Efficacy and Safety of Ultrasound-Guided Radiofrequency Ablation for Primary Hyperparathyroidism: A Prospective Study

Chai Hui-hui,Zhao Yu,Zeng Zeng,Ye Rui-zhong,Hu Qiao-hong,He Hong-feng,Baek Jung Hwan,Peng Cheng-zhong 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.5

Objective: To assess the efficacy and safety of ultrasound (US)-guided radiofrequency ablation (RFA) in patients with primary hyperparathyroidism (PHPT). Materials and Methods: This prospective study enrolled 39 participants (14 male, 25 female; mean age, 59.5 ± 15.3 [range, 18–87] years) between September 1, 2018, and January 31, 2021. All participants had parathyroid lesions causing PHPT, proven biochemically and through imaging. The imaging features of the PHPT nodules, including the shape, margin, size, composition, and location, were evaluated before treatment. Serum intact parathyroid hormone, calcium, and phosphorus levels; parathyroid nodule volume; and PHPT-related symptoms were recorded before and after treatment. We calculated the technical success, biochemical cure, and clinical cure rates for these patients. Complications were evaluated during and after the ablation. Results: Complete ablation was achieved in 38 of the 39 nodules in the 39 enrolled participants. All the patients were treated in one session. The technical success rate was 97.4% (38/39). The mean follow-up duration was 13.2 ± 4.6 (range, 6.0–24.9) months. At 6 and 12 months post-RFA, the biochemical cure rates were 82.1% (32/39) and 84.4% (27/32), respectively, and the clinical cure rates were 100% (39/39) and 96.9% (31/32), respectively. Only 2.6% (1/39) of the patients had recurrent PHPT. At 1, 3, 6, and 12 months after technically successful RFA, 44.7% (17/38), 34.3% (12/35), 15.8% (6/38), and 12.5% (4/32) of participants, respectively, had elevated eucalcemic parathyroid hormone levels. Recurrent laryngeal nerve paralysis occurred in 5.1% (2/39) of the patients, who recovered spontaneously within 1–3 months. Conclusion: US-guided RFA was effective and safe for PHPT patients. RFA may be an alternative treatment tool for patients who cannot tolerate or refuse to undergo surgery.

Controllable tuning of the electronic transport in pre-designed graphene nanoribbon

Hui Zeng,Jun Zhao,Jianwei Wei,Dahai Xu,J.-P. Leburton 한국물리학회 2012 Current Applied Physics Vol.12 No.6

We make use of ab initio density functional theory calculation to explore the electronic and transport properties of zigzag-edged graphene nanoribbon (ZGNR) with peculiar designed electronic transport channels by tailoring the atomic configuration of the nanostructure. Tailoring the atomic structure has significant influences on the electronic transport of the defective nanostructure, and eventually the metal-semiconducting transition are identified with the increasing number of missing atoms. Our results demonstrate that pre-designed graphene nanoribbon by selective tailoring with high precision is expected to be served as the basic component for nanoelectronic device.

Learning-Based Multiple Pooling Fusion in Multi-View Convolutional Neural Network for 3D Model Classification and Retrieval

Hui Zeng,Qi Wang,Chen Li,Wei Song 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

We design an ingenious view-pooling method named learning-based multiple pooling fusion (LMPF), andapply it to multi-view convolutional neural network (MVCNN) for 3D model classification or retrieval. By thismeans, multi-view feature maps projected from a 3D model can be compiled as a simple and effective featuredescriptor. The LMPF method fuses the max pooling method and the mean pooling method by learning a setof optimal weights. Compared with the hand-crafted approaches such as max pooling and mean pooling, theLMPF method can decrease the information loss effectively because of its “learning” ability. Experiments onModelNet40 dataset and McGill dataset are presented and the results verify that LMPF can outperform thoseprevious methods to a great extent.

Analysis of Financial Competitiveness for Listed Companies in Guangxi, China

Hui, Zeng,Lee, Euitaek 大田大學校 社會科學硏究所 2018 社會科學論文集 Vol.37 No.1

This paper takes Shanghai-Shenzhen A-share listed companies for 33 of the Guangxi Zhuang Autonomous Region at the end of 2016 as the research object, using the factor analysis method to comprehensively evaluate the financial competitiveness of the listed companies of Guangxi from the five aspects of the debt paying ability, profit ability, cash acquisition, growth ability and asset operation ability. Analysis results show that the debt paying ability has the largest influence on the financial competitiveness of listed companies in Guangxi, the main reason leading to the lack of financial competitiveness of listed companies in Guangxi is poorer growth ability and asset operation ability, finally put forward the corresponding countermeasure and suggestion to improve the financial competitiveness of listed companies in Guangxi.

Investigating the factors affecting the residential satisfaction of new-generation migrants: a case study of Hangzhou in China

Hui Zeng,Qiulin Ke,Xiaofen Yu 서울시립대학교 도시과학연구원 2021 도시과학국제저널 Vol.25 No.1

This paper examines the residential satisfaction of new-generation migrants in the Chinese context. The study uses the survey data of residential satisfaction of new-generation migrants in Hangzhou. The ordered logit model is employed to examine the factors affecting the residential satisfaction of new-generation migrants, a special group of the workforce in metropolitan cities of China. Unlike the previous studies of residential satisfaction of rural migrant workers in Chinese cities, we find that the residential satisfaction of new-generation migrants does follow the standard patterns identified in the literature; the socio-demographic attributes such as gender, education, income, housing characteristics of size and the quality of kitchen and sanitary facilities and neighbourhood environment and location factors such as the distance to work place, accessibility to employment and other location and the availability of entertaining amenities are significant determinants of residential satisfaction of new-generation migrants. Additionally, the institutional factors such as tenancy agreement signed with landlord and lease length, which provides tenants with residential stability and security have a significant impact on residential satisfaction. This finding has policy implication of regulating the growing rental housing market in China. This finding also complements the existing research on residential satisfaction.

Aldehyde Volatiles Emitted in Succession from Mechanically Damaged Leaves of Poplar Cuttings

( Zeng Hui Hu ),( Ying Bai Shen ),( You Qing Luo ),( Fan Yi Shen ),( Hai Bo Gao ),( Rong Fu Gao ) 한국식물학회 2008 Journal of Plant Biology Vol.51 No.4

Plant aldehydes are volatiles necessary to defenses against environmental stress. To explore their emissions in response to wounding, we performed gas chromatography-mass spectrometry (GC-MS) on cuttings from poplar (Populus simonii×P. pyramidalis ``Opera 8277``) that were mechanically damaged to mimic herbivore attack. We detected 16 aldehydes, including 11 linear saturated aldehydes, 3 linear unsaturated aldehydes, and 2 non-linear aldehydes. Emissions of these aldehydes were clearly enhanced by such treatment, and exhibited a similar pattern of change, i.e., increasing in the first 2 h, then sharply decreasing before rising again at about 12 h. Two release peaks for these aldehydes were observed. Therefore, we propose two pathways for the mediation of aldehyde emissions following damage. The first peak may represent emissions from plant storage pools, whereas the second release peak might result from greater formation de novo through an activated synthesis pathway.

Convolutional Neural Network Based Multi-feature Fusion for Non-rigid 3D Model Retrieval

Zeng, Hui,Liu, Yanrong,Li, Siqi,Che, JianYong,Wang, Xiuqing Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.1

This paper presents a novel convolutional neural network based multi-feature fusion learning method for non-rigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

Convolutional Neural Network Based Multi-feature Fusion for Non-rigid 3D Model Retrieval

( Hui Zeng ),( Yanrong Liu ),( Siqi Li ),( Jianyong Che ),( Xiuqing Wang ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1

This paper presents a novel convolutional neural network based multi-feature fusion learning method for nonrigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

Associations between AT-rich Interactive Domain 5B gene Polymorphisms and Risk of Childhood Acute Lymphoblastic Leukemia: a Meta-analysis

Zeng, Hui,Wang, Xue-Bin,Cui, Ning-Hua,Nam, Seungyoon,Zeng, Tuo,Long, Xinghua Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.15

Previous genome-wide association studies (GWAS) have implicated several single nucleotide polymorphisms (SNPs) in the AT-rich interactive domain 5B (ARID5B) gene with childhood acute lymphoblastic leukemia (ALL). However, replicated studies reported some inconsistent results in different populations. Using meta-analysis, we here aimed to clarify the nature of the genetic risks contributed by the two polymorphisms (rs10994982, rs7089424) for developing childhood ALL. Through searches of PubMed, EMBASE, and manually searching relevant references, a total of 14 articles with 16 independent studies were included. Odds ratios (ORs) with 95% confidence intervals (95%CI) were calculated to assess the associations. Both SNPs rs10994982 and rs7089424 showed significant associations with childhood ALL risk in all genetic models after Bonferroni correction. Furthermore, subtype analyses of B-lineage ALL provided strong evidence that SNP rs10994982 is highly associated with the risk of developing B-hyperdiploid ALL. These results indicate that SNPs rs10994982 and rs7089424 are indeed significantly associated with increased risk of childhood ALL.

Smooth Torque Speed Characteristic of Switched Reluctance Motors

Hui Zeng,Zhe Chen,Hao Chen 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.2

The torque ripple of switched reluctance motors (SRMs) is the main disadvantage that limits the industrial application of these motors. Although several methods for smooth-toque operation (STO) have been proposed, STO works well only within a certain torque and speed range because of the constraints of the supply voltage and peak current. Based on previous work that sought to expand the STO range, a scheme is developed in this study to determine the maximum smooth torque range at each speed. The relationship between the maximum smooth torque and speed is defined as the smooth torque speed characteristics (STSC), a concept similar to torque speed characteristics (TSC). STSC can be utilized to evaluate torque utilization by comparing it with TSC. Thus, the concept benefits the special design of SRMs, especially for the generation of smooth torque. Furthermore, the torque sharing function (TSF) derived from the proposed method can be applied to STO, which produces a higher smooth torque over a wider speed range in contrast to four typical TSFs. TSimulation and experimental results verify the proposed method.