Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic hazards.As IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection method...Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic hazards.As IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection methods.This paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization(PSO)to address the risks associated with IoT botnets.Fuzzy logic addresses IoT threat uncertainties and ambiguities methodically.Fuzzy component settings are optimized using PSO to improve accuracy.The methodology allows for more complex thinking by transitioning from binary to continuous assessment.Instead of expert inputs,PSO data-driven tunes rules and membership functions.This study presents a complete IoT botnet risk assessment system.The methodology helps security teams allocate resources by categorizing threats as high,medium,or low severity.This study shows how CICIoT2023 can assess cyber risks.Our research has implications beyond detection,as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.展开更多
BACKGROUND The prognosis of acute mesenteric ischemia(AMI)caused by superior mesenteric venous thrombosis(SMVT)remains undetermined and early detection of transmural bowel infarction(TBI)is crucial.The predisposition ...BACKGROUND The prognosis of acute mesenteric ischemia(AMI)caused by superior mesenteric venous thrombosis(SMVT)remains undetermined and early detection of transmural bowel infarction(TBI)is crucial.The predisposition to develop TBI is of clinical concern,which can lead to fatal sepsis with hemodynamic instability and multi-organ failure.Early resection of necrotic bowel could improve the prognosis of AMI,however,accurate prediction of TBI remains a challenge for clinicians.When determining the eligibility for explorative laparotomy,the underlying risk factors for bowel infarction should be fully evaluated.AIM To develop and externally validate a nomogram for prediction of TBI in patients with acute SMVT.METHODS Consecutive data from 207 acute SMVT patients at the Wuhan Tongji Hospital and 89 patients at the Guangzhou Nanfang Hospital between July 2005 and December 2018 were included in this study.They were grouped as training and external validation cohort.The 207 cases(training cohort)from Tongji Hospital were divided into TBI and reversible intestinal ischemia groups based on the final therapeutic outcomes.Univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for TBI using the training data,and a nomogram was subsequently developed.The performance of the nomogram was evaluated with respect to discrimination,calibration,and clinical usefulness in the training and external validation cohort.RESULTS Univariate and multivariate logistic regression analyses identified the following independent prognostic factors associated with TBI in the training cohort:The decreased bowel wall enhancement(OR=6.37,P<0.001),rebound tenderness(OR=7.14,P<0.001),serum lactate levels>2 mmol/L(OR=3.14,P=0.009)and previous history of deep venous thrombosis(OR=6.37,P<0.001).Incorporating these four factors,the nomogram achieved good calibration in the training set[area under the receiver operator characteristic curve(AUC)0.860;95%CI:0.771-0.925]and the external validation set(AUC 0.851;95%CI:0.796-0.897).The positive and negative predictive values(95%CIs)of the nomogram were calculated,resulting in positive predictive values of 54.55%(40.07%-68.29%)and 53.85%(43.66%-63.72%)and negative predictive values of 93.33%(82.14%-97.71%)and 92.24%(85.91%-95.86%)for the training and validation cohorts,respectively.Based on the nomogram,patients who had a Nomo-score of more than 90 were considered to have high risk for TBI.Decision curve analysis indicated that the nomogram was clinically useful.CONCLUSION The nomogram achieved an optimal prediction of TBI in patients with AMI.Using the model,the risk for an individual patient inclined to TBI can be assessed,thus providing a rational therapeutic choice.展开更多
Stroke imposes a substantial burden worldwide.With the rapid economic and lifestyle transition in China,trends of the prevalence of stroke across different geographic regions in China remain largely unknown.Capitalizi...Stroke imposes a substantial burden worldwide.With the rapid economic and lifestyle transition in China,trends of the prevalence of stroke across different geographic regions in China remain largely unknown.Capitalizing on the data in the National Health Services Surveys(NHSS),we assessed the prevalence and risk factors of stroke in China from 2003 to 2018.In this study,data from 2003,2008,2013,and 2018 NHSS were collected.Stroke cases were based on participants’self-report of a previous diagnosis by clinicians.We estimated the trends of stroke prevalence for the overall population and subgroups by age,sex,and socioeconomic factors,then compared across different geographic regions.We applied multivariable logistic regression to assess associations between stroke and risk factors.The number of participants aged 15 years or older were 154,077,146,231,230,067,and 212,318 in 2003,2008,2013,and 2018,respectively,among whom,1435,1996,3781,and 6069 were stroke patients.The age and sex standardized prevalence per 100,000 individuals was 879 in 2003,1100 in 2008,1098 in 2013,and 1613 in 2018.Prevalence per 100,000 individuals in rural areas increased from 669 in 2003 to 1898 in 2018,while urban areas had a stable trend from 1261 in 2003 to 1365 in 2018.Across geographic regions,the central region consistently had the highest prevalence,but the western region has an alarmingly increasing trend from 623/100,000 in 2003 to 1898/100,000 in 2018(Ptrend<0.001),surpassing the eastern region in 2013.Advanced age,male sex,rural area,central region,hypertension,diabetes,depression,low education and income level,retirement or unemployment,excessive physical activity,and unimproved sanitation facilities were significantly associated with stroke.In conclusion,the increasing prevalence of stroke in China was primarily driven by economically underdeveloped regions.It is important to develop targeted prevention programs in underdeveloped regions.Besides traditional risk factors,more attention should be paid to nontraditional risk factors to improve the prevention of stroke.展开更多
文摘Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic hazards.As IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection methods.This paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization(PSO)to address the risks associated with IoT botnets.Fuzzy logic addresses IoT threat uncertainties and ambiguities methodically.Fuzzy component settings are optimized using PSO to improve accuracy.The methodology allows for more complex thinking by transitioning from binary to continuous assessment.Instead of expert inputs,PSO data-driven tunes rules and membership functions.This study presents a complete IoT botnet risk assessment system.The methodology helps security teams allocate resources by categorizing threats as high,medium,or low severity.This study shows how CICIoT2023 can assess cyber risks.Our research has implications beyond detection,as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.
基金Wuhan Tongji Hospital,No.2017A002Wuhan Science and Technology Bureau,No.2017060201010181.
文摘BACKGROUND The prognosis of acute mesenteric ischemia(AMI)caused by superior mesenteric venous thrombosis(SMVT)remains undetermined and early detection of transmural bowel infarction(TBI)is crucial.The predisposition to develop TBI is of clinical concern,which can lead to fatal sepsis with hemodynamic instability and multi-organ failure.Early resection of necrotic bowel could improve the prognosis of AMI,however,accurate prediction of TBI remains a challenge for clinicians.When determining the eligibility for explorative laparotomy,the underlying risk factors for bowel infarction should be fully evaluated.AIM To develop and externally validate a nomogram for prediction of TBI in patients with acute SMVT.METHODS Consecutive data from 207 acute SMVT patients at the Wuhan Tongji Hospital and 89 patients at the Guangzhou Nanfang Hospital between July 2005 and December 2018 were included in this study.They were grouped as training and external validation cohort.The 207 cases(training cohort)from Tongji Hospital were divided into TBI and reversible intestinal ischemia groups based on the final therapeutic outcomes.Univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for TBI using the training data,and a nomogram was subsequently developed.The performance of the nomogram was evaluated with respect to discrimination,calibration,and clinical usefulness in the training and external validation cohort.RESULTS Univariate and multivariate logistic regression analyses identified the following independent prognostic factors associated with TBI in the training cohort:The decreased bowel wall enhancement(OR=6.37,P<0.001),rebound tenderness(OR=7.14,P<0.001),serum lactate levels>2 mmol/L(OR=3.14,P=0.009)and previous history of deep venous thrombosis(OR=6.37,P<0.001).Incorporating these four factors,the nomogram achieved good calibration in the training set[area under the receiver operator characteristic curve(AUC)0.860;95%CI:0.771-0.925]and the external validation set(AUC 0.851;95%CI:0.796-0.897).The positive and negative predictive values(95%CIs)of the nomogram were calculated,resulting in positive predictive values of 54.55%(40.07%-68.29%)and 53.85%(43.66%-63.72%)and negative predictive values of 93.33%(82.14%-97.71%)and 92.24%(85.91%-95.86%)for the training and validation cohorts,respectively.Based on the nomogram,patients who had a Nomo-score of more than 90 were considered to have high risk for TBI.Decision curve analysis indicated that the nomogram was clinically useful.CONCLUSION The nomogram achieved an optimal prediction of TBI in patients with AMI.Using the model,the risk for an individual patient inclined to TBI can be assessed,thus providing a rational therapeutic choice.
文摘Stroke imposes a substantial burden worldwide.With the rapid economic and lifestyle transition in China,trends of the prevalence of stroke across different geographic regions in China remain largely unknown.Capitalizing on the data in the National Health Services Surveys(NHSS),we assessed the prevalence and risk factors of stroke in China from 2003 to 2018.In this study,data from 2003,2008,2013,and 2018 NHSS were collected.Stroke cases were based on participants’self-report of a previous diagnosis by clinicians.We estimated the trends of stroke prevalence for the overall population and subgroups by age,sex,and socioeconomic factors,then compared across different geographic regions.We applied multivariable logistic regression to assess associations between stroke and risk factors.The number of participants aged 15 years or older were 154,077,146,231,230,067,and 212,318 in 2003,2008,2013,and 2018,respectively,among whom,1435,1996,3781,and 6069 were stroke patients.The age and sex standardized prevalence per 100,000 individuals was 879 in 2003,1100 in 2008,1098 in 2013,and 1613 in 2018.Prevalence per 100,000 individuals in rural areas increased from 669 in 2003 to 1898 in 2018,while urban areas had a stable trend from 1261 in 2003 to 1365 in 2018.Across geographic regions,the central region consistently had the highest prevalence,but the western region has an alarmingly increasing trend from 623/100,000 in 2003 to 1898/100,000 in 2018(Ptrend<0.001),surpassing the eastern region in 2013.Advanced age,male sex,rural area,central region,hypertension,diabetes,depression,low education and income level,retirement or unemployment,excessive physical activity,and unimproved sanitation facilities were significantly associated with stroke.In conclusion,the increasing prevalence of stroke in China was primarily driven by economically underdeveloped regions.It is important to develop targeted prevention programs in underdeveloped regions.Besides traditional risk factors,more attention should be paid to nontraditional risk factors to improve the prevention of stroke.
