BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well...BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well defined.AIM To assess the effect of prior LLD on rates of falls,implant-related complications,stay length,readmissions,and implant survival following THA.METHODS A retrospective review of a nationwide insurance database was conducted from 2010 to 2021.All cases of THA and those with a prior diagnosis of LLD were identified.THA patients with LLD were matched to control patients 1:5 based on demographic and comorbidity profiles.Two-year fall rates and implant complications,lengths of stay,90-day readmissions,and time to revision were compared between cohorts.RESULTS A total of 2038 patients with LLD were matched to 10165 control patients.The LLD group showed significantly greater rates of falls[odds ratio(OR)=1.58;95%confidence interval(95%CI):1.24-2.01],dislocation(OR=2.61;95%CI:2.10-3.24),mechanical loosening(OR=4.58;95%CI:3.28-6.29),and periprosthetic fracture(OR=2.70;95%CI:1.96-3.72)compared to the control group(all P<0.001).Mean length of stay(LOS)was also significantly higher in the LLD group(3.1 days vs 2.8 days,P=0.034).No significant difference in 90-day readmission rates(7.75%vs 7.02%,P=0.244)was observed between the groups(P=0.244).Time to revision was significantly less in the LLD group(225 days vs 544 days,P<0.001).CONCLUSION LLD in patients having THA is related with significantly higher fall risk,rates of implant-related complications,LOS,and quicker time to revision.Identifying patients with LLD before their THA may help in identifying risks,better patient counselling,and more effective preoperative planning.However,the study have important limitations:Its design lacks information on the degree and cause of LLD,the time between diagnosis and surgery,and which leg with the discrepancy underwent the operation.Future well-designed studies should confirm the findings of this study.展开更多
Non-tuberculous mycobacterial(NTM)pulmonary disease and pulmonary tuberculosis(TB)are mycobacterium-associated lung disorders that share overlapping clinical and radiological features,yet diverge significantly in path...Non-tuberculous mycobacterial(NTM)pulmonary disease and pulmonary tuberculosis(TB)are mycobacterium-associated lung disorders that share overlapping clinical and radiological features,yet diverge significantly in pathogenic mechanisms,therapeutic regimens,and long-term prognoses.Traditional east Medicine(TCM)constitution theory,a foundational framework for personalized healthcare,exerts a pivotal influence on disease susceptibility,pathological progression,and clinical outcomes.This review synthesizes state-of-the-art clinical evidence to systematically dissect key discrepancies in TCM constitution distribution between the two conditions,focusing on three core dimensions:distinctive patterns of constitution type distribution,the interplay between constitution and clinical variables,and the clinical relevance of these constitutional differences.Its primary goal is to deliver rigorous theoretical support and actionable guidance for TCM-based differential diagnosis,syndrome-specific interventions,and preventive healthcare strategies for both diseases.展开更多
This paper proposes a fingerprint matching method integrating transfer learning and online learning to tackle the challenges of environmental adaptability and dynamic interference resistance in photovoltaic(PV)array D...This paper proposes a fingerprint matching method integrating transfer learning and online learning to tackle the challenges of environmental adaptability and dynamic interference resistance in photovoltaic(PV)array DC arc fault location methods based on electromagnetic radiation(EMR)signals.Initially,a comprehensive analysis of the time–frequency characteristics of series arc EMR signals is carried out to pinpoint effective data sources that reflect fault features.Subsequently,a multi-kernel domain-adversarial neural network(MKDANN)is introduced to extract domain-invariant features,and a feature extractor designed specifically for fingerprint matching is devised.To reduce inter-domain distribution differences,a multi-kernel maximum mean discrepancy(MK-MMD)is integrated into the adaptation layer.Moreover,to deal with dynamic environmental changes in real-world situations,the support-class passive aggressive(SPA)algorithm is utilized to adjust model parameters in real time.Finally,MKDANN and SPA technologies are smoothly combined to build a fully operational fault location model.Experimental results indicate that the proposed method attains an overall fault location accuracy of at least 95%,showing strong adaptability to environmental changes and robust interference resistance while maintaining excellent online learning capabilities during model migration.展开更多
Understanding the complex mechanisms underlying agricultural space urbanization is essential for sustainable land management.This study identified the spatiotemporal characteristics of the agricultural space urbanizat...Understanding the complex mechanisms underlying agricultural space urbanization is essential for sustainable land management.This study identified the spatiotemporal characteristics of the agricultural space urbanization from 2000 to 2020 in China’s Yangtze River Economic Belt(YREB)using a kilometer-grid-based approach.By employing the partial least squares structural equation modeling method,the intricate drivers of agricultural space urbanization were investigated.The results revealed that from 2000 to 2020,agricultural space urbanization in the YREB covered an area of 28,198 km^(2),accounting for 84.5%of the total increase in urban space.The partial least squares structural equation modeling analysis revealed regional variations in agricultural space urbanization dynamics.In the western YREB,where urbanization is in its initial stage,natural conditions play a weak and indirect role,whereas policy incentives and socioeconomic growth are equally significant in driving agricultural space urbanization.In the eastern YREB,where urbanization is more saturated,the agricultural space urbanization is less constrained by natural factors,showing a high synergy with socioeconomic development.Conversely,in the central Yangtze River Economic Belt,policy influences surpass socioeconomic factors,whereas unfavorable natural conditions and agricultural development act as key drivers of agricultural space urbanization.This study suggests that enhancing agricultural space urbanization quality requires strengthening region-specific policies,providing targeted support for remote areas,rebalancing policy orientation in rapidly urbanizing regions,and establishing a comprehensive evaluation system to ensure policy rationality.展开更多
The wear of metal cutting tools will progressively rise as the cutting time goes on. Wearing heavily on the toolwill generate significant noise and vibration, negatively impacting the accuracy of the forming and the s...The wear of metal cutting tools will progressively rise as the cutting time goes on. Wearing heavily on the toolwill generate significant noise and vibration, negatively impacting the accuracy of the forming and the surfaceintegrity of the workpiece. Hence, during the cutting process, it is imperative to continually monitor the tool wearstate andpromptly replace anyheavilyworn tools toguarantee thequality of the cutting.The conventional tool wearmonitoring models, which are based on machine learning, are specifically built for the intended cutting conditions.However, these models require retraining when the cutting conditions undergo any changes. This method has noapplication value if the cutting conditions frequently change. This manuscript proposes a method for monitoringtool wear basedonunsuperviseddeep transfer learning. Due to the similarity of the tool wear process under varyingworking conditions, a tool wear recognitionmodel that can adapt to both current and previous working conditionshas been developed by utilizing cutting monitoring data from history. To extract and classify cutting vibrationsignals, the unsupervised deep transfer learning network comprises a one-dimensional (1D) convolutional neuralnetwork (CNN) with a multi-layer perceptron (MLP). To achieve distribution alignment of deep features throughthe maximum mean discrepancy algorithm, a domain adaptive layer is embedded in the penultimate layer of thenetwork. A platformformonitoring tool wear during endmilling has been constructed. The proposedmethod wasverified through the execution of a full life test of end milling under multiple working conditions with a Cr12MoVsteel workpiece. Our experiments demonstrate that the transfer learning model maintains a classification accuracyof over 80%. In comparisonwith the most advanced tool wearmonitoring methods, the presentedmodel guaranteessuperior performance in the target domains.展开更多
In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult...In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult to anticipate the health condition of lithium battery as it begins to deteriorate.There are still few studies on health state prediction models for different types of batteries.In this paper,40 battery data from 5 public datasets are selected to carry out research,and a model architecture consisting of Denoising Autoencoder and Transformer is designed.One or two types of battery packs are identified as the source domain,and multiple types of battery packs are identified as the target domain.By employing Maximum Mean Discrepancy(MMD)on the Transformer architecture,the source and target domains were evaluated and found to converge as training continued.Finally,29 transfer learning combination tasks were constructed.Results show that the model built with two kinds of batteries as the target domain has the best prediction accuracy and excels in prediction and is versatile in its application.The experimental results also reveal that this study provides a promising tool for predicting Lithium-ion batteries’SOH and strives to build a generalized model of the Lithium-ion batteries’SOH indicators.展开更多
Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain parameters.This work proposes a new Generalized L...Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain parameters.This work proposes a new Generalized L2 Discrepancy based on a General Point(GL2D-GP)for generating samples and their corresponding weights.The proposed GL2D-GP is an extension of the existing discrepancy by introducing the non-same weights and a smaller box to measure probability errors.Minimizing the GL2D-GP can yield a weight optimization formula that generates a set of optimal non-identical weights for a given sample set.Through minimizing the GL2D-GP assigned to the set of optimal non-same weights,a new sample and weight generation method is developed.In the proposed method,the samples can be easily generated in terms of the generalized Halton formula with a series of optimal permutation vectors which are found by the intelligent evolutionary algorithm.Once the sample set is obtained,the optimal weights can be generated in terms of the weight optimization formula.Five numerical examples are presented to verify the high accuracy,efficiency,and strong robustness of the proposed sample generation method based on GL2D-GP.展开更多
In Unsupervised Domain Adaptation(UDA)for person re-identification(re-ID),the primary challenge is reducing the distribution discrepancy between the source and target domains.This can be achieved by implicitly or expl...In Unsupervised Domain Adaptation(UDA)for person re-identification(re-ID),the primary challenge is reducing the distribution discrepancy between the source and target domains.This can be achieved by implicitly or explicitly constructing an appropriate intermediate domain to enhance recognition capability on the target domain.Implicit construction is difficult due to the absence of intermediate state supervision,making smooth knowledge transfer from the source to the target domain a challenge.To explicitly construct the most suitable intermediate domain for the model to gradually adapt to the feature distribution changes from the source to the target domain,we propose the Minimal Transfer Cost Framework(MTCF).MTCF considers all scenarios of the intermediate domain during the transfer process,ensuring smoother and more efficient domain alignment.Our framework mainly includes threemodules:Intermediate Domain Generator(IDG),Cross-domain Feature Constraint Module(CFCM),and Residual Channel Space Module(RCSM).First,the IDG Module is introduced to generate all possible intermediate domains,ensuring a smooth transition of knowledge fromthe source to the target domain.To reduce the cross-domain feature distribution discrepancy,we propose the CFCM Module,which quantifies the difficulty of knowledge transfer and ensures the diversity of intermediate domain features and their semantic relevance,achieving alignment between the source and target domains by incorporating mutual information and maximum mean discrepancy.We also design the RCSM,which utilizes attention mechanism to enhance the model’s focus on personnel features in low-resolution images,improving the accuracy and efficiency of person re-ID.Our proposed method outperforms existing technologies in all common UDA re-ID tasks and improves the Mean Average Precision(mAP)by 2.3%in the Market to Duke task compared to the state-of-the-art(SOTA)methods.展开更多
Offshore carbon capture, utilization, and storage(OCCUS) is regarded as a crucial technology for mitigating greenhouse gas emissions.Quantitative monitoring maps of sealed carbon dioxide are necessary in a comprehensi...Offshore carbon capture, utilization, and storage(OCCUS) is regarded as a crucial technology for mitigating greenhouse gas emissions.Quantitative monitoring maps of sealed carbon dioxide are necessary in a comprehensive OCCUS project. A potential high-resolution method for the aforementioned purpose lies in the full-waveform inversion(FWI) of time-lapse seismic data. However, practical applications of FWI are severely restricted by the well-known cycle-skipping problem. A new time-lapse FWI method using cross-correlation-based dynamic time warping(CDTW) is proposed to detect changes in the subsurface property due to carbon dioxide(CO_(2)) injection and address the aforementioned issue. The proposed method, namely CDTW, which combines the advantages of cross-correlation and dynamic time warping, is employed in the automatic estimation of the discrepancy between the seismic signals simulated using the baseline/initial model and those acquired. The proposed FWI method can then back-project the estimated discrepancy to the subsurface space domain, thereby facilitating retrieval of the induced subsurface property change by taking the difference between the inverted baseline and monitor models. Numerical results on pairs of signals prove that CDTW can obtain reliable shifts under amplitude modulation and noise contamination conditions. The performance of CDTW substantially outperforms that of the conventional dynamic time warping method. The proposed time-lapse fullwaveform inversion(FWI) method is applied to the Frio-2 CO_(2) storage model. The baseline and monitor models are inverted from the corresponding time-lapse seismic data. The changes in velocity due to CO_(2) injection are reconstructed by the difference between the baseline and the monitor models.展开更多
BACKGROUND Simple bone cysts(SBC)are benign tumor-like bone lesions typically identified in children.While SBC may lead to growth disturbances or growth arrest,such cases are uncommon.The mechanisms behind these obser...BACKGROUND Simple bone cysts(SBC)are benign tumor-like bone lesions typically identified in children.While SBC may lead to growth disturbances or growth arrest,such cases are uncommon.The mechanisms behind these observations remain unclear.Additionally,research on the etiology of SBC remains inconclusive,and there has been no consensus on the appropriate timing and methodology for treatment.CASE SUMMARY Here,we present our experience in the successful surgical management of a 10-year-old girl with SBC,who presented with a pathological fracture complicated by malunion of the displaced fracture,varus deformity,and limb length discrepancy.We hypothesized two possible etiologies for the patient’s growth arrest and subsequent humerus varus deformity:(1)Direct disruption of the physis by fluid from the cyst itself;and(2)damage to the epiphysis due to repetitive pathological fractures associated with SBC.In addressing this case,surgical intervention was undertaken to correct the proximal humerus varus deformity.This approach offered the advantages of simultaneously correcting angular abnormalities,achieving mild limb lengthening,providing definitive SBC treatment,and reducing the overall treatment duration.CONCLUSION As per current literature,acute correction of acute angular deformity in proximal humeral SBC is not well comprehended.However,in this specific case,acute correction was considered an optimal solution.展开更多
BACKGROUND Tumor size impacts the technical difficulty and histological curability of colorectal endoscopic submucosal dissection(ESD);however,the preoperative evaluation of tumor size is often different from histolog...BACKGROUND Tumor size impacts the technical difficulty and histological curability of colorectal endoscopic submucosal dissection(ESD);however,the preoperative evaluation of tumor size is often different from histological assessment.Analyzing influential factors on failure to obtain an accurate tumor size evaluation could help prepare optimal conditions for safer and more reliable ESD.METHODS This was a retrospective study conducted at a single institution.A total of 377 lesions removed by colorectal ESD at our hospital between April 2018 and March 2022 were collected.We first assessed the difference in size with an absolute per-centage of the scaling discrepancy.Subsequently,we compared the clinicopatho-logical characteristics of the correct scaling group(>-33%and<33%)with that of the incorrect scaling group(<-33%or>33%),which was further subdivided into the underscaling group(-33%or less of the discrepancy)and overscaling group(33%or more of the discrepancy),respectively.As secondary outcome measures,parameters on size estimation were compared between the underscaling and correct scaling groups,as well as between the overscaling and correct scaling groups.Finally,multivariate analysis was performed in terms of the following relevant parameters on size estimation:Pathological size,location,and possible influential factors(P<0.1)in the univariate analysis.RESULTS The mean of absolute percentage in the scaling discordance was 21%,and 91 lesions were considered to be incorrectly estimated in size.The incorrect scaling was significantly remarkable in larger lesions(40 mm vs 28 mm;P<0.001)and less experience(P<0.001),and these two factors were influential on the underscaling(75 lesions;P<0.001).Conversely,compared with the correct scaling group,16 lesions in the overscaling group were significantly small(20 mm vs 28 mm;P<0.001),and the small lesion size was influential on the overscaling(P=0.002).CONCLUSION Lesions indicated for colorectal ESD tended to be underestimated in large tumors,but overestimated in small ones.This discrepancy appears worth understanding for optimal procedural preparation.展开更多
The term“zero report,”an essential component of public health surveillance systems,is used to denote the reporting of zero cases of a specified disease during a given period.Its Chinese translation,“零报告”,has of...The term“zero report,”an essential component of public health surveillance systems,is used to denote the reporting of zero cases of a specified disease during a given period.Its Chinese translation,“零报告”,has often been misinterpreted by the public as“no report”or“absence of report,”resulting in confusion and misinformation.This paper examines the linguistic and cultural factors contributing to this misinterpretation,exploring the semantic discrepancies between“zero”in English and“零”in Chinese.Using a mixed-methods approach that combines theoretical analysis and empirical survey data,the paper highlights the challenges of translating technical terminology across linguistic and cultural contexts.It also provides recommendations for improving the translation of“zero report”and other public health terms to ensure clear global communication.展开更多
The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.T...The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.The results indicate that most minor codons for these coronaviruses are preferentially used in the initial and terminal region.The minor codons preferentially used in the initial region are thought to have a negative effect on gene expression,which can be explained by the minor codon modulator hypothesis.It also indicates that the minor codons preferentially used in the terminal region may regulate the level of gene expression.The proposed results strongly imply that the minor codon modulator hypothesis can be applied to both some bacteria and some viruses.展开更多
Translation as a specific linguistic activity is not only a pure language information transference but also a cultural transformation. The limitation in equivalence of the translation between the source and target lan...Translation as a specific linguistic activity is not only a pure language information transference but also a cultural transformation. The limitation in equivalence of the translation between the source and target languages is almost caused by the discrepancies between two cultures, and how to convey the cultural meaning and realize intercultural communication is the crucial problem. Domestication and foreignization as two effective strategies in handling cultural discrepancies are discussed in this essay.展开更多
English language teaching and learning in China has achieved enormous prosperity in recent years.It is said that the number of people learning and speaking English in China possibly exceeds the total population of the...English language teaching and learning in China has achieved enormous prosperity in recent years.It is said that the number of people learning and speaking English in China possibly exceeds the total population of the United States and Britain combined.However,the development of English language education in China has experienced several diverse phases and problems and controversies kept emerging especially when a new teaching approach was introduced.Based on the current situation,this paper tries to provide a comprehensive and in-depth overview on English language education in China.This paper is generally divided into two parts.Part one outlines the development of English language education in China with regard to the place of English and the development of teaching approaches.Part two discusses the recent teaching approach promoted official,its progress as well as problems.The focus of the whole paper is on secondary-level education as this is the stage when most students study English.展开更多
As translating in most cases is considered a bicultural or even multicultural activity,cultural discrepancies and voids inevitably occur during the language decoding and encoding process of the translating.This is a h...As translating in most cases is considered a bicultural or even multicultural activity,cultural discrepancies and voids inevitably occur during the language decoding and encoding process of the translating.This is a heated issue that has existed for long,and translators frequently turn to two major approaches for a solutiondomestication and foreignization.However,no matter which approach a translator chooses,it is essential to make a comprehensive analysis of the cultural and influential factors that contained in the source language text,rather than simply checking through a dictionary or cyclopedia.Based on the types of culture classified by Professor Chen Hongweimaterial culture,institutional culture and mental culture,the following discussion will make an exemplification of the merits and choice between domestication and foreignization,concerning the relation between culture types and translating approaches.展开更多
The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey...The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey of the students and interviews with the classroom teachers. The research finds a mismatch between an advocacy of group work and the reality of its poor implementation. It has implications on English curriculum innovation and the advocacy of group work in ELT classrooms in China's Mainland.展开更多
When the number of runs is large, to search for uniform designs in the sense of low-discrepancy is an NP hard problem. The number of runs of most of the available uniform designs is small （≤50）. In this article, th...When the number of runs is large, to search for uniform designs in the sense of low-discrepancy is an NP hard problem. The number of runs of most of the available uniform designs is small （≤50）. In this article, the authors employ a kind of the so-called Hamming distance method to construct uniform designs with two- or three-level such that some resulting uniform designs have a large number of runs. Several infinite classes for the existence of uniform designs with the same Hamming distances between any distinct rows are also obtained simultaneously. Two measures of uniformity, the centered L2-discrepancy （CD, for short） and wrap-around L2-discrepancy （WD, for short）, are employed.展开更多
This article describes a case we experienced in which good postsurgical facial profiles were obtained for a patient with jaw deformities associated with facial asymmetry,by implementing surgical planning with SimPlant...This article describes a case we experienced in which good postsurgical facial profiles were obtained for a patient with jaw deformities associated with facial asymmetry,by implementing surgical planning with SimPlant OMS.Using this method,we conducted LF1 osteotomy,intraoral vertical ramus osteotomy（IVRO）,sagittal split ramus osteotomy（SSRO）,mandibular constriction and mandibular border genioplasty.Not only did we obtain a class I occlusal relationship,but the complicated surgery also improved the asymmetry of the frontal view,as well as of the profile view,of the patient.The virtual operation using three-dimensional computed tomography（3D-CT）could be especially useful for the treatment of patients with jaw deformities associated with facial asymmetry.展开更多
The location and geometry of large-scale asperity present at the foundation of concrete gravity dams and buttress dams affect the shear resistance of the concrete-rock interface.However,the parameters describing the f...The location and geometry of large-scale asperity present at the foundation of concrete gravity dams and buttress dams affect the shear resistance of the concrete-rock interface.However,the parameters describing the frictional resistance of the interface usually do not account for these asperities.This could result in an underestimate of the peak shear stre ngth,which leads to significantly conservative design for new dams or unnecessary stability enhancing measures for existing ones.The aim of this work was to investigate the effect of the location of first-order asperity on the peak shear strength of a concrete-rock interface under eccentric load and the model discrepancy associated with the commonly used rigid body methods for calculating the factor of safety(FS)against sliding.For this,a series of direct and eccentric shear tests under constant normal load(CNL)was carried out on concrete-rock samples.The peak shear strengths measured in the tests were compared in terms of asperity location and with the predicted values from analytical rigid body methods.The results showed that the large-scale asperity under eccentric load significantly affected the peak shear strength.Furthermore,unlike the conventional assumption of sliding or shear failure of an asperity in direct shear,under the effect of eccentric shear load,a tensile failure in the rock or in the concrete could occur,resulting in a lower shear strength compared with that of direct shear tests.These results could have important implications for assessment of the FS against sliding failure in the concrete-rock interface.展开更多
文摘BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well defined.AIM To assess the effect of prior LLD on rates of falls,implant-related complications,stay length,readmissions,and implant survival following THA.METHODS A retrospective review of a nationwide insurance database was conducted from 2010 to 2021.All cases of THA and those with a prior diagnosis of LLD were identified.THA patients with LLD were matched to control patients 1:5 based on demographic and comorbidity profiles.Two-year fall rates and implant complications,lengths of stay,90-day readmissions,and time to revision were compared between cohorts.RESULTS A total of 2038 patients with LLD were matched to 10165 control patients.The LLD group showed significantly greater rates of falls[odds ratio(OR)=1.58;95%confidence interval(95%CI):1.24-2.01],dislocation(OR=2.61;95%CI:2.10-3.24),mechanical loosening(OR=4.58;95%CI:3.28-6.29),and periprosthetic fracture(OR=2.70;95%CI:1.96-3.72)compared to the control group(all P<0.001).Mean length of stay(LOS)was also significantly higher in the LLD group(3.1 days vs 2.8 days,P=0.034).No significant difference in 90-day readmission rates(7.75%vs 7.02%,P=0.244)was observed between the groups(P=0.244).Time to revision was significantly less in the LLD group(225 days vs 544 days,P<0.001).CONCLUSION LLD in patients having THA is related with significantly higher fall risk,rates of implant-related complications,LOS,and quicker time to revision.Identifying patients with LLD before their THA may help in identifying risks,better patient counselling,and more effective preoperative planning.However,the study have important limitations:Its design lacks information on the degree and cause of LLD,the time between diagnosis and surgery,and which leg with the discrepancy underwent the operation.Future well-designed studies should confirm the findings of this study.
文摘Non-tuberculous mycobacterial(NTM)pulmonary disease and pulmonary tuberculosis(TB)are mycobacterium-associated lung disorders that share overlapping clinical and radiological features,yet diverge significantly in pathogenic mechanisms,therapeutic regimens,and long-term prognoses.Traditional east Medicine(TCM)constitution theory,a foundational framework for personalized healthcare,exerts a pivotal influence on disease susceptibility,pathological progression,and clinical outcomes.This review synthesizes state-of-the-art clinical evidence to systematically dissect key discrepancies in TCM constitution distribution between the two conditions,focusing on three core dimensions:distinctive patterns of constitution type distribution,the interplay between constitution and clinical variables,and the clinical relevance of these constitutional differences.Its primary goal is to deliver rigorous theoretical support and actionable guidance for TCM-based differential diagnosis,syndrome-specific interventions,and preventive healthcare strategies for both diseases.
基金financially supported in part by the Natural Science Foundation of Fujian,China,under Grant 2021J01633.
文摘This paper proposes a fingerprint matching method integrating transfer learning and online learning to tackle the challenges of environmental adaptability and dynamic interference resistance in photovoltaic(PV)array DC arc fault location methods based on electromagnetic radiation(EMR)signals.Initially,a comprehensive analysis of the time–frequency characteristics of series arc EMR signals is carried out to pinpoint effective data sources that reflect fault features.Subsequently,a multi-kernel domain-adversarial neural network(MKDANN)is introduced to extract domain-invariant features,and a feature extractor designed specifically for fingerprint matching is devised.To reduce inter-domain distribution differences,a multi-kernel maximum mean discrepancy(MK-MMD)is integrated into the adaptation layer.Moreover,to deal with dynamic environmental changes in real-world situations,the support-class passive aggressive(SPA)algorithm is utilized to adjust model parameters in real time.Finally,MKDANN and SPA technologies are smoothly combined to build a fully operational fault location model.Experimental results indicate that the proposed method attains an overall fault location accuracy of at least 95%,showing strong adaptability to environmental changes and robust interference resistance while maintaining excellent online learning capabilities during model migration.
基金Fellowship Program of the CPSF,No.GZC20231970National Natural Science Foundation of China,No.41871182。
文摘Understanding the complex mechanisms underlying agricultural space urbanization is essential for sustainable land management.This study identified the spatiotemporal characteristics of the agricultural space urbanization from 2000 to 2020 in China’s Yangtze River Economic Belt(YREB)using a kilometer-grid-based approach.By employing the partial least squares structural equation modeling method,the intricate drivers of agricultural space urbanization were investigated.The results revealed that from 2000 to 2020,agricultural space urbanization in the YREB covered an area of 28,198 km^(2),accounting for 84.5%of the total increase in urban space.The partial least squares structural equation modeling analysis revealed regional variations in agricultural space urbanization dynamics.In the western YREB,where urbanization is in its initial stage,natural conditions play a weak and indirect role,whereas policy incentives and socioeconomic growth are equally significant in driving agricultural space urbanization.In the eastern YREB,where urbanization is more saturated,the agricultural space urbanization is less constrained by natural factors,showing a high synergy with socioeconomic development.Conversely,in the central Yangtze River Economic Belt,policy influences surpass socioeconomic factors,whereas unfavorable natural conditions and agricultural development act as key drivers of agricultural space urbanization.This study suggests that enhancing agricultural space urbanization quality requires strengthening region-specific policies,providing targeted support for remote areas,rebalancing policy orientation in rapidly urbanizing regions,and establishing a comprehensive evaluation system to ensure policy rationality.
基金the National Key Research and Development Program of China(No.2020YFB1713500)the Natural Science Basic Research Program of Shaanxi(Grant No.2023JCYB289)+1 种基金the National Natural Science Foundation of China(Grant No.52175112)the Fundamental Research Funds for the Central Universities(Grant No.ZYTS23102).
文摘The wear of metal cutting tools will progressively rise as the cutting time goes on. Wearing heavily on the toolwill generate significant noise and vibration, negatively impacting the accuracy of the forming and the surfaceintegrity of the workpiece. Hence, during the cutting process, it is imperative to continually monitor the tool wearstate andpromptly replace anyheavilyworn tools toguarantee thequality of the cutting.The conventional tool wearmonitoring models, which are based on machine learning, are specifically built for the intended cutting conditions.However, these models require retraining when the cutting conditions undergo any changes. This method has noapplication value if the cutting conditions frequently change. This manuscript proposes a method for monitoringtool wear basedonunsuperviseddeep transfer learning. Due to the similarity of the tool wear process under varyingworking conditions, a tool wear recognitionmodel that can adapt to both current and previous working conditionshas been developed by utilizing cutting monitoring data from history. To extract and classify cutting vibrationsignals, the unsupervised deep transfer learning network comprises a one-dimensional (1D) convolutional neuralnetwork (CNN) with a multi-layer perceptron (MLP). To achieve distribution alignment of deep features throughthe maximum mean discrepancy algorithm, a domain adaptive layer is embedded in the penultimate layer of thenetwork. A platformformonitoring tool wear during endmilling has been constructed. The proposedmethod wasverified through the execution of a full life test of end milling under multiple working conditions with a Cr12MoVsteel workpiece. Our experiments demonstrate that the transfer learning model maintains a classification accuracyof over 80%. In comparisonwith the most advanced tool wearmonitoring methods, the presentedmodel guaranteessuperior performance in the target domains.
文摘In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult to anticipate the health condition of lithium battery as it begins to deteriorate.There are still few studies on health state prediction models for different types of batteries.In this paper,40 battery data from 5 public datasets are selected to carry out research,and a model architecture consisting of Denoising Autoencoder and Transformer is designed.One or two types of battery packs are identified as the source domain,and multiple types of battery packs are identified as the target domain.By employing Maximum Mean Discrepancy(MMD)on the Transformer architecture,the source and target domains were evaluated and found to converge as training continued.Finally,29 transfer learning combination tasks were constructed.Results show that the model built with two kinds of batteries as the target domain has the best prediction accuracy and excels in prediction and is versatile in its application.The experimental results also reveal that this study provides a promising tool for predicting Lithium-ion batteries’SOH and strives to build a generalized model of the Lithium-ion batteries’SOH indicators.
基金the support of the National Natural Science Foundation of China(Nos.12372190,12272077)the Fundamental Research Funds for the Central Universities,China(Nos.DUT20RC(5)009,DUT20GJ216).
文摘Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain parameters.This work proposes a new Generalized L2 Discrepancy based on a General Point(GL2D-GP)for generating samples and their corresponding weights.The proposed GL2D-GP is an extension of the existing discrepancy by introducing the non-same weights and a smaller box to measure probability errors.Minimizing the GL2D-GP can yield a weight optimization formula that generates a set of optimal non-identical weights for a given sample set.Through minimizing the GL2D-GP assigned to the set of optimal non-same weights,a new sample and weight generation method is developed.In the proposed method,the samples can be easily generated in terms of the generalized Halton formula with a series of optimal permutation vectors which are found by the intelligent evolutionary algorithm.Once the sample set is obtained,the optimal weights can be generated in terms of the weight optimization formula.Five numerical examples are presented to verify the high accuracy,efficiency,and strong robustness of the proposed sample generation method based on GL2D-GP.
文摘In Unsupervised Domain Adaptation(UDA)for person re-identification(re-ID),the primary challenge is reducing the distribution discrepancy between the source and target domains.This can be achieved by implicitly or explicitly constructing an appropriate intermediate domain to enhance recognition capability on the target domain.Implicit construction is difficult due to the absence of intermediate state supervision,making smooth knowledge transfer from the source to the target domain a challenge.To explicitly construct the most suitable intermediate domain for the model to gradually adapt to the feature distribution changes from the source to the target domain,we propose the Minimal Transfer Cost Framework(MTCF).MTCF considers all scenarios of the intermediate domain during the transfer process,ensuring smoother and more efficient domain alignment.Our framework mainly includes threemodules:Intermediate Domain Generator(IDG),Cross-domain Feature Constraint Module(CFCM),and Residual Channel Space Module(RCSM).First,the IDG Module is introduced to generate all possible intermediate domains,ensuring a smooth transition of knowledge fromthe source to the target domain.To reduce the cross-domain feature distribution discrepancy,we propose the CFCM Module,which quantifies the difficulty of knowledge transfer and ensures the diversity of intermediate domain features and their semantic relevance,achieving alignment between the source and target domains by incorporating mutual information and maximum mean discrepancy.We also design the RCSM,which utilizes attention mechanism to enhance the model’s focus on personnel features in low-resolution images,improving the accuracy and efficiency of person re-ID.Our proposed method outperforms existing technologies in all common UDA re-ID tasks and improves the Mean Average Precision(mAP)by 2.3%in the Market to Duke task compared to the state-of-the-art(SOTA)methods.
文摘Offshore carbon capture, utilization, and storage(OCCUS) is regarded as a crucial technology for mitigating greenhouse gas emissions.Quantitative monitoring maps of sealed carbon dioxide are necessary in a comprehensive OCCUS project. A potential high-resolution method for the aforementioned purpose lies in the full-waveform inversion(FWI) of time-lapse seismic data. However, practical applications of FWI are severely restricted by the well-known cycle-skipping problem. A new time-lapse FWI method using cross-correlation-based dynamic time warping(CDTW) is proposed to detect changes in the subsurface property due to carbon dioxide(CO_(2)) injection and address the aforementioned issue. The proposed method, namely CDTW, which combines the advantages of cross-correlation and dynamic time warping, is employed in the automatic estimation of the discrepancy between the seismic signals simulated using the baseline/initial model and those acquired. The proposed FWI method can then back-project the estimated discrepancy to the subsurface space domain, thereby facilitating retrieval of the induced subsurface property change by taking the difference between the inverted baseline and monitor models. Numerical results on pairs of signals prove that CDTW can obtain reliable shifts under amplitude modulation and noise contamination conditions. The performance of CDTW substantially outperforms that of the conventional dynamic time warping method. The proposed time-lapse fullwaveform inversion(FWI) method is applied to the Frio-2 CO_(2) storage model. The baseline and monitor models are inverted from the corresponding time-lapse seismic data. The changes in velocity due to CO_(2) injection are reconstructed by the difference between the baseline and the monitor models.
文摘BACKGROUND Simple bone cysts(SBC)are benign tumor-like bone lesions typically identified in children.While SBC may lead to growth disturbances or growth arrest,such cases are uncommon.The mechanisms behind these observations remain unclear.Additionally,research on the etiology of SBC remains inconclusive,and there has been no consensus on the appropriate timing and methodology for treatment.CASE SUMMARY Here,we present our experience in the successful surgical management of a 10-year-old girl with SBC,who presented with a pathological fracture complicated by malunion of the displaced fracture,varus deformity,and limb length discrepancy.We hypothesized two possible etiologies for the patient’s growth arrest and subsequent humerus varus deformity:(1)Direct disruption of the physis by fluid from the cyst itself;and(2)damage to the epiphysis due to repetitive pathological fractures associated with SBC.In addressing this case,surgical intervention was undertaken to correct the proximal humerus varus deformity.This approach offered the advantages of simultaneously correcting angular abnormalities,achieving mild limb lengthening,providing definitive SBC treatment,and reducing the overall treatment duration.CONCLUSION As per current literature,acute correction of acute angular deformity in proximal humeral SBC is not well comprehended.However,in this specific case,acute correction was considered an optimal solution.
基金The study was reviewed and approved by the Nippon Medical School,Graduate School of Medicine Institutional Review Board(Approval No.30-02-1077).
文摘BACKGROUND Tumor size impacts the technical difficulty and histological curability of colorectal endoscopic submucosal dissection(ESD);however,the preoperative evaluation of tumor size is often different from histological assessment.Analyzing influential factors on failure to obtain an accurate tumor size evaluation could help prepare optimal conditions for safer and more reliable ESD.METHODS This was a retrospective study conducted at a single institution.A total of 377 lesions removed by colorectal ESD at our hospital between April 2018 and March 2022 were collected.We first assessed the difference in size with an absolute per-centage of the scaling discrepancy.Subsequently,we compared the clinicopatho-logical characteristics of the correct scaling group(>-33%and<33%)with that of the incorrect scaling group(<-33%or>33%),which was further subdivided into the underscaling group(-33%or less of the discrepancy)and overscaling group(33%or more of the discrepancy),respectively.As secondary outcome measures,parameters on size estimation were compared between the underscaling and correct scaling groups,as well as between the overscaling and correct scaling groups.Finally,multivariate analysis was performed in terms of the following relevant parameters on size estimation:Pathological size,location,and possible influential factors(P<0.1)in the univariate analysis.RESULTS The mean of absolute percentage in the scaling discordance was 21%,and 91 lesions were considered to be incorrectly estimated in size.The incorrect scaling was significantly remarkable in larger lesions(40 mm vs 28 mm;P<0.001)and less experience(P<0.001),and these two factors were influential on the underscaling(75 lesions;P<0.001).Conversely,compared with the correct scaling group,16 lesions in the overscaling group were significantly small(20 mm vs 28 mm;P<0.001),and the small lesion size was influential on the overscaling(P=0.002).CONCLUSION Lesions indicated for colorectal ESD tended to be underestimated in large tumors,but overestimated in small ones.This discrepancy appears worth understanding for optimal procedural preparation.
基金supported by Chinese Academic Translation Project of the National Social Science Fund(Project Number:21WZZB001).
文摘The term“zero report,”an essential component of public health surveillance systems,is used to denote the reporting of zero cases of a specified disease during a given period.Its Chinese translation,“零报告”,has often been misinterpreted by the public as“no report”or“absence of report,”resulting in confusion and misinformation.This paper examines the linguistic and cultural factors contributing to this misinterpretation,exploring the semantic discrepancies between“zero”in English and“零”in Chinese.Using a mixed-methods approach that combines theoretical analysis and empirical survey data,the paper highlights the challenges of translating technical terminology across linguistic and cultural contexts.It also provides recommendations for improving the translation of“zero report”and other public health terms to ensure clear global communication.
文摘The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.The results indicate that most minor codons for these coronaviruses are preferentially used in the initial and terminal region.The minor codons preferentially used in the initial region are thought to have a negative effect on gene expression,which can be explained by the minor codon modulator hypothesis.It also indicates that the minor codons preferentially used in the terminal region may regulate the level of gene expression.The proposed results strongly imply that the minor codon modulator hypothesis can be applied to both some bacteria and some viruses.
文摘Translation as a specific linguistic activity is not only a pure language information transference but also a cultural transformation. The limitation in equivalence of the translation between the source and target languages is almost caused by the discrepancies between two cultures, and how to convey the cultural meaning and realize intercultural communication is the crucial problem. Domestication and foreignization as two effective strategies in handling cultural discrepancies are discussed in this essay.
文摘English language teaching and learning in China has achieved enormous prosperity in recent years.It is said that the number of people learning and speaking English in China possibly exceeds the total population of the United States and Britain combined.However,the development of English language education in China has experienced several diverse phases and problems and controversies kept emerging especially when a new teaching approach was introduced.Based on the current situation,this paper tries to provide a comprehensive and in-depth overview on English language education in China.This paper is generally divided into two parts.Part one outlines the development of English language education in China with regard to the place of English and the development of teaching approaches.Part two discusses the recent teaching approach promoted official,its progress as well as problems.The focus of the whole paper is on secondary-level education as this is the stage when most students study English.
文摘As translating in most cases is considered a bicultural or even multicultural activity,cultural discrepancies and voids inevitably occur during the language decoding and encoding process of the translating.This is a heated issue that has existed for long,and translators frequently turn to two major approaches for a solutiondomestication and foreignization.However,no matter which approach a translator chooses,it is essential to make a comprehensive analysis of the cultural and influential factors that contained in the source language text,rather than simply checking through a dictionary or cyclopedia.Based on the types of culture classified by Professor Chen Hongweimaterial culture,institutional culture and mental culture,the following discussion will make an exemplification of the merits and choice between domestication and foreignization,concerning the relation between culture types and translating approaches.
文摘The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey of the students and interviews with the classroom teachers. The research finds a mismatch between an advocacy of group work and the reality of its poor implementation. It has implications on English curriculum innovation and the advocacy of group work in ELT classrooms in China's Mainland.
基金This work was partially supported by the NNSF of China(10441001) the Project sponsored by SRF for ROCS (SEM) the NSF of Hubei Province. The second author's research was also partially supported by the Pre-studies Project of NBRP (2003CCA2400)
文摘When the number of runs is large, to search for uniform designs in the sense of low-discrepancy is an NP hard problem. The number of runs of most of the available uniform designs is small （≤50）. In this article, the authors employ a kind of the so-called Hamming distance method to construct uniform designs with two- or three-level such that some resulting uniform designs have a large number of runs. Several infinite classes for the existence of uniform designs with the same Hamming distances between any distinct rows are also obtained simultaneously. Two measures of uniformity, the centered L2-discrepancy （CD, for short） and wrap-around L2-discrepancy （WD, for short）, are employed.
文摘This article describes a case we experienced in which good postsurgical facial profiles were obtained for a patient with jaw deformities associated with facial asymmetry,by implementing surgical planning with SimPlant OMS.Using this method,we conducted LF1 osteotomy,intraoral vertical ramus osteotomy（IVRO）,sagittal split ramus osteotomy（SSRO）,mandibular constriction and mandibular border genioplasty.Not only did we obtain a class I occlusal relationship,but the complicated surgery also improved the asymmetry of the frontal view,as well as of the profile view,of the patient.The virtual operation using three-dimensional computed tomography（3D-CT）could be especially useful for the treatment of patients with jaw deformities associated with facial asymmetry.
基金funded by the Research Council of Norway(Grant No.244029)。
文摘The location and geometry of large-scale asperity present at the foundation of concrete gravity dams and buttress dams affect the shear resistance of the concrete-rock interface.However,the parameters describing the frictional resistance of the interface usually do not account for these asperities.This could result in an underestimate of the peak shear stre ngth,which leads to significantly conservative design for new dams or unnecessary stability enhancing measures for existing ones.The aim of this work was to investigate the effect of the location of first-order asperity on the peak shear strength of a concrete-rock interface under eccentric load and the model discrepancy associated with the commonly used rigid body methods for calculating the factor of safety(FS)against sliding.For this,a series of direct and eccentric shear tests under constant normal load(CNL)was carried out on concrete-rock samples.The peak shear strengths measured in the tests were compared in terms of asperity location and with the predicted values from analytical rigid body methods.The results showed that the large-scale asperity under eccentric load significantly affected the peak shear strength.Furthermore,unlike the conventional assumption of sliding or shear failure of an asperity in direct shear,under the effect of eccentric shear load,a tensile failure in the rock or in the concrete could occur,resulting in a lower shear strength compared with that of direct shear tests.These results could have important implications for assessment of the FS against sliding failure in the concrete-rock interface.
