Dietary fiber(DF)is an essential nutrient in sow diet.It can increase sow satiety and prevent constipation.It can also regulate sow gut microbiota,and the interaction between the two can regulate sows reproductive per...Dietary fiber(DF)is an essential nutrient in sow diet.It can increase sow satiety and prevent constipation.It can also regulate sow gut microbiota,and the interaction between the two can regulate sows reproductive performance and metabolic function and the growth performance of offspring piglets.It can be seen that the benefits of DF in sow production are inseparable from the interaction of gut microbiota.This paper reviewed the effects of DF on the diversity of sows gut microbiota,and the effects of DF-gut microbiota interaction on sows gut microbiota,metabolism,ovulation and lactation,as well as on offspring production performance,aiming to provide a new strategy for the application and research in sow diet.展开更多
Since the Party Central Committee has explicitly requested the running of excellent ideological and political theory courses,the teaching methods of ideological and political theory courses have become a major topic o...Since the Party Central Committee has explicitly requested the running of excellent ideological and political theory courses,the teaching methods of ideological and political theory courses have become a major topic of discussion in academic circles.A gap remains between the current teaching methods of ideological and political theory courses and those in the new era.In order to improve the nurturing effect of key courses,it is necessary to study the basic logic of its effectiveness enhancement from the perspective of practice.In the new era,it is essential to take the spirit from the series of important speeches of the Party and national leaders on ideological and political theory courses as guidance,draw on the effective teaching ideas of Comenius that reflect“fun,”“convenience,”and“thoroughness,”closely combine the teaching practice,as well as select and apply the teaching methods based on the concept of three“combinations”and two“innovations,”i.e.,combining students,teachers’teaching styles,and teaching contents;and innovating and practicing the integrated teaching method of diversified integration as well as the new teaching method of media technology-integrated smart classroom.展开更多
The enhancement of photoelectric-thermal conversion efficiency of solar energy holds considerable promise for achieving substantial energy savings and emission reductions in the domain of residential heating and elect...The enhancement of photoelectric-thermal conversion efficiency of solar energy holds considerable promise for achieving substantial energy savings and emission reductions in the domain of residential heating and electricity supply.This paper proposed a novel approach for converting a photovoltaic system into a roll-bond panel-based photovoltaic thermal(PVT)heat pump system capable of concurrently generating electricity and domestic hot water.A test rig was constructed to assess its comprehensive cogeneration performance.The results demonstrated significant cogeneration capabilities,with an average electrical efficiency of 19.66%,an average heat gain factor of 0.89,and an average heating performance coefficient of 5.15 under specified weather conditions.The heating performance coefficient of this system was 12%higher than the designated first-class energy efficiency rating(4.60)for air-source heat pump water heaters.Controlled experiments were also conducted to evaluate the systematic electrical output compared to the photovoltaic system with an identical electrical subsystem configuration.A considerable decrease in PVT module temperature was witnessed,resulting in an enhancement of electrical production by 4.4%during the test period.Furthermore,a mathematical model was developed and validated by the experimental outcomes.The systematic annual cogeneration performance and the potential for CO_(2)emissions reduction were also assessed.The simulated annual average heating performance coefficient and the electrical output improvement were 4.90 and 3.67%,respectively.In light of this,annual CO_(2)emissions of the proposed system were calculated to be 192.3 kg CO_(2),representing a reduction of 91.1%compared to the emissions from the pathways of natural gas-fired power and gas water heater heating.展开更多
Reactant gas and liquid water transport phenomena in the flow channels are complex and critical to the performance and durability of polymer electrolyte membrane fuel cells.The polymer membrane needs water at an optim...Reactant gas and liquid water transport phenomena in the flow channels are complex and critical to the performance and durability of polymer electrolyte membrane fuel cells.The polymer membrane needs water at an optimum level for proton conductivity.Water management involves the prevention of dehydration,waterlogging,and the cell’s subsequent performance decline and degradation.This process requires the study and understanding of internal two-phase flows.Different experimental visualization techniques are used to study two-phase flows in polymer electrolyte membrane fuel cells.However,the experiments have limitations in in situ measurements;they are also expensive and time exhaustive.In contrast,numerical modeling is cheaper and faster,providing insights into the complex multiscale processes occurring across the components of the polymer electrolyte membrane fuel cells.This paper introduces the recent design of flow channels.It reviews the numerical modeling techniques adopted for the transport phenomena therein:the two-fluid,multiphase mixture,volume of fluid,lattice Boltzmann,and pressure drop models.Furthermore,this work describes,compares,and analyses the models’approaches and reviews the representative results of some selected aspects.Finally,the paper summarizes the modeling perspectives,emphasizing future directions with some recommendations.展开更多
This study aims to investigate the significance and biodegradation pathways of PHB-based bioplastic in anaerobic digesters treating food waste,where the reactor performance of changed methane generation,bioplastic bio...This study aims to investigate the significance and biodegradation pathways of PHB-based bioplastic in anaerobic digesters treating food waste,where the reactor performance of changed methane generation,bioplastic biodegradation efficiency,and bioinformatic analysis of functional microbes were emphasized.The results showed that PHB-based plastic film could be partially biodegraded in the food waste digester,and a bioaugmentation use of Alcaligenes Faecalis(AF)and Bacillus Megaterium(BM)was beneficial to largely accelerate the degradation process through a beneficial shift of both the functional bacterial and archaeal species.Microbial community analysis indicated that the major bacterial species belonged to genera Candidatus_Cloacimonas,Rikenellaceae,and Defluviitoga,while the dominant methanogenic archaeal species belonged to genera Methanomassiliicoccus,Methanosarcina,and Methanosaeta.Bioplastic biodegradation analysis suggested that the optimal fractions of AF and BM for PHB-based plastic degradation were 50% AF and 75% BM,respectively,which deserves further optimization and scale-up validation.The finding of this study would contribute to the combined management of PHB-based bioplastic with food waste for clean energy recovery and a greener environment.展开更多
The utilization of biochar derived from biomass residue to enhance anaerobic digestion(AD)for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change.However,conducti...The utilization of biochar derived from biomass residue to enhance anaerobic digestion(AD)for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change.However,conducting comprehensive research on the optimal conditions for AD experiments with biochar addition poses a challenge due to diverse experimental objectives.Machine learning(ML)has demonstrated its effectiveness in addressing this issue.Therefore,it is essential to provide an overview of current ML-optimized energy recovery processes for biochar-enhanced AD in order to facilitate a more systematic utilization of ML tools.This review comprehensively examines the material and energy flow of biochar preparation and its impact on AD is comprehension reviewed to optimize biochar-enhanced bioenergy recovery from a production process perspective.Specifically,it summarizes the appli-cation of the ML techniques,based on artificial intelligence,for predicting biochar yield and properties of biomass residues,as well as their utilization in AD.Overall,this review offers a comprehensive analysis to address the current challenges in biochar utilization and sustainable energy recovery.In future research,it is crucial to tackle the chal-lenges that hinder the implementation of biochar in pilot-scale reactors.It is recommended to further investigate the correlation between the physicochemical properties of biochar and the bioenergy recovery process.Addition-ally,enhancing the role of ML throughout the entire biochar-enhanced bioenergy recovery process holds promise for achieving economically and environmentally optimized bioenergy recovery efficiency.展开更多
文摘Dietary fiber(DF)is an essential nutrient in sow diet.It can increase sow satiety and prevent constipation.It can also regulate sow gut microbiota,and the interaction between the two can regulate sows reproductive performance and metabolic function and the growth performance of offspring piglets.It can be seen that the benefits of DF in sow production are inseparable from the interaction of gut microbiota.This paper reviewed the effects of DF on the diversity of sows gut microbiota,and the effects of DF-gut microbiota interaction on sows gut microbiota,metabolism,ovulation and lactation,as well as on offspring production performance,aiming to provide a new strategy for the application and research in sow diet.
基金supported by the Social Science Planning Fund Project of Liaoning Province(Special Project of College Civics)“Empirical Study on the Status,Problems and Countermeasures of College Students’Identity in Civics Class”(Project Number:L19DSZ004).
文摘Since the Party Central Committee has explicitly requested the running of excellent ideological and political theory courses,the teaching methods of ideological and political theory courses have become a major topic of discussion in academic circles.A gap remains between the current teaching methods of ideological and political theory courses and those in the new era.In order to improve the nurturing effect of key courses,it is necessary to study the basic logic of its effectiveness enhancement from the perspective of practice.In the new era,it is essential to take the spirit from the series of important speeches of the Party and national leaders on ideological and political theory courses as guidance,draw on the effective teaching ideas of Comenius that reflect“fun,”“convenience,”and“thoroughness,”closely combine the teaching practice,as well as select and apply the teaching methods based on the concept of three“combinations”and two“innovations,”i.e.,combining students,teachers’teaching styles,and teaching contents;and innovating and practicing the integrated teaching method of diversified integration as well as the new teaching method of media technology-integrated smart classroom.
基金supported by the project“Key Technologies and Pilot Applications of High-efficiency and Low-cost Hybrid Solar Photovoltaic-thermal System”from the Science and Technology Commission of Shanghai Municipality(Grant No.22dz1206200)the Key Research and Development Program of Shandong(Grant No.2024CXGC010705)The authors also gratefully acknowledge the support from the Fundamental Research Funds for the Central Universities(Grant No.AF0200316).
文摘The enhancement of photoelectric-thermal conversion efficiency of solar energy holds considerable promise for achieving substantial energy savings and emission reductions in the domain of residential heating and electricity supply.This paper proposed a novel approach for converting a photovoltaic system into a roll-bond panel-based photovoltaic thermal(PVT)heat pump system capable of concurrently generating electricity and domestic hot water.A test rig was constructed to assess its comprehensive cogeneration performance.The results demonstrated significant cogeneration capabilities,with an average electrical efficiency of 19.66%,an average heat gain factor of 0.89,and an average heating performance coefficient of 5.15 under specified weather conditions.The heating performance coefficient of this system was 12%higher than the designated first-class energy efficiency rating(4.60)for air-source heat pump water heaters.Controlled experiments were also conducted to evaluate the systematic electrical output compared to the photovoltaic system with an identical electrical subsystem configuration.A considerable decrease in PVT module temperature was witnessed,resulting in an enhancement of electrical production by 4.4%during the test period.Furthermore,a mathematical model was developed and validated by the experimental outcomes.The systematic annual cogeneration performance and the potential for CO_(2)emissions reduction were also assessed.The simulated annual average heating performance coefficient and the electrical output improvement were 4.90 and 3.67%,respectively.In light of this,annual CO_(2)emissions of the proposed system were calculated to be 192.3 kg CO_(2),representing a reduction of 91.1%compared to the emissions from the pathways of natural gas-fired power and gas water heater heating.
基金supported under the program of the top project unveiled by the Inner Mongolia Autonomous Region(Grant No.22JBGS0027).
文摘Reactant gas and liquid water transport phenomena in the flow channels are complex and critical to the performance and durability of polymer electrolyte membrane fuel cells.The polymer membrane needs water at an optimum level for proton conductivity.Water management involves the prevention of dehydration,waterlogging,and the cell’s subsequent performance decline and degradation.This process requires the study and understanding of internal two-phase flows.Different experimental visualization techniques are used to study two-phase flows in polymer electrolyte membrane fuel cells.However,the experiments have limitations in in situ measurements;they are also expensive and time exhaustive.In contrast,numerical modeling is cheaper and faster,providing insights into the complex multiscale processes occurring across the components of the polymer electrolyte membrane fuel cells.This paper introduces the recent design of flow channels.It reviews the numerical modeling techniques adopted for the transport phenomena therein:the two-fluid,multiphase mixture,volume of fluid,lattice Boltzmann,and pressure drop models.Furthermore,this work describes,compares,and analyses the models’approaches and reviews the representative results of some selected aspects.Finally,the paper summarizes the modeling perspectives,emphasizing future directions with some recommendations.
基金funded by the National Research Foundation,Prime Minister’s Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)Programme.
文摘This study aims to investigate the significance and biodegradation pathways of PHB-based bioplastic in anaerobic digesters treating food waste,where the reactor performance of changed methane generation,bioplastic biodegradation efficiency,and bioinformatic analysis of functional microbes were emphasized.The results showed that PHB-based plastic film could be partially biodegraded in the food waste digester,and a bioaugmentation use of Alcaligenes Faecalis(AF)and Bacillus Megaterium(BM)was beneficial to largely accelerate the degradation process through a beneficial shift of both the functional bacterial and archaeal species.Microbial community analysis indicated that the major bacterial species belonged to genera Candidatus_Cloacimonas,Rikenellaceae,and Defluviitoga,while the dominant methanogenic archaeal species belonged to genera Methanomassiliicoccus,Methanosarcina,and Methanosaeta.Bioplastic biodegradation analysis suggested that the optimal fractions of AF and BM for PHB-based plastic degradation were 50% AF and 75% BM,respectively,which deserves further optimization and scale-up validation.The finding of this study would contribute to the combined management of PHB-based bioplastic with food waste for clean energy recovery and a greener environment.
基金supported by the National Key Research and Development Program of China(grant number 2019YFC1900602)the National Natural Science Foundation of China(grant number 52270131)National Research Foundation,Prime Minister’s Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)program.
文摘The utilization of biochar derived from biomass residue to enhance anaerobic digestion(AD)for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change.However,conducting comprehensive research on the optimal conditions for AD experiments with biochar addition poses a challenge due to diverse experimental objectives.Machine learning(ML)has demonstrated its effectiveness in addressing this issue.Therefore,it is essential to provide an overview of current ML-optimized energy recovery processes for biochar-enhanced AD in order to facilitate a more systematic utilization of ML tools.This review comprehensively examines the material and energy flow of biochar preparation and its impact on AD is comprehension reviewed to optimize biochar-enhanced bioenergy recovery from a production process perspective.Specifically,it summarizes the appli-cation of the ML techniques,based on artificial intelligence,for predicting biochar yield and properties of biomass residues,as well as their utilization in AD.Overall,this review offers a comprehensive analysis to address the current challenges in biochar utilization and sustainable energy recovery.In future research,it is crucial to tackle the chal-lenges that hinder the implementation of biochar in pilot-scale reactors.It is recommended to further investigate the correlation between the physicochemical properties of biochar and the bioenergy recovery process.Addition-ally,enhancing the role of ML throughout the entire biochar-enhanced bioenergy recovery process holds promise for achieving economically and environmentally optimized bioenergy recovery efficiency.
