ASEAN-China Centre(ACC)is an inter-governmental organization co-founded by 10 ASEAN Member States(AMS)and China.ACC was officially launched at the Commemorative Summit marking the 20th anniversary of ASEAN-China dialo...ASEAN-China Centre(ACC)is an inter-governmental organization co-founded by 10 ASEAN Member States(AMS)and China.ACC was officially launched at the Commemorative Summit marking the 20th anniversary of ASEAN-China dialogue relations on 18 November 2011.ACC Secretariat is located in Beijing.The current Secretary-General is H.E.Mr.Shi Zhongjun.The establishment of ACC reflects the fruitful development of ASEAN-China relations and the strategic vision of the leaders of both sides.As a one-stop information and activities centre,ACC is committed to promoting friendly exchanges and practical cooperation between ASEAN and China in various fields including trade,investment,education,culture,tourism,and information and media.展开更多
The present study investigated the genetic diversity of 24 germplasms of Polianthes tuberosa L.via 16 inter simple sequence repeat(ISSR)marker techniques.The research findings revealed that the ISSR markers presented ...The present study investigated the genetic diversity of 24 germplasms of Polianthes tuberosa L.via 16 inter simple sequence repeat(ISSR)marker techniques.The research findings revealed that the ISSR markers presented higher levels of band reproducibility andweremore efficient at clustering germplasms.Among the 16markers examined in this study,12 had a complete polymorphism rate of 100%.Themolecular analysis revealed a PICranging from0.079 to 0.373,with amean value of 0.30,whereas the range of themarker index was from0.0001 to 0.409,with an average value of 0.03,and the primer resolving power ranged from 0.173 to 4.173,with a mean value of 2.02.The UPGMA clustering dendrogram indicated that all 24 germplasms were grouped into three main clusters.The study revealed a variable range of tree distances between 0.185 and 0.621,with the highest tree distance(0.621)detected between germplasms BR-24 and BR-1.Through these studies,the dissimilarity among the germplasms was evaluated,and diverse parents were identified for further crop improvement programs.展开更多
Dear editor,As of 2023,the domestic cat population in China reached 65 million,surpassing dogs to become the most numerous companion animal in the country.Feline calicivirus(FCV)infection,one of the three most prevale...Dear editor,As of 2023,the domestic cat population in China reached 65 million,surpassing dogs to become the most numerous companion animal in the country.Feline calicivirus(FCV)infection,one of the three most prevalent infectious diseases in cats,poses a severe threat to feline health.FCV,classified under the Caliciviridae family(genus Vesivirus).展开更多
Parkinson's disease(PD)is the second most prevalent neurodegenerative disorder after Alzheimer's disease(AD),and currently,no disease-modifying therapies are available[1].A key pathological hallmark of PD is t...Parkinson's disease(PD)is the second most prevalent neurodegenerative disorder after Alzheimer's disease(AD),and currently,no disease-modifying therapies are available[1].A key pathological hallmark of PD is the presence of Lewy bodies,which are primarily composed of aggregatedα-synuclein(α-syn)[2].The misfolding,self-aggregation,and inter-neuronal propagation of pathologicalα-syn,likely via a prion-like mechanism,are thought to drive the progressive degeneration of dopaminergic neurons and contribute to disease progression[3].However,the molecular mechanisms governing the neuronal uptake and inter-neuronal transmission ofα-syn remain inadequately understood.展开更多
Increasing the number of atoms that interact with microwave fields represents a promising strategy for enhancing the sensitivity of Rydberg atom-based superheterodyne receivers.Nevertheless,the practical implementatio...Increasing the number of atoms that interact with microwave fields represents a promising strategy for enhancing the sensitivity of Rydberg atom-based superheterodyne receivers.Nevertheless,the practical implementation of this approach is impeded by adverse effects such as excitation saturation of Rydberg atoms and power broadening.Here,we demonstrate enhanced microwave field measurements based on two specific velocity groups of atoms,simultaneously addressed by dual-channel probe beams in a Sagnac loop interferometer.The application of resonance detuning in two-photon excitation enables selective addressing of atoms moving along the beam direction,thereby significantly mitigating atomic transit noise.At 7.97 GHz,our method yields a 3 dB improvement in signal-to-noise ratio(SNR),achieving a sensitivity of 10.7 nV·cm^(−1)·Hz^(−1/2).This approach offers a viable pathway to further improve the sensitivity of Rydberg atom-based microwave electrometers.展开更多
Preterm birth and suboptimal fetal growth remain significant perinatal challenges worldwide.Recent data indicate that China's perinatal profile has improved due to reductions in preterm birth rates.However,the cou...Preterm birth and suboptimal fetal growth remain significant perinatal challenges worldwide.Recent data indicate that China's perinatal profile has improved due to reductions in preterm birth rates.However,the country has a 6.5%prevalence of small-for-gestational-age(SGA),ranking fifth globally in total SGA birth numbers^([1,2]).展开更多
Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emerg...Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.展开更多
文摘ASEAN-China Centre(ACC)is an inter-governmental organization co-founded by 10 ASEAN Member States(AMS)and China.ACC was officially launched at the Commemorative Summit marking the 20th anniversary of ASEAN-China dialogue relations on 18 November 2011.ACC Secretariat is located in Beijing.The current Secretary-General is H.E.Mr.Shi Zhongjun.The establishment of ACC reflects the fruitful development of ASEAN-China relations and the strategic vision of the leaders of both sides.As a one-stop information and activities centre,ACC is committed to promoting friendly exchanges and practical cooperation between ASEAN and China in various fields including trade,investment,education,culture,tourism,and information and media.
基金funded by Uttar Banga Krishi Viswavidyalaya,IndiaBangladesh Wheat and Maize Research Institute,Dinajpur 5200,Bangladeshfunded by Taif University,Saudi Arabia,Project No.(TU-DSPP-2025-30).
文摘The present study investigated the genetic diversity of 24 germplasms of Polianthes tuberosa L.via 16 inter simple sequence repeat(ISSR)marker techniques.The research findings revealed that the ISSR markers presented higher levels of band reproducibility andweremore efficient at clustering germplasms.Among the 16markers examined in this study,12 had a complete polymorphism rate of 100%.Themolecular analysis revealed a PICranging from0.079 to 0.373,with amean value of 0.30,whereas the range of themarker index was from0.0001 to 0.409,with an average value of 0.03,and the primer resolving power ranged from 0.173 to 4.173,with a mean value of 2.02.The UPGMA clustering dendrogram indicated that all 24 germplasms were grouped into three main clusters.The study revealed a variable range of tree distances between 0.185 and 0.621,with the highest tree distance(0.621)detected between germplasms BR-24 and BR-1.Through these studies,the dissimilarity among the germplasms was evaluated,and diverse parents were identified for further crop improvement programs.
基金supported by grants from the National Key Research and Development Program of China(Grant No.2022YFD1800100)National Natural Science Foundation of China(Grant No.32272982)Natural Science Foundation of Shanghai(Grant No.23ZR1477100).
文摘Dear editor,As of 2023,the domestic cat population in China reached 65 million,surpassing dogs to become the most numerous companion animal in the country.Feline calicivirus(FCV)infection,one of the three most prevalent infectious diseases in cats,poses a severe threat to feline health.FCV,classified under the Caliciviridae family(genus Vesivirus).
基金supported by the Natural Science Foundation of Liaoning Province,China(2023-MSLH-029).
文摘Parkinson's disease(PD)is the second most prevalent neurodegenerative disorder after Alzheimer's disease(AD),and currently,no disease-modifying therapies are available[1].A key pathological hallmark of PD is the presence of Lewy bodies,which are primarily composed of aggregatedα-synuclein(α-syn)[2].The misfolding,self-aggregation,and inter-neuronal propagation of pathologicalα-syn,likely via a prion-like mechanism,are thought to drive the progressive degeneration of dopaminergic neurons and contribute to disease progression[3].However,the molecular mechanisms governing the neuronal uptake and inter-neuronal transmission ofα-syn remain inadequately understood.
基金supported by the National Key R&D Program of China(Grant No.2022YFA1404003)the National Natural Science Foundation of China(Grant Nos.T2495252,12104279,and 123B2062)+2 种基金the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0302100)the Fund for Shanxi“1331 Project”Key Subjects Constructionthe Bairen Project of Shanxi Province。
文摘Increasing the number of atoms that interact with microwave fields represents a promising strategy for enhancing the sensitivity of Rydberg atom-based superheterodyne receivers.Nevertheless,the practical implementation of this approach is impeded by adverse effects such as excitation saturation of Rydberg atoms and power broadening.Here,we demonstrate enhanced microwave field measurements based on two specific velocity groups of atoms,simultaneously addressed by dual-channel probe beams in a Sagnac loop interferometer.The application of resonance detuning in two-photon excitation enables selective addressing of atoms moving along the beam direction,thereby significantly mitigating atomic transit noise.At 7.97 GHz,our method yields a 3 dB improvement in signal-to-noise ratio(SNR),achieving a sensitivity of 10.7 nV·cm^(−1)·Hz^(−1/2).This approach offers a viable pathway to further improve the sensitivity of Rydberg atom-based microwave electrometers.
基金funded by the Natural Science Foundation of Hunan Province(grant number 2024JJ5283 to XH)。
文摘Preterm birth and suboptimal fetal growth remain significant perinatal challenges worldwide.Recent data indicate that China's perinatal profile has improved due to reductions in preterm birth rates.However,the country has a 6.5%prevalence of small-for-gestational-age(SGA),ranking fifth globally in total SGA birth numbers^([1,2]).
基金supported by the National Natural Science Foundation of China(No.62376197)the Tianjin Science and Technology Program(No.23JCYBJC00360)the Tianjin Health Research Project(No.TJWJ2025MS045).
文摘Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.
