Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for long...Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for longitudinal hypertrophy.Methods:We included studies that satisfied the following criteria:(1)be a resistance training intervention with a comparison of LML vs SML-RT;(2)assess both fascicle length(FL)and muscle size pre-and post-intervention;(3)involve healthy adults aged≥18 years;(4)be published in an English-language journal,and;(5)have a minimum training intervention duration of 4 weeks.Three databases were searched in February 2024(Google Scholar,PubMed/Medline,Scopus)for relevant articles,alongside'forward'and'backward'citation searching of articles included and additions via authors'personal knowledge.The results of studies were described narratively,compared,and contrasted.Eight studies met the inclusion criteria,totaling a sample size of 120.Results:Our results suggest that both muscle size and fascicle length increases may be greater following LML-RT versus SML-RT,suggesting LML-RT may lead to greater longitudinal hypertrophy than SML-RT.Notably,evidence is largely mixed;no studies to date have attempted to estimate serial sarcomere number changes from LML versus SML-RT,and all but one study used linear extrapolation methods to estimate FL,which has questionable validity.Therefore,the structural adaptations underlying hypertrophy from LML-RT remain undetermined.Conclusion:In conclusion,results suggest that LML-RT may be superior to SML-RT for inducing muscle hypertrophy and,more specifically,longitudinal growth,though evidence is mixed.展开更多
This research proposes an improved Puma optimization algorithm(IPuma)as a novel dynamic recon-figuration tool for a photovoltaic(PV)array linked in total-cross-tied(TCT).The proposed algorithm utilizes the Newton-Raph...This research proposes an improved Puma optimization algorithm(IPuma)as a novel dynamic recon-figuration tool for a photovoltaic(PV)array linked in total-cross-tied(TCT).The proposed algorithm utilizes the Newton-Raphson search rule(NRSR)to boost the exploration process,especially in search spaces with more local regions,and boost the exploitation with adaptive parameters alternating with random parameters in the original Puma.The effectiveness of the introduced IPuma is confirmed through comprehensive evaluations on the CEC’20 benchmark problems.It shows superior performance compared to both established and modern metaheuristic algorithms in terms of effectively navigating the search space and achieving convergence towards near-optimal regions.The findings indicated that the IPuma algorithm demonstrates considerable statistical promise and surpasses the performance of competing algorithms.In addition,the proposed IPuma is utilized to reconfigure a 9×9 PV array that operates under different shade patterns,such as lower triangular(LT),long wide(LW),and short wide(SW).In addition to other programmed approaches,such as the Whale optimization algorithm(WOA),grey wolf optimizer(GWO),Harris Hawks optimization(HHO),particle swarm optimization(PSO),gravitational search algorithm(GSA),biogeography-based optimization(BBO),sine cosine algorithm(SCA),equilibrium optimizer(EO),and original Puma,the indicated method is contrasted to the traditional configurations of TCT and Sudoku.In addition,the metrics of mismatch power loss,maximum efficiency improvement,efficiency improvement ratio,and peak-to-mean ratio are calculated to assess the effectiveness of the indicated approach.The proposed IPuma improved the generated power by 36.72%,28.03%,and 40.97%for SW,LW,and LT,respectively,outperforming the TCT configuration.In addition,it achieved the best maximum efficiency improvement among the algorithms considered,with 26.86%,21.89%,and 29.07%for the examined patterns.The results highlight the superiority and competence of the proposed approach in both convergence rates and stability,as well as applicability to dynamically reconfigure the PV system and enhance its harvested energy.展开更多
The partial discharge occurring in the weak part of the insulation of a converter transformer results in the formation of a large number of bubbles in the insulating oil.The migration,deformation,and other dynamic beh...The partial discharge occurring in the weak part of the insulation of a converter transformer results in the formation of a large number of bubbles in the insulating oil.The migration,deformation,and other dynamic behaviors of bubbles in the region of a strong electric field can cause them to easily accumulate into“small bridges”of impurities that can lead to breakdown of the oil gap.The authors of this study experimentally investigate and discuss the mechanisms of migration and deformation of bubbles in oil during partial discharge under composite AC/DC voltage to clarify their dynamic behaviors.The influence of the initial position of the bubbles on their trajectory of migration and velocity as well as the morphological changes occurring in them are analyzed using numerical simulations.The results show that the bubbles move away from the strong electric field due to the action of the dielectrophoretic force.The interface of the bubbles is longitudinally stretched under the action of the electrostrictive force and the vertical component of the drag force and gradually recovers to assume a spherical shape under the influence of surface tension and the horizontal component of the drag force.展开更多
Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunitie...Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunities and challenges.As RL continues to demonstrate remarkable success in model-free and partially observable environments,its real-world deployment increasingly requires effective collaboration with human operators and stakeholders.This article systematically examines HAII techniques in RL through both theoretical analysis and practical case studies.We establish a conceptual framework built upon three fundamental pillars of effective human-AI collaboration:computational trust modeling,system usability,and decision understandability.Our comprehensive review organizes HAII methods into five key categories:(1)learning from human feedback,including various shaping approaches;(2)learning from human demonstration through inverse RL and imitation learning;(3)shared autonomy architectures for dynamic control allocation;(4)human-in-the-loop querying strategies for active learning;and(5)explainable RL techniques for interpretable policy generation.Recent state-of-the-art works are critically reviewed,with particular emphasis on advances incorporating large language models in human-AI interaction research.To illustrate some concepts,we present three detailed case studies:an empirical trust model for farmers adopting AI-driven agricultural management systems,the implementation of ethical constraints in roboticmotion planning through human-guided RL,and an experimental investigation of human trust dynamics using a multi-armed bandit paradigm.These applications demonstrate how HAII principles can enhance RL systems’practical utility while bridging the gap between theoretical RL and real-world human-centered applications,ultimately contributing to more deployable and socially beneficial intelligent systems.展开更多
The ubiquity of mobile devices has driven advancements in mobile object detection.However,challenges in multi-scale object detection in open,complex environments persist due to limited computational resources.Traditio...The ubiquity of mobile devices has driven advancements in mobile object detection.However,challenges in multi-scale object detection in open,complex environments persist due to limited computational resources.Traditional approaches like network compression,quantization,and lightweight design often sacrifice accuracy or feature representation robustness.This article introduces the Fast Multi-scale Channel Shuffling Network(FMCSNet),a novel lightweight detection model optimized for mobile devices.FMCSNet integrates a fully convolutional Multilayer Perceptron(MLP)module,offering global perception without significantly increasing parameters,effectively bridging the gap between CNNs and Vision Transformers.FMCSNet achieves a delicate balance between computation and accuracy mainly by two key modules:the ShiftMLP module,including a shift operation and an MLP module,and a Partial group Convolutional(PGConv)module,reducing computation while enhancing information exchange between channels.With a computational complexity of 1.4G FLOPs and 1.3M parameters,FMCSNet outperforms CNN-based and DWConv-based ShuffleNetv2 by 1%and 4.5%mAP on the Pascal VOC 2007 dataset,respectively.Additionally,FMCSNet achieves a mAP of 30.0(0.5:0.95 IoU threshold)with only 2.5G FLOPs and 2.0M parameters.It achieves 32 FPS on low-performance i5-series CPUs,meeting real-time detection requirements.The versatility of the PGConv module’s adaptability across scenarios further highlights FMCSNet as a promising solution for real-time mobile object detection.展开更多
The augmented evolution equation is established under the framework of the Variation Evolving Method(VEM)that seeks optimal solutions by solving the transformed Initial-Value Problems(IVPs).To improve the numerical pe...The augmented evolution equation is established under the framework of the Variation Evolving Method(VEM)that seeks optimal solutions by solving the transformed Initial-Value Problems(IVPs).To improve the numerical performance,its compact form is developed herein.Through replacing the states and costates variation evolution with that of the controls,the dimension-reduced Evolution Partial Differential Equation(EPDE)only solves the control variables along the variation time to get the optimal solution,and the initial conditions for the definite solution may be arbitrary.With this equation,the scale of the resulting IVPs,obtained via the semi-discrete method,is significantly reduced and they may be solved with common Ordinary Differential Equation(ODE)integration methods conveniently.Meanwhile,the state and the costate dynamics share consistent stability in the numerical computation and this avoids the intrinsic numerical difficulty as in the indirect methods.Numerical examples are solved and it is shown that the compact form evolution equation outperforms the primary form in the precision,and the efficiency may be higher for the dense discretization.Actually,it is uncovered that the compact form of the augmented evolution equation is a continuous realization of the Newton type iteration mechanism.展开更多
Partial least squares (PLS) model maximizes the covariance between process variables and quality variables,making it widely used in quality-related fault detection.However,traditional PLS methods focus primarily on li...Partial least squares (PLS) model maximizes the covariance between process variables and quality variables,making it widely used in quality-related fault detection.However,traditional PLS methods focus primarily on linear processes,leading to poor performance in dynamic nonlinear processes.In this paper,a novel quality-related fault detection method,named DiCAE-PLS,is developed by combining dynamic-inner convolutional autoencoder with PLS.In the proposed DiCAE-PLS method,latent features are first extracted through dynamic-inner convolutional autoencoder (DiCAE) to capture process dynamics and nonlinearity from process variables.Then,a PLS model is established to build the relationship between the extracted latent features and the final product quality.To detect quality-related faults,Hotelling's T^(2) statistic is employed.The developed quality-related fault detection is applied to the widely used industrial benchmark of the Tennessee.展开更多
Model checking is crucial in statistical analyses and has garnered significant attention in the academic literature.However,certain challenges persist in scenarios that involve large-scale datasets and limited resourc...Model checking is crucial in statistical analyses and has garnered significant attention in the academic literature.However,certain challenges persist in scenarios that involve large-scale datasets and limited resource allocations.This research introduces a novel subsampling methodology for testing regression models with continuous and categorical predictors,referred to as the Subsampling Adaptive Projection-Test(SAPT).This innovative approach demonstrates substantial improvements in test power for both local and global alternatives,outperforming conventional uniform subsampling mechanisms.The authors rigorously establish the asymptotic properties of SAPT and delineate its maximum achievable power under asymptotic conditions.Comprehensive simulations and real-world dataset applications provide robust validation of the proposed theoretical propositions.展开更多
Brachinite is a group of primitive achondrites that enables investigating the evolution of asteroids not fully diff erentiated in the early stage of the solar system.Kumtag 061 is a new meteorite sample collected on O...Brachinite is a group of primitive achondrites that enables investigating the evolution of asteroids not fully diff erentiated in the early stage of the solar system.Kumtag 061 is a new meteorite sample collected on October 27,2019,in Kumtag Desert,Xinjiang Province,China.The oxygen isotope composition(δ^(18)O=5.086‰,δ^(17)O=2.396‰,Δ’^(17)O=-0.298‰)and petrologic and mineralogic analysis suggest Kumtag 061 is a heavy-impacted brachinite(S4-S5).The geochemical composition suggests Kumtag 061 represents a partial melting residue of the brachinite parent body.Based on the noble gas composition,the cosmic ray exposure age of Kumtag 061 is 60.9±9.0 Ma.Combined with the gas retention ages,they indicate a(series of)thermal events on the parent body of brachinites before Kumtag 061 was ejected into space.展开更多
In this paper,a precise and computationally efficient method for estimating multiparameter of permanent magnet synchronous motors(PMSMs)is proposed.This method can realize decoupling estimation with a small amount of ...In this paper,a precise and computationally efficient method for estimating multiparameter of permanent magnet synchronous motors(PMSMs)is proposed.This method can realize decoupling estimation with a small amount of data at a single speed,and considers the inductance correlation to improve the estimation accuracy.The saturation in the stator frame is first modeled,and then the related inductance model in the rotating frame is derived.The estimation model is established based on the related inductance model,which is modeled by polynomials of d-axis current(I_(d))for a given q-axis current(I_(q)).Then,the influence of permanent magnet(PM)flux linkage on inductance estimation can be eliminated by using the partial derivative of the correlated inductance model.The estimation model fully explores the inductance correlation and can realize the decoupling of PM flux linkage(λ_(0))and inductance,which greatly improves the inductance estimation accuracy,especially when Id is small.Moreover,this paper realizes the estimation of distortion voltage,PM flux linkage,and stator resistance based on the derived electrical model and mechanical model.Compared with the existing method,this method can use a small amount of data at a single speed to model voltage,which can effectively reduce the influence of measurement noise and improve the calculation efficiency.Experimental verification on a laboratory PMSM prototype shows that the method’s performance of the proposed method is better than existing methods under various working conditions.展开更多
Oral squamous cell carcinoma(OSCC)is a prevalent malignancy with high morbidity and mortality.Globally,about 400000 people are affected,often with a poor quality of life.Its high mortality is mainly due to its aggress...Oral squamous cell carcinoma(OSCC)is a prevalent malignancy with high morbidity and mortality.Globally,about 400000 people are affected,often with a poor quality of life.Its high mortality is mainly due to its aggressive growth and tendency to spread.Epithelial-mesenchymal transition(EMT)is a central regulatory hub driving tumor cell migration and invasion by enabling changes in cell characteristics.During EMT,epithelial cells gradually take on mesenchymal traits,gaining mobility and spreading mo re easily.Recent multi-omics studies show that many cancer cells exist in a hybrid or partial-EMT state,which lies between the full epithelial and mesenchymal forms.Cells in this state are especially invasive and metastatic,with high plasticity that promotes tumor progression.This review summarizes the role of partial-EMT in OSCC,with a focus on how it alters the tumor microenvironment(TME),promotes invasion and metastasis,and influences cancer stem cells(CSCs).We also highlight the link between partial-EMT and treatment resistance in OSCC.Based on these insights,we discuss therapeutic strategies targeting partial-EMT to improve outcomes.Targeting partial-EMT may offer promising strategies to enhance treatment effectiveness and improve patient survival and quality of life.展开更多
Utility-scale PV plants increasingly operate under partial shading,soiling,temperature swings,and rapid irradiance ramps that depress yield and challenge stability on weak grids.This critical review addresses those co...Utility-scale PV plants increasingly operate under partial shading,soiling,temperature swings,and rapid irradiance ramps that depress yield and challenge stability on weak grids.This critical review addresses those conditions by(i)unifying a stressor-to-method taxonomy that links field stressors to global intelligent MPPT(metaheuristics and learning-based trackers)and to advanced inverter controls(adaptive/MPC and grid-forming),(ii)standardizing metrics and reporting aligned with IEC 61724-1 and IEEE 1547/1547.1 to enable fair,reproducible comparisons,and(iii)framing MPPT and grid support as a co-design problem with a DT→HIL→Field validation pathway and seedable scenarios.We identify persistent gaps—fragmented partial-shading benchmarks,limited low-SCR testing,and scarce field-grade validation—and compile a quantitative synthesis:global soiling typically reduces annual production by≈3%–5%,and hybrid/learning MPPT frequently report≈99%tracking efficiency under PSC in simulation/HIL studies.To demonstrate practical relevance,we validate the framework on a seeded scenario library:DRL trackers achieve medianηMPPT≈0.996 with t95≈0.19 s and Hybrid trackers≈0.992/0.26 s,outperforming Metaheuristics(≈0.984/0.42 s);at SCR=2.5,grid-forming control raises VRI from~0.78(tuned GFL)to~0.95 while keeping THD within 2.5%–3.2%,with all stacks meeting IEEE-1547.1 Category-II ride-through.The resulting taxonomy,standards-aligned reporting,and open seeds provide a replicable basis for comparable,grid-relevant benchmarking and clear guidance for real-world design and operations.展开更多
Although various Climate-Smart Agricultural(CSA) practices are promoted to safeguard agricultural production and food security in the Global South,their adoption remains limited.This study conducted a cross-sectional ...Although various Climate-Smart Agricultural(CSA) practices are promoted to safeguard agricultural production and food security in the Global South,their adoption remains limited.This study conducted a cross-sectional survey using a semi-structured questionnaire between March and April in 2023,with a sample of 231 smallholder farmers covering 5 villages(Purbo Karpara,Rampasa,Monohor Pur,Boro Isubpur,and Char Alapur) in Haor wetlands of Bangladesh.Then,this study examined smallholder farmers' adoption intention of floating farming practice in Haor wetlands of Bangladesh based on an extended Theory of Planned Behaviour(TPB) model.The result demonstrated moderate predictive power of the proposed model,where farmers' attitude,subjective norm,knowledge of floating farming practice,perceived behavioural control,and institutional accessibility jointly explained 11.50% of the total variance in adoption intention,with subjective norm and perceived behavioural control showing significant impact on smallholder farmers' adoption intention.However,key barriers reported by smallholder farmers included unavailability of resources,limited access to modern farming practices,input and credit unavailability,insufficient access to training,and limited access to market system.These findings indicated that improving smallholder farmers' access to extension services and credit facilities,raising awareness,providing training,and guaranteeing access to accurate and timely climate information and early warning systems could significantly improve their adaptive capacity.This study contributes to socio-psychological understanding of smallholder farmers' pro-environmental behaviour and emphasises the need for context-specific interventions to support sustainable livelihoods and resilient agri-food systems in climate-vulnerable regions.展开更多
The wireless cloud robotic system(WCRS),which fully integrates sensing,communication,computing,and control capabilities as an intelligent agent,is a promising way to achieve intelligent manufacturing due to easy deplo...The wireless cloud robotic system(WCRS),which fully integrates sensing,communication,computing,and control capabilities as an intelligent agent,is a promising way to achieve intelligent manufacturing due to easy deployment and flexible expansion.However,the high-precision control of WCRS requires deterministic wireless communication,which is always challenging in the complex and dynamic radio space.This paper employs the reconfigurable intelligent surface(RIS)to establish a novel RIS-assisted WCRS architecture,where the radio channel is controlled to achieve ultra-reliable,low-delay,and low-jitter communication for high-precision closed-loop motion control.However,control and communication are strongly coupled and should be co-optimized.Fully considering the constraints of control input threshold,control delay deadline,beam phase,antenna power,and information distortion,we establish a stability maximization problem to jointly optimize control input compensation,RIS phase shift,and beamforming.Herein,a new jitter-oriented system stability objective with respect to control error and communication jitter is defined and the closed-form expression of control delay deadline is derived based on the Jensen Inequality and Lyapunov-Krasovskii functional.Due to the time-varying and partial observability of the channel and robot states,we model the problem as a partially observable Markov decision process(POMDP).To solve this complex problem,we propose a multi-agent transfer reinforcement learning algorithm named LSTM-PPO-MATRL,where the LSTM-enhanced proximal policy optimization(PPO)is designed to approximate an optimal solution and the option-guided policy transfer learning is proposed to facilitate the learning process.By centralized training and decentralized execution,LSTM-PPO-MATRL is validated by extensive experiments on MuJoCo tasks for both low-mobility and high-mobility robotic control scenarios.The results demonstrate that LSTM-PPO-MATRL not only realizes high learning efficiency,but also supports low-delay,low-jitter communication for low error control,where 71.9%control accuracy improvement and 68.7%delay jitter reduction are achieved compared to the PPO-MADRL baseline.展开更多
针对三维激光标靶球定位模型中的系数矩阵存在随机元素和非随机元素以及考虑到观测向量与系数矩阵存在相关的情况,引入基于Partial EIV模型的相关观测加权总体最小二乘(Weighted Total Least Squares,WTLS)方法进行求解。模拟实验结果表...针对三维激光标靶球定位模型中的系数矩阵存在随机元素和非随机元素以及考虑到观测向量与系数矩阵存在相关的情况,引入基于Partial EIV模型的相关观测加权总体最小二乘(Weighted Total Least Squares,WTLS)方法进行求解。模拟实验结果表明,在顾及观测向量与系数矩阵存在相关性时,基于Partial EIV模型的相关观测加权总体最小二乘方法解算的参数结果更加接近真值,且精度更高。进一步将该方法应用于实际案例数据中,结果表明,在实际计算时有必要考虑到观测向量与系数矩阵之间的相关性,以提高参数解算精度。本文可补充和完善三维激光扫描标靶球定位技术方法。展开更多
By introducing noncanonical vortex pairs to partially coherent beams, spatial correlation singularity (SCS) and orbital angular momenta (OAM) of the resulting beams are studied using the Fraunhofer diffraction integra...By introducing noncanonical vortex pairs to partially coherent beams, spatial correlation singularity (SCS) and orbital angular momenta (OAM) of the resulting beams are studied using the Fraunhofer diffraction integral. The effect of noncanonical strength, off-axis distance and vortex sign on spatial correlation singularities in far field is stressed. Furthermore, far-field OAM spectra and densities are also investigated, and the OAM detection and crosstalk probabilities are discussed. The results show that the number of dislocations of SCS always equals the sum of absolute values of topological charges for canonical or noncanonical vortex pairs. Although the sum of the product of each OAM mode and its power weight equals the algebraic sum of topological charges for canonical vortex pairs, the relationship no longer holds in the noncanonical case except for opposite-charge vortex pairs. The changes of off-axis distance, noncanonical strength or coherence length can lead to a more dominant power in adjacent mode than that in center detection mode, which also indicates that crosstalk probabilities of adjacent modes exceed the center detection probability. This work may provide potential applications in OAM-based optical communication, imaging, sensing and computing.展开更多
The removal of nitrogen via the ANAMMOX process is a promising green wastewater treatment technology,with numerous benefits.The incessant studies on the ANAMMOX process over the years due to its long start-up and high...The removal of nitrogen via the ANAMMOX process is a promising green wastewater treatment technology,with numerous benefits.The incessant studies on the ANAMMOX process over the years due to its long start-up and high operational cost has positively influenced its technological advancement,even though at a rather slow pace.At the moment,relatively newANAMMOX technologies are being developedwith the goal of treating lowcarbon wastewater at low temperatures,tackling nitrite and nitrate accumulation and methane utilization from digestates while also recovering resources(phosphorus)in a sustainable manner.This review compares and contrasts the handful of ANAMMOX-based processes developed thus far with plausible solutions for addressing their respective bottlenecks hindering full-scale implementation.Ultimately,future prospects for advancing understanding of mechanisms and engineering application of ANAMMOX process are posited.As a whole,technological advances in process design and patents have greatly contributed to better understanding of the ANAMMOX process,which has greatly aided in the optimization and industrialization of the ANAMMOX process.This review is intended to provide researchers with an overview of the present state of research and technological development of the ANAMMOX process,thus serving as a guide for realizing energy autarkic future practical applications.展开更多
Pulpotomy,which belongs to vital pulp therapy,has become a strategy for managing pulpitis in recent decades.This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing l...Pulpotomy,which belongs to vital pulp therapy,has become a strategy for managing pulpitis in recent decades.This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes.Pulpotomy is categorized into partial pulpotomy(PP),the removal of a partial segment of the coronal pulp tissue,and full pulpotomy(FP),the removal of whole coronal pulp,which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth.Procedural decisions for the amount of pulp tissue removal or retention depend on the diagnostic of pulp vitality,the overall treatment plan,the patient’s general health status,and pulp inflammation reassessment during operation.This statement represents the consensus of an expert committee convened by the Society of Cariology and Endodontics,Chinese Stomatological Association.It addresses the current evidence to support the application of pulpotomy as a potential alternative to root canal treatment(RCT)on mature permanent teeth with pulpitis from a biological basis,the development of capping biomaterial,and the diagnostic considerations to evidence-based medicine.This expert statement intends to provide a clinical protocol of pulpotomy,which facilitates practitioners in choosing the optimal procedure and increasing their confidence in this rapidly evolving field.展开更多
To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.Howeve...To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.However,most of the studies had focused only on colored plastic fragments,ignoring colorless plastic fragments and the effects of different environmental media(backgrounds),thus underestimating their abundance.To address this issue,the present study used near-infrared spectroscopy to compare the identification of colored and colorless plastic fragments based on partial least squares-discriminant analysis(PLS-DA),extreme gradient boost,support vector machine and random forest classifier.The effects of polymer color,type,thickness,and background on the plastic fragments classification were evaluated.PLS-DA presented the best and most stable outcome,with higher robustness and lower misclassification rate.All models frequently misinterpreted colorless plastic fragments and its background when the fragment thickness was less than 0.1mm.A two-stage modeling method,which first distinguishes the plastic types and then identifies colorless plastic fragments that had been misclassified as background,was proposed.The method presented an accuracy higher than 99%in different backgrounds.In summary,this study developed a novel method for rapid and synchronous identification of colored and colorless plastic fragments under complex environmental backgrounds.展开更多
Liver regeneration(LR)following partial hepatectomy(PH)is a unique and complex physiological response that restores hepatic mass and function through tightly orchestrated cellular and molecular events.Traditionally vi...Liver regeneration(LR)following partial hepatectomy(PH)is a unique and complex physiological response that restores hepatic mass and function through tightly orchestrated cellular and molecular events.Traditionally viewed as a proliferation-driven process,LR is now understood to involve both hepatocyte hyperplasia and hypertrophy,triggered primarily by hemodynamic alterations such as increased portal pressure and shear stress.These promote LR through endothelial–hepatocyte communication via activation of Piezo1-a mechanosensitive ion channel highly expressed in vascular endothelial cells.This channel is considered one of the potential upstream activators of molecular cascades including the interleukin(IL)-6/signal transducer and activator of transcription 3,tumour necrosis factor-alpha/nuclear factor-kappa B,Wnt/β-catenin,Hippo/YAP,transforming growth factor-beta,and Notch pathways,which contribute variably to the proliferation,differentiation,or suppression of hepatic cells.Novel insights into the IL-22 and IL-33 signaling axes,bile acid and glutamine metabolism,and the role of intestinal microbiota are also presented as promising emerging targets.This review synthesizes current insights into the interplay between mechanical cues,key signaling pathways,and metabolic reprogramming that govern early regenerative responses.We explore the mechanisms dictating the balance between hyperplasia and hypertrophy,noting that hypertrophy predominates after minor resections,while proliferation is dominant in larger resections.Polyploidization emerges as a significant adaptive mechanism,contributing to hepatocyte survival and tissue remodeling.The importance of ductular reactions,microvascular adjustments,and extracellular matrix dynamics in lobular architecture remodeling is also highlighted.The study explores the occurrence of ductular reactions in both minor and major resections,particularly within the granulation tissue near dissection areas.The paper also examines structural remodeling in regenerated liver tissue,demonstrating ongoing transformations in hepatocyte morphology and sinusoidal architecture even months after PH,and emphasizing that the termination of liver mass regrowth does not equate to the cessation of LR.展开更多
文摘Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for longitudinal hypertrophy.Methods:We included studies that satisfied the following criteria:(1)be a resistance training intervention with a comparison of LML vs SML-RT;(2)assess both fascicle length(FL)and muscle size pre-and post-intervention;(3)involve healthy adults aged≥18 years;(4)be published in an English-language journal,and;(5)have a minimum training intervention duration of 4 weeks.Three databases were searched in February 2024(Google Scholar,PubMed/Medline,Scopus)for relevant articles,alongside'forward'and'backward'citation searching of articles included and additions via authors'personal knowledge.The results of studies were described narratively,compared,and contrasted.Eight studies met the inclusion criteria,totaling a sample size of 120.Results:Our results suggest that both muscle size and fascicle length increases may be greater following LML-RT versus SML-RT,suggesting LML-RT may lead to greater longitudinal hypertrophy than SML-RT.Notably,evidence is largely mixed;no studies to date have attempted to estimate serial sarcomere number changes from LML versus SML-RT,and all but one study used linear extrapolation methods to estimate FL,which has questionable validity.Therefore,the structural adaptations underlying hypertrophy from LML-RT remain undetermined.Conclusion:In conclusion,results suggest that LML-RT may be superior to SML-RT for inducing muscle hypertrophy and,more specifically,longitudinal growth,though evidence is mixed.
基金funded by the Deanship of Scientific Research and Libraries,Princess Nourah bint Abdulrahman University,through the Program of Research Project Funding After Publication,grant No.(RPFAP-82-1445)。
文摘This research proposes an improved Puma optimization algorithm(IPuma)as a novel dynamic recon-figuration tool for a photovoltaic(PV)array linked in total-cross-tied(TCT).The proposed algorithm utilizes the Newton-Raphson search rule(NRSR)to boost the exploration process,especially in search spaces with more local regions,and boost the exploitation with adaptive parameters alternating with random parameters in the original Puma.The effectiveness of the introduced IPuma is confirmed through comprehensive evaluations on the CEC’20 benchmark problems.It shows superior performance compared to both established and modern metaheuristic algorithms in terms of effectively navigating the search space and achieving convergence towards near-optimal regions.The findings indicated that the IPuma algorithm demonstrates considerable statistical promise and surpasses the performance of competing algorithms.In addition,the proposed IPuma is utilized to reconfigure a 9×9 PV array that operates under different shade patterns,such as lower triangular(LT),long wide(LW),and short wide(SW).In addition to other programmed approaches,such as the Whale optimization algorithm(WOA),grey wolf optimizer(GWO),Harris Hawks optimization(HHO),particle swarm optimization(PSO),gravitational search algorithm(GSA),biogeography-based optimization(BBO),sine cosine algorithm(SCA),equilibrium optimizer(EO),and original Puma,the indicated method is contrasted to the traditional configurations of TCT and Sudoku.In addition,the metrics of mismatch power loss,maximum efficiency improvement,efficiency improvement ratio,and peak-to-mean ratio are calculated to assess the effectiveness of the indicated approach.The proposed IPuma improved the generated power by 36.72%,28.03%,and 40.97%for SW,LW,and LT,respectively,outperforming the TCT configuration.In addition,it achieved the best maximum efficiency improvement among the algorithms considered,with 26.86%,21.89%,and 29.07%for the examined patterns.The results highlight the superiority and competence of the proposed approach in both convergence rates and stability,as well as applicability to dynamically reconfigure the PV system and enhance its harvested energy.
基金supported by the National Natural Science Foundation of China(No.U1966209)the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(NCEPU,LAPS22001).
文摘The partial discharge occurring in the weak part of the insulation of a converter transformer results in the formation of a large number of bubbles in the insulating oil.The migration,deformation,and other dynamic behaviors of bubbles in the region of a strong electric field can cause them to easily accumulate into“small bridges”of impurities that can lead to breakdown of the oil gap.The authors of this study experimentally investigate and discuss the mechanisms of migration and deformation of bubbles in oil during partial discharge under composite AC/DC voltage to clarify their dynamic behaviors.The influence of the initial position of the bubbles on their trajectory of migration and velocity as well as the morphological changes occurring in them are analyzed using numerical simulations.The results show that the bubbles move away from the strong electric field due to the action of the dielectrophoretic force.The interface of the bubbles is longitudinally stretched under the action of the electrostrictive force and the vertical component of the drag force and gradually recovers to assume a spherical shape under the influence of surface tension and the horizontal component of the drag force.
基金funded by the U.S.Department of Education under Grant Number ED#P116S210005the National Science Foundation under Grant Numbers 2226936 and 2420405.
文摘Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunities and challenges.As RL continues to demonstrate remarkable success in model-free and partially observable environments,its real-world deployment increasingly requires effective collaboration with human operators and stakeholders.This article systematically examines HAII techniques in RL through both theoretical analysis and practical case studies.We establish a conceptual framework built upon three fundamental pillars of effective human-AI collaboration:computational trust modeling,system usability,and decision understandability.Our comprehensive review organizes HAII methods into five key categories:(1)learning from human feedback,including various shaping approaches;(2)learning from human demonstration through inverse RL and imitation learning;(3)shared autonomy architectures for dynamic control allocation;(4)human-in-the-loop querying strategies for active learning;and(5)explainable RL techniques for interpretable policy generation.Recent state-of-the-art works are critically reviewed,with particular emphasis on advances incorporating large language models in human-AI interaction research.To illustrate some concepts,we present three detailed case studies:an empirical trust model for farmers adopting AI-driven agricultural management systems,the implementation of ethical constraints in roboticmotion planning through human-guided RL,and an experimental investigation of human trust dynamics using a multi-armed bandit paradigm.These applications demonstrate how HAII principles can enhance RL systems’practical utility while bridging the gap between theoretical RL and real-world human-centered applications,ultimately contributing to more deployable and socially beneficial intelligent systems.
基金funded by the National Natural Science Foundation of China under Grant No.62371187the Open Program of Hunan Intelligent Rehabilitation Robot and Auxiliary Equipment Engineering Technology Research Center under Grant No.2024JS101.
文摘The ubiquity of mobile devices has driven advancements in mobile object detection.However,challenges in multi-scale object detection in open,complex environments persist due to limited computational resources.Traditional approaches like network compression,quantization,and lightweight design often sacrifice accuracy or feature representation robustness.This article introduces the Fast Multi-scale Channel Shuffling Network(FMCSNet),a novel lightweight detection model optimized for mobile devices.FMCSNet integrates a fully convolutional Multilayer Perceptron(MLP)module,offering global perception without significantly increasing parameters,effectively bridging the gap between CNNs and Vision Transformers.FMCSNet achieves a delicate balance between computation and accuracy mainly by two key modules:the ShiftMLP module,including a shift operation and an MLP module,and a Partial group Convolutional(PGConv)module,reducing computation while enhancing information exchange between channels.With a computational complexity of 1.4G FLOPs and 1.3M parameters,FMCSNet outperforms CNN-based and DWConv-based ShuffleNetv2 by 1%and 4.5%mAP on the Pascal VOC 2007 dataset,respectively.Additionally,FMCSNet achieves a mAP of 30.0(0.5:0.95 IoU threshold)with only 2.5G FLOPs and 2.0M parameters.It achieves 32 FPS on low-performance i5-series CPUs,meeting real-time detection requirements.The versatility of the PGConv module’s adaptability across scenarios further highlights FMCSNet as a promising solution for real-time mobile object detection.
基金supported by the National Nature Science Foundation of China under Grant No.11902332。
文摘The augmented evolution equation is established under the framework of the Variation Evolving Method(VEM)that seeks optimal solutions by solving the transformed Initial-Value Problems(IVPs).To improve the numerical performance,its compact form is developed herein.Through replacing the states and costates variation evolution with that of the controls,the dimension-reduced Evolution Partial Differential Equation(EPDE)only solves the control variables along the variation time to get the optimal solution,and the initial conditions for the definite solution may be arbitrary.With this equation,the scale of the resulting IVPs,obtained via the semi-discrete method,is significantly reduced and they may be solved with common Ordinary Differential Equation(ODE)integration methods conveniently.Meanwhile,the state and the costate dynamics share consistent stability in the numerical computation and this avoids the intrinsic numerical difficulty as in the indirect methods.Numerical examples are solved and it is shown that the compact form evolution equation outperforms the primary form in the precision,and the efficiency may be higher for the dense discretization.Actually,it is uncovered that the compact form of the augmented evolution equation is a continuous realization of the Newton type iteration mechanism.
基金supported in part by the National Natural Science Foundation of China(62573387)the Natural Science Foundation of Zhejiang province,China(LY24F030004)the Fundamental Research Funds of Zhejiang Sci-Tech University(25222139-Y).
文摘Partial least squares (PLS) model maximizes the covariance between process variables and quality variables,making it widely used in quality-related fault detection.However,traditional PLS methods focus primarily on linear processes,leading to poor performance in dynamic nonlinear processes.In this paper,a novel quality-related fault detection method,named DiCAE-PLS,is developed by combining dynamic-inner convolutional autoencoder with PLS.In the proposed DiCAE-PLS method,latent features are first extracted through dynamic-inner convolutional autoencoder (DiCAE) to capture process dynamics and nonlinearity from process variables.Then,a PLS model is established to build the relationship between the extracted latent features and the final product quality.To detect quality-related faults,Hotelling's T^(2) statistic is employed.The developed quality-related fault detection is applied to the widely used industrial benchmark of the Tennessee.
基金supported by the National Social Science Foundation of China under Grant No.21 BT1048the National Scientific Foundation of China under Grant Nos.12371276 and 12131006。
文摘Model checking is crucial in statistical analyses and has garnered significant attention in the academic literature.However,certain challenges persist in scenarios that involve large-scale datasets and limited resource allocations.This research introduces a novel subsampling methodology for testing regression models with continuous and categorical predictors,referred to as the Subsampling Adaptive Projection-Test(SAPT).This innovative approach demonstrates substantial improvements in test power for both local and global alternatives,outperforming conventional uniform subsampling mechanisms.The authors rigorously establish the asymptotic properties of SAPT and delineate its maximum achievable power under asymptotic conditions.Comprehensive simulations and real-world dataset applications provide robust validation of the proposed theoretical propositions.
基金supported by the Project of Highlevel Innovative Talents of Guizhou Province(GCC[2022]017-1)the National Natural Science Foundation of China(grant no.42173046)。
文摘Brachinite is a group of primitive achondrites that enables investigating the evolution of asteroids not fully diff erentiated in the early stage of the solar system.Kumtag 061 is a new meteorite sample collected on October 27,2019,in Kumtag Desert,Xinjiang Province,China.The oxygen isotope composition(δ^(18)O=5.086‰,δ^(17)O=2.396‰,Δ’^(17)O=-0.298‰)and petrologic and mineralogic analysis suggest Kumtag 061 is a heavy-impacted brachinite(S4-S5).The geochemical composition suggests Kumtag 061 represents a partial melting residue of the brachinite parent body.Based on the noble gas composition,the cosmic ray exposure age of Kumtag 061 is 60.9±9.0 Ma.Combined with the gas retention ages,they indicate a(series of)thermal events on the parent body of brachinites before Kumtag 061 was ejected into space.
基金sponsored by Ministry of Natural Resources in Guangdong Province(No.GDNRC[2024]52)。
文摘In this paper,a precise and computationally efficient method for estimating multiparameter of permanent magnet synchronous motors(PMSMs)is proposed.This method can realize decoupling estimation with a small amount of data at a single speed,and considers the inductance correlation to improve the estimation accuracy.The saturation in the stator frame is first modeled,and then the related inductance model in the rotating frame is derived.The estimation model is established based on the related inductance model,which is modeled by polynomials of d-axis current(I_(d))for a given q-axis current(I_(q)).Then,the influence of permanent magnet(PM)flux linkage on inductance estimation can be eliminated by using the partial derivative of the correlated inductance model.The estimation model fully explores the inductance correlation and can realize the decoupling of PM flux linkage(λ_(0))and inductance,which greatly improves the inductance estimation accuracy,especially when Id is small.Moreover,this paper realizes the estimation of distortion voltage,PM flux linkage,and stator resistance based on the derived electrical model and mechanical model.Compared with the existing method,this method can use a small amount of data at a single speed to model voltage,which can effectively reduce the influence of measurement noise and improve the calculation efficiency.Experimental verification on a laboratory PMSM prototype shows that the method’s performance of the proposed method is better than existing methods under various working conditions.
基金funded by JSPS KAKENHI to Y.K.(22K19629,22H03288,and 21KK0162)JSPS Program for Forming Japan's Peak Research Universities:J-PEAKS(JPJS00420240022)to Y.K.JST SPRING,Grant Number JPMJSP2113 to C.W.and C.S.
文摘Oral squamous cell carcinoma(OSCC)is a prevalent malignancy with high morbidity and mortality.Globally,about 400000 people are affected,often with a poor quality of life.Its high mortality is mainly due to its aggressive growth and tendency to spread.Epithelial-mesenchymal transition(EMT)is a central regulatory hub driving tumor cell migration and invasion by enabling changes in cell characteristics.During EMT,epithelial cells gradually take on mesenchymal traits,gaining mobility and spreading mo re easily.Recent multi-omics studies show that many cancer cells exist in a hybrid or partial-EMT state,which lies between the full epithelial and mesenchymal forms.Cells in this state are especially invasive and metastatic,with high plasticity that promotes tumor progression.This review summarizes the role of partial-EMT in OSCC,with a focus on how it alters the tumor microenvironment(TME),promotes invasion and metastasis,and influences cancer stem cells(CSCs).We also highlight the link between partial-EMT and treatment resistance in OSCC.Based on these insights,we discuss therapeutic strategies targeting partial-EMT to improve outcomes.Targeting partial-EMT may offer promising strategies to enhance treatment effectiveness and improve patient survival and quality of life.
文摘Utility-scale PV plants increasingly operate under partial shading,soiling,temperature swings,and rapid irradiance ramps that depress yield and challenge stability on weak grids.This critical review addresses those conditions by(i)unifying a stressor-to-method taxonomy that links field stressors to global intelligent MPPT(metaheuristics and learning-based trackers)and to advanced inverter controls(adaptive/MPC and grid-forming),(ii)standardizing metrics and reporting aligned with IEC 61724-1 and IEEE 1547/1547.1 to enable fair,reproducible comparisons,and(iii)framing MPPT and grid support as a co-design problem with a DT→HIL→Field validation pathway and seedable scenarios.We identify persistent gaps—fragmented partial-shading benchmarks,limited low-SCR testing,and scarce field-grade validation—and compile a quantitative synthesis:global soiling typically reduces annual production by≈3%–5%,and hybrid/learning MPPT frequently report≈99%tracking efficiency under PSC in simulation/HIL studies.To demonstrate practical relevance,we validate the framework on a seeded scenario library:DRL trackers achieve medianηMPPT≈0.996 with t95≈0.19 s and Hybrid trackers≈0.992/0.26 s,outperforming Metaheuristics(≈0.984/0.42 s);at SCR=2.5,grid-forming control raises VRI from~0.78(tuned GFL)to~0.95 while keeping THD within 2.5%–3.2%,with all stacks meeting IEEE-1547.1 Category-II ride-through.The resulting taxonomy,standards-aligned reporting,and open seeds provide a replicable basis for comparable,grid-relevant benchmarking and clear guidance for real-world design and operations.
基金Ghent University,Belgium,for providing the research support for this study。
文摘Although various Climate-Smart Agricultural(CSA) practices are promoted to safeguard agricultural production and food security in the Global South,their adoption remains limited.This study conducted a cross-sectional survey using a semi-structured questionnaire between March and April in 2023,with a sample of 231 smallholder farmers covering 5 villages(Purbo Karpara,Rampasa,Monohor Pur,Boro Isubpur,and Char Alapur) in Haor wetlands of Bangladesh.Then,this study examined smallholder farmers' adoption intention of floating farming practice in Haor wetlands of Bangladesh based on an extended Theory of Planned Behaviour(TPB) model.The result demonstrated moderate predictive power of the proposed model,where farmers' attitude,subjective norm,knowledge of floating farming practice,perceived behavioural control,and institutional accessibility jointly explained 11.50% of the total variance in adoption intention,with subjective norm and perceived behavioural control showing significant impact on smallholder farmers' adoption intention.However,key barriers reported by smallholder farmers included unavailability of resources,limited access to modern farming practices,input and credit unavailability,insufficient access to training,and limited access to market system.These findings indicated that improving smallholder farmers' access to extension services and credit facilities,raising awareness,providing training,and guaranteeing access to accurate and timely climate information and early warning systems could significantly improve their adaptive capacity.This study contributes to socio-psychological understanding of smallholder farmers' pro-environmental behaviour and emphasises the need for context-specific interventions to support sustainable livelihoods and resilient agri-food systems in climate-vulnerable regions.
基金supported in part by the National Natural Science Foundation of China(62522320,92267108,62173322)Liaoning Revitalization Talents Program(XLYC2403062)the Science and Technology Program of Liaoning Province(2023JH3/10200004,2022JH25/10100005)。
文摘The wireless cloud robotic system(WCRS),which fully integrates sensing,communication,computing,and control capabilities as an intelligent agent,is a promising way to achieve intelligent manufacturing due to easy deployment and flexible expansion.However,the high-precision control of WCRS requires deterministic wireless communication,which is always challenging in the complex and dynamic radio space.This paper employs the reconfigurable intelligent surface(RIS)to establish a novel RIS-assisted WCRS architecture,where the radio channel is controlled to achieve ultra-reliable,low-delay,and low-jitter communication for high-precision closed-loop motion control.However,control and communication are strongly coupled and should be co-optimized.Fully considering the constraints of control input threshold,control delay deadline,beam phase,antenna power,and information distortion,we establish a stability maximization problem to jointly optimize control input compensation,RIS phase shift,and beamforming.Herein,a new jitter-oriented system stability objective with respect to control error and communication jitter is defined and the closed-form expression of control delay deadline is derived based on the Jensen Inequality and Lyapunov-Krasovskii functional.Due to the time-varying and partial observability of the channel and robot states,we model the problem as a partially observable Markov decision process(POMDP).To solve this complex problem,we propose a multi-agent transfer reinforcement learning algorithm named LSTM-PPO-MATRL,where the LSTM-enhanced proximal policy optimization(PPO)is designed to approximate an optimal solution and the option-guided policy transfer learning is proposed to facilitate the learning process.By centralized training and decentralized execution,LSTM-PPO-MATRL is validated by extensive experiments on MuJoCo tasks for both low-mobility and high-mobility robotic control scenarios.The results demonstrate that LSTM-PPO-MATRL not only realizes high learning efficiency,but also supports low-delay,low-jitter communication for low error control,where 71.9%control accuracy improvement and 68.7%delay jitter reduction are achieved compared to the PPO-MADRL baseline.
文摘针对三维激光标靶球定位模型中的系数矩阵存在随机元素和非随机元素以及考虑到观测向量与系数矩阵存在相关的情况,引入基于Partial EIV模型的相关观测加权总体最小二乘(Weighted Total Least Squares,WTLS)方法进行求解。模拟实验结果表明,在顾及观测向量与系数矩阵存在相关性时,基于Partial EIV模型的相关观测加权总体最小二乘方法解算的参数结果更加接近真值,且精度更高。进一步将该方法应用于实际案例数据中,结果表明,在实际计算时有必要考虑到观测向量与系数矩阵之间的相关性,以提高参数解算精度。本文可补充和完善三维激光扫描标靶球定位技术方法。
文摘By introducing noncanonical vortex pairs to partially coherent beams, spatial correlation singularity (SCS) and orbital angular momenta (OAM) of the resulting beams are studied using the Fraunhofer diffraction integral. The effect of noncanonical strength, off-axis distance and vortex sign on spatial correlation singularities in far field is stressed. Furthermore, far-field OAM spectra and densities are also investigated, and the OAM detection and crosstalk probabilities are discussed. The results show that the number of dislocations of SCS always equals the sum of absolute values of topological charges for canonical or noncanonical vortex pairs. Although the sum of the product of each OAM mode and its power weight equals the algebraic sum of topological charges for canonical vortex pairs, the relationship no longer holds in the noncanonical case except for opposite-charge vortex pairs. The changes of off-axis distance, noncanonical strength or coherence length can lead to a more dominant power in adjacent mode than that in center detection mode, which also indicates that crosstalk probabilities of adjacent modes exceed the center detection probability. This work may provide potential applications in OAM-based optical communication, imaging, sensing and computing.
基金supported by the National Natural Science Foundation of China (No.51508366)the Natural Science Foundation of Jiangsu Province (No.BK20201450)the Jiangsu Qinglan Project,Kunshan Science and Technology Planning Project (No.KSF202108).
文摘The removal of nitrogen via the ANAMMOX process is a promising green wastewater treatment technology,with numerous benefits.The incessant studies on the ANAMMOX process over the years due to its long start-up and high operational cost has positively influenced its technological advancement,even though at a rather slow pace.At the moment,relatively newANAMMOX technologies are being developedwith the goal of treating lowcarbon wastewater at low temperatures,tackling nitrite and nitrate accumulation and methane utilization from digestates while also recovering resources(phosphorus)in a sustainable manner.This review compares and contrasts the handful of ANAMMOX-based processes developed thus far with plausible solutions for addressing their respective bottlenecks hindering full-scale implementation.Ultimately,future prospects for advancing understanding of mechanisms and engineering application of ANAMMOX process are posited.As a whole,technological advances in process design and patents have greatly contributed to better understanding of the ANAMMOX process,which has greatly aided in the optimization and industrialization of the ANAMMOX process.This review is intended to provide researchers with an overview of the present state of research and technological development of the ANAMMOX process,thus serving as a guide for realizing energy autarkic future practical applications.
基金supported by the National Natural Science Foundation of China(82170941 and 82370948 to Lu Zhang,82071110 and 82230029 to Zhi Chen)the National Key R&D Program of China(2018YFC1105100)。
文摘Pulpotomy,which belongs to vital pulp therapy,has become a strategy for managing pulpitis in recent decades.This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes.Pulpotomy is categorized into partial pulpotomy(PP),the removal of a partial segment of the coronal pulp tissue,and full pulpotomy(FP),the removal of whole coronal pulp,which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth.Procedural decisions for the amount of pulp tissue removal or retention depend on the diagnostic of pulp vitality,the overall treatment plan,the patient’s general health status,and pulp inflammation reassessment during operation.This statement represents the consensus of an expert committee convened by the Society of Cariology and Endodontics,Chinese Stomatological Association.It addresses the current evidence to support the application of pulpotomy as a potential alternative to root canal treatment(RCT)on mature permanent teeth with pulpitis from a biological basis,the development of capping biomaterial,and the diagnostic considerations to evidence-based medicine.This expert statement intends to provide a clinical protocol of pulpotomy,which facilitates practitioners in choosing the optimal procedure and increasing their confidence in this rapidly evolving field.
基金supported by the National Natural Science Foundation of China(No.22276139)the Shanghai’s Municipal State-owned Assets Supervision and Administration Commission(No.2022028).
文摘To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.However,most of the studies had focused only on colored plastic fragments,ignoring colorless plastic fragments and the effects of different environmental media(backgrounds),thus underestimating their abundance.To address this issue,the present study used near-infrared spectroscopy to compare the identification of colored and colorless plastic fragments based on partial least squares-discriminant analysis(PLS-DA),extreme gradient boost,support vector machine and random forest classifier.The effects of polymer color,type,thickness,and background on the plastic fragments classification were evaluated.PLS-DA presented the best and most stable outcome,with higher robustness and lower misclassification rate.All models frequently misinterpreted colorless plastic fragments and its background when the fragment thickness was less than 0.1mm.A two-stage modeling method,which first distinguishes the plastic types and then identifies colorless plastic fragments that had been misclassified as background,was proposed.The method presented an accuracy higher than 99%in different backgrounds.In summary,this study developed a novel method for rapid and synchronous identification of colored and colorless plastic fragments under complex environmental backgrounds.
文摘Liver regeneration(LR)following partial hepatectomy(PH)is a unique and complex physiological response that restores hepatic mass and function through tightly orchestrated cellular and molecular events.Traditionally viewed as a proliferation-driven process,LR is now understood to involve both hepatocyte hyperplasia and hypertrophy,triggered primarily by hemodynamic alterations such as increased portal pressure and shear stress.These promote LR through endothelial–hepatocyte communication via activation of Piezo1-a mechanosensitive ion channel highly expressed in vascular endothelial cells.This channel is considered one of the potential upstream activators of molecular cascades including the interleukin(IL)-6/signal transducer and activator of transcription 3,tumour necrosis factor-alpha/nuclear factor-kappa B,Wnt/β-catenin,Hippo/YAP,transforming growth factor-beta,and Notch pathways,which contribute variably to the proliferation,differentiation,or suppression of hepatic cells.Novel insights into the IL-22 and IL-33 signaling axes,bile acid and glutamine metabolism,and the role of intestinal microbiota are also presented as promising emerging targets.This review synthesizes current insights into the interplay between mechanical cues,key signaling pathways,and metabolic reprogramming that govern early regenerative responses.We explore the mechanisms dictating the balance between hyperplasia and hypertrophy,noting that hypertrophy predominates after minor resections,while proliferation is dominant in larger resections.Polyploidization emerges as a significant adaptive mechanism,contributing to hepatocyte survival and tissue remodeling.The importance of ductular reactions,microvascular adjustments,and extracellular matrix dynamics in lobular architecture remodeling is also highlighted.The study explores the occurrence of ductular reactions in both minor and major resections,particularly within the granulation tissue near dissection areas.The paper also examines structural remodeling in regenerated liver tissue,demonstrating ongoing transformations in hepatocyte morphology and sinusoidal architecture even months after PH,and emphasizing that the termination of liver mass regrowth does not equate to the cessation of LR.
