Evaluation of hydromechanical shear behavior of unsaturated soils is still a challenging issue. The time and cost needed for conducting precise experimental investigation on shear behavior of unsaturated soils have en...Evaluation of hydromechanical shear behavior of unsaturated soils is still a challenging issue. The time and cost needed for conducting precise experimental investigation on shear behavior of unsaturated soils have encouraged several investigators to develop analytical, empirical, or semi-empirical models for predicting the shear behavior of unsaturated soils. However, most of the previously proposed models are for specimens subjected to the isotropic state of stress, without considering the effect of initial shear stress. In this study, a hydromechanical constitutive model is proposed for unsaturated collapsible soils during shearing, with consideration of the effect of the initial shear stress. The model implements an effective stress-based disturbed state concept (DSC) to predict the stress-strain behavior of the soil. Accordingly, material/state variables were defined for both the start of the shearing stage and the critical state of the soil. A series of laboratory tests was performed using a fully automated unsaturated triaxial device to verify the proposed model. The experimental program included 23 suction-controlled unsaturated triaxial shear tests on reconstituted specimens of Gorgan clayey loess wetted to different levels of suctions under both isotropic and anisotropic stress states. The results show excellent agreement between the prediction by the proposed model and the experimental results.展开更多
As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of ai...As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of aircraft structures. The assessment of electromagnetic SE for Slotted Composite Structures(SCSs) is particularly challenging due to their complex geometries and there remains a lack of suitable models for accurately predicting the SE performance of these intricate configurations. To address this issue, this paper introduces SCS-Net, a Deep Neural Network (DNN) method designed to accurately predict the SE of SCS. This method considers the impacts of various structural parameters, material properties and incident wave parameters on the SE of SCSs. In order to better model the SCS, an improved Nicolson-Ross-Weir (NRW) method is introduced in this paper to provide an equivalent flat structure for the SCS and to calculate the electromagnetic parameters of the equivalent structure. Additionally, the prediction of SE via DNNs is limited by insufficient test data, which hinders support for large-sample training. To address the issue of limited measured data, this paper develops a Measurement-Computation Fusion (MCF) dataset construction method. The predictions based on the simulation results show that the proposed method maintains an error of less than 0.07 dB within the 8–10 GHz frequency range. Furthermore, a new loss function based on the weighted L1-norm is established to improve the prediction accuracy for these parameters. Compared with traditional loss functions, the new loss function reduces the maximum prediction error for equivalent electromagnetic parameters by 47%. This method significantly improves the prediction accuracy of SCS-Net for measured data, with a maximum improvement of 23.88%. These findings demonstrate that the proposed method enables precise SE prediction and design for composite structures while reducing the number of test samples needed.展开更多
Predictions of fluid distribution,stress field,and natural fracture are essential for exploiting unconventional shale gas reservoirs.Given the high likelihood of tilted fractures in subsurface formations,this study fo...Predictions of fluid distribution,stress field,and natural fracture are essential for exploiting unconventional shale gas reservoirs.Given the high likelihood of tilted fractures in subsurface formations,this study focuses on simultaneous seismic inversion to estimate fluid bulk modulus,effective stress parameter,and fracture density in the tilted transversely isotropic(TTI)medium.In this article,a novel PP-wave reflection coefficient approximation equation is first derived based on the constructed TTI stiffness matrix incorporating fracture density,effective stress parameter,and fluid bulk modulus.The high accuracy of the proposed equation has been demonstrated using an anisotropic two-layer model.Furthermore,a stepwise seismic inversion strategy with the L_(P) quasi-norm sparsity constraint is implemented to obtain the anisotropic and isotropic parameters.Three synthetic model tests with varying signal-to-noise ratios(SNRs)confirm the method's feasibility and noise robustness.Ultimately,the proposed method is applied to a 3D fractured shale gas reservoir in the Sichuan Basin,China.The results have effectively characterized shale gas distribution,stress fields,and tilted natural fractures,with validation from geological structures,well logs,and microseismic events.These findings can provide valuable guidance for hydraulic fracturing development,enabling more reliable predictions of reservoir heterogeneity and completion quality.展开更多
Although generative conversational artificial intelligence(AI)can answer questions well and hold conversations as a person,the semantic ambiguity inherent in text-based communication poses challenges to effective use....Although generative conversational artificial intelligence(AI)can answer questions well and hold conversations as a person,the semantic ambiguity inherent in text-based communication poses challenges to effective use.Effective use reflects the users’utilization of generative conversational AI to achieve their goals,which has not been previously studied.Drawing on the media naturalness theory,we examined how generative conversational AI’s content and style naturalness affect effective use.A two-wave survey was conducted to collect data from 565 users of generative conversational AI.Two techniques were used in this study.Initially,partial least squares structural equation modeling(PLS-SEM)was applied to determine the variables that significantly affected the mechanisms(i.e.,cognitive effort and communication ambiguity)and effective use.Secondly,an artificial neural network model was used to evaluate the relative importance of the significant predictors of mechanisms and effective use identified from the PLS-SEM analysis.The results revealed that the naturalness of content and style differed in their effects on cognitive effort and communication ambiguity.Additionally,cognitive effort and communication ambiguity negatively affected effective use.This study advances the literature on effective use by uncovering the psychological mechanisms underlying effective use and their antecedents.In addition,this study offers insights into the design of generative conversational AI.展开更多
This study focused on investigating the effects of various factors on the mechanical properties of superconducting matrix composites reinforced with ferromagnetic particles and interface phases when exposed to externa...This study focused on investigating the effects of various factors on the mechanical properties of superconducting matrix composites reinforced with ferromagnetic particles and interface phases when exposed to external magnetic fields.A micromechanical model was created by simplifying the basic properties and composition of the interface,utilizing principles such as Eshelby’s equivalent inclusion theory and Hooke’s law,as well as applying uniform stress boundary conditions.Through the development of equations,the study predicted changes in effective mechanical properties,highlighting the significant influence of parameters like the interface phase,inclusions,and magnetic field on the effective elastic modulus and magnetostriction of the composite material.By shedding light on these relationships,the research offers valuable insights for the manufacture and application of ferromagnetic particle-reinforced superconducting matrix composites with interface phases,providing a foundation for future research in this area.展开更多
During nearly 200 years of development in the knowledge of Brownian motion,the Janus sphere,as a typical Brownian particle with special surface properties,has been widely studied in the past few decades.A standard Jan...During nearly 200 years of development in the knowledge of Brownian motion,the Janus sphere,as a typical Brownian particle with special surface properties,has been widely studied in the past few decades.A standard Janus sphere possesses two distinct surfaces.These two surfaces elicit different hydrodynamic interactions with ambient fluids or other interactions in response to environmental stimuli,such as chemical gradients,magnetic fields,and even light.The diffusion of Janus spheres,particularly when controlled by a remotely applied field,has inspired various applications,ranging from the design of micro-swimmers and novel procedures for probing the mechanical properties of suspensions to the fabrication of composites with enhanced performance.In this work,we report a systematic analysis of field-controlled diffusion of Janus spheres.Commencing with stochastic differential equations of motion at the microscale,we derive a coarse-grained Fokker-Planck equation at the macroscale,describing the evolution of the probability distribution function of the Janus sphere in terms of its position and orientation.Leveraging the concept of the hydrodynamic center,we derive,for the first time,explicit generalized Stokes-Einstein relations for long-time effective diffusivity,incorporating the effects of both the surface discontinuity of the Janus sphere and the external fields.The formulae enable predictions of the effective diffusivity as it varies with the slip length and characteristic angle of Janus spheres,and reveal the impact of an aligning potential field on the diffusion coefficients both parallel and perpendicular to the direction of the field.This work not only deepens the understanding of field-controlled diffusion of Janus particles,but also holds a meaningful impact on the future applications in microfluidics and related fields.展开更多
The future space-borne gravitational wave(GW)detectors would provide a promising probe for the new physics beyond the standard model that admits the first-order phase transitions.The predictions for the GW background ...The future space-borne gravitational wave(GW)detectors would provide a promising probe for the new physics beyond the standard model that admits the first-order phase transitions.The predictions for the GW background vary sensitively among different concrete particle physics models but also share a large degeneracy in the model buildings,which motivates an effective model description on the phase transition based on different patterns of the electroweak symmetry breaking(EWSB).In this paper,using the scalar N-plet model as a demonstration,we propose an effective classification for three different patterns of EWSB:(1)radiative symmetry breaking with classical scale invariance,(2)the Higgs mechanism in a generic scalar extension,and(3)higher-dimensional operators.We conclude that a strong first-order phase transition could be realized for(1)and(2)with a small quartic coupling and a small isospin of an additional N-plet field for the light scalar field model with and without the classical scale invariance,and(3)with a large mixing coupling between scalar fields and a large isospin of the N-plet field for the heavy scalar field model.展开更多
The Longfengshan structural belt lies in the southern Changling Depression.The Yingcheng Formation is the primary gas-bearing unit.The Yingcheng Formation has low permeability and contains deep,tight gas that is chall...The Longfengshan structural belt lies in the southern Changling Depression.The Yingcheng Formation is the primary gas-bearing unit.The Yingcheng Formation has low permeability and contains deep,tight gas that is challenging to extract.Industrial gas flow has been achieved from the B218 and B220 well blocks in the sandstone layer of the first member of Yingcheng Formation(Ying I),indicating the potential of this sandstone group for gas production.Although oil and gas are widely distributed in the Ying I sandstone layer,production capacity varies significantly across the formation.into six sublayers.Drilling,logging,and laboratory testing data were integrated to subdivide the Ying I sandstone layer into six sublayers.Core and well logging analyses indicate a braided river delta depositional environment.Data and seismic inversion identify the Ying I-5 sublayer as the primary exploration target.The effective reservoir in the eastern fan body,where porosity ranges from 5%to 13%and maximum effective thickness reaches 34 m.This study basis for optimizing well placement and estimating gas reserve parameters in the Ying I sandstone layer of the Longfengshan area.The findings can guide the development of other tight gas reservoirs.展开更多
AIM:To investigate the impact of preoperative anterior corneal topographic parameters on the morphology of the postoperative effective optical zone(EOZ)in patients undergoing keratorefractive lenticule extraction(KLEx...AIM:To investigate the impact of preoperative anterior corneal topographic parameters on the morphology of the postoperative effective optical zone(EOZ)in patients undergoing keratorefractive lenticule extraction(KLEx)and wavefront-guided LASIK(WG-LASIK).METHODS:This retrospective study included 310 eyes from patients who underwent either KLEx(via small incision lenticule extraction,171 eyes)or WG-LASIK(139 eyes).Patients were stratified into subgroups based on the median values of spherical equivalent(SE)and anterior corneal topographic parameters.Postoperative EOZ parameters were measured 1mo after surgery and compared across subgroups.Correlation analysis and multivariable linear regression analysis were performed to explore the associations between preoperative anterior corneal topographic parameters and EOZ parameters.RESULTS:A total of 310 eyes were included(KLEx:171 eyes from 88 patients;WG-LASIK:139 eyes from 82 patients).The mean age was 30.65±5.67y in the KLEx cohort and 29.06±5.94y in the WG-LASIK cohort.In the KLEx cohort,SE,preoperative mean keratometry(Km),steep keratometry(K2),and anterior corneal astigmatism(K2-K1)were positively correlated with the postoperative optical zone reduction ratio(RR=EOZ/planned optical zone×100%;all P<0.01).Multivariable regression identified SE[β=0.027,95%confidence interval(CI):0.022-0.032,P<0.001],Km(β=0.009,95%CI:0.002-0.016,P=0.014),and anterior corneal astigmatism(β=0.031,95%CI:0.013-0.049,P<0.001)as significant predictors of RR(R²=0.456,P<0.001).In the WG-LASIK cohort,SE was positively correlated with RR(P<0.01);K2 and anterior corneal astigmatism were positively correlated with both RR(P<0.05)and EOZ eccentricity(P<0.01).Multivariable regression showed SE(β=0.015,95%CI:0.007-0.023,P<0.001)and anterior corneal astigmatism(β=0.029,95%CI:0.012-0.047,P=0.001)were significant predictors of RR(R²=0.121,P<0.001).CONCLUSION:Preoperative anterior corneal topographic parameters,particularly anterior corneal astigmatism,significantly affect postoperative EOZ morphology in both KLEx and WG-LASIK.Additionally,Km is a predictor of EOZ reduction specifically in KLEx.展开更多
Re-entrant honeycombs are widely used in safeguard structures due to their geometric simplicity and excellent energy absorption capacities.However,traditional re-entrant honeycombs exhibit insufficient stiffness and s...Re-entrant honeycombs are widely used in safeguard structures due to their geometric simplicity and excellent energy absorption capacities.However,traditional re-entrant honeycombs exhibit insufficient stiffness and stability owing to the lack of internal support.This paper proposes a new hybrid honeycomb by integrating a chiral component inside the re-entrant honeycomb.Since Young's modulus is a key parameter to evaluate the energy absorption performance and stiffness,an analytical model is given to predict the effective Young's modulus of the proposed hybrid honeycomb.It is found that the optimal design scheme is to directly insert a circular ring inside the re-entrant honeycomb.The normalized specific energy absorption(SEA)of the hybrid honeycomb is 95%larger than that of the traditional re-entrant honeycomb.The normalized SEA first increases to a peak value and then decreases with the cell wall thickness.The optimal thickness of the cell wall for the maximum SEA is derived in terms of the geometric configuration of the unit cell.The normalized SEA first decreases to a valley value and then increases with the re-entrant angle.A longer horizontal cell wall results in a smaller normalized SEA.This paper provides a new design method for safeguard structures with high stiffness and energy absorption performance.展开更多
BACKGROUND Blonanserin,a novel antipsychotic,has demonstrated efficacy in treating both positive and negative symptoms.However,limited research exists on its dose-dependent effectiveness and safety in patients with an...BACKGROUND Blonanserin,a novel antipsychotic,has demonstrated efficacy in treating both positive and negative symptoms.However,limited research exists on its dose-dependent effectiveness and safety in patients with and without prominent nega-tive symptoms(PNS).AIM To evaluate the effectiveness and safety of blonanserin monotherapy for first-episode schizophrenia in real-world clinical settings and to explore the efficacy and safety of different doses of blonanserin for patients with PNS and without PNS.METHODS A 12-week,multicenter,prospective post-marketing surveillance was conducted.In this study,we included patients with first-episode schizophrenia who received blonanserin monotherapy.Patients were divided into those with PNS and without PNS,based on the Brief Psychiatric Rating Scale(BPRS)negative symptoms subscale scores.Additionally,patients were labeled as high-dose and low-dose was evaluated through the incidence of adverse drug reactions(ADRs).RESULTS A total of 653 patients were included in the analysis,with 613 completing the study.The BPRS total score decreased significantly from 47.94±16.31 at baseline to 26.88±9.47 at 12 weeks(P<0.001).A significant interaction of PNS×dose×time was observed for BPRS total scores(F=3.47,P=0.040)and negative symptom subscale scores(F=6.76,P=0.002).In the PNS group,the high-dose group showed greater reductions in BPRS total scores(P=0.001)and negative symptom subscale scores(P=0.003)than the low-dose group in week 12.In the without PNS group,no significant difference was observed between the high-dose and low-dose groups at any visit.Most adverse reactions were mild or moderate,with extrapyramidal symptoms(9.3%)being most common;1.5%of patients gained≥7%body weight at 12 weeks.CONCLUSION Blonanserin effectively alleviated the clinical symptoms of first-episode schizophrenia with an acceptable safety profile.High-dose blonanserin is particularly beneficial for patients with PNS in the acute phase of first-episode schizophrenia.However,due to the limitation of ADR reporting the real world,the ADR incidence observed in this study may be underestimated.展开更多
Africa can draw inspiration from China’s multi-pronged approach to fighting poverty.Without a doubt,China’s poverty alleviation is a success that has not been achieved by any country I can think of.There is so much ...Africa can draw inspiration from China’s multi-pronged approach to fighting poverty.Without a doubt,China’s poverty alleviation is a success that has not been achieved by any country I can think of.There is so much that Africa can learn from China in this regard.African nations can draw inspiration from the effectiveness of China’s governance in delivering results.展开更多
As the size of transistors shrinks and power density increases,thermal simulation has become an indispensable part of the device design procedure.However,existing works for advanced technology transistors use simplifi...As the size of transistors shrinks and power density increases,thermal simulation has become an indispensable part of the device design procedure.However,existing works for advanced technology transistors use simplified empirical models to calculate effective thermal conductivity in the simulations.In this work,we present a dataset of size-dependent effective thermal conductivity with electron and phonon properties extracted from ab initio computations.Absolute in-plane and cross-plane thermal conductivity data of eight semiconducting materials(Si,Ge,GaN,AlN,4H-SiC,GaAs,InAs,BAs)and four metallic materials(Al,W,TiN,Ti)with the characteristic length ranging from 5 nm to 50 nm have been provided.Besides the absolute value,normalized effective thermal conductivity is also given,in case it needs to be used with updated bulk thermal conductivity in the future.展开更多
We revisit the issue of whether the effective potential for the conformal factor of the metric,which is generated by quantized matter fields,possesses a non-vanishing vacuum expectation value(VEV)or not.We prove that ...We revisit the issue of whether the effective potential for the conformal factor of the metric,which is generated by quantized matter fields,possesses a non-vanishing vacuum expectation value(VEV)or not.We prove that the effective potential has a vanishing vacuum expectation value on the basis of a global GL(4)symmetry.We also account for why there seems to be two different effective potentials for the conformal factor in a theory,one of which gives rise to a vanishing VEV for the conformal factor,whereas the other has a non-vanishing VEV.展开更多
We consider matter-wave solitons in spin-orbit coupled Bose-Einstein condensates embedded in an optical lattice and study the dynamics of the soliton within the framework of Gross-Pitaevskii equations.We express spin ...We consider matter-wave solitons in spin-orbit coupled Bose-Einstein condensates embedded in an optical lattice and study the dynamics of the soliton within the framework of Gross-Pitaevskii equations.We express spin components of the soliton pair in terms of nonlinear Bloch equations and investigate the effective spin dynamics.It is seen that the effective magnetic field that appears in the Bloch equation is affected by optical lattices,and thus the optical lattice influences the precessional frequency of the spin components.We make use of numerical approaches to investigate the dynamical behavior of density profiles and center-of-mass of the soliton pair in the presence of the optical lattice.It is shown that the spin density is periodically varying due to flipping of spinors between the two states.The amplitude of spin-flipping oscillation increases with lattice strength.We find that the system can also exhibit interesting nonlinear behavior for chosen values of parameters.We present a fixed point analysis to study the effects of optical lattices on the nonlinear dynamics of the spin components.It is seen that the optical lattice can act as a control parameter to change the dynamical behavior of the spin components from periodic to chaotic.展开更多
Background:Transrectal(TR)and transperineal(TP)biopsies are commonly used methods for diagnosing prostate cancer.However,their comparative effectiveness in conjunction with machine learning(ML)techniques remains under...Background:Transrectal(TR)and transperineal(TP)biopsies are commonly used methods for diagnosing prostate cancer.However,their comparative effectiveness in conjunction with machine learning(ML)techniques remains underexplored.This study aimed to evaluate the predictive accuracy of ML algorithms in detecting prostate cancer using data derived from TR and TP biopsies.Methods:The clinical records of patients who underwent prostate biopsy at King Saud University Medical City and King Faisal Specialist Hospital and Research Centerin Riyadh,Saudi Arabia,between 2018 and 2025 were analyzed.Data were used to train and testMLmodels,including eXtreme Gradient Boosting(XGBoost),Decision Tree,Random Forest,and Extra Trees.Results:The two datasets are comparable.The models demonstrated exceptional performance,achieving accuracies of up to 96.49%and 95.56%on TP and TR biopsy datasets,respectively.The area under the curve(AUC)values were also high,reaching 0.9988 for TP and 0.9903 for TR biopsy predictions.Conclusion:These findings highlight the potential of MLto enhance the diagnostic accuracy of prostate cancer detection irrespective of the biopsy method.However,TP biopsy data showed marginally higher accuracy,possibly because of the lower risk of contamination.While ML holds great promise for transforming prostate cancer care,further research is needed to address limitations.Collaboration between clinicians,data scientists,and researchers is crucial to ensure the clinical relevance and interpretability of ML models.展开更多
In the vast field of medical education,systematic anatomy serves as a solid cornerstone,firmly supporting medical students in their journey towards clinical professional knowledge.It is not just a course but also a ke...In the vast field of medical education,systematic anatomy serves as a solid cornerstone,firmly supporting medical students in their journey towards clinical professional knowledge.It is not just a course but also a key to unlocking the mysteries of medicine.This course is as rich as a vast treasure trove of knowledge,covering the fine structures and functions of various human body systems.Each knowledge point is like a bright pearl in the treasure trove.It is the foundation of clinical professional courses.Many subsequent clinical courses,such as diagnostics and surgery,rely on the basic understanding provided by systematic anatomy.Its professional vocabulary is also an important source of medical field terminologies,acting as the root of medical language and constructing the entire edifice of medical communication.Although the vocabulary of this course is rich,it is not complex.It is like a set of orderly-arranged jigsaw puzzles.As long as the correct methods are mastered,it is easy to piece them together.However,in the current teaching environment,the traditional cramming-style teaching method is like an old-fashioned carriage,showing obvious disadvantages on the road of the times.The pre-study link is like a rehearsal for a wonderful performance,having a direct and crucial impact on students’listening efficiency in class.Nevertheless,such an important teaching link is often overlooked,like a precious treasure forgotten in the corner.High-quality pre-study,for lecturers,is like giving wings to classroom teaching,which can greatly improve the efficiency of classroom teaching and make the teaching process smoother and more efficient.For students,it is like a magnifying glass that can deepen their understanding of knowledge points and their impression of the text,making the knowledge more clearly engraved in their minds.This article will focus on exploring the methods to achieve effective pre-study for systematic anatomy,hoping to contribute to the development of medical education.展开更多
This research investigates the effectiveness of climate-related development aid in Indonesia’s climate mitigation.Specific objectives include assessing the contribution of official development assistance(ODA)to reduc...This research investigates the effectiveness of climate-related development aid in Indonesia’s climate mitigation.Specific objectives include assessing the contribution of official development assistance(ODA)to reducing CO_(2) emissions and evaluating the implementation of the Busan Principles of aid effectiveness to achieve Indonesia’s mitigation priorities and targets.We utilize a new primary dataset based on interviews with the most knowledgeable stakeholders of ODA on climate change mitigation.Additionally,we use secondary data from the annual Rio Marker and the Common Reporting Standard data of the Organization for Economic Co-operation and Development.The results show a significant correlation between climate-related development aid and CO_(2) emission reduction in Indonesia.Additionally,the implementation of the Busan Principles enhances aid management by fostering project ownership and increasing the involvement of civil society and private sector.The study has implications for devising an effective climate change mitigation strategy for Indonesia.It is suggested that the government of Indonesia exercise greater flexibility and dynamism in engaging with development partners.展开更多
With the evolution of society,education reform continues to progress,and increasing attention is being paid to the learning outcomes and overall academic quality of junior high school students.As a core subject at thi...With the evolution of society,education reform continues to progress,and increasing attention is being paid to the learning outcomes and overall academic quality of junior high school students.As a core subject at this stage,the effectiveness of Chinese language teaching directly influences students’overall academic performance.Therefore,enhancing the effectiveness of junior high school Chinese classroom teaching has become a key focus for educators.Against this backdrop,this paper explores the significance of building an effective classroom environment in junior high school Chinese teaching and provides an in-depth analysis of strategies to improve teaching effectiveness.The goal is to assist teachers in creating efficient classrooms,fostering students’interest in learning,enhancing their overall competence in Chinese,and ultimately improving teaching quality to contribute to the overall advancement of Chinese language education.展开更多
文摘Evaluation of hydromechanical shear behavior of unsaturated soils is still a challenging issue. The time and cost needed for conducting precise experimental investigation on shear behavior of unsaturated soils have encouraged several investigators to develop analytical, empirical, or semi-empirical models for predicting the shear behavior of unsaturated soils. However, most of the previously proposed models are for specimens subjected to the isotropic state of stress, without considering the effect of initial shear stress. In this study, a hydromechanical constitutive model is proposed for unsaturated collapsible soils during shearing, with consideration of the effect of the initial shear stress. The model implements an effective stress-based disturbed state concept (DSC) to predict the stress-strain behavior of the soil. Accordingly, material/state variables were defined for both the start of the shearing stage and the critical state of the soil. A series of laboratory tests was performed using a fully automated unsaturated triaxial device to verify the proposed model. The experimental program included 23 suction-controlled unsaturated triaxial shear tests on reconstituted specimens of Gorgan clayey loess wetted to different levels of suctions under both isotropic and anisotropic stress states. The results show excellent agreement between the prediction by the proposed model and the experimental results.
基金supported by the National Natural Science Foundation of China(Nos.62101020 and 62141405)the Special Scientific Research Project of Civil Aircraft,China(No.MJZ5-2N22).
文摘As the proportion of composite materials used in aircraft continues to increase, the electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in the electromagnetic safety design of aircraft structures. The assessment of electromagnetic SE for Slotted Composite Structures(SCSs) is particularly challenging due to their complex geometries and there remains a lack of suitable models for accurately predicting the SE performance of these intricate configurations. To address this issue, this paper introduces SCS-Net, a Deep Neural Network (DNN) method designed to accurately predict the SE of SCS. This method considers the impacts of various structural parameters, material properties and incident wave parameters on the SE of SCSs. In order to better model the SCS, an improved Nicolson-Ross-Weir (NRW) method is introduced in this paper to provide an equivalent flat structure for the SCS and to calculate the electromagnetic parameters of the equivalent structure. Additionally, the prediction of SE via DNNs is limited by insufficient test data, which hinders support for large-sample training. To address the issue of limited measured data, this paper develops a Measurement-Computation Fusion (MCF) dataset construction method. The predictions based on the simulation results show that the proposed method maintains an error of less than 0.07 dB within the 8–10 GHz frequency range. Furthermore, a new loss function based on the weighted L1-norm is established to improve the prediction accuracy for these parameters. Compared with traditional loss functions, the new loss function reduces the maximum prediction error for equivalent electromagnetic parameters by 47%. This method significantly improves the prediction accuracy of SCS-Net for measured data, with a maximum improvement of 23.88%. These findings demonstrate that the proposed method enables precise SE prediction and design for composite structures while reducing the number of test samples needed.
基金financially supported by the Natural Science Foundation of Sichuan Province(Grant Nos.2023NSFSC0767 and2024NSFSC0809)the China Postdoctoral Science Foundation(Grant No.2024MF750281)the Postdoctoral Fellowship Program of CPSF(Grant No.GZC20230326)。
文摘Predictions of fluid distribution,stress field,and natural fracture are essential for exploiting unconventional shale gas reservoirs.Given the high likelihood of tilted fractures in subsurface formations,this study focuses on simultaneous seismic inversion to estimate fluid bulk modulus,effective stress parameter,and fracture density in the tilted transversely isotropic(TTI)medium.In this article,a novel PP-wave reflection coefficient approximation equation is first derived based on the constructed TTI stiffness matrix incorporating fracture density,effective stress parameter,and fluid bulk modulus.The high accuracy of the proposed equation has been demonstrated using an anisotropic two-layer model.Furthermore,a stepwise seismic inversion strategy with the L_(P) quasi-norm sparsity constraint is implemented to obtain the anisotropic and isotropic parameters.Three synthetic model tests with varying signal-to-noise ratios(SNRs)confirm the method's feasibility and noise robustness.Ultimately,the proposed method is applied to a 3D fractured shale gas reservoir in the Sichuan Basin,China.The results have effectively characterized shale gas distribution,stress fields,and tilted natural fractures,with validation from geological structures,well logs,and microseismic events.These findings can provide valuable guidance for hydraulic fracturing development,enabling more reliable predictions of reservoir heterogeneity and completion quality.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant No.72171095)the National Social Science Foundation of China(Grant No.22VRC153)the Wuhan Textile University Fund(Grant Nos.2024289 and 2024380)。
文摘Although generative conversational artificial intelligence(AI)can answer questions well and hold conversations as a person,the semantic ambiguity inherent in text-based communication poses challenges to effective use.Effective use reflects the users’utilization of generative conversational AI to achieve their goals,which has not been previously studied.Drawing on the media naturalness theory,we examined how generative conversational AI’s content and style naturalness affect effective use.A two-wave survey was conducted to collect data from 565 users of generative conversational AI.Two techniques were used in this study.Initially,partial least squares structural equation modeling(PLS-SEM)was applied to determine the variables that significantly affected the mechanisms(i.e.,cognitive effort and communication ambiguity)and effective use.Secondly,an artificial neural network model was used to evaluate the relative importance of the significant predictors of mechanisms and effective use identified from the PLS-SEM analysis.The results revealed that the naturalness of content and style differed in their effects on cognitive effort and communication ambiguity.Additionally,cognitive effort and communication ambiguity negatively affected effective use.This study advances the literature on effective use by uncovering the psychological mechanisms underlying effective use and their antecedents.In addition,this study offers insights into the design of generative conversational AI.
基金supported by the National Natural Science Foundation of China(No.12262020).
文摘This study focused on investigating the effects of various factors on the mechanical properties of superconducting matrix composites reinforced with ferromagnetic particles and interface phases when exposed to external magnetic fields.A micromechanical model was created by simplifying the basic properties and composition of the interface,utilizing principles such as Eshelby’s equivalent inclusion theory and Hooke’s law,as well as applying uniform stress boundary conditions.Through the development of equations,the study predicted changes in effective mechanical properties,highlighting the significant influence of parameters like the interface phase,inclusions,and magnetic field on the effective elastic modulus and magnetostriction of the composite material.By shedding light on these relationships,the research offers valuable insights for the manufacture and application of ferromagnetic particle-reinforced superconducting matrix composites with interface phases,providing a foundation for future research in this area.
基金Project supported by the National Natural Science Foundation of China(Nos.12302079 and 11521202)the National Natural Science Foundation of U.S.A.(No.DMS-2306254)。
文摘During nearly 200 years of development in the knowledge of Brownian motion,the Janus sphere,as a typical Brownian particle with special surface properties,has been widely studied in the past few decades.A standard Janus sphere possesses two distinct surfaces.These two surfaces elicit different hydrodynamic interactions with ambient fluids or other interactions in response to environmental stimuli,such as chemical gradients,magnetic fields,and even light.The diffusion of Janus spheres,particularly when controlled by a remotely applied field,has inspired various applications,ranging from the design of micro-swimmers and novel procedures for probing the mechanical properties of suspensions to the fabrication of composites with enhanced performance.In this work,we report a systematic analysis of field-controlled diffusion of Janus spheres.Commencing with stochastic differential equations of motion at the microscale,we derive a coarse-grained Fokker-Planck equation at the macroscale,describing the evolution of the probability distribution function of the Janus sphere in terms of its position and orientation.Leveraging the concept of the hydrodynamic center,we derive,for the first time,explicit generalized Stokes-Einstein relations for long-time effective diffusivity,incorporating the effects of both the surface discontinuity of the Janus sphere and the external fields.The formulae enable predictions of the effective diffusivity as it varies with the slip length and characteristic angle of Janus spheres,and reveal the impact of an aligning potential field on the diffusion coefficients both parallel and perpendicular to the direction of the field.This work not only deepens the understanding of field-controlled diffusion of Janus particles,but also holds a meaningful impact on the future applications in microfluidics and related fields.
基金supported by the National Key Research and Development Program of China under Grant Nos.2021YFC2203004,2021YFA0718304,2020YFC2201501RGC is supported by the National Natural Science Foundation of China under Grants Nos.11947302,11991052,11690022,11821505 and 11851302+8 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(CAS)under Grant Nos.XDB23030100 and XDA15020701the Key Research Program of the CAS under Grant No.XDPB15the Key Research Program of Frontier Sciences of CAS.SJW is supported by the National Key Research and Development Program of China under Grant Nos.2021YFC2203004 and 2021YFA0718304the National Natural Science Foundation of China under Grant Nos.12422502 and 12105344the China Manned Space Project under Grant No.CMS-CSST-2021-B01JHY is supported by the National Science Foundation of China under Grant Nos.12022514,11875003 and 12047503the National Key Research and Development Program of China under Grant Nos.2020YFC2201501 and 2021YFA0718304the CAS Project for Young Scientists in Basic Research under Grant No.YSBR-006the Key Research Program of the CAS under Grant No.XDPB15.
文摘The future space-borne gravitational wave(GW)detectors would provide a promising probe for the new physics beyond the standard model that admits the first-order phase transitions.The predictions for the GW background vary sensitively among different concrete particle physics models but also share a large degeneracy in the model buildings,which motivates an effective model description on the phase transition based on different patterns of the electroweak symmetry breaking(EWSB).In this paper,using the scalar N-plet model as a demonstration,we propose an effective classification for three different patterns of EWSB:(1)radiative symmetry breaking with classical scale invariance,(2)the Higgs mechanism in a generic scalar extension,and(3)higher-dimensional operators.We conclude that a strong first-order phase transition could be realized for(1)and(2)with a small quartic coupling and a small isospin of an additional N-plet field for the light scalar field model with and without the classical scale invariance,and(3)with a large mixing coupling between scalar fields and a large isospin of the N-plet field for the heavy scalar field model.
基金Supported by the Key Scientific and Technological Projects of Sinopec(No.P25165).
文摘The Longfengshan structural belt lies in the southern Changling Depression.The Yingcheng Formation is the primary gas-bearing unit.The Yingcheng Formation has low permeability and contains deep,tight gas that is challenging to extract.Industrial gas flow has been achieved from the B218 and B220 well blocks in the sandstone layer of the first member of Yingcheng Formation(Ying I),indicating the potential of this sandstone group for gas production.Although oil and gas are widely distributed in the Ying I sandstone layer,production capacity varies significantly across the formation.into six sublayers.Drilling,logging,and laboratory testing data were integrated to subdivide the Ying I sandstone layer into six sublayers.Core and well logging analyses indicate a braided river delta depositional environment.Data and seismic inversion identify the Ying I-5 sublayer as the primary exploration target.The effective reservoir in the eastern fan body,where porosity ranges from 5%to 13%and maximum effective thickness reaches 34 m.This study basis for optimizing well placement and estimating gas reserve parameters in the Ying I sandstone layer of the Longfengshan area.The findings can guide the development of other tight gas reservoirs.
文摘AIM:To investigate the impact of preoperative anterior corneal topographic parameters on the morphology of the postoperative effective optical zone(EOZ)in patients undergoing keratorefractive lenticule extraction(KLEx)and wavefront-guided LASIK(WG-LASIK).METHODS:This retrospective study included 310 eyes from patients who underwent either KLEx(via small incision lenticule extraction,171 eyes)or WG-LASIK(139 eyes).Patients were stratified into subgroups based on the median values of spherical equivalent(SE)and anterior corneal topographic parameters.Postoperative EOZ parameters were measured 1mo after surgery and compared across subgroups.Correlation analysis and multivariable linear regression analysis were performed to explore the associations between preoperative anterior corneal topographic parameters and EOZ parameters.RESULTS:A total of 310 eyes were included(KLEx:171 eyes from 88 patients;WG-LASIK:139 eyes from 82 patients).The mean age was 30.65±5.67y in the KLEx cohort and 29.06±5.94y in the WG-LASIK cohort.In the KLEx cohort,SE,preoperative mean keratometry(Km),steep keratometry(K2),and anterior corneal astigmatism(K2-K1)were positively correlated with the postoperative optical zone reduction ratio(RR=EOZ/planned optical zone×100%;all P<0.01).Multivariable regression identified SE[β=0.027,95%confidence interval(CI):0.022-0.032,P<0.001],Km(β=0.009,95%CI:0.002-0.016,P=0.014),and anterior corneal astigmatism(β=0.031,95%CI:0.013-0.049,P<0.001)as significant predictors of RR(R²=0.456,P<0.001).In the WG-LASIK cohort,SE was positively correlated with RR(P<0.01);K2 and anterior corneal astigmatism were positively correlated with both RR(P<0.05)and EOZ eccentricity(P<0.01).Multivariable regression showed SE(β=0.015,95%CI:0.007-0.023,P<0.001)and anterior corneal astigmatism(β=0.029,95%CI:0.012-0.047,P=0.001)were significant predictors of RR(R²=0.121,P<0.001).CONCLUSION:Preoperative anterior corneal topographic parameters,particularly anterior corneal astigmatism,significantly affect postoperative EOZ morphology in both KLEx and WG-LASIK.Additionally,Km is a predictor of EOZ reduction specifically in KLEx.
基金Project supported by Guangdong Basic and Applied Basic Research Foundation(Nos.2022A1515240072,2023A1515240053,2022B1515020099,and 2023A1515012641)Shenzhen Science and Technology Program(No.JCYJ20220818102409020)the National Natural Science Foundation of China(Nos.12102104 and 12002180)。
文摘Re-entrant honeycombs are widely used in safeguard structures due to their geometric simplicity and excellent energy absorption capacities.However,traditional re-entrant honeycombs exhibit insufficient stiffness and stability owing to the lack of internal support.This paper proposes a new hybrid honeycomb by integrating a chiral component inside the re-entrant honeycomb.Since Young's modulus is a key parameter to evaluate the energy absorption performance and stiffness,an analytical model is given to predict the effective Young's modulus of the proposed hybrid honeycomb.It is found that the optimal design scheme is to directly insert a circular ring inside the re-entrant honeycomb.The normalized specific energy absorption(SEA)of the hybrid honeycomb is 95%larger than that of the traditional re-entrant honeycomb.The normalized SEA first increases to a peak value and then decreases with the cell wall thickness.The optimal thickness of the cell wall for the maximum SEA is derived in terms of the geometric configuration of the unit cell.The normalized SEA first decreases to a valley value and then increases with the re-entrant angle.A longer horizontal cell wall results in a smaller normalized SEA.This paper provides a new design method for safeguard structures with high stiffness and energy absorption performance.
文摘BACKGROUND Blonanserin,a novel antipsychotic,has demonstrated efficacy in treating both positive and negative symptoms.However,limited research exists on its dose-dependent effectiveness and safety in patients with and without prominent nega-tive symptoms(PNS).AIM To evaluate the effectiveness and safety of blonanserin monotherapy for first-episode schizophrenia in real-world clinical settings and to explore the efficacy and safety of different doses of blonanserin for patients with PNS and without PNS.METHODS A 12-week,multicenter,prospective post-marketing surveillance was conducted.In this study,we included patients with first-episode schizophrenia who received blonanserin monotherapy.Patients were divided into those with PNS and without PNS,based on the Brief Psychiatric Rating Scale(BPRS)negative symptoms subscale scores.Additionally,patients were labeled as high-dose and low-dose was evaluated through the incidence of adverse drug reactions(ADRs).RESULTS A total of 653 patients were included in the analysis,with 613 completing the study.The BPRS total score decreased significantly from 47.94±16.31 at baseline to 26.88±9.47 at 12 weeks(P<0.001).A significant interaction of PNS×dose×time was observed for BPRS total scores(F=3.47,P=0.040)and negative symptom subscale scores(F=6.76,P=0.002).In the PNS group,the high-dose group showed greater reductions in BPRS total scores(P=0.001)and negative symptom subscale scores(P=0.003)than the low-dose group in week 12.In the without PNS group,no significant difference was observed between the high-dose and low-dose groups at any visit.Most adverse reactions were mild or moderate,with extrapyramidal symptoms(9.3%)being most common;1.5%of patients gained≥7%body weight at 12 weeks.CONCLUSION Blonanserin effectively alleviated the clinical symptoms of first-episode schizophrenia with an acceptable safety profile.High-dose blonanserin is particularly beneficial for patients with PNS in the acute phase of first-episode schizophrenia.However,due to the limitation of ADR reporting the real world,the ADR incidence observed in this study may be underestimated.
文摘Africa can draw inspiration from China’s multi-pronged approach to fighting poverty.Without a doubt,China’s poverty alleviation is a success that has not been achieved by any country I can think of.There is so much that Africa can learn from China in this regard.African nations can draw inspiration from the effectiveness of China’s governance in delivering results.
基金Project supported by the National Key R&D Project from Ministry of Science and Technology of China(Grant No.2022YFA1203100)the National Natural Science Foundation of China(Grant No.52122606)the funding from Shanghai Polytechnic University.
文摘As the size of transistors shrinks and power density increases,thermal simulation has become an indispensable part of the device design procedure.However,existing works for advanced technology transistors use simplified empirical models to calculate effective thermal conductivity in the simulations.In this work,we present a dataset of size-dependent effective thermal conductivity with electron and phonon properties extracted from ab initio computations.Absolute in-plane and cross-plane thermal conductivity data of eight semiconducting materials(Si,Ge,GaN,AlN,4H-SiC,GaAs,InAs,BAs)and four metallic materials(Al,W,TiN,Ti)with the characteristic length ranging from 5 nm to 50 nm have been provided.Besides the absolute value,normalized effective thermal conductivity is also given,in case it needs to be used with updated bulk thermal conductivity in the future.
基金supported in part by the JSPS Kakenhi under Grant No.21K03539。
文摘We revisit the issue of whether the effective potential for the conformal factor of the metric,which is generated by quantized matter fields,possesses a non-vanishing vacuum expectation value(VEV)or not.We prove that the effective potential has a vanishing vacuum expectation value on the basis of a global GL(4)symmetry.We also account for why there seems to be two different effective potentials for the conformal factor in a theory,one of which gives rise to a vanishing VEV for the conformal factor,whereas the other has a non-vanishing VEV.
文摘We consider matter-wave solitons in spin-orbit coupled Bose-Einstein condensates embedded in an optical lattice and study the dynamics of the soliton within the framework of Gross-Pitaevskii equations.We express spin components of the soliton pair in terms of nonlinear Bloch equations and investigate the effective spin dynamics.It is seen that the effective magnetic field that appears in the Bloch equation is affected by optical lattices,and thus the optical lattice influences the precessional frequency of the spin components.We make use of numerical approaches to investigate the dynamical behavior of density profiles and center-of-mass of the soliton pair in the presence of the optical lattice.It is shown that the spin density is periodically varying due to flipping of spinors between the two states.The amplitude of spin-flipping oscillation increases with lattice strength.We find that the system can also exhibit interesting nonlinear behavior for chosen values of parameters.We present a fixed point analysis to study the effects of optical lattices on the nonlinear dynamics of the spin components.It is seen that the optical lattice can act as a control parameter to change the dynamical behavior of the spin components from periodic to chaotic.
文摘Background:Transrectal(TR)and transperineal(TP)biopsies are commonly used methods for diagnosing prostate cancer.However,their comparative effectiveness in conjunction with machine learning(ML)techniques remains underexplored.This study aimed to evaluate the predictive accuracy of ML algorithms in detecting prostate cancer using data derived from TR and TP biopsies.Methods:The clinical records of patients who underwent prostate biopsy at King Saud University Medical City and King Faisal Specialist Hospital and Research Centerin Riyadh,Saudi Arabia,between 2018 and 2025 were analyzed.Data were used to train and testMLmodels,including eXtreme Gradient Boosting(XGBoost),Decision Tree,Random Forest,and Extra Trees.Results:The two datasets are comparable.The models demonstrated exceptional performance,achieving accuracies of up to 96.49%and 95.56%on TP and TR biopsy datasets,respectively.The area under the curve(AUC)values were also high,reaching 0.9988 for TP and 0.9903 for TR biopsy predictions.Conclusion:These findings highlight the potential of MLto enhance the diagnostic accuracy of prostate cancer detection irrespective of the biopsy method.However,TP biopsy data showed marginally higher accuracy,possibly because of the lower risk of contamination.While ML holds great promise for transforming prostate cancer care,further research is needed to address limitations.Collaboration between clinicians,data scientists,and researchers is crucial to ensure the clinical relevance and interpretability of ML models.
文摘In the vast field of medical education,systematic anatomy serves as a solid cornerstone,firmly supporting medical students in their journey towards clinical professional knowledge.It is not just a course but also a key to unlocking the mysteries of medicine.This course is as rich as a vast treasure trove of knowledge,covering the fine structures and functions of various human body systems.Each knowledge point is like a bright pearl in the treasure trove.It is the foundation of clinical professional courses.Many subsequent clinical courses,such as diagnostics and surgery,rely on the basic understanding provided by systematic anatomy.Its professional vocabulary is also an important source of medical field terminologies,acting as the root of medical language and constructing the entire edifice of medical communication.Although the vocabulary of this course is rich,it is not complex.It is like a set of orderly-arranged jigsaw puzzles.As long as the correct methods are mastered,it is easy to piece them together.However,in the current teaching environment,the traditional cramming-style teaching method is like an old-fashioned carriage,showing obvious disadvantages on the road of the times.The pre-study link is like a rehearsal for a wonderful performance,having a direct and crucial impact on students’listening efficiency in class.Nevertheless,such an important teaching link is often overlooked,like a precious treasure forgotten in the corner.High-quality pre-study,for lecturers,is like giving wings to classroom teaching,which can greatly improve the efficiency of classroom teaching and make the teaching process smoother and more efficient.For students,it is like a magnifying glass that can deepen their understanding of knowledge points and their impression of the text,making the knowledge more clearly engraved in their minds.This article will focus on exploring the methods to achieve effective pre-study for systematic anatomy,hoping to contribute to the development of medical education.
文摘This research investigates the effectiveness of climate-related development aid in Indonesia’s climate mitigation.Specific objectives include assessing the contribution of official development assistance(ODA)to reducing CO_(2) emissions and evaluating the implementation of the Busan Principles of aid effectiveness to achieve Indonesia’s mitigation priorities and targets.We utilize a new primary dataset based on interviews with the most knowledgeable stakeholders of ODA on climate change mitigation.Additionally,we use secondary data from the annual Rio Marker and the Common Reporting Standard data of the Organization for Economic Co-operation and Development.The results show a significant correlation between climate-related development aid and CO_(2) emission reduction in Indonesia.Additionally,the implementation of the Busan Principles enhances aid management by fostering project ownership and increasing the involvement of civil society and private sector.The study has implications for devising an effective climate change mitigation strategy for Indonesia.It is suggested that the government of Indonesia exercise greater flexibility and dynamism in engaging with development partners.
文摘With the evolution of society,education reform continues to progress,and increasing attention is being paid to the learning outcomes and overall academic quality of junior high school students.As a core subject at this stage,the effectiveness of Chinese language teaching directly influences students’overall academic performance.Therefore,enhancing the effectiveness of junior high school Chinese classroom teaching has become a key focus for educators.Against this backdrop,this paper explores the significance of building an effective classroom environment in junior high school Chinese teaching and provides an in-depth analysis of strategies to improve teaching effectiveness.The goal is to assist teachers in creating efficient classrooms,fostering students’interest in learning,enhancing their overall competence in Chinese,and ultimately improving teaching quality to contribute to the overall advancement of Chinese language education.
