Objective:To investigate the application of experience-based and Magnetic Resonance Imaging(MRI)radiomics in differentiating benign and malignant pulmonary nodules and masses.Methods:Sixty patients with pulmonary nodu...Objective:To investigate the application of experience-based and Magnetic Resonance Imaging(MRI)radiomics in differentiating benign and malignant pulmonary nodules and masses.Methods:Sixty patients with pulmonary nodules or masses admitted from April 2024 to April 2025 were selected as study subjects.Surgical pathology was used as the gold standard to explore the differential diagnostic value of experience-based and MRI radiomics.Results:Twenty one MRI radiomic features were selected for screening,with 14 features removed and 7 remaining for normality testing.Using surgical pathology as the gold standard,among the 60 patients,36 were benign and 24 were malignant,with detection rates of 60.00%and 40.00%,respectively.The detection rates of lobulation,vascular convergence sign,and GGO components in benign pulmonary nodules/masses were lower than those in malignant ones(P<0.05).The radiomics formula was Radscore=Intercept+Weight(Feature)×Feature,with the calculated formula being Radscore=0.16-0.32×Sphericity+0.11×Mass.The AUC of the UTE Rad-score model was 0.672,which was lower than the AUC of the UTE nomogram(0.789)and the combined model(0.832)(P<0.05).Conclusion:Experience-based and MRI radiomics can play a significant role in differentiating benign and malignant pulmonary nodules and masses,with the combined model demonstrating more prominent diagnostic value.展开更多
This paper deals with Mckean-Vlasov backward stochastic differential equations with weak monotonicity coefficients.We first establish the existence and uniqueness of solutions to Mckean-Vlasov backward stochastic diff...This paper deals with Mckean-Vlasov backward stochastic differential equations with weak monotonicity coefficients.We first establish the existence and uniqueness of solutions to Mckean-Vlasov backward stochastic differential equations.Then we obtain a comparison theorem in one-dimensional situation.展开更多
In order to address the evolving emission characteristics of oxygenated volatile organic compounds(OVOCs),it is essential to develop adsorbent materials specifically designed for the efficient adsorption of OVOCs with...In order to address the evolving emission characteristics of oxygenated volatile organic compounds(OVOCs),it is essential to develop adsorbent materials specifically designed for the efficient adsorption of OVOCs with large kinetic diameters.In this study,we used co-pyrolysis to prepare a series of graded porous carbon materials with well-developed micropores by adjusting the doping ratios of root nodules and pretreated cellulose.The material with root nodule to cellulose mass ratio of 1:1(TCC-RN-1)exhibited the highest saturated adsorption capacity for butyl acetate(834 mg/g).This can be attributed to enhanced pore size distribution from nodule doping,which facilitates the development of a micropore-graded structure.Additionally,the nodules acted as auxiliary activating agents that enhanced the KOH micropore regulation effect during the activation stage,resulting in the highest micropore volume(0.863 cm^(3)/g).The doping of root nodules facilitated the formation of additional defects on the surface of the porous carbon material,leading to a more disordered arrangement that improved pollutant adsorption.Furthermore,TCC-RN-1 demonstrated good thermal stability in an air atmosphere,main-taining a butyl acetate adsorption capacity exceeding 95%after five adsorption-desorption cycles.This indicates its favorable potential for industrial applications.展开更多
The generation of synthetic trajectories has become essential in various fields for analyzing complex movement patterns.However,the use of real-world trajectory data poses significant privacy risks,such as location re...The generation of synthetic trajectories has become essential in various fields for analyzing complex movement patterns.However,the use of real-world trajectory data poses significant privacy risks,such as location reidentification and correlation attacks.To address these challenges,privacy-preserving trajectory generation methods are critical for applications relying on sensitive location data.This paper introduces DPIL-Traj,an advanced framework designed to generate synthetic trajectories while achieving a superior balance between data utility and privacy preservation.Firstly,the framework incorporates Differential Privacy Clustering,which anonymizes trajectory data by applying differential privacy techniques that add noise,ensuring the protection of sensitive user information.Secondly,Imitation Learning is used to replicate decision-making behaviors observed in real-world trajectories.By learning from expert trajectories,this component generates synthetic data that closely mimics real-world decision-making processes while optimizing the quality of the generated trajectories.Finally,Markov-based Trajectory Generation is employed to capture and maintain the inherent temporal dynamics of movement patterns.Extensive experiments conducted on the GeoLife trajectory dataset show that DPIL-Traj improves utility performance by an average of 19.85%,and in terms of privacy performance by an average of 12.51%,compared to state-of-the-art approaches.Ablation studies further reveal that DP clustering effectively safeguards privacy,imitation learning enhances utility under noise,and the Markov module strengthens temporal coherence.展开更多
With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods...With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods are deficient,failing to reasonably allocate the privacy budget for non-outlier location points and ignoring the critical location information that may be contained in the outlier points,leading to decreased data availability and privacy exposure problems.To address these problems,this paper proposes a Mix Location Privacy Preservation Method Based on Differential Privacy with Clustering(MLDP).The method first utilizes the DBSCAN clustering algorithm to classify location points into non-outliers and outliers.For non-outliers,the scoring function is designed by combining geographic information and semantic information,and the privacy budget is allocated according to the heat intensity of the hotspot area;for outliers,the scoring function is constructed to allocate the privacy budget based on their correlation with the hotspot area.By comprehensively considering the geographic information,semantic information,and correlation with hotspot areas of the location points,a reasonable privacy budget is assigned to each location point,andfinallynoise is added throughthe Laplacemechanismto realizeprivacyprotection.Experimental results on tworeal trajectory datasets,Geolife and T-Drive,show that the MLDP approach significantly improves data availability while effectively protecting location privacy.Compared with the comparison methods,the maximum available data ratio of MLDP is 1.Moreover,compared with the RandomNoise method,its execution time is 0.056–0.061 s longer,and the logRE is 0.12951–0.62194 lower;compared with KemeansDP,QTK-DP,DPK-F,IDP-SC,and DPK-Means-up methods,it saves 0.114–0.296 s in execution time,and the logRE is 0.01112–0.38283 lower.展开更多
Poly(phenylene oxide)(PPO)exhibits excellent dielectric properties,making it an ideal substrate for high-frequency,high-speed copper-clad laminates.The phenolic hydroxyl group at the end of PPO plays a key role in its...Poly(phenylene oxide)(PPO)exhibits excellent dielectric properties,making it an ideal substrate for high-frequency,high-speed copper-clad laminates.The phenolic hydroxyl group at the end of PPO plays a key role in its reactivity.Accurately quantifying the phenolic hydroxyl content in PPO is essential but challenging.In this study,we proposed a method for measuring the phenolic hydroxyl content of PPO using differential UV absorption spectroscopy.In alkaline solutions,the phenolic hydroxyl in PPO completely ionizes to form phenoxide ions,leading to a significant increase in UV absorbance at approximately 250 and 300 nm.Notably,the differential UV absorbance at approximately 300 nm was directly proportional to the phenolic hydroxyl concentration.Using 2,6-dimethylphenol as a standard,a calibration curve was established to relate the phenolic hydroxyl concentration to differential UV absorbance at approximately 300 nm,providing a precise and straightforward method for phenolic hydroxyl quantification in PPO with distinct advantages over conventional techniques.展开更多
In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order relia...In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision.展开更多
[Objective]As wireless power transfer(WPT)technology is increasingly deployed in scenarios such as electric vehicles,metallic foreign objects in the WPT area may cause local overheating and energy loss.Existing method...[Objective]As wireless power transfer(WPT)technology is increasingly deployed in scenarios such as electric vehicles,metallic foreign objects in the WPT area may cause local overheating and energy loss.Existing methods still suffer from poor edge/corner sensitivity,misjudgment due to fixed thresholds,and limited ability to extract position information.This work proposes a wireless power transfer-foreign object detection(WPT-FOD)method based on channel differential response and a dynamic-threshold corner-enhancement strategy,aiming to improve detection sensitivity,localization accuracy,and robustness without altering the overall coil layout.[Method]A multi-channel detection coil array is designed,and the self-inductance disturbance response of each channel coil is modeled.A channel-difference mapping mechanism is introduced to build a 2-D sensitivity matrix to characterize spatial position correlation.A corner-enhancement algorithm is developed to weight and amplify the collaborative response of adjacent channels,and a dynamic threshold adjustment mechanism is integrated to adapt to varying interference levels.Validation is carried out on a self-built 64-channel FOD platform by moving a typical metallic foreign object across central,edge,and corner regions,and by conducting comparative tests under different interference intensities.[Result]When a typical metallic foreign object moves to corner regions,the self-inductance disturbance of the detection coil increases from less than 0.02μH to more than 0.06μH,significantly enhancing the discrimination capability at corners.Under varying interference strengths,the dynamic threshold mechanism reduces the number of false positives from 13 to 2,demonstrating good environmental adaptability and stability.[Conclusion]By combining channel differential response,corner enhancement,and dynamic thresholding,the proposed WPT-FOD effectively mitigates edge/corner blind spots and fixed-threshold misjudgment,while providing localization capability and robustness.It markedly improves the accuracy of metallic foreign object detection in WPT systems and offers a feasible path and method reference for the safe application and engineering deployment of WPT systems.展开更多
Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy ...Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy and efficiency in solving complex problems.Thus,the use of machine learning to predict welding de-formations is a novel approach.In this study,laser welding experiments were conducted on a TC4 titanium alloy to establish a welding deformation dataset.The deep neural network(DNN)and convolutional neural network(CNN)models were designed and constructed,with average prediction errors of 0.85 mm and 0.94 mm on the validation set,respectively.To further optimize the network parameters,a differential evolution algorithm was employed through mutation,crossover,and selection.The results indicated that after optimization,the pre-diction errors of the DNN and CNN models reduced to 0.75 mm and 0.85 mm,respectively.These represent accuracy improvements of 14.8%and 9.6%,respectively.The optimized models exhibited superior predictive performances for the validation set.展开更多
Selective Laser Melting(SLM),an advanced metal additive manufacturing technology,offers high precision and personalized customization advantages.However,selecting reasonable SLM parameters is challenging due to comple...Selective Laser Melting(SLM),an advanced metal additive manufacturing technology,offers high precision and personalized customization advantages.However,selecting reasonable SLM parameters is challenging due to complex relationships.This study proposes a method for identifying the optimal process window by combining the simulation model with an optimization algorithm.JAYA is guided by the principle of preferential behavior towards best solutions and avoidance of worst ones,but it is prone to premature convergence thus leading to insufficient global search.To overcome limitations,this research proposes a Differential Evolution-framed JAYA algorithm(DEJAYA).DEJAYA incorporates four key enhancements to improve the flexibility of the original algorithm,which include DE framework design,horizontal crossover operator,longitudinal crossover operator,and global greedy strategy.The effectiveness of DEJAYA is rigorously evaluated by a suite of 23 distinct benchmark functions.Furthermore,the numerical simulation establishes AlSi10Mg single-track formation models,and DEJAYA successfully identified the optimal process window for this problem.Experimental results validate that DEJAYA effectively guides SLM parameter selection for AlSi10Mg.展开更多
Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that devi...Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that deviate from actual operational conditions,and static maintenance strategies that fail to adapt to accelerated deterioration trends leading to suboptimal remaining useful life utilization,this study proposes a Time-Based Incomplete Maintenance(TBIM)strategy incorporating reliability constraints through stochastic differential equations(SDE).By quantifying stochastic interference via Brownian motion terms and characterizing nonlinear degradation features through state influence rate functions,a high-precision SDE degradation model is constructed,achieving 16%residual reduction compared to conventional ordinary differential equation(ODE)methods.The introduction of age reduction factors and failure rate growth factors establishes an incomplete maintenance mechanism that transcends traditional“as-good-as-new”assumptions,with the TBIM model demonstrating an additional 8.5%residual reduction relative to baseline SDE approaches.A dynamic maintenance interval optimization model driven by dual parameters—preventive maintenance threshold R_(p) and replacement threshold R_(r)—is designed to achieve synergistic optimization of equipment reliability and maintenance economics.Experimental validation demonstrates that the optimized TBIM extends equipment lifespan by 4.4%and reducesmaintenance costs by 4.16%at R_(p)=0.80,while achieving 17.2%lifespan enhancement and 14.6%cost reduction at R_(p)=0.90.This methodology provides a solution for wind turbine preventive maintenance that integrates condition sensitivity with strategic foresight.展开更多
Objective:To analyze the significance of high-frequency ultrasound in differentiating benign and malignant breast micronodules.Methods:Eighty-five patients with breast micronodules admitted for diagnosis between Octob...Objective:To analyze the significance of high-frequency ultrasound in differentiating benign and malignant breast micronodules.Methods:Eighty-five patients with breast micronodules admitted for diagnosis between October 2022 and October 2024 were selected for high-frequency ultrasound diagnosis.The diagnostic efficacy of high-frequency ultrasound was evaluated by comparing it with the results of surgical pathology.Results:High-frequency ultrasound detected 50 benign nodules,primarily breast fibroadenomas,and 35 malignant nodules,mainly breast ductal carcinoma in situ.Based on surgical pathology results,the diagnostic accuracy of high-frequency ultrasound was 96.47%,specificity was 97.96%,and sensitivity was 94.44%.In high-frequency ultrasound diagnosis,the proportion of grade III and IV blood flow in malignant nodules was higher than that in benign nodules,while the proportion of regular shape and clear margins was lower.The proportion of microcalcifications and posterior echo attenuation was higher in malignant nodules,and the resistance index(RI)and peak blood flow velocity were lower than those in benign nodules(P<0.05).Conclusion:High-frequency ultrasound can effectively differentiate benign and malignant breast micronodules,determine specific nodule types,and exhibits high diagnostic accuracy and sensitivity.Additionally,benign and malignant nodules can be differentiated based on the grading of blood flow signals,sonographic features,and blood flow velocity,providing reasonable guidance for subsequent treatment plans.展开更多
In recent years, the incidence of hepatocellular carcinoma (HCC) has been increasing worldwide, and its high mortality seriously threatens public health. Early detection and treatment are crucial to improving the surv...In recent years, the incidence of hepatocellular carcinoma (HCC) has been increasing worldwide, and its high mortality seriously threatens public health. Early detection and treatment are crucial to improving the survival rate. Imaging examination widely used for the diagnosis of HCC and provides a non-invasive means of tumor visualization. The rapid development of medical imaging technology is expected to improve early-stage diagnosis rates for HCC. This article summarizes the methods for the differential diagnosis of premalignant dysplastic nodule (DN) and small hepatocellular carcinoma during the carcinogenesis of cirrhosis and reviews their application. In addition, a discussion on some recently patented medical imaging development was also presented.展开更多
Objective: To study the differential value of shear wave velocity (SWV) in nodules quantitatively determined by acoustic radiation force impulse (ARFI) for benign and malignant thyroid nodules. Methods: Patients who w...Objective: To study the differential value of shear wave velocity (SWV) in nodules quantitatively determined by acoustic radiation force impulse (ARFI) for benign and malignant thyroid nodules. Methods: Patients who were diagnosed with thyroid nodules in the People's Hospital of Hai'an County between June 2014 and February 2017 were selected and divided into those with benign thyroid nodules and malignant thyroid nodules according to the biopsy results. Before biopsy, the ARFI ultrasonic elastography was performed to measure SWV, and the biopsy tissue was collected after biopsy to determine the expression of proliferation molecules and invasion molecules. Results: The SWV of malignant thyroid nodules was significantly higher than that of benign thyroid nodules;P53, CyclinG2, E-cadherin, TIMP1 and TIMP3 mRNA expression in malignant thyroid nodules were significantly lower than those in benign thyroid nodules while FOXA1, Survivin, XIAP, Twist and Vimentin mRNA expression were significantly higher than those in benign thyroid nodules;P53, CyclinG2, E-cadherin, TIMP1 and TIMP3 mRNA expression in malignant thyroid nodules with high SWV were significantly lower than those in malignant thyroid nodules with low SWV while FOXA1, Survivin, XIAP, Twist and Vimentin mRNA expression were significantly higher than those in malignant thyroid nodules with low SWV. Conclusion: The SWV of malignant thyroid nodules significantly increases and is closely related to the abnormal proliferation and invasion of cancer cells.展开更多
Objective: to explore the application effect of B-ultrasound examination in thyroid nodules and to clarify the clinical differential diagnosis value. Methods: 70 patients with thyroid nodules were selected from 2020.1...Objective: to explore the application effect of B-ultrasound examination in thyroid nodules and to clarify the clinical differential diagnosis value. Methods: 70 patients with thyroid nodules were selected from 2020.1 to 2021.1. After admission, they were voluntarily examined by B-mode ultrasound. The capsule, nodule size, border, echo and blood flow in B-mode ultrasound images were observed. Taking the surgical and pathological diagnosis results as the gold standard, the accuracy of B-mode ultrasound diagnosis was counted, and the disease identification and diagnosis results were confirmed. Results: benign and malignant nodules were confirmed by pathological diagnosis, 42 cases were benign and 28 cases were malignant. B-ultrasound examination showed that 39 cases were benign and 31 cases were malignant. The differential diagnosis results of benign and malignant nodules by B-ultrasound showed a sensitivity of 96.43%, an accuracy of 95.71% and a specificity of 90.47%. The types of diseases were confirmed by pathological diagnosis. There were 11 cases of thyroid tumor, 29 cases of nodular thyroid tumor, 2 cases of Hashimotos thyroid tumor and 28 cases of malignant tumor. The data of the four types of diseases examined by B-ultrasound were 8 cases, 29 cases, 2 cases and 8 cases respectively. The results showed that in the differential diagnosis of Hashimotos thyroid tumor and nodular thyroid tumor, the accuracy rate of B-ultrasound could reach 100%, while the diagnostic rate of thyroid tumor and malignant tumor was low, and there was a certain misdiagnosis rate. Conclusion: b-ultrasound examination can effectively identify benign and malignant thyroid nodules, identify different disease types, with high detection rate and sensitivity, and high application value.展开更多
Objective: to analyze the value and safety of color Doppler ultrasound in differential diagnosis of thyroid nodules. Methods: 70 patients with thyroid nodules admitted to our hospital from February 2019 to June 2021 w...Objective: to analyze the value and safety of color Doppler ultrasound in differential diagnosis of thyroid nodules. Methods: 70 patients with thyroid nodules admitted to our hospital from February 2019 to June 2021 were selected, and their clinical data were analyzed retrospectively. All patients were examined by color Doppler ultrasound before operation, and the results of operation and pathology were taken as the gold standard to analyze the examination effect of color Doppler ultrasound and hemodynamics of benign and malignant thyroid nodules. Results: the number of patients with benign nodules was 32, and the number of patients with malignant nodules was 38. The specificity, sensitivity and accuracy of color ultrasound diagnosis were 94.44% (34/36), 88.24% (30/34) and 91.43% (64/70), respectively. There was no difference between the results of operation and pathology (P>0.05). RI (0.80±0.19) and PSV (35.35±6.42) cm/s of malignant thyroid nodules were higher than those of benign thyroid nodules (P<0.05). The ultrasonographic features of malignant thyroid nodules, such as calcification (92.11%), blurred nodule boundary (89.47%), nodules > 2cm (94.74%), irregular shape (65.79%) and low echo (100%), are higher than those of benign nodules (P<0.05). Conclusion: color Doppler ultrasound diagnosis can provide powerful data support for clinicians to distinguish benign and malignant thyroid nodules, and it is non-invasive and has high safety, which is worthy of clinical promotion and application.展开更多
AIM:To elucidate the variety of ways early-stage hepatocellular carcinoma(HCC)can appear on magnetic resonance(MR)imaging by analyzing T1-weighted,T2-weighted,and gadolinium-enhanced dynamic studies.METHODS:Seventy-th...AIM:To elucidate the variety of ways early-stage hepatocellular carcinoma(HCC)can appear on magnetic resonance(MR)imaging by analyzing T1-weighted,T2-weighted,and gadolinium-enhanced dynamic studies.METHODS:Seventy-three patients with well-differentiated HCC(wHCC)or dysplastic nodules were retrospectively identified from medical records,and new histological sections were prepared and reviewed.The tumor nodules were categorized into three groups:dysplastic nodule(DN),wHCC compatible with Edmondson-Steiner grade I HCC(w1-HCC),and wHCC compatible with Edmondson-Steiner gradeⅡHCC(w2-HCC).The signal intensity on pre-contrast MR imaging and the enhancing pattern for each tumor were recorded and compared between the three tumor groups.RESULTS:Among the 73 patients,14 were diagnosed as having DN,40 were diagnosed as having w1-HCC,and 19 were diagnosed as having w2-HCC.Hyperintensity measurements on T2-weighted axial images(T2WI)were statistically significant between DNs and wHCC(P=0.006)and between DN and w1-HCC(P=0.02).The other imaging features revealed no significant differences between DN and wHCC or between DN and w1-HCC.Hyperintensity on both T1W out-phase imaging(P=0.007)and arterial enhancement on dynamic study(P=0.005)showed statistically significant differences between w1-HCC and w2-HCC.The other imaging features revealed no significant differences between w1-HCC and w2-HCC.CONCLUSION:In the follow-up for a cirrhotic nodule,increased signal intensity on T2WI may be a sign of malignant transformation.Furthermore,a noted loss of hyperintensity on T1WI and the detection of arterial enhancement might indicate further progression of the histological grade.展开更多
The solitary pulmonary nodule (SPN) is frequently seen on chest radiographs and computed tomography (CT), usually the identification is accidental. The overall prevalence of malignancy is relatively low but identifica...The solitary pulmonary nodule (SPN) is frequently seen on chest radiographs and computed tomography (CT), usually the identification is accidental. The overall prevalence of malignancy is relatively low but identification of malignancy of nodule is of prime importance. There are different characters of nodules indicating malignancy, and also the exposure of person to risk factors increases the chances of malignancy of nodule. Chances of malignancy rise with increasing size, the irregular, lobulated border of the nodules is highly associated with higher probability of malignancy and nodules with pure ground grass appearance have higher probability of malignancy, irregularly marginated nodule displaying a corona radiata sign indicating neoplastic infiltration with distortion of neighbouring tissue is almost certainly a malignant nodule. Stippled, punctuate, and eccentric calcifications are suggestive of malignancy. There are 20% - 75% of chances of malignancy if nodule is appeared with ground-glass opacity. Malignant nodules have higher growth rate as compared with benign nodules, malignant nodules usually have doubling time (DT) of 30 - 400 days while DT of more than 450 days is sign of benignity whereas doubling time less than 30 days is usually acute infectious process. The presence of fat within nodule is sign of benignity. Increasing density of the nodule is suggestive of malignancy and requires shorter follow up. Besides the nodule evaluation the chances of malignancy can also be evaluated through the exposure of patient to risk factors like age, current and past smoking status and history of extra thoracic malignancy. The management depends upon various factors mainly three strategies are applied for management including careful observation of nodule, use of diagnostic techniques like CT FNA, PET, and broncoscopy and surgery.展开更多
<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU<...<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU</sub>, in distinguishing malignant and benign thyroid nodules. <strong>Methods:</strong> Relevant studies were searched from Web of Science, PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure database and other complementary sources from inception to May 20, 2020. Study selection, data extraction, quality assessment, and data analyses were performed following the Cochrane standards and the PRISMA-DTA guideline. <strong>Results: </strong>Eight studies were included (595 patients with 737 thyroid nodules). The pooled sensitivity, specificity and summary diagnostic odds ratio of IC were 79% (95% CI: 69% - 86%), 76% (95% CI: 65% - 84%) and 11 (95% CI: 5 - 27) respectively;those of NIC were 78% (95% CI: 70% - 85%), 80% (95% CI: 74% - 85%) and 15 (95% CI: 9 - 24) respectively;those of λ<sub>HU</sub> were 80% (95% CI: 71% - 87%), 77% (95% CI: 70% - 83%) and 14 (95% CI: 8 - 24) respectively. <strong>Conclusion: </strong>DECT can be a potential evaluation tool for thyroid nodules. The NIC may be the most sensitive iodine parameter and could be comparable between different DECT machines in thyroid nodule assessment.展开更多
Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,curr...Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation.Additionally,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model performance.To address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural network.Firstly,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity curves.Next,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network model.To validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging dataset.The experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.展开更多
文摘Objective:To investigate the application of experience-based and Magnetic Resonance Imaging(MRI)radiomics in differentiating benign and malignant pulmonary nodules and masses.Methods:Sixty patients with pulmonary nodules or masses admitted from April 2024 to April 2025 were selected as study subjects.Surgical pathology was used as the gold standard to explore the differential diagnostic value of experience-based and MRI radiomics.Results:Twenty one MRI radiomic features were selected for screening,with 14 features removed and 7 remaining for normality testing.Using surgical pathology as the gold standard,among the 60 patients,36 were benign and 24 were malignant,with detection rates of 60.00%and 40.00%,respectively.The detection rates of lobulation,vascular convergence sign,and GGO components in benign pulmonary nodules/masses were lower than those in malignant ones(P<0.05).The radiomics formula was Radscore=Intercept+Weight(Feature)×Feature,with the calculated formula being Radscore=0.16-0.32×Sphericity+0.11×Mass.The AUC of the UTE Rad-score model was 0.672,which was lower than the AUC of the UTE nomogram(0.789)and the combined model(0.832)(P<0.05).Conclusion:Experience-based and MRI radiomics can play a significant role in differentiating benign and malignant pulmonary nodules and masses,with the combined model demonstrating more prominent diagnostic value.
基金Supported by the National Natural Science Foundation of China(12001074)the Research Innovation Program of Graduate Students in Hunan Province(CX20220258)+1 种基金the Research Innovation Program of Graduate Students of Central South University(1053320214147)the Key Scientific Research Project of Higher Education Institutions in Henan Province(25B110025)。
文摘This paper deals with Mckean-Vlasov backward stochastic differential equations with weak monotonicity coefficients.We first establish the existence and uniqueness of solutions to Mckean-Vlasov backward stochastic differential equations.Then we obtain a comparison theorem in one-dimensional situation.
基金supported by the National Natural Science Foundation of China(No.52370112).
文摘In order to address the evolving emission characteristics of oxygenated volatile organic compounds(OVOCs),it is essential to develop adsorbent materials specifically designed for the efficient adsorption of OVOCs with large kinetic diameters.In this study,we used co-pyrolysis to prepare a series of graded porous carbon materials with well-developed micropores by adjusting the doping ratios of root nodules and pretreated cellulose.The material with root nodule to cellulose mass ratio of 1:1(TCC-RN-1)exhibited the highest saturated adsorption capacity for butyl acetate(834 mg/g).This can be attributed to enhanced pore size distribution from nodule doping,which facilitates the development of a micropore-graded structure.Additionally,the nodules acted as auxiliary activating agents that enhanced the KOH micropore regulation effect during the activation stage,resulting in the highest micropore volume(0.863 cm^(3)/g).The doping of root nodules facilitated the formation of additional defects on the surface of the porous carbon material,leading to a more disordered arrangement that improved pollutant adsorption.Furthermore,TCC-RN-1 demonstrated good thermal stability in an air atmosphere,main-taining a butyl acetate adsorption capacity exceeding 95%after five adsorption-desorption cycles.This indicates its favorable potential for industrial applications.
基金supported by the Natural Science Foundation of Fujian Province of China(2025J01380)National Natural Science Foundation of China(No.62471139)+3 种基金the Major Health Research Project of Fujian Province(2021ZD01001)Fujian Provincial Units Special Funds for Education and Research(2022639)Fujian University of Technology Research Start-up Fund(GY-S24002)Fujian Research and Training Grants for Young and Middle-aged Leaders in Healthcare(GY-H-24179).
文摘The generation of synthetic trajectories has become essential in various fields for analyzing complex movement patterns.However,the use of real-world trajectory data poses significant privacy risks,such as location reidentification and correlation attacks.To address these challenges,privacy-preserving trajectory generation methods are critical for applications relying on sensitive location data.This paper introduces DPIL-Traj,an advanced framework designed to generate synthetic trajectories while achieving a superior balance between data utility and privacy preservation.Firstly,the framework incorporates Differential Privacy Clustering,which anonymizes trajectory data by applying differential privacy techniques that add noise,ensuring the protection of sensitive user information.Secondly,Imitation Learning is used to replicate decision-making behaviors observed in real-world trajectories.By learning from expert trajectories,this component generates synthetic data that closely mimics real-world decision-making processes while optimizing the quality of the generated trajectories.Finally,Markov-based Trajectory Generation is employed to capture and maintain the inherent temporal dynamics of movement patterns.Extensive experiments conducted on the GeoLife trajectory dataset show that DPIL-Traj improves utility performance by an average of 19.85%,and in terms of privacy performance by an average of 12.51%,compared to state-of-the-art approaches.Ablation studies further reveal that DP clustering effectively safeguards privacy,imitation learning enhances utility under noise,and the Markov module strengthens temporal coherence.
基金supported in part by the National Natural Science Foundation of China(Grant No.61971291)the Basic Scientific Research Project of the Liaoning Provincial Department of Education(LJ212410144013)+2 种基金the Leading Talent of the‘Xing Liao Ying Cai Plan’(XLYC2202013)the Shenyang Natural Science Foundation(22-315-6-10)the Guangxuan Scholar of Shenyang Ligong University(SYLUGXXZ202205).
文摘With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods are deficient,failing to reasonably allocate the privacy budget for non-outlier location points and ignoring the critical location information that may be contained in the outlier points,leading to decreased data availability and privacy exposure problems.To address these problems,this paper proposes a Mix Location Privacy Preservation Method Based on Differential Privacy with Clustering(MLDP).The method first utilizes the DBSCAN clustering algorithm to classify location points into non-outliers and outliers.For non-outliers,the scoring function is designed by combining geographic information and semantic information,and the privacy budget is allocated according to the heat intensity of the hotspot area;for outliers,the scoring function is constructed to allocate the privacy budget based on their correlation with the hotspot area.By comprehensively considering the geographic information,semantic information,and correlation with hotspot areas of the location points,a reasonable privacy budget is assigned to each location point,andfinallynoise is added throughthe Laplacemechanismto realizeprivacyprotection.Experimental results on tworeal trajectory datasets,Geolife and T-Drive,show that the MLDP approach significantly improves data availability while effectively protecting location privacy.Compared with the comparison methods,the maximum available data ratio of MLDP is 1.Moreover,compared with the RandomNoise method,its execution time is 0.056–0.061 s longer,and the logRE is 0.12951–0.62194 lower;compared with KemeansDP,QTK-DP,DPK-F,IDP-SC,and DPK-Means-up methods,it saves 0.114–0.296 s in execution time,and the logRE is 0.01112–0.38283 lower.
基金the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2023C01072)the Institute of Zhejiang University-Quzhou for their financial support。
文摘Poly(phenylene oxide)(PPO)exhibits excellent dielectric properties,making it an ideal substrate for high-frequency,high-speed copper-clad laminates.The phenolic hydroxyl group at the end of PPO plays a key role in its reactivity.Accurately quantifying the phenolic hydroxyl content in PPO is essential but challenging.In this study,we proposed a method for measuring the phenolic hydroxyl content of PPO using differential UV absorption spectroscopy.In alkaline solutions,the phenolic hydroxyl in PPO completely ionizes to form phenoxide ions,leading to a significant increase in UV absorbance at approximately 250 and 300 nm.Notably,the differential UV absorbance at approximately 300 nm was directly proportional to the phenolic hydroxyl concentration.Using 2,6-dimethylphenol as a standard,a calibration curve was established to relate the phenolic hydroxyl concentration to differential UV absorbance at approximately 300 nm,providing a precise and straightforward method for phenolic hydroxyl quantification in PPO with distinct advantages over conventional techniques.
基金National Natural Science Foundation of China(No.52375236)Fundamental Research Funds for the Central Universities of China(No.23D110316)。
文摘In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision.
文摘[Objective]As wireless power transfer(WPT)technology is increasingly deployed in scenarios such as electric vehicles,metallic foreign objects in the WPT area may cause local overheating and energy loss.Existing methods still suffer from poor edge/corner sensitivity,misjudgment due to fixed thresholds,and limited ability to extract position information.This work proposes a wireless power transfer-foreign object detection(WPT-FOD)method based on channel differential response and a dynamic-threshold corner-enhancement strategy,aiming to improve detection sensitivity,localization accuracy,and robustness without altering the overall coil layout.[Method]A multi-channel detection coil array is designed,and the self-inductance disturbance response of each channel coil is modeled.A channel-difference mapping mechanism is introduced to build a 2-D sensitivity matrix to characterize spatial position correlation.A corner-enhancement algorithm is developed to weight and amplify the collaborative response of adjacent channels,and a dynamic threshold adjustment mechanism is integrated to adapt to varying interference levels.Validation is carried out on a self-built 64-channel FOD platform by moving a typical metallic foreign object across central,edge,and corner regions,and by conducting comparative tests under different interference intensities.[Result]When a typical metallic foreign object moves to corner regions,the self-inductance disturbance of the detection coil increases from less than 0.02μH to more than 0.06μH,significantly enhancing the discrimination capability at corners.Under varying interference strengths,the dynamic threshold mechanism reduces the number of false positives from 13 to 2,demonstrating good environmental adaptability and stability.[Conclusion]By combining channel differential response,corner enhancement,and dynamic thresholding,the proposed WPT-FOD effectively mitigates edge/corner blind spots and fixed-threshold misjudgment,while providing localization capability and robustness.It markedly improves the accuracy of metallic foreign object detection in WPT systems and offers a feasible path and method reference for the safe application and engineering deployment of WPT systems.
基金Supported by Defense Industrial Technology Development Program of China(Grant No.JCKY2021605B015).
文摘Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy and efficiency in solving complex problems.Thus,the use of machine learning to predict welding de-formations is a novel approach.In this study,laser welding experiments were conducted on a TC4 titanium alloy to establish a welding deformation dataset.The deep neural network(DNN)and convolutional neural network(CNN)models were designed and constructed,with average prediction errors of 0.85 mm and 0.94 mm on the validation set,respectively.To further optimize the network parameters,a differential evolution algorithm was employed through mutation,crossover,and selection.The results indicated that after optimization,the pre-diction errors of the DNN and CNN models reduced to 0.75 mm and 0.85 mm,respectively.These represent accuracy improvements of 14.8%and 9.6%,respectively.The optimized models exhibited superior predictive performances for the validation set.
文摘Selective Laser Melting(SLM),an advanced metal additive manufacturing technology,offers high precision and personalized customization advantages.However,selecting reasonable SLM parameters is challenging due to complex relationships.This study proposes a method for identifying the optimal process window by combining the simulation model with an optimization algorithm.JAYA is guided by the principle of preferential behavior towards best solutions and avoidance of worst ones,but it is prone to premature convergence thus leading to insufficient global search.To overcome limitations,this research proposes a Differential Evolution-framed JAYA algorithm(DEJAYA).DEJAYA incorporates four key enhancements to improve the flexibility of the original algorithm,which include DE framework design,horizontal crossover operator,longitudinal crossover operator,and global greedy strategy.The effectiveness of DEJAYA is rigorously evaluated by a suite of 23 distinct benchmark functions.Furthermore,the numerical simulation establishes AlSi10Mg single-track formation models,and DEJAYA successfully identified the optimal process window for this problem.Experimental results validate that DEJAYA effectively guides SLM parameter selection for AlSi10Mg.
基金supported in part by the National Natural Science Foundation of China(No.52467008)Gansu Provincial Depatment of Education Youth Doctoral Suppo Project(2024QB-051).
文摘Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that deviate from actual operational conditions,and static maintenance strategies that fail to adapt to accelerated deterioration trends leading to suboptimal remaining useful life utilization,this study proposes a Time-Based Incomplete Maintenance(TBIM)strategy incorporating reliability constraints through stochastic differential equations(SDE).By quantifying stochastic interference via Brownian motion terms and characterizing nonlinear degradation features through state influence rate functions,a high-precision SDE degradation model is constructed,achieving 16%residual reduction compared to conventional ordinary differential equation(ODE)methods.The introduction of age reduction factors and failure rate growth factors establishes an incomplete maintenance mechanism that transcends traditional“as-good-as-new”assumptions,with the TBIM model demonstrating an additional 8.5%residual reduction relative to baseline SDE approaches.A dynamic maintenance interval optimization model driven by dual parameters—preventive maintenance threshold R_(p) and replacement threshold R_(r)—is designed to achieve synergistic optimization of equipment reliability and maintenance economics.Experimental validation demonstrates that the optimized TBIM extends equipment lifespan by 4.4%and reducesmaintenance costs by 4.16%at R_(p)=0.80,while achieving 17.2%lifespan enhancement and 14.6%cost reduction at R_(p)=0.90.This methodology provides a solution for wind turbine preventive maintenance that integrates condition sensitivity with strategic foresight.
文摘Objective:To analyze the significance of high-frequency ultrasound in differentiating benign and malignant breast micronodules.Methods:Eighty-five patients with breast micronodules admitted for diagnosis between October 2022 and October 2024 were selected for high-frequency ultrasound diagnosis.The diagnostic efficacy of high-frequency ultrasound was evaluated by comparing it with the results of surgical pathology.Results:High-frequency ultrasound detected 50 benign nodules,primarily breast fibroadenomas,and 35 malignant nodules,mainly breast ductal carcinoma in situ.Based on surgical pathology results,the diagnostic accuracy of high-frequency ultrasound was 96.47%,specificity was 97.96%,and sensitivity was 94.44%.In high-frequency ultrasound diagnosis,the proportion of grade III and IV blood flow in malignant nodules was higher than that in benign nodules,while the proportion of regular shape and clear margins was lower.The proportion of microcalcifications and posterior echo attenuation was higher in malignant nodules,and the resistance index(RI)and peak blood flow velocity were lower than those in benign nodules(P<0.05).Conclusion:High-frequency ultrasound can effectively differentiate benign and malignant breast micronodules,determine specific nodule types,and exhibits high diagnostic accuracy and sensitivity.Additionally,benign and malignant nodules can be differentiated based on the grading of blood flow signals,sonographic features,and blood flow velocity,providing reasonable guidance for subsequent treatment plans.
文摘In recent years, the incidence of hepatocellular carcinoma (HCC) has been increasing worldwide, and its high mortality seriously threatens public health. Early detection and treatment are crucial to improving the survival rate. Imaging examination widely used for the diagnosis of HCC and provides a non-invasive means of tumor visualization. The rapid development of medical imaging technology is expected to improve early-stage diagnosis rates for HCC. This article summarizes the methods for the differential diagnosis of premalignant dysplastic nodule (DN) and small hepatocellular carcinoma during the carcinogenesis of cirrhosis and reviews their application. In addition, a discussion on some recently patented medical imaging development was also presented.
文摘Objective: To study the differential value of shear wave velocity (SWV) in nodules quantitatively determined by acoustic radiation force impulse (ARFI) for benign and malignant thyroid nodules. Methods: Patients who were diagnosed with thyroid nodules in the People's Hospital of Hai'an County between June 2014 and February 2017 were selected and divided into those with benign thyroid nodules and malignant thyroid nodules according to the biopsy results. Before biopsy, the ARFI ultrasonic elastography was performed to measure SWV, and the biopsy tissue was collected after biopsy to determine the expression of proliferation molecules and invasion molecules. Results: The SWV of malignant thyroid nodules was significantly higher than that of benign thyroid nodules;P53, CyclinG2, E-cadherin, TIMP1 and TIMP3 mRNA expression in malignant thyroid nodules were significantly lower than those in benign thyroid nodules while FOXA1, Survivin, XIAP, Twist and Vimentin mRNA expression were significantly higher than those in benign thyroid nodules;P53, CyclinG2, E-cadherin, TIMP1 and TIMP3 mRNA expression in malignant thyroid nodules with high SWV were significantly lower than those in malignant thyroid nodules with low SWV while FOXA1, Survivin, XIAP, Twist and Vimentin mRNA expression were significantly higher than those in malignant thyroid nodules with low SWV. Conclusion: The SWV of malignant thyroid nodules significantly increases and is closely related to the abnormal proliferation and invasion of cancer cells.
文摘Objective: to explore the application effect of B-ultrasound examination in thyroid nodules and to clarify the clinical differential diagnosis value. Methods: 70 patients with thyroid nodules were selected from 2020.1 to 2021.1. After admission, they were voluntarily examined by B-mode ultrasound. The capsule, nodule size, border, echo and blood flow in B-mode ultrasound images were observed. Taking the surgical and pathological diagnosis results as the gold standard, the accuracy of B-mode ultrasound diagnosis was counted, and the disease identification and diagnosis results were confirmed. Results: benign and malignant nodules were confirmed by pathological diagnosis, 42 cases were benign and 28 cases were malignant. B-ultrasound examination showed that 39 cases were benign and 31 cases were malignant. The differential diagnosis results of benign and malignant nodules by B-ultrasound showed a sensitivity of 96.43%, an accuracy of 95.71% and a specificity of 90.47%. The types of diseases were confirmed by pathological diagnosis. There were 11 cases of thyroid tumor, 29 cases of nodular thyroid tumor, 2 cases of Hashimotos thyroid tumor and 28 cases of malignant tumor. The data of the four types of diseases examined by B-ultrasound were 8 cases, 29 cases, 2 cases and 8 cases respectively. The results showed that in the differential diagnosis of Hashimotos thyroid tumor and nodular thyroid tumor, the accuracy rate of B-ultrasound could reach 100%, while the diagnostic rate of thyroid tumor and malignant tumor was low, and there was a certain misdiagnosis rate. Conclusion: b-ultrasound examination can effectively identify benign and malignant thyroid nodules, identify different disease types, with high detection rate and sensitivity, and high application value.
文摘Objective: to analyze the value and safety of color Doppler ultrasound in differential diagnosis of thyroid nodules. Methods: 70 patients with thyroid nodules admitted to our hospital from February 2019 to June 2021 were selected, and their clinical data were analyzed retrospectively. All patients were examined by color Doppler ultrasound before operation, and the results of operation and pathology were taken as the gold standard to analyze the examination effect of color Doppler ultrasound and hemodynamics of benign and malignant thyroid nodules. Results: the number of patients with benign nodules was 32, and the number of patients with malignant nodules was 38. The specificity, sensitivity and accuracy of color ultrasound diagnosis were 94.44% (34/36), 88.24% (30/34) and 91.43% (64/70), respectively. There was no difference between the results of operation and pathology (P>0.05). RI (0.80±0.19) and PSV (35.35±6.42) cm/s of malignant thyroid nodules were higher than those of benign thyroid nodules (P<0.05). The ultrasonographic features of malignant thyroid nodules, such as calcification (92.11%), blurred nodule boundary (89.47%), nodules > 2cm (94.74%), irregular shape (65.79%) and low echo (100%), are higher than those of benign nodules (P<0.05). Conclusion: color Doppler ultrasound diagnosis can provide powerful data support for clinicians to distinguish benign and malignant thyroid nodules, and it is non-invasive and has high safety, which is worthy of clinical promotion and application.
文摘AIM:To elucidate the variety of ways early-stage hepatocellular carcinoma(HCC)can appear on magnetic resonance(MR)imaging by analyzing T1-weighted,T2-weighted,and gadolinium-enhanced dynamic studies.METHODS:Seventy-three patients with well-differentiated HCC(wHCC)or dysplastic nodules were retrospectively identified from medical records,and new histological sections were prepared and reviewed.The tumor nodules were categorized into three groups:dysplastic nodule(DN),wHCC compatible with Edmondson-Steiner grade I HCC(w1-HCC),and wHCC compatible with Edmondson-Steiner gradeⅡHCC(w2-HCC).The signal intensity on pre-contrast MR imaging and the enhancing pattern for each tumor were recorded and compared between the three tumor groups.RESULTS:Among the 73 patients,14 were diagnosed as having DN,40 were diagnosed as having w1-HCC,and 19 were diagnosed as having w2-HCC.Hyperintensity measurements on T2-weighted axial images(T2WI)were statistically significant between DNs and wHCC(P=0.006)and between DN and w1-HCC(P=0.02).The other imaging features revealed no significant differences between DN and wHCC or between DN and w1-HCC.Hyperintensity on both T1W out-phase imaging(P=0.007)and arterial enhancement on dynamic study(P=0.005)showed statistically significant differences between w1-HCC and w2-HCC.The other imaging features revealed no significant differences between w1-HCC and w2-HCC.CONCLUSION:In the follow-up for a cirrhotic nodule,increased signal intensity on T2WI may be a sign of malignant transformation.Furthermore,a noted loss of hyperintensity on T1WI and the detection of arterial enhancement might indicate further progression of the histological grade.
文摘The solitary pulmonary nodule (SPN) is frequently seen on chest radiographs and computed tomography (CT), usually the identification is accidental. The overall prevalence of malignancy is relatively low but identification of malignancy of nodule is of prime importance. There are different characters of nodules indicating malignancy, and also the exposure of person to risk factors increases the chances of malignancy of nodule. Chances of malignancy rise with increasing size, the irregular, lobulated border of the nodules is highly associated with higher probability of malignancy and nodules with pure ground grass appearance have higher probability of malignancy, irregularly marginated nodule displaying a corona radiata sign indicating neoplastic infiltration with distortion of neighbouring tissue is almost certainly a malignant nodule. Stippled, punctuate, and eccentric calcifications are suggestive of malignancy. There are 20% - 75% of chances of malignancy if nodule is appeared with ground-glass opacity. Malignant nodules have higher growth rate as compared with benign nodules, malignant nodules usually have doubling time (DT) of 30 - 400 days while DT of more than 450 days is sign of benignity whereas doubling time less than 30 days is usually acute infectious process. The presence of fat within nodule is sign of benignity. Increasing density of the nodule is suggestive of malignancy and requires shorter follow up. Besides the nodule evaluation the chances of malignancy can also be evaluated through the exposure of patient to risk factors like age, current and past smoking status and history of extra thoracic malignancy. The management depends upon various factors mainly three strategies are applied for management including careful observation of nodule, use of diagnostic techniques like CT FNA, PET, and broncoscopy and surgery.
文摘<strong>Objectives:</strong> To evaluate the diagnostic performance of the quantitative iodine parameters, including Iodine Concentration (IC), Normalized Iodine Concentration (NIC), and λ<sub>HU</sub>, in distinguishing malignant and benign thyroid nodules. <strong>Methods:</strong> Relevant studies were searched from Web of Science, PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure database and other complementary sources from inception to May 20, 2020. Study selection, data extraction, quality assessment, and data analyses were performed following the Cochrane standards and the PRISMA-DTA guideline. <strong>Results: </strong>Eight studies were included (595 patients with 737 thyroid nodules). The pooled sensitivity, specificity and summary diagnostic odds ratio of IC were 79% (95% CI: 69% - 86%), 76% (95% CI: 65% - 84%) and 11 (95% CI: 5 - 27) respectively;those of NIC were 78% (95% CI: 70% - 85%), 80% (95% CI: 74% - 85%) and 15 (95% CI: 9 - 24) respectively;those of λ<sub>HU</sub> were 80% (95% CI: 71% - 87%), 77% (95% CI: 70% - 83%) and 14 (95% CI: 8 - 24) respectively. <strong>Conclusion: </strong>DECT can be a potential evaluation tool for thyroid nodules. The NIC may be the most sensitive iodine parameter and could be comparable between different DECT machines in thyroid nodule assessment.
基金supported by the National Natural Science Foundation of China(NSFC)under Grant(No.51677058).
文摘Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation.Additionally,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model performance.To address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural network.Firstly,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity curves.Next,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network model.To validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging dataset.The experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.
