In this work fibers derived from coffee</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> hulls ha</span><span style="font-f...In this work fibers derived from coffee</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> hulls ha</span><span style="font-family:Verdana;">ve</span><span style="font-family:Verdana;"> been incorporated into Linear Low Density Polyethylene (LLDPE). The influence of the filler content on </span><span style="font-family:Verdana;">the </span><span style="font-family:Verdana;">thermal and physicomechanical properties of the composites obtained was assessed. The results showed that the incorporation of fibers was able to improve the thermostability of LLDPE/Coffee hulls fibers;comparing the treated fiber composite with untreated fiber composites, the chemical treatment reduces by 58.3% the water absorption, while increasing the elongation and tensile strength by about 48% and 17% respectively. Moreover, due to better interfacial interaction induced by MAPE, the corresponding composite exhibited better properties compared to the untreated fiber composite. Results are indicative of the fact that both mercerization and MAPE (coupling agent) have significant positive effects on the fib</span><span style="font-family:Verdana;">er</span><span style="font-family:Verdana;">-matrix interaction in terms of adhesion, wetting and dispersion, this treatment produced a better fiber distribution and consequently a more uniform composite morphology without voids and gaps between the fibers and the matrix, allowing the possibility to use higher fiber contents (up to 30% wt.) with acceptable mechanical properties.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
Background:Urogenital schistosomiasis is a parasitic infection of public health importance that affects over 112 million people worldwide.The study aimed at assessing the urogenital schistosomiasis prevalence and risk...Background:Urogenital schistosomiasis is a parasitic infection of public health importance that affects over 112 million people worldwide.The study aimed at assessing the urogenital schistosomiasis prevalence and risk factors of transmission around Mape dam suburds in Malantouen district,West,Cameroon.Methods:The study was conducted using semi-structured pretested questionnaires to collect socio-demographic and ecological data.Urine samples were also collected and used to confirm the prevalence of schistosomiasis in consented school-aged children in four primary schools between March-July 2014.Snails’samples around the dam surburbs were also collected for taxonomy characterization and species identification.Data were compiled and quality control assessed and analysed using SPSS version 17 and Epiinfo data 3.1.P<0.05 was considered statistical significance.Results:Questionnaires were administered to 229 pupils,with gender ratio of 1.04(m/f).The prevalence of schistosomiasis haematobium was 16.6%.Mambonko school site,which is the closest to the dam suburbs,registered the greatest prevalence rate of 40%.The age group beween 10-13 years was the most infected(18.3%)and boys were more infested than girls(21.0%vs.15.5%).Haematuria,urination pain,school absentiesm and poor performance were the major recorded complications in 39.5 and 26.3%males to female respectively.Infection rate gender disparity documented is still poorly understood and Bulinus truncatus collected from Mambonko suburb as potential snail intermediate host requires further studies.Conclusions:Authors advocated that schools and dam suburds sustained and innovative community-based surveillance and response targeted interventions implementation are needed to inform and support decisionmaking policy,but also in improving effective contextual behavioural communication changes and MDA improved uptake measures on national schistosomiasis control and elimination in Cameroon.展开更多
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
文摘In this work fibers derived from coffee</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> hulls ha</span><span style="font-family:Verdana;">ve</span><span style="font-family:Verdana;"> been incorporated into Linear Low Density Polyethylene (LLDPE). The influence of the filler content on </span><span style="font-family:Verdana;">the </span><span style="font-family:Verdana;">thermal and physicomechanical properties of the composites obtained was assessed. The results showed that the incorporation of fibers was able to improve the thermostability of LLDPE/Coffee hulls fibers;comparing the treated fiber composite with untreated fiber composites, the chemical treatment reduces by 58.3% the water absorption, while increasing the elongation and tensile strength by about 48% and 17% respectively. Moreover, due to better interfacial interaction induced by MAPE, the corresponding composite exhibited better properties compared to the untreated fiber composite. Results are indicative of the fact that both mercerization and MAPE (coupling agent) have significant positive effects on the fib</span><span style="font-family:Verdana;">er</span><span style="font-family:Verdana;">-matrix interaction in terms of adhesion, wetting and dispersion, this treatment produced a better fiber distribution and consequently a more uniform composite morphology without voids and gaps between the fibers and the matrix, allowing the possibility to use higher fiber contents (up to 30% wt.) with acceptable mechanical properties.
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Background:Urogenital schistosomiasis is a parasitic infection of public health importance that affects over 112 million people worldwide.The study aimed at assessing the urogenital schistosomiasis prevalence and risk factors of transmission around Mape dam suburds in Malantouen district,West,Cameroon.Methods:The study was conducted using semi-structured pretested questionnaires to collect socio-demographic and ecological data.Urine samples were also collected and used to confirm the prevalence of schistosomiasis in consented school-aged children in four primary schools between March-July 2014.Snails’samples around the dam surburbs were also collected for taxonomy characterization and species identification.Data were compiled and quality control assessed and analysed using SPSS version 17 and Epiinfo data 3.1.P<0.05 was considered statistical significance.Results:Questionnaires were administered to 229 pupils,with gender ratio of 1.04(m/f).The prevalence of schistosomiasis haematobium was 16.6%.Mambonko school site,which is the closest to the dam suburbs,registered the greatest prevalence rate of 40%.The age group beween 10-13 years was the most infected(18.3%)and boys were more infested than girls(21.0%vs.15.5%).Haematuria,urination pain,school absentiesm and poor performance were the major recorded complications in 39.5 and 26.3%males to female respectively.Infection rate gender disparity documented is still poorly understood and Bulinus truncatus collected from Mambonko suburb as potential snail intermediate host requires further studies.Conclusions:Authors advocated that schools and dam suburds sustained and innovative community-based surveillance and response targeted interventions implementation are needed to inform and support decisionmaking policy,but also in improving effective contextual behavioural communication changes and MDA improved uptake measures on national schistosomiasis control and elimination in Cameroon.
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.
