Foxtail millet(Setaria italica)is an important crop and an emerging model plant.Photoperiodic flowering is a key determinant of its production and geographic expansion.In this study,we found that SiPRR37 is responsibl...Foxtail millet(Setaria italica)is an important crop and an emerging model plant.Photoperiodic flowering is a key determinant of its production and geographic expansion.In this study,we found that SiPRR37 is responsible for the major quantitative trait locus(QTL)Heading date 2(Hd2)identified in 680 foxtail millets using a genome-wide association study.Overexpression of SiPRR37 in foxtail millet significantly delayed the heading date under both natural long-day and short-day conditions.CRISPR/Cas9-induced Siprr37 mutants exhibited earlier flowering in long-day conditions but later flowering in short-day conditions.The critical day length(CDL)for the reversal of Siprr37’s function was around 14.3 h.Haplotype analysis revealed that accessions with the Tc1-Mariner transposon insertion in SiPRR37(Hap 1)flowered significantly earlier at higher latitudes,and later at lower latitudes,indicating that natural variants of SiPRR37 exert dual functions in flowering regulation according to geographic latitude.The gradual,successive decrease in the frequency of Hap 2 from low to high latitudes,with the concurrent increase of Hap 1,demonstrates that these haplotypes have undergone artificial selection.Further FST analysis demonstrated that SiPRR37 has contributed to the ecological adaption of foxtail millet.Additionally,we reveal that OsPRR37 promotes flowering in rice,while GmPRR37 may only inhibit flowering in soybean.Further diurnal expression and transgenic analyses suggest that the dual function of SiPRR37 might depend on SiHd1.Our study uncovered the distinct functional reversal of SiPRR37 and functional diversification of PRR37 homologs in SD crops.These findings not only enrich knowledge about the regulation of photoperiodic flowering,but also contribute to genetic improvement of crops’regional adaptability.展开更多
This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance ru...This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking accuracy.Moreover, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.展开更多
In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the op...In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.展开更多
While reinforcement learning-based underwater acoustic adaptive modulation shows promise for enabling environment-adaptive communication as supported by extensive simulation-based research,its practical performance re...While reinforcement learning-based underwater acoustic adaptive modulation shows promise for enabling environment-adaptive communication as supported by extensive simulation-based research,its practical performance remains underexplored in field investigations.To evaluate the practical applicability of this emerging technique in adverse shallow sea channels,a field experiment was conducted using three communication modes:orthogonal frequency division multiplexing(OFDM),M-ary frequency-shift keying(MFSK),and direct sequence spread spectrum(DSSS)for reinforcement learning-driven adaptive modulation.Specifically,a Q-learning method is used to select the optimal modulation mode according to the channel quality quantified by signal-to-noise ratio,multipath spread length,and Doppler frequency offset.Experimental results demonstrate that the reinforcement learning-based adaptive modulation scheme outperformed fixed threshold detection in terms of total throughput and average bit error rate,surpassing conventional adaptive modulation strategies.展开更多
Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve thro...Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.展开更多
News is an important medium to transmit social information and reflect social reality. Its effects are irreplaceable and the news language which is a carrier to spread information is in fact influenced by many factors...News is an important medium to transmit social information and reflect social reality. Its effects are irreplaceable and the news language which is a carrier to spread information is in fact influenced by many factors such as society, economy and culture. In order to exert its function to gain different social ends, the presentation of news language owns distinguishing features. This article starts from Verschueren's Adaption Theory to have the final conclusion that the adaption to the social, mental and physical world is the key element for the determination of the originality in news language.展开更多
With the rising adoption of blockchain technology due to its decentralized,secure,and transparent features,ensuring its resilience against network threats,especially Distributed Denial of Service(DDoS)attacks,is cruci...With the rising adoption of blockchain technology due to its decentralized,secure,and transparent features,ensuring its resilience against network threats,especially Distributed Denial of Service(DDoS)attacks,is crucial.This research addresses the vulnerability of blockchain systems to DDoS assaults,which undermine their core decentralized characteristics,posing threats to their security and reliability.We have devised a novel adaptive integration technique for the detection and identification of varied DDoS attacks.To ensure the robustness and validity of our approach,a dataset amalgamating multiple DDoS attacks was derived from the CIC-DDoS2019 dataset.Using this,our methodology was applied to detect DDoS threats and further classify them into seven unique attack subcategories.To cope with the broad spectrum of DDoS attack variations,a holistic framework has been pro-posed that seamlessly integrates five machine learning models:Gate Recurrent Unit(GRU),Convolutional Neural Networks(CNN),Long-Short Term Memory(LSTM),Deep Neural Networks(DNN),and Support Vector Machine(SVM).The innovative aspect of our framework is the introduction of a dynamic weight adjustment mechanism,enhancing the system’s adaptability.Experimental results substantiate the superiority of our ensemble method in comparison to singular models across various evaluation metrics.The framework displayed remarkable accuracy,with rates reaching 99.71%for detection and 87.62%for classification tasks.By developing a comprehensive and adaptive methodology,this study paves the way for strengthening the defense mechanisms of blockchain systems against DDoS attacks.The ensemble approach,combined with the dynamic weight adjustment,offers promise in ensuring blockchain’s enduring security and trustworthiness.展开更多
Based on specimens collected in Yinggehai, Hainan, China from 2013 to 2016, a stable epiphytic taxon is found on the surface of the individual of marine green alga Cladophora aokii Yamada. According to the morphologic...Based on specimens collected in Yinggehai, Hainan, China from 2013 to 2016, a stable epiphytic taxon is found on the surface of the individual of marine green alga Cladophora aokii Yamada. According to the morphological characteristics, the taxonomy of Cl. aokii and its epiphytes is carried out. There are some epiphytes attached on Cl. aokii Yamada including Cl. fascicularis （Mertens ex C. Agardh） Kfitzing, Chaetomorpha pachynerna （Montagne） Kiitzing, Cerarniurn carnouii Dawson, Licmophora abbreviata Agardh, Lyngbya sp. and Chattonella sp.. The formation of the individual of Cl. aokii is dissected and explained, which can help to analyze the adaption in details among this species, its epiphytes and native marine environment. The results reveal the marine macroepiphytic taxonomy in Ha/nan, China, and preliminarily explain the adaptive relationship between macroalgae and environment.展开更多
Neurodegenerative disease is a condition in which subpopulations of neuronal cells of the brain and spinal cord are selectively lost. A common event in many neurodegenerative diseases, such as Parkinson＇s disease （P...Neurodegenerative disease is a condition in which subpopulations of neuronal cells of the brain and spinal cord are selectively lost. A common event in many neurodegenerative diseases, such as Parkinson＇s disease （PD）, Alzheimer＇s disease （AD）, amyotrophic lateral sclerosis （ALS）, multiple sclerosis and prion diseases, is the increased level of endoplasmic reticulum （ER） stress caused by accumulation and deposits of inclusion bodies that contain abnormal aggregated proteins. However, the exact contributions to and causal effects of ER stress in neuron degeneration are not clear （Lindholm et al., 2006）.展开更多
We designed two types of pre-adaption plans for this study. One was a pre-adaption training with progressive intermittent hypoxia, with a constant lower pressure oxygen tank used in the plain before arriving at the pl...We designed two types of pre-adaption plans for this study. One was a pre-adaption training with progressive intermittent hypoxia, with a constant lower pressure oxygen tank used in the plain before arriving at the plateau （PG）. The other was by progressively increasing the time of exposure to hypoxia with oxygen supplied in stages after radical plateau （RG）. By testing the blood oxygen saturation （SpO2）, heart rate （HR）, and quality of sleep after arriving at the 3800 m high plateau, results showed that the pre-acclimatization and radical groups performed better than the control group （CG）. Both strategies were equivalent in terms of effects and principles in providing more flexible choices for acclimatization.展开更多
This paper studies the problem of diagnosis strategy for a doubly fed induction motor (DFIM) sensor faults. This strategy is based on unknown input proportional integral (PI) multiobserver. Thecontribution of this pap...This paper studies the problem of diagnosis strategy for a doubly fed induction motor (DFIM) sensor faults. This strategy is based on unknown input proportional integral (PI) multiobserver. Thecontribution of this paper is on one hand the creation of a new DFIM model based on multi-model approach and, on the other hand, the synthesis of an adaptive PI multi-observer. The DFIM Volt per Hertz drive system behaves as a nonlinear complex system. It consists of a DFIM powered through a controlled PWM Voltage Source Inverter (VSI). The need of a sensorless drive requires soft sensors such as estimators or observers. In particular, an adaptive Proportional-Integral multi-observer is synthesized in order to estimate the DFIM’s outputs which are affected by different faults and to generate the different residual signals symptoms of sensor fault occurrence. The convergence of the estimation error is guaranteed by using the Lyapunov’s based theory. The proposed diagnosis approach is experimentally validated on a 1 kW Induction motor. Obtained simulation results confirm that the adaptive PI multiobserver consent to accomplish the detection, isolation and fault identification tasks with high dynamic performances.展开更多
Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and non...Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and nonlinear connection of real neuron. The obtained results show that the model approximates to realistic principles of neural computation better than the available neural networks. The impulse-coded WTA(winner takes all) networks constructed with the above model find the winner more effectively than the analog WTA. Finally, the two important concepts: time competition and strength competition are introduced, which illustrate that the model has abilities to perform series and parallel information processing.展开更多
Climate change adaptation is the process of preparing and actively adjusting to meet the climate change (negative effects and potential opportunities). Urban adaptation is aimed at the sensitivity level of risks and s...Climate change adaptation is the process of preparing and actively adjusting to meet the climate change (negative effects and potential opportunities). Urban adaptation is aimed at the sensitivity level of risks and specific impacts of cities under the impact of climate change, and to develop policies and investment programs to reduce the vulnerability of cities to climate change risk. Urban adaptive action provides the basis and direction for the construction of urban resilience and sustainable development. Identifying the demand of adaption technologies, promoting the practical implementation of international technology transfer and reducing domestic emissions have important significance for the global response to climate change and improvement of the ability of urban adaptation. In this paper, through in-depth analysis on the concept and connotation of climate change, climate disasters and urban adaptation to climate change, the evaluation framework and steps of urban adaptation to climate change technology are determined, and six priority application technologies which can maximize the overall efficiency of sustainable development, improve the ability to adapt to climate change and at the same time reduce the cost at the greatest extent are identified.展开更多
Dynamic adaptive streaming over HTTP （DASH） has been widely deployed. However, large latency in HTTP/1.1 cannot meet the requirements of live streaming. Data- pushing in HTFP/2 is emerging as a promising technology....Dynamic adaptive streaming over HTTP （DASH） has been widely deployed. However, large latency in HTTP/1.1 cannot meet the requirements of live streaming. Data- pushing in HTFP/2 is emerging as a promising technology. For video live over HTTP/2, new challenges arise due to both low-delay and small buffer constraints. In this paper, we study the rate adaption problem over HTFP/2 with the aim to improve the quality of experience （QoE） of live streaming. To track the dynamic characteristics of the streaming system, a Markov-theoretical approach is employed. System variables are taken into account to describe the system state, by which the system transi- tion probability is derived. Moreover, we design a dynamic reward function considering both the quality of user experience and dynamic system variables. Therefore, the rate adaption problem is formulated into a Markov decision based optimization problem and the best streaming policy is obtained. At last, the effectiveness of our proposed rate adaption scheme is demonstrated by numerous experiment results.展开更多
Biodegradable magnesium （Mg） alloy stents are the most promising next generation of bio-absorbable stents. In this article, we summarized the progresses on the in vitro studies, animal testing and clinical trials of...Biodegradable magnesium （Mg） alloy stents are the most promising next generation of bio-absorbable stents. In this article, we summarized the progresses on the in vitro studies, animal testing and clinical trials of biodegradable Mg alloy stents in the past decades. These exciting findings led us to propose the importance of the concept ＂bio-adaption＂ between the Mg alloy stent and the local tissue microenvironment after implantation. The healing responses of stented blood vessel can be generally described in three overlapping phases： inflammation, granulation and remodeling. The ideal bio-adaption of the Mg alloy stent, once implanted into the blood vessel, needs to be a reasonable function of the time and the space/dimension. First, a very slow degeneration of mechanical support is expected in the initial four months in order to provide sufficient mechanical support to the injured vessels. Although it is still arguable whether full mechanical support in stented lesions is mandatory during the first four months after implantation, it would certainly be a safety design parameter and a benchmark for regulatory evaluations based on the fact that there is insufficient human in vivo data available, especially the vessel wall mechanical properties during the healing/remodeling phase. Second, once the Mg alloy stent being degraded, the void space will be filled by the regenerated blood vessel tissues. The degradation of the Mg alloy stent should be 100% completed with no residues, and the degradation products （e.g., ions and hydrogen） will be helpful for the tissue reconstruction of the blood vessel. Toward this target, some future research perspectives are also discussed.展开更多
Background: An essential condition to improve patient safety is considered to ensure a supportive patient safety culture. Measuring the culture of patient safety in all health care institutions may be a first step to ...Background: An essential condition to improve patient safety is considered to ensure a supportive patient safety culture. Measuring the culture of patient safety in all health care institutions may be a first step to target improvements. Creating a culture of safety requires eliminating the culture of blame. In order to formulate actions for improvement, it is important for hospitals to assess their baseline scores for the existing safety culture and to determine the areas of priority. Aim: The aim of this study was first to measure the use, translation in Albanian and adaptation of the Hospital Survey on Patient Safety Culture (HSOPSC) assessment as a tool for improving patient safety in Kosovo Hospitals. The second aim was to measure the level of patient safety culture in Kosovo, in seven hospitals and one University Clinical Center (hospitals with over 50 beds, including psychiatric hospitals). Method: The questionnaire (HSOPSC) was translated into Albanian for use in the Kosovo. It was used forward-backward translation: the questions were translated into Albanian by one translator and then translated back into English by an independent translator who was blinded to the original questionnaire. Results: In the eight-factor model, the internal consistency of the factors and the construct validity of the HSOPSC questionnaire were mostly satisfactory. The construct validity was sufficient for all subscales, except for the 4 other subscale regarding intention to report incidents which correlated poorly with other subscales. In total, HSOPSC has 12 dimensions. Cronbach’s α showed that in Kosovarian society, we could use only 8 dimensions model. Conclusion: The hypothesis that HSOPSC would be a suitable instrument to provide important indicators for the improvement of patient safety culture was tested and it was confirmed, that HSOPSC could be used as 8 dimension model. HSOPSC is suitable to improve patient safety culture and provide each hospital with a basic profile on patient safety culture and recommendations for an oriented intervention plan.展开更多
The purpose of this paper is to study effect factors of adaptation to university life of Chinese International Students in Korea. 374 Korean language trainees are chosen as investigation objects by means of random clu...The purpose of this paper is to study effect factors of adaptation to university life of Chinese International Students in Korea. 374 Korean language trainees are chosen as investigation objects by means of random cluster sampling. Questionnaire data are collected by using the survey form and then paths of effect factors on adaption to university life of Korean training Chinese students in Korea are analyzed. The results indicate that Korean language proficiency, physical symptoms, loneliness, self-efficacy, acculturation stress are direct effect factors on Chinese students adapting to university life in Korea. Besides, Korean language proficiency, physical symptoms, loneliness are not only direct effect factors on self-efficacy and acculturation stress but also indirect effect factors on Chinese students adapting to university life in Korea. In order to improve ability of Korean training Chinese students adapting to university life in Korea, Korean language proficiency and self-efficacy should be improved. And, some effective interventions should be given to reducing physical symptoms, loneliness and acculturation stress.展开更多
The cavitating flow around a Delft Twist-11 hydrofoil is simulated using the large eddy simulation approach.The volume-of-fluid method incorporated with the Schnerr-Sauer cavitation model is utilized to track the wate...The cavitating flow around a Delft Twist-11 hydrofoil is simulated using the large eddy simulation approach.The volume-of-fluid method incorporated with the Schnerr-Sauer cavitation model is utilized to track the water-vapor interface.Adaptive mesh refinement(AMR)is also applied to improve the simulation accuracy automatically.Two refinement levels are conducted to verify the dominance of AMR in predicting cavitating flows.Results show that cavitation features,including the U-type structure of shedding clouds,are consistent with experimental observations.Even a coarse mesh can precisely capture the phase field without increasing the total cell number significantly using mesh adaption.The predicted shedding frequency agrees fairly well with the experimental data under refinement level 2.This study illustrates that AMR is a promising approach to achieve accurate simulations for multiscale cavitating flows within limited computational costs.Finally,the force element method is currently adopted to investigate the lift and drag fluctuations during the evolution of cavitation structure.The mechanisms of lift and drag fluctuations due to cavitation and the interaction between vorticity forces and cavitation are explicitly revealed.展开更多
基金supported by the National Natural Science Foundation of China(32101759,32241042)the National Key Research and Development Program of China(2023YFD1200700 and 2023YFD1200704).
文摘Foxtail millet(Setaria italica)is an important crop and an emerging model plant.Photoperiodic flowering is a key determinant of its production and geographic expansion.In this study,we found that SiPRR37 is responsible for the major quantitative trait locus(QTL)Heading date 2(Hd2)identified in 680 foxtail millets using a genome-wide association study.Overexpression of SiPRR37 in foxtail millet significantly delayed the heading date under both natural long-day and short-day conditions.CRISPR/Cas9-induced Siprr37 mutants exhibited earlier flowering in long-day conditions but later flowering in short-day conditions.The critical day length(CDL)for the reversal of Siprr37’s function was around 14.3 h.Haplotype analysis revealed that accessions with the Tc1-Mariner transposon insertion in SiPRR37(Hap 1)flowered significantly earlier at higher latitudes,and later at lower latitudes,indicating that natural variants of SiPRR37 exert dual functions in flowering regulation according to geographic latitude.The gradual,successive decrease in the frequency of Hap 2 from low to high latitudes,with the concurrent increase of Hap 1,demonstrates that these haplotypes have undergone artificial selection.Further FST analysis demonstrated that SiPRR37 has contributed to the ecological adaption of foxtail millet.Additionally,we reveal that OsPRR37 promotes flowering in rice,while GmPRR37 may only inhibit flowering in soybean.Further diurnal expression and transgenic analyses suggest that the dual function of SiPRR37 might depend on SiHd1.Our study uncovered the distinct functional reversal of SiPRR37 and functional diversification of PRR37 homologs in SD crops.These findings not only enrich knowledge about the regulation of photoperiodic flowering,but also contribute to genetic improvement of crops’regional adaptability.
基金supported in part by the National Natural Science Foundation of China(62303117,T2325018,92367109)the Xiangjiang Scholar Program(XJ2023018)+2 种基金the Key Laboratory of System Control and Information Processing(Scip20240108)the Aeronautical Science Foundation of China(20230001144001)Fujian Provincial Natural Science Foundation(2024J01130098)
文摘This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking accuracy.Moreover, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.
基金Supported by the National Natural Science Foundation of China(12071133)Natural Science Foundation of Henan Province(252300421993)Key Scientific Research Project of Higher Education Institutions in Henan Province(25B110005)。
文摘In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.
基金funding from the National Key Research and Development Program of China(No.2018YFE0110000)the National Natural Science Foundation of China(No.11274259,No.11574258)the Science and Technology Commission Foundation of Shanghai(21DZ1205500)in support of the present research.
文摘While reinforcement learning-based underwater acoustic adaptive modulation shows promise for enabling environment-adaptive communication as supported by extensive simulation-based research,its practical performance remains underexplored in field investigations.To evaluate the practical applicability of this emerging technique in adverse shallow sea channels,a field experiment was conducted using three communication modes:orthogonal frequency division multiplexing(OFDM),M-ary frequency-shift keying(MFSK),and direct sequence spread spectrum(DSSS)for reinforcement learning-driven adaptive modulation.Specifically,a Q-learning method is used to select the optimal modulation mode according to the channel quality quantified by signal-to-noise ratio,multipath spread length,and Doppler frequency offset.Experimental results demonstrate that the reinforcement learning-based adaptive modulation scheme outperformed fixed threshold detection in terms of total throughput and average bit error rate,surpassing conventional adaptive modulation strategies.
基金Supported by Chongqing Health Commission and Chongqing Science and Technology Bureau,No.2023MSXM182。
文摘Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.
文摘News is an important medium to transmit social information and reflect social reality. Its effects are irreplaceable and the news language which is a carrier to spread information is in fact influenced by many factors such as society, economy and culture. In order to exert its function to gain different social ends, the presentation of news language owns distinguishing features. This article starts from Verschueren's Adaption Theory to have the final conclusion that the adaption to the social, mental and physical world is the key element for the determination of the originality in news language.
基金supported by National Natural Science Foundation of China(Grant Nos.62162022,62162024)Hainan Provincial Natural Science Foundation of China(Grant Nos.723QN238,621RC612).
文摘With the rising adoption of blockchain technology due to its decentralized,secure,and transparent features,ensuring its resilience against network threats,especially Distributed Denial of Service(DDoS)attacks,is crucial.This research addresses the vulnerability of blockchain systems to DDoS assaults,which undermine their core decentralized characteristics,posing threats to their security and reliability.We have devised a novel adaptive integration technique for the detection and identification of varied DDoS attacks.To ensure the robustness and validity of our approach,a dataset amalgamating multiple DDoS attacks was derived from the CIC-DDoS2019 dataset.Using this,our methodology was applied to detect DDoS threats and further classify them into seven unique attack subcategories.To cope with the broad spectrum of DDoS attack variations,a holistic framework has been pro-posed that seamlessly integrates five machine learning models:Gate Recurrent Unit(GRU),Convolutional Neural Networks(CNN),Long-Short Term Memory(LSTM),Deep Neural Networks(DNN),and Support Vector Machine(SVM).The innovative aspect of our framework is the introduction of a dynamic weight adjustment mechanism,enhancing the system’s adaptability.Experimental results substantiate the superiority of our ensemble method in comparison to singular models across various evaluation metrics.The framework displayed remarkable accuracy,with rates reaching 99.71%for detection and 87.62%for classification tasks.By developing a comprehensive and adaptive methodology,this study paves the way for strengthening the defense mechanisms of blockchain systems against DDoS attacks.The ensemble approach,combined with the dynamic weight adjustment,offers promise in ensuring blockchain’s enduring security and trustworthiness.
基金The National Natural Science Foundation of China under contract Nos 31400186 and 31670199the Scientific Research Plan of Tianjin Municipal Education Committee under contract No.JW1705the Research Fund for Talented Scholars of Tianjin Normal University(2016)
文摘Based on specimens collected in Yinggehai, Hainan, China from 2013 to 2016, a stable epiphytic taxon is found on the surface of the individual of marine green alga Cladophora aokii Yamada. According to the morphological characteristics, the taxonomy of Cl. aokii and its epiphytes is carried out. There are some epiphytes attached on Cl. aokii Yamada including Cl. fascicularis （Mertens ex C. Agardh） Kfitzing, Chaetomorpha pachynerna （Montagne） Kiitzing, Cerarniurn carnouii Dawson, Licmophora abbreviata Agardh, Lyngbya sp. and Chattonella sp.. The formation of the individual of Cl. aokii is dissected and explained, which can help to analyze the adaption in details among this species, its epiphytes and native marine environment. The results reveal the marine macroepiphytic taxonomy in Ha/nan, China, and preliminarily explain the adaptive relationship between macroalgae and environment.
基金supported by the Paul and Harriett Campbell Fund for ALS Researchthe Zimmerman Family Love Fundthe Judith&Jean Pape Adams Charitable Foundation
文摘Neurodegenerative disease is a condition in which subpopulations of neuronal cells of the brain and spinal cord are selectively lost. A common event in many neurodegenerative diseases, such as Parkinson＇s disease （PD）, Alzheimer＇s disease （AD）, amyotrophic lateral sclerosis （ALS）, multiple sclerosis and prion diseases, is the increased level of endoplasmic reticulum （ER） stress caused by accumulation and deposits of inclusion bodies that contain abnormal aggregated proteins. However, the exact contributions to and causal effects of ER stress in neuron degeneration are not clear （Lindholm et al., 2006）.
基金supported in part by the national basic research program of China 973 program(NO.2012CB518200-G)Army major issue of comprehensive medical security research of flight crew in the plateau(N0.AKJ11J005)
文摘We designed two types of pre-adaption plans for this study. One was a pre-adaption training with progressive intermittent hypoxia, with a constant lower pressure oxygen tank used in the plain before arriving at the plateau （PG）. The other was by progressively increasing the time of exposure to hypoxia with oxygen supplied in stages after radical plateau （RG）. By testing the blood oxygen saturation （SpO2）, heart rate （HR）, and quality of sleep after arriving at the 3800 m high plateau, results showed that the pre-acclimatization and radical groups performed better than the control group （CG）. Both strategies were equivalent in terms of effects and principles in providing more flexible choices for acclimatization.
文摘This paper studies the problem of diagnosis strategy for a doubly fed induction motor (DFIM) sensor faults. This strategy is based on unknown input proportional integral (PI) multiobserver. Thecontribution of this paper is on one hand the creation of a new DFIM model based on multi-model approach and, on the other hand, the synthesis of an adaptive PI multi-observer. The DFIM Volt per Hertz drive system behaves as a nonlinear complex system. It consists of a DFIM powered through a controlled PWM Voltage Source Inverter (VSI). The need of a sensorless drive requires soft sensors such as estimators or observers. In particular, an adaptive Proportional-Integral multi-observer is synthesized in order to estimate the DFIM’s outputs which are affected by different faults and to generate the different residual signals symptoms of sensor fault occurrence. The convergence of the estimation error is guaranteed by using the Lyapunov’s based theory. The proposed diagnosis approach is experimentally validated on a 1 kW Induction motor. Obtained simulation results confirm that the adaptive PI multiobserver consent to accomplish the detection, isolation and fault identification tasks with high dynamic performances.
文摘Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and nonlinear connection of real neuron. The obtained results show that the model approximates to realistic principles of neural computation better than the available neural networks. The impulse-coded WTA(winner takes all) networks constructed with the above model find the winner more effectively than the analog WTA. Finally, the two important concepts: time competition and strength competition are introduced, which illustrate that the model has abilities to perform series and parallel information processing.
文摘Climate change adaptation is the process of preparing and actively adjusting to meet the climate change (negative effects and potential opportunities). Urban adaptation is aimed at the sensitivity level of risks and specific impacts of cities under the impact of climate change, and to develop policies and investment programs to reduce the vulnerability of cities to climate change risk. Urban adaptive action provides the basis and direction for the construction of urban resilience and sustainable development. Identifying the demand of adaption technologies, promoting the practical implementation of international technology transfer and reducing domestic emissions have important significance for the global response to climate change and improvement of the ability of urban adaptation. In this paper, through in-depth analysis on the concept and connotation of climate change, climate disasters and urban adaptation to climate change, the evaluation framework and steps of urban adaptation to climate change technology are determined, and six priority application technologies which can maximize the overall efficiency of sustainable development, improve the ability to adapt to climate change and at the same time reduce the cost at the greatest extent are identified.
基金supported in part by China“973”Program under Grant No.2014CB340303”ZTE Industry-Academia-Research Cooperation Funds
文摘Dynamic adaptive streaming over HTTP （DASH） has been widely deployed. However, large latency in HTTP/1.1 cannot meet the requirements of live streaming. Data- pushing in HTFP/2 is emerging as a promising technology. For video live over HTTP/2, new challenges arise due to both low-delay and small buffer constraints. In this paper, we study the rate adaption problem over HTFP/2 with the aim to improve the quality of experience （QoE） of live streaming. To track the dynamic characteristics of the streaming system, a Markov-theoretical approach is employed. System variables are taken into account to describe the system state, by which the system transi- tion probability is derived. Moreover, we design a dynamic reward function considering both the quality of user experience and dynamic system variables. Therefore, the rate adaption problem is formulated into a Markov decision based optimization problem and the best streaming policy is obtained. At last, the effectiveness of our proposed rate adaption scheme is demonstrated by numerous experiment results.
文摘Biodegradable magnesium （Mg） alloy stents are the most promising next generation of bio-absorbable stents. In this article, we summarized the progresses on the in vitro studies, animal testing and clinical trials of biodegradable Mg alloy stents in the past decades. These exciting findings led us to propose the importance of the concept ＂bio-adaption＂ between the Mg alloy stent and the local tissue microenvironment after implantation. The healing responses of stented blood vessel can be generally described in three overlapping phases： inflammation, granulation and remodeling. The ideal bio-adaption of the Mg alloy stent, once implanted into the blood vessel, needs to be a reasonable function of the time and the space/dimension. First, a very slow degeneration of mechanical support is expected in the initial four months in order to provide sufficient mechanical support to the injured vessels. Although it is still arguable whether full mechanical support in stented lesions is mandatory during the first four months after implantation, it would certainly be a safety design parameter and a benchmark for regulatory evaluations based on the fact that there is insufficient human in vivo data available, especially the vessel wall mechanical properties during the healing/remodeling phase. Second, once the Mg alloy stent being degraded, the void space will be filled by the regenerated blood vessel tissues. The degradation of the Mg alloy stent should be 100% completed with no residues, and the degradation products （e.g., ions and hydrogen） will be helpful for the tissue reconstruction of the blood vessel. Toward this target, some future research perspectives are also discussed.
文摘Background: An essential condition to improve patient safety is considered to ensure a supportive patient safety culture. Measuring the culture of patient safety in all health care institutions may be a first step to target improvements. Creating a culture of safety requires eliminating the culture of blame. In order to formulate actions for improvement, it is important for hospitals to assess their baseline scores for the existing safety culture and to determine the areas of priority. Aim: The aim of this study was first to measure the use, translation in Albanian and adaptation of the Hospital Survey on Patient Safety Culture (HSOPSC) assessment as a tool for improving patient safety in Kosovo Hospitals. The second aim was to measure the level of patient safety culture in Kosovo, in seven hospitals and one University Clinical Center (hospitals with over 50 beds, including psychiatric hospitals). Method: The questionnaire (HSOPSC) was translated into Albanian for use in the Kosovo. It was used forward-backward translation: the questions were translated into Albanian by one translator and then translated back into English by an independent translator who was blinded to the original questionnaire. Results: In the eight-factor model, the internal consistency of the factors and the construct validity of the HSOPSC questionnaire were mostly satisfactory. The construct validity was sufficient for all subscales, except for the 4 other subscale regarding intention to report incidents which correlated poorly with other subscales. In total, HSOPSC has 12 dimensions. Cronbach’s α showed that in Kosovarian society, we could use only 8 dimensions model. Conclusion: The hypothesis that HSOPSC would be a suitable instrument to provide important indicators for the improvement of patient safety culture was tested and it was confirmed, that HSOPSC could be used as 8 dimension model. HSOPSC is suitable to improve patient safety culture and provide each hospital with a basic profile on patient safety culture and recommendations for an oriented intervention plan.
文摘The purpose of this paper is to study effect factors of adaptation to university life of Chinese International Students in Korea. 374 Korean language trainees are chosen as investigation objects by means of random cluster sampling. Questionnaire data are collected by using the survey form and then paths of effect factors on adaption to university life of Korean training Chinese students in Korea are analyzed. The results indicate that Korean language proficiency, physical symptoms, loneliness, self-efficacy, acculturation stress are direct effect factors on Chinese students adapting to university life in Korea. Besides, Korean language proficiency, physical symptoms, loneliness are not only direct effect factors on self-efficacy and acculturation stress but also indirect effect factors on Chinese students adapting to university life in Korea. In order to improve ability of Korean training Chinese students adapting to university life in Korea, Korean language proficiency and self-efficacy should be improved. And, some effective interventions should be given to reducing physical symptoms, loneliness and acculturation stress.
基金financially supported by the National Natural Science Foundation of China(Nos.U21A20126 and 52006197)the National Science Foundation of Zhejiang Province(Nos.LQ21E060012 and LR20E090001)the Key Research and Development Program of Zhejiang Province(No.2021C05006)。
文摘The cavitating flow around a Delft Twist-11 hydrofoil is simulated using the large eddy simulation approach.The volume-of-fluid method incorporated with the Schnerr-Sauer cavitation model is utilized to track the water-vapor interface.Adaptive mesh refinement(AMR)is also applied to improve the simulation accuracy automatically.Two refinement levels are conducted to verify the dominance of AMR in predicting cavitating flows.Results show that cavitation features,including the U-type structure of shedding clouds,are consistent with experimental observations.Even a coarse mesh can precisely capture the phase field without increasing the total cell number significantly using mesh adaption.The predicted shedding frequency agrees fairly well with the experimental data under refinement level 2.This study illustrates that AMR is a promising approach to achieve accurate simulations for multiscale cavitating flows within limited computational costs.Finally,the force element method is currently adopted to investigate the lift and drag fluctuations during the evolution of cavitation structure.The mechanisms of lift and drag fluctuations due to cavitation and the interaction between vorticity forces and cavitation are explicitly revealed.
