8,813 results on '"Wen,Fang"'
Search Results
2. Metabolic obesity phenotypes and all-cause mortality among the Chinese oldest-old population: a prospective cohort study
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Song, Wei-Qi, Zhong, Wen-Fang, Gao, Jian, Li, Zhi-Hao, Ren, Jiao-Jiao, Shen, Dong, Wang, Xiao-Meng, Shen, Qiao-Qiao, You, Fang-Fei, Fu, Qi, Li, Chuan, Chen, Huan, Lv, Yue-Bin, Shi, Xiao-Ming, and Mao, Chen
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- 2024
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3. High Fatty Acid-Binding Protein 4 Expression Associated with Favorable Clinical Characteristics and Prognosis in Papillary Thyroid Carcinoma
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Cheng, Chao-Wen, Fang, Wen-Fang, Yang, Yea-Mey, and Lin, Jiunn-Diann
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- 2024
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4. Expansion of the Workspace of Eye-in-hand Industrial Robots for Robust Hybrid Vision/force Control
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Ahmadi, Bahar, Xie, Wen-Fang, and Zakeri, Ehsan
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- 2024
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5. A comparative study of postadrenalectomy hyperuricemia and renal impairment in patients with unilateral primary aldosteronism: does histopathology subtype matter?
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Chu-Wen Fang, Hui-Lung Hsieh, Shuo-Meng Wang, Kuo-How Huang, Kang-Yung Peng, Yen-Hung Lin, Vin-Cent Wu, and Jeff S. Chueh
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Adrenalectomy ,Hyperuricemia ,Renal impairment ,Primary aldosteronism ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Abstract Background Primary aldosteronism (PA), which is present in 5–18% of hypertensive patients, is a leading cause of secondary hypertension. Adrenalectomy is often recommended for patients with unilateral primary aldosteronism (uPA), yielding good long-term outcomes. PA patients without hyperuricemia and chronic renal failure before adrenalectomy were enrolled in this cohort study. Serum uric acid (SUA) and renal filtration were measured one year post-adrenalectomy. Their relationships with pathologic features, histopathological subtype (classical or nonclassical (HISTALDO consensus)), and vessel stiffness were explored. The aim of this cohort study is to evaluate the correlation between post-adrenalectomy serum uric acid (SUA) levels and estimated glomerular filtration rate (eGFR) with the pathologic features delineated by the HISTALDO consensus. Additionally, the study seeks to assess the impact of these biochemical markers on peripheral vessel stiffness and brachial-ankle pulse wave velocity (baPWV) at a one-year follow-up visit. Methods This prospective cohort study included patients (N = 100) diagnosed with uPA who underwent adrenalectomy from Jan 1, 2007 to Dec 31, 2022. Results At follow-up, elevated SUA, hyperuricemia, and a > 25% eGFR decrease were significantly more common in the classical than the nonclassical group. The incidence of postoperative hyperuricemia, herein referred to as post-adrenalectomy hyperuricemia (PAHU), was 29% (29/100) overall, 34.8% (23/66) in the classical group and 17.6% (6/34) in the nonclassical group. The incidence of eGFR reduction > 25% was 33% (33/100), 43.9% (29/66), and 11.8% (4/34), respectively. baPWV decreased more in the classical group than the nonclassical group. Conclusion For PA patients with PAHU and/or renal impairment, we suggest monitoring SUA, pH, urine uric acid, and urine crystals and performing a KUB study and peripheral vascular and renal sonography (on which pure uric acid stones in the KUB are radiolucent) to determine whether drug intervention is required for cases of asymptomatic PAHU, especially patients in male gender, classical histopathology, or renal impairment.
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- 2024
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6. Preparation and properties of rGO@Al2O3 filled thermal conductive silicon gel
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WEN Fang, WANG Liangwang, LI Shuang, GUO Huachao, and LIU Bin
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graphene ,composite material ,filling ,thermal conductive ,silicon gel ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The high thermal conductivity of graphene shows great potential in the thermal management of electronic systems. Spherical Al2O3 was modified by polydiallyl dimethyl ammonium chloride (PDDA) to make the surface of Al2O3 positively charged, and then combined with negatively charged graphene oxide through electrostatic assembly. After high temperature thermal reduction, rGO@Al2O3 hybrid filler was obtained, and the hybrid filler was filled into the two-component silicone rubber. The thermal silicon gel enhanced by rGO@Al2O3 was further prepared. Then, the morphology and structure of the material during the preparation process were characterized by AFM, SEM, Raman, XRD, etc., and the thermal conductivity and mechanical properties of thermal silicon gel were tested and analyzed. The thermal conductivity of thermal silicon gel which filled with rGO@Al2O3 prepared by 2% (mass fraction)GO is 0.817 W/(m·K). Compared with the thermal conductive silicon gel filled with pure Al2O3, the thermal conductivity of rGO@Al2O3 silicon gel has been greatly improved.
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- 2024
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7. Neonatal outcomes in infants conceived using assisted reproductive technologies: A single medical center cohort study
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Yen-Jhih Liao, Nai-Wen Fang, Cai-Sin Yao, Jenn-Tzong Chang, and Hsiao-Ping Wang
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Pediatrics ,RJ1-570 - Abstract
Background: A significant rise in the use of assisted reproductive technology (ART) has been observed, but concerns about its impact on neonatal outcomes have been considered. The aim of this retrospective cohort study is to determine the association between ART and the risk of neonatal complications and congenital anomalies within a recent time period. Methods: This retrospective study enrolled infants born after 20 weeks of gestation at a tertiary hospital in Taiwan between January 2019 and December 2021. The study population was divided into two groups: (1) ART pregnancy group and (2) natural pregnancy group. Maternal and neonatal characteristics, pregnancy complications, and neonatal outcomes were compared between the two groups. Multivariate logistic regression was used to adjust for maternal characteristics, preexisting maternal conditions, pregnancy complications, delivery methods, and infant characteristics. Results: This study enrolled 1770 infants comprising 289 in the ART pregnancy group and 1481 in the natural pregnancy group. The ART pregnancy group showed higher rates of multiple births, preterm births, low birth weights, and longer hospitalization periods. In the stratified analyses that were conducted on singleton births, no significant difference was observed. In the case of multiple births, lower rates of preterm birth, low birth weight, and respiratory support were observed in the ART pregnancy group. After adjusting for maternal and infant characteristics, ART was not considered a significant risk factor for adverse neonatal outcomes, including mortality, complications, and congenital anomalies. Conclusion: Although ART pregnancies were more likely to result in multiple births and furthermore adverse outcomes, ART itself was not associated with an increased risk of poor neonatal outcomes. By implementing measures to control the number of implanted embryos, ensuring appropriate prenatal screening, and providing comprehensive postnatal care, the risks associated with increased multiple pregnancies caused by ART may be reduced.
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- 2024
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8. Association between dietary diversity changes and frailty among Chinese older adults: findings from a nationwide cohort study
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Wang, Xiao-Meng, Zhong, Wen-Fang, Zhang, Yi-Tian, Xiang, Jia-Xuan, Chen, Huan, Li, Zhi-Hao, Shen, Qiao-Qiao, Shen, Dong, Song, Wei-Qi, Fu, Qi, Gao, Jian, Chen, Zi-Ting, Li, Chuan, Xie, Jia-Hao, Liu, Dan, Lv, Yue-Bin, Shi, Xiao-Ming, and Mao, Chen
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- 2024
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9. A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma
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Huang, Kang-Bo, Gui, Cheng-Peng, Xu, Yun-Ze, Li, Xue-Song, Zhao, Hong-Wei, Cao, Jia-Zheng, Chen, Yu-Hang, Pan, Yi-Hui, Liao, Bing, Cao, Yun, Zhang, Xin-Ke, Han, Hui, Zhou, Fang-Jian, Liu, Ran-Yi, Chen, Wen-Fang, Jiang, Ze-Ying, Feng, Zi-Hao, Jiang, Fu-Neng, Yu, Yan-Fei, Xiong, Sheng-Wei, Han, Guan-Peng, Tang, Qi, Ouyang, Kui, Qu, Gui-Mei, Wu, Ji-Tao, Cao, Ming, Dong, Bai-Jun, Huang, Yi-Ran, Zhang, Jin, Li, Cai-Xia, Li, Pei-Xing, Chen, Wei, Zhong, Wei-De, Guo, Jian-Ping, Liu, Zhi-Ping, Hsieh, Jer-Tsong, Xie, Dan, Cai, Mu-Yan, Xue, Wei, Wei, Jin-Huan, and Luo, Jun-Hang
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- 2024
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10. Characterization of tumoricidal activities mediated by a novel immune cell regimen composing interferon-producing killer dendritic cells and tumor-specific cytotoxic T lymphocytes
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Fang, Chih-Hao, Cheng, Wen-Fang, Cheng, Ya-Fang, Lan, Keng-Li, and Lee, Jan-Mou
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- 2024
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11. A novel ferroptosis-related gene signature for overall survival prediction in patients with gastric cancer
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Wen, Fang, Zhao, Fan, Huang, Wenjie, Liang, Yan, Sun, Ruolan, Lin, Yize, and Zhang, Weihua
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- 2024
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12. Association of changes in waist circumference, waist-to-height ratio and weight-adjusted-waist index with multimorbidity among older Chinese adults: results from the Chinese longitudinal healthy longevity survey (CLHLS)
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Chen, Zi-Ting, Wang, Xiao-Meng, Zhong, Yi-Shi, Zhong, Wen-Fang, Song, Wei-Qi, and Wu, Xian-Bo
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- 2024
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13. Microstructure and Mechanical Property Changes of P92 Steel for Main Steam Pipe in Ultra-supercritical Power Plant After Long-Term Service at High Temperature
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Yong, Li, Jiaqing, Wang, Junjian, Liu, Yue, Wu, and Wen, Fang
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- 2024
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14. Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks
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Feng, Bo-Jing, Cheng, Xi, Xu, Hao-Nan, and Xue, Wen-Fang
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- 2024
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15. A novel image deep learning–based sub-centimeter pulmonary nodule management algorithm to expedite resection of the malignant and avoid over-diagnosis of the benign
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Yang, Xiongwen, Chu, Xiang-Peng, Huang, Shaohong, Xiao, Yi, Li, Dantong, Su, Xiaoyang, Qi, Yi-fan, Qiu, Zhen-bin, Wang, Yanqing, Tang, Wen-Fang, Wu, Yi-Long, Zhu, Qikui, Liang, Huiying, and Zhong, Wen-Zhao
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- 2024
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16. Parameter constraints from shadows of Kerr-Newman-dS black holes with cloud strings and quintessence
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Cao, Wen-Fu, Liu, Wen-Fang, and Wu, Xin
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General Relativity and Quantum Cosmology - Abstract
The motion of photons around the Kerr-Newman-dS black hole surrounded by quintessence and a cloud of strings is investigated. The existence of the Carter constant leads to that of unstable circular photon orbits on a two-dimensional plane not limited to the equatorial plane and unstable spherical photon orbits in the three-dimensional space. These circular or spherical photon orbits can determine two impact parameters, which are used to calculate black hole shadows. For the case of a spherically symmetric nonrotating black hole, the black hole shadow is circular and its size is independent of an observation angle and a plane on which a circular photon orbit exists. The shadow sizes are significantly influenced by the parameters involving the cloud of strings, quintessence parameter, magnitude of quintessential state parameter, and cosmological constant. When the black hole is spinning and axially symmetric, the black hole shadow is dependent on the observation angle. The effects of the parameters excluding the spin parameter on the sizes of black hole shadows in the rotating case are similar to those in the nonrotating case. Based on the Event Horizon Telescope observations of M87*, the constraint of the curvature radius is used to constrain these parameters. For slowly rotating black holes, the allowed regions of the parameters including the cosmological constant are given., Comment: 30 pages, 10 figures
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- 2023
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17. Association between dietary diversity changes and frailty among Chinese older adults: findings from a nationwide cohort study
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Xiao-Meng Wang, Wen-Fang Zhong, Yi-Tian Zhang, Jia-Xuan Xiang, Huan Chen, Zhi-Hao Li, Qiao-Qiao Shen, Dong Shen, Wei-Qi Song, Qi Fu, Jian Gao, Zi-Ting Chen, Chuan Li, Jia-Hao Xie, Dan Liu, Yue-Bin Lv, Xiao-Ming Shi, and Chen Mao
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Frailty ,Dietary diversity changes ,Older adults ,Cohort study ,Nutrition. Foods and food supply ,TX341-641 ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background Dietary diversity has been suggested as a potential preventive measure against frailty in older adults, but the effect of changes in dietary diversity on frailty is unclear. This study was conducted to examine the association between the dietary diversity score (DDS) and frailty among older Chinese adults. Methods A total of 12,457 adults aged 65 years or older were enrolled from three consecutive and nonoverlapping cohorts from the Chinese Longitudinal Healthy Longevity Survey (the 2002 cohort, the 2005 cohort, and the 2008 cohort). DDS was calculated based on nine predefined food groups, and DDS changes were assessed by comparing scores at baseline and the first follow-up survey. We used 39 self-reported health items to assess frailty. Cox proportional hazard models were performed to examine the association between DDS change patterns and frailty. Results Participants with low-to-low DDS had the highest frailty incidence (111.1/1000 person-years), while high-to-high DDS had the lowest (41.1/1000 person-years). Compared to the high-to-high group of overall DDS pattern, participants in other DDS change patterns had a higher risk of frailty (HRs ranged from 1.25 to 2.15). Similar associations were observed for plant-based and animal-based DDS. Compared to stable DDS changes, participants with an extreme decline in DDS had an increased risk of frailty, with HRs of 1.38 (1.24, 1.53), 1.31 (1.19, 1.44), and 1.29 (1.16, 1.43) for overall, plant-based, and animal-based DDS, respectively. Conclusions Maintaining a lower DDS or having a large reduction in DDS was associated with a higher risk of frailty among Chinese older adults. These findings highlight the importance of improving a diverse diet across old age for preventing frailty in later life.
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- 2024
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18. Uropathogens and clinical manifestations of pyuria-negative urinary tract infections in young infants: A single center cross-sectional study
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Li-Sang Hsu, Ing Chen, Cai-Sin Yao, Yu-Shan Huang, Jenn-Tzong Chang, Hsiao-Ping Wang, and Nai-Wen Fang
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Urinary tract infections ,Pyuria ,Young infant fever ,Microbiology ,QR1-502 - Abstract
Background: Urine leukocyte count under microscopy is one of the most frequently used routine screening tests for urinary tract infection (UTI). Nevertheless, it is observed that pyuria is lacking in 10-25% of children with UTI. This study aims to determine the factors related to pyuria-negative UTI in young infants aged under four months old. Method: This retrospective cross-sectional study was conducted on 157 patients aged under 4 months old with UTI. All subjects had paired urinalysis and urine culture, which were collected via transurethral catheterization. According to the results of their urinalysis, the patients were then classified as UTI cases with pyuria and UTI cases without pyuria. The clinical characteristics and outcomes of both groups were analyzed. Result: Among the 157 UTI patients, the prevalence of pyuria-negative UTI was 44%. Significant risk factors associated with pyuria-negative UTI included non-E.coli pathogens, younger age, shorter duration of fever prior to hospital visit, lower white blood cell (WBC) count upon hospital visit, and absence of microscopic hematuria. Conclusions: We found that non-E.coli uropathogens were the strongest factor related to pyuria-negative UTI. The absence of pyuria cannot exclude the diagnosis of UTI in young infants, and it’s reasonable to perform both urinalysis and urine culture as a part of the assessment of febrile or ill-looking young infants.
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- 2024
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19. An ensemble machine learning model to uncover potential sites of hazardous waste illegal dumping based on limited supervision experience
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Jinghua Geng, Yimeng Ding, Wenjun Xie, Wen Fang, Miaomiao Liu, Zongwei Ma, Jianxun Yang, and Jun Bi
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Hazardous waste ,Illegal dumping site ,Positive-unlabeled machine learning ,Probability prediction ,Model interpretation ,Science (General) ,Q1-390 - Abstract
With the soaring generation of hazardous waste (HW) during industrialization and urbanization, HW illegal dumping continues to be an intractable global issue. Particularly in developing regions with lax regulations, it has become a major source of soil and groundwater contamination. One dominant challenge for HW illegal dumping supervision is the invisibility of dumping sites, which makes HW illegal dumping difficult to be found, thereby causing a long-term adverse impact on the environment. How to utilize the limited historic supervision records to screen the potential dumping sites in the whole region is a key challenge to be addressed. In this study, a novel machine learning model based on the positive-unlabeled (PU) learning algorithm was proposed to resolve this problem through the ensemble method which could iteratively mine the features of limited historic cases. Validation of the random forest-based PU model showed that the predicted top 30% of high-risk areas could cover 68.1% of newly reported cases in the studied region, indicating the reliability of the model prediction. This novel framework will also be promising in other environmental management scenarios to deal with numerous unknown samples based on limited prior experience.
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- 2024
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20. Association between atherogenic index of plasma and all-cause mortality and specific-mortality: a nationwide population‑based cohort study
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Fang-Fei You, Jian Gao, Yi-Ning Gao, Zhi-Hao Li, Dong Shen, Wen-Fang Zhong, Jin Yang, Xiao-Meng Wang, Wei-Qi Song, Hao Yan, Hao-Yu Yan, Jia-Hao Xie, Huan Chen, and Chen Mao
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Atherogenic index of plasma ,all-cause mortality ,Specific mortality ,NHANES ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Atherogenic index of plasma (AIP), a marker of atherosclerosis and cardiovascular disease (CVD). However, few studies have investigated association between AIP and all-cause mortality and specific-mortality in the general population. Methods This study included data from 14,063 American adults. The exposure variable was the AIP, which was defined as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included all-cause mortality and specific-mortality. Survey-weighted cox regressions were performed to evaluate the relation between AIP and all-cause mortality and specific-mortality. Weighted restricted cubic spline was conducted to examin the non-linear relationship. Results During 10 years of follow-up, we documented 2,077, 262, 854, and 476 cases of all-cause mortality, diabetes mortality, CVD mortality and cancer mortality, respectively. After adjustment for potential confounders, we found that atherogenic index of plasma (AIP) was significantly associated with an increased risk of diabetes mortality when comparing the highest to the lowest quantile of AIP in female (p for trend = 0.001) or participants older than 65 years (p for trend = 0.002). AIP was not significantly associated with all-cause mortality, CVD mortality and cancer mortality (p > 0.05). Moreover, a non-linear association was observed between AIP and all-cause mortality in a U-shape (p for non-linear = 0.0011), while a linear relationship was observed with diabetes mortality and non-diabetes mortality (p for linear
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- 2024
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21. A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma
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Kang-Bo Huang, Cheng-Peng Gui, Yun-Ze Xu, Xue-Song Li, Hong-Wei Zhao, Jia-Zheng Cao, Yu-Hang Chen, Yi-Hui Pan, Bing Liao, Yun Cao, Xin-Ke Zhang, Hui Han, Fang-Jian Zhou, Ran-Yi Liu, Wen-Fang Chen, Ze-Ying Jiang, Zi-Hao Feng, Fu-Neng Jiang, Yan-Fei Yu, Sheng-Wei Xiong, Guan-Peng Han, Qi Tang, Kui Ouyang, Gui-Mei Qu, Ji-Tao Wu, Ming Cao, Bai-Jun Dong, Yi-Ran Huang, Jin Zhang, Cai-Xia Li, Pei-Xing Li, Wei Chen, Wei-De Zhong, Jian-Ping Guo, Zhi-Ping Liu, Jer-Tsong Hsieh, Dan Xie, Mu-Yan Cai, Wei Xue, Jin-Huan Wei, and Jun-Hang Luo
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Science - Abstract
Abstract Integrating genomics and histology for cancer prognosis demonstrates promise. Here, we develop a multi-classifier system integrating a lncRNA-based classifier, a deep learning whole-slide-image-based classifier, and a clinicopathological classifier to accurately predict post-surgery localized (stage I–III) papillary renal cell carcinoma (pRCC) recurrence. The multi-classifier system demonstrates significantly higher predictive accuracy for recurrence-free survival (RFS) compared to the three single classifiers alone in the training set and in both validation sets (C-index 0.831-0.858 vs. 0.642-0.777, p
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- 2024
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22. A new diagnostic technique for identifying Angiostrongylus spp. larvae in intermediate snail species by examining the buccal cavity
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Yong-bo Zhao, Ling Jiang, Wen Fang, Shao-rong Chen, Yu-hua Liu, Shen-hua Zhao, Peter S. Andrus, Tian-mei Li, and Yun-hai Guo
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Angiostrongylus cantonensis ,Snail vectors ,Lungworm detection ,Gastropod-borne disease ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Angiostrongyliasis is a zoonotic parasitic disease caused by the rat lungworm Angiostrongylus cantonensis. The intermediate hosts of A. cantonensis are gastropods, and snail species such as Pomacea canaliculata play a key role in the transmission of human angiostrongyliasis. Detecting A. cantonensis infection in snails is an important component of epidemiological surveillance and the control of angiostrongyliasis. Methods In this study, a new method for diagnosing A. cantonensis infection in gastropods was developed by recovering larvae from the buccal cavity of three snail species. The entire buccal cavity of a snail was extracted, and the tissue was pressed between two microscope slides to observe whether A. cantonensis larvae were present. Our new method was compared with traditional pathogenic detection methods of lung microscopy, tissue homogenization, and artificial digestion. We artificially infected 160 P. canaliculata, 160 Cipangopaludina chinensis, and 160 Bellamya aeruginosa snails with A. cantonensis. Then, the four different detection methods were used to diagnose infection in each snail species at 7, 14, 21, and 28 days post exposure. Results We found no significant difference in the percentages of infected P. canaliculata snails using the four methods to detect A. cantonensis larvae. The radula pressing method had a mean detection rate of 80%, while the lung microscopy (81.3%), tissue homogenization (83.8%), and artificial digestion (85%) methods had slightly greater detection rates. Similarly, the percentages of infected C. chinensis snails that were detected using the radula pressing (80%), tissue homogenization (82.1%), and artificial digestion (83.8%) methods were not significantly different. Finally, the percentages of infected B. aeruginosa snails that were detected using the radula pressing (81.3%), tissue homogenization (81.9%), and artificial digestion (81.4%) methods were not significantly different. These results showed that the radula pressing method had a similar detection rate to traditional lung microscopy, tissue homogenization, or artificial digestion methods. Conclusions This study demonstrates a new method for the qualitative screening of gastropods that act as intermediate hosts of A. cantonensis (and other Angiostrongylus species), provides technical support for the control of human angiostrongyliasis, and furthers research on A. cantonensis. Graphical Abstract
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- 2024
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23. Data-driven approaches linking wastewater and source estimation hazardous waste for environmental management
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Wenjun Xie, Qingyuan Yu, Wen Fang, Xiaoge Zhang, Jinghua Geng, Jiayi Tang, Wenfei Jing, Miaomiao Liu, Zongwei Ma, Jianxun Yang, and Jun Bi
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Science - Abstract
Abstract Industrial enterprises are major sources of contaminants, making their regulation vital for sustainable development. Tracking contaminant generation at the firm-level is challenging due to enterprise heterogeneity and the lack of a universal estimation method. This study addresses the issue by focusing on hazardous waste (HW), which is difficult to monitor automatically. We developed a data-driven methodology to predict HW generation using wastewater big data which is grounded in the availability of this data with widespread application of automatic sensors and the logical assumption that a correlation exists between wastewater and HW generation. We created a generic framework that used representative variables from diverse sectors, exploited a data-balance algorithm to address long-tail data distribution, and incorporated causal discovery to screen features and improve computation efficiency. Our method was tested on 1024 enterprises across 10 sectors in Jiangsu, China, demonstrating high fidelity (R² = 0.87) in predicting HW generation with 4,260,593 daily wastewater data.
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- 2024
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24. Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life
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Xiao-Qing Ren, Gong-Ming Zhao, Shuo-Wen Fang, Ling-Feng Xu, Li-Dan Wang, Lin-Hai Zhao, and Man-Man Lu
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Sleep quality ,ADL ,Depression ,HRQOL ,Loneliness ,Moderated mediation model ,Medicine ,Science - Abstract
Abstract This study aimed to explore the mediating effects of ADL and depression on the relationship between sleep quality and HRQOL among older people in rural China, while also exploring the moderating impact of loneliness. The study gathered data from a household survey conducted among 1587 Chinese rural older adults (mean age = 73.63 years). The collected data was analyzed using SPSS version 23.0 software (IBM, New York, USA) and the PROCESS macro version 4.0 program. The findings indicated a significant correlation between sleep quality, ADL, depression, loneliness and HRQOL. ADL and depression exhibited a chain mediation effect on the relationship between sleep quality and HRQOL. Notably, the association between sleep quality and HRQOL was entirely mediated by ADL and depression. Additionally, loneliness acted as a moderator in the relationship between ADL and HRQOL. The findings of this study suggest that interventions focusing on sleep quality should prioritize strategies for enhancing older adults’ ADL and depression as integral components of promoting older adults’ HRQOL.
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- 2024
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25. Study of chaos in rotating galaxies using extended force-gradient symplectic methods
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Zhang, Li-Na, Liu, Wen-Fang, and Wu, Xin
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Physics - Computational Physics ,Astrophysics - Astrophysics of Galaxies ,Nonlinear Sciences - Chaotic Dynamics - Abstract
We take into account the dynamics of three types of models of rotating galaxies in polar coordinates in a rotating frame. Due to non-axisymmetric potential perturbations, the angular momentum varies with time, and the kinetic energy depends on the momenta and spatial coordinate. The existing explicit force-gradient symplectic integrators are not applicable to such Hamiltonian problems, but the recently extended force-gradient symplectic methods proposed in a previous work are. Numerical comparisons show that the extended force-gradient fourth-order symplectic method with symmetry is superior to the standard fourth-order symplectic method but inferior to the optimized extended force-gradient fourth-order symplectic method in accuracy. The optimized extended algorithm with symmetry is used to explore the dynamical features of regular and chaotic orbits in these rotating galaxy models. The gravity effects and the degree of chaos increase with an increase of the number of the radial terms in the series expansions of the potential. There are similar dynamical structures of regular and chaotical orbits in the three types of models for the same number of the radial terms in the series expansions, energy and initial conditions., Comment: 15 pages, 11 figures
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- 2023
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26. MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
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Zhang, Bowen, Qi, Chenyang, Zhang, Pan, Zhang, Bo, Wu, HsiangTao, Chen, Dong, Chen, Qifeng, Wang, Yong, and Wen, Fang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we claim that dense landmarks are crucial to achieving accurate geometry-aware flow fields. Second, inspired by face-swapping methods, we adaptively fuse the source identity during synthesis, so that the network better preserves the key characteristics of the image portrait. Although the proposed model surpasses prior generation fidelity on established benchmarks, to further make the talking head generation qualified for real usage, personalized fine-tuning is usually needed. However, this process is rather computationally demanding that is unaffordable to standard users. To solve this, we propose a fast adaptation model using a meta-learning approach. The learned model can be adapted to a high-quality personalized model as fast as 30 seconds. Last but not the least, a spatial-temporal enhancement module is proposed to improve the fine details while ensuring temporal coherency. Extensive experiments prove the significant superiority of our approach over the state of the arts in both one-shot and personalized settings., Comment: CVPR 2023, project page: https://meta-portrait.github.io
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- 2022
27. CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
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Dong, Xiaoyi, Bao, Jianmin, Zhang, Ting, Chen, Dongdong, Gu, Shuyang, Zhang, Weiming, Yuan, Lu, Chen, Dong, Wen, Fang, and Yu, Nenghai
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Recent studies have shown that CLIP has achieved remarkable success in performing zero-shot inference while its fine-tuning performance is not satisfactory. In this paper, we identify that fine-tuning performance is significantly impacted by hyper-parameter choices. We examine various key hyper-parameters and empirically evaluate their impact in fine-tuning CLIP for classification tasks through a comprehensive study. We find that the fine-tuning performance of CLIP is substantially underestimated. Equipped with hyper-parameter refinement, we demonstrate CLIP itself is better or at least competitive in fine-tuning compared with large-scale supervised pre-training approaches or latest works that use CLIP as prediction targets in Masked Image Modeling. Specifically, CLIP ViT-Base/16 and CLIP ViT-Large/14 can achieve 85.7%,88.0% finetuning Top-1 accuracy on the ImageNet-1K dataset . These observations challenge the conventional conclusion that CLIP is not suitable for fine-tuning, and motivate us to rethink recently proposed improvements based on CLIP. We will release our code publicly at \url{https://github.com/LightDXY/FT-CLIP}., Comment: Technical Report, code will be available at https://github.com/LightDXY/FT-CLIP
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- 2022
28. Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
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Wang, Tengfei, Zhang, Bo, Zhang, Ting, Gu, Shuyang, Bao, Jianmin, Baltrusaitis, Tadas, Shen, Jingjing, Chen, Dong, Wen, Fang, Chen, Qifeng, and Guo, Baining
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Computer Science - Computer Vision and Pattern Recognition - Abstract
This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields. A significant challenge in generating such avatars is that the memory and processing costs in 3D are prohibitive for producing the rich details required for high-quality avatars. To tackle this problem we propose the roll-out diffusion network (Rodin), which represents a neural radiance field as multiple 2D feature maps and rolls out these maps into a single 2D feature plane within which we perform 3D-aware diffusion. The Rodin model brings the much-needed computational efficiency while preserving the integrity of diffusion in 3D by using 3D-aware convolution that attends to projected features in the 2D feature plane according to their original relationship in 3D. We also use latent conditioning to orchestrate the feature generation for global coherence, leading to high-fidelity avatars and enabling their semantic editing based on text prompts. Finally, we use hierarchical synthesis to further enhance details. The 3D avatars generated by our model compare favorably with those produced by existing generative techniques. We can generate highly detailed avatars with realistic hairstyles and facial hair like beards. We also demonstrate 3D avatar generation from image or text as well as text-guided editability., Comment: Project Webpage: https://3d-avatar-diffusion.microsoft.com/
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- 2022
29. X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
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Zhao, Hanqing, Sheng, Dianmo, Bao, Jianmin, Chen, Dongdong, Chen, Dong, Wen, Fang, Yuan, Lu, Liu, Ce, Zhou, Wenbo, Chu, Qi, Zhang, Weiming, and Yu, Nenghai
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Copy-Paste is a simple and effective data augmentation strategy for instance segmentation. By randomly pasting object instances onto new background images, it creates new training data for free and significantly boosts the segmentation performance, especially for rare object categories. Although diverse, high-quality object instances used in Copy-Paste result in more performance gain, previous works utilize object instances either from human-annotated instance segmentation datasets or rendered from 3D object models, and both approaches are too expensive to scale up to obtain good diversity. In this paper, we revisit Copy-Paste at scale with the power of newly emerged zero-shot recognition models (e.g., CLIP) and text2image models (e.g., StableDiffusion). We demonstrate for the first time that using a text2image model to generate images or zero-shot recognition model to filter noisily crawled images for different object categories is a feasible way to make Copy-Paste truly scalable. To make such success happen, we design a data acquisition and processing framework, dubbed ``X-Paste", upon which a systematic study is conducted. On the LVIS dataset, X-Paste provides impressive improvements over the strong baseline CenterNet2 with Swin-L as the backbone. Specifically, it archives +2.6 box AP and +2.1 mask AP gains on all classes and even more significant gains with +6.8 box AP, +6.5 mask AP on long-tail classes. Our code and models are available at https://github.com/yoctta/XPaste., Comment: ICML 2023, code is available at https://github.com/yoctta/XPaste
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- 2022
30. Understanding the Relationship Between Adverse Medication Use and Falls Among Older Patients Receiving Home Medical Care: OHCARE study
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Naoko Murakami MHSc, Mai Kabayama PhD, Tomoko Yano PhD, Chika Nakamura MHSc, Yuka Fukata MHSc, Chihiro Morioka MHSc, Wen Fang PhD, Yumiko Nako MHSc, Yuki Omichi MHSc, Eriko Koujiya PhD, Kayo Godai PhD, Michiko Kido MHSc, Winston Tseng PhD, Toshinori Nakamura MD, PhD, Atsushi Hirotani MD, PhD, Toshio Fukuda MD, Michio Tamatani MD, PhD, Yoshinari Okuda MD, PhD, Masashi Ikushima MD, PhD, Yoshichika Baba MD, PhD, Masahiro Nagano MD, PhD, Yukio Nakamura MD, Hiromi Rakugi MD, PhD, and Kei Kamide MD, PhD
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Geriatrics ,RC952-954.6 - Abstract
Objective: Previous studies suggest older patients with multiple health conditions and medications may experience adverse interactions, leading to negative outcomes. However, there’s limited research on this in older adults receiving home medical care. This study assesses whether polypharmacy is linked to falls or other clinical outcomes. Methods: The study population included 217 participants, aged ≥65 years, receiving home medical care, who consented to participate in the Osaka Home Care Registry (OHCARE) study in Japan. The survey examined the association between polypharmacy and clinical outcomes. We defined “polypharmacy” as six or more medications taken regularly. Results: Of the participants, 135 (62.6%) had polypharmacy and were significantly more likely to have hypertension or diabetes. Common medications included those for hypertension, diabetes, and mental disorders. Participants with polypharmacy experienced significantly more falls. Multivariate analysis showed an association between polypharmacy and falls (odds ratio: 2.81, 95% confidence interval [1.34, 5.92]). Conclusion: Even in older patients receiving home health care, the use of six or more medications poses a risk of falls. Careful observations and life support by medical stuffs are necessary to prevent falls in older patients with polypharmacy receiving home medical care.
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- 2024
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31. A comprehensive risk assessment of microplastics in soil, water, and atmosphere: Implications for human health and environmental safety
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Yuyao Wang, Yuanrong Zhu, Guanghui Guo, Lihui An, Wen Fang, Yidan Tan, Juan Jiang, Xiaojie Bing, Qingshuai Song, Qihao Zhou, and Zhongqi He
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Microplastics ,Chemical composition ,Risk assessment ,Migration and transformation ,Human health ,Environmental pollution ,TD172-193.5 ,Environmental sciences ,GE1-350 - Abstract
Microplastics (MPs) are pervasive across ecosystems, likely posing significant environmental and health risks based on more and more evidence. In this study, we searched through the Web of Science Core Collection and obtained 1039 papers for visualization and analysis. In order to discuss the chemical composition, migration, transformation and potential risk of MPs, 135 sets of relevant data in soil, water, and atmosphere were collected in China as a typical region, which is a hotspot region for investigation of MPs. The results showed that the primary polymer categories of MPs in the environment to be polypropylene, polyethylene, and polystyrene. The soil contains a significant quantity of MPs, averaging at 12,107.42 items·kgdw−1, while water contains averaging at 97,271.18 items m−3. The total pollution load indexes for all three environments are at risk level I. Based on current risk assessment methods, the potential ecological risk of MPs is low. However, based on the polymer components, migration and transformation patterns, and especially the complexes with other pollutants, it indicates an increasing indirect risk. Interactions with some other pollutants are likely amplify the ecological and health risks associated with MPs. Aggregative results showed that the present risk assessment models could not assess the risks of MPs well. Thus, we suggested develop a risk assessment methodology for MPs based on relevant research progress. Some factors such as the size and form of MPs, sources and distribution, bioaccumulation, social acceptance and economic costs could be considered adding in the present risk assessment models. Finally, promotion of development and application of green chemically synthesized bioplastics such as using synthetic biology to help degrade plastics would be an alternative and sustainable option to relieve the adverse environmental and health concerns of MPs.
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- 2024
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32. Deep neural network-based robotic visual servoing for satellite target tracking
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Shayan Ghiasvand, Wen-Fang Xie, and Abolfazl Mohebbi
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visual servoing ,robot vision systems ,deep neural networks ,deep learning ,pose estimation ,Mechanical engineering and machinery ,TJ1-1570 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
In response to the costly and error-prone manual satellite tracking on the International Space Station (ISS), this paper presents a deep neural network (DNN)-based robotic visual servoing solution to the automated tracking operation. This innovative approach directly addresses the critical issue of motion decoupling, which poses a significant challenge in current image moment-based visual servoing. The proposed method uses DNNs to estimate the manipulator’s pose, resulting in a significant reduction of coupling effects, which enhances control performance and increases tracking precision. Real-time experimental tests are carried out using a 6-DOF Denso manipulator equipped with an RGB camera and an object, mimicking the targeting pin. The test results demonstrate a 32.04% reduction in pose error and a 21.67% improvement in velocity precision compared to conventional methods. These findings demonstrate that the method has the potential to improve efficiency and accuracy significantly in satellite target tracking and capturing.
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- 2024
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33. Evaluation of AI-enhanced non-mydriatic fundus photography for diabetic retinopathy screening
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Chen-Liang Hu, Yu-Chan Wang, Wen-Fang Wu, and Yu Xi
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Artificial intelligence ,Diabetic retinopathy ,Fundus angiography ,Fundus reading ,Non-mydriatic fundus photography ,Screening ,Medicine (General) ,R5-920 - Abstract
Objective: To assess the feasibility of using non-mydriatic fundus photography in conjunction with an artificial intelligence (AI) reading platform for large-scale screening of diabetic retinopathy (DR). Methods: In this study, we selected 120 patients with diabetes hospitalized in our institution from December 2019 to April 2021. Retinal imaging of 240 eyes was obtained using non-mydriatic fundus photography. The fundus images of these patients were divided into two groups based on different interpretation methods. In Experiment Group 1, the images were analyzed and graded for DR diagnosis using an AI reading platform. In Experiment Group 2, the images were analyzed and graded for DR diagnosis by an associate chief physician in ophthalmology, specializing in fundus diseases. Concurrently, all patients underwent the gold standard for DR diagnosis and grading—fundus fluorescein angiography (FFA)—with the outcomes serving as the Control Group. The diagnostic value of the two methods was assessed by comparing the results of Experiment Groups 1 and 2 with those of the Control Group. Results: Keeping the control group (FFA results) as the gold standard, no significant differences were observed between the two experimental groups regarding diagnostic sensitivity, specificity, false positive rate, false negative rate, positive predictive value, negative predictive value, Youden's index, Kappa value, and diagnostic accuracy (X2 = 0.371, P > 0.05). Conclusion: Compared with the manual reading group, the AI reading group revealed no significant differences across all diagnostic indicators, exhibiting high sensitivity and specificity, as well as a relatively high positive predictive value. Additionally, it demonstrated a high level of diagnostic consistency with the gold standard. This technology holds potential for suitability in large-scale screening of DR.
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- 2024
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34. Serum Uric Acid Levels Associated with Outcomes of Neurodegenerative Disorders and Brain Health: Findings from the UK Biobank
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Zihao Jiang, Jieyu Chen, Siqi Wu, Shuai Ji, Ying Yang, Wen Fang, Ziwei Li, Jingxin Lin, Jie Chen, Chuanghai Wu, Hiu Yee Kwan, Yigui Lai, and Xiaoshan Zhao
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Uric acid ,Stroke ,Dementia ,Parkinsonism ,UK Biobank ,Internal medicine ,RC31-1245 - Abstract
Background: The relationship between serum uric acid (SUA) levels and brain-related health remains uncertain. Objectives: This study aimed to investigate the relationship between SUA levels and some neurodegenerative disorders and brain structure. Design: A longitudinal study. Setting and participants: 384,517 participants who did not have stroke, dementia, and Parkinsonism, with complete urate testes and covariates were included. Measurements: Cox proportional hazards models, competing risk models, and restricted cubic spine models were applied. Results: During the median follow-up time of 12.7 years (interquartile range [IQR]:12.0, 13.5), 7821 (2.0%) participants developed stroke, 5103 (1.3%) participants developed dementia, and 2341 (0.6%) participants developed Parkinsonism. Nonlinear relationships were identified between SUA levels and stroke (J-shaped), dementia, and Parkinsonism (U-shaped). SUA levels of 4.2 mg/dl, 6.4 mg/dl, and 6.6 mg/dl yielded the lowest risk of stroke, dementia, and Parkinsonism, respectively. Besides, we found high SUA levels reduced the volumes of total brain, grey matter, white matter, grey matter in the hippocampus, and hippocampus, but increased lateral-ventricle volume. Inflammation accounted for 9.1% and 10.0% in the association of SUA with stroke and lateral-ventricle volume. Conclusions: Lower SUA levels increased the risk of Parkinsonism, while both lower and higher SUA levels were positively associated with increased risk of stroke and dementia. Moreover, high SUA levels reduced brain structure volumes. Our findings suggest the association between SUA levels and brain-related disorders and highlight the importance of SUA management.
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- 2024
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35. YTHDF3 modulates the progression of breast cancer cells by regulating FGF2 through m6A methylation
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R. F. Gong, Z. H. Zhang, T. T. Sun, Y. X. Zhao, and Wen Fang
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breast caner ,N6-methyladenosine ,YTHDF3 ,FGF2 ,epigenetics ,Biology (General) ,QH301-705.5 - Abstract
IntroductionBreast cancer (BC) is a prevailing malignancy among women, and its inconspicuous development contributes significantly to mortality. The RNA N6-methyladenosine (m6A) modification represents an emerging mechanism for gene expression regulation, with the active involvement of the YTH N6-methyladenosine RNA binding protein 3 (YTHDF3) in tumor progression across multiple cancer types. Nonetheless, its precise function in breast cancer necessitates further investigation.MethodsThe expression of YTHDF3 in both cell lines and patient tissues was examined using Western blotting, reverse transcription quantitative PCR (RT-qPCR), and immunohistochemistry (IHC) techniques. Bioinformatics analysis of methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptome RNA sequencing (RNA-seq) data was employed to screen for the target genes of YTHDF3. The main focus of this study was to investigate the in vitro biological functions of YTHDF3. The specific binding of YTHDF3 to its target genes and its correlation with m6A methylation were studied through RNA pull-down, RNA immunoprecipitation, and co-immunoprecipitation experiments. The protein regulatory mechanisms of downstream genes of YTHDF3 were assessed using protein stability analysis. Furthermore, the biological functions of YTHDF3 and its target genes in breast cancer cells were validated through CRISPR-Cas9 technology and rescue experiments.ResultsBy constructing a risk model using the TCGA database, YTHDF3 was identified as a high-risk factor among m6A methylation factors. Subsequent investigations revealed its elevated expression in various subtypes of breast cancer, accompanied by poor prognosis. MeRIP-seq analysis further revealed fibroblast growth factor 2 (FGF2) as a downstream gene of YTHDF3. Knockdown of YTHDF3 in breast cancer cells led to significant inhibition of cell self-renewal, migration, and invasion abilities in vitro. Mechanistically, YTHDF3 specifically recognized the methylated transcript of FGF2 within its coding sequence (CDS) region, leading to the inhibition of FGF2 protein degradation. Moreover, depletion of FGF2 markedly suppressed the biological functions of breast cancer cells, while reducing FGF2 expression in YTHDF3-overexpressing breast cancer cell lines substantially alleviated the malignant progression.ConclusionsIn summary, our study elucidates the role of YTHDF3 as an oncogene in maintaining FGF2 expression in BC cells through an m6A-dependent mechanism. Additionally, we provide a potential biomarker panel for prognostic prediction in BC.
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- 2024
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36. Thermal Decomposition Characteristics and Compatibility Studies on [Co(H2O)4(N5)2]·4H2O
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Zhang, Shuai, Zheng, Wen-fang, and Zhang, Laichang, editor
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- 2024
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37. Paint by Example: Exemplar-based Image Editing with Diffusion Models
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Yang, Binxin, Gu, Shuyang, Zhang, Bo, Zhang, Ting, Chen, Xuejin, Sun, Xiaoyan, Chen, Dong, and Wen, Fang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to disentangle and re-organize the source image and the exemplar. However, the naive approach will cause obvious fusing artifacts. We carefully analyze it and propose an information bottleneck and strong augmentations to avoid the trivial solution of directly copying and pasting the exemplar image. Meanwhile, to ensure the controllability of the editing process, we design an arbitrary shape mask for the exemplar image and leverage the classifier-free guidance to increase the similarity to the exemplar image. The whole framework involves a single forward of the diffusion model without any iterative optimization. We demonstrate that our method achieves an impressive performance and enables controllable editing on in-the-wild images with high fidelity., Comment: Code: https://github.com/Fantasy-Studio/Paint-by-Example
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- 2022
38. 3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
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Tang, Junshu, Zhang, Bo, Yang, Binxin, Zhang, Ting, Chen, Dong, Ma, Lizhuang, and Wen, Fang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In contrast to the traditional avatar creation pipeline which is a costly process, contemporary generative approaches directly learn the data distribution from photographs. While plenty of works extend unconditional generative models and achieve some levels of controllability, it is still challenging to ensure multi-view consistency, especially in large poses. In this work, we propose a network that generates 3D-aware portraits while being controllable according to semantic parameters regarding pose, identity, expression and illumination. Our network uses neural scene representation to model 3D-aware portraits, whose generation is guided by a parametric face model that supports explicit control. While the latent disentanglement can be further enhanced by contrasting images with partially different attributes, there still exists noticeable inconsistency in non-face areas, e.g., hair and background, when animating expressions. Wesolve this by proposing a volume blending strategy in which we form a composite output by blending dynamic and static areas, with two parts segmented from the jointly learned semantic field. Our method outperforms prior arts in extensive experiments, producing realistic portraits with vivid expression in natural lighting when viewed from free viewpoints. It also demonstrates generalization ability to real images as well as out-of-domain data, showing great promise in real applications., Comment: Project webpage: https://junshutang.github.io/control/index.html
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- 2022
39. Trajectory planning of cooperative robotic system for automated fiber placement in a leader-follower formation
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Zhu, Ningyu, Xie, Wen-Fang, and Shen, Henghua
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- 2024
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40. Metapetrocosmea serrata (Gesneriaceae), a new combination for a previous Deinostigma species from Vietnam
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Li, Peng-Wei, Le, Tuan Anh, Zhang, Qiang, and Wen, Fang
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- 2024
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41. Tetraphyllum Griff. ex C. B. Clarke, a newly recorded genus of Gesneriaceae from China
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XIONG Chi, CHEN Bin, LI Zhenglong, ZHAO Qiong, DO Van Truong, and WEN Fang
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tetraphyllum confertiflorum ,gesneriaceae ,new recorded genus ,guangxi ,china ,Botany ,QK1-989 - Abstract
Tetraphyllum Griff. ex C. B. Clarke, a newly recorded genus of Gesneriaceae from Guangxi, China is reported. Tetraphyllum has only three species. The morphological description and the distinctive features to the species of Tetraphyllum are provided, and the detailed morphological description and photos of T. confertiflorum (Drake) B. L. Burtt are provided. The voucher specimens are preserved in the Herbarium of Guangxi Institute of Botany (IBK) and Shanghai Chenshan Herbarium (CSH).
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- 2024
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42. Dual-gradient ceramic/aluminum composite structure fabricated by arc additive manufacturing with co-conveying of wire and powder
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Jian-Xin Sun, Jin Wang, Da-Xin Zeng, Wen-Fang Li, Shuo-Xun Jin, Feng Qiu, and Ping Shen
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Additive manufacturing ,aluminum matrix composites ,gradient structure ,multi-performance synergy ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
We employed a novel technique combining wire and powder co-delivery to fabricate a functionally gradient material (FGM) structure consisting of Al-based composites reinforced with alternating TiC and B4C particles. The TiC content increases from the bottom up and then decreases, while the B4C content gradually increases, resulting in a continuous gradient structure. Correspondingly, the grain size of the Al matrix also changes with the variation of ceramic particles, forming a dual-gradient change trend. This FGM structure exhibits a multi-performance balance of strength, ductility, anti-wear and damping properties, making it a promising candidate for the cost-effective application in multi-performance heterostructured components.
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- 2024
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43. Assessing the feasibility of near-ambient conditions superconductivity in the Lu-N-H system
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Yue-Wen Fang, Đorđe Dangić, and Ion Errea
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Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Abstract The report of near-ambient superconductivity in nitrogen-doped lutetium hydrides (Lu-N-H) has generated a great interest. However, conflicting results raised doubts regarding superconductivity. Here, we combine high-throughput crystal structure predictions with a fast predictor of superconducting critical temperature (T c) based on electron localization function to shed light on the properties of Lu-N-H at 1 GPa. None of the predicted structures supports high-temperature superconductivity and the inclusion of nitrogen in the crystal structure predictions leads to more insulating structures than metallic ones in quantity. Despite the lack of near-ambient superconductivity, we consider alternative metastable templates and study their T c and dynamical stability including quantum anharmonic effects. Lu4H11N exhibits a T c of 100 K at only 20 GPa, a large increase compared to 30 K of its parent LuH3. Interestingly, it has a similar X-ray pattern to the experimental one. The LaH10-like LuH10 and CaH6-like LuH6 become high-temperature superconductors at 175 GPa and 100 GPa, with T c of 286 K and 246 K, respectively. Our findings suggest that high-temperature superconductivity is not possible in stable phases at near-ambient pressure. However, at a slightly enhanced pressure of 20 GPa, high-T c superconductivity emerges in Lu-H-N, and metastable room-temperature superconducting templates persist at high pressures.
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- 2024
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44. The importance of novel histopathological classification and its association with outcomes of primary aldosteronism: What you need to know from a urologist’s perspective
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Chu-Wen Fang, Chi-Shin Tseng, Kang-Yung Peng, Vin-Cent Wu, Shuo-Meng Wang, Kuo-How Huang, and Jeff Shih-Chieh Chueh
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Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Primary aldosteronism (PA), the most important cause of secondary endocrine hypertension, is hallmarked by excessive aldosterone secretion. There were 2 subtypes of PA—unilateral aldosterone-producing adenoma and bilateral adrenal hyperplasia, which are now outdated. Since conventional adrenal pathological reports only examined hematoxylin and eosin staining, the secretory function of the structural adenoma(s) could not be determined. Several enzymes produce aldosterone-related steroids, and 2 isoforms of 11β-hydroxylase, namely CYP11B1 and CYP11B2 (aldosterone synthase), are responsible for producing cortisol and aldosterone, respectively. Since the availability of specifically selective antibodies for targeting CYP11B1 and CYP11B2, the diagnosis/nomenclature of PA-related adrenal pathology has been revolutionized by using immunohistochemistry staining for CYP11B2 to identify the aldosterone production site in the human adrenal cortex. The significance of immunohistochemical staining of formalin-fixed paraffin-embedded adrenal tissue sections has become “mandatory” for precisely detecting the lesions responsible for PA. Recently, the histopathology of PA consensus, based on immunochemical findings, was established to define the nomenclature and adrenal histopathological features in unilateral PA. In this study, we further investigate the association between the pathological subtypes and the surgical outcomes of PA as per the criteria of the Primary Aldosteronism Surgery Outcome consensus. Unfortunately, a significant lag is seen in the adaptation of Taiwan’s pathologists to the histopathology of PA consensus. Furthermore, a strong push from all urologists across Taiwan and the governmental health care authorities is required to elevate the care level provided to all patients with PA in Taiwan to exceptional.
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- 2024
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45. Characterization of tumoricidal activities mediated by a novel immune cell regimen composing interferon-producing killer dendritic cells and tumor-specific cytotoxic T lymphocytes
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Chih-Hao Fang, Wen-Fang Cheng, Ya-Fang Cheng, Keng-Li Lan, and Jan-Mou Lee
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Phyduxon-T ,IKDCs ,TAA-specific CD8 T cells ,4-1BB ,Immunotherapy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Although immune cell therapy has long been used for treating solid cancer, its efficacy remains limited. Interferon (IFN)-producing killer dendritic cells (IKDCs) exhibit cytotoxicity and present antigens to relevant cells; thus, they can selectively induce tumor-associated antigen (TAA)-specific CD8 T cells and may be useful in cancer treatment. Various protocols have been used to amplify human IKDCs from peripheral sources, but the complexity of the process has prevented their widespread clinical application. Additionally, the induction of TAA-specific CD8 T cells through the adoptive transfer of IKDCs to immunocompromised patients with cancer may be insufficient. Therefore, we developed a method for generating an immune cell-based regimen, Phyduxon-T, comprising a human IKDC counterpart (Phyduxon) and expanded TAA-specific CD8 T cells. Methods Peripheral blood mononuclear cells from ovarian cancer patients were cultured with human interleukin (hIL)-15, hIL-12, and hIL-18 to generate Phyduxon-T. Then, its phenotype, cytotoxicity, and antigen-presenting function were evaluated through flow cytometry using specific monoclonal antibodies. Results Phyduxon exhibited the characteristics of both natural killer and dendritic cells. This regimen also exhibited cytotoxicity against primary ovarian cancer cells and presented TAAs, thereby inducing TAA-specific CD8 T cells, as evidenced by the expression of 4-1BB and IFN-γ. Notably, the Phyduxon-T manufacturing protocol effectively expanded IFN-γ-producing 4-1BB+ TAA-specific CD8 T cells from peripheral sources; these cells exhibited cytotoxic activities against ovarian cancer cells. Conclusions Phyduxon-T, which is a combination of natural killer cells, dendritic cells, and TAA-specific CD8 T cells, may enhance the efficacy of cancer immunotherapy.
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- 2024
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46. MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
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Dong, Xiaoyi, Bao, Jianmin, Zheng, Yinglin, Zhang, Ting, Chen, Dongdong, Yang, Hao, Zeng, Ming, Zhang, Weiming, Yuan, Lu, Chen, Dong, Wen, Fang, and Yu, Nenghai
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
This paper presents a simple yet effective framework MaskCLIP, which incorporates a newly proposed masked self-distillation into contrastive language-image pretraining. The core idea of masked self-distillation is to distill representation from a full image to the representation predicted from a masked image. Such incorporation enjoys two vital benefits. First, masked self-distillation targets local patch representation learning, which is complementary to vision-language contrastive focusing on text-related representation. Second, masked self-distillation is also consistent with vision-language contrastive from the perspective of training objective as both utilize the visual encoder for feature aligning, and thus is able to learn local semantics getting indirect supervision from the language. We provide specially designed experiments with a comprehensive analysis to validate the two benefits. Symmetrically, we also introduce the local semantic supervision into the text branch, which further improves the pretraining performance. With extensive experiments, we show that MaskCLIP, when applied to various challenging downstream tasks, achieves superior results in linear probing, finetuning, and zero-shot performance with the guidance of the language encoder. Code will be release at \url{https://github.com/LightDXY/MaskCLIP}., Comment: CVPR 2023, code is available at https://github.com/LightDXY/MaskCLIP
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- 2022
47. Bootstrapped Masked Autoencoders for Vision BERT Pretraining
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Dong, Xiaoyi, Bao, Jianmin, Zhang, Ting, Chen, Dongdong, Zhang, Weiming, Yuan, Lu, Chen, Dong, Wen, Fang, and Yu, Nenghai
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
We propose bootstrapped masked autoencoders (BootMAE), a new approach for vision BERT pretraining. BootMAE improves the original masked autoencoders (MAE) with two core designs: 1) momentum encoder that provides online feature as extra BERT prediction targets; 2) target-aware decoder that tries to reduce the pressure on the encoder to memorize target-specific information in BERT pretraining. The first design is motivated by the observation that using a pretrained MAE to extract the features as the BERT prediction target for masked tokens can achieve better pretraining performance. Therefore, we add a momentum encoder in parallel with the original MAE encoder, which bootstraps the pretraining performance by using its own representation as the BERT prediction target. In the second design, we introduce target-specific information (e.g., pixel values of unmasked patches) from the encoder directly to the decoder to reduce the pressure on the encoder of memorizing the target-specific information. Thus, the encoder focuses on semantic modeling, which is the goal of BERT pretraining, and does not need to waste its capacity in memorizing the information of unmasked tokens related to the prediction target. Through extensive experiments, our BootMAE achieves $84.2\%$ Top-1 accuracy on ImageNet-1K with ViT-B backbone, outperforming MAE by $+0.8\%$ under the same pre-training epochs. BootMAE also gets $+1.0$ mIoU improvements on semantic segmentation on ADE20K and $+1.3$ box AP, $+1.4$ mask AP improvement on object detection and segmentation on COCO dataset. Code is released at https://github.com/LightDXY/BootMAE., Comment: ECCV 2022, code is available at https://github.com/LightDXY/BootMAE
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- 2022
48. Research trends related to emergence agitation in the post-anaesthesia care unit from 2001 to 2023: A bibliometric analysis
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Cao Lulu, Ren Yunhong, Wen Fang, Du Juan, He Mei, and Huang Huaping
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emergence agitation ,vosviewer ,bibliometric analysis ,web of science core collection ,global trends ,Medicine - Abstract
Emergence agitation (EA) is a behavioural disturbance encountered during the recovery phase of patients following general anaesthesia. It is characterised by restlessness, involuntary limb movements, and drainage tube withdrawal and may significantly harm patients and medical staff. The mechanism of EA has not been fully understood and is still a challenging subject for researchers.
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- 2024
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49. Comparative analysis of the diagnostic efficiency of the four thyroid imaging reporting and data systems
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Jun Xu, Wei-Bing Zhang, Wen-Fang Deng, Bei-Li He, and Ting-Yue Qi
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Thyroid imaging reporting and data system ,Diagnostic efficiency ,Thyroid nodules ,Medical technology ,R855-855.5 - Abstract
The purpose of this study was to comparative analyze the diagnostic efficiency of Thyroid Imaging Reporting and Data System proposed by Kwak, American College of Radiology, the European Thyroid Association and the Chinese Medical Association, respectively (Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS, respectively) for malignant risk stratification of thyroid nodules. A total of 1142 thyroid nodules confirmed by cytological or surgical pathologies were retrospectively classified according to Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS. The area under the receiver operating characteristic curve (AUC), the diagnostic sensitivity, specificity, Youden index, and accuracy of each TI-RADS for nodules was calculated and compared. The diagnostic sensitivity of ACR TI-RADS was 85.5%, which was lowest (all P 0.05). The AUC of C-TIRADS was highest among the four methods (all P
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- 2024
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50. Socioeconomic Status Plays a Moderating Role in the Association Between Multimorbidity and Health-Related Quality of Life Among Cancer Patients
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Xiao-Qing Ren MS, Shi-Jie Sun MS, Shen-Ao Wei MS, Shuo-Wen Fang MS, Ling-Feng Xu MS, Jian Xiao BS, and Man-Man Lu PhD
- Subjects
Public aspects of medicine ,RA1-1270 - Abstract
This study aimed to explore the moderating role of socioeconomic status (SES) in the association between multimorbidity and health-related quality of life (HRQOL) among cancer patients in Anhui China. A total of 560 cancer patients were recruited for the cross-section study. Socio-demographic and clinical characteristics were analyzed using descriptive statistics. Tobit regression analysis was employed to investigate the relationship between multimorbidity and HRQOL as well as to assess the moderating effect of SES. The research findings indicated that 76.61% of cancer patients experienced multimorbidity, with psychological multimorbidity being the most prevalent (45.54%), followed by physical-psychological multimorbidity (20.89%). Moreover, physical-psychological multimorbidity had the most substantial adverse effect on HRQOL ( P < .001). The presence of multimorbidity was correlated with a significant decline in HRQOL, with a 17.5% ( P < .001) decrease in HRQOL for each additional multimorbidity. Additionally, SES played a significant role in moderating the impact of multimorbidity on HRQOL in cancer patients. (Marginal effect = −0.022, P < .01). The high SES group exhibited a higher overall HRQOL than the low SES group (Marginal effect = 0.068, P < .001). And with the increase of multimorbidity, HRQOL in the higher SES showed a more pronounced downward trend, compared with the lower SES ( β = −.270 vs β = −.201, P < .001). Our findings underscore the importance of preventing and managing multimorbidity in cancer patients, particularly those with low SES. Furthermore, it is essential to consider the impact of the rapid decline in HRQOL as the number of multimorbidity increases in individuals with higher SES. It is imperative to explore interdisciplinary and continuous collaborative management models.
- Published
- 2024
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