●AIM:To evaluate the effect of background diseases and number of previous intravitreal aflibercept injections(IVAIs)on immediate intraocular pressure(IOP)increase and vitreous reflux(VR)rate and to evaluate the corre...●AIM:To evaluate the effect of background diseases and number of previous intravitreal aflibercept injections(IVAIs)on immediate intraocular pressure(IOP)increase and vitreous reflux(VR)rate and to evaluate the correlation of both age and axial length with immediate IOP increase and VR rate.●METHODS:This study included 105 patients with cystoid macular edema secondary to retinal vein occlusion,35 patients with diabetic macular edema,69 patients with neovascular age-related macular degeneration(nAMD),and 12 patients with myopic choroidal neovascularization,which underwent first-time IVAI.The correlation of immediate IOP increase and VR rates with the four background diseases was investigated.Moreover,the correlation of age with immediate IOP increase and VR rate as well as correlation of axial length with immediate IOP increase and VR rate were evaluated.Further,54 patients with nAMD were treated with IVAI>10 times(multiple IVAIs).Moreover,the correlation of immediate IOP increase and VR rates with first-time and multiple IVAIs in nAMD was determined.●RESULTS:The immediate IOP increase(P=0.16)and VR rates(P=0.50)were almost similar among the four background diseases.The immediate postinjection IOP and age,VR rate and age,immediate postinjection IOP and axial length,or VR rate and axial length were not correlated in the four background diseases.The immediate IOP increase(P=0.66)and VR rates(P=0.28)did not significantly differ between first-time and multiple IVAIs in nAMD.●CONCLUSION:Background diseases and number of previous IVAIs have no effect on immediate IOP increase and VR rate.Further,age and axial length have no correlation on immediate IOP increase and VR rate.展开更多
目的采用基于T1WI的病灶映射方法刻画新生儿局灶性脑白质损伤(punctate white matter lesions,PWML)的好发区域并探究其时空分布规律。材料与方法回顾性纳入PWML新生儿94例,其中轻度损伤60例(早产/足月:24/36),重度损伤34例(早产/足月:2...目的采用基于T1WI的病灶映射方法刻画新生儿局灶性脑白质损伤(punctate white matter lesions,PWML)的好发区域并探究其时空分布规律。材料与方法回顾性纳入PWML新生儿94例,其中轻度损伤60例(早产/足月:24/36),重度损伤34例(早产/足月:20/14)。基于T1WI手动标记病灶,与约翰霍普金斯大学新生儿T1WI模板配准后叠加图谱,最终生成PWML概率映射图并计算病灶在不同区域的分布概率。对轻重度PWML组间以及不同分组内早产与足月儿各脑叶病灶体积进行比较。结果轻度PWML的分布均以颞顶叶为主(病灶体积于颞顶叶>额叶>枕叶,P<0.008),尤其是丘脑后辐射、角回及缘上回;早产儿损伤范围较足月儿增加,且向额叶延伸。重度PWML主要分布于额颞顶叶(病灶体积于额颞顶叶>枕叶,P<0.008),早产与足月损伤分布范围较为一致,共同累及的区域包括丘脑后辐射、角回及上放射冠。结论基于T1WI的病灶概率映射于脑区水平细化了不同程度PWML病灶的时空分布特征,为深入理解PWML的病理生理机制及预后评估提供了解剖基础。展开更多
E-commerce,online ticketing,online banking,and other web-based applications that handle sensitive data,such as passwords,payment information,and financial information,are widely used.Various web developers may have va...E-commerce,online ticketing,online banking,and other web-based applications that handle sensitive data,such as passwords,payment information,and financial information,are widely used.Various web developers may have varying levels of understanding when it comes to securing an online application.Structured Query language SQL injection and cross-site scripting are the two vulnerabilities defined by the OpenWeb Application Security Project(OWASP)for its 2017 Top Ten List Cross Site Scripting(XSS).An attacker can exploit these two flaws and launch malicious web-based actions as a result of these flaws.Many published articles focused on these attacks’binary classification.This article described a novel deep-learning approach for detecting SQL injection and XSS attacks.The datasets for SQL injection and XSS payloads are combined into a single dataset.The dataset is labeledmanually into three labels,each representing a kind of attack.This work implements some pre-processing algorithms,including Porter stemming,one-hot encoding,and the word-embedding method to convert a word’s text into a vector.Our model used bidirectional long short-term memory(BiLSTM)to extract features automatically,train,and test the payload dataset.The payloads were classified into three types by BiLSTM:XSS,SQL injection attacks,and normal.The outcomes demonstrated excellent performance in classifying payloads into XSS attacks,injection attacks,and non-malicious payloads.BiLSTM’s high performance was demonstrated by its accuracy of 99.26%.展开更多
文摘●AIM:To evaluate the effect of background diseases and number of previous intravitreal aflibercept injections(IVAIs)on immediate intraocular pressure(IOP)increase and vitreous reflux(VR)rate and to evaluate the correlation of both age and axial length with immediate IOP increase and VR rate.●METHODS:This study included 105 patients with cystoid macular edema secondary to retinal vein occlusion,35 patients with diabetic macular edema,69 patients with neovascular age-related macular degeneration(nAMD),and 12 patients with myopic choroidal neovascularization,which underwent first-time IVAI.The correlation of immediate IOP increase and VR rates with the four background diseases was investigated.Moreover,the correlation of age with immediate IOP increase and VR rate as well as correlation of axial length with immediate IOP increase and VR rate were evaluated.Further,54 patients with nAMD were treated with IVAI>10 times(multiple IVAIs).Moreover,the correlation of immediate IOP increase and VR rates with first-time and multiple IVAIs in nAMD was determined.●RESULTS:The immediate IOP increase(P=0.16)and VR rates(P=0.50)were almost similar among the four background diseases.The immediate postinjection IOP and age,VR rate and age,immediate postinjection IOP and axial length,or VR rate and axial length were not correlated in the four background diseases.The immediate IOP increase(P=0.66)and VR rates(P=0.28)did not significantly differ between first-time and multiple IVAIs in nAMD.●CONCLUSION:Background diseases and number of previous IVAIs have no effect on immediate IOP increase and VR rate.Further,age and axial length have no correlation on immediate IOP increase and VR rate.
文摘目的采用基于T1WI的病灶映射方法刻画新生儿局灶性脑白质损伤(punctate white matter lesions,PWML)的好发区域并探究其时空分布规律。材料与方法回顾性纳入PWML新生儿94例,其中轻度损伤60例(早产/足月:24/36),重度损伤34例(早产/足月:20/14)。基于T1WI手动标记病灶,与约翰霍普金斯大学新生儿T1WI模板配准后叠加图谱,最终生成PWML概率映射图并计算病灶在不同区域的分布概率。对轻重度PWML组间以及不同分组内早产与足月儿各脑叶病灶体积进行比较。结果轻度PWML的分布均以颞顶叶为主(病灶体积于颞顶叶>额叶>枕叶,P<0.008),尤其是丘脑后辐射、角回及缘上回;早产儿损伤范围较足月儿增加,且向额叶延伸。重度PWML主要分布于额颞顶叶(病灶体积于额颞顶叶>枕叶,P<0.008),早产与足月损伤分布范围较为一致,共同累及的区域包括丘脑后辐射、角回及上放射冠。结论基于T1WI的病灶概率映射于脑区水平细化了不同程度PWML病灶的时空分布特征,为深入理解PWML的病理生理机制及预后评估提供了解剖基础。
基金funded byResearchers Supporting Project Number(RSP2023R476)King Saud University,Riyadh,Saudi Arabia。
文摘E-commerce,online ticketing,online banking,and other web-based applications that handle sensitive data,such as passwords,payment information,and financial information,are widely used.Various web developers may have varying levels of understanding when it comes to securing an online application.Structured Query language SQL injection and cross-site scripting are the two vulnerabilities defined by the OpenWeb Application Security Project(OWASP)for its 2017 Top Ten List Cross Site Scripting(XSS).An attacker can exploit these two flaws and launch malicious web-based actions as a result of these flaws.Many published articles focused on these attacks’binary classification.This article described a novel deep-learning approach for detecting SQL injection and XSS attacks.The datasets for SQL injection and XSS payloads are combined into a single dataset.The dataset is labeledmanually into three labels,each representing a kind of attack.This work implements some pre-processing algorithms,including Porter stemming,one-hot encoding,and the word-embedding method to convert a word’s text into a vector.Our model used bidirectional long short-term memory(BiLSTM)to extract features automatically,train,and test the payload dataset.The payloads were classified into three types by BiLSTM:XSS,SQL injection attacks,and normal.The outcomes demonstrated excellent performance in classifying payloads into XSS attacks,injection attacks,and non-malicious payloads.BiLSTM’s high performance was demonstrated by its accuracy of 99.26%.
