The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cereb...The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cerebral organoids have emerged as valuable tools offering a more complex,versatile,and human-relevant system than traditional animal models,which are often unable to replicate the intricate architecture and functionality of the human brain.Since human cerebral organoids are a state-of-the-art model for the study of neurodevelopment and different pathologies affecting the brain,this field is currently under constant development,and work in this area is abundant.In this review,we give a complete overview of human cerebral organoids technology,starting from the different types of protocols that exist to generate different human cerebral organoids.We continue with the use of brain organoids for the study of brain pathologies,highlighting neurodevelopmental,psychiatric,neurodegenerative,brain tumor,and infectious diseases.Because of the potential value of human cerebral organoids,we describe their use in transplantation,drug screening,and toxicology assays.We also discuss the technologies available to study cell diversity and physiological characteristics of organoids.Finally,we summarize the limitations that currently exist in the field,such as the development of vasculature and microglia,and highlight some of the novel approaches being pursued through bioengineering.展开更多
Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury...Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury in humans are severely limited by the inaccessibility of living brain tissue,creating a need for in vitro model systems to study cellular mechanisms of degeneration and regeneration following injury.Here we describe methods to establish a 3D human brain tissue model,consisting of a silk-collagen composite scaffold seeded with human neurons,astrocytes,and microglia,to study neuro-regeneration after traumatic brain injury.Step-by-step fabrication,injury,and analytical assessments of the 3D“triculture”system are described.Using this tissue model system,we demonstrate that glial cells promote regeneration of neuronal networks within the injury site over several weeks post-injury.Further,we found that regenerating networks in the 3D triculture tissues did not secrete early markers of neurodegenerative disease,but displayed signs of excitatory/inhibitory imbalance,suggesting that pro-regenerative treatments for traumatic brain injury in the future may need to direct cell differentiation to promote proper function.The mechanical stability of this model system enables physiologically relevant impact injury and long-term culture capability,while its modular design enables modification of cell contents,extracellular matrix composition,and scaffold properties.This adaptability could allow the integration of patient-derived cells and genetic modifications to bridge research and clinical applications focused on personalized targeted therapies.This in vitro system provides a valuable platform for accelerating therapeutic advancements in traumatic brain injury and neurodegenerative disorders,ultimately improving patient outcomes.展开更多
Establishing a Regional Marine Innovation Ecosystem(RMIE)is crucial for advancing China’s maritime power strategy.Concurrently,developing a competitive RMIE serves as a strategic lever to enhance the global competiti...Establishing a Regional Marine Innovation Ecosystem(RMIE)is crucial for advancing China’s maritime power strategy.Concurrently,developing a competitive RMIE serves as a strategic lever to enhance the global competitiveness of China’s marine science sector.However,research on the competitiveness of RMIE is limited.To this end,this study constructs an evaluation index system based on ecological niche theory to assess the competitiveness of RMIE in China from 2008 to 2020.The findings indicate generally fluctuating upward trends in RMIE’s competitiveness,with Shandong,Jiangsu,and Guangdong showing relatively strong positions.Notably,there are significant intra-regional imbalances and inter-regional asynchrony in RMIE’s competitiveness across China’s three major marine economic circles.Recognizing that forecasting RMIE competitiveness can inform policy formulation,this paper proposes a systematic multivariate grey interval prediction model that incorporates spatial proximity effects.This model effectively captures the interval and uncertainty characteristics of RMIE’s competitiveness while considering spatial relationships among regions.Results from comparative analysis,robustness tests,and sensitivity analysis demonstrate its superior applicability and forecasting accuracy.Additionally,interval forecasts and scenario analyses suggest that RMIE competitiveness will maintain stable growth,although unbalanced and unsynchronized development is likely to persist.Overall,the approach developed for evaluating and forecasting RMIE competitiveness offers valuable insights for effective policy formulation.展开更多
Aerodynamic performances of axial compressors are significantly affected by variation of Reynolds number in aero-engines.In the design and analysis of compressors,previous correction methods for cascades and stages ha...Aerodynamic performances of axial compressors are significantly affected by variation of Reynolds number in aero-engines.In the design and analysis of compressors,previous correction methods for cascades and stages have difficulties in predicting comprehensively Reynolds number effects on airfoils,matching and characteristics curves.This study proposes Re-correction models for loss,deviation angle and endwall blockage based on classical theories and cascade tests,and loss and deviation models show good agreement in test data of NACA65 and C4 cascades.Throughflow method considering Reynolds number effects is developed by integrating the correction models into a verified Streamline Curvature(SLC)tool.A three-stage axial compressor is investigated through SLC and CFD methods from design Reynolds number(Red=2106)to low Re=4104,and the numerical methods are validated with test data of characteristic curves and spanwise distributions at Red.With Re reduction,SLC method with correction models well predicts variation in overall performances compared with CFD calculations and Wassell's model.Streamwise and spanwise matching such as total pressure and loss distributions in SLC predictions are basically consistent with those in CFD results at near-stall points under design and low Reynolds numbers.SLC and CFD methods share similar detections of stall risks in the third stage(Stg3),and their analyses of diffusion processes deviate to some extent due to different predictions in separated endwall flow.The correction models can be adopted to consider Reynolds number effects in through-flow design and analysis of axial compressors.展开更多
Dear Editor,This letter presents a model predictive control(MPC)scheme for human-robot interaction(HRI)in a multi-joint exoskeleton robot(ER)driven by series elastic actuator(SEA).The proposed scheme in robot-in-charg...Dear Editor,This letter presents a model predictive control(MPC)scheme for human-robot interaction(HRI)in a multi-joint exoskeleton robot(ER)driven by series elastic actuator(SEA).The proposed scheme in robot-in-charge(RIC)mode facilitates the ER driven by SEA to provide the required assistance and support for the subject.展开更多
To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests ...To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests were conducted,and a corresponding piecewise damage constitutive model(PDCM)was established.We found that both dry-wet cycling and precompression stress deteriorate the physical properties,alter the microscopic characteristics,and reduce the mechanical properties of the LHF.These degradations are particularly pronounced under the CEDWCPS,although the magnitude of these changes gradually diminishes with the progression of dry-wet cycling.Meanwhile,they also reduce the deformation degree,prolong the micropore compaction stage,shorten the unstable crack propagation stage,lower the frequency and intensity of AE events,decrease the high-amplitude and high-frequency AE signals,enlarge crack scales,and shorten the crack initiation time.Among the changes of these indicators,the dry-wet cycling plays a dominant role.The crack types of LHF under the CEDWCPS(LHFCEDWCPS)are predominantly tensile cracks,supplemented by shear cracks.The failure mode can be defined as tensileshear composite failure.Finally,the established PDCM effectively captures the nonlinear deformation of micropore and the linear deformation of the matrix in LHFCEDWCPS,with all corresponding R^(2) consistently exceeding 0.97.展开更多
Human herpesvirus,a specific group within the herpesvirus family,is responsible for a variety of human diseases.These viruses can infect humans and other vertebrates,primarily targeting the skin,mucous membranes,and n...Human herpesvirus,a specific group within the herpesvirus family,is responsible for a variety of human diseases.These viruses can infect humans and other vertebrates,primarily targeting the skin,mucous membranes,and neural tissues,thereby signifi-cantly impacting the health of both humans and animals.Animal models are crucial for studying virus pathogenesis,vaccine development,and drug testing.Despite several vaccine candidates being in preclinical and clinical stages,no vaccines are current available to prevent lifelong infections caused by these human herpesviruses,except for varicella-zoster virus(VZV)vaccine.However,the strict host tropism of herpes-viruses and other limitations mean that no single animal model can fully replicate all key features of human herpesvirus-associated diseases.This makes it challeng-ing to evaluate vaccines and antivirals against human herpesvirus comprehensively.Herein,we summarize the current animal models used to study the human herpesvi-ruses includingα-herpesviruses(herpes simplex virus type 1(HSV-1),HSV-2,VZV),β-herpesviruses(human cytomegalovirus(HCMV),γ-herpesviruses(Epstein-Barr virus(EBV))and Kaposi's sarcoma herpesvirus(KSHV)).By providing concise information and detailed analysis of the potential,limitations and applications of various models,such as non-human primates,mice,rabbits,guinea pigs,and tree shrews,this sum-mary aims to help researchers efficiently select the most appropriate animal model,offering practical guidance for studying human herpesvirus.展开更多
The rapid advancement of Artificial Intelligence(AI)and Large Language Models(LLMs)has led to their increasing integration into various domains,from text generation and translation to question-answering.However,a crit...The rapid advancement of Artificial Intelligence(AI)and Large Language Models(LLMs)has led to their increasing integration into various domains,from text generation and translation to question-answering.However,a critical question remains:do these sophisticated models,much like humans,exhibit susceptibility to cognitive biases?Understanding the presence and nature of such biases in AI is paramount for assessing their reliability,enhancing their performance,and predicting their societal impact.This research specifically investigates the susceptibility of Google’s Gemini 1.5 Pro and DeepSeek,two prominent LLMs,to framing effects and confirmation bias.The study meticulously designed a series of experimental trials,systematically manipulating information proportions and presentation orders to evaluate these biases.In the framing effect experiment,a genetic testing decision-making scenario was constructed.The proportion of positive and negative information(e.g.,20%,50%,or 80%positive)and their presentation order were varied.The models’inclination towards undergoing genetic testing was recorded.For the confirmation bias experiment,two reports-one positive and one negative-about“RoboTaxi”autonomous vehicles were provided.The proportion of erroneous information within these reports(10%,30%,and 50%)and their presentation order were systematically altered,and the models’support for each report was assessed.The findings demonstrate that both Gemini 1.5 Pro and DeepSeek are susceptible to framing effects.In the genetic testing scenario,their decision-making was primarily influenced by the proportion of positive and negative information presented.When the proportion of positive information was higher,both models showed a greater inclination to recommend or proceed with genetic testing.Conversely,a higher proportion of negative information led to greater caution or a tendency not to recommend the testing.Importantly,the order in which this information was presented did not significantly influence their decisions in the framing effect scenarios.Regarding confirmation bias,the two models exhibited distinct behaviors.Gemini 1.5 Pro did not show an overall preference for either positive or negative reports.However,its judgments were significantly influenced by the order of information presentation,demonstrating a“recency effect,”meaning it tended to support the report presented later.The proportion of erroneous information within the reports had no significant impact on Gemini 1.5 Pro’s decisions.In contrast,DeepSeek exhibited an overall confirmation bias,showing a clear preference for positive reports.Similar to Gemini 1.5 Pro,DeepSeek’s decisions were also significantly affected by the order of information presentation,while the proportion of misinformation had no significant effect.These results reveal human-like cognitive vulnerabilities in advanced LLMs,highlighting critical challenges to their reliability and objectivity in decision-making processes.Gemini 1.5 Pro’s sensitivity to presentation order and DeepSeek’s general preference for positive information,coupled with its sensitivity to order,underscore the need for careful evaluation of potential cognitive biases during the development and application of AI.The study suggests that effective measures are necessary to mitigate these biases and prevent potential negative societal impacts.Future research should include a broader range of models for comparative analysis and explore more complex interactive scenarios to further understand and address these phenomena.The findings contribute significantly to understanding the limitations and capabilities of current AI systems,guiding their responsible development,and anticipating their potential societal implications.展开更多
Boron neutron capture therapy (BNCT) is based on the incorporation of boron-containing drugs to cancer cells and the nuclear reaction of 10B atoms by thermal neutron irradiation results in tumor degeneration. For the ...Boron neutron capture therapy (BNCT) is based on the incorporation of boron-containing drugs to cancer cells and the nuclear reaction of 10B atoms by thermal neutron irradiation results in tumor degeneration. For the development of this therapy, currently, long time and high cost consuming experiments using many animals are required. In this study, we constructed a new in vitro evaluation system for BNCT by combination of an artificial tumor tissue model, comprised of normal human dermal-derived fibroblast (NHDF) and human pancreatic cancer cell line BxPC3, and the optical plastic material CR-39 as a solid state nuclear track detector. Administration of boronophenylalanine (10BPA) as a boron-containing drug and neutron irradiation up to 2.52 × 1012 n/cm2 to the control tissue constructed by NHDF (NHDF3D) and BxPC3 cell loaded tissue (NHDF3D/BxPC3) resulted in detection of 1.6 times higher number of α-ray/recoiled Li particle tracks in NHDF3D/BxPC3 in comparison to NHDF3D, demonstrating that putative irradiation damage to cancer cells can be evaluated by this system. On a cellular level, the hit number of α-ray/recoiled Li particle tracks per single BxPC3 cells and NHDF was evaluated as 5.46 and 1.71, respectively. The tumor and normal tissue ratio (T/N ratio) was 3.19, which was corresponded with those of BPA as 2 - 4 that reported in the previous studies. This new in vitro evaluation system may provide a useful tool for a low cost, labor-saving, and non-animal method for the development of new boron-containing drugs or improvement of BNCT conditions.展开更多
Objective:To analyze and comprehensively study the clinical effects of humanized psychological nursing model in general surgery nursing.Methods:The study period was from January 2018 to December 2020.A sample of 200 p...Objective:To analyze and comprehensively study the clinical effects of humanized psychological nursing model in general surgery nursing.Methods:The study period was from January 2018 to December 2020.A sample of 200 patients who were admitted to The Second People's Hospital of Taizhou City for general surgery were selected.Random lottery grouping was used to divide the subjects into a study group and a control group.The sample within each group was n=100.The patients in the control group were provided with conventional general surgery nursing plan whereas the patients in the study group received the same nursing plan but with addition of the humanized psychological nursing model.The indicators of the two groups were compared and analyzed.Results:Comparing the scores from Hamilton Anxiety Rating Scale(HAMA)and Hamilton Depression Rating Scale(HAMD)after nursing intervention,postoperative visual analog scale(VAS),hospital stay,and patient satisfaction with the nursing services between the two groups,the study group was better(P<0.05).Conclusion:The implementation of humanized psychological nursing model in general surgery nursing had a significant effect in which there were improvements in regard to the patientsJ mental state and their satisfaction with the nursing services.Hence,it is worthy of promotion.展开更多
DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expres...DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.展开更多
Brown carbon(BrC)has attracted widespread attention because of its strong absorption of solar radiation in the ultraviolet-visible wavelength range,which causes adverse impacts on human health.Originally,BrC was a phy...Brown carbon(BrC)has attracted widespread attention because of its strong absorption of solar radiation in the ultraviolet-visible wavelength range,which causes adverse impacts on human health.Originally,BrC was a physically defined class of substances.However,current research has gradually shifted towards the identification of its chemical groups,because its light-absorbing capability,chemical properties and health effects mainly depend on the chemical composition of its chromophores.Therefore,this review mainly focuses on the chemical understanding of BrC based on chromophores,and the secondary formation mechanism of chromophores,photosensitized reactions,and human health effects of BrC were detailly summarized.Firstly,BrC chromophores are divided into five categories:nitrogen-heterocycles,nitrogen-chain,aromatic species,oligomers and sulfur-containing organic compounds.Different chromophore precursor species exhibit variations,and their formation mechanisms are also distinct.Secondly,BrC can trigger the production of secondary organic aerosol(SOA)precursors or cause SOA growth because BrC is an important component of light-absorbing particles formed during incomplete combustion of biomass and fossil fuels,potentially exerting adverse effects on human health.Finally,developing sufficiently separated methods for BrC and refining algorithms and machine learning can lead to a more effective understanding of the chemical composition of chromophores,thus enabling better evaluation of the atmospheric effects and health impacts of BrC.In all,this review provides new insights into the categories of BrC chromophores and new advance in secondary formation mechanisms,photosensitized reactions,and human health effects on the basis of chemical structures.展开更多
Typically,seat or floor acceleration is used to evaluate the ride comfort of a high-speed train.However,the dynamic performance of the human body significantly differs from that of the floor.Therefore,using the car bo...Typically,seat or floor acceleration is used to evaluate the ride comfort of a high-speed train.However,the dynamic performance of the human body significantly differs from that of the floor.Therefore,using the car body floor and seat accelerations to calculate the ride comfort index of a high-speed train may not reflect the true feelings of passengers.In this study,a 3D human-seat-vehicle-track coupling model was established to investigate the ride comfort of highspeed train passengers.The seated human model,which considers the longitudinal,lateral,vertical,pitching,yawing,and rolling motions,comprises the head,upper torso,lower torso,pelvis,thighs,and shanks.The model parameters were determined using multi-axis excitation measurement data based on a genetic algorithm.Subsequently,the applicability of the small-angle assumption and natural modes of the human model is analyzed.Using the coupling system model,the vibration characteristics of the human-seat interaction surface were analyzed.The ride comfort of the high-speed train and human body dynamic performance were analyzed under normal conditions,track geometric irregularities and train meeting conditions.The results showed that the passenger seats in the front and rear rows adjacent to the window had a higher acceleration value than the others.The human backrest and seat pad connection points have higher vibration amplitudes than the car body floor in the human-sensitive frequency range,indicating that using the acceleration values on the floor may underestimate the discomfort of passengers.The ride comfort of high-speed trains diminishes in the presence of track geometric irregularities and when trains pass each other.When the excitation frequency of track geometry irregularities approached the natural frequency of the human-seat-vehicle system,ride comfort in high-speed trains decreased significantly.Moreover,using seat acceleration to evaluate passenger ride comfort overlooks the vibration characteristics of the human body.The transient aerodynamic force generated when the train meets can cause a larger car body roll and lateral motion at 2 Hz,which,in turn,decreases the passenger ride comfort.This study presents a detailed human-seat-vehicle-track coupling system that can reflect a passenger’s dynamic performance under complex operating conditions.展开更多
Rock is exposed to the combined effects of the confining pressure and strain rate during the dynamic excavation process in deeply buried high-stress tunnels.Therefore,a constitutive model that considers both the strai...Rock is exposed to the combined effects of the confining pressure and strain rate during the dynamic excavation process in deeply buried high-stress tunnels.Therefore,a constitutive model that considers both the strain rate and the confining pressure effect plays a crucial role in evaluating the disturbance and stability of deeply buried tunnels.Taking mudstone as an example,a series of tests were performed to reveal the combined effect of the strain rate and confining pressure on the mechanical behavior of soft rock,and a novel statistical damage constitutive model was proposed.The confining pressures of 0 MPa,10 MPa,20 MPa,and 30 MPa and strain rates of 10^(-5)s^(-1),10^(-4)s^(-1),10^(-3)s^(-1),and 10^(-2)s^(-1)were investigated.The results show that the rock strength increases with increasing confining pressure and strain rate,and that the contributions of these two factors can be considered independent of each other.However,an increase in the confining pressure reduces the degree of rock damage and increases the ductility of the sample at failure,whereas the strain rate has the opposite effect.Finally,a full deformation process damage model considering strain rate effect is established based on a modified Hoek‒Brown strength criterion considering the strain rate.The model can capture the nonlinear increase in strength and elastic modulus with increasing confining pressure and strain rate,reproducing the brittle‒ductile transition characteristics and the full deformation process.展开更多
With the continuous development of artificial intelligence technology,large-scale language models have demonstrated significant potential across various fields.In education,an increasing number of methods leverage lar...With the continuous development of artificial intelligence technology,large-scale language models have demonstrated significant potential across various fields.In education,an increasing number of methods leverage large-scale language models to enhance educational quality,introducing new ideas and opportunities for reform.However,training a large language model with substantial professional knowledge to meet teaching needs incurs high labor costs.The fine-tuning approach based on human feedback alignment can significantly lower these model labor costs.Consequently,this article thoroughly investigates the application of this large prediction model method,which is rooted in human feed-back alignment,within the educational reform of algorithm analysis and design courses and examines its impact on teaching effectiveness and students’learning experiences.展开更多
Spillover of trypanosomiasis parasites from wildlife to domestic livestock and humans remains a major challenge world over.With the disease targeted for elimination by 2030,assessing the impact of control strategies i...Spillover of trypanosomiasis parasites from wildlife to domestic livestock and humans remains a major challenge world over.With the disease targeted for elimination by 2030,assessing the impact of control strategies in communities where there are human-cattle-wildlife interactions is therefore essential.A compartmental framework incorporating tsetse flies,humans,cattle,wildlife and various disease control strategies is developed and analyzed.The reproduction is derived and its sensitivity to different model parameters is investigated.Meanwhile,the optimal control theory is used to identify a combination of control strategies capable of minimizing the infected human and cattle population over time at minimal costs of implementation.The results indicates that tsetse fly mortality rate is strongly and negatively correlated to the reproduction number.It is also established that tsetse fly feeding rate in strongly and positively correlated to the reproduction number.Simulation results indicates that time dependent control strategies can significantly reduce the infections.Overall,the study shows that screening and treatment of humans may not lead to disease elimination.Combining this strategy with other strategies such as screening and treatment of cattle and vector control strategies will result in maximum reduction of tsetse fly population and disease elimination.展开更多
Non-Schmid(NS)effects in body-centered cubic(BCC)single-phase metals have received special attention in recent years.However,a deep understanding of these effects in the BCC phase of dual-phase(DP)steels has not yet b...Non-Schmid(NS)effects in body-centered cubic(BCC)single-phase metals have received special attention in recent years.However,a deep understanding of these effects in the BCC phase of dual-phase(DP)steels has not yet been reached.This study explores the NS effects in ferrite-martensite DP steels,where the ferrite phase has a BCC crystallographic structure and exhibits NS effects.The influences of NS stress components on the mechanical response of DP steels are studied,including stress/strain partitioning,plastic flow,and yield surface.To this end,the mechanical behavior of the two phases is described by dislocation density-based crystal plasticity constitutive models,with the NS effect only incorporated into the ferrite phase modeling.The NS stress contribution is revealed for two types of microstructures commonly observed in DP steels:equiaxed phases with random grain orientations,and elongated phases with preferred grain orientations.Our results show that,in the case of a microstructure with equiaxed phases,the normal NS stress components play significant roles in tension-compression asymmetry.By contrast,in microstructures with elongated phases,a combined influence of crystallographic texture and NS effect is evident.These findings advance our knowledge of the intricate interplay between microstructural features and NS effects and help to elucidate the mechanisms underlying anisotropic-asymmetric plastic behavior of DP steels.展开更多
Hydraulic fracturing techniques are commonly used to enhance the production of tight reservoirs.Generally,the effect of hydraulic fracturing can be appraised through hydraulic fracturing experiments in the laboratory,...Hydraulic fracturing techniques are commonly used to enhance the production of tight reservoirs.Generally,the effect of hydraulic fracturing can be appraised through hydraulic fracturing experiments in the laboratory,in which acoustic emission(AE)is often used to monitor the fracturing process.At present,the number of AE events and spatial distribution of AE locations are the two main factors commonly conside red in hydraulic fracturing effectiveness evaluatio n.Howeve r,these commonly used evaluation methods overlook two crucial aspects:the connectivity among fractures and the tensile and shear properties of fractures induced by hydraulic fracturing.In this technical note,we consider the influence of these two previously overlooked aspects on the evaluation of hydraulic fracturing effectiveness by establishing a connected fracture model using AE data.The proposed approach links up AE events based on their spatio-temporal relationship and builds a fracture network called the connection model.Then,the characteristic of the fracture network is represented by the fractal dimension to reveal the complexity of fractures in the network.We extract the tensile-shear properties of each fracture based on the inversion of AE events'focal mechanism.Finally,based on the pre-known fracturing effectiveness of a fracture network,we compare the connection model of AE events in several triaxial hydraulic experiments.Our findings indicate that a comprehensive evaluation of hydraulic fracturing effectiveness can be achieved by considering both the connectivity of AE locations and the tensile-shear properties of AE events.This work aims to provide a more rational method for characterizing rock fracture networks and evaluating rock fracturing effects using AE data.展开更多
Natural biomaterials with staggered structures exhibit remarkable mechanical properties owing to their unique microstructure.The microstructural arrangement can induce size-dependent and viscoelastic responses within ...Natural biomaterials with staggered structures exhibit remarkable mechanical properties owing to their unique microstructure.The microstructural arrangement can induce size-dependent and viscoelastic responses within the material.This study proposes a strain gradient viscoelastic shear-lag model to elucidate the intricate interplay between the strain gradient and viscoelastic effect in staggered shells.Our model clarifies the role of both effects,as experimentally observed,in governing the mechanical properties of these biomaterials.A detailed characterization of the size-dependent responses is conducted through the utilization of a microstructural characterization parameter alongside viscoelastic constitutive models.Then,the effective modulus of the staggered shell is defined and its formula is derived through the Laplace transform.Compared to classical models and even the strain gradient elastic model,the strain gradient viscoelastic model offers calculated moduli that are more consistent with experimental data.Moreover,the strengthening-softening effect of staggered structures is predicted using the strain gradient viscoelastic model and critical energy principle.This study contributes significantly to our understanding of the mechanical behavior of structural materials.Additionally,it provides insights for the design of advanced bionic materials with tailored properties.展开更多
Autocatalysis from the by-product metal sulfides plays a critical role in the residual oil hydrotreating(RHT)process.However,it has not been considered to build the catalyst deactivation models,which probably is one i...Autocatalysis from the by-product metal sulfides plays a critical role in the residual oil hydrotreating(RHT)process.However,it has not been considered to build the catalyst deactivation models,which probably is one important reason that the widely used S-type deactivation models are inaccurate in predicting some RHT processes'deactivation profiles.A three-stage catalyst deactivation model was first developed to fill this gap based on the mechanism inferred from the experimental and literature data.This model accounts for active site formation from by-product metal sulfides,deactivation due to active site coverage by coke formation and metal deposition,active site poisoning by highly-adsorbed species,active phase sintering,and diffusion resistance from the pore blockage at the same time,resulting in a function of dimensionless metals-on-catalyst.Then,the effectiveness of the proposed model was evaluated using the industrial data of an RHT unit and the experimental data from the literature,either in combination with reaction kinetics or independently.Results showed that RHT processes with clear autocatalytic effects may display different types of deactivation profiles from the traditional"S"shape.However,the proposed model was able to accurately track the entire deactivation curve of the RHT process and well predict the product properties.This approach yields valuable insights into the intricate autocatalytic effect that remarkably contributes to the performance modification of RHT catalysts.It is highly recommended that further research should be conducted on this topic,as it shows great potential to significantly advance catalyst and process development.展开更多
基金supported by the Grant PID2021-126715OB-IOO financed by MCIN/AEI/10.13039/501100011033 and"ERDFA way of making Europe"by the Grant PI22CⅢ/00055 funded by Instituto de Salud CarlosⅢ(ISCⅢ)+6 种基金the UFIECPY 398/19(PEJ2018-004965) grant to RGS funded by AEI(Spain)the UFIECPY-396/19(PEJ2018-004961)grant financed by MCIN (Spain)FI23CⅢ/00003 grant funded by ISCⅢ-PFIS Spain) to PMMthe UFIECPY 328/22 (PEJ-2021-TL/BMD-21001) grant to LM financed by CAM (Spain)the grant by CAPES (Coordination for the Improvement of Higher Education Personnel)through the PDSE program (Programa de Doutorado Sanduiche no Exterior)to VSCG financed by MEC (Brazil)
文摘The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cerebral organoids have emerged as valuable tools offering a more complex,versatile,and human-relevant system than traditional animal models,which are often unable to replicate the intricate architecture and functionality of the human brain.Since human cerebral organoids are a state-of-the-art model for the study of neurodevelopment and different pathologies affecting the brain,this field is currently under constant development,and work in this area is abundant.In this review,we give a complete overview of human cerebral organoids technology,starting from the different types of protocols that exist to generate different human cerebral organoids.We continue with the use of brain organoids for the study of brain pathologies,highlighting neurodevelopmental,psychiatric,neurodegenerative,brain tumor,and infectious diseases.Because of the potential value of human cerebral organoids,we describe their use in transplantation,drug screening,and toxicology assays.We also discuss the technologies available to study cell diversity and physiological characteristics of organoids.Finally,we summarize the limitations that currently exist in the field,such as the development of vasculature and microglia,and highlight some of the novel approaches being pursued through bioengineering.
基金supported by funding from the U.S.Department of Defense,Nos.W911NF-23-1-0276,W81XWH2211065the NIH,No.P41EB027062(all to DLK).
文摘Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury in humans are severely limited by the inaccessibility of living brain tissue,creating a need for in vitro model systems to study cellular mechanisms of degeneration and regeneration following injury.Here we describe methods to establish a 3D human brain tissue model,consisting of a silk-collagen composite scaffold seeded with human neurons,astrocytes,and microglia,to study neuro-regeneration after traumatic brain injury.Step-by-step fabrication,injury,and analytical assessments of the 3D“triculture”system are described.Using this tissue model system,we demonstrate that glial cells promote regeneration of neuronal networks within the injury site over several weeks post-injury.Further,we found that regenerating networks in the 3D triculture tissues did not secrete early markers of neurodegenerative disease,but displayed signs of excitatory/inhibitory imbalance,suggesting that pro-regenerative treatments for traumatic brain injury in the future may need to direct cell differentiation to promote proper function.The mechanical stability of this model system enables physiologically relevant impact injury and long-term culture capability,while its modular design enables modification of cell contents,extracellular matrix composition,and scaffold properties.This adaptability could allow the integration of patient-derived cells and genetic modifications to bridge research and clinical applications focused on personalized targeted therapies.This in vitro system provides a valuable platform for accelerating therapeutic advancements in traumatic brain injury and neurodegenerative disorders,ultimately improving patient outcomes.
基金National Social Science Fund of China,No.24BTJ037Significant Project of the National Social Science Foundation of China,No.23&ZD102+1 种基金The Key Research Base for Philosophy and Social Sciences in Hangzhou:ESG and Sustainable Development Research Center,No.25JD053Zhejiang Provincial Statistical Scientific Research Project,No.25TJZZ12。
文摘Establishing a Regional Marine Innovation Ecosystem(RMIE)is crucial for advancing China’s maritime power strategy.Concurrently,developing a competitive RMIE serves as a strategic lever to enhance the global competitiveness of China’s marine science sector.However,research on the competitiveness of RMIE is limited.To this end,this study constructs an evaluation index system based on ecological niche theory to assess the competitiveness of RMIE in China from 2008 to 2020.The findings indicate generally fluctuating upward trends in RMIE’s competitiveness,with Shandong,Jiangsu,and Guangdong showing relatively strong positions.Notably,there are significant intra-regional imbalances and inter-regional asynchrony in RMIE’s competitiveness across China’s three major marine economic circles.Recognizing that forecasting RMIE competitiveness can inform policy formulation,this paper proposes a systematic multivariate grey interval prediction model that incorporates spatial proximity effects.This model effectively captures the interval and uncertainty characteristics of RMIE’s competitiveness while considering spatial relationships among regions.Results from comparative analysis,robustness tests,and sensitivity analysis demonstrate its superior applicability and forecasting accuracy.Additionally,interval forecasts and scenario analyses suggest that RMIE competitiveness will maintain stable growth,although unbalanced and unsynchronized development is likely to persist.Overall,the approach developed for evaluating and forecasting RMIE competitiveness offers valuable insights for effective policy formulation.
基金supported by the National Science and Tech-nology Major Project of China(Nos.2017-II-0007-0021 and J2019-II-0017-0038)。
文摘Aerodynamic performances of axial compressors are significantly affected by variation of Reynolds number in aero-engines.In the design and analysis of compressors,previous correction methods for cascades and stages have difficulties in predicting comprehensively Reynolds number effects on airfoils,matching and characteristics curves.This study proposes Re-correction models for loss,deviation angle and endwall blockage based on classical theories and cascade tests,and loss and deviation models show good agreement in test data of NACA65 and C4 cascades.Throughflow method considering Reynolds number effects is developed by integrating the correction models into a verified Streamline Curvature(SLC)tool.A three-stage axial compressor is investigated through SLC and CFD methods from design Reynolds number(Red=2106)to low Re=4104,and the numerical methods are validated with test data of characteristic curves and spanwise distributions at Red.With Re reduction,SLC method with correction models well predicts variation in overall performances compared with CFD calculations and Wassell's model.Streamwise and spanwise matching such as total pressure and loss distributions in SLC predictions are basically consistent with those in CFD results at near-stall points under design and low Reynolds numbers.SLC and CFD methods share similar detections of stall risks in the third stage(Stg3),and their analyses of diffusion processes deviate to some extent due to different predictions in separated endwall flow.The correction models can be adopted to consider Reynolds number effects in through-flow design and analysis of axial compressors.
基金supported in part by the National Natural Science Foundation of China(62173048,62373065,61873304,62106023)the Key Science and Technology Projects of Jilin Province,China(20230204081YY)the Research and Innovation Team of Anhui Province(2024AH010023)。
文摘Dear Editor,This letter presents a model predictive control(MPC)scheme for human-robot interaction(HRI)in a multi-joint exoskeleton robot(ER)driven by series elastic actuator(SEA).The proposed scheme in robot-in-charge(RIC)mode facilitates the ER driven by SEA to provide the required assistance and support for the subject.
基金supported by the Yunnan Province Science and Technology Plan Project(No.202403AA080001-4)the Key Research and Development Project of Guangxi,China(No.guikeAB24010144)the National Key Research and Development Project of China(Nos.2021YFB3901402 and 2018YFC1504802)。
文摘To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests were conducted,and a corresponding piecewise damage constitutive model(PDCM)was established.We found that both dry-wet cycling and precompression stress deteriorate the physical properties,alter the microscopic characteristics,and reduce the mechanical properties of the LHF.These degradations are particularly pronounced under the CEDWCPS,although the magnitude of these changes gradually diminishes with the progression of dry-wet cycling.Meanwhile,they also reduce the deformation degree,prolong the micropore compaction stage,shorten the unstable crack propagation stage,lower the frequency and intensity of AE events,decrease the high-amplitude and high-frequency AE signals,enlarge crack scales,and shorten the crack initiation time.Among the changes of these indicators,the dry-wet cycling plays a dominant role.The crack types of LHF under the CEDWCPS(LHFCEDWCPS)are predominantly tensile cracks,supplemented by shear cracks.The failure mode can be defined as tensileshear composite failure.Finally,the established PDCM effectively captures the nonlinear deformation of micropore and the linear deformation of the matrix in LHFCEDWCPS,with all corresponding R^(2) consistently exceeding 0.97.
基金National Natural Science Foundation of China,Grant/Award Number:82222041 and 82241068CAMS Innovation Fund for Medical Sciences,Grant/Award Number:2021-I2M-1-037 and 2023-I2M-2-001+1 种基金National Key Research and Development Project of China,Grant/Award Number:2023YFC2309000Beijing Natural Science Foundation,Grant/Award Number:Z220018。
文摘Human herpesvirus,a specific group within the herpesvirus family,is responsible for a variety of human diseases.These viruses can infect humans and other vertebrates,primarily targeting the skin,mucous membranes,and neural tissues,thereby signifi-cantly impacting the health of both humans and animals.Animal models are crucial for studying virus pathogenesis,vaccine development,and drug testing.Despite several vaccine candidates being in preclinical and clinical stages,no vaccines are current available to prevent lifelong infections caused by these human herpesviruses,except for varicella-zoster virus(VZV)vaccine.However,the strict host tropism of herpes-viruses and other limitations mean that no single animal model can fully replicate all key features of human herpesvirus-associated diseases.This makes it challeng-ing to evaluate vaccines and antivirals against human herpesvirus comprehensively.Herein,we summarize the current animal models used to study the human herpesvi-ruses includingα-herpesviruses(herpes simplex virus type 1(HSV-1),HSV-2,VZV),β-herpesviruses(human cytomegalovirus(HCMV),γ-herpesviruses(Epstein-Barr virus(EBV))and Kaposi's sarcoma herpesvirus(KSHV)).By providing concise information and detailed analysis of the potential,limitations and applications of various models,such as non-human primates,mice,rabbits,guinea pigs,and tree shrews,this sum-mary aims to help researchers efficiently select the most appropriate animal model,offering practical guidance for studying human herpesvirus.
文摘The rapid advancement of Artificial Intelligence(AI)and Large Language Models(LLMs)has led to their increasing integration into various domains,from text generation and translation to question-answering.However,a critical question remains:do these sophisticated models,much like humans,exhibit susceptibility to cognitive biases?Understanding the presence and nature of such biases in AI is paramount for assessing their reliability,enhancing their performance,and predicting their societal impact.This research specifically investigates the susceptibility of Google’s Gemini 1.5 Pro and DeepSeek,two prominent LLMs,to framing effects and confirmation bias.The study meticulously designed a series of experimental trials,systematically manipulating information proportions and presentation orders to evaluate these biases.In the framing effect experiment,a genetic testing decision-making scenario was constructed.The proportion of positive and negative information(e.g.,20%,50%,or 80%positive)and their presentation order were varied.The models’inclination towards undergoing genetic testing was recorded.For the confirmation bias experiment,two reports-one positive and one negative-about“RoboTaxi”autonomous vehicles were provided.The proportion of erroneous information within these reports(10%,30%,and 50%)and their presentation order were systematically altered,and the models’support for each report was assessed.The findings demonstrate that both Gemini 1.5 Pro and DeepSeek are susceptible to framing effects.In the genetic testing scenario,their decision-making was primarily influenced by the proportion of positive and negative information presented.When the proportion of positive information was higher,both models showed a greater inclination to recommend or proceed with genetic testing.Conversely,a higher proportion of negative information led to greater caution or a tendency not to recommend the testing.Importantly,the order in which this information was presented did not significantly influence their decisions in the framing effect scenarios.Regarding confirmation bias,the two models exhibited distinct behaviors.Gemini 1.5 Pro did not show an overall preference for either positive or negative reports.However,its judgments were significantly influenced by the order of information presentation,demonstrating a“recency effect,”meaning it tended to support the report presented later.The proportion of erroneous information within the reports had no significant impact on Gemini 1.5 Pro’s decisions.In contrast,DeepSeek exhibited an overall confirmation bias,showing a clear preference for positive reports.Similar to Gemini 1.5 Pro,DeepSeek’s decisions were also significantly affected by the order of information presentation,while the proportion of misinformation had no significant effect.These results reveal human-like cognitive vulnerabilities in advanced LLMs,highlighting critical challenges to their reliability and objectivity in decision-making processes.Gemini 1.5 Pro’s sensitivity to presentation order and DeepSeek’s general preference for positive information,coupled with its sensitivity to order,underscore the need for careful evaluation of potential cognitive biases during the development and application of AI.The study suggests that effective measures are necessary to mitigate these biases and prevent potential negative societal impacts.Future research should include a broader range of models for comparative analysis and explore more complex interactive scenarios to further understand and address these phenomena.The findings contribute significantly to understanding the limitations and capabilities of current AI systems,guiding their responsible development,and anticipating their potential societal implications.
文摘Boron neutron capture therapy (BNCT) is based on the incorporation of boron-containing drugs to cancer cells and the nuclear reaction of 10B atoms by thermal neutron irradiation results in tumor degeneration. For the development of this therapy, currently, long time and high cost consuming experiments using many animals are required. In this study, we constructed a new in vitro evaluation system for BNCT by combination of an artificial tumor tissue model, comprised of normal human dermal-derived fibroblast (NHDF) and human pancreatic cancer cell line BxPC3, and the optical plastic material CR-39 as a solid state nuclear track detector. Administration of boronophenylalanine (10BPA) as a boron-containing drug and neutron irradiation up to 2.52 × 1012 n/cm2 to the control tissue constructed by NHDF (NHDF3D) and BxPC3 cell loaded tissue (NHDF3D/BxPC3) resulted in detection of 1.6 times higher number of α-ray/recoiled Li particle tracks in NHDF3D/BxPC3 in comparison to NHDF3D, demonstrating that putative irradiation damage to cancer cells can be evaluated by this system. On a cellular level, the hit number of α-ray/recoiled Li particle tracks per single BxPC3 cells and NHDF was evaluated as 5.46 and 1.71, respectively. The tumor and normal tissue ratio (T/N ratio) was 3.19, which was corresponded with those of BPA as 2 - 4 that reported in the previous studies. This new in vitro evaluation system may provide a useful tool for a low cost, labor-saving, and non-animal method for the development of new boron-containing drugs or improvement of BNCT conditions.
文摘Objective:To analyze and comprehensively study the clinical effects of humanized psychological nursing model in general surgery nursing.Methods:The study period was from January 2018 to December 2020.A sample of 200 patients who were admitted to The Second People's Hospital of Taizhou City for general surgery were selected.Random lottery grouping was used to divide the subjects into a study group and a control group.The sample within each group was n=100.The patients in the control group were provided with conventional general surgery nursing plan whereas the patients in the study group received the same nursing plan but with addition of the humanized psychological nursing model.The indicators of the two groups were compared and analyzed.Results:Comparing the scores from Hamilton Anxiety Rating Scale(HAMA)and Hamilton Depression Rating Scale(HAMD)after nursing intervention,postoperative visual analog scale(VAS),hospital stay,and patient satisfaction with the nursing services between the two groups,the study group was better(P<0.05).Conclusion:The implementation of humanized psychological nursing model in general surgery nursing had a significant effect in which there were improvements in regard to the patientsJ mental state and their satisfaction with the nursing services.Hence,it is worthy of promotion.
文摘DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.
基金supported by the National Natural Science Foundation of China(Nos.42020104001,42327806 and 42177354).
文摘Brown carbon(BrC)has attracted widespread attention because of its strong absorption of solar radiation in the ultraviolet-visible wavelength range,which causes adverse impacts on human health.Originally,BrC was a physically defined class of substances.However,current research has gradually shifted towards the identification of its chemical groups,because its light-absorbing capability,chemical properties and health effects mainly depend on the chemical composition of its chromophores.Therefore,this review mainly focuses on the chemical understanding of BrC based on chromophores,and the secondary formation mechanism of chromophores,photosensitized reactions,and human health effects of BrC were detailly summarized.Firstly,BrC chromophores are divided into five categories:nitrogen-heterocycles,nitrogen-chain,aromatic species,oligomers and sulfur-containing organic compounds.Different chromophore precursor species exhibit variations,and their formation mechanisms are also distinct.Secondly,BrC can trigger the production of secondary organic aerosol(SOA)precursors or cause SOA growth because BrC is an important component of light-absorbing particles formed during incomplete combustion of biomass and fossil fuels,potentially exerting adverse effects on human health.Finally,developing sufficiently separated methods for BrC and refining algorithms and machine learning can lead to a more effective understanding of the chemical composition of chromophores,thus enabling better evaluation of the atmospheric effects and health impacts of BrC.In all,this review provides new insights into the categories of BrC chromophores and new advance in secondary formation mechanisms,photosensitized reactions,and human health effects on the basis of chemical structures.
基金Supported by National Natural Science Foundation of China(Grant No.U1934203)Research and Development Project of Science and Technology of China Railway Corporation(Grant No.P2023T002)。
文摘Typically,seat or floor acceleration is used to evaluate the ride comfort of a high-speed train.However,the dynamic performance of the human body significantly differs from that of the floor.Therefore,using the car body floor and seat accelerations to calculate the ride comfort index of a high-speed train may not reflect the true feelings of passengers.In this study,a 3D human-seat-vehicle-track coupling model was established to investigate the ride comfort of highspeed train passengers.The seated human model,which considers the longitudinal,lateral,vertical,pitching,yawing,and rolling motions,comprises the head,upper torso,lower torso,pelvis,thighs,and shanks.The model parameters were determined using multi-axis excitation measurement data based on a genetic algorithm.Subsequently,the applicability of the small-angle assumption and natural modes of the human model is analyzed.Using the coupling system model,the vibration characteristics of the human-seat interaction surface were analyzed.The ride comfort of the high-speed train and human body dynamic performance were analyzed under normal conditions,track geometric irregularities and train meeting conditions.The results showed that the passenger seats in the front and rear rows adjacent to the window had a higher acceleration value than the others.The human backrest and seat pad connection points have higher vibration amplitudes than the car body floor in the human-sensitive frequency range,indicating that using the acceleration values on the floor may underestimate the discomfort of passengers.The ride comfort of high-speed trains diminishes in the presence of track geometric irregularities and when trains pass each other.When the excitation frequency of track geometry irregularities approached the natural frequency of the human-seat-vehicle system,ride comfort in high-speed trains decreased significantly.Moreover,using seat acceleration to evaluate passenger ride comfort overlooks the vibration characteristics of the human body.The transient aerodynamic force generated when the train meets can cause a larger car body roll and lateral motion at 2 Hz,which,in turn,decreases the passenger ride comfort.This study presents a detailed human-seat-vehicle-track coupling system that can reflect a passenger’s dynamic performance under complex operating conditions.
基金financed by the Key Technology R&D Plan of Yunnan Provincial Department of Science and Technology(Grant No.202303AA080003)the Shanghai Rising-Star Program(Grant No.23QB1404800).
文摘Rock is exposed to the combined effects of the confining pressure and strain rate during the dynamic excavation process in deeply buried high-stress tunnels.Therefore,a constitutive model that considers both the strain rate and the confining pressure effect plays a crucial role in evaluating the disturbance and stability of deeply buried tunnels.Taking mudstone as an example,a series of tests were performed to reveal the combined effect of the strain rate and confining pressure on the mechanical behavior of soft rock,and a novel statistical damage constitutive model was proposed.The confining pressures of 0 MPa,10 MPa,20 MPa,and 30 MPa and strain rates of 10^(-5)s^(-1),10^(-4)s^(-1),10^(-3)s^(-1),and 10^(-2)s^(-1)were investigated.The results show that the rock strength increases with increasing confining pressure and strain rate,and that the contributions of these two factors can be considered independent of each other.However,an increase in the confining pressure reduces the degree of rock damage and increases the ductility of the sample at failure,whereas the strain rate has the opposite effect.Finally,a full deformation process damage model considering strain rate effect is established based on a modified Hoek‒Brown strength criterion considering the strain rate.The model can capture the nonlinear increase in strength and elastic modulus with increasing confining pressure and strain rate,reproducing the brittle‒ductile transition characteristics and the full deformation process.
文摘With the continuous development of artificial intelligence technology,large-scale language models have demonstrated significant potential across various fields.In education,an increasing number of methods leverage large-scale language models to enhance educational quality,introducing new ideas and opportunities for reform.However,training a large language model with substantial professional knowledge to meet teaching needs incurs high labor costs.The fine-tuning approach based on human feedback alignment can significantly lower these model labor costs.Consequently,this article thoroughly investigates the application of this large prediction model method,which is rooted in human feed-back alignment,within the educational reform of algorithm analysis and design courses and examines its impact on teaching effectiveness and students’learning experiences.
文摘Spillover of trypanosomiasis parasites from wildlife to domestic livestock and humans remains a major challenge world over.With the disease targeted for elimination by 2030,assessing the impact of control strategies in communities where there are human-cattle-wildlife interactions is therefore essential.A compartmental framework incorporating tsetse flies,humans,cattle,wildlife and various disease control strategies is developed and analyzed.The reproduction is derived and its sensitivity to different model parameters is investigated.Meanwhile,the optimal control theory is used to identify a combination of control strategies capable of minimizing the infected human and cattle population over time at minimal costs of implementation.The results indicates that tsetse fly mortality rate is strongly and negatively correlated to the reproduction number.It is also established that tsetse fly feeding rate in strongly and positively correlated to the reproduction number.Simulation results indicates that time dependent control strategies can significantly reduce the infections.Overall,the study shows that screening and treatment of humans may not lead to disease elimination.Combining this strategy with other strategies such as screening and treatment of cattle and vector control strategies will result in maximum reduction of tsetse fly population and disease elimination.
基金supported by the National Natural Science Foundation of China(Grant Nos.12202153 and 12072123).
文摘Non-Schmid(NS)effects in body-centered cubic(BCC)single-phase metals have received special attention in recent years.However,a deep understanding of these effects in the BCC phase of dual-phase(DP)steels has not yet been reached.This study explores the NS effects in ferrite-martensite DP steels,where the ferrite phase has a BCC crystallographic structure and exhibits NS effects.The influences of NS stress components on the mechanical response of DP steels are studied,including stress/strain partitioning,plastic flow,and yield surface.To this end,the mechanical behavior of the two phases is described by dislocation density-based crystal plasticity constitutive models,with the NS effect only incorporated into the ferrite phase modeling.The NS stress contribution is revealed for two types of microstructures commonly observed in DP steels:equiaxed phases with random grain orientations,and elongated phases with preferred grain orientations.Our results show that,in the case of a microstructure with equiaxed phases,the normal NS stress components play significant roles in tension-compression asymmetry.By contrast,in microstructures with elongated phases,a combined influence of crystallographic texture and NS effect is evident.These findings advance our knowledge of the intricate interplay between microstructural features and NS effects and help to elucidate the mechanisms underlying anisotropic-asymmetric plastic behavior of DP steels.
基金financial support from the subprojects of the Natural Science Foundation of China(No.42302326)the Shenzhen Science and Technology Program(JCYJ20220530113612028)+1 种基金the National Key Research and Development Program of China(Grant No.2023YFC3707905)the Fundamental Research Funds for the Central Universities(JZ2025HGTB0191)。
文摘Hydraulic fracturing techniques are commonly used to enhance the production of tight reservoirs.Generally,the effect of hydraulic fracturing can be appraised through hydraulic fracturing experiments in the laboratory,in which acoustic emission(AE)is often used to monitor the fracturing process.At present,the number of AE events and spatial distribution of AE locations are the two main factors commonly conside red in hydraulic fracturing effectiveness evaluatio n.Howeve r,these commonly used evaluation methods overlook two crucial aspects:the connectivity among fractures and the tensile and shear properties of fractures induced by hydraulic fracturing.In this technical note,we consider the influence of these two previously overlooked aspects on the evaluation of hydraulic fracturing effectiveness by establishing a connected fracture model using AE data.The proposed approach links up AE events based on their spatio-temporal relationship and builds a fracture network called the connection model.Then,the characteristic of the fracture network is represented by the fractal dimension to reveal the complexity of fractures in the network.We extract the tensile-shear properties of each fracture based on the inversion of AE events'focal mechanism.Finally,based on the pre-known fracturing effectiveness of a fracture network,we compare the connection model of AE events in several triaxial hydraulic experiments.Our findings indicate that a comprehensive evaluation of hydraulic fracturing effectiveness can be achieved by considering both the connectivity of AE locations and the tensile-shear properties of AE events.This work aims to provide a more rational method for characterizing rock fracture networks and evaluating rock fracturing effects using AE data.
基金supported by the National Natural Science Foundation of China(with Grant Nos.12432003 and 12032001)the National Science and Technology Major Project(Grant No.J2022-V-0003-0029).
文摘Natural biomaterials with staggered structures exhibit remarkable mechanical properties owing to their unique microstructure.The microstructural arrangement can induce size-dependent and viscoelastic responses within the material.This study proposes a strain gradient viscoelastic shear-lag model to elucidate the intricate interplay between the strain gradient and viscoelastic effect in staggered shells.Our model clarifies the role of both effects,as experimentally observed,in governing the mechanical properties of these biomaterials.A detailed characterization of the size-dependent responses is conducted through the utilization of a microstructural characterization parameter alongside viscoelastic constitutive models.Then,the effective modulus of the staggered shell is defined and its formula is derived through the Laplace transform.Compared to classical models and even the strain gradient elastic model,the strain gradient viscoelastic model offers calculated moduli that are more consistent with experimental data.Moreover,the strengthening-softening effect of staggered structures is predicted using the strain gradient viscoelastic model and critical energy principle.This study contributes significantly to our understanding of the mechanical behavior of structural materials.Additionally,it provides insights for the design of advanced bionic materials with tailored properties.
基金supports by the National Key Research and Development Program of China(2021YFA1501204)the project of SINOPEC RIPP Co.Ltd(PR20230230).
文摘Autocatalysis from the by-product metal sulfides plays a critical role in the residual oil hydrotreating(RHT)process.However,it has not been considered to build the catalyst deactivation models,which probably is one important reason that the widely used S-type deactivation models are inaccurate in predicting some RHT processes'deactivation profiles.A three-stage catalyst deactivation model was first developed to fill this gap based on the mechanism inferred from the experimental and literature data.This model accounts for active site formation from by-product metal sulfides,deactivation due to active site coverage by coke formation and metal deposition,active site poisoning by highly-adsorbed species,active phase sintering,and diffusion resistance from the pore blockage at the same time,resulting in a function of dimensionless metals-on-catalyst.Then,the effectiveness of the proposed model was evaluated using the industrial data of an RHT unit and the experimental data from the literature,either in combination with reaction kinetics or independently.Results showed that RHT processes with clear autocatalytic effects may display different types of deactivation profiles from the traditional"S"shape.However,the proposed model was able to accurately track the entire deactivation curve of the RHT process and well predict the product properties.This approach yields valuable insights into the intricate autocatalytic effect that remarkably contributes to the performance modification of RHT catalysts.It is highly recommended that further research should be conducted on this topic,as it shows great potential to significantly advance catalyst and process development.
