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Influence of aerobic exercise on the cognitive and social functions of elderly patients with schizophrenia 认领 引用 被引量：1
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作者 Can Ao Lu Zhan +2 位作者 Yu-Lan Mou Shu Hu Yong-Hong Huang 《World Journal of Psychiatry》 SCIE 2026年第3期180-190,共11页
BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a nonin... BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a noninvasive intervention whose impact remains underexplored.AIM To investigate the effects of aerobic exercise on cognitive and social function in older patients with schizophrenia.METHODS A retrospective study was conducted in 158 older patients with schizophrenia treated at The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College(June 2023 and December 2024).The patients were divided into an observation group(n=86),which received 3 months of aerobic rehabilitation alongside routine treatment,and a control group(n=72),which received routine treatment alone.Cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery,social function using the Inpatient Psychiatric Rehabilitation Outcome Scale(IPROS),and psychotic symptoms using the Positive and Negative Syndrome Scale.RESULTS Post-treatment,Positive and Negative Syndrome Scale total scores were lower in the observation group than in the controls(P<0.001),with significant improvements in positive,negative,and general symptoms.Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery domain scores were improved in processing speed,working memory,verbal/visual learning,and executive function(all P<0.05).IPROS total scores were decreased(P<0.001),indicating better social functioning.Longer exercise duration correlated with greater cognitive gains and lower social function deficits.Body mass index declined(P<0.001),and adverse events were mild and transient(9.3%).Multivariate linear regression confirmed that aerobic exercise was independently associated with a significant reduction in IPROS scores(Adjustedβ=-4.57,95%confidence intervals:-6.08 to-3.05,P<0.001).CONCLUSION Aerobic exercise effectively improves cognitive function,social function,and psychotic symptoms in older patients with schizophrenia,is safe,and serves as a valuable adjunctive intervention. 展开更多
关键词 Schizophrenia Aerobic exercise Cognitive function Social function Elderly patients
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A full information expression model for track irregularity based on stochastic harmonic functions in vehicle-turnout structure stochastic vibration analysis 认领 引用 被引量：1
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作者 Xueyang Tang Xiaopei Cai +1 位作者 Jingmang Xu Fei Yang 《Railway Engineering Science》 EI 2026年第2期349-369,共21页
Turnout irregularity significantly affects the stochastic vibration behavior of vehicle-turnout structures.This study proposes a fitting formula for the turnout irregularity spectrum and develops a turnout irregularit... Turnout irregularity significantly affects the stochastic vibration behavior of vehicle-turnout structures.This study proposes a fitting formula for the turnout irregularity spectrum and develops a turnout irregularity full information expression model(TIFIEM)using a stochastic harmonic function.The model is applied to vehicle-turnout structure stochastic vibration and reliability analysis.Findings suggest that the Hamming window method,with a window length of 4096 points,is optimal for estimating the turnout irregularity spectrum.It is recommended to fit the power spectral density(PSD)using a 5th-order polynomial for better accuracy.The TIFIEM effectively addresses randomness in amplitude,frequency,and phase.An analysis of 250 irregularity samples is sufficient for the desired accuracy.Additionally,the PSD amplitude at various frequency points follows a Chi-square distribution with 2°of freedom.Regions 3-7 m from the tip of the switch rail on the straight switch rail and 53-54 m on the point rail are most susceptible to wear.When the vehicle passes through the turnout at 300 km/h,the reliability of vehicle-turnout structures at the crossing panel decreases to 95.8%. 展开更多
关键词 High-speed railway Vehicle-turnout coupling dynamics Turnout irregularity spectrum Stochastic harmonic function Probability density evolution method
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IMPROVEMENT ON HANKEL DETERMINANT BOUNDS FOR SPECIFIC HOLOMORPHIC FUNCTIONS 认领 引用
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作者 Huo TANG Muhammad ABBAS +1 位作者 Reem K.ALHEFTHI Muhammad ARIF 《Acta Mathematica Scientia》 SCIE CSCD 2026年第1期39-61,共23页
In recent years,researchers have extensively investigated the Hankel determinant,which consists of coefficients appearing in a holomorphic function’s Taylor-Maclaurin series.Hankel matrices are widely used in Markov ... In recent years,researchers have extensively investigated the Hankel determinant,which consists of coefficients appearing in a holomorphic function’s Taylor-Maclaurin series.Hankel matrices are widely used in Markov processes,non-stationary signals,and other mathematical disciplines.The aim of the current research article is to first improve the bounds of coefficient-related problems by employing the well-known Carathéodory function.The problems that we are going to improve were obtained by Tang et al.The sharp estimates of the most difficult problem of geometric function theory known as the third-order Hankel determinant are also contributed here.Zalcman and Fekete-Szegöinequalities are also studied here for the defined family of holomorphic functions. 展开更多
关键词 holomorphic function Carathéodory function Hankel determinant Zalcman inequality
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Differing functions of two CYP716 genes for saikosaponin biosynthesis in Bupleurum chinense 认领 引用 被引量：1
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作者 Kaimi Dong Hua Chen +14 位作者 Ma Yu Shiying Wang Xue Yin Chuanxin Mo Meng Zhang Yuchan Li Yong Luo Zeru Yu Zisong Yang Jun Zhao Chao Xin Wenshuai Chen Zhen Ni Zheyong Xue Jianhe Wei 《The Crop Journal》 SCIE CSCD 2026年第1期224-234,共11页
Saikosaponins are the major pharmacologically active components in Bupleurum genus and exhibit significant application potential in multiple fields such as immune regulation and anti-tumor activity.To elucidate the bi... Saikosaponins are the major pharmacologically active components in Bupleurum genus and exhibit significant application potential in multiple fields such as immune regulation and anti-tumor activity.To elucidate the biosynthetic pathway of saikosaponins,we identified two cytochrome P450 monooxygenases,CYP716A41 and CYP716Y4,in Bupleurum chinense.These enzymes catalyze the C-28 oxidation and C-16 hydroxylation of oleanane-type triterpene skeletons,respectively.The catalytic efficiency of CYP716A41 from a southern B.chinense variety was significantly higher than that from a northern variety.Molecular docking and mutagenesis experiments revealed that amino acid residues at sites 9 and 35 may contribute to this difference in catalytic efficiency.Additionally,under cold stress,the expression levels of both CYP450 genes and the saikosaponin contents in the leaves of southern varieties were significantly higher compared to those in northern varieties.The variation in the catalytic efficiency of CYP716A41 and the differential expression of the two CYP450 genes under cold stress during winter are associated with the differences in saikosaponin biosynthesis in the leaves of southern and northern B.chinense varieties.This is consistent with the distinct medicinal usage practices observed between southern and northern China. 展开更多
关键词 Bupleurum chinense Medicinal tissue utilization Saikosaponin biosynthesis pathway CYP716 Functional verification
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ADVANCEMENTS IN LOG-P-ANALYTIC FUNCTIONS:LANDAU-TYPE THEOREMS AND THEIR REFINEMENTS 认领 引用
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作者 Hanghang ZHAO Mingsheng LIU Kit Ian KOU 《Acta Mathematica Scientia》 SCIE CSCD 2026年第3期1139-1155,共17页
This work begins by introducing the groundbreaking concept of log-p-analytic functions.Following this introduction,we proceed to delineate four distinct formulations of Landau-type theorems,specifically crafted for th... This work begins by introducing the groundbreaking concept of log-p-analytic functions.Following this introduction,we proceed to delineate four distinct formulations of Landau-type theorems,specifically crafted for the domain of poly-analytic functions.Among these,two theorems are distinguished by their exactitude,and a third theorem offers a refinement to the existing work of Abdulhadi and Hajj.Concluding the paper,we present four specialized versions of Landau-type theorems applicable to a subset of bounded log-p-analytic functions,resulting in the derivation of two precise outcomes. 展开更多
关键词 Landau-type theorem Bloch theorem poly-analytic function log-p-analytic function univalent
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The Dependence of Conditional Stellar Mass Functions on the Cosmic Web Environment in the TNG50 Simulation 认领 引用
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作者 Wenxiao Xu Tianchi Zhang +1 位作者 Xuan Wang Zhenhui Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第6期208-218,共11页
We study the dependence of conditional stellar mass functions(CSMFs)on the cosmic-web environment using the TNG50 cosmological hydrodynamical simulation at z=0.By classifying host haloes into voids,sheets,filaments,an... We study the dependence of conditional stellar mass functions(CSMFs)on the cosmic-web environment using the TNG50 cosmological hydrodynamical simulation at z=0.By classifying host haloes into voids,sheets,filaments,and knots,we examine satellite and central galaxy populations over the host-mass range resolved in TNG50.Satellite CSMFs show systematic environment-dependent variations,with the clearest differences emerging at the faint end.In a representative low-mass host regime(log10(M200c/[M⊙h-1])∈[11.5,12.0]),the satellite faint-end slope is shallower in filaments(α■-0.38)than in sheets(α■-0.48),suggestive of a balance between anisotropic supply along filaments and subsequent environmental processing.For central galaxies,we observe a crossover-like trend in dwarf-scale hosts(log10(M200c/[M⊙h-1])∈[11.0,11.5]):knots and filaments exhibit a more extended high-M* tail,whereas voids and sheets host a higher fraction of low-mass centrals.Overall,our results suggest that the cosmic web environment imprints secondary,mass-dependent modulations on galaxy stellar mass distributions beyond halo mass alone,most clearly for faint satellites. 展开更多
关键词 (cosmology:)large scale structure of universe galaxies:luminosity function:mass function hydrodynamics galaxies:statistics
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Regulatory mechanisms and adaptive functions of small RNAs in extremophilic microorganisms 认领 引用
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作者 JIANG Wanning DUAN Zedong +4 位作者 LAI Tingyi ZHANG Siqi YU Yong DING Haitao LIAO Li 《Advances in Polar Science》 CSCD 2026年第1期35-42,共8页
Small RNAs(sRNAs)are important non-coding RNAs that usually play crucial roles in gene expression at the post-transcriptional level.The sRNAs have mostly been investigated in model microorganisms such as Escherichia c... Small RNAs(sRNAs)are important non-coding RNAs that usually play crucial roles in gene expression at the post-transcriptional level.The sRNAs have mostly been investigated in model microorganisms such as Escherichia coli and some pathogens.Nevertheless,microbial sRNAs from extreme environments such as the polar regions and deep sea have recently been discovered and analyzed for their unique roles in stress response,metabolic regulation and adaptation to extreme environments.These sRNAs fine-tune gene expression during oxidative and radiation stress,and modulate temperature and osmotic pressure responses.Representative sRNAs and their functions in thermophilic,psychrophilic,halophilic and radiation-tolerant bacteria are summarized in this review.Despite challenges in sample collection,RNA isolation,and functional annotation,the study of sRNAs in extreme environments provides opportunities for discovering novel regulatory mechanisms,applying them to biotechnology,and advancing our understanding of evolutionary adaptations.Looking ahead,high-throughput sequencing,synthetic biology,and multi-omics integration will bring new breakthroughs in discovering novel sRNAs and their functions and regulatory mechanisms.Such advancements are poised to enable comprehensive characterization of sRNA-mediated regulatory networks in extremophiles and unlock their biotechnological potential through mechanism-driven applications. 展开更多
关键词 small RNAs extremophilic microorganisms regulatory mechanisms adaptive functions
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Boundary effects on modal shape in deep ocean via non-integer order parabolic cylinder functions 认领 引用
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作者 Jian-Kang Zhan Sheng-Chun Piao Li-Jia Gong 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第2期469-474,共6页
This study investigates the effects of ocean boundaries on modal shapes in very-low-frequency(VLF,1–10 Hz)sound propagation through the deep ocean.Utilizing a normal mode solution formulated in terms of parabolic cyl... This study investigates the effects of ocean boundaries on modal shapes in very-low-frequency(VLF,1–10 Hz)sound propagation through the deep ocean.Utilizing a normal mode solution formulated in terms of parabolic cylinder functions(PCF),we demonstrate that boundary interactions induce a phase change reduction below-πat frequencies of several hertz.This reduction,in turn,forces a key transition in the solution,shifting the order of the PCF from integer to non-integer values.Analysis of the characteristic shape of the PCF versus its order reveals that these boundary-influenced modes exhibit an energy shift toward deeper regions and a weakened axial convergence of the underwater sound field. 展开更多
关键词 very-low-frequency sound propagation normal modes parabolic cylinder function
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Adaptive Meta-Loss Networks:Learning Task-Agnostic Loss Functions via Evolutionary Optimization 认领 引用
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作者 Mirna Yunita Xiabi Liu +1 位作者 Zhaoyang Hai Rachmat Muwardi 《Computers, Materials & Continua》 SCIE EI 2026年第5期1931-1949,共19页
Designing appropriate loss functions is critical to the success of supervised learning models.However,most conventional losses are fixed and manually designed,making them suboptimal for diverse and dynamic learning sc... Designing appropriate loss functions is critical to the success of supervised learning models.However,most conventional losses are fixed and manually designed,making them suboptimal for diverse and dynamic learning scenarios.In this work,we propose an Adaptive Meta-Loss Network(Adaptive-MLN)that learns to generate taskagnostic loss functions tailored to evolving classification problems.Unlike traditional methods that rely on static objectives,Adaptive-MLN treats the loss function itself as a trainable component,parameterized by a shallow neural network.To enable flexible,gradient-free optimization,we introduce a hybrid evolutionary approach that combines GeneticAlgorithms(GA)for global exploration and Evolution Strategies(ES)for local refinement.This co-evolutionary process dynamically adjusts the loss landscape,improvingmodel generalization without relying on analytic gradients or handcrafted heuristics.Experimental evaluations on synthetic tasks and the CIFAR-10 andMNIST datasets demonstrate that our approach consistently outperforms standard losses such as Cross-Entropy and Mean Squared Error in terms of accuracy,convergence,and adaptability. 展开更多
关键词 Meta-learning adaptive loss function task-agnostic optimization evolutionary strategy genetic algorithm classification
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The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot 认领 引用
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作者 Jiajun Chen Chuntao Liang Rui Xu 《Earthquake Science》 CAS CSCD 2026年第2期140-155,共16页
This paper proposes a fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plots.Receiver functions are essential tools in seismology,particularly for analyzing seismic wave propagat... This paper proposes a fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plots.Receiver functions are essential tools in seismology,particularly for analyzing seismic wave propagation and subsurface structures,such as the crust and upper mantle.However,the quality control of receiver functions is often a tedious,time-consuming process.In this study,we transform the time series classification problem of receiver function quality control problem into an image classification task by plotting receiver functions as wiggle diagrams and using the deep learning model AlexNet for binary classification to distinguish between“good”and“bad”receiver functions.The model achieved an accuracy of 92.55%on the testing set and demonstrated strong generalization performance with an accuracy of 89.23%on receiver functions of another seismic network(Sichuan Provincial Permanent Seismic Network).While maintaining strong performance,the model is capable of processing approximately 32 receiver function wiggle plots per second on an NVIDIA GeForce RTX 4050.The results show that the proposed feature mapping strategy significantly improves the efficiency and accuracy of receiver function quality control,making it a valuable tool for practical applications.Future work will focus on expanding the dataset and optimizing model performance for broader seismic data applications. 展开更多
关键词 receiver function automated quality control deep learning AlexNet wiggle plot
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FRE-Net:A Fuzzy Richards Functions-Based Ensemble Network for Brain Tumor Detection 认领 引用
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作者 Arash Hekmat Omair Bilal +2 位作者 Zuping Zhang Saif Ur Rehman Khan Sohaib Asif 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期1217-1239,共23页
Accurate classification of brain tumors from medical images is essential for enabling timely diagnosis and effective treatment.This study aimed to develop an innovative method for the diagnosis of brain tumors through... Accurate classification of brain tumors from medical images is essential for enabling timely diagnosis and effective treatment.This study aimed to develop an innovative method for the diagnosis of brain tumors through a Fuzzy Richards Functions-based Ensemble Network(FRE-Net).The parameters of the Richards function are optimized through Grid Search(GS)for selecting an optimal set of parameters.Our proposed method integrates three well-established pre-trained Convolutional Neural Networks(CNNs):MobileNetV1,MobileNetV2,ResNet50V2.To increase the robustness of these models,we incorporate a novel Lightweight Multiscale with Squeeze and Excitation(LiteMSSE)Block,which improves performance by enhancing multi-scale feature extraction and enabling the network to capture more detailed spatial information for focusing on the most relevant features to improve overall diagnostic performance.Additionally,probabilities from the individual models are aggregated using a Fuzzy Richards Functions approach,which reduces the error between observed and ground truth data,further enhancing detection accuracy.The key innovation of this study lies in the design of novel LiteMSSE Block and use of Fuzzy Richard Function,which together enhance multi-scale feature extraction and combines diverse model predictions intelligently.The proposed FRE-Net method achieves an impressive accuracy of 98.47%on the four-class Kaggle dataset and 99.00%on the BR35H dataset by highlighting its potential as a powerful tool for diagnosis of brain MRI more precisely.Through extensive evaluations,we determine that our proposed ensemble method outperforms individual backbone models and existing methods. 展开更多
关键词 Deep learning Fuzzy richards functions Ensemble network Convolutional neural network Brain tumor classification
A Cauchy integral formula and the related properties for inframonogenic functions valued in the Clifford algebra depending on parameters 认领 引用
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作者 DU Xiao-jing LIANG Xiao-tong XIE Yong-hong 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2026年第2期314-327,共14页
Firstly,we obtain a Cauchy integral formula for inframonogenic functions which are solutions to the sandwich equation DfD=0 in the framework of parameter-depending Cliffordtype algebras.Secondly,the properities relati... Firstly,we obtain a Cauchy integral formula for inframonogenic functions which are solutions to the sandwich equation DfD=0 in the framework of parameter-depending Cliffordtype algebras.Secondly,the properities relating to Cauchy integral operators are discussed.Finally,the decompositions of the inframonogenic function are given. 展开更多
关键词 inframonogenic function Cauchy integral formula Clifford algebra depending on parameter
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Infinite Families of Congruences Modulo 32 for Some Restricted Overpartition Functions 认领 引用
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作者 Wang Sijia Yao Olivia X M 《Journal of Mathematical Research with Applications》 CSCD 2026年第4期427-434,共8页
Recently,Baruah and Bandyopadhyay proved a number of congruences modulo 2,4,8 and 16 for p1,7(n),p1,4,7(n),p3,5(n)and p3,4,5(n),which count the number of overpartitions of a positive integer n into parts c... Recently,Baruah and Bandyopadhyay proved a number of congruences modulo 2,4,8 and 16 for p1,7(n),p1,4,7(n),p3,5(n)and p3,4,5(n),which count the number of overpartitions of a positive integer n into parts congruent to±1 modulo 8,congruent to±1 or 4 modulo 8,congruent to±3 modulo 8 and congruent to±3 or 4 modulo 8,respectively.At the end of their paper,they asked for congruences modulo 2k(k≥5)for those restricted overpartition functions.Motivated by their open problem,we prove several infinite families of congruences modulo 32 for p1,7(n),p1,4,7(n),p3,5(n)and p3,4,5(n). 展开更多
关键词 congruences overpartitions restricted overpartitions theta functions
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BFROU: A Reconfigurable Operation Unit Design Approach Using NPN Equivalence and Reed-Muller Logic Unit for Boolean Functions in Stream Ciphers 认领 引用
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作者 Zhaoxu Zhou Yanjiang Liu +1 位作者 Zibin Dai Junwei Li 《Computers, Materials & Continua》 SCIE EI 2026年第8期806-832,共27页
Stream ciphers are simple to implement and fast at encrypting and decrypting data,making them very important in information security.Boolean functions are a core part of stream ciphers.However,their mainstream hardwar... Stream ciphers are simple to implement and fast at encrypting and decrypting data,making them very important in information security.Boolean functions are a core part of stream ciphers.However,their mainstream hardware implementations face two main problems,including wasted area resources and excessive critical path delay.These issues limit the energy efficiency and integration level of stream cipher chips.To address these problems,this paper proposes an energy-efficient design method for a 64-bit Boolean function reconfigurable operation unit(BFROU),aiming to improve the computational efficiency of Boolean functions in stream ciphers.To optimize the design of BFROU,this paper takes the NPN equivalence theory as a guide.First,customized designs at the transistor level were performed for both 2-and 3-variable RM logic units(denoted as TRM).On this basis,this paper uses the port sharing strategy to further optimize the design of 4-to-6-variable TRM logic units and construct a multi-variable TRM process library.Then,by combining multi-variable TRM logic units with the mathematical definition of Boolean functions,this paper proposes a theoretical model of BFROU.Based on this model and combined with the statistical analysis results of Boolean functions,the optimal TRM unit configuration is determined,and the overall optimization of the 64-bit BFROU is finally completed.Experimental results show that when TRM-3 and TRM-4 units are mixed as the first-level operation module of BFROU,its area-delay product(ADP)reaches the minimum.The 64-bit BFROU unit implemented according to this scheme has an actual measured area of 137.28μm2 and a critical path delay of 0.278 ns under the SMIC 40 nm typical process corner.This unit supports Boolean function operations with up to 64 variables,and 94.4%of the functions can complete mapping within 2 iterations.Compared with existing schemes such as look-up table(LUT)architecture and And-Inverter Cone(AIC)array,the BFROU proposed in this paper has obvious advantages in area,delay,ADP and number of iterations,providing effective hardware support for the design of high-energy-efficiency stream cipher chips. 展开更多
关键词 Boolean function reconfigurable operation unit stream cipher TRM units NPN equivalence theory
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Exploring mitochondrial functions and dysfunctions in chondrocytes:toward the identification of novel therapies for osteoarthritis 认领 引用
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作者 Lucie Danet Jérôme Guicheux +1 位作者 Marie-Astrid Boutet Claire Vinatier 《Bone Research》 SCIE CAS CSCD 2026年第3期688-704,共17页
Mitochondria are essential organelles primarily described for their vital role in producing energy through oxidative phosphorylation(OxPhos).Due to the hypoxic environment of chondrocytes and their heavy reliance on g... Mitochondria are essential organelles primarily described for their vital role in producing energy through oxidative phosphorylation(OxPhos).Due to the hypoxic environment of chondrocytes and their heavy reliance on glycolysis,mitochondrial functions have long been considered of minimal relevance in these cells.However,as major suppliers of energy through the ATP they produce by OxPhos,mitochondria help to regulate the balance between anabolism and catabolism.In osteoarthritis(OA),the most prevalent joint disease,this balance is dysregulated.In addition,correlations between metabolic disorders and the risk of developing OA are also increasingly studied.In this context,mitochondrial dysfunctions in OA chondrocytes are emerging as a relevant area to propose efficient,yet unavailable,disease-modifying OA drugs(DMOADs).This narrative review examines the underlying mechanisms by which the mitochondrial functions become dysregulated in chondrocytes during OA.Drawing on up-to-date literature,it highlights how both structural and functional alterations of mitochondria contribute to OA pathology in chondrocytes.Finally,this review discusses the potential of mitochondria-targeted therapeutic strategies for OA,framed within a conceptual“repair or replace”approach. 展开更多
关键词 oxidative phosphorylation oxidative phosphorylation oxphos due chondrocytes mitochondrial dysfunctions osteoarthritis regulate balance anabolism catabolismin mitochondria mitochondrial functions
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Neural boundary shape functions in physics-informed neural networks for discontinuous and high-frequency problems 认领 引用
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作者 P.T.NGUYEN K.A.LUONG J.H.LEE 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第2期423-442,共20页
Physics-informed neural networks(PINNs)have been shown as powerful tools for solving partial differential equations(PDEs)by embedding physical laws into the network training.Despite their remarkable results,complicate... Physics-informed neural networks(PINNs)have been shown as powerful tools for solving partial differential equations(PDEs)by embedding physical laws into the network training.Despite their remarkable results,complicated problems such as irregular boundary conditions(BCs)and discontinuous or high-frequency behaviors remain persistent challenges for PINNs.For these reasons,we propose a novel two-phase framework,where a neural network is first trained to represent shape functions that can capture the irregularity of BCs in the first phase,and then these neural network-based shape functions are used to construct boundary shape functions(BSFs)that exactly satisfy both essential and natural BCs in PINNs in the second phase.This scheme is integrated into both the strong-form and energy PINN approaches,thereby improving the quality of solution prediction in the cases of irregular BCs.In addition,this study examines the benefits and limitations of these approaches in handling discontinuous and high-frequency problems.Overall,our method offers a unified and flexible solution framework that addresses key limitations of existing PINN methods with higher accuracy and stability for general PDE problems in solid mechanics. 展开更多
关键词 physics-informed neural network(PINN) boundary shape function(BSF) strong-form approach energy approach discontinuity high-frequency problem
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Femtoscopic Correlation Functions for General Partial Waves:Application to the Ʌ(1520) Resonance 认领 引用
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作者 Si-Wei Liu Ju-Jun Xie 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第5期18-24,共7页
The femtoscopic correlation function has been established in recent years as a high-precision tool for investigating hadrons hadron interactions and exotic states,providing stringent constraints on the dynamics of low... The femtoscopic correlation function has been established in recent years as a high-precision tool for investigating hadrons hadron interactions and exotic states,providing stringent constraints on the dynamics of low-energy strong interactions.However,current research has been predominantly focused on the s-wave interaction between hadrons,while studies of higher partial waves remain scarce.We present a general analytical expression for the femtoscopic correlation function in an arbitrary partial wave using the Lippmanns Schwinger equation.This formalism is applied to constrain the d-wave K-p scattering through a combined study of the K-p correlation function and the D03scattering amplitude of KN→KN and KN→π∑processes,from which the properties ofɅ(1520)are extracted and found to be in good agreement with the experimental results.These findings demonstrate the feasibility of determining dynamics between hadrons through femtoscopic correlation functions and scattering amplitudes with higher partial waves. 展开更多
关键词 investigating hadrons hadron Lippmann Schwinger equation femtoscopic correlation function K p scattering partial wave d wave
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The Analysis of Gauss Radial Basis Functions and Its Application in Locating Olivine on the Moon 认领 引用
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作者 SONG Shicang SONG Xiaoyuan SONG Shuhan 《应用数学》 北大核心 2026年第1期173-181,共9页
Gauss radial basis functions(GRBF)are frequently employed in data fitting and machine learning.Their linear independence property can theoretically guarantee the avoidance of data redundancy.In this paper,one of the m... Gauss radial basis functions(GRBF)are frequently employed in data fitting and machine learning.Their linear independence property can theoretically guarantee the avoidance of data redundancy.In this paper,one of the main contributions is proving this property using linear algebra instead of profound knowledge.This makes it easy to read and understand this fundamental fact.The proof of linear independence of a set of Gauss functions relies on the constructing method for one-dimensional space and on the deducing method for higher dimensions.Additionally,under the condition of preserving the same moments between the original function and interpolating function,both the interpolating existence and uniqueness are proven for GRBF in one-dimensional space.The final work demonstrates the application of the GRBF method to locate lunar olivine.By combining preprocessed data using GRBF with the removing envelope curve method,a program is created to find the position of lunar olivine based on spectrum data,and the numerical experiment shows that it is an effective scheme. 展开更多
关键词 Gauss function Radial basis function Machine learning Lunar olivine locating Data fitting
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Zinc and animal health:an in-depth exploration of its role in physiological functions and regulatory molecular mechanisms 认领 引用
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作者 Zhaolong Cai Jingjing Wang +4 位作者 Yuxi Zhang Xiaohan Li Jilong Luo Xuejiao Gao Mengyao Guo 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2026年第2期613-636,共24页
Zinc,an essential trace element,plays a pivotal role in maintaining animal health and physiological functions.This review comprehensively examines zinc metabolism—including absorption dynamics across species(poultry,... Zinc,an essential trace element,plays a pivotal role in maintaining animal health and physiological functions.This review comprehensively examines zinc metabolism—including absorption dynamics across species(poultry,ruminants,and non-ruminants),transport mechanisms,storage in tissues,e.g.,the liver,and excretion pathways—and its multifaceted effects on animal health.Zinc critically regulates aspects of growth and development,particularly bone formation,as its deficiency induces skeletal deformities in young animals.It modulates immune function through zinc finger proteins,influencing immune organ integrity,lymphocyte proliferation,and cytokine expression.Reproductive performance is significantly affected by zinc,with its deficiency causing impaired spermatogenesis;delayed sexual maturity in males;and reduced litter size,embryonic survival,and placental function in females.At the molecular level,zinc regulates the activity of enzymes(e.g.,SOD),signaling pathways(MAPK,NF-κB),and transcription factors(MTF-1,Sp1)to maintain homeostasis.Both zinc deficiency(due to dietary insufficiency,malabsorption,or physiological stress)and zinc excess(from environmental pollution or feed oversupplementation)adversely affect health,disrupting mineral balance,enzyme function,and gut microbiota.In animal production,inorganic(zinc oxide,zinc sulfate)and organic(zinc methionine)sources of zinc increase growth,immunity,and productivity,although sustainable strategies are needed to mitigate environmental risks.Future research should focus on novel zinc formulations,precision nutrition,and interactions with gut microbiota to optimize livestock health and sustainable husbandry. 展开更多
关键词 Animal health Growth and development Immune function Reproductive performance Zinc deficiency and excess
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Network perspective on childhood trauma and non-suicidal selfinjury behaviors and functions in adolescents with depressive disorders 认领 引用
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作者 Fang-Fang Zhang Ming-Fang Ma +5 位作者 Li-Na Zhou Rui Gao Rui Guo Wei Yang Xing-Li Liang Jing Wang 《World Journal of Psychiatry》 SCIE 2026年第7期337-346,共10页
BACKGROUND Childhood trauma is a well-established risk factor for non-suicidal self-injury(NSSI)in adolescents with depressive disorder.However,whether trauma subtypes relate differently to specific NSSI behaviors and... BACKGROUND Childhood trauma is a well-established risk factor for non-suicidal self-injury(NSSI)in adolescents with depressive disorder.However,whether trauma subtypes relate differently to specific NSSI behaviors and their underlying functional motivations are unclear.Understanding these patterns is crucial for identifying the pathways linking early adverse experiences to self-injury.We hypothesized that distinct trauma subtypes associate differently with specific NSSI behaviors and functional motivations.AIM To investigate the network linking childhood trauma,NSSI behaviors,and functional motivations in adolescents with depressive disorder.METHODS We conducted a cross-sectional study of 427 adolescents aged 12-18 years with depressive disorders in the psychiatric ward of a general hospital.Childhood maltreatment was assessed using the Childhood Trauma Questionnaire-Short Form,and NSSI behavior and functional motivation with the adolescent NSSI Assessment Questionnaire.A Gaussian graphical model with graphical least absolute shrinkage and selection operator regularization was applied to estimate the network structure and central and bridge indices.RESULTS The network contained 29 nonzero edges.Emotional abuse(EA)showed the highest centrality(expected influence=1.42).The strongest trauma-NSSI association was between EA and non-damaging self-injury(NDSI;weight=0.10).NDSI demonstrated the highest bridge expected influence of 1.75.Of the functional motivations,automatic negative reinforcement showed the strongest association with emotion expression(weight=0.43).The network structure exhibited good accuracy,with adequate stability of the centrality estimates(correlation stability coefficient=0.75).CONCLUSION Childhood trauma is distinctly associated with NSSI behaviors and functions.EA and NDSI are the key nodes that may inform symptom-level understanding of adolescents with depressive disorders. 展开更多
关键词 Depressive disorders Adolescents Network analysis Childhood trauma Non-suicidal self-injury Functional motivations
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