In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to...In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.展开更多
B淋巴细胞瘤-2基因相关启动子(Bcl-X_L/Bcl-2 associated death promoter,Bad)是麝鼠(Ondatra zibethicus)香腺miRNA测序筛选出的显著差异miRNA靶基因之一。为了解麝鼠Bad基因的基因结构和生物学功能,探讨其在麝鼠香腺发育和泌香中的作...B淋巴细胞瘤-2基因相关启动子(Bcl-X_L/Bcl-2 associated death promoter,Bad)是麝鼠(Ondatra zibethicus)香腺miRNA测序筛选出的显著差异miRNA靶基因之一。为了解麝鼠Bad基因的基因结构和生物学功能,探讨其在麝鼠香腺发育和泌香中的作用,通过比对麝鼠的全基因组获得麝鼠Bad基因的CDS区序列,并利用多种在线预测软件进行生物信息学分析。结果表明:麝鼠Bad基因的CDS区全长为615 bp,编码204个氨基酸;编码的蛋白相对分子质量为22087.40,等电点为9.63,不稳定系数为72.03,平均亲水系数为-0.885,是不稳定的亲水蛋白;无跨膜结构,无信号肽,有26个潜在的磷酸化结合位点。亚细胞定位结果显示,该蛋白主要定位于线粒体。二级结构主要由α-螺旋(32.84%)、无规则卷曲(56.86%)、β-转角(4.90%)和延伸链(5.39%)构成。构建系统发育进化树结果显示,麝鼠与仓鼠科(Cricetidae)亲缘关系最近,说明Bad基因在进化过程中相对保守。蛋白质互作预测结果显示,Bad蛋白与Bcl-2、Akt、Ywhaq、Ywhaz和Ywhab等蛋白相互作用,提示Bad蛋白与这些蛋白间的相互作用可能促进麝鼠香腺萎缩;与Mapk8等互作提示在香腺发育时具有抑制凋亡的作用。研究结果为进一步探究麝鼠Bad基因在香腺周期性发育中的功能提供参考。展开更多
BACKGROUND The central link between septic shock and acute skin failure(ASF)is the inflammatory response,which occurs throughout disease progression and can lead to systemic inflammatory response syndrome.Patients oft...BACKGROUND The central link between septic shock and acute skin failure(ASF)is the inflammatory response,which occurs throughout disease progression and can lead to systemic inflammatory response syndrome.Patients often experience bad moods,sleep disorders,and other health issues.Despite recognizing these factors,no studies have examined the correlation between inflammatory factors,lactic acid levels,ASF,mood disturbances,and sleep quality in critically ill patients.We hypothesize that higher levels of inflammatory factors and lactic acid are associated with more severe ASF and poorer mood and sleep quality,which may inform clinical treatment for septic shock and ASF.AIM To explore the relationship between inflammatory factors,lactic acid levels,the severity of ASF,bad mood,and sleep quality.METHODS The retrospective study included 150 patients with septic shock from the Second Hospital of Dalian Medical University,categorized into ASF(n=35)or non-ASF groups(n=115).We compared the peripheral blood inflammatory factors,including tumor necrosis factor-α(TNF-α),C-reactive protein(CRP),interleukin-6(IL-6),lactic acid levels,skin mottling score(SMS),modified early warning score(MEWS),self-rating depression scale(SDS),self-rating anxiety scale(SAS),and Pittsburgh sleep quality index(PSQI)scores.Pearson correlation analysis assessed relationships among these variables.RESULTS The ASF group had significantly higher levels of CRP(19.60±4.10 vs 15.30±2.96 mg/mL),IL-6(298.65±48.65 vs 268.66±33.66 pg/L),procalcitonin,lactic acid(8.42±2.32 vs 5.70±1.27 mmol/L),SMS[0(0,1)vs 3(2,3)],MEWS(9.34±1.92 vs 6.48±1.96),SAS(61.63±12.03 vs 53.71±12.48),SDS(60.17±12.64 vs 52.27±12.64),and PSQI scores(14.23±3.94 vs 8.69±2.46)compared with the non-ASF group(all P<0.001).Pearson correlation analysis revealed that IL-6,CRP,TNF-α,and lactic acid were positively correlated with SMS,MEWS,SAS,SDS,and PSQI scores(P<0.05).CONCLUSION Peripheral blood levels of IL-6,CRP,TNF-α,and lactic acid correlate positively with SMS,MEWS,SAS,SDS,and PSQI in critically ill patients with ASF.展开更多
基金supported by Institute of Information and Communications Technology Planning and Evaluation(IITP)grant funded by the Korean government(MSIT)(No.2019-0-01842,Artificial Intelligence Graduate School Program(GIST))supported by Korea Planning&Evaluation Institute of Industrial Technology(KEIT)grant funded by the Ministry of Trade,Industry&Energy(MOTIE,Republic of Korea)(RS-2025-25448249+1 种基金Automotive Industry Technology Development(R&D)Program)supported by the Regional Innovation System&Education(RISE)programthrough the(Gwangju RISE Center),funded by the Ministry of Education(MOE)and the Gwangju Metropolitan City,Republic of Korea(2025-RISE-05-001).
文摘In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.
文摘BACKGROUND The central link between septic shock and acute skin failure(ASF)is the inflammatory response,which occurs throughout disease progression and can lead to systemic inflammatory response syndrome.Patients often experience bad moods,sleep disorders,and other health issues.Despite recognizing these factors,no studies have examined the correlation between inflammatory factors,lactic acid levels,ASF,mood disturbances,and sleep quality in critically ill patients.We hypothesize that higher levels of inflammatory factors and lactic acid are associated with more severe ASF and poorer mood and sleep quality,which may inform clinical treatment for septic shock and ASF.AIM To explore the relationship between inflammatory factors,lactic acid levels,the severity of ASF,bad mood,and sleep quality.METHODS The retrospective study included 150 patients with septic shock from the Second Hospital of Dalian Medical University,categorized into ASF(n=35)or non-ASF groups(n=115).We compared the peripheral blood inflammatory factors,including tumor necrosis factor-α(TNF-α),C-reactive protein(CRP),interleukin-6(IL-6),lactic acid levels,skin mottling score(SMS),modified early warning score(MEWS),self-rating depression scale(SDS),self-rating anxiety scale(SAS),and Pittsburgh sleep quality index(PSQI)scores.Pearson correlation analysis assessed relationships among these variables.RESULTS The ASF group had significantly higher levels of CRP(19.60±4.10 vs 15.30±2.96 mg/mL),IL-6(298.65±48.65 vs 268.66±33.66 pg/L),procalcitonin,lactic acid(8.42±2.32 vs 5.70±1.27 mmol/L),SMS[0(0,1)vs 3(2,3)],MEWS(9.34±1.92 vs 6.48±1.96),SAS(61.63±12.03 vs 53.71±12.48),SDS(60.17±12.64 vs 52.27±12.64),and PSQI scores(14.23±3.94 vs 8.69±2.46)compared with the non-ASF group(all P<0.001).Pearson correlation analysis revealed that IL-6,CRP,TNF-α,and lactic acid were positively correlated with SMS,MEWS,SAS,SDS,and PSQI scores(P<0.05).CONCLUSION Peripheral blood levels of IL-6,CRP,TNF-α,and lactic acid correlate positively with SMS,MEWS,SAS,SDS,and PSQI in critically ill patients with ASF.
