Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO Press Prof.Peter Wiedemann gave some guidance to IJO,recognized that it is a high-quality academic journal,and expected ...Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO Press Prof.Peter Wiedemann gave some guidance to IJO,recognized that it is a high-quality academic journal,and expected that it will make a greater contribution to the world ophthalmology.展开更多
Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO PressProf.Xiu-Wen Hu,Chief Editor of IJO,and Prof.Yan-Nian Hui,Editor-in-Chief of IJO,introduced the current situation o...Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO PressProf.Xiu-Wen Hu,Chief Editor of IJO,and Prof.Yan-Nian Hui,Editor-in-Chief of IJO,introduced the current situation of IJ O to Prof.Peter Wiedemann,President of ICOProf.Xiu-Wen Hu(left),Chief Editor of IJO,and Prof.Yan-Nian Hui(right),Editor-in-Chief of IJO.展开更多
Accurate state of health(SOH)estimation is essential for the safe and reliable operation of lithium-ion batteries.However,existing methods face significant challenges,primarily because they rely on complete charge–di...Accurate state of health(SOH)estimation is essential for the safe and reliable operation of lithium-ion batteries.However,existing methods face significant challenges,primarily because they rely on complete charge–discharge cycles and fixed-form physical constraints,which limit adaptability to different chemistries and real-world conditions.To address these issues,this study proposes an approach that extracts features from segmented state of charge(SOC)intervals and integrates them into an enhanced physics-informed neural network(PINN).Specifically,voltage data within the 25%–75%SOC range during charging are used to derive statistical,time–frequency,and mechanism-based features that capture degradation trends.A hybrid PINN-Lasso-Transformer-BiLSTM architecture is developed,where Lasso regression enables sparse feature selection,and a nonlinear empirical degradation model is embedded as a learnable physical term within a dynamically scaled composite loss.This design adaptively balances data-driven accuracy with physical consistency,thereby enhancing estimation precision,robustness,and generalization.The results show that the proposed method outperforms conventional neural networks across four battery chemistries,achieving root mean square error and mean absolute error below 1%.Notably,features from partial charging segments exhibit higher robustness than those from full cycles.Furthermore,the model maintains strong performance under high temperatures and demonstrates excellent generalization capacity in transfer learning across chemistries,temperatures,and C-rates.This work establishes a scalable and interpretable solution for accurate SOH estimation under diverse practical operating conditions.展开更多
Clouds play an important role in global atmospheric energy and water vapor budgets, and the low cloud simulations suffer from large biases in many atmospheric general circulation models. In this study, cloud microphys...Clouds play an important role in global atmospheric energy and water vapor budgets, and the low cloud simulations suffer from large biases in many atmospheric general circulation models. In this study, cloud microphysical processes such as raindrop evaporation and cloud water accretion in a double-moment six-class cloud microphysics scheme were revised to enhance the simulation of low clouds using the Global-Regional Integrated Forecast System(GRIST)model. The validation of the revised scheme using a single-column version of the GRIST demonstrated a reasonable reduction in liquid water biases. The revised parameterization simulated medium-and low-level cloud fractions that were in better agreement with the observations than the original scheme. Long-term global simulations indicate the mitigation of the originally overestimated low-level cloud fraction and cloud-water mixing ratio in mid-to high-latitude regions,primarily owing to enhanced accretion processes and weakened raindrop evaporation. The reduced low clouds with the revised scheme showed better consistency with satellite observations, particularly at mid-and high-latitudes. Further improvements can be observed in the simulated cloud shortwave radiative forcing and vertical distribution of total cloud cover. Annual precipitation in mid-latitude regions has also improved, particularly over the oceans, with significantly increased large-scale and decreased convective precipitation.展开更多
Heterogeneous catalysis is a complex,multiscale phenomenon in which reactions occur at dynamically evolving surfaces.A longstanding goal is to probe these processes to distill design rules for novel catalytic material...Heterogeneous catalysis is a complex,multiscale phenomenon in which reactions occur at dynamically evolving surfaces.A longstanding goal is to probe these processes to distill design rules for novel catalytic materials,a capability that is essential to the transition toward a sustainable future[1–3].展开更多
Making full use of the operator ordering method and the integration within ordered products,we obtain the analytical evolution law of a general quadratic state in the amplitude decay channel,and find that it is determ...Making full use of the operator ordering method and the integration within ordered products,we obtain the analytical evolution law of a general quadratic state in the amplitude decay channel,and find that it is determined not only by the decay rate of the amplitude decay channel but also by the coefficients of the initial quadratic state.Further,the quantum statistical properties of the initial quadratic state for amplitude decay are investigated via its average photon number and photon-counting distribution,and its Wigner distribution function evolution is discussed in detail.展开更多
Bruce E,Spivey,M.D.,was President of the International Council of Ophthalmology (ICO)from 2006 to 2014 and served as ICO Secretary-General from1994 to 2006;and is general scientific advisor of International Journal of...Bruce E,Spivey,M.D.,was President of the International Council of Ophthalmology (ICO)from 2006 to 2014 and served as ICO Secretary-General from1994 to 2006;and is general scientific advisor of International Journal of Ophthalmology (IJO)from 2003 to present.Professor Spivey trained as an ophthalmologist and medical educator.He has worked extensively to enhance ophthalmic education and eye care internationally.展开更多
This paper proposes a nonmonotonic backtracking trust region algorithm via bilevel linear programming for solving the general multicommodity minimal cost flow problems.Using the duality theory of the linear programmin...This paper proposes a nonmonotonic backtracking trust region algorithm via bilevel linear programming for solving the general multicommodity minimal cost flow problems.Using the duality theory of the linear programming and convex theory,the generalized directional derivative of the general multicommodity minimal cost flow problems is derived.The global convergence and superlinear convergence rate of the proposed algorithm are established under some mild conditions.展开更多
BACKGROUND Currently,very few studies have examined the analgesic effectiveness and safety of dexmedetomidine-assisted intravenous-inhalation combined general anesthesia in laparoscopic minimally invasive surgery for ...BACKGROUND Currently,very few studies have examined the analgesic effectiveness and safety of dexmedetomidine-assisted intravenous-inhalation combined general anesthesia in laparoscopic minimally invasive surgery for inguinal hernia.AIM To investigate the analgesic effect and safety of dexmedetomidine-assisted intravenous-inhalation combined general anesthesia in laparoscopic minimally invasive surgery for inguinal hernia.METHODS In this retrospective study,94 patients scheduled for laparoscopic minimally invasive surgery for inguinal hernia,admitted to Yiwu Central Hospital between May 2022 and May 2023,were divided into a control group(inhalation combined general anesthesia)and a treatment group(dexmedetomidine-assisted intrave-nous-inhalation combined general anesthesia).Perioperative indicators,analgesic effect,preoperative and postoperative 24-hours blood pressure(BP)and heart rate(HR),stress indicators,immune function levels,and adverse reactions were com-pared between the two groups.RESULTS Baseline data,including age,hernia location,place of residence,weight,monthly income,education level,and underlying diseases,were not significantly different between the two groups,indicating comparability(P>0.05).No significant difference was found in operation time and anesthesia time between the two groups(P>0.05).However,the treatment group exhibited a shorter postoperative urinary catheter removal time and hospital stay than the control group(P<0.05).Preoperatively,no significant differences were found in the visual analog scale(VAS)scores between the two groups(P>0.05).However,at 12,18,and 24 hours postoper-atively,the treatment group had significantly lower VAS scores than the control group(P<0.05).Although no significant differences in preoperative hemodynamic indicators were found between the two groups(P>0.05),both groups experienced some extent of changes in postoperative HR,diastolic BP(DBP),and systolic BP(SBP).Nevertheless,the treatment group showed smaller changes in HR,DBP,and SBP than the control group(P<0.05).Preoperative immune function indicators showed no significant differences between the two groups(P>0.05).However,postoperatively,the treatment group demonstrated higher levels of CD3+,CD4+,and CD4+/CD8+and lower levels of CD8+than the control group(P<0.05).The rates of adverse reactions were 6.38%and 23.40%in the treatment and control groups,respectively,revealing a significant difference(χ2=5.371,P=0.020).CONCLUSION Dexmedetomidine-assisted intravenous-inhalation combined general anesthesia can promote early recovery of patients undergoing laparoscopic minimally invasive surgery for inguinal hernia.It ensures stable blood flow,improves postoperative analgesic effects,reduces postoperative pain intensity,alleviates stress response,improves immune function,facilitates anesthesia recovery,and enhances safety.展开更多
Background: The seroepidemiology of Helicobacter pylori infection in general population in Durango City, Mexico has not been previously studied. Aims: To determine the seroprevalence of anti-H. pylori antibodies in th...Background: The seroepidemiology of Helicobacter pylori infection in general population in Durango City, Mexico has not been previously studied. Aims: To determine the seroprevalence of anti-H. pylori antibodies in the general population in Durango City, Mexico;and to determine socio-demographic, clinical, and behavioral characteristics of the general population associated with H. pylori seropositivity. Methods: The prevalence of anti-H. pylori IgG antibodies was examined in 345 individuals in Durango City, Mexico, using enzyme-linked immunoassays. Socio-demographic, clinical, and behavioral characteristics of the general population associated with H. pylori seroprevalence were also investigated. Results: In total, 231 (67%) of the 345 participants (mean age, 45.3. ± 17.5 years) had H. pylori IgG antibodies, 146 (63.2%) of whom had H. pylori IgG antibody levels higher than 100 U/mL. Both H. pylori seroprevalence and antibody levels increased significantly with age, and were similar in males and females. An increased H. pylori seroprevalence was found in subjects with low education and employed. In contrast, a low seroprevalence was found in subjects living in suburban areas. One of four subjects with gastritis symptoms had anti-H. pylori antibodies. The seroprevalence of H. pylori was significantly higher among women with abortion history than among those without such history. Multivariate analysis of behavioral variables showed that H. pylori seropositivity was negatively associated with raising farm animals (OR = 0.48;95% CI: 0.25-0.91;P = 0.02). Conclusions: In the general population studied, H. pylori seroreactivity increased significantly with age, not only in frequency but also in intensity. Residence, education, and occupation of the study population influenced the seropositivity rate of H. pylori.展开更多
The former Vice-President of the International Council of Ophthalmology(ICO).Professor of Ophthalmology Emeritus Johns Hopkins University School of Medicine,Wilmer Eye Institute,USA.The first Director of the Departmen...The former Vice-President of the International Council of Ophthalmology(ICO).Professor of Ophthalmology Emeritus Johns Hopkins University School of Medicine,Wilmer Eye Institute,USA.The first Director of the Department of Ophthalmology and Visual Sciences,The Chinese University of Hong Kong China.The first Director of the Peking University Eye Center,China.展开更多
Face liveness detection is essential for securing biometric authentication systems against spoofing attacks,including printed photos,replay videos,and 3D masks.This study systematically evaluates pre-trained CNN model...Face liveness detection is essential for securing biometric authentication systems against spoofing attacks,including printed photos,replay videos,and 3D masks.This study systematically evaluates pre-trained CNN models—DenseNet201,VGG16,InceptionV3,ResNet50,VGG19,MobileNetV2,Xception,and InceptionResNetV2—leveraging transfer learning and fine-tuning to enhance liveness detection performance.The models were trained and tested on NUAA and Replay-Attack datasets,with cross-dataset generalization validated on SiW-MV2 to assess real-world adaptability.Performance was evaluated using accuracy,precision,recall,FAR,FRR,HTER,and specialized spoof detection metrics(APCER,NPCER,ACER).Fine-tuning significantly improved detection accuracy,with DenseNet201 achieving the highest performance(98.5%on NUAA,97.71%on Replay-Attack),while MobileNetV2 proved the most efficient model for real-time applications(latency:15 ms,memory usage:45 MB,energy consumption:30 mJ).A statistical significance analysis(paired t-tests,confidence intervals)validated these improvements.Cross-dataset experiments identified DenseNet201 and MobileNetV2 as the most generalizable architectures,with DenseNet201 achieving 86.4%accuracy on Replay-Attack when trained on NUAA,demonstrating robust feature extraction and adaptability.In contrast,ResNet50 showed lower generalization capabilities,struggling with dataset variability and complex spoofing attacks.These findings suggest that MobileNetV2 is well-suited for low-power applications,while DenseNet201 is ideal for high-security environments requiring superior accuracy.This research provides a framework for improving real-time face liveness detection,enhancing biometric security,and guiding future advancements in AI-driven anti-spoofing techniques.展开更多
This review synthesizes 48 academic studies on Initial Coin Offerings(ICOs)from 2018 to 2023,employing bibliometric and content analyses to illuminate their complexities and innovation in entrepreneurial finance.It id...This review synthesizes 48 academic studies on Initial Coin Offerings(ICOs)from 2018 to 2023,employing bibliometric and content analyses to illuminate their complexities and innovation in entrepreneurial finance.It identifies four key themes:(1)regulatory intricacies,market transformation,and strategic implications for emerging ventures;(2)the opportunities and challenges presented,and key factors influencing the success of ICOs;(3)ICOs and entrepreneurial finance;and finally,(4)review of reviews.By examining the intersection of legal frameworks,disruptive potential,and stakeholder challenges,this interdisciplinary perspective captures the essence of ICOs and charts a course for future inquiry.It serves as a pivotal reference for researchers,practitioners,and regulators to understand the multifaceted ICO landscape and its implications for the future of finance.展开更多
Retinal blood vessel segmentation is crucial for diagnosing ocular and cardiovascular diseases.Although the introduction of U-Net in 2015 by Olaf Ronneberger significantly advanced this field,yet issues like limited t...Retinal blood vessel segmentation is crucial for diagnosing ocular and cardiovascular diseases.Although the introduction of U-Net in 2015 by Olaf Ronneberger significantly advanced this field,yet issues like limited training data,imbalance data distribution,and inadequate feature extraction persist,hindering both the segmentation performance and optimal model generalization.Addressing these critical issues,the DEFFA-Unet is proposed featuring an additional encoder to process domain-invariant pre-processed inputs,thereby improving both richer feature encoding and enhanced model generalization.A feature filtering fusion module is developed to ensure the precise feature filtering and robust hybrid feature fusion.In response to the task-specific need for higher precision where false positives are very costly,traditional skip connections are replaced with the attention-guided feature reconstructing fusion module.Additionally,innovative data augmentation and balancing methods are proposed to counter data scarcity and distribution imbalance,further boosting the robustness and generalization of the model.With a comprehensive suite of evaluation metrics,extensive validations on four benchmark datasets(DRIVE,CHASEDB1,STARE,and HRF)and an SLO dataset(IOSTAR),demonstrate the proposed method’s superiority over both baseline and state-of-the-art models.Particularly the proposed method significantly outperforms the compared methods in cross-validation model generalization.展开更多
文摘Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO Press Prof.Peter Wiedemann gave some guidance to IJO,recognized that it is a high-quality academic journal,and expected that it will make a greater contribution to the world ophthalmology.
文摘Warmly welcome Prof.Peter Wiedemann(middle),President of ICO/General Advisor of IJO to visit IJO PressProf.Xiu-Wen Hu,Chief Editor of IJO,and Prof.Yan-Nian Hui,Editor-in-Chief of IJO,introduced the current situation of IJ O to Prof.Peter Wiedemann,President of ICOProf.Xiu-Wen Hu(left),Chief Editor of IJO,and Prof.Yan-Nian Hui(right),Editor-in-Chief of IJO.
基金supported by the Shanghai Pilot Program for Basic Research(22T01400100-18)the National Natural Science Foundation of China(22278127 and 12447149)+1 种基金the Fundamental Research Funds for the Central Universities(2022ZFJH004)the Postdoctoral Fellowship Program of CPSF(GZB20250159).
文摘Accurate state of health(SOH)estimation is essential for the safe and reliable operation of lithium-ion batteries.However,existing methods face significant challenges,primarily because they rely on complete charge–discharge cycles and fixed-form physical constraints,which limit adaptability to different chemistries and real-world conditions.To address these issues,this study proposes an approach that extracts features from segmented state of charge(SOC)intervals and integrates them into an enhanced physics-informed neural network(PINN).Specifically,voltage data within the 25%–75%SOC range during charging are used to derive statistical,time–frequency,and mechanism-based features that capture degradation trends.A hybrid PINN-Lasso-Transformer-BiLSTM architecture is developed,where Lasso regression enables sparse feature selection,and a nonlinear empirical degradation model is embedded as a learnable physical term within a dynamically scaled composite loss.This design adaptively balances data-driven accuracy with physical consistency,thereby enhancing estimation precision,robustness,and generalization.The results show that the proposed method outperforms conventional neural networks across four battery chemistries,achieving root mean square error and mean absolute error below 1%.Notably,features from partial charging segments exhibit higher robustness than those from full cycles.Furthermore,the model maintains strong performance under high temperatures and demonstrates excellent generalization capacity in transfer learning across chemistries,temperatures,and C-rates.This work establishes a scalable and interpretable solution for accurate SOH estimation under diverse practical operating conditions.
基金National Natural Science Foundation of China(42375153,42105153,42205157)Development of Science and Technology at Chinese Academy of Meteorological Sciences(2023KJ038)。
文摘Clouds play an important role in global atmospheric energy and water vapor budgets, and the low cloud simulations suffer from large biases in many atmospheric general circulation models. In this study, cloud microphysical processes such as raindrop evaporation and cloud water accretion in a double-moment six-class cloud microphysics scheme were revised to enhance the simulation of low clouds using the Global-Regional Integrated Forecast System(GRIST)model. The validation of the revised scheme using a single-column version of the GRIST demonstrated a reasonable reduction in liquid water biases. The revised parameterization simulated medium-and low-level cloud fractions that were in better agreement with the observations than the original scheme. Long-term global simulations indicate the mitigation of the originally overestimated low-level cloud fraction and cloud-water mixing ratio in mid-to high-latitude regions,primarily owing to enhanced accretion processes and weakened raindrop evaporation. The reduced low clouds with the revised scheme showed better consistency with satellite observations, particularly at mid-and high-latitudes. Further improvements can be observed in the simulated cloud shortwave radiative forcing and vertical distribution of total cloud cover. Annual precipitation in mid-latitude regions has also improved, particularly over the oceans, with significantly increased large-scale and decreased convective precipitation.
文摘Heterogeneous catalysis is a complex,multiscale phenomenon in which reactions occur at dynamically evolving surfaces.A longstanding goal is to probe these processes to distill design rules for novel catalytic materials,a capability that is essential to the transition toward a sustainable future[1–3].
文摘Making full use of the operator ordering method and the integration within ordered products,we obtain the analytical evolution law of a general quadratic state in the amplitude decay channel,and find that it is determined not only by the decay rate of the amplitude decay channel but also by the coefficients of the initial quadratic state.Further,the quantum statistical properties of the initial quadratic state for amplitude decay are investigated via its average photon number and photon-counting distribution,and its Wigner distribution function evolution is discussed in detail.
文摘Bruce E,Spivey,M.D.,was President of the International Council of Ophthalmology (ICO)from 2006 to 2014 and served as ICO Secretary-General from1994 to 2006;and is general scientific advisor of International Journal of Ophthalmology (IJO)from 2003 to present.Professor Spivey trained as an ophthalmologist and medical educator.He has worked extensively to enhance ophthalmic education and eye care internationally.
基金the National Natural Science Foundation of China ( 1 0 4 71 0 94) ,the ScienceFoundation of Shanghai Technical Sciences Committee ( 0 2 ZA1 40 70 ) and the Science Foundation ofShanghai Education Committee( 0 2 DK0 6)
文摘This paper proposes a nonmonotonic backtracking trust region algorithm via bilevel linear programming for solving the general multicommodity minimal cost flow problems.Using the duality theory of the linear programming and convex theory,the generalized directional derivative of the general multicommodity minimal cost flow problems is derived.The global convergence and superlinear convergence rate of the proposed algorithm are established under some mild conditions.
文摘BACKGROUND Currently,very few studies have examined the analgesic effectiveness and safety of dexmedetomidine-assisted intravenous-inhalation combined general anesthesia in laparoscopic minimally invasive surgery for inguinal hernia.AIM To investigate the analgesic effect and safety of dexmedetomidine-assisted intravenous-inhalation combined general anesthesia in laparoscopic minimally invasive surgery for inguinal hernia.METHODS In this retrospective study,94 patients scheduled for laparoscopic minimally invasive surgery for inguinal hernia,admitted to Yiwu Central Hospital between May 2022 and May 2023,were divided into a control group(inhalation combined general anesthesia)and a treatment group(dexmedetomidine-assisted intrave-nous-inhalation combined general anesthesia).Perioperative indicators,analgesic effect,preoperative and postoperative 24-hours blood pressure(BP)and heart rate(HR),stress indicators,immune function levels,and adverse reactions were com-pared between the two groups.RESULTS Baseline data,including age,hernia location,place of residence,weight,monthly income,education level,and underlying diseases,were not significantly different between the two groups,indicating comparability(P>0.05).No significant difference was found in operation time and anesthesia time between the two groups(P>0.05).However,the treatment group exhibited a shorter postoperative urinary catheter removal time and hospital stay than the control group(P<0.05).Preoperatively,no significant differences were found in the visual analog scale(VAS)scores between the two groups(P>0.05).However,at 12,18,and 24 hours postoper-atively,the treatment group had significantly lower VAS scores than the control group(P<0.05).Although no significant differences in preoperative hemodynamic indicators were found between the two groups(P>0.05),both groups experienced some extent of changes in postoperative HR,diastolic BP(DBP),and systolic BP(SBP).Nevertheless,the treatment group showed smaller changes in HR,DBP,and SBP than the control group(P<0.05).Preoperative immune function indicators showed no significant differences between the two groups(P>0.05).However,postoperatively,the treatment group demonstrated higher levels of CD3+,CD4+,and CD4+/CD8+and lower levels of CD8+than the control group(P<0.05).The rates of adverse reactions were 6.38%and 23.40%in the treatment and control groups,respectively,revealing a significant difference(χ2=5.371,P=0.020).CONCLUSION Dexmedetomidine-assisted intravenous-inhalation combined general anesthesia can promote early recovery of patients undergoing laparoscopic minimally invasive surgery for inguinal hernia.It ensures stable blood flow,improves postoperative analgesic effects,reduces postoperative pain intensity,alleviates stress response,improves immune function,facilitates anesthesia recovery,and enhances safety.
文摘Background: The seroepidemiology of Helicobacter pylori infection in general population in Durango City, Mexico has not been previously studied. Aims: To determine the seroprevalence of anti-H. pylori antibodies in the general population in Durango City, Mexico;and to determine socio-demographic, clinical, and behavioral characteristics of the general population associated with H. pylori seropositivity. Methods: The prevalence of anti-H. pylori IgG antibodies was examined in 345 individuals in Durango City, Mexico, using enzyme-linked immunoassays. Socio-demographic, clinical, and behavioral characteristics of the general population associated with H. pylori seroprevalence were also investigated. Results: In total, 231 (67%) of the 345 participants (mean age, 45.3. ± 17.5 years) had H. pylori IgG antibodies, 146 (63.2%) of whom had H. pylori IgG antibody levels higher than 100 U/mL. Both H. pylori seroprevalence and antibody levels increased significantly with age, and were similar in males and females. An increased H. pylori seroprevalence was found in subjects with low education and employed. In contrast, a low seroprevalence was found in subjects living in suburban areas. One of four subjects with gastritis symptoms had anti-H. pylori antibodies. The seroprevalence of H. pylori was significantly higher among women with abortion history than among those without such history. Multivariate analysis of behavioral variables showed that H. pylori seropositivity was negatively associated with raising farm animals (OR = 0.48;95% CI: 0.25-0.91;P = 0.02). Conclusions: In the general population studied, H. pylori seroreactivity increased significantly with age, not only in frequency but also in intensity. Residence, education, and occupation of the study population influenced the seropositivity rate of H. pylori.
文摘The former Vice-President of the International Council of Ophthalmology(ICO).Professor of Ophthalmology Emeritus Johns Hopkins University School of Medicine,Wilmer Eye Institute,USA.The first Director of the Department of Ophthalmology and Visual Sciences,The Chinese University of Hong Kong China.The first Director of the Peking University Eye Center,China.
基金funded by Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS),Faculty of Engineering and IT,University of Technology Sydney.Moreover,Ongoing Research Funding Program(ORF-2025-14)King Saud University,Riyadh,Saudi Arabia,under Project ORF-2025-。
文摘Face liveness detection is essential for securing biometric authentication systems against spoofing attacks,including printed photos,replay videos,and 3D masks.This study systematically evaluates pre-trained CNN models—DenseNet201,VGG16,InceptionV3,ResNet50,VGG19,MobileNetV2,Xception,and InceptionResNetV2—leveraging transfer learning and fine-tuning to enhance liveness detection performance.The models were trained and tested on NUAA and Replay-Attack datasets,with cross-dataset generalization validated on SiW-MV2 to assess real-world adaptability.Performance was evaluated using accuracy,precision,recall,FAR,FRR,HTER,and specialized spoof detection metrics(APCER,NPCER,ACER).Fine-tuning significantly improved detection accuracy,with DenseNet201 achieving the highest performance(98.5%on NUAA,97.71%on Replay-Attack),while MobileNetV2 proved the most efficient model for real-time applications(latency:15 ms,memory usage:45 MB,energy consumption:30 mJ).A statistical significance analysis(paired t-tests,confidence intervals)validated these improvements.Cross-dataset experiments identified DenseNet201 and MobileNetV2 as the most generalizable architectures,with DenseNet201 achieving 86.4%accuracy on Replay-Attack when trained on NUAA,demonstrating robust feature extraction and adaptability.In contrast,ResNet50 showed lower generalization capabilities,struggling with dataset variability and complex spoofing attacks.These findings suggest that MobileNetV2 is well-suited for low-power applications,while DenseNet201 is ideal for high-security environments requiring superior accuracy.This research provides a framework for improving real-time face liveness detection,enhancing biometric security,and guiding future advancements in AI-driven anti-spoofing techniques.
文摘This review synthesizes 48 academic studies on Initial Coin Offerings(ICOs)from 2018 to 2023,employing bibliometric and content analyses to illuminate their complexities and innovation in entrepreneurial finance.It identifies four key themes:(1)regulatory intricacies,market transformation,and strategic implications for emerging ventures;(2)the opportunities and challenges presented,and key factors influencing the success of ICOs;(3)ICOs and entrepreneurial finance;and finally,(4)review of reviews.By examining the intersection of legal frameworks,disruptive potential,and stakeholder challenges,this interdisciplinary perspective captures the essence of ICOs and charts a course for future inquiry.It serves as a pivotal reference for researchers,practitioners,and regulators to understand the multifaceted ICO landscape and its implications for the future of finance.
文摘Retinal blood vessel segmentation is crucial for diagnosing ocular and cardiovascular diseases.Although the introduction of U-Net in 2015 by Olaf Ronneberger significantly advanced this field,yet issues like limited training data,imbalance data distribution,and inadequate feature extraction persist,hindering both the segmentation performance and optimal model generalization.Addressing these critical issues,the DEFFA-Unet is proposed featuring an additional encoder to process domain-invariant pre-processed inputs,thereby improving both richer feature encoding and enhanced model generalization.A feature filtering fusion module is developed to ensure the precise feature filtering and robust hybrid feature fusion.In response to the task-specific need for higher precision where false positives are very costly,traditional skip connections are replaced with the attention-guided feature reconstructing fusion module.Additionally,innovative data augmentation and balancing methods are proposed to counter data scarcity and distribution imbalance,further boosting the robustness and generalization of the model.With a comprehensive suite of evaluation metrics,extensive validations on four benchmark datasets(DRIVE,CHASEDB1,STARE,and HRF)and an SLO dataset(IOSTAR),demonstrate the proposed method’s superiority over both baseline and state-of-the-art models.Particularly the proposed method significantly outperforms the compared methods in cross-validation model generalization.
