Multimodal fusion recognition for digital twin

The digital twin is the concept of transcending reality,which is the reverse feedback from the real physical space to the virtual digital space.People hold great prospects for this emerging technology.In order to realize the upgrading of the digital twin industrial chain,it is urgent to introduce more modalities,such as vision,haptics,hearing and smell,into the virtual digital space,which assists physical entities and virtual objects in creating a closer connection.Therefore,perceptual understanding and object recognition have become an urgent hot topic in the digital twin.Existing surface material classification schemes often achieve recognition through machine learning or deep learning in a single modality,ignoring the complementarity between multiple modalities.In order to overcome this dilemma,we propose a multimodal fusion network in our article that combines two modalities,visual and haptic,for surface material recognition.On the one hand,the network makes full use of the potential correlations between multiple modalities to deeply mine the modal semantics and complete the data mapping.On the other hand,the network is extensible and can be used as a universal architecture to include more modalities.Experiments show that the constructed multimodal fusion network can achieve 99.42%classification accuracy while reducing complexity.

Factors associated with hypertension remission after gastrectomy for gastric cancer patients

BACKGROUND Previous studies reported hypertension remission after gastrectomy for gastric cancer patients, and the remission rate was 11.1%-93.8%. We have reported the factors of hypertension remission previously, however, the follow-up time was six months. It is necessary to identify risk factors for hypertension for a relatively longer follow-up time.AIM To analyze the predictive factors for hypertension remission one year after gastrectomy of gastric cancer patients and to construct a risk model for hypertension remission.METHODS We retrospectively collected the medical information of patients with concurrent gastric cancer and hypertension in a single clinical center from January 2013 to December 2020. Univariate and multivariate logistic regression of hypertension remission were conducted, and a nomogram model was established.RESULTS A total of 209 patients with concurrent gastric cancer and hypertension were included in the current study. There were 108 patients in the remission group and 101 patients in the non-remission group. The hypertension remission rate was 51.7% one year after gastrectomy. The remission group had younger aged patients(P = 0.001), larger weight loss(P = 0.001), lower portion of coronary heart disease(P = 0.017), higher portion of II-degree hypertension(P = 0.033) and higher portion of total gastrectomy(P = 0.008) than the non-remission group. Younger age(P =0.011, odds ratio = 0.955, 95%CI: 0.922-0.990), higher weight loss(P = 0.019, odds ratio = 0.937,95%CI: 0.887-0.989) and total gastrectomy(P = 0.039, odds ratio = 2.091, 95%CI: 1.037-4.216) were independent predictors for hypertension remission. The concordance index of the model was 0.769and the calibration curve suggested great agreement. Furthermore, decision curve analysis showed that the model was clinically useful.CONCLUSION Younger age, higher weight loss and total gastrectomy were independent predictors for hypertension remission after gastrectomy for gastric cancer patients. The nomogram could visually display these results.

Study on Climate Change Characteristics in Western Qinling in the Past 41 Years

[Objective] The research aimed to examine climate change characteristics in western Qinling during 1967-2007. [Me^od] Based on the data of temperature, precipitation, sunshine duration, relative humidity and evaporation capacity derived from 17 weather stations, we analyzed the climatic change characteristics in western Qinling in the past 41 years, r Result] Increase magnitude of the annual mean temperature was 0.30 ℃/10 a in the past 41 years. Annual precipitation averaged 802 mm and varied non-significantly during the 41 years, while precipitation in spring significantly decreased by 13.68 mm/10 a. Besides, annual sunshine duration and annual mean relative humidity both decreased non-significantly, in contrast to annual evaporation capacity which showed an insignificantly increasing trend. Compared among southern, central and northern areas of the western Qinling, annual mean temperature, precipitation and relative humidity showed decreasing trends from south to north, while annual sunshine duration and annual evaporation capacity showed inversely increasing trends. [ Condusionl Thus, our research could provide reference basis for ecosystem stability and related research in western Qinling.

A Bionic Vibration Source Localization Device Inspired by the Hunting Localization Mechanism of Scorpions

The challenges we are faced with in localizing objects are the complex environments,such as tunnels,high-rise areas and underground parking lots.This paper develops a bionic vibration source localization device to estimate the direction of the object which is inspired by the unique and precise hunting localization mechanism of scorpions.The localization device uses the sensor array,which is patterned after the scorpions5 biological sensory structure,and imitates the coding mode of scorpions,sensory neurons for determination of the prey(vibration source)bearing.To verify the effectiveness of the localization device,some experiments were performed through real collected vibration signals.The Average Estimated Error(AEE)and the Relative Estimated Error(REE)of the experimental results were calculated to be 3.64°土2.44°and-1.43°±4.14°,respectively.It indicates that the device has a good performance to estimate the bearings of vibration sources at different distances and azimuths.This bionic localization device lays the foundation for the development of locating the moving object in some special conditions.

Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study

Background:Pneumonia-like primary pulmonary lymphoma(PPL)was commonly misdiagnosed as infectious pneumonia,leading to delayed treatment.The purpose of this study was to establish a computed tomography(CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia.Methods:In this retrospective study,79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled.Patients from center 1 to center 7 were assigned to the training or validation cohort,and the remaining patients from other centers were used as the external test cohort.Radiomics features were extracted from CT images.A three-step procedure was applied for radiomics feature selection and radiomics signature building,including the inter-and intra-class correlation coefficients(ICCs),a one-way analysis of variance(ANOVA),and least absolute shrinkage and selection operator(LASSO).Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model.Two radiologists reviewed the CT images for the external test set.Performance of the radiomics model,clinical factor model,and each radiologist were assessed by receiver operating characteristic,and area under the curve(AUC)was compared.Results:A total of 144 patients(44 with pneumonia-like PPL and 100 infectious pneumonia)were in the training cohort,38 patients(12 with pneumonia-like PPL and 26 infectious pneumonia)were in the validation cohort,and 73 patients(23 with pneumonia-like PPL and 50 infectious pneumonia)were in the external test cohort.Twenty-three radiomics features were selected to build the radiomics model,which yielded AUCs of 0.95(95%confidence interval[CI]:0.94-0.99),0.93(95%CI:0.85-0.98),and 0.94(95%CI:0.87-0.99)in the training,validation,and external test cohort,respectively.The AUCs for the two readers and clinical factor model were 0.74(95%CI:0.63-0.83),0.72(95%CI:0.62-0.82),and 0.73(95%CI:0.62-0.84)in the external test cohort,respectively.The radiomics model outperformed both the readers’interpretation and clinical factor model(P<0.05).Conclusions:The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia,which might provide assistance for clinicians in tailoring precise therapy.

Anomalous systemic artery to the non-sequestrated lung: multi-slice computed tomography features

Anomalous systemic artery to the non-sequestrated lung(ASANSL)is a rare congenital anomaly that was previously classified as a Pryce type I sequestration;it comprises an anomalous systemic artery(ASA)to the normal lung.[1]To more clearly determine the features of ASANSL,we collected data on 15 cases and reviewed the relevant literature.It has been concluded that multi-slice computed tomography(MSCT)can be used as a highly reliable and minimally invasive tool for diagnosing ASANSL and planning the treatment plan.