The advent of quantum computing poses a significant challenge to traditional cryptographic protocols,particularly those used in SecureMultiparty Computation(MPC),a fundamental cryptographic primitive for privacypreser...The advent of quantum computing poses a significant challenge to traditional cryptographic protocols,particularly those used in SecureMultiparty Computation(MPC),a fundamental cryptographic primitive for privacypreserving computation.Classical MPC relies on cryptographic techniques such as homomorphic encryption,secret sharing,and oblivious transfer,which may become vulnerable in the post-quantum era due to the computational power of quantum adversaries.This study presents a review of 140 peer-reviewed articles published between 2000 and 2025 that used different databases like MDPI,IEEE Explore,Springer,and Elsevier,examining the applications,types,and security issues with the solution of Quantum computing in different fields.This review explores the impact of quantum computing on MPC security,assesses emerging quantum-resistant MPC protocols,and examines hybrid classicalquantum approaches aimed at mitigating quantum threats.We analyze the role of Quantum Key Distribution(QKD),post-quantum cryptography(PQC),and quantum homomorphic encryption in securing multiparty computations.Additionally,we discuss the challenges of scalability,computational efficiency,and practical deployment of quantumsecure MPC frameworks in real-world applications such as privacy-preserving AI,secure blockchain transactions,and confidential data analysis.This review provides insights into the future research directions and open challenges in ensuring secure,scalable,and quantum-resistant multiparty computation.展开更多
To obtain protease-and lipase-producing halotolerant/halophilic strains suitable for shrimp paste(SP)fermentation,the microbial community structure and enzyme-producing microbial species were analyzed and predicted us...To obtain protease-and lipase-producing halotolerant/halophilic strains suitable for shrimp paste(SP)fermentation,the microbial community structure and enzyme-producing microbial species were analyzed and predicted using metagenomics in 3 high-salt samples.Based on the linear salt gradient method,128 strains were screened.Eight halotolerant/halophilic strains highly producing 2 types of enzymes were identified and inoculated into lowsalt SP to assess the heterogeneity of SP.Physicochemical properties of SP indicated that Bacillus subtilis XJ-11,Virgibacillus halodenitrificans XJ-229,Piscibacillus halophilus XY-193,and Bacillus vallismortis HT-73 were more suitable for rapid fermentation of SP.Nutritional analysis showed that SP inoculated with V.halodenitrificans XJ-229 had the highest free amino acid content and SP inoculated with P.halophilus XY-193 had the highest unsaturated fatty acid content.The former had prominent umami,sweetness,and meaty aroma,weak bitterness and fishy flavor,and the closest flavor to the control(CP)based on sensory evaluation and E-nose analysis.A total of 61 volatile compounds were detected in all samples by SPME-GC-MS,of which 32,23,40,24,and 28 were detected in the CP and SP inoculated with B.subtilis XJ-11,V.halodenitrificans XJ-229,P.halophilus XY-193,and B.vallismortis HT-73,respectively,with 12,11,12,9,and 9 key flavor compounds.Among several samples,the highest levels of pyrazines,aldehydes,alcohols,and ketones were found in SP inoculated with B.subtilis XJ-11,V.halodenitrificans XJ-229,P.halophilus XY-193,and B.vallismortis HT-73,respectively.These results suggested that inoculation of different enzyme-producing halotolerant/halophilic strains resulted in differences in SP quality and main flavors.This study provides some references for process control and interpretation of heterogeneous mechanisms in low-salt SP fermented by inoculated strains.展开更多
乙型肝炎病毒(hepatitis B virus,HBV)感染是肝细胞癌(hepatocellular carcinoma,HCC)发生和发展的主要危险因素,通过反复炎症刺激,肝细胞再生,纤维化和瘢痕形成的过程,最终可能进展为HCC。抗病毒治疗通过降低HBV DNA水平,来降低HBV相关...乙型肝炎病毒(hepatitis B virus,HBV)感染是肝细胞癌(hepatocellular carcinoma,HCC)发生和发展的主要危险因素,通过反复炎症刺激,肝细胞再生,纤维化和瘢痕形成的过程,最终可能进展为HCC。抗病毒治疗通过降低HBV DNA水平,来降低HBV相关HCC的发生以及术后复发风险,改善预后。近来的许多研究发现,不同类别的核苷(酸)类药物[nucleos(t)ide analogues,NAs]对降低HBV相关HCC发生以及术后复发可能存在差异。本文就不同类别NAs对HBV相关HCC的差异性改善以及其可能的机制进行综述。展开更多
Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System A...Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System Algorithm(ACSA).The control of the circulatory system inspires it and mimics the behavior of hormonal and neural regulators involved in this process.The work initially evaluates the effectiveness of the suggested approach on 16 two-dimensional test functions,identified as classical benchmark functions.The method was subsequently examined by application to 12 CEC 2022 benchmark problems of different complexities.Furthermore,the paper evaluates ACSA in comparison to 64 metaheuristic methods that are derived from different approaches,including evolutionary,human,physics,and swarm-based.Subsequently,a sequence of statistical tests was undertaken to examine the superiority of the suggested algorithm in comparison to the 7 most widely used algorithms in the existing literature.The results show that the ACSA strategy can quickly reach the global optimum,avoid getting trapped in local optima,and effectively maintain a balance between exploration and exploitation.ACSA outperformed 42 algorithms statistically,according to post-hoc tests.It also outperformed 9 algorithms quantitatively.The study concludes that ACSA offers competitive solutions in comparison to popüler methods.展开更多
Exploiting remote sensing data is a promising approach to estimate surface solar irradiance(SSI).In this study,we propose a method to estimate global SSI using a lookup table and Landsat data.Despite the low temporal ...Exploiting remote sensing data is a promising approach to estimate surface solar irradiance(SSI).In this study,we propose a method to estimate global SSI using a lookup table and Landsat data.Despite the low temporal resolution of the data used,the developed method produces SSI maps with adequate spatial resolution.It combines physical parameters extracted from Landsat metadata files with the physical laws governing global solar irradiance,its transmission through the atmosphere,and surface reflectance.The results obtained are compared with those in the literature,particularly one study that uses Meteosat data and two others that use radiometric spectral and temporal models.Additionally,experiments are conducted at three sites in Algeria:Oran,In Amenas,and Tamenghasset.The findings indicate that the proposed approach aligns with the tested literature methods while providing SSI maps with superior spatial resolution.Furthermore,the obtained solar irradiances exhibit a root mean square error of approximately 190 W m^(−2)μm^(−1) compared with those of the Bird and Riordan spectral model,and approximately 50 W m^(−2) compared with the results from the Bird and Hulstrom temporal model,and are also comparable to the results of previous studies.展开更多
In this work,we apply tunneling formalism to analyze charged particles tunneling across a hairy black hole horizon.Such black hole solutions are essential for frameworks based on Horndeski's gravity theory.Applyin...In this work,we apply tunneling formalism to analyze charged particles tunneling across a hairy black hole horizon.Such black hole solutions are essential for frameworks based on Horndeski's gravity theory.Applying a semi-classical technique,we examine the tunneling of charged particles from a hairy black hole and derive the generic tunneling spectrum of released particles,ignoring self-gravitational and interaction.It is studied to ignore the back-reaction impact of the radiated particle on the hairy black hole.We analyze the properties of the black hole,such as temperature and entropy,under the influence of quantum gravity and also observe that the firstorder correction is present.We study tunneling radiation produced by a charged field equation in the presence of a generalized uncertainty effect.We modify the semi-classical technique by using the generalized uncertainty principle,the WKB approximation,and surface gravity.展开更多
Background:Intermediate-risk prostate cancer(IR-PC)represents a heterogeneous group requiring nuanced treatment approaches,and recent advancements in radiotherapy(RT),androgen deprivation therapy(ADT),and prostatespec...Background:Intermediate-risk prostate cancer(IR-PC)represents a heterogeneous group requiring nuanced treatment approaches,and recent advancements in radiotherapy(RT),androgen deprivation therapy(ADT),and prostatespecific membrane antigen positron emission tomography(PSMA-PET/CT)imaging have prompted growing interest in personalized,risk-adapted management strategies.This study by the Turkish Society for Radiation Oncology aims to examine radiation oncologists’practices in managing IR-PC,focusing on RT and imaging modalities to identify trends for personalized treatments.Methods:A cross-sectional survey was conducted among Turkish radiation oncologists treating at least 50 prostate cancer(PC)cases annually.The 22-item questionnaire covered IR-PC management aspects such as risk stratification,imaging preferences,androgen deprivation therapy(ADT)use and duration,RT techniques,and treatment combinations.Anonymous responses were analyzed using descriptive statistics.Results:Thirty radiation oncologists participated,57%with over 20 years of experience.The median annual number of PC cases treated was 130.For risk stratification,43% followed the National Comprehensive Cancer Network(NCCN)guidelines,while 30%used the D’Amico classification.Imaging preferences revealed 47% favored PSMA-PET/CT.External beam RT was universally preferred,with 60% adopting ultra-hypofractionation.ADT was used by 97%,with 73% recommending it for unfavorable IR-PC cases.Short-term ADT(4–6 months)was the standard,administered concurrently with RT by 57%.Cardiovascular status influenced decisions for 97% of respondents,while 37% also considered patient age,preferences,and sexual health.Conclusions:This national survey demonstrates a shift toward personalized care in intermediate-risk prostate cancer in Turkey,marked by selective PSMA-PET/CT use,tailored ADT,and evolving radiotherapy practices.The findings underscore the importance of multidisciplinary collaboration—particularly between urologists and radiation oncologists—to optimize imaging integration and treatment outcomes.展开更多
Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embed...Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embedded methods,have been widely used but often struggle with high-dimensional and heterogeneous medical imaging data.Deep learning-based FS methods,particularly Convolutional Neural Networks(CNNs)and autoencoders,have demonstrated superior performance but lack interpretability.Hybrid approaches that combine classical and deep learning techniques have emerged as a promising solution,offering improved accuracy and explainability.Furthermore,integratingmulti-modal imaging data(e.g.,MagneticResonance Imaging(MRI),ComputedTomography(CT),Positron Emission Tomography(PET),and Ultrasound(US))poses additional challenges in FS,necessitating advanced feature fusion strategies.Multi-modal feature fusion combines information fromdifferent imagingmodalities to improve diagnostic accuracy.Recently,quantum computing has gained attention as a revolutionary approach for FS,providing the potential to handle high-dimensional medical data more efficiently.This systematic literature review comprehensively examines classical,Deep Learning(DL),hybrid,and quantum-based FS techniques inmedical imaging.Key outcomes include a structured taxonomy of FS methods,a critical evaluation of their performance across modalities,and identification of core challenges such as computational burden,interpretability,and ethical considerations.Future research directions—such as explainable AI(XAI),federated learning,and quantum-enhanced FS—are also emphasized to bridge the current gaps.This review provides actionable insights for developing scalable,interpretable,and clinically applicable FS methods in the evolving landscape of medical imaging.展开更多
This century's rapid urbanization has disrupted urban governance,sustainability,and resource management.The Internet of Things(IoT)and 5G have the potential to transform smart cities through real-time data process...This century's rapid urbanization has disrupted urban governance,sustainability,and resource management.The Internet of Things(IoT)and 5G have the potential to transform smart cities through real-time data processing,enhanced connectivity,and sustainable urban design.This study investigates the potential of 5G connectivity with the IoT's hierarchical framework to enhance public service provision,mitigate environmental effects,and optimize urban resource management.The article asserts that these technologies can enhance urban operations by tackling scalability,interoperability,and security issues.The research employs case studies from Singapore and Barcelona.The document moreover analyzes AI-driven security systems,6G networks,and the contributions of IoT and 5G to the advancement of a circular economy.The essay asserts that the growth of smart cities necessitates robust policy frameworks to guarantee equitable access,data protection,and ethical considerations.This study integrates prior research with practical experiences to tackle data-informed municipal governance and urban innovation.The importance of policy in fostering inclusive and sustainable urban futures is emphasized.展开更多
BACKGROUND Traumatic spinal cord injury(SCI)is a life-altering condition that results in long-term complications,including progressive neurodegeneration and cord atrophy.It presents a significant unmet medical need wi...BACKGROUND Traumatic spinal cord injury(SCI)is a life-altering condition that results in long-term complications,including progressive neurodegeneration and cord atrophy.It presents a significant unmet medical need with extensive social and economic burdens.AIM To evaluate the safety and preliminary efficacy of allogeneic mesenchymal stem cells derived from Wharton’s jelly(WJ-MSCs)in patients with chronic complete SCI.The primary objective was to assess whether WJ-MSCs could facilitate neurological recovery and improve the quality of life in this patient population.METHODS This open-label,multicenter phase I study investigated the effects of administering WJ-MSCs via three delivery routes:Intrathecal(for localized spinal targeting);intramuscular(for targeting end organ);and intravenous(for systemic immunomodulation).While all three routes were used concurrently to enhance therapeutic synergy,neurological,sensory,and functional scales were used to assess overall efficacy.Participants with chronic SCI(duration of at least 6 months)who had significant impairment and disability were eligible for inclusion.WJ-MSCs were administered twice monthly for 2 months,with each route receiving a dose of 1×10^(6)cells/kg.Patients were closely monitored for 1 year following treatment.RESULTS At baseline,participants displayed considerable functional deficits,as indicated by the following scores:Functional independence measure of 77.5±2.26;Modified Ashworth Scale of 15.83±4.83;American Spinal Injury Association(ASIA)Motor score of 1.67±2.66;ASIA Light Touch and Pin-Prick scores of 62±18.42 each;Wexner Incontinence Score of 20;and Qualiveen Short Form,a validated questionnaire specifically designed to assess the impact of urinary dysfunction on quality of life in individuals with SCI,score of 32.Following WJ-MSC therapy,significant improvements were observed in all neurological functions over the 1-year follow-up.Notably,the ASIA Motor score improved significantly(χ^(2)=23.938,P<0.001),and Qualiveen Short Form scores demonstrated a substantial enhancement in quality of life(z=-2.214,P<0.05).CONCLUSION This phase I study,conducted without a control group,suggests that the administration of WJ-MSCs through multiple routes is both safe and potentially effective in patients with chronic complete SCI.However,the observed neurological improvements cannot be solely attributed to WJ-MSC therapy,as concurrent pharmacological and rehabilitative interventions were not controlled.These findings indicated that WJ-MSC therapy may offer a promising approach for enhancing neurological function and quality of life in this challenging patient population.Further research with larger cohorts and extended follow-up is necessary to validate these preliminary results.展开更多
为优化涂层织物的防水透湿性,将自制的水性聚氨酯(WPU)乳液以及经聚乙烯吡咯烷酮(PVP)改性后的水性聚氨酯应用于涤纶纺织品涂层整理,探讨了涂层量、焙烘温度、焙烘时间、PVP用量以及分子量等相关因素对涂层织物防水透湿性能的影响.结果...为优化涂层织物的防水透湿性,将自制的水性聚氨酯(WPU)乳液以及经聚乙烯吡咯烷酮(PVP)改性后的水性聚氨酯应用于涤纶纺织品涂层整理,探讨了涂层量、焙烘温度、焙烘时间、PVP用量以及分子量等相关因素对涂层织物防水透湿性能的影响.结果表明:PVP的加入,显著改善了涂层织物的防水透湿性,当PVP分子量为8 000,用量为10%时,涂层织物的静水压值为393 mm H2O,透湿量为2237 g/(m^2·d),较未改性涂层织物分别提高17%和8%,综合性能显著改善.展开更多
文摘The advent of quantum computing poses a significant challenge to traditional cryptographic protocols,particularly those used in SecureMultiparty Computation(MPC),a fundamental cryptographic primitive for privacypreserving computation.Classical MPC relies on cryptographic techniques such as homomorphic encryption,secret sharing,and oblivious transfer,which may become vulnerable in the post-quantum era due to the computational power of quantum adversaries.This study presents a review of 140 peer-reviewed articles published between 2000 and 2025 that used different databases like MDPI,IEEE Explore,Springer,and Elsevier,examining the applications,types,and security issues with the solution of Quantum computing in different fields.This review explores the impact of quantum computing on MPC security,assesses emerging quantum-resistant MPC protocols,and examines hybrid classicalquantum approaches aimed at mitigating quantum threats.We analyze the role of Quantum Key Distribution(QKD),post-quantum cryptography(PQC),and quantum homomorphic encryption in securing multiparty computations.Additionally,we discuss the challenges of scalability,computational efficiency,and practical deployment of quantumsecure MPC frameworks in real-world applications such as privacy-preserving AI,secure blockchain transactions,and confidential data analysis.This review provides insights into the future research directions and open challenges in ensuring secure,scalable,and quantum-resistant multiparty computation.
基金supported by the National Natural Science Foundation of China(22138004)Shaoxing Science and Technology Plan Project(2022B43001,2023B43001).
文摘To obtain protease-and lipase-producing halotolerant/halophilic strains suitable for shrimp paste(SP)fermentation,the microbial community structure and enzyme-producing microbial species were analyzed and predicted using metagenomics in 3 high-salt samples.Based on the linear salt gradient method,128 strains were screened.Eight halotolerant/halophilic strains highly producing 2 types of enzymes were identified and inoculated into lowsalt SP to assess the heterogeneity of SP.Physicochemical properties of SP indicated that Bacillus subtilis XJ-11,Virgibacillus halodenitrificans XJ-229,Piscibacillus halophilus XY-193,and Bacillus vallismortis HT-73 were more suitable for rapid fermentation of SP.Nutritional analysis showed that SP inoculated with V.halodenitrificans XJ-229 had the highest free amino acid content and SP inoculated with P.halophilus XY-193 had the highest unsaturated fatty acid content.The former had prominent umami,sweetness,and meaty aroma,weak bitterness and fishy flavor,and the closest flavor to the control(CP)based on sensory evaluation and E-nose analysis.A total of 61 volatile compounds were detected in all samples by SPME-GC-MS,of which 32,23,40,24,and 28 were detected in the CP and SP inoculated with B.subtilis XJ-11,V.halodenitrificans XJ-229,P.halophilus XY-193,and B.vallismortis HT-73,respectively,with 12,11,12,9,and 9 key flavor compounds.Among several samples,the highest levels of pyrazines,aldehydes,alcohols,and ketones were found in SP inoculated with B.subtilis XJ-11,V.halodenitrificans XJ-229,P.halophilus XY-193,and B.vallismortis HT-73,respectively.These results suggested that inoculation of different enzyme-producing halotolerant/halophilic strains resulted in differences in SP quality and main flavors.This study provides some references for process control and interpretation of heterogeneous mechanisms in low-salt SP fermented by inoculated strains.
文摘Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System Algorithm(ACSA).The control of the circulatory system inspires it and mimics the behavior of hormonal and neural regulators involved in this process.The work initially evaluates the effectiveness of the suggested approach on 16 two-dimensional test functions,identified as classical benchmark functions.The method was subsequently examined by application to 12 CEC 2022 benchmark problems of different complexities.Furthermore,the paper evaluates ACSA in comparison to 64 metaheuristic methods that are derived from different approaches,including evolutionary,human,physics,and swarm-based.Subsequently,a sequence of statistical tests was undertaken to examine the superiority of the suggested algorithm in comparison to the 7 most widely used algorithms in the existing literature.The results show that the ACSA strategy can quickly reach the global optimum,avoid getting trapped in local optima,and effectively maintain a balance between exploration and exploitation.ACSA outperformed 42 algorithms statistically,according to post-hoc tests.It also outperformed 9 algorithms quantitatively.The study concludes that ACSA offers competitive solutions in comparison to popüler methods.
基金supported by the Earth Observation Research Department,Centre des Techniques Spatiales(CTS),Algerian Space Agency(ASAL)。
文摘Exploiting remote sensing data is a promising approach to estimate surface solar irradiance(SSI).In this study,we propose a method to estimate global SSI using a lookup table and Landsat data.Despite the low temporal resolution of the data used,the developed method produces SSI maps with adequate spatial resolution.It combines physical parameters extracted from Landsat metadata files with the physical laws governing global solar irradiance,its transmission through the atmosphere,and surface reflectance.The results obtained are compared with those in the literature,particularly one study that uses Meteosat data and two others that use radiometric spectral and temporal models.Additionally,experiments are conducted at three sites in Algeria:Oran,In Amenas,and Tamenghasset.The findings indicate that the proposed approach aligns with the tested literature methods while providing SSI maps with superior spatial resolution.Furthermore,the obtained solar irradiances exhibit a root mean square error of approximately 190 W m^(−2)μm^(−1) compared with those of the Bird and Riordan spectral model,and approximately 50 W m^(−2) compared with the results from the Bird and Hulstrom temporal model,and are also comparable to the results of previous studies.
基金funded by the National Natural Science Foundation of China under Grant No.11975145。
文摘In this work,we apply tunneling formalism to analyze charged particles tunneling across a hairy black hole horizon.Such black hole solutions are essential for frameworks based on Horndeski's gravity theory.Applying a semi-classical technique,we examine the tunneling of charged particles from a hairy black hole and derive the generic tunneling spectrum of released particles,ignoring self-gravitational and interaction.It is studied to ignore the back-reaction impact of the radiated particle on the hairy black hole.We analyze the properties of the black hole,such as temperature and entropy,under the influence of quantum gravity and also observe that the firstorder correction is present.We study tunneling radiation produced by a charged field equation in the presence of a generalized uncertainty effect.We modify the semi-classical technique by using the generalized uncertainty principle,the WKB approximation,and surface gravity.
文摘Background:Intermediate-risk prostate cancer(IR-PC)represents a heterogeneous group requiring nuanced treatment approaches,and recent advancements in radiotherapy(RT),androgen deprivation therapy(ADT),and prostatespecific membrane antigen positron emission tomography(PSMA-PET/CT)imaging have prompted growing interest in personalized,risk-adapted management strategies.This study by the Turkish Society for Radiation Oncology aims to examine radiation oncologists’practices in managing IR-PC,focusing on RT and imaging modalities to identify trends for personalized treatments.Methods:A cross-sectional survey was conducted among Turkish radiation oncologists treating at least 50 prostate cancer(PC)cases annually.The 22-item questionnaire covered IR-PC management aspects such as risk stratification,imaging preferences,androgen deprivation therapy(ADT)use and duration,RT techniques,and treatment combinations.Anonymous responses were analyzed using descriptive statistics.Results:Thirty radiation oncologists participated,57%with over 20 years of experience.The median annual number of PC cases treated was 130.For risk stratification,43% followed the National Comprehensive Cancer Network(NCCN)guidelines,while 30%used the D’Amico classification.Imaging preferences revealed 47% favored PSMA-PET/CT.External beam RT was universally preferred,with 60% adopting ultra-hypofractionation.ADT was used by 97%,with 73% recommending it for unfavorable IR-PC cases.Short-term ADT(4–6 months)was the standard,administered concurrently with RT by 57%.Cardiovascular status influenced decisions for 97% of respondents,while 37% also considered patient age,preferences,and sexual health.Conclusions:This national survey demonstrates a shift toward personalized care in intermediate-risk prostate cancer in Turkey,marked by selective PSMA-PET/CT use,tailored ADT,and evolving radiotherapy practices.The findings underscore the importance of multidisciplinary collaboration—particularly between urologists and radiation oncologists—to optimize imaging integration and treatment outcomes.
文摘Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embedded methods,have been widely used but often struggle with high-dimensional and heterogeneous medical imaging data.Deep learning-based FS methods,particularly Convolutional Neural Networks(CNNs)and autoencoders,have demonstrated superior performance but lack interpretability.Hybrid approaches that combine classical and deep learning techniques have emerged as a promising solution,offering improved accuracy and explainability.Furthermore,integratingmulti-modal imaging data(e.g.,MagneticResonance Imaging(MRI),ComputedTomography(CT),Positron Emission Tomography(PET),and Ultrasound(US))poses additional challenges in FS,necessitating advanced feature fusion strategies.Multi-modal feature fusion combines information fromdifferent imagingmodalities to improve diagnostic accuracy.Recently,quantum computing has gained attention as a revolutionary approach for FS,providing the potential to handle high-dimensional medical data more efficiently.This systematic literature review comprehensively examines classical,Deep Learning(DL),hybrid,and quantum-based FS techniques inmedical imaging.Key outcomes include a structured taxonomy of FS methods,a critical evaluation of their performance across modalities,and identification of core challenges such as computational burden,interpretability,and ethical considerations.Future research directions—such as explainable AI(XAI),federated learning,and quantum-enhanced FS—are also emphasized to bridge the current gaps.This review provides actionable insights for developing scalable,interpretable,and clinically applicable FS methods in the evolving landscape of medical imaging.
文摘This century's rapid urbanization has disrupted urban governance,sustainability,and resource management.The Internet of Things(IoT)and 5G have the potential to transform smart cities through real-time data processing,enhanced connectivity,and sustainable urban design.This study investigates the potential of 5G connectivity with the IoT's hierarchical framework to enhance public service provision,mitigate environmental effects,and optimize urban resource management.The article asserts that these technologies can enhance urban operations by tackling scalability,interoperability,and security issues.The research employs case studies from Singapore and Barcelona.The document moreover analyzes AI-driven security systems,6G networks,and the contributions of IoT and 5G to the advancement of a circular economy.The essay asserts that the growth of smart cities necessitates robust policy frameworks to guarantee equitable access,data protection,and ethical considerations.This study integrates prior research with practical experiences to tackle data-informed municipal governance and urban innovation.The importance of policy in fostering inclusive and sustainable urban futures is emphasized.
文摘BACKGROUND Traumatic spinal cord injury(SCI)is a life-altering condition that results in long-term complications,including progressive neurodegeneration and cord atrophy.It presents a significant unmet medical need with extensive social and economic burdens.AIM To evaluate the safety and preliminary efficacy of allogeneic mesenchymal stem cells derived from Wharton’s jelly(WJ-MSCs)in patients with chronic complete SCI.The primary objective was to assess whether WJ-MSCs could facilitate neurological recovery and improve the quality of life in this patient population.METHODS This open-label,multicenter phase I study investigated the effects of administering WJ-MSCs via three delivery routes:Intrathecal(for localized spinal targeting);intramuscular(for targeting end organ);and intravenous(for systemic immunomodulation).While all three routes were used concurrently to enhance therapeutic synergy,neurological,sensory,and functional scales were used to assess overall efficacy.Participants with chronic SCI(duration of at least 6 months)who had significant impairment and disability were eligible for inclusion.WJ-MSCs were administered twice monthly for 2 months,with each route receiving a dose of 1×10^(6)cells/kg.Patients were closely monitored for 1 year following treatment.RESULTS At baseline,participants displayed considerable functional deficits,as indicated by the following scores:Functional independence measure of 77.5±2.26;Modified Ashworth Scale of 15.83±4.83;American Spinal Injury Association(ASIA)Motor score of 1.67±2.66;ASIA Light Touch and Pin-Prick scores of 62±18.42 each;Wexner Incontinence Score of 20;and Qualiveen Short Form,a validated questionnaire specifically designed to assess the impact of urinary dysfunction on quality of life in individuals with SCI,score of 32.Following WJ-MSC therapy,significant improvements were observed in all neurological functions over the 1-year follow-up.Notably,the ASIA Motor score improved significantly(χ^(2)=23.938,P<0.001),and Qualiveen Short Form scores demonstrated a substantial enhancement in quality of life(z=-2.214,P<0.05).CONCLUSION This phase I study,conducted without a control group,suggests that the administration of WJ-MSCs through multiple routes is both safe and potentially effective in patients with chronic complete SCI.However,the observed neurological improvements cannot be solely attributed to WJ-MSC therapy,as concurrent pharmacological and rehabilitative interventions were not controlled.These findings indicated that WJ-MSC therapy may offer a promising approach for enhancing neurological function and quality of life in this challenging patient population.Further research with larger cohorts and extended follow-up is necessary to validate these preliminary results.
文摘为优化涂层织物的防水透湿性,将自制的水性聚氨酯(WPU)乳液以及经聚乙烯吡咯烷酮(PVP)改性后的水性聚氨酯应用于涤纶纺织品涂层整理,探讨了涂层量、焙烘温度、焙烘时间、PVP用量以及分子量等相关因素对涂层织物防水透湿性能的影响.结果表明:PVP的加入,显著改善了涂层织物的防水透湿性,当PVP分子量为8 000,用量为10%时,涂层织物的静水压值为393 mm H2O,透湿量为2237 g/(m^2·d),较未改性涂层织物分别提高17%和8%,综合性能显著改善.
