Color filters are essential components for optical modulation.However,conventional filters are restricted to operating exclusively in either reflective or transmissive mode.Furthermore,they suffer from limited UV and ...Color filters are essential components for optical modulation.However,conventional filters are restricted to operating exclusively in either reflective or transmissive mode.Furthermore,they suffer from limited UV and thermal stability,low color purity,and exhibit identical coloration on both surfaces.Herein,we propose a novel design strategy for trans-reflective color filters by integrating the absorptive properties of dye-doped polysulfone(PSU)with the diffractive capabilities of photonic crystals.This composite filter achieved broad-spectrum transmission with deep color outputs—yellow(0.410,0.510),magenta(0.446,0.231),and cyan(0.201,0.425)—closely aligned with standard color space coordinates.By tuning the refractive index of CeO_(2)@SiO_(2)nanoparticles to match dye-based PSU matrix,the transmittance of filters exceeded 70%.Moreover,dye-mediated absorption reduces the scattering light,thereby enhancing reflection color purity(full width at half maxima(FWHM)=25 nm)and producing vibrant blue,green,and red hues.The incorporation of UV-absorbing CeO_(2)@SiO_(2)nanoparticles effectively mitigated dye photodegradation,yielding exceptional UV stability(ΔT<2%under prolonged UV exposure).The filters also exhibited outstanding thermal stability(ΔT<1%after 30 min heat treatment at 230°C).This work establishes a robust materials design framework for multifunctional optical filters,advancing the development of highfidelity dual-mode color systems for next-generation display technologies.展开更多
Ships navigating in ice-covered regions will inevitably collide with ice ridges.Compared to other ice bodies,ice ridges exhibit more complicated mechanical behaviors due to the scale and structure characteristics.In t...Ships navigating in ice-covered regions will inevitably collide with ice ridges.Compared to other ice bodies,ice ridges exhibit more complicated mechanical behaviors due to the scale and structure characteristics.In this paper,nonlinear finite element method is used to investigate the interaction between a polar ship and an ice ridge.The ice ridge is modelled as elastic-plastic material based on Drucker-Prager yield function,with the consideration of the influence of cohesion,friction angle and material hardening.The material model is developed in LS-DYNA and solved using semi-implicit mapping algorithm.The stress distribution of ice ridge and ship,and the ice load history are evaluated through the simulation of multiple collisions.In addition,parametric analysis is performed to investigate the influence of ridge thickness and impact velocity on the ice load and energy absorption.展开更多
With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant importance.Emotion-cause pair extraction enables the identification of causal relationships between emotions...With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant importance.Emotion-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying reasons.This comprehension is crucial for making informed strategic decisions in various business and societal contexts.However,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause extraction.To address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment mechanisms.The model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause pairs.Second,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among tasks.The proposed method is evaluated on a Chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 score.Experimental results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(ECPE)and cause extraction(CE)compared to existing methods,validating its effectiveness.This research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-cause pair extraction.However,the study’s limitation lies in the data sources,potentially restricting the generalizability of the findings.展开更多
Although mixed lineage kinase domain-like protein(MLKL)is widely recognized as a critical effector in the necroptotic signaling pathway,MLKL plays broader regulatory roles beyond programmed necroptosis.Notably,Xuan Yu...Although mixed lineage kinase domain-like protein(MLKL)is widely recognized as a critical effector in the necroptotic signaling pathway,MLKL plays broader regulatory roles beyond programmed necroptosis.Notably,Xuan Yuan et al demonstrated that CPD4,an ATP-binding pocket inhibitor of MLKL,significantly reduces liver inflammation and improves liver function by inhibiting NF-κB signaling,suggesting its use as a potential therapeutic candidate for alcoholic liver disease.However,the pharmacokinetic properties and long-term toxicity of CPD4 require further evaluation.Moreover,a single therapeutic strategy targeting MLKL may not be sufficient.Future studies should focus on the precise regulation of MLKL and develop combination therapies to achieve dual intervention of inflammatory and cell death pathways.This paper provides an important theoretical foundation for translational research on MLKL-targeted therapy.However,its clinical translation requires overcoming existing limitations and further elucidating the regulatory network of MLKL in complex microenvironments.展开更多
Bladder cancer(BLCA)is a highly invasive malignancy with limited targeted therapies.Lu et al reveal the oncogenic role of HOXC6 in BLCA by showing its elevated mRNA and protein levels in cancerous tissues.Silencing HO...Bladder cancer(BLCA)is a highly invasive malignancy with limited targeted therapies.Lu et al reveal the oncogenic role of HOXC6 in BLCA by showing its elevated mRNA and protein levels in cancerous tissues.Silencing HOXC6 sig-nificantly inhibits BLCA cell proliferation,migration and invasion,induces apo-ptosis and arrests the cell cycle at G0/G1.In addition,HOXC6 also regulates pa-thways related to chemical carcinogenesis and reactive oxygen species,with a strong association with the target gene TIMELESS,supported by binding signals in its promoter region.Here,we discuss the role of HOXC6 as a potential bio-marker and therapeutic target,contributing to a deeper understanding of the HOXC6-TIMELESS axis and its implications for advancing BLCA research and therapy.展开更多
Hepatitis B virus remains a major cause of cirrhosis and hepatocellular carcinoma,with genetic polymorphisms and mutations influencing immune responses and disease progression.Nguyen et al present novel findings on sp...Hepatitis B virus remains a major cause of cirrhosis and hepatocellular carcinoma,with genetic polymorphisms and mutations influencing immune responses and disease progression.Nguyen et al present novel findings on specific human leukocyte antigen(HLA)alleles,including rs2856718 of HLA-DQ and rs3077 and rs9277535 of HLA-DP,which may predispose individuals to cirrhosis and liver cancer,based on multi-clustering analysis.Here,we discuss the feasibility of this approach and identify key areas for further investigation,aiming to offer insights for advancing clinical practice and research in liver disease and related cancers.展开更多
Dye-based color films are increasingly considered as viable alternatives to pigment-based color films in complementary metal-oxide-semiconductor(CMOS) image sensors.Herein,a series of azo dyes utilizing 5-methyl-2-phe...Dye-based color films are increasingly considered as viable alternatives to pigment-based color films in complementary metal-oxide-semiconductor(CMOS) image sensors.Herein,a series of azo dyes utilizing 5-methyl-2-phenyl-4-(2-phenylhydrazono)-2,4-dihydro-3H-pyrazol-3-one as the coupling component and aromatic amines with various electron-withdrawing groups(NO_(2),CN,Br) as diazo components were designed and synthesized.The presence of intermolecular hydrogen bonding between the hydrogen atom on the N-H group and the oxygen atom of the C=O group of the hydrazo structure facilitates the formation of a stable six-membered ring.Additionally,the electron-withdrawing groups in the diazo component further stabilize this hydrogen-bonded structure.As a result,these azo dyes(P-2,P-3,P-4,P-5)exhibit not only excellent light stability but also ultra-highly thermal stability(T_(d)> 260℃).Therein,the synthesized dyes P-2 and P-3 with great bright yellow color(~400 nm),proper solubility(~6.00g/100 g)were selected to make for color films.And their dye-based color films displayed ultra-highly thermal and light stability(color difference ΔE<3).Notably,the increased planarity of the molecular structure by hydrogen bonding for the novel dyes ensures a balance between high transmittance(>90%) in the 550-780 nm wavelength range and the solvent resistance of the dye-based color films.This work contributes to the advancement of next-generation smart CMOS devices and offers valuable insights into the design of azo dyes for applications in the field of organic electronics.展开更多
基金supported by the Program of the National Natural Science Foundation of China(22238002)the Fundamental Research Funds for the Central Universities(DUT22-LAB610)Research and Innovation Team Project of Dalian University of Technology(DUT2022TB10).
文摘Color filters are essential components for optical modulation.However,conventional filters are restricted to operating exclusively in either reflective or transmissive mode.Furthermore,they suffer from limited UV and thermal stability,low color purity,and exhibit identical coloration on both surfaces.Herein,we propose a novel design strategy for trans-reflective color filters by integrating the absorptive properties of dye-doped polysulfone(PSU)with the diffractive capabilities of photonic crystals.This composite filter achieved broad-spectrum transmission with deep color outputs—yellow(0.410,0.510),magenta(0.446,0.231),and cyan(0.201,0.425)—closely aligned with standard color space coordinates.By tuning the refractive index of CeO_(2)@SiO_(2)nanoparticles to match dye-based PSU matrix,the transmittance of filters exceeded 70%.Moreover,dye-mediated absorption reduces the scattering light,thereby enhancing reflection color purity(full width at half maxima(FWHM)=25 nm)and producing vibrant blue,green,and red hues.The incorporation of UV-absorbing CeO_(2)@SiO_(2)nanoparticles effectively mitigated dye photodegradation,yielding exceptional UV stability(ΔT<2%under prolonged UV exposure).The filters also exhibited outstanding thermal stability(ΔT<1%after 30 min heat treatment at 230°C).This work establishes a robust materials design framework for multifunctional optical filters,advancing the development of highfidelity dual-mode color systems for next-generation display technologies.
文摘Ships navigating in ice-covered regions will inevitably collide with ice ridges.Compared to other ice bodies,ice ridges exhibit more complicated mechanical behaviors due to the scale and structure characteristics.In this paper,nonlinear finite element method is used to investigate the interaction between a polar ship and an ice ridge.The ice ridge is modelled as elastic-plastic material based on Drucker-Prager yield function,with the consideration of the influence of cohesion,friction angle and material hardening.The material model is developed in LS-DYNA and solved using semi-implicit mapping algorithm.The stress distribution of ice ridge and ship,and the ice load history are evaluated through the simulation of multiple collisions.In addition,parametric analysis is performed to investigate the influence of ridge thickness and impact velocity on the ice load and energy absorption.
文摘With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant importance.Emotion-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying reasons.This comprehension is crucial for making informed strategic decisions in various business and societal contexts.However,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause extraction.To address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment mechanisms.The model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause pairs.Second,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among tasks.The proposed method is evaluated on a Chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 score.Experimental results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(ECPE)and cause extraction(CE)compared to existing methods,validating its effectiveness.This research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-cause pair extraction.However,the study’s limitation lies in the data sources,potentially restricting the generalizability of the findings.
文摘Although mixed lineage kinase domain-like protein(MLKL)is widely recognized as a critical effector in the necroptotic signaling pathway,MLKL plays broader regulatory roles beyond programmed necroptosis.Notably,Xuan Yuan et al demonstrated that CPD4,an ATP-binding pocket inhibitor of MLKL,significantly reduces liver inflammation and improves liver function by inhibiting NF-κB signaling,suggesting its use as a potential therapeutic candidate for alcoholic liver disease.However,the pharmacokinetic properties and long-term toxicity of CPD4 require further evaluation.Moreover,a single therapeutic strategy targeting MLKL may not be sufficient.Future studies should focus on the precise regulation of MLKL and develop combination therapies to achieve dual intervention of inflammatory and cell death pathways.This paper provides an important theoretical foundation for translational research on MLKL-targeted therapy.However,its clinical translation requires overcoming existing limitations and further elucidating the regulatory network of MLKL in complex microenvironments.
基金Supported by National Key R&D Program of China,No.2023YFC2507904Hubei Strategic Science and Technology Talent Plan,No.2024DJA037+1 种基金National Natural Science Foundation of China,No.32270768,No.82273970 and No.82370715Innovation Group Project of Hubei Province No.2023AFA026.
文摘Bladder cancer(BLCA)is a highly invasive malignancy with limited targeted therapies.Lu et al reveal the oncogenic role of HOXC6 in BLCA by showing its elevated mRNA and protein levels in cancerous tissues.Silencing HOXC6 sig-nificantly inhibits BLCA cell proliferation,migration and invasion,induces apo-ptosis and arrests the cell cycle at G0/G1.In addition,HOXC6 also regulates pa-thways related to chemical carcinogenesis and reactive oxygen species,with a strong association with the target gene TIMELESS,supported by binding signals in its promoter region.Here,we discuss the role of HOXC6 as a potential bio-marker and therapeutic target,contributing to a deeper understanding of the HOXC6-TIMELESS axis and its implications for advancing BLCA research and therapy.
基金Supported by National Natural Science Foundation of China,No.32270768,No.82273970,No.32070726,and No.82370715National Key R&D Program of China,No.2023YFC2507904the Innovation Group Project of Hubei Province,No.2023AFA026.
文摘Hepatitis B virus remains a major cause of cirrhosis and hepatocellular carcinoma,with genetic polymorphisms and mutations influencing immune responses and disease progression.Nguyen et al present novel findings on specific human leukocyte antigen(HLA)alleles,including rs2856718 of HLA-DQ and rs3077 and rs9277535 of HLA-DP,which may predispose individuals to cirrhosis and liver cancer,based on multi-clustering analysis.Here,we discuss the feasibility of this approach and identify key areas for further investigation,aiming to offer insights for advancing clinical practice and research in liver disease and related cancers.
基金supported by the Program of the National Natural Science Foundation of China(No.22238002)the Fundamental Research Funds for the Central Universities(No.DUT22LAB610)+1 种基金Research and Innovation Team Project of Dalian University of Technology(No.DUT2022TB10)China Postdoctoral Science Foundation(No.2022M720639)。
文摘Dye-based color films are increasingly considered as viable alternatives to pigment-based color films in complementary metal-oxide-semiconductor(CMOS) image sensors.Herein,a series of azo dyes utilizing 5-methyl-2-phenyl-4-(2-phenylhydrazono)-2,4-dihydro-3H-pyrazol-3-one as the coupling component and aromatic amines with various electron-withdrawing groups(NO_(2),CN,Br) as diazo components were designed and synthesized.The presence of intermolecular hydrogen bonding between the hydrogen atom on the N-H group and the oxygen atom of the C=O group of the hydrazo structure facilitates the formation of a stable six-membered ring.Additionally,the electron-withdrawing groups in the diazo component further stabilize this hydrogen-bonded structure.As a result,these azo dyes(P-2,P-3,P-4,P-5)exhibit not only excellent light stability but also ultra-highly thermal stability(T_(d)> 260℃).Therein,the synthesized dyes P-2 and P-3 with great bright yellow color(~400 nm),proper solubility(~6.00g/100 g)were selected to make for color films.And their dye-based color films displayed ultra-highly thermal and light stability(color difference ΔE<3).Notably,the increased planarity of the molecular structure by hydrogen bonding for the novel dyes ensures a balance between high transmittance(>90%) in the 550-780 nm wavelength range and the solvent resistance of the dye-based color films.This work contributes to the advancement of next-generation smart CMOS devices and offers valuable insights into the design of azo dyes for applications in the field of organic electronics.
基金supported by the National Natural Science Foundation of China (No. U2033204)Engineering Laboratory of Battery Safety and Accident Control of Petroleum and Chemical Industry, China (No. ELBSAC202304)supported by Youth Innovation Promotion Association, Chinese Academy of Sciences (No. Y201768)
