the CTW dataset,CGNet achieves a 10%improvement in positioning accuracy compared to existing methods,while the number of model parameters is only 0.8 M.CGNet achieves excellent positioning accuracy with very few parameters.展开更多
Ferroelastic rare earth tantalates(RETaO_(4))are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO_(4)powders are hugely significant for synthesizing their coatings.The current research...Ferroelastic rare earth tantalates(RETaO_(4))are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO_(4)powders are hugely significant for synthesizing their coatings.The current research used chemical co-precipitation within an automated experimental device to synthesize RETaO_(4)(RE=Nd,Sm,Gd,Ho,Er)powders.The device automatically monitored and controlled the solutions'pH,improving the chemical co-precipitation efficiency.The crystal structure and microstructure of the RETaO_(4)powders can be controlled by changing the annealing temperature,and the materials undergo an m'-m phase transition.The m'-RETaO_(4)powders exhibit nano-size grains,while m-RETaO_(4)powders evince micron-size grains,altered by the annealing temperatures.A simultaneous thermal analysis es-timates the reversive ferroelastic tetragonal-monoclinic phase transition temperatures.Overall,this research focuses on the synthesis,crystal structures,microstructures,and phase transition of the fabricated RETaO_(4)powders.展开更多
To improve Asian food image classification accuracy, a method that combined Convolutional Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was proposed for Asian food image classification. Addi...To improve Asian food image classification accuracy, a method that combined Convolutional Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was proposed for Asian food image classification. Additionally, we proposed to use a mixed data enhancement algorithm (Mixup) to have a smoother discrimination ability. The effects of introducing the attention mechanism (CBAM) and using the mixed data enhancement algorithm (Mixup) were shown respectively through experimental comparison. The combination of these two and the final test set Top-1 accuracy rate reached 87.33%. Moreover, the information emphasized by CBAM was reflected through the visualization of the heat map. The results confirmed the classification method’s effectiveness and provided new ideas that improved Asian food image classification accuracy.展开更多
Two long-term slow slip events(SSEs) in Lower Cook Inlet, Alaska, were identified by Li SS et al.(2016). The earlier SSE lasted at least 9 years with M_(w) ~7.8 and had an average slip rate of ~82 mm/year. The latter ...Two long-term slow slip events(SSEs) in Lower Cook Inlet, Alaska, were identified by Li SS et al.(2016). The earlier SSE lasted at least 9 years with M_(w) ~7.8 and had an average slip rate of ~82 mm/year. The latter SSE, occurring in a similar area, lasted approximately 2 years with M_(w) ~7.2 and an average slip rate of ~91 mm/year. To test whether these SSEs triggered earthquakes near the slow slip area, we calculated the Coulomb stressing rate changes on receiver faults by using two fault geometry definitions: nodal planes of focal mechanism solutions of past earthquakes, and optimally oriented fault planes. Regions in the shallow slab(30–60 km) that experienced a significant increase in the Coulomb stressing rate due to slip by the SSEs showed an increase in seismicity rates during SSE periods. No correlation was found in the volumes that underwent a significant increase in the Coulomb stressing rate during the SSE within the crust and the intermediate slab. We modeled variations in seismicity rates by using a combination of the Coulomb stress transfer model and the framework of rate-and-state friction. Our model indicated that the SSEs increased the Coulomb stress changes on adjacent faults,thereby increasing the seismicity rates even though the ratio of the SSE stressing rate to the background stressing rate was small. Each long-term SSE in Alaska brought the megathrust updip of the SSE areas closer to failure by up to 0.1–0.15 MPa. The volumes of significant Coulomb stress changes caused by the Upper and Lower Cook Inlet SSEs did not overlap.展开更多
The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market A...The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market Analysis.展开更多
Generative artificial intelligence(Generative AI)is reshaping both learning and teaching paradigms in medical education.With the advancement of Large Language Models(LLMs)-based tools such as ChatGPT,Gemini,and other ...Generative artificial intelligence(Generative AI)is reshaping both learning and teaching paradigms in medical education.With the advancement of Large Language Models(LLMs)-based tools such as ChatGPT,Gemini,and other medical-domain-specific models,Generative AI shows strong potential to address persistent challenges in medical education,including rigid curricula,unequal access to educational resources,and the diverse learning needs of medical students.This review summarizes the applications of Generative AI across key domains:(1)personalized learning through real-time analysis of student performance;(2)clinical skills training via immersive simulations and virtual patients;(3)automated generation of teaching materials such as clinical cases and assessments;and(4)support for student research and academic writing.Empirical evidence indicates that Generative AI-enhanced instruction can improve knowledge acquisition,clinical reasoning,and overall educational efficiency.However,challenges remain,including the generation of inaccurate or fabricated content,risks to academic integrity,algorithmic bias,data privacy concerns,and unresolved ethical issues regarding AI’s role in teaching.Without proper oversight,these risks may compromise educational quality and equity.To ensure responsible adoption,this review advocates for the establishment of institutional policies,enhancement of educators’AI literacy,transparent model validation,and a human-centered design framework that positions Generative AI as a collaborative teaching assistant.When responsibly integrated,Generative AI holds the transformative potential to cultivate future medical professionals equipped with clinical competence,responsibility,and innovative thinking.展开更多
BACKGROUND Colonoscopy quality relies heavily on adequate bowel preparation,yet traditional methods often result in suboptimal compliance.Emerging network-based monitoring systems offer promise for improving both prep...BACKGROUND Colonoscopy quality relies heavily on adequate bowel preparation,yet traditional methods often result in suboptimal compliance.Emerging network-based monitoring systems offer promise for improving both preparation quality and patient cooperation,potentially enhancing clinical outcomes.AIM To evaluate the effectiveness of an intestinal network monitoring system in enhancing the quality of bowel preparation for colonoscopy and its impact on patient psychological and physiological responses,compliance,and adverse event rates.METHODS Between July 2019 and July 2020,800 enteroscopy patients who met the inclusion criteria in the outpatient clinic of the gastroenterology department of our hospital were randomly divided into 400 cases each in the experimental group(network monitoring group)and the control group(verbal+written preaching group),and the psychological and physiological stress response situation,colon Boston Bowel Preparation Scale,enteroscopy to blindness,arrival time to blindness,and polyp detection rate of the patients were compared before and after the intervention,compliance and adverse reactions were compared.RESULTS There was no difference in anxiety and depression scores,heart rate and systolic blood pressure between the groups before the intervention(P>0.05),and after the intervention,the patients’anxiety and depression scores were lower and lower in the study group(P<0.05);heart rate and systolic blood pressure were elevated,but lower in the test group(P<0.05).The left hemicolon,right hemicolon,transverse colon and total Boston Bowel Preparation Scale scores were lower in the test group than in the control group(P<0.05),the colonoscopy arrival rate and polyp detection rate were higher than those in the control group,and the time to arrival and time to exit the scope were shorter than those in the control group(P<0.05),and the dietary preparations,the preparations for taking medications and the total adherence scores were higher than those in the control group(P<0.05).The incidence of adverse reactions in the experimental group was 11.00%,which was lower than that in the control group(P<0.05).CONCLUSION The Bowel Network Monitoring System has potential clinical promotion value in improving the quality of colonoscopic bowel preparation,which can effectively alleviate patient anxiety and depression,improve the quality of colonoscopic bowel preparation and patient compliance,and has a high degree of safety.展开更多
Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfa...Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.展开更多
The electro-hydrostatic actuator(EHA)pump is required to operate in a wide range of pressures and speeds to meet the variable output power demands.However,the reliable operation range of EHA pumps is restricted,and th...The electro-hydrostatic actuator(EHA)pump is required to operate in a wide range of pressures and speeds to meet the variable output power demands.However,the reliable operation range of EHA pumps is restricted,and the cylinder block tilting is considered a serious factor.This paper presents an analytical approach for evaluating the critical operation range of EHA pumps based on a criterion for cylinder tilting states.It explicitly reveals the fundamental principle of the cylinder block tilting limiting the operation range.The criterion is verified with the measured tilting angle and leakage flow.Results show that the calculated critical conditions accurately identify the inflection point of performance changes.Beyond the critical operation range,the severe cylinder block tilting leads to a sharp increase in leakage and may even result in a sudden failure.Furthermore,the impacts of the center spring force,the piston-slipper assembly mass,and the position of the spline reaction on the critical operation range are investigated.展开更多
Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity effica...Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity efficacies from 11 teas.In vitro experiments revealed that lipid accumulation in L02 cells and lipid synthesis in 3T3-L1 cells were significantly better inhibited by Tea-B than Tea-A.Further in vivo experiments using model mice revealed that the differences in chemical components generated two pathways in the anti-obesity efficacy and mechanism of Pu-erh teas.Tea-A changes the histomorphology of brown adipose tissue(BAT)and increases the abundance of Coriobacteriaceae_UCG_002 and cyclic AMP in guts through high chemical contents of cyclopentasiloxane,decamethyl,tridecane and 1,2,3-trimethoxybenzene,eventually increasing BAT activation and fat browning gene expression;the high content of hexadecane and 1,2-dimethoxybenzene in Tea-B reduces white adipose tissue(WAT)accumulation and the process of fatty liver,increases the abundance of Odoribacter and sphinganine 1-phosphate,inhibits the expression of lipid synthesis and transport genes.These mechanistic findings on the association of the representative bioactive components in Pu-erh teas with the anti-obesity phenotypes,gut microbes,gut metabolite structure and anti-obesity pathways,which were obtained for the first time,provide foundations for developing functional Pu-erh tea.展开更多
Hydraulic legged robots have potential for high-dynamic motion due to their large power-to-weight ratios. However, it is challenging to ensure both stability and continuity in the motion of such robots. In this study,...Hydraulic legged robots have potential for high-dynamic motion due to their large power-to-weight ratios. However, it is challenging to ensure both stability and continuity in the motion of such robots. In this study, we propose a jumping motion control framework based on deep reinforcement learning that enables hydraulic limb leg units to perform stable and continuous jumping motions. First, to accurately represent the performance of a physical prototype, a quasi-realistic model incorporating physical feasibility constraints is constructed. This model is informed by analysis of the relevant fluid dynamics, and incorporates a trajectory generator and a motion tracking controller. To achieve stable and continuous jumping performance, a deep reinforcement learning algorithm is developed, which jointly optimizes the trajectory generator and the motion tracking controller. Through validation on the physical prototype, we demonstrate that the proposed method reduces the maximum deviation and the average deviation by over 47% and 60%, respectively, and improves landing compliance by up to 7.7% compared to a baseline optimization algorithm, the non-dominated sorting genetic algorithm (NSGA-II). The proposed control framework may serve as a reference for high-dynamic motion control of legged robots and multi-objective optimization across several decision variables.展开更多
The catalyst's structural dynamics under reaction conditions critically determine their performance.We proved this indication by studying Ni nanoparticles supported on Mo_(2)CT_(x) MXene,where the average size dur...The catalyst's structural dynamics under reaction conditions critically determine their performance.We proved this indication by studying Ni nanoparticles supported on Mo_(2)CT_(x) MXene,where the average size during CO_(2) hydrogenation changed from 12.9 to 3.1 nm.A parallel increase of CO selectivity from 21.1%to 92.6%at 400℃ was observed,while the CO_(2) conversion rate remained at about 84.0 mmol·g_(cat)^(-1)·h^(-1).This transformation involved partial removal of Mo_(2)CT_(x) terminal groups,allowing direct interaction between Ni and Mo atoms instead of indirect coupling through-O terminations.The shift from a Ni-O-Mo to a Ni-Mo interaction enhanced electron transfer from Ni to Mo_(2)CT_(x),strengthening the metal-support interaction and driving Ni nanoparticle dispersion.In-situ mechanistic analysis and kinetic isotope studies revealed that Ni dispersion suppresses the formate and carboxyl pathway,promotes direct CO_(2) dissociation,and inhibits CO hydrogenation,shifting the primary product from CH_(4) to CO.These findings provide a strategy for designing highly selective and stable MXene-based catalysts through engineered metal-support interactions.展开更多
TiC steel-bound cemented carbide body was prepared by direct writing printing.The effects of powder content(89.28,89.49,89.69,89.88,and 90.07 wt%)and dispersant content(0.017,0.034,0.051,and 0.068 wt%)on the slurry an...TiC steel-bound cemented carbide body was prepared by direct writing printing.The effects of powder content(89.28,89.49,89.69,89.88,and 90.07 wt%)and dispersant content(0.017,0.034,0.051,and 0.068 wt%)on the slurry and printing body were studied.The experimental results show that with the increase of powder content,the viscosity of the slurry gradually increases,the settlement rate gradually decreases,and the size and linewidth of the blank body gradually decreases.When the powder content is 89.69 wt%,the sedimentation stability and extrusion stability of the slurry are the best,and the density of the blank body is the highest,which is 3.8275 g/cm^(3),which is suitable for direct writing printing.The addition of dispersant reduced the viscosity of the slurry;With the increase of dispersant content,the surface line width and size of the printed body gradually increased.When the dispersant content is 0.034 wt%,the extrusion stability of the slurry is the best,and the density of the body is the highest,which is 3.8901 g/cm^(3).展开更多
To tackle with the security lack in the password-authenticated key exchange protocol, this paper proposes a two-party password-authenticated key exchange protocol based on a verifier. In the proposed protocol, a user ...To tackle with the security lack in the password-authenticated key exchange protocol, this paper proposes a two-party password-authenticated key exchange protocol based on a verifier. In the proposed protocol, a user stores his password in plaintext, and the server stores a verifier for the user’s password, using DL difficult problem and DH difficult problem, through the session between user and server to establish a session key. The security discussion result shows that the proposed protocol provides forward secrecy, and can effectively defend against server compromising fake attacks, dictionary attacks and middleman attacks. Protocol efficiency comparisons reveal our protocol is more reasonable.展开更多
Objective: This study aims to evaluate the safety and efficacy of PETD combined with nerve root water imaging of MRI for the treatment of lumbar disc herniation. Methods: A retrospective review was performed on 62 pat...Objective: This study aims to evaluate the safety and efficacy of PETD combined with nerve root water imaging of MRI for the treatment of lumbar disc herniation. Methods: A retrospective review was performed on 62 patients with lumbar disc herniation from March 2019 to March 2021. The study included an experimental group of 30 patients and a control group of 32 patients. The experimental group underwent PETD combined with nerve root water imaging of MRI, while the control group received traditional PETD treatment. The visual analogue scoring method (VAS score), and JOA lumbar spine function score before and after surgery were compared between the two groups, and efficacy was assessed and compared using the MacNab score. Results: The mean operation time was significantly reduced in the experimental group (56.43 ±10.40 minutes) compared to the control group (65.69 ±14.12 minutes). The VAS score was compared between the two groups with preoperative (p = 0.624), one month after surgery (p = 0.325), three months after surgery (p = 0.676), one year after surgery (p = 0.341);The JOA score was compared between the two groups with preoperative (p = 0.961), one month after the surgery (p = 0.266), three months after surgery (p = 0.185), one year after surgery (p = 0.870), they were no significant statistical difference;The efficacy evaluation of the last follow-up Macnab showed that all the 30 patients in the experimental group were excellent, 31 of 32 patients in the control group were excellent, 1 case was good;There was no statistical difference in the comparison between the two groups (p > 0.05). Conclusion: The study concludes that the combined approach of PETD with nerve root water imaging of MRI is a safe, effective, and more efficient alternative to conventional PETD for treating lumbar disc herniation.展开更多
Corn rod-like WO<sub>3</sub> nanomaterials were successfully synthesized by a simple hydrothermal method. The morphology, structure and optical absorption properties of the prepared samples were characteri...Corn rod-like WO<sub>3</sub> nanomaterials were successfully synthesized by a simple hydrothermal method. The morphology, structure and optical absorption properties of the prepared samples were characterized by SEM, XRD, FTIR and UV-Vis-DRS. The WO<sub>3</sub> materials were corn rod-like morphology with about 800 nm for length and 150 nm for diameter, especially there were plenty of corn particles (about 20 nm) on the surface of corn rods. The X-ray diffraction peaks of the products corresponded with WO<sub>3</sub> standard card, and the characteristic peak of W-O bond was found in the infrared spectrum. The absorption band edge of the products was about 480 nm, indicating their potential visible-light-induced photocatalytic activity. In situ FTIR technology research showed that the prepared WO<sub>3</sub> nanomaterials had visible photocatalytic activity to gas-phase toluene. After a photocatalytic reaction for 8 hours toluene was effectively degraded, and carboxylic acid and aldehyde could be regarded as the intermediate products, and CO<sub>2</sub> was produced as the final product during the reaction process.展开更多
文摘Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(CSI)as real-valued inputs,potentially discarding useful information embedded in the original CSI.In addition,existing positioning models generally face the contradiction between computational complexity and positioning accuracy.To address these issues,we combine graph neural network(GNN)with complex-valued neural network(CVNN)to construct a lightweight indoor positioning model named CGNet.CGNet employs complexvalued convolution operation to directly process the original CSI data,fully exploiting the correlation between real and imaginary parts of CSI while extracting local features.Subsequently,the feature values are treated as nodes,and conditional position encoding(CPE)module is applied to add positional information.To reduce the number of connections in the graph structure and lower themodel complexity,feature information is mapped to an efficient graph structure through a dynamic axial graph construction(DAGC)method,with global features extracted usingmaximum relative graph convolution(MRConv).Experimental results show that,on the CTW dataset,CGNet achieves a 10%improvement in positioning accuracy compared to existing methods,while the number of model parameters is only 0.8 M.CGNet achieves excellent positioning accuracy with very few parameters.
基金the Rare and Precious Metals Material Genetic Engineering Project of Yunnan Province(202102AB080019-1)National Key Research and Development Program of China(2022YFB3708600)the National Natural Science Foundation of China(91960103).
文摘Ferroelastic rare earth tantalates(RETaO_(4))are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO_(4)powders are hugely significant for synthesizing their coatings.The current research used chemical co-precipitation within an automated experimental device to synthesize RETaO_(4)(RE=Nd,Sm,Gd,Ho,Er)powders.The device automatically monitored and controlled the solutions'pH,improving the chemical co-precipitation efficiency.The crystal structure and microstructure of the RETaO_(4)powders can be controlled by changing the annealing temperature,and the materials undergo an m'-m phase transition.The m'-RETaO_(4)powders exhibit nano-size grains,while m-RETaO_(4)powders evince micron-size grains,altered by the annealing temperatures.A simultaneous thermal analysis es-timates the reversive ferroelastic tetragonal-monoclinic phase transition temperatures.Overall,this research focuses on the synthesis,crystal structures,microstructures,and phase transition of the fabricated RETaO_(4)powders.
文摘To improve Asian food image classification accuracy, a method that combined Convolutional Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was proposed for Asian food image classification. Additionally, we proposed to use a mixed data enhancement algorithm (Mixup) to have a smoother discrimination ability. The effects of introducing the attention mechanism (CBAM) and using the mixed data enhancement algorithm (Mixup) were shown respectively through experimental comparison. The combination of these two and the final test set Top-1 accuracy rate reached 87.33%. Moreover, the information emphasized by CBAM was reflected through the visualization of the heat map. The results confirmed the classification method’s effectiveness and provided new ideas that improved Asian food image classification accuracy.
基金supported by the National Natural Science Foundation of China (Grant No. 42104001)。
文摘Two long-term slow slip events(SSEs) in Lower Cook Inlet, Alaska, were identified by Li SS et al.(2016). The earlier SSE lasted at least 9 years with M_(w) ~7.8 and had an average slip rate of ~82 mm/year. The latter SSE, occurring in a similar area, lasted approximately 2 years with M_(w) ~7.2 and an average slip rate of ~91 mm/year. To test whether these SSEs triggered earthquakes near the slow slip area, we calculated the Coulomb stressing rate changes on receiver faults by using two fault geometry definitions: nodal planes of focal mechanism solutions of past earthquakes, and optimally oriented fault planes. Regions in the shallow slab(30–60 km) that experienced a significant increase in the Coulomb stressing rate due to slip by the SSEs showed an increase in seismicity rates during SSE periods. No correlation was found in the volumes that underwent a significant increase in the Coulomb stressing rate during the SSE within the crust and the intermediate slab. We modeled variations in seismicity rates by using a combination of the Coulomb stress transfer model and the framework of rate-and-state friction. Our model indicated that the SSEs increased the Coulomb stress changes on adjacent faults,thereby increasing the seismicity rates even though the ratio of the SSE stressing rate to the background stressing rate was small. Each long-term SSE in Alaska brought the megathrust updip of the SSE areas closer to failure by up to 0.1–0.15 MPa. The volumes of significant Coulomb stress changes caused by the Upper and Lower Cook Inlet SSEs did not overlap.
文摘The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market Analysis.
文摘Generative artificial intelligence(Generative AI)is reshaping both learning and teaching paradigms in medical education.With the advancement of Large Language Models(LLMs)-based tools such as ChatGPT,Gemini,and other medical-domain-specific models,Generative AI shows strong potential to address persistent challenges in medical education,including rigid curricula,unequal access to educational resources,and the diverse learning needs of medical students.This review summarizes the applications of Generative AI across key domains:(1)personalized learning through real-time analysis of student performance;(2)clinical skills training via immersive simulations and virtual patients;(3)automated generation of teaching materials such as clinical cases and assessments;and(4)support for student research and academic writing.Empirical evidence indicates that Generative AI-enhanced instruction can improve knowledge acquisition,clinical reasoning,and overall educational efficiency.However,challenges remain,including the generation of inaccurate or fabricated content,risks to academic integrity,algorithmic bias,data privacy concerns,and unresolved ethical issues regarding AI’s role in teaching.Without proper oversight,these risks may compromise educational quality and equity.To ensure responsible adoption,this review advocates for the establishment of institutional policies,enhancement of educators’AI literacy,transparent model validation,and a human-centered design framework that positions Generative AI as a collaborative teaching assistant.When responsibly integrated,Generative AI holds the transformative potential to cultivate future medical professionals equipped with clinical competence,responsibility,and innovative thinking.
基金Supported by the Changshu Municipal Health Commission Science and Technology Program,No.csws201902。
文摘BACKGROUND Colonoscopy quality relies heavily on adequate bowel preparation,yet traditional methods often result in suboptimal compliance.Emerging network-based monitoring systems offer promise for improving both preparation quality and patient cooperation,potentially enhancing clinical outcomes.AIM To evaluate the effectiveness of an intestinal network monitoring system in enhancing the quality of bowel preparation for colonoscopy and its impact on patient psychological and physiological responses,compliance,and adverse event rates.METHODS Between July 2019 and July 2020,800 enteroscopy patients who met the inclusion criteria in the outpatient clinic of the gastroenterology department of our hospital were randomly divided into 400 cases each in the experimental group(network monitoring group)and the control group(verbal+written preaching group),and the psychological and physiological stress response situation,colon Boston Bowel Preparation Scale,enteroscopy to blindness,arrival time to blindness,and polyp detection rate of the patients were compared before and after the intervention,compliance and adverse reactions were compared.RESULTS There was no difference in anxiety and depression scores,heart rate and systolic blood pressure between the groups before the intervention(P>0.05),and after the intervention,the patients’anxiety and depression scores were lower and lower in the study group(P<0.05);heart rate and systolic blood pressure were elevated,but lower in the test group(P<0.05).The left hemicolon,right hemicolon,transverse colon and total Boston Bowel Preparation Scale scores were lower in the test group than in the control group(P<0.05),the colonoscopy arrival rate and polyp detection rate were higher than those in the control group,and the time to arrival and time to exit the scope were shorter than those in the control group(P<0.05),and the dietary preparations,the preparations for taking medications and the total adherence scores were higher than those in the control group(P<0.05).The incidence of adverse reactions in the experimental group was 11.00%,which was lower than that in the control group(P<0.05).CONCLUSION The Bowel Network Monitoring System has potential clinical promotion value in improving the quality of colonoscopic bowel preparation,which can effectively alleviate patient anxiety and depression,improve the quality of colonoscopic bowel preparation and patient compliance,and has a high degree of safety.
基金supported by the Basic Medical Research Foundation of Naval Medical University(2022SK029 and 2023QN035).
文摘Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.
基金supported in part by the National Natural Science Foundation of China(No.51890882)the National Natural Science Foundation of China(No.52305075)+1 种基金the China Postdoctoral Science Foundation(No.2023M733065)the Aeronautical Science Foundation of China(No.20220028076003)。
文摘The electro-hydrostatic actuator(EHA)pump is required to operate in a wide range of pressures and speeds to meet the variable output power demands.However,the reliable operation range of EHA pumps is restricted,and the cylinder block tilting is considered a serious factor.This paper presents an analytical approach for evaluating the critical operation range of EHA pumps based on a criterion for cylinder tilting states.It explicitly reveals the fundamental principle of the cylinder block tilting limiting the operation range.The criterion is verified with the measured tilting angle and leakage flow.Results show that the calculated critical conditions accurately identify the inflection point of performance changes.Beyond the critical operation range,the severe cylinder block tilting leads to a sharp increase in leakage and may even result in a sudden failure.Furthermore,the impacts of the center spring force,the piston-slipper assembly mass,and the position of the spline reaction on the critical operation range are investigated.
基金The financial support received from the Shenzhen Science and Technology Innovation Commission(KCXFZ20201221173207022,WDZC20200821141349001)Shenzhen Bay Laboratory Startup Fund(21310041,S234602003)。
文摘Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity efficacies from 11 teas.In vitro experiments revealed that lipid accumulation in L02 cells and lipid synthesis in 3T3-L1 cells were significantly better inhibited by Tea-B than Tea-A.Further in vivo experiments using model mice revealed that the differences in chemical components generated two pathways in the anti-obesity efficacy and mechanism of Pu-erh teas.Tea-A changes the histomorphology of brown adipose tissue(BAT)and increases the abundance of Coriobacteriaceae_UCG_002 and cyclic AMP in guts through high chemical contents of cyclopentasiloxane,decamethyl,tridecane and 1,2,3-trimethoxybenzene,eventually increasing BAT activation and fat browning gene expression;the high content of hexadecane and 1,2-dimethoxybenzene in Tea-B reduces white adipose tissue(WAT)accumulation and the process of fatty liver,increases the abundance of Odoribacter and sphinganine 1-phosphate,inhibits the expression of lipid synthesis and transport genes.These mechanistic findings on the association of the representative bioactive components in Pu-erh teas with the anti-obesity phenotypes,gut microbes,gut metabolite structure and anti-obesity pathways,which were obtained for the first time,provide foundations for developing functional Pu-erh tea.
基金supported by the National Natural Science Foundation of China(No.U24B2049)the Scientific Research Fund of Zhejiang Provincial Education Department(No.Y202457047),China.
文摘Hydraulic legged robots have potential for high-dynamic motion due to their large power-to-weight ratios. However, it is challenging to ensure both stability and continuity in the motion of such robots. In this study, we propose a jumping motion control framework based on deep reinforcement learning that enables hydraulic limb leg units to perform stable and continuous jumping motions. First, to accurately represent the performance of a physical prototype, a quasi-realistic model incorporating physical feasibility constraints is constructed. This model is informed by analysis of the relevant fluid dynamics, and incorporates a trajectory generator and a motion tracking controller. To achieve stable and continuous jumping performance, a deep reinforcement learning algorithm is developed, which jointly optimizes the trajectory generator and the motion tracking controller. Through validation on the physical prototype, we demonstrate that the proposed method reduces the maximum deviation and the average deviation by over 47% and 60%, respectively, and improves landing compliance by up to 7.7% compared to a baseline optimization algorithm, the non-dominated sorting genetic algorithm (NSGA-II). The proposed control framework may serve as a reference for high-dynamic motion control of legged robots and multi-objective optimization across several decision variables.
文摘The catalyst's structural dynamics under reaction conditions critically determine their performance.We proved this indication by studying Ni nanoparticles supported on Mo_(2)CT_(x) MXene,where the average size during CO_(2) hydrogenation changed from 12.9 to 3.1 nm.A parallel increase of CO selectivity from 21.1%to 92.6%at 400℃ was observed,while the CO_(2) conversion rate remained at about 84.0 mmol·g_(cat)^(-1)·h^(-1).This transformation involved partial removal of Mo_(2)CT_(x) terminal groups,allowing direct interaction between Ni and Mo atoms instead of indirect coupling through-O terminations.The shift from a Ni-O-Mo to a Ni-Mo interaction enhanced electron transfer from Ni to Mo_(2)CT_(x),strengthening the metal-support interaction and driving Ni nanoparticle dispersion.In-situ mechanistic analysis and kinetic isotope studies revealed that Ni dispersion suppresses the formate and carboxyl pathway,promotes direct CO_(2) dissociation,and inhibits CO hydrogenation,shifting the primary product from CH_(4) to CO.These findings provide a strategy for designing highly selective and stable MXene-based catalysts through engineered metal-support interactions.
基金“TiC Steel Composite 3D Gel Printing Molding and its Densification Mechanism”Hebei Province Natural Science Foundation funded project-Youth Science Fund Project(E2021210094)“TiC Steel-bonded Cemented Carbide 3D Gel Printing Forming and Densification Mechanism”Sichuan Powder Metallurgy Engineering-Technology Research Center open project(SC-FMYJ2020-07)“Design Preparation of MAC Composite Powder and Research on the Mechanism of Strengthening Steel-bonded Cemented Carbide”Hebei Provincial Department of Education Natural Science-Youth Fund project(QN2024021)。
文摘TiC steel-bound cemented carbide body was prepared by direct writing printing.The effects of powder content(89.28,89.49,89.69,89.88,and 90.07 wt%)and dispersant content(0.017,0.034,0.051,and 0.068 wt%)on the slurry and printing body were studied.The experimental results show that with the increase of powder content,the viscosity of the slurry gradually increases,the settlement rate gradually decreases,and the size and linewidth of the blank body gradually decreases.When the powder content is 89.69 wt%,the sedimentation stability and extrusion stability of the slurry are the best,and the density of the blank body is the highest,which is 3.8275 g/cm^(3),which is suitable for direct writing printing.The addition of dispersant reduced the viscosity of the slurry;With the increase of dispersant content,the surface line width and size of the printed body gradually increased.When the dispersant content is 0.034 wt%,the extrusion stability of the slurry is the best,and the density of the body is the highest,which is 3.8901 g/cm^(3).
文摘To tackle with the security lack in the password-authenticated key exchange protocol, this paper proposes a two-party password-authenticated key exchange protocol based on a verifier. In the proposed protocol, a user stores his password in plaintext, and the server stores a verifier for the user’s password, using DL difficult problem and DH difficult problem, through the session between user and server to establish a session key. The security discussion result shows that the proposed protocol provides forward secrecy, and can effectively defend against server compromising fake attacks, dictionary attacks and middleman attacks. Protocol efficiency comparisons reveal our protocol is more reasonable.
文摘Objective: This study aims to evaluate the safety and efficacy of PETD combined with nerve root water imaging of MRI for the treatment of lumbar disc herniation. Methods: A retrospective review was performed on 62 patients with lumbar disc herniation from March 2019 to March 2021. The study included an experimental group of 30 patients and a control group of 32 patients. The experimental group underwent PETD combined with nerve root water imaging of MRI, while the control group received traditional PETD treatment. The visual analogue scoring method (VAS score), and JOA lumbar spine function score before and after surgery were compared between the two groups, and efficacy was assessed and compared using the MacNab score. Results: The mean operation time was significantly reduced in the experimental group (56.43 ±10.40 minutes) compared to the control group (65.69 ±14.12 minutes). The VAS score was compared between the two groups with preoperative (p = 0.624), one month after surgery (p = 0.325), three months after surgery (p = 0.676), one year after surgery (p = 0.341);The JOA score was compared between the two groups with preoperative (p = 0.961), one month after the surgery (p = 0.266), three months after surgery (p = 0.185), one year after surgery (p = 0.870), they were no significant statistical difference;The efficacy evaluation of the last follow-up Macnab showed that all the 30 patients in the experimental group were excellent, 31 of 32 patients in the control group were excellent, 1 case was good;There was no statistical difference in the comparison between the two groups (p > 0.05). Conclusion: The study concludes that the combined approach of PETD with nerve root water imaging of MRI is a safe, effective, and more efficient alternative to conventional PETD for treating lumbar disc herniation.
文摘Corn rod-like WO<sub>3</sub> nanomaterials were successfully synthesized by a simple hydrothermal method. The morphology, structure and optical absorption properties of the prepared samples were characterized by SEM, XRD, FTIR and UV-Vis-DRS. The WO<sub>3</sub> materials were corn rod-like morphology with about 800 nm for length and 150 nm for diameter, especially there were plenty of corn particles (about 20 nm) on the surface of corn rods. The X-ray diffraction peaks of the products corresponded with WO<sub>3</sub> standard card, and the characteristic peak of W-O bond was found in the infrared spectrum. The absorption band edge of the products was about 480 nm, indicating their potential visible-light-induced photocatalytic activity. In situ FTIR technology research showed that the prepared WO<sub>3</sub> nanomaterials had visible photocatalytic activity to gas-phase toluene. After a photocatalytic reaction for 8 hours toluene was effectively degraded, and carboxylic acid and aldehyde could be regarded as the intermediate products, and CO<sub>2</sub> was produced as the final product during the reaction process.
