Disturbances in the microbiota-gut-brain axis may contribute to the development of Alzheimer's disease. Magnesium-L-threonate has recently been found to have protective effects on learning and memory in aged and A...Disturbances in the microbiota-gut-brain axis may contribute to the development of Alzheimer's disease. Magnesium-L-threonate has recently been found to have protective effects on learning and memory in aged and Alzheimer's disease model mice. However, the effects of magnesium-L-threonate on the gut microbiota in Alzheimer's disease remain unknown. Previously, we reported that magnesium-L-threonate treatment improved cognition and reduced oxidative stress and inflammation in a double-transgenic line of Alzheimer's disease model mice expressing the amyloid-β precursor protein and mutant human presenilin 1(APP/PS1). Here, we performed 16S r RNA amplicon sequencing and liquid chromatography-mass spectrometry to analyze changes in the microbiome and serum metabolome following magnesium-Lthreonate exposure in a similar mouse model. Magnesium-L-threonate modulated the abundance of three genera in the gut microbiota, decreasing Allobaculum and increasing Bifidobacterium and Turicibacter. We also found that differential metabolites in the magnesiumL-threonate-regulated serum were enriched in various pathways associated with neurodegenerative diseases. The western blotting detection on intestinal tight junction proteins(zona occludens 1, occludin, and claudin-5) showed that magnesium-L-threonate repaired the intestinal barrier dysfunction of APP/PS1 mice. These findings suggest that magnesium-L-threonate may reduce the clinical manifestations of Alzheimer's disease through the microbiota-gut-brain axis in model mice, providing an experimental basis for the clinical treatment of Alzheimer's disease.展开更多
Objective:To establish an optimized aqueous extraction process for polysaccharides from Physalis alkekengi L.peel and to preliminarily explore its in vitro anti-inflammatory activity against colorectal cancer SW620 ce...Objective:To establish an optimized aqueous extraction process for polysaccharides from Physalis alkekengi L.peel and to preliminarily explore its in vitro anti-inflammatory activity against colorectal cancer SW620 cells.Methods:A single-factor test combined with orthogonal test analysis was used to evaluate the effects of the material-to-liquid ratio,extraction temperature,and extraction time on the yield of polysaccharides from Physalis alkekengi L.peel.The antioxidant activity of the polysaccharides was assessed by analyzing their free radical scavenging ability in vitro,and the anti-inflammatory effect was evaluated using SW620 cells.Results:The optimal extraction conditions were a material-to-liquid ratio of m(g):V(mL)=1:30,an extraction temperature of 100℃,and an extraction time of 40 minutes,with a predicted polysaccharide yield of 25.7%.The polysaccharides from Physalis peruviana peel effectively scavenged DPPH,superoxide anion,and hydroxyl radicals.After treatment with Physalis peruviana polysaccharides,the levels of IL-1β,IL-18,and TNF-αin the cell culture medium were significantly reduced,and the phosphorylation level of P65 protein in SW620 cells was decreased.Conclusion:This extraction method is stable and reliable,and the prepared Physalis alkekengi L.polysaccharides exhibit significant in vitro antioxidant and anti-inflammatory activities.This study provides a theoretical basis for developing drugs for the prevention and treatment of colorectal cancer.展开更多
Temperature-dependent photoluminescence characteristics of organic-inorganic halide perovskite CH3NH3Pb I3-xClx films prepared using a two-step method on ZnO/FTO substrates were investigated. Surface morphology and ab...Temperature-dependent photoluminescence characteristics of organic-inorganic halide perovskite CH3NH3Pb I3-xClx films prepared using a two-step method on ZnO/FTO substrates were investigated. Surface morphology and absorption characteristics of the films were also studied. Scanning electron microscopy revealed large crystals and substrate coverage. The orthorhombic-to-tetragonal phase transition temperature was-140 K. The films＇ exciton binding energy was 77.6 ± 10.9 meV and the energy of optical phonons was 38.8 ± 2.5 meV. These results suggest that perovskite CH3NH3Pb I（3-x）Clx films have excellent optoelectronic characteristics which further suggests their potential usage in perovskitebased optoelectronic devices.展开更多
Molecular design of either polymer donors or acceptors is a promising strategy to tune the morphology of the active layer of organic solar cells,enabling a high-performance device.Thereinto,developing novel polymer do...Molecular design of either polymer donors or acceptors is a promising strategy to tune the morphology of the active layer of organic solar cells,enabling a high-performance device.Thereinto,developing novel polymer donors is an alternative method to obtain high photovoltaic performance.Herein,we present a facile side-chain engineering on the dithiophenobenzotriazole(DTBTz)unit of newly-designed polymer donors(named p BDT-DTBTz-EH and p BDT-DTBTz-Me)to boost the performance of non-fullerene solar cells.Compared with p BDT-DTBTz-EH with long N-alkyl side chains,p BDT-DTBTz-Me with a short methyl exhibits stronger molecular aggregation,higher absorption coefficient,and preferred face-on orientation packing.As a consequence,p BDT-DTBTz-Me based devices achieve an optimal power conversion efficiency of 15.31%when donors are paired with the narrow bandgap acceptor Y6,which is superior to that of p BDT-DTBTz-EH based devices(9.17%).Additionally,the p BDT-DTBTz-Me based devices manifest more effective charge separation and transfer than p BDT-DTBTz-EH based devices.These results indicate that fine-tuning side chains of polymer donors provide new insights for the design of high-performance polymer donors in non-fullerene solar cells.展开更多
The martensitic transformation,mechanical,and magnetic properties of the Ni_(2)Mn_(1.5-x)Cu_(x)Ti_(0.5) (x=0.125,0.25,0.375,0.5) and Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5)[(x=0.125,y=0.125,0.25,0.375,0.5) and (x=0.125...The martensitic transformation,mechanical,and magnetic properties of the Ni_(2)Mn_(1.5-x)Cu_(x)Ti_(0.5) (x=0.125,0.25,0.375,0.5) and Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5)[(x=0.125,y=0.125,0.25,0.375,0.5) and (x=0.125,0.25,0.375,y=0.625)]alloys were systematically studied by the first-principles calculations.For the formation energy,the martensite is smaller than the austenite,the Ni–(Co)–Mn–Cu–Ti alloys studied in this work can undergo martensitic transformation.The austenite and non-modulated (NM) martensite always present antiferromagnetic state in the Ni_(2)Mn_(1.5-x)Cu_(x)Ti_(0.5) and Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5) (y<0.625) alloys.When y=0.625 in the Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5) series,the austenite presents ferromagnetic state while the NM martensite shows antiferromagnetic state.Cu doping can decrease the thermal hysteresis and anisotropy of the Ni–(Co)–Mn–Ti alloy.Increasing Mn and decreasing Ti content can improve the shear resistance and normal stress resistance,but reduce the toughness in the Ni–Mn–Cu–Ti alloy.And the ductility of the Co–Cu co-doping alloy is inferior to that of the Ni–Mn–Cu–Ti and Ni–Co–Mn–Ti alloys.The electronic density of states was studied to reveal the essence of the mechanical and magnetic properties.展开更多
Resistant starch(RS)has attracted much researchers'attention because of its health-beneficial effects.Gut microbiota obviously shapes human health,but the effects of RS supplementation on the changes of human gut ...Resistant starch(RS)has attracted much researchers'attention because of its health-beneficial effects.Gut microbiota obviously shapes human health,but the effects of RS supplementation on the changes of human gut microbiota remain unclear.This observational meta-analysis aimed to reveal the effects of RS intake onα-diversity and composition of gut microbiota through meta-analysis.Two independent authors systematically searched articles from inception until February 2023 on four electronic databases.Twenty-four highly relevant trials were included conforming to Preferred Reporting Items for Systematic reviews and MetaAnalysis protocol,and a total of 816 individuals were included.Significant heterogeneity analyses revealed that RS intake notably decreased Shannon index(weighted mean difference(WMD):-0.11;95%confidence interval(CI):-0.21,-0.01),and stimulated the composition of health promoting bacteria genera,including Bifidobacterium(relative abundance:WMD:1.75;95%CI:0.39,3.11;bacterial populations:WMD:0.36;95%CI:0.04,0.69),Faecalibacterium(relative abundance:WMD:0.70;95%CI:0.20,1.20;fold change:effect size:0.91;95%CI:0.60,1.23),and Prevotella(relative abundance:WMD:0.35;95%CI:0.01,0.69).Taken together,the present study revealed that changes in the gut microbiota diversity and genera were correlated with RS supplementation,which may contribute to benefits in human health.展开更多
We experimentally demonstrated the use of intelligent impairment equalization(IIE)for microwave downconversion link linearization in noncooperative systems.Such an equalizer is realized based on an artificial neural n...We experimentally demonstrated the use of intelligent impairment equalization(IIE)for microwave downconversion link linearization in noncooperative systems.Such an equalizer is realized based on an artificial neural network(ANN).Once the training process is completed,the inverse link transfer function can be determined.With the inverse transformation for the detected signal after transmission,the third-order intermodulation distortion components are suppressed significantly without requiring any prior information from an input RF signal.Furthermore,fast training speed is achieved,since the configuration of ANN-based equalizer is simple.Experimental results show that the spurious-free dynamic range of the proposed link is improved to 106.5 dB·Hz^(2/3),which is 11.3 dB higher than that of a link without IIE.Meanwhile,the training epochs reduce to only five,which has the potential to meet the practical engineering requirement.展开更多
Physiological computing uses human physiological data as system inputs in real time.It includes,or significantly overlaps with,brain-computer interfaces,affective computing,adaptive automation,health informatics,and p...Physiological computing uses human physiological data as system inputs in real time.It includes,or significantly overlaps with,brain-computer interfaces,affective computing,adaptive automation,health informatics,and physiological signal based biometrics.Physiological computing increases the communication bandwidth from the user to the computer,but is also subject to various types of adversarial attacks,in which the attacker deliberately manipulates the training and/or test examples to hijack the machine learning algorithm output,leading to possible user confusion,frustration,injury,or even death.However,the vulnerability of physiological computing systems has not been paid enough attention to,and there does not exist a comprehensive review on adversarial attacks to them.This study fills this gap,by providing a systematic review on the main research areas of physiological computing,different types of adversarial attacks and their applications to physiological computing,and the corresponding defense strategies.We hope this review will attract more research interests on the vulnerability of physiological computing systems,and more importantly,defense strategies to make them more secure.展开更多
Polymers play an integral role in various applications,from everyday use to advanced technologies.In the era of machine learning(ML),polymer informatics has become a vital field for efficiently designing and developin...Polymers play an integral role in various applications,from everyday use to advanced technologies.In the era of machine learning(ML),polymer informatics has become a vital field for efficiently designing and developing polymeric materials.However,the focus of polymer informatics has predominantly centered on single-component polymers,leaving the vast chemical space of polymer blends relatively unexplored.This study employs a high-throughput molecular dynamics(MD)simulation combined with active learning(AL)to uncover polymer blends with enhanced thermal conductivity(TC)compared to the constituent single-component polymers.Initially,the TC of about 600 amorphous single-component polymers and 200 amorphous polymer blends with varying blending ratios are determined through MD simulations.The optimal representation method for polymer blends is identified,which involves a weighted sum approach that extends existing polymer representation from single-component polymers to polymer blends.An AL framework,combining MD simulation and ML,is employed to explore the TC of approximately 550,000 unlabeled polymer blends.The AL framework proves highly effective in accelerating the discovery of high-performance polymer blends for thermal transport.Additionally,we delve into the relationship between TC,radius of gyration(Rg),and hydrogen bonding,highlighting the roles of inter-and intra-chain interactions in thermal transport in amorphous polymer blends.A significant positive association between TC and Rg improvement and an indirect contribution from H-bond interaction to TC enhancement are revealed through a log-linear model and an odds ratio calculation,emphasizing the impact of increasingRg and H-bond interactions on enhancing polymer blend TC.展开更多
基金supported by the National Natural Science Foundation of China,Nos.82101271 (to WL),82171178 (to JL)Basic and Applied Basic Research Foundation of Guangdong Province,Nos.2020A1515110317 (to WL),2021A1515010705 (to WL)+1 种基金Young Talent Support Project of Guangzhou Association for Science and Technology (to WL)Technology Key Project of Shenzhen,No.JCYJ202001091 14612308 (to ZS)。
文摘Disturbances in the microbiota-gut-brain axis may contribute to the development of Alzheimer's disease. Magnesium-L-threonate has recently been found to have protective effects on learning and memory in aged and Alzheimer's disease model mice. However, the effects of magnesium-L-threonate on the gut microbiota in Alzheimer's disease remain unknown. Previously, we reported that magnesium-L-threonate treatment improved cognition and reduced oxidative stress and inflammation in a double-transgenic line of Alzheimer's disease model mice expressing the amyloid-β precursor protein and mutant human presenilin 1(APP/PS1). Here, we performed 16S r RNA amplicon sequencing and liquid chromatography-mass spectrometry to analyze changes in the microbiome and serum metabolome following magnesium-Lthreonate exposure in a similar mouse model. Magnesium-L-threonate modulated the abundance of three genera in the gut microbiota, decreasing Allobaculum and increasing Bifidobacterium and Turicibacter. We also found that differential metabolites in the magnesiumL-threonate-regulated serum were enriched in various pathways associated with neurodegenerative diseases. The western blotting detection on intestinal tight junction proteins(zona occludens 1, occludin, and claudin-5) showed that magnesium-L-threonate repaired the intestinal barrier dysfunction of APP/PS1 mice. These findings suggest that magnesium-L-threonate may reduce the clinical manifestations of Alzheimer's disease through the microbiota-gut-brain axis in model mice, providing an experimental basis for the clinical treatment of Alzheimer's disease.
文摘Objective:To establish an optimized aqueous extraction process for polysaccharides from Physalis alkekengi L.peel and to preliminarily explore its in vitro anti-inflammatory activity against colorectal cancer SW620 cells.Methods:A single-factor test combined with orthogonal test analysis was used to evaluate the effects of the material-to-liquid ratio,extraction temperature,and extraction time on the yield of polysaccharides from Physalis alkekengi L.peel.The antioxidant activity of the polysaccharides was assessed by analyzing their free radical scavenging ability in vitro,and the anti-inflammatory effect was evaluated using SW620 cells.Results:The optimal extraction conditions were a material-to-liquid ratio of m(g):V(mL)=1:30,an extraction temperature of 100℃,and an extraction time of 40 minutes,with a predicted polysaccharide yield of 25.7%.The polysaccharides from Physalis peruviana peel effectively scavenged DPPH,superoxide anion,and hydroxyl radicals.After treatment with Physalis peruviana polysaccharides,the levels of IL-1β,IL-18,and TNF-αin the cell culture medium were significantly reduced,and the phosphorylation level of P65 protein in SW620 cells was decreased.Conclusion:This extraction method is stable and reliable,and the prepared Physalis alkekengi L.polysaccharides exhibit significant in vitro antioxidant and anti-inflammatory activities.This study provides a theoretical basis for developing drugs for the prevention and treatment of colorectal cancer.
基金supported by the International Science and Technology Cooperation Program of Science and Technology Bureau of Changchun City,China(Grant No.12ZX68)
文摘Temperature-dependent photoluminescence characteristics of organic-inorganic halide perovskite CH3NH3Pb I3-xClx films prepared using a two-step method on ZnO/FTO substrates were investigated. Surface morphology and absorption characteristics of the films were also studied. Scanning electron microscopy revealed large crystals and substrate coverage. The orthorhombic-to-tetragonal phase transition temperature was-140 K. The films＇ exciton binding energy was 77.6 ± 10.9 meV and the energy of optical phonons was 38.8 ± 2.5 meV. These results suggest that perovskite CH3NH3Pb I（3-x）Clx films have excellent optoelectronic characteristics which further suggests their potential usage in perovskitebased optoelectronic devices.
基金financially supported by the National Key Research and Development Program of China(Grant No.2019YFA0705900)funded by MOST and the Basic and Applied Basic Research Major Program of Guangdong Province(Grant No.2019B030302007)。
文摘Molecular design of either polymer donors or acceptors is a promising strategy to tune the morphology of the active layer of organic solar cells,enabling a high-performance device.Thereinto,developing novel polymer donors is an alternative method to obtain high photovoltaic performance.Herein,we present a facile side-chain engineering on the dithiophenobenzotriazole(DTBTz)unit of newly-designed polymer donors(named p BDT-DTBTz-EH and p BDT-DTBTz-Me)to boost the performance of non-fullerene solar cells.Compared with p BDT-DTBTz-EH with long N-alkyl side chains,p BDT-DTBTz-Me with a short methyl exhibits stronger molecular aggregation,higher absorption coefficient,and preferred face-on orientation packing.As a consequence,p BDT-DTBTz-Me based devices achieve an optimal power conversion efficiency of 15.31%when donors are paired with the narrow bandgap acceptor Y6,which is superior to that of p BDT-DTBTz-EH based devices(9.17%).Additionally,the p BDT-DTBTz-Me based devices manifest more effective charge separation and transfer than p BDT-DTBTz-EH based devices.These results indicate that fine-tuning side chains of polymer donors provide new insights for the design of high-performance polymer donors in non-fullerene solar cells.
基金financially supported by the National Natural Science Foundation of China(No.51771044)the Natural Science Foundation of Hebei Province(No.E2019501061)+3 种基金the Performance subsidy fund for Key Laboratory of Dielectric and Electrolyte Functional Material Hebei Province(No.22567627H)the Fundamental Research Funds for the Central Universities(No.N2223025)the State Key Lab of Advanced Metals and Materials(No.2022-Z02)Programme of Introducing Talents of Discipline Innovation to Universities 2.0(the 111 Project of China 2.0,No.BP0719037)。
文摘The martensitic transformation,mechanical,and magnetic properties of the Ni_(2)Mn_(1.5-x)Cu_(x)Ti_(0.5) (x=0.125,0.25,0.375,0.5) and Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5)[(x=0.125,y=0.125,0.25,0.375,0.5) and (x=0.125,0.25,0.375,y=0.625)]alloys were systematically studied by the first-principles calculations.For the formation energy,the martensite is smaller than the austenite,the Ni–(Co)–Mn–Cu–Ti alloys studied in this work can undergo martensitic transformation.The austenite and non-modulated (NM) martensite always present antiferromagnetic state in the Ni_(2)Mn_(1.5-x)Cu_(x)Ti_(0.5) and Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5) (y<0.625) alloys.When y=0.625 in the Ni_(2-y)Co_(y)Mn_(1.5-x)Cu_(x)Ti_(0.5) series,the austenite presents ferromagnetic state while the NM martensite shows antiferromagnetic state.Cu doping can decrease the thermal hysteresis and anisotropy of the Ni–(Co)–Mn–Ti alloy.Increasing Mn and decreasing Ti content can improve the shear resistance and normal stress resistance,but reduce the toughness in the Ni–Mn–Cu–Ti alloy.And the ductility of the Co–Cu co-doping alloy is inferior to that of the Ni–Mn–Cu–Ti and Ni–Co–Mn–Ti alloys.The electronic density of states was studied to reveal the essence of the mechanical and magnetic properties.
基金financially supported by the National Key R&D Program of China(2022YFF1100600,2022YFF1100605)the Science and Technology Support Program(Modern Agriculture)of Jiangsu Province(BE2022323)the National Natural Science Foundation of China(32302011)。
文摘Resistant starch(RS)has attracted much researchers'attention because of its health-beneficial effects.Gut microbiota obviously shapes human health,but the effects of RS supplementation on the changes of human gut microbiota remain unclear.This observational meta-analysis aimed to reveal the effects of RS intake onα-diversity and composition of gut microbiota through meta-analysis.Two independent authors systematically searched articles from inception until February 2023 on four electronic databases.Twenty-four highly relevant trials were included conforming to Preferred Reporting Items for Systematic reviews and MetaAnalysis protocol,and a total of 816 individuals were included.Significant heterogeneity analyses revealed that RS intake notably decreased Shannon index(weighted mean difference(WMD):-0.11;95%confidence interval(CI):-0.21,-0.01),and stimulated the composition of health promoting bacteria genera,including Bifidobacterium(relative abundance:WMD:1.75;95%CI:0.39,3.11;bacterial populations:WMD:0.36;95%CI:0.04,0.69),Faecalibacterium(relative abundance:WMD:0.70;95%CI:0.20,1.20;fold change:effect size:0.91;95%CI:0.60,1.23),and Prevotella(relative abundance:WMD:0.35;95%CI:0.01,0.69).Taken together,the present study revealed that changes in the gut microbiota diversity and genera were correlated with RS supplementation,which may contribute to benefits in human health.
基金supported in part by the National Key Research and Development Program of China(No.2018YFB2201702)the National Natural Science Foundation of China(Nos.U21A20507 and 62005228)the Fundamental Research Funds for the Central Universities(No.2682021CX050)。
文摘We experimentally demonstrated the use of intelligent impairment equalization(IIE)for microwave downconversion link linearization in noncooperative systems.Such an equalizer is realized based on an artificial neural network(ANN).Once the training process is completed,the inverse link transfer function can be determined.With the inverse transformation for the detected signal after transmission,the third-order intermodulation distortion components are suppressed significantly without requiring any prior information from an input RF signal.Furthermore,fast training speed is achieved,since the configuration of ANN-based equalizer is simple.Experimental results show that the spurious-free dynamic range of the proposed link is improved to 106.5 dB·Hz^(2/3),which is 11.3 dB higher than that of a link without IIE.Meanwhile,the training epochs reduce to only five,which has the potential to meet the practical engineering requirement.
基金supported by the Open Research Projects of Zhejiang Lab(2021KE0AB04)the Technology Innovation Project of Hubei Province of China(2019AEA171)+1 种基金the National Social Science Foundation of China(19ZDA104 and 20AZD089)the Independent Innovation Research Fund of Huazhong University of Science and Technology(2020WKZDJC004).Author contributions。
文摘Physiological computing uses human physiological data as system inputs in real time.It includes,or significantly overlaps with,brain-computer interfaces,affective computing,adaptive automation,health informatics,and physiological signal based biometrics.Physiological computing increases the communication bandwidth from the user to the computer,but is also subject to various types of adversarial attacks,in which the attacker deliberately manipulates the training and/or test examples to hijack the machine learning algorithm output,leading to possible user confusion,frustration,injury,or even death.However,the vulnerability of physiological computing systems has not been paid enough attention to,and there does not exist a comprehensive review on adversarial attacks to them.This study fills this gap,by providing a systematic review on the main research areas of physiological computing,different types of adversarial attacks and their applications to physiological computing,and the corresponding defense strategies.We hope this review will attract more research interests on the vulnerability of physiological computing systems,and more importantly,defense strategies to make them more secure.
基金funding support from the U.S.National Science Foundation(CDSE-2102592).
文摘Polymers play an integral role in various applications,from everyday use to advanced technologies.In the era of machine learning(ML),polymer informatics has become a vital field for efficiently designing and developing polymeric materials.However,the focus of polymer informatics has predominantly centered on single-component polymers,leaving the vast chemical space of polymer blends relatively unexplored.This study employs a high-throughput molecular dynamics(MD)simulation combined with active learning(AL)to uncover polymer blends with enhanced thermal conductivity(TC)compared to the constituent single-component polymers.Initially,the TC of about 600 amorphous single-component polymers and 200 amorphous polymer blends with varying blending ratios are determined through MD simulations.The optimal representation method for polymer blends is identified,which involves a weighted sum approach that extends existing polymer representation from single-component polymers to polymer blends.An AL framework,combining MD simulation and ML,is employed to explore the TC of approximately 550,000 unlabeled polymer blends.The AL framework proves highly effective in accelerating the discovery of high-performance polymer blends for thermal transport.Additionally,we delve into the relationship between TC,radius of gyration(Rg),and hydrogen bonding,highlighting the roles of inter-and intra-chain interactions in thermal transport in amorphous polymer blends.A significant positive association between TC and Rg improvement and an indirect contribution from H-bond interaction to TC enhancement are revealed through a log-linear model and an odds ratio calculation,emphasizing the impact of increasingRg and H-bond interactions on enhancing polymer blend TC.
