It is increasingly recognized that young,chow-fed inbred mice poorly model the com-plexity of human carcinogenesis.In humans,age and adiposity are major risk factors for malignancies,but most genetically engineered mo...It is increasingly recognized that young,chow-fed inbred mice poorly model the com-plexity of human carcinogenesis.In humans,age and adiposity are major risk factors for malignancies,but most genetically engineered mouse models(GEMM)induce car-cinogenesis too rapidly to study these influences.Standard strains,such as C57BL/6,commonly used in GEMMs,further limit the exploration of aging and metabolic health effects.A similar challenge arises in modeling periodontitis,a disease influenced by aging,diabesity,and genetic architecture.We propose using diverse mouse popula-tions with hybrid vigor,such as the Collaborative Cross(CC)×Apc ^(Min) hybrid,to slow disease progression and better model human colorectal cancer(CRC)and comorbidi-ties.This perspective highlights the advantages of this model,where delayed car-cinogenesis reveals interactions with aging and adiposity.Unlike Apc ^(Min) mice,which develop cancer rapidly,CC×Apc ^(Min) hybrids recapitulate human-like progression.This facilitates the identification of modifier loci affecting inflammation,diet susceptibility,organ size,and polyposis distribution.The CC×Apc ^(Min) model offers a transformative platform for studying CRC as a disease of adulthood,reflecting its complex inter-play with aging and comorbidities.The insights gained from this approach will en-hance early detection,management,and treatment strategies for CRC and related conditions.展开更多
针对配电网故障预测精度低导致的配网运行不稳定问题,提出一种基于STL-LSTM的配电网故障预测模型。首先对配电网故障数据集进行数据分析,使用STL(seasonal and trend decomposition using loess,STL)进行时间序列分解,然后引入长短时记...针对配电网故障预测精度低导致的配网运行不稳定问题,提出一种基于STL-LSTM的配电网故障预测模型。首先对配电网故障数据集进行数据分析,使用STL(seasonal and trend decomposition using loess,STL)进行时间序列分解,然后引入长短时记忆网络(long-short memory network,LSTM),对数据进行特征提取,对处理后的数据进行预测。选择平均绝对百分比误差(MAPE)与决定系数(R^(2))作为性能评价指标。实验结果表明,该模型的MAPE和R2分别达到0.06和0.78,相较于其他模型具有更优秀的性能,为配电网故障数据预测提供了一种精度可靠的的预测方法。展开更多
Since the 1970s, a type of massive rugose coral having very special interwalls in the Mapingian and Chihsian strata in many regions of China has been described and reported in succession. In 1982, WU Wang-shi and ZHOU...Since the 1970s, a type of massive rugose coral having very special interwalls in the Mapingian and Chihsian strata in many regions of China has been described and reported in succession. In 1982, WU Wang-shi and ZHOU Kang-jie established a new family Kepingophyllidae to represent such a type of rugose coral. Later on, WU Wang-shi展开更多
After analyzing monthly Chinese total retail sales of consumer goods from 1978 to 2005,the author establishes ARIMA model.The model provides excellent forecasting when evaluating in terms of MAPE.Secondly,the article ...After analyzing monthly Chinese total retail sales of consumer goods from 1978 to 2005,the author establishes ARIMA model.The model provides excellent forecasting when evaluating in terms of MAPE.Secondly,the article forecasts Chinese total retail sales of consumer goods are RMB 7892 billion Yuan in 2006 and RMB 9269 billion Yuan in 2007.Total retail sales of consumer goods in countries are 1/4 of that in cities,so we should improve peasants’expense.展开更多
基金Israel Cancer Research FoundationSamuel Waxman Cancer Research FoundationCore funding from Tel Aviv University。
文摘It is increasingly recognized that young,chow-fed inbred mice poorly model the com-plexity of human carcinogenesis.In humans,age and adiposity are major risk factors for malignancies,but most genetically engineered mouse models(GEMM)induce car-cinogenesis too rapidly to study these influences.Standard strains,such as C57BL/6,commonly used in GEMMs,further limit the exploration of aging and metabolic health effects.A similar challenge arises in modeling periodontitis,a disease influenced by aging,diabesity,and genetic architecture.We propose using diverse mouse popula-tions with hybrid vigor,such as the Collaborative Cross(CC)×Apc ^(Min) hybrid,to slow disease progression and better model human colorectal cancer(CRC)and comorbidi-ties.This perspective highlights the advantages of this model,where delayed car-cinogenesis reveals interactions with aging and adiposity.Unlike Apc ^(Min) mice,which develop cancer rapidly,CC×Apc ^(Min) hybrids recapitulate human-like progression.This facilitates the identification of modifier loci affecting inflammation,diet susceptibility,organ size,and polyposis distribution.The CC×Apc ^(Min) model offers a transformative platform for studying CRC as a disease of adulthood,reflecting its complex inter-play with aging and comorbidities.The insights gained from this approach will en-hance early detection,management,and treatment strategies for CRC and related conditions.
文摘针对配电网故障预测精度低导致的配网运行不稳定问题,提出一种基于STL-LSTM的配电网故障预测模型。首先对配电网故障数据集进行数据分析,使用STL(seasonal and trend decomposition using loess,STL)进行时间序列分解,然后引入长短时记忆网络(long-short memory network,LSTM),对数据进行特征提取,对处理后的数据进行预测。选择平均绝对百分比误差(MAPE)与决定系数(R^(2))作为性能评价指标。实验结果表明,该模型的MAPE和R2分别达到0.06和0.78,相较于其他模型具有更优秀的性能,为配电网故障数据预测提供了一种精度可靠的的预测方法。
文摘Since the 1970s, a type of massive rugose coral having very special interwalls in the Mapingian and Chihsian strata in many regions of China has been described and reported in succession. In 1982, WU Wang-shi and ZHOU Kang-jie established a new family Kepingophyllidae to represent such a type of rugose coral. Later on, WU Wang-shi
文摘After analyzing monthly Chinese total retail sales of consumer goods from 1978 to 2005,the author establishes ARIMA model.The model provides excellent forecasting when evaluating in terms of MAPE.Secondly,the article forecasts Chinese total retail sales of consumer goods are RMB 7892 billion Yuan in 2006 and RMB 9269 billion Yuan in 2007.Total retail sales of consumer goods in countries are 1/4 of that in cities,so we should improve peasants’expense.
