AIM:To evaluate the prevalence and the causes of blindness,severe visual impairment(SVI),and visual impairment(VI)and to investigate the frequency of cataract surgery in people aged≥50y in Yueqing,Zhejiang Province,C...AIM:To evaluate the prevalence and the causes of blindness,severe visual impairment(SVI),and visual impairment(VI)and to investigate the frequency of cataract surgery in people aged≥50y in Yueqing,Zhejiang Province,China.METHODS:A population-based,cross-sectional study was performed using the Rapid Assessment of Avoidable Blindness technique.Eight-seven clusters,each consisting of 50 people aged≥50y,were selected by probabilityproportionate-to-size sampling.Three outreach teams conducted door-to-door visits.Visual acuity(VA)was measured using a tumbling E chart.Lens status and causes of VI were assessed by ophthalmologists for individuals with a VA of<6/12 in either eye.A standardized questionnaire was used to collect information about cataract surgeries.RESULTS:Of 4350 eligible individuals,4120 were examined with a 94.7%response rate.Age-and genderadjusted prevalence of blindness,SVI,and VI were 0.5%(95%CI,0.3%–0.7%),0.7%(95%CI,0.4%–1.0%),and 4.8%(95%CI,4.2%–5.5%),respectively.Age was associated with an increased prevalence of VI,and the most common cause of VI was untreated cataracts,with the main barriers to cataract surgery being a lack of knowledge or awareness about cataracts.Of the 415 eyes operated on for cataracts,68(16.4%)eyes had a poor outcomes(VA<6/60)and 303(73.0%)had a good outcomes(VA>6/18).CONCLUSION:Prevalence rates of blindness,SVI,and VI in Yueqing are lower than other reported Chinese population-based studies.Cataracts remain the most common cause of blindness and VI.展开更多
This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system ci...This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system circuit is designed and fabricated,enabling the detection,acquisition,and calibration of weak solar-blind UV signals.Experimental results demonstrate that under zero bias conditions,with a UV light power density of 3.45μW/cm^(2) at 260 nm,the sample achieves a peak responsivity(R)of 0.085 A·W^(−1),an external quantum efficiency(EQE)of 40.7%,and a detectivity(D^(*))of 7.46×10^(12) cm·Hz^(1/2)·W^(−1).The system exhibits a bandpass characteristic within the 240–280 nm wavelength range,coupled with a high signal-to-noise ratio(SNR)of 39.74 dB.展开更多
Blockchain-enabled Internet of Medical Things (BIoMT) has attracted significant attention from academia and healthcare organizations. However, the large amount of medical data involved in BIoMT has also raised concern...Blockchain-enabled Internet of Medical Things (BIoMT) has attracted significant attention from academia and healthcare organizations. However, the large amount of medical data involved in BIoMT has also raised concerns about data security and personal privacy protection. To alleviate these concerns, blind signature technology has emerged as an effective method to solve blindness and unforgeability. Unfortunately, most existing blind signature schemes suffer from the security risk of key leakage. In addition, traditional blind signature schemes are also vulnerable to quantum computing attacks. Therefore, it remains a crucial and ongoing challenge to explore the construction of key-secure, quantum-resistant blind signatures. In this paper, we introduce lattice-based forward-secure blind signature (LFSBS), a lattice-based forward-secure blind signature scheme for medical privacy preservation in BIoMT. LFSBS achieves forward security by constructing a key evolution mechanism using a binary tree structure. This mechanism ensures that even if future encryption keys are leaked, past data can still remain secure. Meanwhile, LFSBS realizes post-quantum security based on the hardness assumption of small integer solution (SIS), making it resistant to potential quantum computing attacks. In addition, we formally define and prove the security of LFSBS in a random oracle model, including blindness and forward-secure unforgeability. Comprehensive performance evaluation shows that LFSBS performs well in terms of computational overhead, with a reduction of 22%–73% compared to previous schemes.展开更多
Background:Blindness and vision impairment(BVI)continue to pose significant global public health challenges,disproportionately impacting vulnerable populations and further widening socioeconomic disparities.This study...Background:Blindness and vision impairment(BVI)continue to pose significant global public health challenges,disproportionately impacting vulnerable populations and further widening socioeconomic disparities.This study conducts a comprehensive evaluation of the global burden of BVI and the socioeconomic inequalities in its distribution from 1990 to 2021,aiming to provide insights for targeted intervention strategies.Methods:Using data from Global Burden of Disease 2021,this study performed a multiscale analysis of BVI burden,examining patterns at the global,regional and national levels.We quantified the disease burden using disability-adjusted life years DALY and prevalence rates.Temporal trends were analyzed by calculating estimated annual percentage changes(EAPC).Stratified assessments were carried out by sex and age group across 21 regions and 204 countries.The study also included comparative analyses of six major eye conditions and evaluated their associations with socio-demographic index(SDI).Results:Globally,the age-standardized prevalence of BVI increased from 12,453.52 per million(95%UI:10,287.58-15,226.09)in 1990 to 15,784.33 per million(12,761.44-19,502.32)in 2021,with an EAPC of 1.09%(95%UI:0.97-1.20).During this period,global DALYs attributable to BVI increased by 37.7%.Disease trends exhibited significant divergence,with near vision loss showing the steepest increase(EAPC:1.47%),while the prevalence of glaucoma declined(EAPC:-0.73%).Geographic disparities were pronounced,with substantial improvements observed in Equatorial Guinea(EAPC:-1.75)and worsening burdens in Benin(+0.54).Disease distribution demonstrated strong regional clustering,with near vision loss being predominant in Sub-Saharan Africa(64.47%)and East Asia(50.97%),while cataract was the most common condition in Oceania(33.86%).Females consistently bore a higher burden,particularly in South Asia(646.3 vs 563.2 DALYs).Moreover,we identified a strong inverse correlation between SDI and BVI burden(Ρ=-0.772 for DALYs).Conclusions:This study highlights the severe global burden of BVI and the significant cross-country inequality,particularly in low-and middle-income countries.It emphasizes the urgent need for targeted interventions and the integration of eye care into universal health policies to promote global health equity in the post-pandemic era.展开更多
In 5G new radio(NR), polar codes are adopted for e MBB downlink control channels where the blind detection is employed in user equipment(UE) to identify the correct downlink control information(DCI). However, differen...In 5G new radio(NR), polar codes are adopted for e MBB downlink control channels where the blind detection is employed in user equipment(UE) to identify the correct downlink control information(DCI). However, different from that in the 4G LTE system, the cyclic redundancy check(CRC) in polar decoding plays both error correction and error detection roles. Consequently, the false alarm rates(FAR) may not meet the system requirements(FAR<1.52 × 10^(−5)). In this paper, to mitigate the FAR in polar code blind detection, we attach a binary classifier after the polar decoder to further remove the false alarm results and meanwhile retain the correct DCI. This classifier works by tracking the squared Euclidean distance ratio(SEDR) between the received signal and hypothesis. We derive an analytical method to fast compute proper classification threshold that is implementation-friendly in practical use. Combining the well-designed classifier, we show that some very short CRC sequences can even be used to meet the FAR requirements. This consequently reduces the CRC overhead and contributes to the system error performance improvements.展开更多
AIM:To identify risk factors for postoperative blindness in patients with primary rhegmatogenous retinal detachment(RRD)at their first presentation to a tertiary center,using a large clinical database to improve under...AIM:To identify risk factors for postoperative blindness in patients with primary rhegmatogenous retinal detachment(RRD)at their first presentation to a tertiary center,using a large clinical database to improve understanding of this adverse outcome.METHODS:Electronic health records of patients with primary RRD from the Eye Hospital of Wenzhou Medical University were retrospectively analyzed.Postoperative blindness was defined according to the World Health Organization(WHO)criteria for legal blindness.Potential risk factors included demographic characteristics,preoperative clinical features,and surgical variables.Univariable and multivariable logistic regression analyses were performed to calculate odds ratios(ORs)and 95%confidence intervals(CIs)for each risk factor.RESULTS:A total of 532 patients were included in the cohort,of whom 62(12.0%;28 males,34 females)developed postoperative blindness at the final follow-up.Among these 62 patients,30 had high myopia and 32 did not.The mean age of participants was 49.0±16.4y,with 275 subjects(52%)being male and 133 patients(25%)having the condition in the right eye.In the multivariable model for all patients,the following factors were associated with an increased risk of postoperative blindness:higher preoperative logarithm of the minimum angle of resolution visual acuity(logMAR VA;OR=1.09 per 0.1 logMAR unit increase,95%CI 1.03-1.15);inferior or superior retinal breaks(OR=2.42,95%CI 1.12-5.24);and macular holes or superior retinal breaks(OR=8.46,95%CI 3.45-20.75).In the subgroup of patients with high myopia,risk factors for postoperative blindness included:pseudophakia/aphakia versus phakia(OR=6.33,95%CI 1.41-28.31);macular holes or superior retinal breaks(OR=15.15,95%CI 3.07-74.85);and proliferative vitreoretinopathy(PVR;OR=21.41,95%CI 2.14-214.57).In the subgroup of patients without high myopia,increased risk of postoperative blindness was associated with:higher preoperative logMAR VA(OR=1.11 per 0.1 logMAR unit increase,95%CI 1.04-1.18);and inferior or superior retinal breaks(OR=2.90,95%CI 1.19-7.06).CONCLUSION:Using a large real-world clinical database,we identified distinct risk factors for postoperative blindness in patients with primary RRD-including differences between those with and without high myopia.These findings emphasize the need to target specific risk factors in clinical practice to mitigate and reduce the incidence of postoperative blindness in this patient population.展开更多
Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of th...Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.展开更多
At a February 2025 meeting,researchers presented their latest findings from a phase 1/2 clinical trial of a gene therapy,DB-OTO,developed by Regeneron Pharmaceuticals(Tarrytown,NY,USA)for a particular type of profound...At a February 2025 meeting,researchers presented their latest findings from a phase 1/2 clinical trial of a gene therapy,DB-OTO,developed by Regeneron Pharmaceuticals(Tarrytown,NY,USA)for a particular type of profound hearing loss in children.Nearly all the 12 participants,with no serious adverse events,experienced clinically meaningful and durable hearing improve-ments[1].A toddler born deaf,for example,could hear well enough after treatment to quack when asked,“What sound does a duck make?”[2].展开更多
OBJECTIVE:To evaluate the effect of Yiqi Liangxue Shengji prescription(益气凉血生肌方,YQLXSJ)on cardiac function and outcomes in acute myocardial infarction(AMI)patients with myocardial ischemiareperfusion injury(MIRI...OBJECTIVE:To evaluate the effect of Yiqi Liangxue Shengji prescription(益气凉血生肌方,YQLXSJ)on cardiac function and outcomes in acute myocardial infarction(AMI)patients with myocardial ischemiareperfusion injury(MIRI)and to determine its clinical efficacy.METHODS:This prospective,randomized,double-blind,placebo-controlled trial enrolled hospitalized patients with AMI who underwent percutaneous coronary intervention and experienced MIRI either intraoperatively or postoperatively.Participants were randomly allocated to the treatment group,which received YQLXSJ,or the control group,which received a placebo,concurrent with standard Western Medicine therapy.The intervention period lasted 8 weeks.The primary outcome measure was left ventricular ejection fraction(LVEF),determined by echocardiography.Secondary outcomes included Nterminal pro brain natriuretic peptide(NT-pro BNP)and cardiac troponin I(cTnI)levels,left ventricular internal diameter,major adverse cardiovascular events(MACE),angina pectoris scores,and Chinese medicine evidence scores.RESULTS:Following 8 weeks of intervention,the treatment group demonstrated a significant increase in LVEF and a marked reduction in NT-pro BNP when compared to the control group.There was also a significant decrease in peak cTnI levels,Chinese medicine evidence scores,and angina pectoris scores.The control group's left ventricular end-systolic diameter(LVESD)significantly increased compared to baseline after 8 weeks(P<0.05),whereas the treatment group's LVESD showed no significant change from baseline(P>0.05).Although the treatment group showed a downward trend in MACE incidence compared to the control group,this difference was not statistically significant(P>0.05).CONCLUSIONS:This study demonstrated that the addition of YQLXSJ to standard therapy can improve cardiac function and alleviate clinical symptoms in AMI patients with MIRI,and also showed a potential to mitigate the incidence of MACE.Furthermore,YQLXSJ displayed a favorable safety profile in clinical application.展开更多
Most blind image quality assessment(BIQA)methods require a large amount of time to collect human opinion scores as training labels,which limits their usability in practice.Thus,we present an opinion-unaware BIQA metho...Most blind image quality assessment(BIQA)methods require a large amount of time to collect human opinion scores as training labels,which limits their usability in practice.Thus,we present an opinion-unaware BIQA method based on deep reinforcement learning which is trained without subjective scores,named DRL-IQA.Inspired by the human visual perception process,our model is formulated as a quality reinforced agent,which consists of the dynamic distortion generation part and the quality perception part.By considering the image distortion degradation process as a sequential decision-making process,the dynamic distortion generation part can develop a strategy to add as many different distortions as possible to an image,which enriches the distortion space to alleviate overfitting.A reward function calculated from quality degradation after adding distortion is utilized to continuously optimize the strategy.Furthermore,the quality perception part can extract rich quality features from the quality degradation process without using subjective scores,and accurately predict the state values that represent the image quality.Experimental results reveal that our method achieves competitive quality prediction performance compared to other state-of-the-art BIQA methods.展开更多
This paper aims to enhance the array Beamforming(BF) robustness by tackling issues related to BF weight state estimation encountered in Constant Modulus Blind Beamforming(CMBB). To achieve this, we introduce a novel a...This paper aims to enhance the array Beamforming(BF) robustness by tackling issues related to BF weight state estimation encountered in Constant Modulus Blind Beamforming(CMBB). To achieve this, we introduce a novel approach that incorporates an L1-regularizer term in BF weight state estimation. We start by explaining the CMBB formation mechanism under conditions where there is a mismatch in the far-field signal model. Subsequently, we reformulate the BF weight state estimation challenge using a method known as variable-splitting, turning it into a noise minimization problem. This problem combines both linear and nonlinear quadratic terms with an L1-regularizer that promotes the sparsity. The optimization strategy is based on a variable-splitting method, implemented using the Alternating Direction Method of Multipliers(ADMM). Furthermore, a variable-splitting framework is developed to enhance BF weight state estimation, employing a Kalman Smoother(KS) optimization algorithm. The approach integrates the Rauch-TungStriebel smoother to perform posterior-smoothing state estimation by leveraging prior data. We provide proof of convergence for both linear and nonlinear CMBB state estimation technology using the variable-splitting KS and the iterated extended Kalman smoother. Simulations corroborate our theoretical analysis, showing that the proposed method achieves robust stability and effective convergence, even when faced with signal model mismatches.展开更多
Jamming suppression is traditionally achieved through the use of spatial filters based on array signal processing theory.In order to achieve better jamming suppression performance,many studies have applied blind sourc...Jamming suppression is traditionally achieved through the use of spatial filters based on array signal processing theory.In order to achieve better jamming suppression performance,many studies have applied blind source separation(BSS)to jamming suppression.BSS can achieve the separation and extraction of the individual source signals from the mixed signal received by the array.This paper proposes a perspective to recognize BSS as spatial band-pass filters(SBPFs)for jamming suppression applications.The theoretical derivation indicates that the processing of mixed signals by BSS can be perceived as the application of a set of SBPFs that gate the source signals at various angles.Simulations are performed using radar jamming suppression as an example.The simulation results suggest that BSS and SBPFs produce approximately the same effects.Simulation results are consistent with theoretical derivation results.展开更多
Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placeb...Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placebo-controlled, parallel-group study included 100 healthy male and female adults aged 20 - 64 years. Participants consumed either the G. hansenii GK-1 supplement (9 × 10⁹ cells/day) or a placebo daily for 12 weeks. The impact of temporary mental stress on fatigue in G. hansenii GK-1 was assessed using a Visual Analog Scale (VAS) before the study began and after 12 weeks of supplementation. Results: Subjective fatigue measured by Visual Analog Scale (VAS) showed a significant decrease in fatigue induced by temporary mental stress after 12 weeks of consumption in the G. hansenii GK-1 group compared with the placebo group. No adverse events were attributed to G. hansenii GK-1. These findings confirm that continuous oral ingestion of G. hansenii GK-1 by healthy Japanese adults reduces feelings of fatigue caused by temporary mental stress.展开更多
A new blind loach of the genus Triplophysa was collected in 2007 from a cave in Leyi village,located near Chuanshan Town,Huangjiang County in the Guangxi Zhuang Autonomous Region of southern China.The new species,Trip...A new blind loach of the genus Triplophysa was collected in 2007 from a cave in Leyi village,located near Chuanshan Town,Huangjiang County in the Guangxi Zhuang Autonomous Region of southern China.The new species,Triplophysa huangjiangensis sp.nov,can be distinguished from its congeners by eyes and scales absent;caudalfin forked;adipose keel present;lips with furrows;distal margin of dorsal-fin truncate,dorsal fin origin much closer to caudal-fin base than snout tip;8-9 branched dorsal-fin rays;6-7 branched pelvic-fin rays;6 branched anal-fin rays;10-11 branched pectoral-fin rays;13-14 branched caudal-fin rays;pectoral-fin length 52.3%-70.7% the distance between pectoral-fin origin to pelvic-fin origin;dorsal-fin origin posterior to vertical line of pelvic-fin origin;outer rostral barbel longer than other two pairs of barbels,with 47.0%-73.8% of lateral head length;anterior nostril with elongate barbel-like tip;and posterior chamber of gas-bladder developed,reaching pelvic-fin origin.展开更多
In seismic data processing, blind deconvolution is a key technology. Introduced in this paper is a flow of one kind of blind deconvolution. The optimal precondition conjugate gradients (PCG) in Kyrlov subspace is als...In seismic data processing, blind deconvolution is a key technology. Introduced in this paper is a flow of one kind of blind deconvolution. The optimal precondition conjugate gradients (PCG) in Kyrlov subspace is also used to improve the stability of the algorithm. The computation amount is greatly decreased.展开更多
Certificateless public key cryptography is a new paradigm introduced by Al-Riyami and Paterson.It eliminates the need of the certificates in traditional public key cryptosystems and the key escrow problem in IDentity-...Certificateless public key cryptography is a new paradigm introduced by Al-Riyami and Paterson.It eliminates the need of the certificates in traditional public key cryptosystems and the key escrow problem in IDentity-based Public Key Cryptography(ID-PKC).Due to the advantages of the certificateless public key cryptography,a new efficient certificateless pairing-based signature scheme is presented,which has some advantages over previous constructions in computational cost.Based on this new signature scheme,a certificateless blind signature scheme is proposed.The security of our schemes is proven based on the hardness of computational Diffie-Hellman problem.展开更多
To overcome the inter-carrier interference （ICI） of orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） and multipath, this paper develops a blind adaptive...To overcome the inter-carrier interference （ICI） of orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） and multipath, this paper develops a blind adaptive interference suppression scheme based on independent component analysis （ICA）. Taking into account statistical independence of subcarriers＇ signals of OFDM, the signal recovery mechanism is investigated to achieve the goal of blind equalization. The received OFDM signals can be considered as the mixed observation signals. The effect of CFO and multipath corresponds to the mixing matrix in the problem of blind source separation （BSS） framework. In this paper, the ICA- based OFDM system model is built, and the proposed ICA-based detector is exploited to extract source signals from the observation of a received mixture based on the assumption of statistical independence between the sources. The blind separation technique can increase spectral efficiency and provide robustness performance against erroneous parameter estimation problem. Theoretical analysis and simulation results show that compared with the conventional pilot-based scheme, the improved performance of OFDM systems is obtained by the proposed ICA-based detection technique.展开更多
基金Supported by Zhejiang Province Science and Technology Benefiting Project(No.2014H01007)Wenzhou Municipal Basic Research Project(No.Y20210208).
文摘AIM:To evaluate the prevalence and the causes of blindness,severe visual impairment(SVI),and visual impairment(VI)and to investigate the frequency of cataract surgery in people aged≥50y in Yueqing,Zhejiang Province,China.METHODS:A population-based,cross-sectional study was performed using the Rapid Assessment of Avoidable Blindness technique.Eight-seven clusters,each consisting of 50 people aged≥50y,were selected by probabilityproportionate-to-size sampling.Three outreach teams conducted door-to-door visits.Visual acuity(VA)was measured using a tumbling E chart.Lens status and causes of VI were assessed by ophthalmologists for individuals with a VA of<6/12 in either eye.A standardized questionnaire was used to collect information about cataract surgeries.RESULTS:Of 4350 eligible individuals,4120 were examined with a 94.7%response rate.Age-and genderadjusted prevalence of blindness,SVI,and VI were 0.5%(95%CI,0.3%–0.7%),0.7%(95%CI,0.4%–1.0%),and 4.8%(95%CI,4.2%–5.5%),respectively.Age was associated with an increased prevalence of VI,and the most common cause of VI was untreated cataracts,with the main barriers to cataract surgery being a lack of knowledge or awareness about cataracts.Of the 415 eyes operated on for cataracts,68(16.4%)eyes had a poor outcomes(VA<6/60)and 303(73.0%)had a good outcomes(VA>6/18).CONCLUSION:Prevalence rates of blindness,SVI,and VI in Yueqing are lower than other reported Chinese population-based studies.Cataracts remain the most common cause of blindness and VI.
基金supported by the Director’s Fund for the‘Climbing Plan’of the National Space Science Centre of the Chinese Academy of Sciences(No.E2PD10011S)the National Engineering Research Centre for Mobile Private Networks Project(No.BJTU20221102).
文摘This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system circuit is designed and fabricated,enabling the detection,acquisition,and calibration of weak solar-blind UV signals.Experimental results demonstrate that under zero bias conditions,with a UV light power density of 3.45μW/cm^(2) at 260 nm,the sample achieves a peak responsivity(R)of 0.085 A·W^(−1),an external quantum efficiency(EQE)of 40.7%,and a detectivity(D^(*))of 7.46×10^(12) cm·Hz^(1/2)·W^(−1).The system exhibits a bandpass characteristic within the 240–280 nm wavelength range,coupled with a high signal-to-noise ratio(SNR)of 39.74 dB.
基金funded by the Yunnan Key Laboratory of Blockchain Application Technology(202105AG070005,202305AG340008)&YNB202301,NSFC(Grant Nos.72293583,72293580,62476007,62176273,62271234)the Open Foundation of State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications)(SKLNST-2024-1-06)+2 种基金the Project of Science and Technology Major Project of Yunnan Province(202302AF080006)Open Foundation of State Key Laboratory of Public Big Data(Guizhou University)under Grant No.PBD2022-16Double First-Class Project for Collaborative Innovation Achievements inDisciplines Construction in Heilongjiang Province under Grant No.GXCG2022-054.
文摘Blockchain-enabled Internet of Medical Things (BIoMT) has attracted significant attention from academia and healthcare organizations. However, the large amount of medical data involved in BIoMT has also raised concerns about data security and personal privacy protection. To alleviate these concerns, blind signature technology has emerged as an effective method to solve blindness and unforgeability. Unfortunately, most existing blind signature schemes suffer from the security risk of key leakage. In addition, traditional blind signature schemes are also vulnerable to quantum computing attacks. Therefore, it remains a crucial and ongoing challenge to explore the construction of key-secure, quantum-resistant blind signatures. In this paper, we introduce lattice-based forward-secure blind signature (LFSBS), a lattice-based forward-secure blind signature scheme for medical privacy preservation in BIoMT. LFSBS achieves forward security by constructing a key evolution mechanism using a binary tree structure. This mechanism ensures that even if future encryption keys are leaked, past data can still remain secure. Meanwhile, LFSBS realizes post-quantum security based on the hardness assumption of small integer solution (SIS), making it resistant to potential quantum computing attacks. In addition, we formally define and prove the security of LFSBS in a random oracle model, including blindness and forward-secure unforgeability. Comprehensive performance evaluation shows that LFSBS performs well in terms of computational overhead, with a reduction of 22%–73% compared to previous schemes.
基金supported by grants from the National Natural Science Foundation of China(82000901,82171084).
文摘Background:Blindness and vision impairment(BVI)continue to pose significant global public health challenges,disproportionately impacting vulnerable populations and further widening socioeconomic disparities.This study conducts a comprehensive evaluation of the global burden of BVI and the socioeconomic inequalities in its distribution from 1990 to 2021,aiming to provide insights for targeted intervention strategies.Methods:Using data from Global Burden of Disease 2021,this study performed a multiscale analysis of BVI burden,examining patterns at the global,regional and national levels.We quantified the disease burden using disability-adjusted life years DALY and prevalence rates.Temporal trends were analyzed by calculating estimated annual percentage changes(EAPC).Stratified assessments were carried out by sex and age group across 21 regions and 204 countries.The study also included comparative analyses of six major eye conditions and evaluated their associations with socio-demographic index(SDI).Results:Globally,the age-standardized prevalence of BVI increased from 12,453.52 per million(95%UI:10,287.58-15,226.09)in 1990 to 15,784.33 per million(12,761.44-19,502.32)in 2021,with an EAPC of 1.09%(95%UI:0.97-1.20).During this period,global DALYs attributable to BVI increased by 37.7%.Disease trends exhibited significant divergence,with near vision loss showing the steepest increase(EAPC:1.47%),while the prevalence of glaucoma declined(EAPC:-0.73%).Geographic disparities were pronounced,with substantial improvements observed in Equatorial Guinea(EAPC:-1.75)and worsening burdens in Benin(+0.54).Disease distribution demonstrated strong regional clustering,with near vision loss being predominant in Sub-Saharan Africa(64.47%)and East Asia(50.97%),while cataract was the most common condition in Oceania(33.86%).Females consistently bore a higher burden,particularly in South Asia(646.3 vs 563.2 DALYs).Moreover,we identified a strong inverse correlation between SDI and BVI burden(Ρ=-0.772 for DALYs).Conclusions:This study highlights the severe global burden of BVI and the significant cross-country inequality,particularly in low-and middle-income countries.It emphasizes the urgent need for targeted interventions and the integration of eye care into universal health policies to promote global health equity in the post-pandemic era.
基金supported in part by National Natural Science Foundation of China(No.62471054)in part by National Natural Science Foundation of China(No.92467301)+3 种基金in part by the National Natural Science Foundation of China(No.62201562)in part by the National Natural Science Foundation of China(No.62371063)in part by the National Natural Science Foundation of China(No.62321001)in part by Liaoning Provincial Natural Science Foundation of China(No.2024–BSBA–51).
文摘In 5G new radio(NR), polar codes are adopted for e MBB downlink control channels where the blind detection is employed in user equipment(UE) to identify the correct downlink control information(DCI). However, different from that in the 4G LTE system, the cyclic redundancy check(CRC) in polar decoding plays both error correction and error detection roles. Consequently, the false alarm rates(FAR) may not meet the system requirements(FAR<1.52 × 10^(−5)). In this paper, to mitigate the FAR in polar code blind detection, we attach a binary classifier after the polar decoder to further remove the false alarm results and meanwhile retain the correct DCI. This classifier works by tracking the squared Euclidean distance ratio(SEDR) between the received signal and hypothesis. We derive an analytical method to fast compute proper classification threshold that is implementation-friendly in practical use. Combining the well-designed classifier, we show that some very short CRC sequences can even be used to meet the FAR requirements. This consequently reduces the CRC overhead and contributes to the system error performance improvements.
文摘AIM:To identify risk factors for postoperative blindness in patients with primary rhegmatogenous retinal detachment(RRD)at their first presentation to a tertiary center,using a large clinical database to improve understanding of this adverse outcome.METHODS:Electronic health records of patients with primary RRD from the Eye Hospital of Wenzhou Medical University were retrospectively analyzed.Postoperative blindness was defined according to the World Health Organization(WHO)criteria for legal blindness.Potential risk factors included demographic characteristics,preoperative clinical features,and surgical variables.Univariable and multivariable logistic regression analyses were performed to calculate odds ratios(ORs)and 95%confidence intervals(CIs)for each risk factor.RESULTS:A total of 532 patients were included in the cohort,of whom 62(12.0%;28 males,34 females)developed postoperative blindness at the final follow-up.Among these 62 patients,30 had high myopia and 32 did not.The mean age of participants was 49.0±16.4y,with 275 subjects(52%)being male and 133 patients(25%)having the condition in the right eye.In the multivariable model for all patients,the following factors were associated with an increased risk of postoperative blindness:higher preoperative logarithm of the minimum angle of resolution visual acuity(logMAR VA;OR=1.09 per 0.1 logMAR unit increase,95%CI 1.03-1.15);inferior or superior retinal breaks(OR=2.42,95%CI 1.12-5.24);and macular holes or superior retinal breaks(OR=8.46,95%CI 3.45-20.75).In the subgroup of patients with high myopia,risk factors for postoperative blindness included:pseudophakia/aphakia versus phakia(OR=6.33,95%CI 1.41-28.31);macular holes or superior retinal breaks(OR=15.15,95%CI 3.07-74.85);and proliferative vitreoretinopathy(PVR;OR=21.41,95%CI 2.14-214.57).In the subgroup of patients without high myopia,increased risk of postoperative blindness was associated with:higher preoperative logMAR VA(OR=1.11 per 0.1 logMAR unit increase,95%CI 1.04-1.18);and inferior or superior retinal breaks(OR=2.90,95%CI 1.19-7.06).CONCLUSION:Using a large real-world clinical database,we identified distinct risk factors for postoperative blindness in patients with primary RRD-including differences between those with and without high myopia.These findings emphasize the need to target specific risk factors in clinical practice to mitigate and reduce the incidence of postoperative blindness in this patient population.
基金supported by the Medium and Long-term Science and Technology Plan for Radio,Television,and Online Audiovisuals(2023AC0200)the Public Welfare Technology Application Research Project of Zhejiang Province,China(No.LGF21F010001).
文摘Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.
文摘At a February 2025 meeting,researchers presented their latest findings from a phase 1/2 clinical trial of a gene therapy,DB-OTO,developed by Regeneron Pharmaceuticals(Tarrytown,NY,USA)for a particular type of profound hearing loss in children.Nearly all the 12 participants,with no serious adverse events,experienced clinically meaningful and durable hearing improve-ments[1].A toddler born deaf,for example,could hear well enough after treatment to quack when asked,“What sound does a duck make?”[2].
基金Supported by the Capital’s Funds for Health Improvement and Research:Clinical Study on Yiqi Liangxue Shengji Prescription for Improving Cardiac Function after Myocardial Ischemia Reperfusion Injury in Patients with Acute Myocardial Infarction(CFH 2020-4-4204)Beijing University of Traditional Chinese Medicine Qihuang Yingcai·Excellent Young Science and Technology Talent Cultivation Program(K2023A03)Beijing University of Traditional Chinese Medicine Dongfang Hospital High-level Capacity Building Project"Zhuoyuan"Project National Talent Precision Cultivation Program(DFRCZY-2024GJRC012)。
文摘OBJECTIVE:To evaluate the effect of Yiqi Liangxue Shengji prescription(益气凉血生肌方,YQLXSJ)on cardiac function and outcomes in acute myocardial infarction(AMI)patients with myocardial ischemiareperfusion injury(MIRI)and to determine its clinical efficacy.METHODS:This prospective,randomized,double-blind,placebo-controlled trial enrolled hospitalized patients with AMI who underwent percutaneous coronary intervention and experienced MIRI either intraoperatively or postoperatively.Participants were randomly allocated to the treatment group,which received YQLXSJ,or the control group,which received a placebo,concurrent with standard Western Medicine therapy.The intervention period lasted 8 weeks.The primary outcome measure was left ventricular ejection fraction(LVEF),determined by echocardiography.Secondary outcomes included Nterminal pro brain natriuretic peptide(NT-pro BNP)and cardiac troponin I(cTnI)levels,left ventricular internal diameter,major adverse cardiovascular events(MACE),angina pectoris scores,and Chinese medicine evidence scores.RESULTS:Following 8 weeks of intervention,the treatment group demonstrated a significant increase in LVEF and a marked reduction in NT-pro BNP when compared to the control group.There was also a significant decrease in peak cTnI levels,Chinese medicine evidence scores,and angina pectoris scores.The control group's left ventricular end-systolic diameter(LVESD)significantly increased compared to baseline after 8 weeks(P<0.05),whereas the treatment group's LVESD showed no significant change from baseline(P>0.05).Although the treatment group showed a downward trend in MACE incidence compared to the control group,this difference was not statistically significant(P>0.05).CONCLUSIONS:This study demonstrated that the addition of YQLXSJ to standard therapy can improve cardiac function and alleviate clinical symptoms in AMI patients with MIRI,and also showed a potential to mitigate the incidence of MACE.Furthermore,YQLXSJ displayed a favorable safety profile in clinical application.
基金supported by the Fundamental Research Funds for the Central Universities.
文摘Most blind image quality assessment(BIQA)methods require a large amount of time to collect human opinion scores as training labels,which limits their usability in practice.Thus,we present an opinion-unaware BIQA method based on deep reinforcement learning which is trained without subjective scores,named DRL-IQA.Inspired by the human visual perception process,our model is formulated as a quality reinforced agent,which consists of the dynamic distortion generation part and the quality perception part.By considering the image distortion degradation process as a sequential decision-making process,the dynamic distortion generation part can develop a strategy to add as many different distortions as possible to an image,which enriches the distortion space to alleviate overfitting.A reward function calculated from quality degradation after adding distortion is utilized to continuously optimize the strategy.Furthermore,the quality perception part can extract rich quality features from the quality degradation process without using subjective scores,and accurately predict the state values that represent the image quality.Experimental results reveal that our method achieves competitive quality prediction performance compared to other state-of-the-art BIQA methods.
基金supported in Natural Science Foundation of Shandong Province,China(ZR2013FM018)。
文摘This paper aims to enhance the array Beamforming(BF) robustness by tackling issues related to BF weight state estimation encountered in Constant Modulus Blind Beamforming(CMBB). To achieve this, we introduce a novel approach that incorporates an L1-regularizer term in BF weight state estimation. We start by explaining the CMBB formation mechanism under conditions where there is a mismatch in the far-field signal model. Subsequently, we reformulate the BF weight state estimation challenge using a method known as variable-splitting, turning it into a noise minimization problem. This problem combines both linear and nonlinear quadratic terms with an L1-regularizer that promotes the sparsity. The optimization strategy is based on a variable-splitting method, implemented using the Alternating Direction Method of Multipliers(ADMM). Furthermore, a variable-splitting framework is developed to enhance BF weight state estimation, employing a Kalman Smoother(KS) optimization algorithm. The approach integrates the Rauch-TungStriebel smoother to perform posterior-smoothing state estimation by leveraging prior data. We provide proof of convergence for both linear and nonlinear CMBB state estimation technology using the variable-splitting KS and the iterated extended Kalman smoother. Simulations corroborate our theoretical analysis, showing that the proposed method achieves robust stability and effective convergence, even when faced with signal model mismatches.
基金supported by the National Natural Science Foundation of China(6237104662201048)the Natural Science Foundation of Chongqing,China(cstc2020jcyj-msxmX0260).
文摘Jamming suppression is traditionally achieved through the use of spatial filters based on array signal processing theory.In order to achieve better jamming suppression performance,many studies have applied blind source separation(BSS)to jamming suppression.BSS can achieve the separation and extraction of the individual source signals from the mixed signal received by the array.This paper proposes a perspective to recognize BSS as spatial band-pass filters(SBPFs)for jamming suppression applications.The theoretical derivation indicates that the processing of mixed signals by BSS can be perceived as the application of a set of SBPFs that gate the source signals at various angles.Simulations are performed using radar jamming suppression as an example.The simulation results suggest that BSS and SBPFs produce approximately the same effects.Simulation results are consistent with theoretical derivation results.
文摘Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placebo-controlled, parallel-group study included 100 healthy male and female adults aged 20 - 64 years. Participants consumed either the G. hansenii GK-1 supplement (9 × 10⁹ cells/day) or a placebo daily for 12 weeks. The impact of temporary mental stress on fatigue in G. hansenii GK-1 was assessed using a Visual Analog Scale (VAS) before the study began and after 12 weeks of supplementation. Results: Subjective fatigue measured by Visual Analog Scale (VAS) showed a significant decrease in fatigue induced by temporary mental stress after 12 weeks of consumption in the G. hansenii GK-1 group compared with the placebo group. No adverse events were attributed to G. hansenii GK-1. These findings confirm that continuous oral ingestion of G. hansenii GK-1 by healthy Japanese adults reduces feelings of fatigue caused by temporary mental stress.
基金supported by Systematic and Conservation Studies on Cave Fishes in Guangxi(2060302)
文摘A new blind loach of the genus Triplophysa was collected in 2007 from a cave in Leyi village,located near Chuanshan Town,Huangjiang County in the Guangxi Zhuang Autonomous Region of southern China.The new species,Triplophysa huangjiangensis sp.nov,can be distinguished from its congeners by eyes and scales absent;caudalfin forked;adipose keel present;lips with furrows;distal margin of dorsal-fin truncate,dorsal fin origin much closer to caudal-fin base than snout tip;8-9 branched dorsal-fin rays;6-7 branched pelvic-fin rays;6 branched anal-fin rays;10-11 branched pectoral-fin rays;13-14 branched caudal-fin rays;pectoral-fin length 52.3%-70.7% the distance between pectoral-fin origin to pelvic-fin origin;dorsal-fin origin posterior to vertical line of pelvic-fin origin;outer rostral barbel longer than other two pairs of barbels,with 47.0%-73.8% of lateral head length;anterior nostril with elongate barbel-like tip;and posterior chamber of gas-bladder developed,reaching pelvic-fin origin.
基金With the support of the key project of Knowledge Innovation, CAS(KZCX1-y01, KZCX-SW-18), Fund of the China National Natural Sciences and the Daqing Oilfield with Grant No. 49894190
文摘In seismic data processing, blind deconvolution is a key technology. Introduced in this paper is a flow of one kind of blind deconvolution. The optimal precondition conjugate gradients (PCG) in Kyrlov subspace is also used to improve the stability of the algorithm. The computation amount is greatly decreased.
基金the National Natural Science Foundation of China (No.60673070)the Natural Science Foundation of Jiangsu Province (No.BK2006217)the Open Project of the Key Lab. on Computer Networks and Information Security (Xidian University) of Ministry of Education of China(No.20040105)
文摘Certificateless public key cryptography is a new paradigm introduced by Al-Riyami and Paterson.It eliminates the need of the certificates in traditional public key cryptosystems and the key escrow problem in IDentity-based Public Key Cryptography(ID-PKC).Due to the advantages of the certificateless public key cryptography,a new efficient certificateless pairing-based signature scheme is presented,which has some advantages over previous constructions in computational cost.Based on this new signature scheme,a certificateless blind signature scheme is proposed.The security of our schemes is proven based on the hardness of computational Diffie-Hellman problem.
基金supported by a grant from the national High Technology Research and development Program of China(863 Program)(No.2012AA01A502)National Natural Science Foundation of China(No.61179006)Science and Technology Support Program of Sichuan Province(No.2014GZX0004)
文摘To overcome the inter-carrier interference （ICI） of orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） and multipath, this paper develops a blind adaptive interference suppression scheme based on independent component analysis （ICA）. Taking into account statistical independence of subcarriers＇ signals of OFDM, the signal recovery mechanism is investigated to achieve the goal of blind equalization. The received OFDM signals can be considered as the mixed observation signals. The effect of CFO and multipath corresponds to the mixing matrix in the problem of blind source separation （BSS） framework. In this paper, the ICA- based OFDM system model is built, and the proposed ICA-based detector is exploited to extract source signals from the observation of a received mixture based on the assumption of statistical independence between the sources. The blind separation technique can increase spectral efficiency and provide robustness performance against erroneous parameter estimation problem. Theoretical analysis and simulation results show that compared with the conventional pilot-based scheme, the improved performance of OFDM systems is obtained by the proposed ICA-based detection technique.
