At high count rates,pile-up events involving neutron and gamma signals result in inaccurate neutron counting and distortions in the energy spectrum.Additionally,a bipolar cusp-like pulse shaping algorithm based on an ...At high count rates,pile-up events involving neutron and gamma signals result in inaccurate neutron counting and distortions in the energy spectrum.Additionally,a bipolar cusp-like pulse shaping algorithm based on an unfolding synthesis technique was proposed.This algorithm exhibits a narrow pulse shape,and the parallel design of the dual algorithms enables the recovery of pile-up signal amplitudes while preserving the distinct characteristics of neutron and gamma signals.The simplicity of the algorithm facilitates real-time neutron/gamma discrimination on an FPGA,allowing the energy spectra to be updated with each incoming signal.Furthermore,the algorithm can be readily tailored to various experimental conditions by adjusting the decay time constants.Multi-objective optimization reduces the need for manual parameter tuning by rapidly identifying the optimal parameters.Testing with a^(241)Am-Be neutron source and a NaIL scintillator yielded a figure of merit(FoM)value of 2.11 and produced a clear energy spectrum even at high count rates.展开更多
Cortico-thalamic projections(the hyper-direct pathway)are implicated in levodopa-induced dyskinesia(LID),a challenging complication in the advanced stages of Parkinson’s disease(PD).Excessive beta and gamma activity ...Cortico-thalamic projections(the hyper-direct pathway)are implicated in levodopa-induced dyskinesia(LID),a challenging complication in the advanced stages of Parkinson’s disease(PD).Excessive beta and gamma activity in PD and LID has frequently been reported in recent cross-sectional studies.We aimed to investigate the temporal features of beta and gamma activity in the hyper-direct pathway during the development of PD and LID in rats,as well as the regulatory role of the dopamine receptors DI(D1Rs)and DIII(D3Rs)in these disorders.We recorded motor behavior and electrophysiological data during the development of PD and LID,and after interventions with D1R and D3R antagonists and agonists.We demonstrated exaggerated beta-band activity in the PD state and excessive gamma-band activity during on-state dyskinesia.Subsequently,process-dependent increased beta activity correlated with bradykinesia during PD modeling,while process-dependent increased gamma activity correlated with dyskinesia under the cumulative effects of levodopa during on-state dyskinesia.Finally,both D1Rs and D3Rs were found to be involved in regulating dyskinesia and gamma activity.Dynamic oscillations are closely associated with motor behavior,and mapping dynamic oscillations may be associated with optimizing deep brain stimulation parameters and developing personalized neurotherapeutic targeting.Moreover,D1Rs and D3Rs may ameliorate dyskinesia by mediating gamma oscillations.展开更多
We conducted a field campaign to investigate the chemical composition,sources,and light absorption of submicron aerosols(PM_(1))from early 2022 in Nanjing,China.The average concentration of PM_(1) was 31μg m^(−3),org...We conducted a field campaign to investigate the chemical composition,sources,and light absorption of submicron aerosols(PM_(1))from early 2022 in Nanjing,China.The average concentration of PM_(1) was 31μg m^(−3),organics(33%)constituted the largest fraction,followed by nitrate(30%),sulfate(18%),ammonium(15%),chloride(3%),and rBC(2%).Four organic aerosol(OA)subcomponents were identified,including two primary OA(POA)and two secondary OA(SOA).The less-oxidized SOA(LO-OOA)contributes the most to the total OA mass(59%).LO-OOA is tightly correlated with the tracer ion C_(2)H_(4)O_(2)^(+)from levoglucosan,and another aged biomass-burning derived species,K_(3)SO_(4)^(+),suggesting it was likely influenced by aged biomass-burning OA.Our study also revealed that fireworks during the Spring Festival have a detrimental impact on air quality,contributing to secondary formation and accumulation under static winter meteorological conditions,prolonging the pollution duration.Also,LO-OOA was found to have the strongest light-absorbing ability.Our results highlight that the light absorption of LO-OOA can mainly be attributed to the C_(x)H_(y)N^(+) family,increased with the double-bond equivalent value.The more-oxidized SOA(MO-OOA)exhibited a negligible light absorption and was strongly correlated with daytime photochemical processes,implying a light-bleaching effect.This study enhances our understanding of the regional contribution of biomass combustion and fireworks to PM_(1) pollution in Nanjing,a typical megacity in the Yangtze River Delta region,during winter,aiding in the development of strategies for long-term air quality improvement in the region.展开更多
The Yangtze River Delta(YRD)is one of China’s most economically dense regions with the most dynamic county-level economies.The YRD’s success in addressing air pollution at the county level directly affects the ecolo...The Yangtze River Delta(YRD)is one of China’s most economically dense regions with the most dynamic county-level economies.The YRD’s success in addressing air pollution at the county level directly affects the ecological security of the Yangtze River Economic Belt.This study utilizes panel data of 151 counties in the YRD from 2003 to 2022.It regards the expansion of members of the YRD Urban Economic Coordination Council as a quasi-natural experiment.This study analyzes the influence of regional integration on county-level air pollution using the difference-in-differences approach,the synthetic difference-in-differences methodology,and spatial econometrics.Our findings indicate that:(1)regional integration can significantly reduce air pollution at the county level;(2)the environmental impact of regional integration is heterogeneous,influenced by regional differences,administrative constraints,and industrial foundations;and(3)regional integration reduces air pollution through advancing industrial structure and technological innovation,along with spatial spillover impacts.Therefore,policymakers should attach importance to air quality governance in counties,deepen regional integration strategies,optimize industrial structures,enhance technological innovation,and strengthen collaborative environmental governance to continuously promote regional sustainable development.展开更多
The early developmental period is a critical window during which brain cells mature and contribute to both brain development and later life functions.Gamma-aminobutyric acid(GABA),recognized as a major neurotransmitte...The early developmental period is a critical window during which brain cells mature and contribute to both brain development and later life functions.Gamma-aminobutyric acid(GABA),recognized as a major neurotransmitter,plays a crucial role in coordinating synapse formation,neuronal proliferation,and migration during this time.展开更多
基于TSMC 65 nm 1.2 V CMOS工艺,设计了一款低功耗Sigma-Delta模数转换器(analog-to-digital converter, ADC)。调制器采用离散时间二阶前馈反馈型积分器级联(cascade of integrators with feed-forward and feedback, CIFFB)结构,其中...基于TSMC 65 nm 1.2 V CMOS工艺,设计了一款低功耗Sigma-Delta模数转换器(analog-to-digital converter, ADC)。调制器采用离散时间二阶前馈反馈型积分器级联(cascade of integrators with feed-forward and feedback, CIFFB)结构,其中第一级积分器创新性地结合了双采样技术与相关电平移位(correlated level shifting, CLS)技术,并采用两级浮动反向动态放大器(floating inverter amplifier, FIA)以降低功耗。数字滤波器采用三级CIC滤波器与五阶切比雪夫Ⅱ型IIR低通滤波器级联的结构,避免了传统结构中的CIC补偿滤波器和半带滤波器,减少了寄存器占用。仿真结果表明,该ADC在信号带宽为125 Hz、过采样率为512的条件下,信噪比达到108 dB,有效位数为17.65 bit,调制器功耗仅为5.5μW。展开更多
As a novel class of purely organic fluores-cent materials,multiple resonance thermal-ly activated delayed fluorescence(MR-TADF)compounds hold significant promise for next-generation display technologies.The efficiency...As a novel class of purely organic fluores-cent materials,multiple resonance thermal-ly activated delayed fluorescence(MR-TADF)compounds hold significant promise for next-generation display technologies.The efficiency of exciton utilization and the overall performance of organic light-emit-ting devices are closely linked to the singlet-triplet energy gap(ΔE_(ST))of MR-TADF emitters.Identifying an economic and accu-rate theoretical approach to predictΔE_(ST)would be beneficial for high-throughput screening and facilitate the inverse design of MR-TADF molecules.In this study,we evaluated the S_(1)state energy(E(S_(1))),T_(1)state ener-gy(E(T_(1))),andΔE_(ST)using three different physical interpretations:adiabatic excitation ener-gy,vertical absorption energy,and vertical emission energy.We employed the time-depen-dent density functional theory(TDDFT)and delta self-consistent field(ΔSCF)methods to calculate E(S_(1)),E(T_(1)),andΔE_(ST)for 20 MR-TADF molecules reported in the literature.We compared these calculated values with experimental data obtained from fluorescence spec-troscopy at room-temperature(or 77 K)and phosphorescence spectroscopy conducted at 77 K.Our findings indicate that the vertical absorption energy at the S0 state minimum,deter-mined by theΔSCF method,accurately predicts the S_(1)state energy.Similarly,the vertical absorption energy at the S0 state minimum,calculated using the TDDFT method,effectively predicts the T_(1)state energy.TheΔE_(ST)derived from the difference between these two excita-tion energies exhibited the smallest mean absolute error of only 0.039 eV compared to the ex-perimental values.This combination represents the most accurate and cost-effective method reported to date for predicting theΔE_(ST)of MR-TADF molecules,and can be integrated into AI-driven inverse design workflows for new emitters.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)(No.12075308)。
文摘At high count rates,pile-up events involving neutron and gamma signals result in inaccurate neutron counting and distortions in the energy spectrum.Additionally,a bipolar cusp-like pulse shaping algorithm based on an unfolding synthesis technique was proposed.This algorithm exhibits a narrow pulse shape,and the parallel design of the dual algorithms enables the recovery of pile-up signal amplitudes while preserving the distinct characteristics of neutron and gamma signals.The simplicity of the algorithm facilitates real-time neutron/gamma discrimination on an FPGA,allowing the energy spectra to be updated with each incoming signal.Furthermore,the algorithm can be readily tailored to various experimental conditions by adjusting the decay time constants.Multi-objective optimization reduces the need for manual parameter tuning by rapidly identifying the optimal parameters.Testing with a^(241)Am-Be neutron source and a NaIL scintillator yielded a figure of merit(FoM)value of 2.11 and produced a clear energy spectrum even at high count rates.
基金supported by the Non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences(2020-PT310-01).
文摘Cortico-thalamic projections(the hyper-direct pathway)are implicated in levodopa-induced dyskinesia(LID),a challenging complication in the advanced stages of Parkinson’s disease(PD).Excessive beta and gamma activity in PD and LID has frequently been reported in recent cross-sectional studies.We aimed to investigate the temporal features of beta and gamma activity in the hyper-direct pathway during the development of PD and LID in rats,as well as the regulatory role of the dopamine receptors DI(D1Rs)and DIII(D3Rs)in these disorders.We recorded motor behavior and electrophysiological data during the development of PD and LID,and after interventions with D1R and D3R antagonists and agonists.We demonstrated exaggerated beta-band activity in the PD state and excessive gamma-band activity during on-state dyskinesia.Subsequently,process-dependent increased beta activity correlated with bradykinesia during PD modeling,while process-dependent increased gamma activity correlated with dyskinesia under the cumulative effects of levodopa during on-state dyskinesia.Finally,both D1Rs and D3Rs were found to be involved in regulating dyskinesia and gamma activity.Dynamic oscillations are closely associated with motor behavior,and mapping dynamic oscillations may be associated with optimizing deep brain stimulation parameters and developing personalized neurotherapeutic targeting.Moreover,D1Rs and D3Rs may ameliorate dyskinesia by mediating gamma oscillations.
基金support from the Natural Science Foundation of Jiangsu Province(Grant No.BK20240036)the National Natural Science Foundation of China(Grant Nos.U24A20515,22276099,and 22361162668)Guangxi Key Research and Development Program,China(Grant No.Guike AB24010074)。
文摘We conducted a field campaign to investigate the chemical composition,sources,and light absorption of submicron aerosols(PM_(1))from early 2022 in Nanjing,China.The average concentration of PM_(1) was 31μg m^(−3),organics(33%)constituted the largest fraction,followed by nitrate(30%),sulfate(18%),ammonium(15%),chloride(3%),and rBC(2%).Four organic aerosol(OA)subcomponents were identified,including two primary OA(POA)and two secondary OA(SOA).The less-oxidized SOA(LO-OOA)contributes the most to the total OA mass(59%).LO-OOA is tightly correlated with the tracer ion C_(2)H_(4)O_(2)^(+)from levoglucosan,and another aged biomass-burning derived species,K_(3)SO_(4)^(+),suggesting it was likely influenced by aged biomass-burning OA.Our study also revealed that fireworks during the Spring Festival have a detrimental impact on air quality,contributing to secondary formation and accumulation under static winter meteorological conditions,prolonging the pollution duration.Also,LO-OOA was found to have the strongest light-absorbing ability.Our results highlight that the light absorption of LO-OOA can mainly be attributed to the C_(x)H_(y)N^(+) family,increased with the double-bond equivalent value.The more-oxidized SOA(MO-OOA)exhibited a negligible light absorption and was strongly correlated with daytime photochemical processes,implying a light-bleaching effect.This study enhances our understanding of the regional contribution of biomass combustion and fireworks to PM_(1) pollution in Nanjing,a typical megacity in the Yangtze River Delta region,during winter,aiding in the development of strategies for long-term air quality improvement in the region.
基金sponsored by Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project[Grant No.2024ZD1002001]National Social Science Foundation of China[Grant No.24VHQ005],National Natural Science Foundation of China[Grant No.72403050]the Fundamental Research Funds for the Central Universities[Grant No.2-9-2023-039].
文摘The Yangtze River Delta(YRD)is one of China’s most economically dense regions with the most dynamic county-level economies.The YRD’s success in addressing air pollution at the county level directly affects the ecological security of the Yangtze River Economic Belt.This study utilizes panel data of 151 counties in the YRD from 2003 to 2022.It regards the expansion of members of the YRD Urban Economic Coordination Council as a quasi-natural experiment.This study analyzes the influence of regional integration on county-level air pollution using the difference-in-differences approach,the synthetic difference-in-differences methodology,and spatial econometrics.Our findings indicate that:(1)regional integration can significantly reduce air pollution at the county level;(2)the environmental impact of regional integration is heterogeneous,influenced by regional differences,administrative constraints,and industrial foundations;and(3)regional integration reduces air pollution through advancing industrial structure and technological innovation,along with spatial spillover impacts.Therefore,policymakers should attach importance to air quality governance in counties,deepen regional integration strategies,optimize industrial structures,enhance technological innovation,and strengthen collaborative environmental governance to continuously promote regional sustainable development.
基金supported by the Center for Cognition and Sociality,Institute for Basic Science(IBS)(IBS-R001-D2)(to WK).
文摘The early developmental period is a critical window during which brain cells mature and contribute to both brain development and later life functions.Gamma-aminobutyric acid(GABA),recognized as a major neurotransmitter,plays a crucial role in coordinating synapse formation,neuronal proliferation,and migration during this time.
基金support provided by the National Natural Science Foundation of China(No.22273043).
文摘As a novel class of purely organic fluores-cent materials,multiple resonance thermal-ly activated delayed fluorescence(MR-TADF)compounds hold significant promise for next-generation display technologies.The efficiency of exciton utilization and the overall performance of organic light-emit-ting devices are closely linked to the singlet-triplet energy gap(ΔE_(ST))of MR-TADF emitters.Identifying an economic and accu-rate theoretical approach to predictΔE_(ST)would be beneficial for high-throughput screening and facilitate the inverse design of MR-TADF molecules.In this study,we evaluated the S_(1)state energy(E(S_(1))),T_(1)state ener-gy(E(T_(1))),andΔE_(ST)using three different physical interpretations:adiabatic excitation ener-gy,vertical absorption energy,and vertical emission energy.We employed the time-depen-dent density functional theory(TDDFT)and delta self-consistent field(ΔSCF)methods to calculate E(S_(1)),E(T_(1)),andΔE_(ST)for 20 MR-TADF molecules reported in the literature.We compared these calculated values with experimental data obtained from fluorescence spec-troscopy at room-temperature(or 77 K)and phosphorescence spectroscopy conducted at 77 K.Our findings indicate that the vertical absorption energy at the S0 state minimum,deter-mined by theΔSCF method,accurately predicts the S_(1)state energy.Similarly,the vertical absorption energy at the S0 state minimum,calculated using the TDDFT method,effectively predicts the T_(1)state energy.TheΔE_(ST)derived from the difference between these two excita-tion energies exhibited the smallest mean absolute error of only 0.039 eV compared to the ex-perimental values.This combination represents the most accurate and cost-effective method reported to date for predicting theΔE_(ST)of MR-TADF molecules,and can be integrated into AI-driven inverse design workflows for new emitters.
