Several statistic indexes including pelt weight, pelt area, skin thickness, length of hair, fineness of hair and hair density, were adopted in the evaluation of winter pelt quality of blue frost fox and their parents....Several statistic indexes including pelt weight, pelt area, skin thickness, length of hair, fineness of hair and hair density, were adopted in the evaluation of winter pelt quality of blue frost fox and their parents.Results showed that some indexes of qualitative characters of blue frost fox were the medium between blue fox and silver fox, and some were superior to them.展开更多
Cloud computing environments,characterized by dynamic scaling,distributed architectures,and complex work-loads,are increasingly targeted by malicious actors.These threats encompass unauthorized access,data breaches,de...Cloud computing environments,characterized by dynamic scaling,distributed architectures,and complex work-loads,are increasingly targeted by malicious actors.These threats encompass unauthorized access,data breaches,denial-of-service attacks,and evolving malware variants.Traditional security solutions often struggle with the dynamic nature of cloud environments,highlighting the need for robust Adaptive Cloud Intrusion Detection Systems(CIDS).Existing adaptive CIDS solutions,while offering improved detection capabilities,often face limitations such as reliance on approximations for change point detection,hindering their precision in identifying anomalies.This can lead to missed attacks or an abundance of false alarms,impacting overall security effectiveness.To address these challenges,we propose ACIDS(Adaptive Cloud Intrusion Detection System)-PELT.This novel Adaptive CIDS framework leverages the Pruned Exact Linear Time(PELT)algorithm and a Support Vector Machine(SVM)for enhanced accuracy and efficiency.ACIDS-PELT comprises four key components:(1)Feature Selection:Utilizing a hybrid harmony search algorithm and the symmetrical uncertainty filter(HSO-SU)to identify the most relevant features that effectively differentiate between normal and anomalous network traffic in the cloud environment.(2)Surveillance:Employing the PELT algorithm to detect change points within the network traffic data,enabling the identification of anomalies and potential security threats with improved precision compared to existing approaches.(3)Training Set:Labeled network traffic data forms the training set used to train the SVM classifier to distinguish between normal and anomalous behaviour patterns.(4)Testing Set:The testing set evaluates ACIDS-PELT’s performance by measuring its accuracy,precision,and recall in detecting security threats within the cloud environment.We evaluate the performance of ACIDS-PELT using the NSL-KDD benchmark dataset.The results demonstrate that ACIDS-PELT outperforms existing cloud intrusion detection techniques in terms of accuracy,precision,and recall.This superiority stems from ACIDS-PELT’s ability to overcome limitations associated with approximation and imprecision in change point detection while offering a more accurate and precise approach to detecting security threats in dynamic cloud environments.展开更多
Objective： To evaluate the effect of intraperitoneal chemotherapy or in combination with other therapies in patients with advanced primary liver cancer. Methods： 72 patients with advanced primary liver cancer with n...Objective： To evaluate the effect of intraperitoneal chemotherapy or in combination with other therapies in patients with advanced primary liver cancer. Methods： 72 patients with advanced primary liver cancer with no indication for surgery received intraperitoneal chemotherapy in combination with other therapies including transcatheter arterial chemoembolization （TACE）, radiofrequency catheter ablation （RFA）, percutaneous ethanol injection therapy （PELT） and radiotherapy. Of them, 29 cases were complicated with hilar or retroperitoneal multiple lymph node metastases, 14 with portal vein embolus, 15 with intrapedtoneal and diaphragmatic metastases, 6 with chylous ascites, one with cancerous ascites, and 7 with suspected cancerous ascites （referring to large amounts of ascites without hypoproteinemia while exfoliative cytology of the ascites was positive）. The mean maximum tumor size was 8.2 cm in diameter. Liver function at the initial treatment was Child A in 53 cases, and Child B in 19 cases. I ntrapedtoneal chemotherapy was performed in all these patients. The intraperitoneal chemotherapy protocols included： 5-FU 0.5-0.75 g/d for 10-15 consecutive days, with a total dosage of 5-12.5 g, and at the last day of chemotherapy 10 mg mitomycin （MMC） or 100 mg carboplatin was injected. For 7 cases of cholangiocarcinoma, Gemzar 800-1000 mg was administered additionally. A majority of all these patients received another one or two therapy methods followed by intraperitoneal chemotherapy. TACE was performed in the patients with multiple tumors or nodule more than 5 cm in diameter in the liver, RFA or PElT with nodule fewer than 4 in number and 5 cm or less than 5 cm in diameter and radiotherapy, only for metastases, with metastatic lymph nodes, localized metastasis within the abdominal cavity or portal vein embolus. Interval time between two methods was one month or so. Two months after the sequential therapy, repeated treatment would be given if general medical condition and liver function were perfect at that time. Results： The median survival time of the group was 13.97 ± 6.27 months. The 1- and 2-year survival rates were 59.7% and 30.6% respectively. The mean survival time of the patients with liver function Child A was 15.91 ± 5.49 months, and that of the patients with Child B was 8.55 ± 5.09 months. The difference was statistically significant （P 〈 0.05）. Conclusion： Intraperitoneal chemotherapy or in combination with other therapies in patients with advanced primary liver cancer with metastases to abdominal cavity is an effective method. It can prolong the survival time and improve life quality for a certain percentage of patients with advanced pnmary liver cancer.展开更多
文摘Several statistic indexes including pelt weight, pelt area, skin thickness, length of hair, fineness of hair and hair density, were adopted in the evaluation of winter pelt quality of blue frost fox and their parents.Results showed that some indexes of qualitative characters of blue frost fox were the medium between blue fox and silver fox, and some were superior to them.
基金funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)through Research Partnership Program No.RP-21-07-09.
文摘Cloud computing environments,characterized by dynamic scaling,distributed architectures,and complex work-loads,are increasingly targeted by malicious actors.These threats encompass unauthorized access,data breaches,denial-of-service attacks,and evolving malware variants.Traditional security solutions often struggle with the dynamic nature of cloud environments,highlighting the need for robust Adaptive Cloud Intrusion Detection Systems(CIDS).Existing adaptive CIDS solutions,while offering improved detection capabilities,often face limitations such as reliance on approximations for change point detection,hindering their precision in identifying anomalies.This can lead to missed attacks or an abundance of false alarms,impacting overall security effectiveness.To address these challenges,we propose ACIDS(Adaptive Cloud Intrusion Detection System)-PELT.This novel Adaptive CIDS framework leverages the Pruned Exact Linear Time(PELT)algorithm and a Support Vector Machine(SVM)for enhanced accuracy and efficiency.ACIDS-PELT comprises four key components:(1)Feature Selection:Utilizing a hybrid harmony search algorithm and the symmetrical uncertainty filter(HSO-SU)to identify the most relevant features that effectively differentiate between normal and anomalous network traffic in the cloud environment.(2)Surveillance:Employing the PELT algorithm to detect change points within the network traffic data,enabling the identification of anomalies and potential security threats with improved precision compared to existing approaches.(3)Training Set:Labeled network traffic data forms the training set used to train the SVM classifier to distinguish between normal and anomalous behaviour patterns.(4)Testing Set:The testing set evaluates ACIDS-PELT’s performance by measuring its accuracy,precision,and recall in detecting security threats within the cloud environment.We evaluate the performance of ACIDS-PELT using the NSL-KDD benchmark dataset.The results demonstrate that ACIDS-PELT outperforms existing cloud intrusion detection techniques in terms of accuracy,precision,and recall.This superiority stems from ACIDS-PELT’s ability to overcome limitations associated with approximation and imprecision in change point detection while offering a more accurate and precise approach to detecting security threats in dynamic cloud environments.
文摘Objective： To evaluate the effect of intraperitoneal chemotherapy or in combination with other therapies in patients with advanced primary liver cancer. Methods： 72 patients with advanced primary liver cancer with no indication for surgery received intraperitoneal chemotherapy in combination with other therapies including transcatheter arterial chemoembolization （TACE）, radiofrequency catheter ablation （RFA）, percutaneous ethanol injection therapy （PELT） and radiotherapy. Of them, 29 cases were complicated with hilar or retroperitoneal multiple lymph node metastases, 14 with portal vein embolus, 15 with intrapedtoneal and diaphragmatic metastases, 6 with chylous ascites, one with cancerous ascites, and 7 with suspected cancerous ascites （referring to large amounts of ascites without hypoproteinemia while exfoliative cytology of the ascites was positive）. The mean maximum tumor size was 8.2 cm in diameter. Liver function at the initial treatment was Child A in 53 cases, and Child B in 19 cases. I ntrapedtoneal chemotherapy was performed in all these patients. The intraperitoneal chemotherapy protocols included： 5-FU 0.5-0.75 g/d for 10-15 consecutive days, with a total dosage of 5-12.5 g, and at the last day of chemotherapy 10 mg mitomycin （MMC） or 100 mg carboplatin was injected. For 7 cases of cholangiocarcinoma, Gemzar 800-1000 mg was administered additionally. A majority of all these patients received another one or two therapy methods followed by intraperitoneal chemotherapy. TACE was performed in the patients with multiple tumors or nodule more than 5 cm in diameter in the liver, RFA or PElT with nodule fewer than 4 in number and 5 cm or less than 5 cm in diameter and radiotherapy, only for metastases, with metastatic lymph nodes, localized metastasis within the abdominal cavity or portal vein embolus. Interval time between two methods was one month or so. Two months after the sequential therapy, repeated treatment would be given if general medical condition and liver function were perfect at that time. Results： The median survival time of the group was 13.97 ± 6.27 months. The 1- and 2-year survival rates were 59.7% and 30.6% respectively. The mean survival time of the patients with liver function Child A was 15.91 ± 5.49 months, and that of the patients with Child B was 8.55 ± 5.09 months. The difference was statistically significant （P 〈 0.05）. Conclusion： Intraperitoneal chemotherapy or in combination with other therapies in patients with advanced primary liver cancer with metastases to abdominal cavity is an effective method. It can prolong the survival time and improve life quality for a certain percentage of patients with advanced pnmary liver cancer.
