In his speech,Han Zheng said that exchanges and mutual learning among civilisations are important driving forces for the advancement of human civilisation as well as world peace and development.President Xi Jinping po...In his speech,Han Zheng said that exchanges and mutual learning among civilisations are important driving forces for the advancement of human civilisation as well as world peace and development.President Xi Jinping pointed out that civilisations become richer and more colourful with exchanges and mutual learning.As the futures of all countries are closely interconnected,inclusiveness,coexistence,exchanges and mutual learning among different civilisations will contribute to the common progress of humanity and promote global prosperity and development.展开更多
Tolerance,coexistence,exchanges and mutual learning among different civilisations play an irreplaceable role in advancing humanity's modernisation process when the future of all countries are closely connected.
The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,schola...The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,scholars and experts to discuss the significance of exchanges and dialogues between different civilisations in a world facing many conflicts.展开更多
Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a l...Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a local school and sat in on several classes,”he recalled.“The math lessons stood out—the students’intensity and focus were striking.In Singapore,we study hard,but this was on another level.”That early glimpse into China’s education system stayed with him,and years later,it resurfaced as he began to engage more deeply with the Chinese language and culture.A pocket-sized wuxia xiaoshuo(martial arts novel),picked up on a whim in a Guangzhou bookstore,opened the door to martial arts fiction—and sparked a lasting interest in Chinese literature and,eventually,China Studies.展开更多
In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly effi...In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly efficacious approach to enhance the teaching level of experimental courses in medicinal botany.The implementation of a digital microscope mutual system in experimental teaching not only enhances students practical skills in laboratory operations but also increases classroom efficiency.Furthermore,it supports personalized development among students while fostering innovative thinking,independent learning capabilities,and analysis and problem-solving skills.Additionally,this approach contributes to the enhancement of students scientific literacy.展开更多
Transition metal carbonates(TMCs)hold great potential as high-performance electrodes for alkali metal-ion batteries,owing to multiple-ion storage mechanisms involving conversion process and electrocatalytic reaction.H...Transition metal carbonates(TMCs)hold great potential as high-performance electrodes for alkali metal-ion batteries,owing to multiple-ion storage mechanisms involving conversion process and electrocatalytic reaction.However,they still suffer from inferior electronic conductivity and volume variation during delithiation/lithiation.Heterostructure and heteroatoms doping offer immense promise in enhancing reaction kinetics and structural integrity,which unfortunately have not been achieved in TMCs.Herein,a unique TMCs heterostructure with Ni-doped MnCO_(3)as“core”and Mn-doped NiCO_(3)as“shell”,which is wrapped by graphene(NM@MN/RGO),is achieved by cations differentiation strategy.The formation process for core-shell NM@MN consists of epitaxial growth of NiCO_(3)from MnCO_(3)and synchronously mutual doping,owing to the similar crystal structures but different solubility product constant/formation energy of MnCO_(3)and NiCO_(3).In-situ electrochemical impedance spectroscopy,galvanostatic intermittent titration technique,differential capacity versus voltage plots,theoretical calculation and kinetic analysis reveal the superior electrochemical activity of the NM@MN/RGO to MnCO_(3)/RGO.The NM@MN/RGO shows excellent lithium storage properties(1013.4 mAh·g^(-1)at 0.1 A·g^(-1)and 760 mAh·g^(-1)after 1000 cycles at 2 A·g^(-1))and potassium storage properties(capacity decay rate of 0.114 mAh·g^(-1)per cycle).This work proposes an efficient cation differentiation strategy for constructing advanced TMC electrodes.展开更多
Although guided image filtering(GIF) is known for preserving edges and fast computation,it may produce inaccurate outputs in depth map restoration.In this paper,a novel confidence-weighted GIF called mutual-structure ...Although guided image filtering(GIF) is known for preserving edges and fast computation,it may produce inaccurate outputs in depth map restoration.In this paper,a novel confidence-weighted GIF called mutual-structure weighted GIF(MSWGIF) is proposed,which replaces the mean filtering strategy in GIF during handling overlapping windows.The confidence value is composed of a depth term and a mutual-structure term,where the depth term is utilized to protect the edges of the output,and the mutual-structure term helps to select accurate windows during the structure characteristics of the guidance image are transferred to the output.Experimental results show that MSWGIF reduces the root mean square error(RMSE) by an average of 12.37%,and the average growth rate of correlation(CORR) is 0.07% on average.Additionally,the average growth rate of structure similarity index measure(SSIM) is 0.34%.展开更多
In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making t...In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making them impractical for wearable devices.In this case,knowledge distillation has emerged as an effective method,capable of significantly reducing a model’s reliance on computational and storage resources.Nonetheless,previous research suffers from two limitations:1)the student model can only passively receive knowledge from the teacher model,and 2)the teacher model does not effectively model sample relationships during training,potentially hindering the effective transfer of sample relationship-related knowledge during knowledge distillation.To address these issues,we employ two identical student models,each equipped with a sample relationship module.This design ensures that the student models can mutually learn while modeling sample relationships.We conducted extensive experiments on the ISIC 2019 dataset to validate the effectiveness of our method.The results demonstrate that our approach significantly improves the recognition of various types of skin diseases.Compared to state-of-the-art methods,our approach exhibits higher accuracy and better generalization capabilities.展开更多
At the turn of the 21st century,specifically from 10 to 12 October 2000,the first Ministerial Conference of the Forum on China-Africa Cooperation(FOCAC)was held in Beijing,following prior consultations.More than 80 mi...At the turn of the 21st century,specifically from 10 to 12 October 2000,the first Ministerial Conference of the Forum on China-Africa Cooperation(FOCAC)was held in Beijing,following prior consultations.More than 80 ministers from China and 44 African countries attended.In a joint declaration issued at the end of the conference,both sides expressed strong appreciation for the stable development of Sino-African relations over the past decades,full confidence in future cooperation,and a shared belief that a solid foundation exists for friendly relations and collaboration,rooted in their long-standing traditional friendship.展开更多
For the history of medical culture in the world,the exchange and transmission of medical knowledge has formed an important part of mutual learning among different cultures,which has also increasingly shown unique acad...For the history of medical culture in the world,the exchange and transmission of medical knowledge has formed an important part of mutual learning among different cultures,which has also increasingly shown unique academic value in the study of knowledge history.Traditional Eastern medicine(such as Chinese medicine,Indian ayurvedic medicine,Persian medicine,Arabic medicine),and other medical systems in the ancient Western world(including Greek medicine and Roman medicine)have left precious literature/texts,cultural relics(for example,pills,preparations,medical instruments),folklore and legends,which truly record the process of learning,transplantation,fusion and succession after the encounter of different medical systems at least for the past two thousand years.展开更多
On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted b...On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by Beijing Language and Culture University.Leading Sinologists and Chinese culture researchers from Europe,Asia and Latin America gathered to discuss the theme of civilisational diversity and explore pathways for coexistence and mutual enrichment.展开更多
Purpose–This study aims to enhance the accuracy of key entity extraction from railway accident report texts and address challenges such as complex domain-specific semantics,data sparsity and strong inter-sentence sem...Purpose–This study aims to enhance the accuracy of key entity extraction from railway accident report texts and address challenges such as complex domain-specific semantics,data sparsity and strong inter-sentence semantic dependencies.A robust entity extraction method tailored for accident texts is proposed.Design/methodology/approach–This method is implemented through a dual-branch multi-task mutual learning model named R-MLP,which jointly performs entity recognition and accident phase classification.The model leverages a shared BERT encoder to extract contextual features and incorporates a sentence span indexing module to align feature granularity.A cross-task mutual learning mechanism is also introduced to strengthen semantic representation.Findings–R-MLP effectively mitigates the impact of semantic complexity and data sparsity in domain entities and enhances the model’s ability to capture inter-sentence semantic dependencies.Experimental results show that R-MLP achieves a maximum F1-score of 0.736 in extracting six types of key railway accident entities,significantly outperforming baseline models such as RoBERTa and MacBERT.Originality/value–This demonstrates the proposed method’s superior generalization and accuracy in domainspecific entity extraction tasks,confirming its effectiveness and practical value.展开更多
In the thousand-year-old mural of Mogao Grottoes in Dunhuang,a special symbol tells the story of exchanges among civilisations.Three Rabbits Sharing Three Ears depicts three rabbits chasing each other,with each two sh...In the thousand-year-old mural of Mogao Grottoes in Dunhuang,a special symbol tells the story of exchanges among civilisations.Three Rabbits Sharing Three Ears depicts three rabbits chasing each other,with each two sharing one ear.It is said that its earliest version appeared in Dunhuang in the 6th century,and it had travelled across the desert along the ancient Silk Road,over mountains and rivers,leaping onto British ceramic tiles,integrating into Egyptian pottery and jumping cross the clock faces of German churches.展开更多
To address the significant degradation of Space-Time Adaptive Processing(STAP)performance when the array elements have mutual coupling and gain/phase errors,a STAP algorithm with adaptive calibration for the above two...To address the significant degradation of Space-Time Adaptive Processing(STAP)performance when the array elements have mutual coupling and gain/phase errors,a STAP algorithm with adaptive calibration for the above two array errors is proposed in this article.First,based on a defined error matrix that simultaneously considers both array mutual coupling and gain/phase errors,a STAP signal model including these errors is given.Then,utilizing the defined signal model,it is demonstrated that the estimation of the defined error matrix can be formulized as a standard convex optimization problem with the low-rank structure of the clutter covariance matrix and the subspace projection theory.Once the defined error matrix is estimated by solving the convex optimization problem,it is illustrated that a STAP method with adaptive calibration of the mutual coupling and gain/phase errors is coined.Analyses also show that the proposed adaptive calibration algorithm only needs one training sample to construct the adaptive weight vector.Therefore,it can achieve a good detection performance even with severe non-homogeneous clutter environments.Finally,the simulation experiments verify the effectiveness of the proposed algorithm and the correctness of the analytical results.展开更多
In natural language processing(NLP),managing multiple downstream tasks through fine-tuning pre-trained models often requires maintaining separate task-specific models,leading to practical inefficiencies.To address thi...In natural language processing(NLP),managing multiple downstream tasks through fine-tuning pre-trained models often requires maintaining separate task-specific models,leading to practical inefficiencies.To address this challenge,we introduce AdaptForever,a novel approach that enables continuous mastery of NLP tasks through the integration of elastic and mutual learning strategies with a stochastic expert mechanism.Our method freezes the pre-trained model weights while incorporating adapters enhanced with mutual learning capabilities,facilitating effective knowledge transfer from previous tasks to new ones.By combining Elastic Weight Consolidation(EWC)for knowledge preservation with specialized regularization terms,AdaptForever successfully maintains performance on earlier tasks while acquiring new capabilities.Experimental results demonstrate that AdaptForever achieves superior performance across a continuous sequence of NLP tasks compared to existing parameter-efficient methods,while effectively preventing catastrophic forgetting and enabling positive knowledge transfer between tasks.展开更多
Machine-to-machine (M2M) communication networks consist of resource-constrained autonomous devices, also known as autonomous Internet of things (IoTs) or machine-type communication devices (MTCDs) which act as a backb...Machine-to-machine (M2M) communication networks consist of resource-constrained autonomous devices, also known as autonomous Internet of things (IoTs) or machine-type communication devices (MTCDs) which act as a backbone for Industrial IoT, smart cities, and other autonomous systems. Due to the limited computing and memory capacity, these devices cannot maintain strong security if conventional security methods are applied such as heavy encryption. This article proposed a novel lightweight mutual authentication scheme including elliptic curve cryptography (ECC) driven end-to-end encryption through curve25519 such as (i): efficient end-to-end encrypted communication with pre-calculation strategy using curve25519;and (ii): elliptic curve Diffie-Hellman (ECDH) based mutual authentication technique through a novel lightweight hash function. The proposed scheme attempts to efficiently counter all known perception layer security threats. Moreover, the pre-calculated key generation strategy resulted in cost-effective encryption with 192-bit curve security. It showed comparative efficiency in key strength, and curve strength compared with similar authentication schemes in terms of computational and memory cost, communication performance and encryption robustness.展开更多
Based on Katharina Reiss’s text typology theory from the German Functionalist School,this paper systematically explores the strategic differences and practical methods in the mutual translation between Chinese and Ja...Based on Katharina Reiss’s text typology theory from the German Functionalist School,this paper systematically explores the strategic differences and practical methods in the mutual translation between Chinese and Japanese for operative,informative,expressive,and informative+expressive text types.By comparatively analyzing the linguistic functions,communicative features,and cultural cognitive differences of these four text types,the study proposes targeted translation strategies:Operative texts require tone adjustment,localized adaptation,and pragmatic compensation to maximize appeal;informative texts emphasize sentence structure restructuring and terminology standardization to ensure information transfer efficiency;expressive texts focus on formal imitation and rhetorical reproduction to preserve the original aesthetic value;for informative+expressive texts,flexible handling of idioms,proverbs,and stylistic forms is necessary to achieve an optimal balance between informational accuracy and aesthetic form.The study validates the applicability of functionalist theory in Chinese-Japanese translation through empirical case studies,while also revealing the prevalence of mixed text functions and the consequent demand for translator strategic flexibility.These findings not only expand the explanatory dimension of Reiss’s theory,but also provide an operational methodological framework for cross-cultural translation practice,holding practical significance for promoting in-depth communication between China and Japan.展开更多
Studies show that Graph Neural Networks(GNNs)are susceptible to minor perturbations.Therefore,analyzing adversarial attacks on GNNs is crucial in current research.Previous studies used Generative Adversarial Networks ...Studies show that Graph Neural Networks(GNNs)are susceptible to minor perturbations.Therefore,analyzing adversarial attacks on GNNs is crucial in current research.Previous studies used Generative Adversarial Networks to generate a set of fake nodes,injecting them into a clean GNNs to poison the graph structure and evaluate the robustness of GNNs.In the attack process,the computation of new node connections and the attack loss are independent,which affects the attack on the GNN.To improve this,a Fake Node Camouflage Attack based on Mutual Information(FNCAMI)algorithm is proposed.By incorporating Mutual Information(MI)loss,the distribution of nodes injected into the GNNs become more similar to the original nodes,achieving better attack results.Since the loss ratios of GNNs and MI affect performance,we also design an adaptive weighting method.By adjusting the loss weights in real-time through rate changes,larger loss values are obtained,eliminating local optima.The feasibility,effectiveness,and stealthiness of this algorithm are validated on four real datasets.Additionally,we use both global and targeted attacks to test the algorithm’s performance.Comparisons with baseline attack algorithms and ablation experiments demonstrate the efficiency of the FNCAMI algorithm.展开更多
文摘In his speech,Han Zheng said that exchanges and mutual learning among civilisations are important driving forces for the advancement of human civilisation as well as world peace and development.President Xi Jinping pointed out that civilisations become richer and more colourful with exchanges and mutual learning.As the futures of all countries are closely interconnected,inclusiveness,coexistence,exchanges and mutual learning among different civilisations will contribute to the common progress of humanity and promote global prosperity and development.
文摘Tolerance,coexistence,exchanges and mutual learning among different civilisations play an irreplaceable role in advancing humanity's modernisation process when the future of all countries are closely connected.
文摘The Fourth Dialogue on Exchanges and Mutual Learning Among Civilisations was held in Dunhuang in Northwest China's Gansu Province on Friday,bringing together politicians,heads of international organisations,scholars and experts to discuss the significance of exchanges and dialogues between different civilisations in a world facing many conflicts.
文摘Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a local school and sat in on several classes,”he recalled.“The math lessons stood out—the students’intensity and focus were striking.In Singapore,we study hard,but this was on another level.”That early glimpse into China’s education system stayed with him,and years later,it resurfaced as he began to engage more deeply with the Chinese language and culture.A pocket-sized wuxia xiaoshuo(martial arts novel),picked up on a whim in a Guangzhou bookstore,opened the door to martial arts fiction—and sparked a lasting interest in Chinese literature and,eventually,China Studies.
基金Supported by Major Project of School-level Teaching Reform and Research of Guangxi University of Chinese Medicine(2022A006)。
文摘In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly efficacious approach to enhance the teaching level of experimental courses in medicinal botany.The implementation of a digital microscope mutual system in experimental teaching not only enhances students practical skills in laboratory operations but also increases classroom efficiency.Furthermore,it supports personalized development among students while fostering innovative thinking,independent learning capabilities,and analysis and problem-solving skills.Additionally,this approach contributes to the enhancement of students scientific literacy.
基金supported by the National Natural Science Foundation of China(NSFC)(Nos.52202371 and 51902102)the Natural Science Foundation of Shandong Province(Nos.ZR202211230173,ZR2020QE066 and ZR2021QE200)+2 种基金the Opening Project of State Key Laboratory of Advanced Technology for Float Glass(No.2020KF08)the SDUT&Zibo City Integration Development Project(No.2021SNPT0045)the fellowship of China Postdoctoral Science Foundation(No.2020M672081).
文摘Transition metal carbonates(TMCs)hold great potential as high-performance electrodes for alkali metal-ion batteries,owing to multiple-ion storage mechanisms involving conversion process and electrocatalytic reaction.However,they still suffer from inferior electronic conductivity and volume variation during delithiation/lithiation.Heterostructure and heteroatoms doping offer immense promise in enhancing reaction kinetics and structural integrity,which unfortunately have not been achieved in TMCs.Herein,a unique TMCs heterostructure with Ni-doped MnCO_(3)as“core”and Mn-doped NiCO_(3)as“shell”,which is wrapped by graphene(NM@MN/RGO),is achieved by cations differentiation strategy.The formation process for core-shell NM@MN consists of epitaxial growth of NiCO_(3)from MnCO_(3)and synchronously mutual doping,owing to the similar crystal structures but different solubility product constant/formation energy of MnCO_(3)and NiCO_(3).In-situ electrochemical impedance spectroscopy,galvanostatic intermittent titration technique,differential capacity versus voltage plots,theoretical calculation and kinetic analysis reveal the superior electrochemical activity of the NM@MN/RGO to MnCO_(3)/RGO.The NM@MN/RGO shows excellent lithium storage properties(1013.4 mAh·g^(-1)at 0.1 A·g^(-1)and 760 mAh·g^(-1)after 1000 cycles at 2 A·g^(-1))and potassium storage properties(capacity decay rate of 0.114 mAh·g^(-1)per cycle).This work proposes an efficient cation differentiation strategy for constructing advanced TMC electrodes.
基金supported by the National Key Research and Development Program of China (No.2019YFB2204302)。
文摘Although guided image filtering(GIF) is known for preserving edges and fast computation,it may produce inaccurate outputs in depth map restoration.In this paper,a novel confidence-weighted GIF called mutual-structure weighted GIF(MSWGIF) is proposed,which replaces the mean filtering strategy in GIF during handling overlapping windows.The confidence value is composed of a depth term and a mutual-structure term,where the depth term is utilized to protect the edges of the output,and the mutual-structure term helps to select accurate windows during the structure characteristics of the guidance image are transferred to the output.Experimental results show that MSWGIF reduces the root mean square error(RMSE) by an average of 12.37%,and the average growth rate of correlation(CORR) is 0.07% on average.Additionally,the average growth rate of structure similarity index measure(SSIM) is 0.34%.
基金supported by the Research Foundation of Yunnan Province No.202001BB050043 and 202105AF150011National Natural Science Foundation of China under Grants No.62162065Provincial Foundation for Leaders of Disciplines in Science and Technology No.2019HB121.
文摘In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making them impractical for wearable devices.In this case,knowledge distillation has emerged as an effective method,capable of significantly reducing a model’s reliance on computational and storage resources.Nonetheless,previous research suffers from two limitations:1)the student model can only passively receive knowledge from the teacher model,and 2)the teacher model does not effectively model sample relationships during training,potentially hindering the effective transfer of sample relationship-related knowledge during knowledge distillation.To address these issues,we employ two identical student models,each equipped with a sample relationship module.This design ensures that the student models can mutually learn while modeling sample relationships.We conducted extensive experiments on the ISIC 2019 dataset to validate the effectiveness of our method.The results demonstrate that our approach significantly improves the recognition of various types of skin diseases.Compared to state-of-the-art methods,our approach exhibits higher accuracy and better generalization capabilities.
文摘At the turn of the 21st century,specifically from 10 to 12 October 2000,the first Ministerial Conference of the Forum on China-Africa Cooperation(FOCAC)was held in Beijing,following prior consultations.More than 80 ministers from China and 44 African countries attended.In a joint declaration issued at the end of the conference,both sides expressed strong appreciation for the stable development of Sino-African relations over the past decades,full confidence in future cooperation,and a shared belief that a solid foundation exists for friendly relations and collaboration,rooted in their long-standing traditional friendship.
文摘For the history of medical culture in the world,the exchange and transmission of medical knowledge has formed an important part of mutual learning among different cultures,which has also increasingly shown unique academic value in the study of knowledge history.Traditional Eastern medicine(such as Chinese medicine,Indian ayurvedic medicine,Persian medicine,Arabic medicine),and other medical systems in the ancient Western world(including Greek medicine and Roman medicine)have left precious literature/texts,cultural relics(for example,pills,preparations,medical instruments),folklore and legends,which truly record the process of learning,transplantation,fusion and succession after the encounter of different medical systems at least for the past two thousand years.
文摘On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by Beijing Language and Culture University.Leading Sinologists and Chinese culture researchers from Europe,Asia and Latin America gathered to discuss the theme of civilisational diversity and explore pathways for coexistence and mutual enrichment.
基金funded by the Technology Research and Development Plan Program of China State Railway Group Co.,Ltd.(No.Q2024T001)the Foundation of China Academy of Railway Sciences Co.,Ltd.(No:2024YJ259).
文摘Purpose–This study aims to enhance the accuracy of key entity extraction from railway accident report texts and address challenges such as complex domain-specific semantics,data sparsity and strong inter-sentence semantic dependencies.A robust entity extraction method tailored for accident texts is proposed.Design/methodology/approach–This method is implemented through a dual-branch multi-task mutual learning model named R-MLP,which jointly performs entity recognition and accident phase classification.The model leverages a shared BERT encoder to extract contextual features and incorporates a sentence span indexing module to align feature granularity.A cross-task mutual learning mechanism is also introduced to strengthen semantic representation.Findings–R-MLP effectively mitigates the impact of semantic complexity and data sparsity in domain entities and enhances the model’s ability to capture inter-sentence semantic dependencies.Experimental results show that R-MLP achieves a maximum F1-score of 0.736 in extracting six types of key railway accident entities,significantly outperforming baseline models such as RoBERTa and MacBERT.Originality/value–This demonstrates the proposed method’s superior generalization and accuracy in domainspecific entity extraction tasks,confirming its effectiveness and practical value.
文摘In the thousand-year-old mural of Mogao Grottoes in Dunhuang,a special symbol tells the story of exchanges among civilisations.Three Rabbits Sharing Three Ears depicts three rabbits chasing each other,with each two sharing one ear.It is said that its earliest version appeared in Dunhuang in the 6th century,and it had travelled across the desert along the ancient Silk Road,over mountains and rivers,leaping onto British ceramic tiles,integrating into Egyptian pottery and jumping cross the clock faces of German churches.
基金co-supported by the National Natural Science Foundation of China(No.12374431)。
文摘To address the significant degradation of Space-Time Adaptive Processing(STAP)performance when the array elements have mutual coupling and gain/phase errors,a STAP algorithm with adaptive calibration for the above two array errors is proposed in this article.First,based on a defined error matrix that simultaneously considers both array mutual coupling and gain/phase errors,a STAP signal model including these errors is given.Then,utilizing the defined signal model,it is demonstrated that the estimation of the defined error matrix can be formulized as a standard convex optimization problem with the low-rank structure of the clutter covariance matrix and the subspace projection theory.Once the defined error matrix is estimated by solving the convex optimization problem,it is illustrated that a STAP method with adaptive calibration of the mutual coupling and gain/phase errors is coined.Analyses also show that the proposed adaptive calibration algorithm only needs one training sample to construct the adaptive weight vector.Therefore,it can achieve a good detection performance even with severe non-homogeneous clutter environments.Finally,the simulation experiments verify the effectiveness of the proposed algorithm and the correctness of the analytical results.
基金supported by the National Key R&D Program of China(No.2023YFB3308601)Sichuan Science and Technology Program(2024NSFJQ0035,2024NSFSC0004)the Talents by Sichuan provincial Party Committee Organization Department.
文摘In natural language processing(NLP),managing multiple downstream tasks through fine-tuning pre-trained models often requires maintaining separate task-specific models,leading to practical inefficiencies.To address this challenge,we introduce AdaptForever,a novel approach that enables continuous mastery of NLP tasks through the integration of elastic and mutual learning strategies with a stochastic expert mechanism.Our method freezes the pre-trained model weights while incorporating adapters enhanced with mutual learning capabilities,facilitating effective knowledge transfer from previous tasks to new ones.By combining Elastic Weight Consolidation(EWC)for knowledge preservation with specialized regularization terms,AdaptForever successfully maintains performance on earlier tasks while acquiring new capabilities.Experimental results demonstrate that AdaptForever achieves superior performance across a continuous sequence of NLP tasks compared to existing parameter-efficient methods,while effectively preventing catastrophic forgetting and enabling positive knowledge transfer between tasks.
文摘Machine-to-machine (M2M) communication networks consist of resource-constrained autonomous devices, also known as autonomous Internet of things (IoTs) or machine-type communication devices (MTCDs) which act as a backbone for Industrial IoT, smart cities, and other autonomous systems. Due to the limited computing and memory capacity, these devices cannot maintain strong security if conventional security methods are applied such as heavy encryption. This article proposed a novel lightweight mutual authentication scheme including elliptic curve cryptography (ECC) driven end-to-end encryption through curve25519 such as (i): efficient end-to-end encrypted communication with pre-calculation strategy using curve25519;and (ii): elliptic curve Diffie-Hellman (ECDH) based mutual authentication technique through a novel lightweight hash function. The proposed scheme attempts to efficiently counter all known perception layer security threats. Moreover, the pre-calculated key generation strategy resulted in cost-effective encryption with 192-bit curve security. It showed comparative efficiency in key strength, and curve strength compared with similar authentication schemes in terms of computational and memory cost, communication performance and encryption robustness.
基金supported by the Fund from the Professional Degree Graduate Practice Base Project of University of Shanghai for Science and Technology(Project No.1025115004005).
文摘Based on Katharina Reiss’s text typology theory from the German Functionalist School,this paper systematically explores the strategic differences and practical methods in the mutual translation between Chinese and Japanese for operative,informative,expressive,and informative+expressive text types.By comparatively analyzing the linguistic functions,communicative features,and cultural cognitive differences of these four text types,the study proposes targeted translation strategies:Operative texts require tone adjustment,localized adaptation,and pragmatic compensation to maximize appeal;informative texts emphasize sentence structure restructuring and terminology standardization to ensure information transfer efficiency;expressive texts focus on formal imitation and rhetorical reproduction to preserve the original aesthetic value;for informative+expressive texts,flexible handling of idioms,proverbs,and stylistic forms is necessary to achieve an optimal balance between informational accuracy and aesthetic form.The study validates the applicability of functionalist theory in Chinese-Japanese translation through empirical case studies,while also revealing the prevalence of mixed text functions and the consequent demand for translator strategic flexibility.These findings not only expand the explanatory dimension of Reiss’s theory,but also provide an operational methodological framework for cross-cultural translation practice,holding practical significance for promoting in-depth communication between China and Japan.
基金supported by the Natural Science Basic Research Plan in Shaanxi Province of China(Program No.2022JM-381,2017JQ6070)National Natural Science Foundation of China(Grant No.61703256),Foundation of State Key Laboratory of Public Big Data(No.PBD2022-08)the Fundamental Research Funds for the Central Universities,China(Program No.GK202201014,GK202202003,GK201803020).
文摘Studies show that Graph Neural Networks(GNNs)are susceptible to minor perturbations.Therefore,analyzing adversarial attacks on GNNs is crucial in current research.Previous studies used Generative Adversarial Networks to generate a set of fake nodes,injecting them into a clean GNNs to poison the graph structure and evaluate the robustness of GNNs.In the attack process,the computation of new node connections and the attack loss are independent,which affects the attack on the GNN.To improve this,a Fake Node Camouflage Attack based on Mutual Information(FNCAMI)algorithm is proposed.By incorporating Mutual Information(MI)loss,the distribution of nodes injected into the GNNs become more similar to the original nodes,achieving better attack results.Since the loss ratios of GNNs and MI affect performance,we also design an adaptive weighting method.By adjusting the loss weights in real-time through rate changes,larger loss values are obtained,eliminating local optima.The feasibility,effectiveness,and stealthiness of this algorithm are validated on four real datasets.Additionally,we use both global and targeted attacks to test the algorithm’s performance.Comparisons with baseline attack algorithms and ablation experiments demonstrate the efficiency of the FNCAMI algorithm.
