The use of Fresh Cut Products （FCP） allows food service units to offer a greater variety of menus, reducing costs and minimizing cross contamination. Few food units in Portugal are adopting FCP, since these products...The use of Fresh Cut Products （FCP） allows food service units to offer a greater variety of menus, reducing costs and minimizing cross contamination. Few food units in Portugal are adopting FCP, since these products are viewed as being more expensiveand are regarded as less natural and easily perishable.The present study aims to identify and analyze the level of awareness of food service operators in respect to FCP. Approximately 90% of food handlers referred the use of FCP at their workplace, pointing as the main advantages for using them the less time spent on preparation （58.6%）, the variety （55.9%） and the convenience （55.9%）. Reasons for not using them were doubtful origin （91.7%）, price （66.7%） and being a possible threat to their jobs （58.3%）. In spite of recognizing the advantages of using FCP, most of food handlers （77.2%） prefer traditional products. Traditional products were preferred by food handlers with lower educational level, working at schools and performing functions of kitchen helper. FCP were chosen by younger food handlers, with higher educational level. It seems necessary to promote a demystification of this category of products near food service managers and employees, explaining the best way and advantages of using FCP at institutional food services in terms of safety, cost and quality.展开更多
Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit prop...Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit property damage caused byfloods.The massive amount of data generated by social media platforms such as Twitter opens the door toflood analysis.Because of the real-time nature of Twitter data,some government agencies and authorities have used it to track natural catastrophe events in order to build a more rapid rescue strategy.However,due to the shorter duration of Tweets,it is difficult to construct a perfect prediction model for determiningflood.Machine learning(ML)and deep learning(DL)approaches can be used to statistically developflood prediction models.At the same time,the vast amount of Tweets necessitates the use of a big data analytics(BDA)tool forflood prediction.In this regard,this work provides an optimal deep learning-basedflood forecasting model with big data analytics(ODLFF-BDA)based on Twitter data.The suggested ODLFF-BDA technique intends to anticipate the existence offloods using tweets in a big data setting.The ODLFF-BDA technique comprises data pre-processing to convert the input tweets into a usable format.In addition,a Bidirectional Encoder Representations from Transformers(BERT)model is used to generate emotive contextual embed-ding from tweets.Furthermore,a gated recurrent unit(GRU)with a Multilayer Convolutional Neural Network(MLCNN)is used to extract local data and predict theflood.Finally,an Equilibrium Optimizer(EO)is used tofine-tune the hyper-parameters of the GRU and MLCNN models in order to increase prediction performance.The memory usage is pull down lesser than 3.5 MB,if its compared with the other algorithm techniques.The ODLFF-BDA technique’s performance was validated using a benchmark Kaggle dataset,and thefindings showed that it outperformed other recent approaches significantly.展开更多
Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD3...Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD34+ cells using a retrovirus vector with the aid of recombinant fibro nectin fragments in the presence of a cocktail of cytokines (SCF,IL-6,sIL-6R,F L,and TPO).Colony-forming units-megakaryocyte (CFU-MK) assays were performed as IL-6 gene transduced CD34+ cells were incubated alone or in combination with I L -3 or sIL-6R, controlled with neoR gene transduced CD34+ cells.Result s :IL-6 alone or sIL-6R alone stimulated few CFU-MK colonies,the addit ion of sIL-6R to IL-6 gene transduced CD34+ cells significantly enhanced the prod uction of CFU-MK colonies.IL-6 gene transduced CD34+ cells showed a modest syn er gistic effect with IL-3.Conclusion:These results suggest that IL-6 gene transfer may protect patients from chemotherapy-induced thrombocytop en ia.展开更多
Urban areas are particularly vulnerable to surface water flooding in a changing environment.A large number of urban surface water flood models have been developed to derive flood inundations and support risk managemen...Urban areas are particularly vulnerable to surface water flooding in a changing environment.A large number of urban surface water flood models have been developed to derive flood inundations and support risk management.However,unlike fluvial and coastal flooding,urban pluvial flooding is often associated with shallow water and thus the model is difficult to validate with traditional monitoring data.In this study,we first developed a full two-dimensional(2D)hydrodynamic model for simulating surface water floods.We further evaluated the model performance with multisource data from flood incidents,including official reports and social media data.The model was tested in the cities of Baoji and Linyi,China,where two surface water flood events recently occurred and caused considerable losses and casualties.In total,350 localized flooding incidents were obtained for the two cities(220 in Baoji and 130 in Linyi)and 313 reports were retained after data cleaning(202 in Baoji and 111 in Linyi).Over 90%of the reported flood incidents fall in urban areas where water depths are predicted to be higher than 0.15 m.The results demonstrate that the model is able to derive the broad patterns of flood inundation at the city scale.The approach tested here could be applied to other flood-prone cities and future research could include water depth information for more robust model validation.展开更多
In order to address the issue of overly conservative offline reinforcement learning(RL) methods that limit the generalization of policy in the out-of-distribution(OOD) region,this article designs a surrogate target fo...In order to address the issue of overly conservative offline reinforcement learning(RL) methods that limit the generalization of policy in the out-of-distribution(OOD) region,this article designs a surrogate target for OOD value function based on dataset distance and proposes a novel generalized Q-learning mechanism with distance regularization(GQDR).In theory,we not only prove the convergence of GQDR,but also ensure that the difference between the Q-value learned by GQDR and its true value is bounded.Furthermore,an offline generalized actor-critic method with distance regularization(OGACDR) is proposed by combining GQDR with actor-critic learning framework.Two implementations of OGACDR,OGACDR-EXP and OGACDRSQR,are introduced according to exponential(EXP) and opensquare(SQR) distance weight functions,and it has been theoretically proved that OGACDR provides a safe policy improvement.Experimental results on Gym-MuJoCo continuous control tasks show that OGACDR can not only alleviate the overestimation and overconservatism of Q-value function,but also outperform conservative offline RL baselines.展开更多
Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexibl...Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexible human-to-computer and human-to-human interactions while maintaining the consistency of the system. This paper summarizes previ- ous researches on this topic and points out the deficiencies of the existing results. A novel semantics-based concurrency control framework, oodOPT is proposed. The main idea of the framework is to resolve conflicts by utilizing semantics of the operations and the accessed data objects. With this approach, complexities in concurrency control are shifted completely from application developers to the framework. Conflicts among operations on objects with different semantics and the strategies resolving these conflicts are analyzed. After describing the algo- rithm in full detail, the discussion ends up with a comparison with other related work and some considerations for open problems.展开更多
China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch ...China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch in March arrived in 111 health and affixed with medical records,notes or cash.展开更多
文摘The use of Fresh Cut Products （FCP） allows food service units to offer a greater variety of menus, reducing costs and minimizing cross contamination. Few food units in Portugal are adopting FCP, since these products are viewed as being more expensiveand are regarded as less natural and easily perishable.The present study aims to identify and analyze the level of awareness of food service operators in respect to FCP. Approximately 90% of food handlers referred the use of FCP at their workplace, pointing as the main advantages for using them the less time spent on preparation （58.6%）, the variety （55.9%） and the convenience （55.9%）. Reasons for not using them were doubtful origin （91.7%）, price （66.7%） and being a possible threat to their jobs （58.3%）. In spite of recognizing the advantages of using FCP, most of food handlers （77.2%） prefer traditional products. Traditional products were preferred by food handlers with lower educational level, working at schools and performing functions of kitchen helper. FCP were chosen by younger food handlers, with higher educational level. It seems necessary to promote a demystification of this category of products near food service managers and employees, explaining the best way and advantages of using FCP at institutional food services in terms of safety, cost and quality.
文摘Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit property damage caused byfloods.The massive amount of data generated by social media platforms such as Twitter opens the door toflood analysis.Because of the real-time nature of Twitter data,some government agencies and authorities have used it to track natural catastrophe events in order to build a more rapid rescue strategy.However,due to the shorter duration of Tweets,it is difficult to construct a perfect prediction model for determiningflood.Machine learning(ML)and deep learning(DL)approaches can be used to statistically developflood prediction models.At the same time,the vast amount of Tweets necessitates the use of a big data analytics(BDA)tool forflood prediction.In this regard,this work provides an optimal deep learning-basedflood forecasting model with big data analytics(ODLFF-BDA)based on Twitter data.The suggested ODLFF-BDA technique intends to anticipate the existence offloods using tweets in a big data setting.The ODLFF-BDA technique comprises data pre-processing to convert the input tweets into a usable format.In addition,a Bidirectional Encoder Representations from Transformers(BERT)model is used to generate emotive contextual embed-ding from tweets.Furthermore,a gated recurrent unit(GRU)with a Multilayer Convolutional Neural Network(MLCNN)is used to extract local data and predict theflood.Finally,an Equilibrium Optimizer(EO)is used tofine-tune the hyper-parameters of the GRU and MLCNN models in order to increase prediction performance.The memory usage is pull down lesser than 3.5 MB,if its compared with the other algorithm techniques.The ODLFF-BDA technique’s performance was validated using a benchmark Kaggle dataset,and thefindings showed that it outperformed other recent approaches significantly.
文摘Objective:To investigate the effect of IL-6 gene transfe r into human cord blood hematopoietic stem cells on the production of megakaryocy t ic progenitors.Methods:IL-6 gene was transfected into human c o rd blood CD34+ cells using a retrovirus vector with the aid of recombinant fibro nectin fragments in the presence of a cocktail of cytokines (SCF,IL-6,sIL-6R,F L,and TPO).Colony-forming units-megakaryocyte (CFU-MK) assays were performed as IL-6 gene transduced CD34+ cells were incubated alone or in combination with I L -3 or sIL-6R, controlled with neoR gene transduced CD34+ cells.Result s :IL-6 alone or sIL-6R alone stimulated few CFU-MK colonies,the addit ion of sIL-6R to IL-6 gene transduced CD34+ cells significantly enhanced the prod uction of CFU-MK colonies.IL-6 gene transduced CD34+ cells showed a modest syn er gistic effect with IL-3.Conclusion:These results suggest that IL-6 gene transfer may protect patients from chemotherapy-induced thrombocytop en ia.
基金supported by the National Natural Science Foundation of China(Grant Nos:42371076,42271089,42461160294)the Key Project of Shanghai Municipal Education Commission(Grant No:2024AI01006)Shanghai Pilot Program for Basic Research(Grant No:TQ20240209)。
文摘Urban areas are particularly vulnerable to surface water flooding in a changing environment.A large number of urban surface water flood models have been developed to derive flood inundations and support risk management.However,unlike fluvial and coastal flooding,urban pluvial flooding is often associated with shallow water and thus the model is difficult to validate with traditional monitoring data.In this study,we first developed a full two-dimensional(2D)hydrodynamic model for simulating surface water floods.We further evaluated the model performance with multisource data from flood incidents,including official reports and social media data.The model was tested in the cities of Baoji and Linyi,China,where two surface water flood events recently occurred and caused considerable losses and casualties.In total,350 localized flooding incidents were obtained for the two cities(220 in Baoji and 130 in Linyi)and 313 reports were retained after data cleaning(202 in Baoji and 111 in Linyi).Over 90%of the reported flood incidents fall in urban areas where water depths are predicted to be higher than 0.15 m.The results demonstrate that the model is able to derive the broad patterns of flood inundation at the city scale.The approach tested here could be applied to other flood-prone cities and future research could include water depth information for more robust model validation.
基金supported by the National Natural Science Foundation of China(62373364,62176259)the Key Research and Development Program of Jiangsu Province(BE2022095)。
文摘In order to address the issue of overly conservative offline reinforcement learning(RL) methods that limit the generalization of policy in the out-of-distribution(OOD) region,this article designs a surrogate target for OOD value function based on dataset distance and proposes a novel generalized Q-learning mechanism with distance regularization(GQDR).In theory,we not only prove the convergence of GQDR,but also ensure that the difference between the Q-value learned by GQDR and its true value is bounded.Furthermore,an offline generalized actor-critic method with distance regularization(OGACDR) is proposed by combining GQDR with actor-critic learning framework.Two implementations of OGACDR,OGACDR-EXP and OGACDRSQR,are introduced according to exponential(EXP) and opensquare(SQR) distance weight functions,and it has been theoretically proved that OGACDR provides a safe policy improvement.Experimental results on Gym-MuJoCo continuous control tasks show that OGACDR can not only alleviate the overestimation and overconservatism of Q-value function,but also outperform conservative offline RL baselines.
基金The work was supported by the National Natural Science Foundation of China under grant No.69773029 and theNational '863' High-
文摘Concurrency control has always been one of the most important issues in the design of synchronous groupware systems with fully-replicated architecture. An ideal strate- gy should be able to support natural and flexible human-to-computer and human-to-human interactions while maintaining the consistency of the system. This paper summarizes previ- ous researches on this topic and points out the deficiencies of the existing results. A novel semantics-based concurrency control framework, oodOPT is proposed. The main idea of the framework is to resolve conflicts by utilizing semantics of the operations and the accessed data objects. With this approach, complexities in concurrency control are shifted completely from application developers to the framework. Conflicts among operations on objects with different semantics and the strategies resolving these conflicts are analyzed. After describing the algo- rithm in full detail, the discussion ends up with a comparison with other related work and some considerations for open problems.
文摘China's in flati on over the last decade has increas-ingly put pressure on families,especially those with children and,inevitably,single mothers.The majority of the 260 babies who were deposited at the baby hatch in March arrived in 111 health and affixed with medical records,notes or cash.
