When it comes to smart healthcare business systems,network-based intrusion detection systems are crucial for protecting the system and its networks from malicious network assaults.To protect IoMT devices and networks ...When it comes to smart healthcare business systems,network-based intrusion detection systems are crucial for protecting the system and its networks from malicious network assaults.To protect IoMT devices and networks in healthcare and medical settings,our proposed model serves as a powerful tool for monitoring IoMT networks.This study presents a robust methodology for intrusion detection in Internet of Medical Things(IoMT)environments,integrating data augmentation,feature selection,and ensemble learning to effectively handle IoMT data complexity.Following rigorous preprocessing,including feature extraction,correlation removal,and Recursive Feature Elimi-nation(RFE),selected features are standardized and reshaped for deep learning models.Augmentation using the BAT algorithm enhances dataset variability.Three deep learning models,Transformer-based neural networks,self-attention Deep Convolutional Neural Networks(DCNNs),and Long Short-Term Memory(LSTM)networks,are trained to capture diverse data aspects.Their predictions form a meta-feature set for a subsequent meta-learner,which combines model strengths.Conventional classifiers validate meta-learner features for broad algorithm suitability.This comprehensive method demonstrates high accuracy and robustness in IoMT intrusion detection.Evaluations were conducted using two datasets:the publicly available WUSTL-EHMS-2020 dataset,which contains two distinct categories,and the CICIoMT2024 dataset,encompassing sixteen categories.Experimental results showcase the method’s exceptional performance,achieving optimal scores of 100%on the WUSTL-EHMS-2020 dataset and 99%on the CICIoMT2024.展开更多
The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps.Although,t...The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps.Although,there are many ways to obtain required data,the hardware necessary for the measurements such as 2D or 3D scanners,depending on the problem’s complexity,is too expensive.Therefore,in this paper,what we put forward as a novelty is an algorithm which is verified on the model of simple 3D scanner on the image processing basis with the resolution of 0.1 mm.There are many ways to scan surface profile;however,the image processing currently is the most trending topic in industry automation.Most importantly,in order to obtain surface images,standard high resolution reflex camera is used and thus the post processing could be realized with MatLab as the software environment.Therefore,this solution is an alternative to the expensive scanners,and single-purpose devices could be extended by many additional functions.展开更多
This review briefly describes the origin,chemistry,molecular mechanism of action,pharmacology,toxicology,and ecotoxicology of palytoxin and its analogues. Palytoxin and its analogues are produced by marine dinoflagell...This review briefly describes the origin,chemistry,molecular mechanism of action,pharmacology,toxicology,and ecotoxicology of palytoxin and its analogues. Palytoxin and its analogues are produced by marine dinoflagellates. Palytoxin is also produced by Zoanthids（i.e. Palythoa）,and Cyanobacteria（Trichodesmium）. Palytoxin is a very large,non-proteinaceous molecule with a complex chemical structure having both lipophilic and hydrophilic moieties. Palytoxin is one of the most potent marine toxins with an LD50 of 150 ng/kg body weight in mice exposed intravenously. Pharmacological and electrophysiological studies have demonstrated that palytoxin acts as a hemolysin and alters the function of excitable cells through multiple mechanisms of action. Palytoxin selectively binds to Na＋/K＋-ATPase with a Kd of 20 p M and transforms the pump into a channel permeable to monovalent cations with a single-channel conductance of 10 p S. This mechanism of action could have multiple effects on cells. Evaluation of palytoxin toxicity using various animal models revealed that palytoxin is an extremely potent neurotoxin following an intravenous,intraperitoneal,intramuscular,subcutaneous or intratracheal route of exposure. Palytoxin also causes non-lethal,yet serious toxic effects following dermal or ocular exposure. Most incidents of palytoxin poisoning have manifested after oral intake of contaminated seafood. Poisonings in humans have also been noted after inhalation,cutaneous/systemic exposures with direct contact of aerosolized seawater during Ostreopsis blooms and/or through maintaining aquaria containing Cnidarian zoanthids. Palytoxin has a strong potential for toxicity in humans and animals,and currently this toxin is of great concern worldwide.展开更多
Background/Objectives:Many economies are on the trajectory of alternative growth drivers other than conventional capital and labor.Access to credit facilities is a pertinent indicator of economic growth.In line with t...Background/Objectives:Many economies are on the trajectory of alternative growth drivers other than conventional capital and labor.Access to credit facilities is a pertinent indicator of economic growth.In line with the United Nations Sustainable Development Goals(UNSDGs-8)agenda,the national goal for sustainable development for most economies and Arab economies is no exception.Therefore,the current study adopts a traditional growth model by exploring the relationship between gross domestic product(GDP)per capita,credit for private sectors,ratio of exports,real GDP,and per labor force participants for selected Arab economies annually from 2001 to 2020.Research design:This study leverages the Fourier Kwiatkowski–Phillips–Schmidt–Shin(KPSS)unit root test and second-generation panel econometrics as estimation techniques,such as Westerlund and Edgerton panel cointegration test,and the use of two estimators,namely the augmented mean group(AMG)and common correlated error mean group(CCEMG),to obtain robust results.Findings:Empirical findings from Westerlund and Edgerton panel cointegration tests validate the long-run equilibrium relationship among the outlined variables.Further empirical results indicate that the share of exports is negatively significant with economic growth in countries such as Kuwait,Lebanon,Tunisia,and Jordan.Additionally,savings and labor force participation have a positive relationship with economic growth in individual countries such as Algeria and Bahrain.As per the panel,there is no significant relationship between labor force participation and economic growth.This indicates that the skilled labor force enhanced economic growth.Conclusions:These findings come with inherent far-reaching policy suggestions for economies and panels.Further details on country-specific policy actions are presented in the concluding section.展开更多
This study evaluates the impact of the"4GEON;Four continents connected through geoeducation"project on engaging local and Indigenous communities within UNE-SCO Global Geoparks(UGGps)through immersive and pla...This study evaluates the impact of the"4GEON;Four continents connected through geoeducation"project on engaging local and Indigenous communities within UNE-SCO Global Geoparks(UGGps)through immersive and playful geoeducation initiatives.It aims to assess the effects on environmental commitment,participation,perception of geological heritage,and fostering sustainable development and social responsibility among youths in selected geoparks.Qualitative research techniques,including semi-structured interviews and dynamic discussions,were employed.The systematic analysis of project documentation and align-ment with the United Nations Sustainable Development Goals(SDGs)was conducted to understand the project's broader implications.The findings underscore the crucial role of systematic knowledge transfer in enhancing geo-education within geoparks and emphasize the importance of inclusive communication,with a specific focus on the intercultural dimension of knowledge exchange.By fostering a deeper understanding and appreciation of diverse cultural perspectives,the project contributes to bridging gaps and building mutual respect among different communities.Practi-cal implications include insights for designing effective educational strategies that acknowledge and respect cultural diversity,aligning initiatives with SDGs,and leveraging Information and Communication Technology(ICT)tools to enhance engagement and learning outcomes,particu-larly for youth audiences.展开更多
This study aims to investigate the main factors driving technological innovation within firms in the manufacturing and service sectors of the Czech Republic.We apply a binary logistic regression model to cross-section...This study aims to investigate the main factors driving technological innovation within firms in the manufacturing and service sectors of the Czech Republic.We apply a binary logistic regression model to cross-sectional data from 502 firms,obtained from the World Bank Enterprise Survey.The results of our empirical investigation show that certain elements of the business environment,such as the tax rate,serve as significant obstacles to firms’product innovations.The results also confirm that international technological linkagesdmeasured by international quality certificates and foreign technology licensesdaffect technological innovations.Moreover,we found that internal R&D activities positively impact technological innovation across all sectors;contrarily,we found that process innovation in the manufacturing sector is positively influenced by foreign technology licenses and business association membership.Process innovations in the service sector are positively correlated with external R&D and financing from banking institutions.Finally,business association membership does not positively influence technological innovation in the service sector.Our findings have salient implications for firm managers,policymakers,and scholars aiming to explore and improve innovation outcomes in transitional economies.展开更多
基金supported by the Deanship of Graduate Studies and Scientific Research at Jouf University under grant No.DGSSR-2023-02-02116.
文摘When it comes to smart healthcare business systems,network-based intrusion detection systems are crucial for protecting the system and its networks from malicious network assaults.To protect IoMT devices and networks in healthcare and medical settings,our proposed model serves as a powerful tool for monitoring IoMT networks.This study presents a robust methodology for intrusion detection in Internet of Medical Things(IoMT)environments,integrating data augmentation,feature selection,and ensemble learning to effectively handle IoMT data complexity.Following rigorous preprocessing,including feature extraction,correlation removal,and Recursive Feature Elimi-nation(RFE),selected features are standardized and reshaped for deep learning models.Augmentation using the BAT algorithm enhances dataset variability.Three deep learning models,Transformer-based neural networks,self-attention Deep Convolutional Neural Networks(DCNNs),and Long Short-Term Memory(LSTM)networks,are trained to capture diverse data aspects.Their predictions form a meta-feature set for a subsequent meta-learner,which combines model strengths.Conventional classifiers validate meta-learner features for broad algorithm suitability.This comprehensive method demonstrates high accuracy and robustness in IoMT intrusion detection.Evaluations were conducted using two datasets:the publicly available WUSTL-EHMS-2020 dataset,which contains two distinct categories,and the CICIoMT2024 dataset,encompassing sixteen categories.Experimental results showcase the method’s exceptional performance,achieving optimal scores of 100%on the WUSTL-EHMS-2020 dataset and 99%on the CICIoMT2024.
基金Project(2102–2020)supported by the SPEV Project,University of Hradec Kralove,FIM,Czech RepublicProject(Vot-20H04)supported by Universiti Teknologi Malaysia(UTM)+1 种基金Project(Vot 4L876)supported by Malaysia Research University Network(MRUN)Project(Vot 5F073)supported by the Fundamental Research Grant Scheme(FRGS),Ministry of Education Malaysia。
文摘The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps.Although,there are many ways to obtain required data,the hardware necessary for the measurements such as 2D or 3D scanners,depending on the problem’s complexity,is too expensive.Therefore,in this paper,what we put forward as a novelty is an algorithm which is verified on the model of simple 3D scanner on the image processing basis with the resolution of 0.1 mm.There are many ways to scan surface profile;however,the image processing currently is the most trending topic in industry automation.Most importantly,in order to obtain surface images,standard high resolution reflex camera is used and thus the post processing could be realized with MatLab as the software environment.Therefore,this solution is an alternative to the expensive scanners,and single-purpose devices could be extended by many additional functions.
基金supported by Long Term Development Plan of University Hospital Hradec Kralove and University of Hradec Kralove,the Project of Excellence FIM UHK,as well as,Yangtze Youth Talents Fund(Yangtze University)
文摘This review briefly describes the origin,chemistry,molecular mechanism of action,pharmacology,toxicology,and ecotoxicology of palytoxin and its analogues. Palytoxin and its analogues are produced by marine dinoflagellates. Palytoxin is also produced by Zoanthids（i.e. Palythoa）,and Cyanobacteria（Trichodesmium）. Palytoxin is a very large,non-proteinaceous molecule with a complex chemical structure having both lipophilic and hydrophilic moieties. Palytoxin is one of the most potent marine toxins with an LD50 of 150 ng/kg body weight in mice exposed intravenously. Pharmacological and electrophysiological studies have demonstrated that palytoxin acts as a hemolysin and alters the function of excitable cells through multiple mechanisms of action. Palytoxin selectively binds to Na＋/K＋-ATPase with a Kd of 20 p M and transforms the pump into a channel permeable to monovalent cations with a single-channel conductance of 10 p S. This mechanism of action could have multiple effects on cells. Evaluation of palytoxin toxicity using various animal models revealed that palytoxin is an extremely potent neurotoxin following an intravenous,intraperitoneal,intramuscular,subcutaneous or intratracheal route of exposure. Palytoxin also causes non-lethal,yet serious toxic effects following dermal or ocular exposure. Most incidents of palytoxin poisoning have manifested after oral intake of contaminated seafood. Poisonings in humans have also been noted after inhalation,cutaneous/systemic exposures with direct contact of aerosolized seawater during Ostreopsis blooms and/or through maintaining aquaria containing Cnidarian zoanthids. Palytoxin has a strong potential for toxicity in humans and animals,and currently this toxin is of great concern worldwide.
文摘Background/Objectives:Many economies are on the trajectory of alternative growth drivers other than conventional capital and labor.Access to credit facilities is a pertinent indicator of economic growth.In line with the United Nations Sustainable Development Goals(UNSDGs-8)agenda,the national goal for sustainable development for most economies and Arab economies is no exception.Therefore,the current study adopts a traditional growth model by exploring the relationship between gross domestic product(GDP)per capita,credit for private sectors,ratio of exports,real GDP,and per labor force participants for selected Arab economies annually from 2001 to 2020.Research design:This study leverages the Fourier Kwiatkowski–Phillips–Schmidt–Shin(KPSS)unit root test and second-generation panel econometrics as estimation techniques,such as Westerlund and Edgerton panel cointegration test,and the use of two estimators,namely the augmented mean group(AMG)and common correlated error mean group(CCEMG),to obtain robust results.Findings:Empirical findings from Westerlund and Edgerton panel cointegration tests validate the long-run equilibrium relationship among the outlined variables.Further empirical results indicate that the share of exports is negatively significant with economic growth in countries such as Kuwait,Lebanon,Tunisia,and Jordan.Additionally,savings and labor force participation have a positive relationship with economic growth in individual countries such as Algeria and Bahrain.As per the panel,there is no significant relationship between labor force participation and economic growth.This indicates that the skilled labor force enhanced economic growth.Conclusions:These findings come with inherent far-reaching policy suggestions for economies and panels.Further details on country-specific policy actions are presented in the concluding section.
基金support of the Project“751-4GEON:Four Con-tinents Connected through Playful Geoeducation”and financial sup-port of the Specific Research Project“Information and Knowledge Management and Cognitive Science in Tourism”of FIM UHK is gratefully acknowledged.The authors wish to express their thanks to StanislavŠafránek,FIM UHK student,and David Zejda and Zuzana Kroulíková,former FIM UHK students,who assisted with the graphical elements.
文摘This study evaluates the impact of the"4GEON;Four continents connected through geoeducation"project on engaging local and Indigenous communities within UNE-SCO Global Geoparks(UGGps)through immersive and playful geoeducation initiatives.It aims to assess the effects on environmental commitment,participation,perception of geological heritage,and fostering sustainable development and social responsibility among youths in selected geoparks.Qualitative research techniques,including semi-structured interviews and dynamic discussions,were employed.The systematic analysis of project documentation and align-ment with the United Nations Sustainable Development Goals(SDGs)was conducted to understand the project's broader implications.The findings underscore the crucial role of systematic knowledge transfer in enhancing geo-education within geoparks and emphasize the importance of inclusive communication,with a specific focus on the intercultural dimension of knowledge exchange.By fostering a deeper understanding and appreciation of diverse cultural perspectives,the project contributes to bridging gaps and building mutual respect among different communities.Practi-cal implications include insights for designing effective educational strategies that acknowledge and respect cultural diversity,aligning initiatives with SDGs,and leveraging Information and Communication Technology(ICT)tools to enhance engagement and learning outcomes,particu-larly for youth audiences.
文摘This study aims to investigate the main factors driving technological innovation within firms in the manufacturing and service sectors of the Czech Republic.We apply a binary logistic regression model to cross-sectional data from 502 firms,obtained from the World Bank Enterprise Survey.The results of our empirical investigation show that certain elements of the business environment,such as the tax rate,serve as significant obstacles to firms’product innovations.The results also confirm that international technological linkagesdmeasured by international quality certificates and foreign technology licensesdaffect technological innovations.Moreover,we found that internal R&D activities positively impact technological innovation across all sectors;contrarily,we found that process innovation in the manufacturing sector is positively influenced by foreign technology licenses and business association membership.Process innovations in the service sector are positively correlated with external R&D and financing from banking institutions.Finally,business association membership does not positively influence technological innovation in the service sector.Our findings have salient implications for firm managers,policymakers,and scholars aiming to explore and improve innovation outcomes in transitional economies.
