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Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach

Oncology Research 2024年第2期32卷 409-419页

作者： KEGANG JIA yawei wang QI CAO YOUYU wang Department of Thoracic Surgery Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduChina School of Medicine University of Electronic Science and Technology of ChinaChengduChina Department of Assisted Reproductive Medicine Sichuan Provincial Academy of Medical Sciences&Sichuan Provincial People’s HospitalChengduChina

Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death *** failure in lung cancer(LUAD)is heavily influenced by drug *** challenge stems from the diverse cell populations within the tumor,each having unique genetic,epigenetic,and phenotypic *** variations lead to varied therapeutic responses,thereby contributing to tumor relapse and disease ***:The Genomics of Drug Sensitivity in Cancer(GDSC)database was used in this investigation to obtain the mRNA expression dataset,genomic mutation profile,and drug sensitivity information of *** Learning(ML)methods,including Random Forest(RF),Artificial Neurol Network(ANN),and Support Vector Machine(SVM),were used to predict the response status of each compound based on the mRNA and mutation characteristics determined using statistical *** most suitable method for each drug was proposed by comparing the prediction accuracy of different ML methods,and the selected mRNA and mutation characteristics were identified as molecular features for the drug-responsive cancer ***,the prognostic influence of molecular features on the mutational subtype of LUAD in publicly available ***:Our analyses yielded 1,564 gene features and 45 mutational features for 46 *** the ML approach to predict the drug response for each medication revealed an upstanding performance for SVM in predicting Afuresertib drug response(area under the curve[AUC]0.875)using CIT,GAS2L3,STAG3L3,ATP2B4-mut,and IL15RA-mut as molecular ***,the ANN algorithm using 9 mRNA characteristics demonstrated the highest prediction performance(AUC 0.780)in Gefitinib with ***:This work extensively investigated the mRNA and mutation signatures associated with drug response in LUAD using a machine-learning approach and proposed a priority algorithm to predict drug response for different drugs.

关键词： Lung adenocarcinoma Drug resistance Machine learning Molecular features Personalized treatment

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Audio-visual keyword transformer for unconstrained sentence-level keyword spotting

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 142-152页

作者： Yidi Li Jiale Ren yawei wang Guoquan wang Xia Li Hong Liu Key Laboratory of Machine Perception Peking UniversityShenzhen Graduate SchoolShenzhenChina College of Electronics and Information Engineering Sichuan UniversityChengduChina Department of Computer Science ETH ZurichZurichSwitzerland

As one of the most effective methods to improve the accuracy and robustness of speech tasks,the audio-visual fusion approach has recently been introduced into the field of Keyword Spotting(KWS).However,existing audio-visual keyword spotting models are limited to detecting isolated words,while keyword spotting for unconstrained speech is still a challenging *** this end,an Audio-Visual Keyword Transformer(AVKT)network is proposed to spot keywords in unconstrained video *** authors present a transformer classifier with learnable CLS tokens to extract distinctive keyword features from the variable-length audio and visual *** outputs of audio and visual branches are combined in a decision fusion *** humans can easily notice whether a keyword appears in a sentence or not,our AVKT network can detect whether a video clip with a spoken sentence contains a pre-specified ***,the position of the keyword is localised in the attention map without additional position ***-imental results on the LRS2-KWS dataset and our newly collected PKU-KWS dataset show that the accuracy of AVKT exceeded 99%in clean scenes and 85%in extremely noisy *** code is available at https://***/jialeren/AVKT.

关键词： artificial intelligence multimodal approaches natural language processing neural network speech processing

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Migration mechanism and risk assessment of perand polyfluoroalkyl substances in the Ya'Er Lake oxidation pond area,China

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Journal of Environmental Sciences 2024年第2期136卷 301-312页

作者： Chang Li Huifang Zhong Jing Wu Lingyi Meng Yingjun wang Chunyang Liao yawei wang Yujian He University of Chinese Academy of Sciences Beijing 100049China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China China National Environmental Monitoring Centre Beijing 100012China Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances Institute of Environment and HealthJianghan UniversityWuhan 430056China

The migration mechanisms,sources,and environmental risks of 29 legacy and emerging perfluorinated and polyfluoroalkyl species present in an oxidation pond(Ya'Er Lake)were investigated for treating sewage based on the analysis of their occurrence and *** concentration of per-and polyfluoroalkyl substances(PFAS)in pond area was between0.30 and 63.2 ng/g dw(dry weight),with the overall average concentration of 8.00 ng/g ***,the PFAS concentrations in the surface sediments near the sewage outlet in Pond-1(50.2 ng/g dw)and Pond-5(average 15.1 ng/g dw)were 1–2 orders of magnitude higher than those in other *** general,the legacy PFAS,i.e.,perfluorooctane sulfonic acid was considered to be the major pollutant in the polluted area,on average,accounting for 73.0%of the total concentration of PFAS *** evaluating the regional distribution of different PFAS homologs,the short-chain PFAS pollutants with lower K_(ow)were found to migrate farther in both horizontal and vertical *** sewage outlets in Pond-1 and Pond-5are the main pollution sources in polluted area and the emerging PFAS pollutants in Pond-5have replaced the legacy PFAS pollutants as the main *** on positive matrix factorization analysis,three main industrial sources of PFAS pollutants in the study area were identified:protective coating,fire-fighting,and food packaging ***,the environmental risk assessment results showed that most study areas exhibited medium environmental risk(0.01≤Risk quotient(RQ)<1),indicating that the ecological environment risks in this area need further attention.

关键词： Perfluoroalkyl substances Distribution Migration mechanism Risk assessment

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High-performance ultrathin Ag electrodes by chemical bond anchoring Ag atoms for stretchable organic light-emitting devices

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Nano Research 2024年第8期17卷 7614-7620页

作者： Yue Qin yawei wang Xinxin wang Yaqi Zhang Jiahao Xu Kanchi Dong Yuehua Chen Wenyong Lai Xinwen Zhang State Key Laboratory of Organic Electronics and Information Displays and Institute of Advanced Materials(IAM) Nanjing University of Posts and TelecommunicationsNanjing 210023China

The progress of stretchable organic light-emitting devices(OLEDs)has brought about new possibilities for highly functional wearable ***,the efficiency and durability of stretchable OLEDs have been limited by the performance of stretchable transparent ***,we proposed an interface engineering strategy that involves anchoring the growth of silver(Ag)atoms with amine-enriched biomaterials for high-quality stretchable transparent *** strong interactions between the Ag atom and the amine group enable the uniform Ag electrodes at an ultralow thickness of 7 nm,and provide remarkable mechanical flexibility and strain endurance to the Ag *** distinct effects of different amino acids were investigated,and a deep understanding of their unique contributions to the film formation process was *** resulting ultrathin Ag electrodes exhibit outstanding optoelectrical properties(transmittance of~98%and sheet resistance of~8.7Ω/sq)and excellent stretchability during 500 stretching cycles at 100%*** green phosphorescent OLEDs based on the Ag electrodes have been demonstrated with a current efficiency of up to~70.4 cd/***,the devices show excellent stretching stability,retaining~89%of the original luminance and~78%of the original current efficiency after 200 stretching cycles at 100%*** work opens up new possibilities for stretchable transparent electrodes,fostering advancements in wearable displays and other innovative flexible devices.

关键词： transparent flexible electrodes ultrathin metal film interface mechanical stability

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Facet-dependent transformation and toxicity of nanoscale zinc oxide in the synthetic saliva

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Journal of Environmental Sciences 2024年第5期139卷 170-181页

作者： Xiang Zhang Yunpeng Huang Jikun wang Jie Tang YangMei Nali Zhu Zhigang Li Lingxiangyu Li yaweiwang School of Environment Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Department of Chemistry University of PennsylvaniaPhiladelphia 19104USA

The nanoscale zinc oxide(n-ZnO)was used in food packages due to its superior antibac terial activity,resulting in potential intake of n-ZnO through the digestive system,wherein n-ZnO interacted with *** recent,facet engineering,a technique for controlling the exposed facets,was applied to n-ZnO,whereas risk of n-ZnO with specific exposed facets in saliva was *** nanoflakes(ZnO-0001)and nanoneedles(ZnO-1010)with the pri mary exposed facets of{0001}and{1010}respectively were prepared in this study,investigat ing stability and toxicity of ZnO-0001 and ZnO-1010 in synthetic *** ZnO-0001 and ZnO-1010 partially transformed into amorphous Zn_(3)(PO_(4))_(2)within 1 hr in the saliva even containing orgnaic components,forming a ZnO-Zn_(3)(PO_(4))_(2)core-shell *** less,ZnO-1010 relative to ZnO-0001 would likely transform into Zn_(3)(PO_(4))_(2),being attributed to superior dissolution of{1010}facet due to its lower vacancy formation energy(1.15 eV than{0001}facet(3.90 eV)).The toxicity of n-ZnO to Caco-2 cells was also dependent on the primary exposed facet;ZnO-0001 caused cell toxicity through oxidative stress,whereas ZnO-1010 resulted in lower cells viability than ZnO-0001 through oxidative stress and mem brane *** functional theory calculations illustrated that·O_(2)^(-)was formed and released on{1010}facet,yet O_(2)^(2-)instead of·O_(2)^(-)was generated on{0001}facet,leading to low oxidative stress from *** findings demonstrated that stability and toxicity of n-ZnO were dependent on the primary exposed facet,improving our understanding o health risk of nanomaterials.

关键词： The exposed facet Nanoscale ZnO Chemical transformation Synthetic salica Nanotoxicity

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“锰疗法”重塑血脂健康

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科学通报 2024年第11期69卷 1390-1392页

作者：罗飞王雅伟王潇陈晓伟中南大学湘雅二医院心血管内科长沙410011 中南大学血脂与动脉粥样硬化研究所长沙410011 北京大学膜生物学国家重点实验室北京100871 北京大学北大-清华生命科学联合中心北京100871 北京大学未来技术学院北京100871

动脉粥样硬化性心血管疾病(arteriosclerotic cardiovascular disease,ASCVD)是当今全球范围内的头号健康威胁,包括冠心病、心肌梗死和中风等多种疾病,其危害极为严重[1].ASCVD的发病机制涉及动脉内脂质物质的异常沉积和炎症反应,导致... 详细信息

动脉粥样硬化性心血管疾病(arteriosclerotic cardiovascular disease,ASCVD)是当今全球范围内的头号健康威胁,包括冠心病、心肌梗死和中风等多种疾病,其危害极为严重[1].ASCVD的发病机制涉及动脉内脂质物质的异常沉积和炎症反应,导致斑块形成,最终引发血管狭窄、血栓形成乃至栓塞等并发症.在ASCVD的发展过程中,血脂异常起着举足轻重的作用[2,3].

关键词：动脉粥样硬化性心血管疾病血栓形成斑块形成动脉内血管狭窄炎症反应血脂异常心肌梗死

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基于CEEMDAN-GSA-LSTM和SVR的光伏功率短期区间预测

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上海交通大学学报 2024年第6期58卷 806-818页

作者：李芬孙凌王亚维屈爱芳梅念赵晋斌上海电力大学电气工程学院上海200090 中国船舶集团有限公司第七二二研究所低频电磁通信技术实验室武汉430205 上海师范大学数理学院上海200234 国网经济技术研究院有限公司北京102209

针对光伏输出功率存在间歇性和波动性的问题,提出一种光伏功率短期区间预测模型.首先,该模型采用自适应噪声完备集合经验模态分解将历史光伏出力数据分解为不同的分量并按照其与赤纬角、时角等时序特征量的相关性定义为时序分量和随机分... 详细信息

针对光伏输出功率存在间歇性和波动性的问题,提出一种光伏功率短期区间预测模型.首先,该模型采用自适应噪声完备集合经验模态分解将历史光伏出力数据分解为不同的分量并按照其与赤纬角、时角等时序特征量的相关性定义为时序分量和随机分量.其次,分别使用经过引力搜索算法优化的长短期记忆神经网络和支持向量回归模型对时序分量和随机分量进行预测.再次,叠加时序分量和随机分量的预测结果得到点预测结果.然后,对误差进行Johnson变换及正态分布建模后得到光伏功率区间预测结果.最后,利用算例验证该模型的有效性.结果表明:在不同天气情况下,上述模型比现有预测模型精度更高,具有较好的鲁棒性,能够基于预测值提供较为精准的置信区间.

关键词：光伏功率预测区间预测自适应噪声完备集合经验模态分解引力搜索算法长短期记忆支持向量回归 Johnson变换

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第三代半导体材料氮化镓的拉曼光谱分析

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无线互联科技 2024年第3期21卷 72-74页

作者：王亚伟中国电子科技集团公司第十三研究所河北石家庄050051

第三代半导体材料中氮化镓是高频电子器件、大功率电子器件和微波功率器件制造领域的首选材料。为了实现高质量氮化镓材料的外延生长,并且精准表征氮化镓外延材料的特性,文章对氮化镓外延材料进行了深入的拉曼光谱分析。实验结果表明,... 详细信息

第三代半导体材料中氮化镓是高频电子器件、大功率电子器件和微波功率器件制造领域的首选材料。为了实现高质量氮化镓材料的外延生长,并且精准表征氮化镓外延材料的特性,文章对氮化镓外延材料进行了深入的拉曼光谱分析。实验结果表明,对氮化镓外延材料进行拉曼光谱分析时最佳扫描范围是100~1000 cm^(-1)、最佳曝光时间是5 s、最佳光孔直径为100μm,从而更精准地表征氮化镓外延材料,进而对微波功率器件的性能提升起到推动作用。

关键词：第三代半导体材料氮化镓拉曼光谱

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基于宽禁带半导体材料氮化镓的原子力显微镜分析

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无线互联科技 2024年第4期21卷 40-42页

作者：王亚伟中国电子科技集团公司第十三研究所河北石家庄050051

微波功率器件在无线通信技术领域扮演着重要角色,而宽禁带半导体材料对微波功率器件的研究起着关键作用。氮化镓作为宽禁带半导体的代表,具有介电常数小、载流子饱和速率高、热导率高等优良特性。文章通过对氮化镓外延材料进行深入的原... 详细信息

微波功率器件在无线通信技术领域扮演着重要角色,而宽禁带半导体材料对微波功率器件的研究起着关键作用。氮化镓作为宽禁带半导体的代表,具有介电常数小、载流子饱和速率高、热导率高等优良特性。文章通过对氮化镓外延材料进行深入的原子力显微镜(Atomic Force Microscope,AFM)分析,能够更精准地表征氮化镓外延材料,从而助力微波功率器件的发展。

关键词：氮化镓原子力显微镜表面形貌

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木丹颗粒治疗糖尿病周围神经病变的临床疗效观察

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智慧健康 2024年第1期10卷 110-113页

作者：王亚伟江苏省连云港市赣榆区中医院老年病内分泌科江苏连云港222100

目的分析木丹颗粒对糖尿病周围神经病变(DPN)患者的临床疗效。方法选择2020年5月—2023年4月在本院治疗的DPN患者50例为研究对象,并按随机分组法分成对照组和试验组,每组25例。其中,对照组采用甲钴胺治疗,试验组在对照组的基础上增加木... 详细信息

目的分析木丹颗粒对糖尿病周围神经病变(DPN)患者的临床疗效。方法选择2020年5月—2023年4月在本院治疗的DPN患者50例为研究对象,并按随机分组法分成对照组和试验组,每组25例。其中,对照组采用甲钴胺治疗,试验组在对照组的基础上增加木丹颗粒治疗,两组治疗周期相同,对比相关临床指标。结果试验组的总有效率高于对照组,对比差异有统计学意义(P0.05);治疗后,试验组的SF-36评分高于对照组,甘油三酯水平低于对照组,右正中神经、腓总神经的感觉和运动传导速度高于对照组,对比差异有统计学意义(P<0.05)。试验组的肢端感觉异常、麻木、疼痛消失时间均短于对照组,对比差异有统计学意义(P<0.05)。结论利用木丹颗粒治疗DPN有良好的疗效,可以提高患者生活质量水平,改善神经传导速度,有助于患者恢复,值得临床推广应用。

关键词：木丹颗粒糖尿病周围神经病变疗效

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