Author: "Chun-Hua Hu" - Searchworks@Jio Institute Digital Library Search Results

101 results on '"Chun-Hua Hu"'

1. Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

Author: Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, and Albert Y Chen
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract: BackgroundEarly recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies. ObjectiveIn this study, we aimed to build a machine learning–based model through text mining of emergency calls for the automated identification of severely injured patients after a road accident. MethodsAudio recordings of road accidents in Taipei City, Taiwan, in 2018 were obtained and randomly sampled. Data on call transfers or non-Mandarin speeches were excluded. To predict cases of severe trauma identified on-site by emergency medical technicians, all included cases were evaluated by both humans (6 dispatchers) and a machine learning model, that is, a prehospital-activated major trauma (PAMT) model. The PAMT model was developed using term frequency–inverse document frequency, rule-based classification, and a Bernoulli naïve Bayes classifier. Repeated random subsampling cross-validation was applied to evaluate the robustness of the model. The prediction performance of dispatchers and the PAMT model, in severe cases, was compared. Performance was indicated by sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. ResultsAlthough the mean sensitivity and negative predictive value obtained by the PAMT model were higher than those of dispatchers, they obtained higher mean specificity, positive predictive value, and accuracy. The mean accuracy of the PAMT model, from certainty level 0 (lowest certainty) to level 6 (highest certainty), was higher except for levels 5 and 6. The overall performances of the dispatchers and the PAMT model were similar; however, the PAMT model had higher accuracy in cases where the dispatchers were less certain of their judgments. ConclusionsA machine learning–based model, called the PAMT model, was developed to predict severe road accident trauma. The results of our study suggest that the accuracy of the PAMT model is not superior to that of the participating dispatchers; however, it may assist dispatchers when they lack confidence while making a judgment.
Published: 2022
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2. Highly Efficient Biolistic Transformation of Embryogenic Cell Suspensions of Banana Via a Liquid Medium Selection System

Author: Tao Dong, Fang-cheng Bi, Yong-hong Huang, Wei-di He, Gui-ming Deng, Hui-jun Gao, Ou Sheng, hun-yu Li, Qiao-song Yang, Gan-jun Yi, and Chun-hua Hu
Subjects: ecs, embryogenic cells, liquid screening system, musa, transgenesis, Plant culture, SB1-1110
Abstract: An efficient biolistic transformation system of banana combined with a liquid medium selection system was developed during this study. An embryogenic cell suspension (ECS) of Musa acuminata cv. Baxi (AAA) was bombarded with a particle delivery system. After 7 days of restoring culture in liquid M2 medium, embryogenic cells were transferred to a liquid selection M2 medium supplemented with 10 μg/mL hygromycin for resistance screening. The untransformed cell clusters were inhibited or killed, and a small number of transformants proliferated in the liquid selection medium. After the 0th, first, second, and third generation of antibiotic screening, there were 0, 65, 212, and 320, respectively, vitality-resistant buds obtained from a 0.5-mL packed cell volume (PCV) of embryogenic cell suspension. The β-glucuronidase (GUS) staining, polymerase chain reaction (PCR) analysis, and Southern blot hybridization results all demonstrated a 100% positive rate of regenerated resistant seedlings. Interestingly, the number of buds obtained through third-generation screening was almost equal to that obtained from the original ECS in M2 medium without antibiotics. These results suggested that the liquid medium selection system facilitated the proliferation of a positive transgenic ECS, which significantly improved the regeneration rate of transformants. This protocol is suitable for the genetic transformation of all banana genotypes and is highly advantageous to varieties with low callusing potential.
Published: 2020
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3. Preoperative Heart Rate Variability During Sleep Predicts Vagus Nerve Stimulation Outcome Better in Patients With Drug-Resistant Epilepsy

Author: Xi Fang, Hong-Yun Liu, Zhi-Yan Wang, Zhao Yang, Tung-Yang Cheng, Chun-Hua Hu, Hong-Wei Hao, Fan-Gang Meng, Yu-Guang Guan, Yan-Shan Ma, Shu-Li Liang, Jiu-Luan Lin, Ming-Ming Zhao, and Lu-Ming Li
Subjects: drug-resistant epilepsy, heart-rate variability, vagus nerve stimulation, circadian rhythm, outcome prediction, feature selection, Neurology. Diseases of the nervous system, RC346-429
Abstract: Objective: Vagus nerve stimulation (VNS) is an adjunctive and well-established treatment for patients with drug-resistant epilepsy (DRE). However, it is still difficult to identify patients who may benefit from VNS surgery. Our study aims to propose a VNS outcome prediction model based on machine learning with multidimensional preoperative heart rate variability (HRV) indices.Methods: The preoperative electrocardiography (ECG) of 59 patients with DRE and of 50 healthy controls were analyzed. Responders were defined as having at least 50% average monthly seizure frequency reduction at 1-year follow-up. Time domain, frequency domain, and non-linear indices of HRV were compared between 30 responders and 29 non-responders in awake and sleep states, respectively. For feature selection, univariate filter and recursive feature elimination (RFE) algorithms were performed to assess the importance of different HRV indices to VNS outcome prediction and improve the classification performance. Random forest (RF) was used to train the classifier, and leave-one-out (LOO) cross-validation was performed to evaluate the prediction model.Results: Among 52 HRV indices, 49 showed significant differences between DRE patients and healthy controls. In sleep state, 35 HRV indices of responders were significantly higher than those of non-responders, while 16 of them showed the same differences in awake state. Low-frequency power (LF) ranked first in the importance ranking results by univariate filter and RFE methods, respectively. With HRV indices in sleep state, our model achieved 74.6% accuracy, 80% precision, 70.6% recall, and 75% F1 for VNS outcome prediction, which was better than the optimal performance in awake state (65.3% accuracy, 66.4% precision, 70.5% recall, and 68.4% F1).Significance: With the ECG during sleep state and machine learning techniques, the statistical model based on preoperative HRV could achieve a better performance of VNS outcome prediction and, therefore, help patients who are not suitable for VNS to avoid the high cost of surgery and possible risks of long-term stimulation.
Published: 2021
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4. Characteristics of Peripheral Lymphocyte Subsets in Patients With Acute-On-Chronic Liver Failure Associated With Hepatitis B

Author: Juan Li, Chun-Hua Hu, Yi Chen, Mi-Mi Zhou, Zhi-Jie Gao, Meng-Jun Fu, Jing Wang, Jian-Zhou Li, Tian-Yan Chen, Ying-Ren Zhao, and Ying-Li He
Subjects: lymphocyte subsets, hepatitis B virus, acute-on-chronic liver failure, immune response, flow cytometry, Medicine (General), R5-920
Abstract: Background and Aims: Acute-on-chronic liver failure (ACLF) is a rare, but dramatic clinical syndrome. There is substantial evidence suggesting that immunity-mediated inflammation plays an important role in HBV-ACLF. Our aim was to characterize the proportion and cell counts of peripheral blood lymphocyte subsets in acute-on-chronic liver failure patients caused by HBV infection.Methods: One hundred and seventeen patients were enrolled in this study, including those with HBV-related ACLF (HBV-ACLF; n = 70), and HBV related non-ACLF patients (HBV non-ACLF; n = 47). Demographics, clinical and laboratory data at hospital admission were retrospectively analyzed. The percentage and cell count of peripheral lymphocyte subsets were evaluated by flow cytometry. Comparison analysis was performed by t-test or non-parametric Mann–Whitney U-test. Actuarial probabilities of death were calculated by the Kaplan-Meier method.Results: Both circulating lymphocyte count and lymphocyte percentage were significantly reduced in patients with HBV-ACLF (P < 0.001). The CD8+ T cell, CD4+ T cell, and CD16+CD56+ NK cell counts were significantly decreased in HBV-ACLF. Consistently, flow cytometric analysis showed that CD8+ T cell counts were significantly decreased in non-survivors, while no significant differences were found in CD4+ T cell, CD19+ B cell, or CD56+CD16+ NK cell counts. Furthermore, the group with the lower CD8+ T cell count displayed a significantly higher mortality rate compared with the group with the higher CD8+ T cell count.Conclusions: The abnormal prevalence of lymphocyte subsets may be important in the pathogenesis of HBV-ACLF. The decrease in CD8+ T cell counts may be related to poor survival in HBV-ACLF patients.
Published: 2021
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5. MaMYB4, an R2R3-MYB Repressor Transcription Factor, Negatively Regulates the Biosynthesis of Anthocyanin in Banana

Author: Gui-Ming Deng, Sen Zhang, Qiao-Song Yang, Hui-Jun Gao, Ou Sheng, Fang-Cheng Bi, Chun-Yu Li, Tao Dong, Gan-Jun Yi, Wei-Di He, and Chun-Hua Hu
Subjects: banana, anthocyanin, R2R3-MYB repressor, MaMYB4, bHLH, Plant culture, SB1-1110
Abstract: Anthocyanins spatiotemporally accumulate in certain tissues of particular species in the banana plant, and MYB transcription factors (TFs) serve as their primary regulators. However, the precise regulatory mechanism in banana remains to be determined. Here, we report the identification and characterization of MaMYB4, an R2R3-MYB repressor TF, characterized by the presence of EAR (ethylene-responsive element binding factor–associated amphiphilic repression) and TLLLFR motifs. MaMYB4 expression was induced by the accumulation of anthocyanins. Transgenic banana plants overexpressing MaMYB4 displayed a significant reduction in anthocyanin compared to wild type. Consistent with the above results, metabolome results showed that there was a decrease in all three identified cyanidins and one delphinidin, the main anthocyanins that determine the color of banana leaves, whereas both transcriptome and reverse transcription–quantitative polymerase chain reaction analysis showed that many key anthocyanin synthesis structural genes and TF regulators were downregulated in MaMYB4 overexpressors. Furthermore, dual-luciferase assays showed that MaMYB4 was able to bind to the CHS, ANS, DFR, and bHLH promoters, leading to inhibition of their expression. Yeast two-hybrid analysis verified that MaMYB4 did not interact with bHLH, which ruled out the possibility that MaMYB4 could be incorporated into the MYB-bHLH-WD40 complex. Our results indicated that MaMYB4 acts as a repressor of anthocyanin biosynthesis in banana, likely due to a two-level repression mechanism that consists of reduced expression of anthocyanin synthesis structural genes and the parallel downregulation of bHLH to interfere with the proper assembly of the MYB-bHLH-WD40 activation complex. To the best of our knowledge, this is the first MYB TF that regulates anthocyanin synthesis that was identified by genetic methods in bananas, which will be helpful for manipulating anthocyanin coloration in banana programs in the future.
Published: 2021
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6. Early Cold-Induced Peroxidases and Aquaporins Are Associated With High Cold Tolerance in Dajiao (Musa spp. ‘Dajiao’)

Author: Wei-Di He, Jie Gao, Tong-Xin Dou, Xiu-Hong Shao, Fang-Cheng Bi, Ou Sheng, Gui-Ming Deng, Chun-Yu Li, Chun-Hua Hu, Ji-Hong Liu, Sheng Zhang, Qiao-Song Yang, and Gan-Jun Yi
Subjects: Musa spp. ‘Cavendish’, Musa spp. ‘Dajiao’, quantitative proteomics, cold tolerance, peroxidase, aquaporin, Plant culture, SB1-1110
Abstract: Banana is an important tropical fruit with high economic value. One of the main cultivars (‘Cavendish’) is susceptible to low temperatures, while another closely related specie (‘Dajiao’) has considerably higher cold tolerance. We previously reported that some membrane proteins appear to be involved in the cold tolerance of Dajiao bananas via an antioxidation mechanism. To investigate the early cold stress response of Dajiao, here we applied comparative membrane proteomics analysis for both cold-sensitive Cavendish and cold-tolerant Dajiao bananas subjected to cold stress at 10°C for 0, 3, and 6 h. A total of 2,333 and 1,834 proteins were identified in Cavendish and Dajiao, respectively. Subsequent bioinformatics analyses showed that 692 Cavendish proteins and 524 Dajiao proteins were predicted to be membrane proteins, of which 82 and 137 differentially abundant membrane proteins (DAMPs) were found in Cavendish and Dajiao, respectively. Interestingly, the number of DAMPs with increased abundance following 3 h of cold treatment in Dajiao (80) was seven times more than that in Cavendish (11). Gene ontology molecular function analysis of DAMPs for Cavendish and Dajiao indicated that they belong to eight categories including hydrolase activity, binding, transporter activity, antioxidant activity, etc., but the number in Dajiao is twice that in Cavendish. Strikingly, we found peroxidases (PODs) and aquaporins among the protein groups whose abundance was significantly increased after 3 h of cold treatment in Dajiao. Some of the PODs and aquaporins were verified by reverse-transcription PCR, multiple reaction monitoring, and green fluorescent protein-based subcellular localization analysis, demonstrating that the global membrane proteomics data are reliable. By combining the physiological and biochemical data, we found that membrane-bound Peroxidase 52 and Peroxidase P7, and aquaporins (MaPIP1;1, MaPIP1;2, MaPIP2;4, MaPIP2;6, MaTIP1;3) are mainly involved in decreased lipid peroxidation and maintaining leaf cell water potential, which appear to be the key cellular adaptations contributing to the cold tolerance of Dajiao. This membrane proteomics study provides new insights into cold stress tolerance mechanisms of banana, toward potential applications for ultimate genetic improvement of cold tolerance in banana.
Published: 2018
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7. Self-learning differential evolution algorithm for dynamic polycentric problems

Author: Xing-bao LIU, Jian-ping YIN, Chun-hua HU, and Rong-yuan CHEN
Subjects: evolutionary computation, dynamic optimization, self-learning mechanism, differential evolution, Telecommunication, TK5101-6720
Abstract: A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.
Published: 2015
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8. User similarity-based collaborative filtering recommendation algorithm

Author: Hui-gui RONG, Sheng-xu HUO, Chun-hua HU, and Jin-xia MO
Subjects: collaborative filtering, user similarity, attribute similarity, interactive similarity, user satisfaction, Telecommunication, TK5101-6720
Abstract: Collaborative filtering recommendation algorithms widely used in e-commerce, recommend interesting content for users from massive data resources by studying their preferences and interests. The focus of similarity and evaluation have been changed when applied to social networks, however, they cause low efficiency and accuracy of the recommen-dation algorithms. User similarity was introduced for redefining the attribute similarity and similarity composition as well as the method of similarity calculating, then a new collaborative filtering recommendation algorithm based on user attrib-utes was designed and some methods for user satisfaction and quality of recommendations were presented. The experi-mental result shows that the new algorithm can effectively improve the accuracy, quality and user satisfaction of recom-mendation system in social networks.
Published: 2014
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9. Design of dynamic output feedback controller for lurie networked control systems with multiple delays

Author: Gang CHEN, Hong-qiu ZHU, Chun-hua YANG, and Chun-hua HU
Subjects: dynamic output feedback, Lurie system, networked control systems, liner matrix inequality, Telecommunication, TK5101-6720
Abstract: For a class of network control system based on dynamic output feedback controller with non-ideal network conditions,such as time-varying network-induced delay,data packet loss and out-of-order problems.The Lurie networked control system was modeled as a multiple delay Lurie system.By employing a Lyapunov-Krasovskii functional， some useful terms have been retained,which were used to be discarded in the derivative of Lyapunov-Krasovskii functional,an improved delay-dependent stability conditions for Lurie NCS was proposed.Furthermore,by adding an equation constraint,it was transformed into a solvability problem described by linear matrix inequality;the resulting condition was extended to design a dynamic output feedback control .Numerical examples are provided to show the results are less conservative.
Published: 2012
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10. Detection in Orchards of Predominant Azole-Resistant Candida tropicalis Genotype Causing Human Candidemia, Taiwan

Author: Kuo-Yun Tseng, Yin-Zhi Chen, Zi-Li Zhou, Jyh-Nong Tsai, Min-Nan Tseng, Hsing-Lung Liu, Chi-Jung Wu, Yu-Chieh Liao, Chih-Chao Lin, De-Jiun Tsai, Feng-Jui Chen, Li-Yun Hsieh, Kuan-Chung Huang, Chun-Hua Huang, Kai-Ting Chen, Wen-Li Chu, Chiao-Mei Lin, Shu-Man Shih, Chao Agnes Hsiung, Yee-Chun Chen, Huey-Kang Sytwu, Yun-Liang Yang, and Hsiu-Jung Lo
Subjects: candidemia, Candida tropicalis, azole resistance, drug resistance, environment, orchards, Medicine, Infectious and parasitic diseases, RC109-216
Abstract: Fluconazole-resistant clade 4 Candida tropicalis causing candidemia in humans has been detected in tropical/subtropical areas, including those in China, Singapore, and Australia. We analyzed 704 individual yeasts isolated from fruits, soil, water, and farmers at 80 orchards in Taiwan. The most common pathogenic yeast species among 251 isolates recovered from farmers were Candida albicans (14.7%) and C. parapsilosis (11.6%). In contrast, C. tropicalis (13.0%), C. palmioleophila (6.6%), and Pichia kudriavzevii (6.0%) were prevalent among 453 environmental isolates. Approximately 18.6% (11/59) of C. tropicalis from the environment were resistant to fluconazole, and 81.8% (9/11) of those belonged to the clade 4 genotype. C. tropicalis susceptibility to fluconazole correlated with susceptibilities to the agricultural azole fungicides, difenoconazole, tebuconazole, and triadimenol. Tandem gene duplications of mutated ERG11 contributed to azole resistance. Agriculture environments are a reservoir for azole-resistant C. tropicalis; discontinuing agricultural use of azoles might reduce emergence of azole-resistant Candida spp. strains in humans.
Published: 2024
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11. Defective N-glycosylation of IL6 induces metastasis and tyrosine kinase inhibitor resistance in lung cancer

Author: Chun-Hua Hung, Shang-Yin Wu, Cheng-I Daniel Yao, Hsuan-Heng Yeh, Chien-Chung Lin, Chang-Yao Chu, Tzu-Yu Huang, Meng-Ru Shen, Chun-Hung Lin, and Wu-Chou Su
Subjects: Science
Abstract: Abstract The IL6-GP130-STAT3 pathway facilitates lung cancer progression and resistance to tyrosine kinase inhibitors. Although glycosylation alters the stability of GP130, its effect on the ligand IL6 remains unclear. We herein find that N-glycosylated IL6, especially at Asn73, primarily stimulates JAK-STAT3 signaling and prolongs STAT3 phosphorylation, whereas N-glycosylation-defective IL6 (deNG-IL6) induces shortened STAT3 activation and alters the downstream signaling preference for the SRC-YAP-SOX2 axis. This signaling shift induces epithelial-mesenchymal transition (EMT) and migration in vitro and metastasis in vivo, which are suppressed by targeted inhibitors and shRNAs against SRC, YAP, and SOX2. Osimertinib-resistant lung cancer cells secrete a large amount of deNG-IL6 through reduced N-glycosyltransferase gene expression, leading to clear SRC-YAP activation. deNG-IL6 contributes to drug resistance, as confirmed by in silico analysis of cellular and clinical transcriptomes and signal expression in patient specimens. Therefore, the N-glycosylation status of IL6 not only affects cell behaviors but also shows promise in monitoring the dynamics of lung cancer evolution.
Published: 2024
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12. An extended EDAS method under four-branch fuzzy environments and its application in credit evaluation for micro and small entrepreneurs

Author: Peng-fei Cheng, Chun-hua Hu, Jian Ren, and Shao-qian Yu
Subjects: 0209 industrial biotechnology, Computer science, media_common.quotation_subject, Fuzzy set, Computational intelligence, 02 engineering and technology, Interval (mathematics), Multiple-criteria decision analysis, Industrial engineering, Fuzzy logic, Theoretical Computer Science, 020901 industrial engineering & automation, Decision matrix, 0202 electrical engineering, electronic engineering, information engineering, EDAS, 020201 artificial intelligence & image processing, Geometry and Topology, Function (engineering), Software, media_common
Abstract: With Chinese economic development in a new normal state, micro and small corporations have increasingly played an important role. The credit evaluation for micro and small corporations can contribute to efficient financial decisions. Traditional methods for the corporate credit evaluation rarely consider fuzzy features of micro and small entrepreneurs. Since the credit evaluation procedure for entrepreneurs consists of some alternatives and influential indicators, it can be recognized as a multi-criteria decision-making (MCDM) problem. To better express uncertainty information, a four-branch fuzzy set (FBFS) is presented to deal with the issue, which is characterized by a truth-membership function, an unknown-membership function and a falsity-membership function. In the paper, to handle the MCDM problems under four-branch fuzzy environments, the evaluation based on distance from average solution (EDAS) method is extended and utilized. These obvious improvement places include integrating an interval weight vector, determining an average solution, transforming a decision matrix and analyzing a change trend of the coefficients. To demonstrate the applicability and rationality of the proposed method in practice, an illustrative example is implemented, concerning a credit evaluation for some micro and small entrepreneurs. Its feasibility and validity are further verified by a sensitivity analysis and a comparative analysis. The results show the FBFSs and extended EDAS method can well match the reality and appropriately handle the credit evaluation problems for micro and small entrepreneurs.
Published: 2020
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13. Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation (Preprint)

Author: Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, and Albert Y Chen
Abstract: BACKGROUND Early recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies. OBJECTIVE In this study, we aimed to build a machine learning–based model through text mining of emergency calls for the automated identification of severely injured patients after a road accident. METHODS Audio recordings of road accidents in Taipei City, Taiwan, in 2018 were obtained and randomly sampled. Data on call transfers or non-Mandarin speeches were excluded. To predict cases of severe trauma identified on-site by emergency medical technicians, all included cases were evaluated by both humans (6 dispatchers) and a machine learning model, that is, a prehospital-activated major trauma (PAMT) model. The PAMT model was developed using term frequency–inverse document frequency, rule-based classification, and a Bernoulli naïve Bayes classifier. Repeated random subsampling cross-validation was applied to evaluate the robustness of the model. The prediction performance of dispatchers and the PAMT model, in severe cases, was compared. Performance was indicated by sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. RESULTS Although the mean sensitivity and negative predictive value obtained by the PAMT model were higher than those of dispatchers, they obtained higher mean specificity, positive predictive value, and accuracy. The mean accuracy of the PAMT model, from certainty level 0 (lowest certainty) to level 6 (highest certainty), was higher except for levels 5 and 6. The overall performances of the dispatchers and the PAMT model were similar; however, the PAMT model had higher accuracy in cases where the dispatchers were less certain of their judgments. CONCLUSIONS A machine learning–based model, called the PAMT model, was developed to predict severe road accident trauma. The results of our study suggest that the accuracy of the PAMT model is not superior to that of the participating dispatchers; however, it may assist dispatchers when they lack confidence while making a judgment.
Published: 2021
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14. Machine Learning-Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

Author: Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, and Albert Y Chen
Subjects: Machine Learning, Emergency Medical Services, Emergency Medical Service Communication Systems, Humans, Health Informatics, Bayes Theorem, Emergency Medical Dispatch
Abstract: Background Early recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies. Objective In this study, we aimed to build a machine learning–based model through text mining of emergency calls for the automated identification of severely injured patients after a road accident. Methods Audio recordings of road accidents in Taipei City, Taiwan, in 2018 were obtained and randomly sampled. Data on call transfers or non-Mandarin speeches were excluded. To predict cases of severe trauma identified on-site by emergency medical technicians, all included cases were evaluated by both humans (6 dispatchers) and a machine learning model, that is, a prehospital-activated major trauma (PAMT) model. The PAMT model was developed using term frequency–inverse document frequency, rule-based classification, and a Bernoulli naïve Bayes classifier. Repeated random subsampling cross-validation was applied to evaluate the robustness of the model. The prediction performance of dispatchers and the PAMT model, in severe cases, was compared. Performance was indicated by sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Results Although the mean sensitivity and negative predictive value obtained by the PAMT model were higher than those of dispatchers, they obtained higher mean specificity, positive predictive value, and accuracy. The mean accuracy of the PAMT model, from certainty level 0 (lowest certainty) to level 6 (highest certainty), was higher except for levels 5 and 6. The overall performances of the dispatchers and the PAMT model were similar; however, the PAMT model had higher accuracy in cases where the dispatchers were less certain of their judgments. Conclusions A machine learning–based model, called the PAMT model, was developed to predict severe road accident trauma. The results of our study suggest that the accuracy of the PAMT model is not superior to that of the participating dispatchers; however, it may assist dispatchers when they lack confidence while making a judgment.
Published: 2021

15. A L-K Local Optical-flow-based Coordinate Profilometry by Using the Capture Line in Space

Author: Ping SUN, 孙平, primary, Chao FAN, 范超, additional, Qing DAI, 代晴, additional, Yu-xin TANG, 唐钰欣, additional, Zhi-fang LEI, 类智方, additional, and Chun-hua HU, 胡春华, additional
Published: 2020
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16. Validation of the Emotion Recognition Test

Author: Aleš Gregar, Rudolf Kubík, Agnieszka Bożek, Vít Gabrhel, Karel Paulík, Shiao-Tzu Ma, Miroslava Bozogáňová, Michal Kentoš, Chun-Hua Hu, Denisa Drabová, Milan Droppa, Jakub Procházka, Aleksandra Tokarz, Beata Žitniaková-Gurgová, Viera Bačová, Jana Marie Šafránkov, Václav Linkov, Radvan Bahbouh, Lenka Valuš, Martin Vaculík, Ivana Fabianová, Miroslav Frankovský, Ivana Ondrijová, Ivana Pejřová, Zuzana Heinzová, Milan Bobek, Eva Chroustová, Alžběta Knorková, Alexander Loziak, Jozef Bavoľár, Lucia Pašková, Vladimíra Lovasová, Tomáš Kratochvíl, Eva Höschlová, Zuzana Birknerová, Martin Šikýř, Klaudia Kubalová, Tatiana Lorincová, Denisa Fedáková, Olexandr Kushch, Michal Franc, Mojmír Kališ, Andrea Zelienková, Jana Lišková, Eva Sollárová, Jana Matošková, Ivana Toman Čergeťová, Vladimír Poliach, Diana Malinowska, Elena Lisá, and Zuzana Kožárová
Subjects: Applied psychology, Emotion recognition, Industrial and organizational psychology, Managerial psychology, Psychology, Test (assessment)
Abstract: Sbornik obsahuje 24 vybraných přispěvků představených na 18. rocniků mezinarodni konference Psychologie prace a organizace 2019, ktera se konala v květnu 2019 v Brně. Zahrnuje empiricke, přehledove a připadove studie a představeni výzkumných projektů z různich oblasti pracovni psychologie. Největsi cast přispěvkůse věnuje psychometrickým charakteristikam metod měřicich konstrukty z oblasti psychologie prace a organizace, faktorům ovlivňujicim pracovni postoje a engagement a take leadershipu. Jednotlive studie zachycuji soucasne poznani i výzvy a směřovani budouciho pracovně-psychologickeho výzkumu.
Published: 2019
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17. Perception of motorbike riding safety in Taiwan and the Czech Republic

Author: Chun-Hua Hu, Vít Gabrhel, Shiao-Tzu Ma, and Václav Linkov
Subjects: Czech, Perception, media_common.quotation_subject, Political science, language, Socioeconomics, language.human_language, media_common
Published: 2019
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18. A L-K Local Optical-flow-based Coordinate Profilometry by Using the Capture Line in Space

Author: 代晴 Qing Dai, 胡春华 Chun-hua Hu, 范超 Chao Fan, 孙平 Ping Sun, 类智方 Zhi-fang Lei, and 唐钰欣 Yu-xin Tang
Subjects: Physics, Optics, business.industry, Line (geometry), Optical flow, Profilometer, business, Space (mathematics), Atomic and Molecular Physics, and Optics
Published: 2020
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19. PW 0788 Sun glare is associated with large-vehicle driver injury severity in the united kingdom

Author: Liang-Hao Chen, Chih Wei Pai, Chun-Hua Hu, and Shang-Ku Chen
Subjects: business.industry, Heavy goods vehicle, Environmental health, Medicine, Glare (vision), Crash, business, Logistic regression
Abstract: Background Research has suggested that sun glare poses serious driving hazards and increases accident risks. Drivers of large vehicles (bus/coach, heavy goods vehicle) are exposed long-term sun glare but the impact to their injury severity, given that a crash has occurred, is unknown. Objectives This study attempts to investigate whether sun glare is associated more severe injuries sustained by drivers of large vehicles. Method Using UK Stats19 accident data (1990–2010), injury severity is compared for crashes affected by sun glare (face-sun crashes) and those not affected by sun glare (back-to-sun crashes). An overall logit model was estimated to identify whether face-sun crashes were more injurious than back-to-sun crashes, while controlling for other variables. One additional logit model by face-sun crashes was then estimated to identify the contributory factors to KSIs (killed or seriously injured). Results A total of 4 85 739 crashes involving large vehicles were extracted from the Stats19 for the period 1990–2010. It was found that drivers in face-sun crashes were 1.192 times more likely to sustain KSI (AOR=1.192; CI: 1.152–1.234), compared to those in back-to-sun crashes. The face-sun logit model reveals several important determinants of KSIs: for instance, male drivers, young drivers (up to 19), rural roadways, in autumn seasons, and during sunset hours. Conclusions We conclude that sun glare, especially travelling during sunset hours, is associated with an increased injury severity sustained by drivers of large vehicles. To reduce injury severity, intervention points are discussed finally.
Published: 2018
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20. [Responses of Physiological Indices of Typical Submerged Macrophytes to Water Quality in Taihu Lake]

Author: Min, Gao, Wei-Ping, Hu, Jian-Cai, Deng, and Chun-Hua, Hu
Subjects: Chlorophyll, China, Lakes, Peroxidases, Nitrogen, Water Quality, Phosphorus, Potamogetonaceae, Eutrophication
Abstract: It was well known that physiological indices of submerged macrophytes could reflect change of water quality. The correlation between physiological indices of submerged macrophytes and change of water quality was studied under the cooperation of in-situ monitoring and lab analysis, combined with measuring Chlorophyll and free proline (PRO) contents as well as peroxidase (POD) activities in the leaves of
Published: 2018

21. Occurrence of Parthenogenesis in Potato Tuber Moth

Author: Zong-Kai Li, Yan Xiong, Yan Liu, Chun-Ya Wang, Chun-Hua Hu, and Chun Xiao
Subjects: 0106 biological sciences, animal structures, Offspring, Short Communication, Population, larval density, Zoology, Asexual reproduction, 010603 evolutionary biology, 01 natural sciences, Lepidoptera genitalia, education, Larva, education.field_of_study, biology, asexual reproduction, fungi, food and beverages, General Medicine, Parthenogenesis, Gelechiidae, biology.organism_classification, biological parameter, Phthorimaea operculella, 010602 entomology, Insect Science
Abstract: Parthenogenesis, a natural form of asexual reproduction produced from unfertilized eggs, occurs in many insects in Hemiptera and Hymenoptera, but very rarely in Lepidoptera. The current study aimed to test the larval density dependent occurrence of parthenogenesis in potato tuber moth, Phthorimaea operculella (Zeller; Lepidoptera: Gelechiidae) under laboratory conditions. More than 10% of females out of 25 tested females that developed from the high larval density treatment at 45 larvae per tuber were capable to reproduce asexually. Both male and female offspring were produced parthenogenetically. The sexually reproductive offspring of a laboratory parthenogenetic population had a lower egg hatch rate, shorter larval stage, and shorter male life span when compared with the non-parthenogenetic population. This suggests that the sexually reproductive offspring of parthenogenetic population have a decreased overall fitness compared to the sexually reproductive offspring of non-parthenogenetic population.
Published: 2018

22. The microbiology of chronic rhinosinusitis with and without nasal polyps

Author: Chun-Hua Hu, Hong-Zheng Wei, Xiang-Dong Wang, Xin Liu, Shuai He, Xin-Xin Lu, and Yun-Chuan Li
Subjects: 0301 basic medicine, Adult, Male, medicine.medical_specialty, Staphylococcus aureus, Meatus, Corynebacterium, medicine.disease_cause, Gastroenterology, 03 medical and health sciences, Nasal Polyps, Staphylococcus epidermidis, Internal medicine, Eosinophilic, medicine, Humans, Nasal polyps, Sinusitis, Asthma, Rhinitis, Citrobacter, biology, business.industry, Endoscopy, General Medicine, Middle Aged, biology.organism_classification, medicine.disease, Eosinophils, 030104 developmental biology, Otorhinolaryngology, Case-Control Studies, Chronic Disease, Female, business, Staphylococcus
Abstract: To compare the microbiological features in middle meatus samples from chronic rhinosinusitis (CRS) patients with nasal polyps (CRSwNP) and those without nasal polyps (CRSsNP), and control subjects. A total of 136 CRSwNP patients, 66 CRSsNP patients, and 49 control subjects who underwent endoscopic surgery in Beijing TongRen Hospital were enrolled between January 2014 and January 2016. Swab samples were obtained from the middle meatus during surgery and processed for the presence of aerobic and non-aerobic bacteria and fungi. Information on the allergic rhinitis, asthma, the percentage of eosinophils in peripheral blood, and the history of smoking and surgery was collected. The overall isolation rate for bacteria was 81.3% for the three groups, with the lowest in the CRSsNP group (77.3%) and the highest in the CRSwNP group (88.4%). There were no significant differences in isolation rates among the three groups (P = 0.349). The three most common bacterial species were: Coagulase-negative Staphylococcus (24.3%), Corynebacterium (19.9%), and Staphylococcus epidermidis (19.1%) in the CRSwNP group; S. epidermidis (21.2%), Corynebacterium (21.2%), Coagulase-negative staphylococcus (18.2%), and Staphylococcus aureus (13.6%) in the CRSsNP group; S. epidermidis (30.6%), Coagulase-negative Staphylococcus (28.6%), and S. aureus (14.3%) in the control group. For the bacterial species with high isolation rates, no significant difference in the microbial cultures was observed among the three groups; whereas in the CRSwNP group, a relatively high proportion of Citrobacter (5.9%, a bacterium with low isolation rate) was observed compared with the CRSsNP and control groups (all 0.0%). Furthermore, when samples were categorized into subgroups according to the percentage of eosinophils, some bacterial species showed different rates in the CRSwNP group (e.g., S. aureus, 3.3% in the subgroup with normal percentage of eosinophils, 17.2% in the subgroup with increased percentage of eosinophils, P = 0.011). There were no significant differences in the microbiological features (except Citrobacter) in middle meatus samples from CRSwNP patients, CRSsNP patients, and control subjects. S. aureus may promote eosinophilic inflammatory response, while S. epidermidis may promote non-eosinophilic inflammatory response.
Published: 2018

23. The surgical safety checklist and patient outcomes after surgery

Author: T.E.F. Abbott, T. Ahmad, M.K. Phull, A.J. Fowler, R. Hewson, B.M. Biccard, M.S. Chew, M. Gillies, R.M. Pearse, Rupert M. Pearse, Scott Beattie, Pierre-Alain Clavien, Nicolas Demartines, Lee A. Fleisher, Mike Grocott, James Haddow, Andreas Hoeft, Peter Holt, Rui Moreno, Naomi Pritchard, Andrew Rhodes, Duminda Wijeysundera, Matt Wilson, Tahania Ahmed, Kirsty Everingham, Russell Hewson, Marta Januszewska, Mandeep-Kaur Phull, Richard Halliwell, Mark Shulman, Paul Myles, Werner Schmid, Michael Hiesmayr, Patrick Wouters, Stefan de Hert, Suzana Lobo, Xiangming Fang, Lars Rasmussen, Emmanuel Futier, Matthieu Biais, Aurélien Venara, Karem Slim, Michael Sander, Despoina Koulenti, Kostoula Arvaniti, Mathew Chan, Atul Kulkarni, Susilo Chandra, Aida Tantri, Emad Geddoa, Muntadhar Abbas, Giorgio Della Rocca, Datin Sivasakthi, Marzida Mansor, Pastor Luna, Arthur Bouwman, Wolfgang Buhre, Vanessa Beavis, Douglas Campbell, Tim Short, Tunde Osinaike, Ricardo Matos, Ioana Grigoras, Mikhail Kirov, Denis Protsenko, Bruce Biccard, Cesar Aldecoa, Michelle Chew, Christoph Hofer, Martin Hubner, James Ditai, Tamas Szakmany, Lee Fleisher, Marissa Ferguson, Michael MacMahon, Ritchie Cherian, Helen Currow, Kathirgamanathan Kanathiban, David Gillespie, Edward Pathmanathan, Katherine Phillips, Jenifer Reynolds, Joanne Rowley, Jeanene Douglas, Ross Kerridge, Sameer Garg, Michael Bennett, Megha Jain, David Alcock, Nico Terblanche, Rochelle Cotter, Kate Leslie, Marcelle Stewart, Nicolette Zingerle, Antony Clyde, Oliver Hambidge, Adam Rehak, Sharon Cotterell, Wilson Binh Quan Huynh, Timothy McCulloch, Erez Ben-Menachem, Thomas Egan, Jennifer Cope, Paul Fellinger, Markus Haisjackl, Simone Haselberger, Caroline Holaubek, Paul Lichtenegger, Florian Scherz, Franz Hoffer, Veronika Cakova, Andreas Eichwalder, Norbert Fischbach, Reinhold Klug, Elisabeth Schneider, Martin Vesely, Reinhart Wickenhauser, Karl Gernot Grubmueller, Marion Leitgeb, Friedrich Lang, Nancy Toro, Marlene Bauer, Friedrich Laengle, Claudia Haberl, Thomas Mayrhofer, Christoph Trybus, Christian Buerkle, Karin Forstner, Reinhard Germann, Harald Rinoesl, Elke Schindler, Ernst Trampitsch, Gerhard Bogner, Daniel Dankl, Martin Duenser, Gerhard Fritsch, Ilse Gradwohl-Matis, Andreas Hartmann, Thomas Hoelzenbein, Tarkan Jaeger, Franz Landauer, Gregor Lindl, Michael Lux, Johannes Steindl, Ottokar Stundner, Christian Szabo, Jawad Bidgoli, Hans Verdoodt, Patrice Forget, David Kahn, Fernande Lois, Mona Momeni, Caroline Prégardien, Audrey Pospiech, Arnaud Steyaert, Laurent Veevaete, Dirk De Kegel, Karen De Jongh, Luc Foubert, Carine Smitz, Marcel Vercauteren, Jan Poelaert, Veerle Van Mossevelde, Jacques Abeloos, Stefaan Bouchez, Marc Coppens, Luc De Baerdemaeker, Isabel Deblaere, Ann De Bruyne, Kristine Fonck, Bjorn Heyse, Tom Jacobs, Koen Lapage, Anneliese Moerman, Martine Neckebroek, Aliaksandra Parashchanka, Nathalie Roels, Nancy Van Den Eynde, Michael Vandenheuvel, JurgenVan Limmen, Ann Vanluchene, Caroline Vanpeteghem, Piet Wyffels, Christel Huygens, Punitha Vandenbempt, Marc Van de Velde, Dimitri Dylst, Bruno Janssen, Evelien Schreurs, Fábia Berganton Aleixo, Keulle Candido, Hugo Dias Batista, Mario Guimarães, Jaqueline Guizeline, João Hoffmann, Francisco Ricardo Marques Lobo, Vinícius Nascimento, Katia Nishiyama, Lucas Pazetto, Daniela Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela dos Santos, Jaquelline Jardim, Luiz Marcelo Sá Malbouisson, Joao Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg Cardoso, Daniela Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro Réa-Neto, Fernando Dias, Maria Eduarda Travi, Luiza Zerman, Pedro Azambuja, Marcos Freitas Knibel, Antonio Martins, William Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana Caser, Marcio Machado, Crisitiano Aguzzoli, Sérgio Baldisserotto, Fernanda Beck Tabajara, Fernanda Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina Hartmann, Marta Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline Azevedo, Juliana Garcia, Marcel Lopes, Bernardo Maia, Paula Maselli, Ralph Melo, Weslley Mendes, Matheus Neves, Jacqueline Ney, Claudio Piras, Christopher Applewhaite, Adrienne Carr, Lorraine Chow, Kaylene Duttchen, Julena Foglia, Michael Greene, Ashley Hinther, Kendra Houston, Thomas Jared McCormick, Jennifer Mikhayel, Sam Montasser, Alex Ragan, Andrew Suen, Adrianna Woolsey, Hai Chuan Yu, Duane Funk, Stephen Kowalski, Regina Legaspi, Heather McDonald, Faisal Siddiqui, Jeremy Pridham, Bernadette Rowe, Sonia Sampson, Barton Thiessen, Geoff Zbitnew, Andre Bernard, Ronald George, Philip Jones, Rita Moor, Naveed Siddiqui, Alexandra Wolfer, Diem Tran, Denyse Winch, Gary Dobson, Thomas McCormick, Osama Montasser, Richard Hall, Leyla Baghirzada, Gerard Curley, Si Yuan Dai, Gregory Hare, Esther Lee, Uma Shastri, Albert Tsui, Anmol Yagnik, Danielle Alvares, Stephen Choi, Heather Dwyer, Kathrina Flores, Colin McCartney, Priya Somascanthan, Jo Carroll, Janneth Pazmino-Canizares, Noam Ami, Vincent Chan, Anahi Perlas, Ruth Argue, Yang Huang, Katie Lavis, Kelly Mayson, Ying Cao, Hong Gao, Tingju Hu, Jie Lv, Jian Yang, Yang Yang, Yi Zhong, Jing Zhou, Xiaohua Zou, Miao He, Xiaoying Li, Dihuan Luo, Haiying Wang, Tian Yu, Liyong Chen, Lijun Wang, Yunfei Cai, Zhongming Cao, Yanling Li, Jiaxin Lian, Haiyun Sun, Sheng Wang, Zhipeng Wang, Kenru Wang, Yi Zhu, Xindan Du, Hao Fan, Yunbin Fu, Lixia Huang, Yanming Huang, Haifang Hwan, Hong Luo, Pi-Sheng Qu, Fan Tao, Zhen Wang, Guoxiang Wang, Shun Wang, Yan Zhang, Xiaolin Zhang, Chao Chen, Weixing Wang, Zhengyuan Liu, Lihua Fan, Jing Tang, Yijun Chen, Yongjie Chen, Yangyang Han, Changshun Huang, Guojin Liang, Jing Shen, Jun Wang, Qiuhong Yang, Jungang Zhen, Haidong Zhou, Junping Chen, Zhang Chen, Xiaoyu Li, Bo Meng, Haiwang Ye, Xiaoyan Zhang, Yanbing Bi, Jianqiao Cao, Fengying Guo, Hong Lin, Yang Liu, Meng Lv, Pengcai Shi, Xiumei Song, Chuanyu Sun, Yongtao Sun, Yuelan Wang, Shenhui Wang, Min Zhang, Rong Chen, Jiabao Hou, Yan Leng, Qing-tao Meng, Li Qian, Zi-ying Shen, Zhong-yuan Xia, Rui Xue, Yuan Zhang, Bo Zhao, Xian-jin Zhou, Qiang Chen, Huinan Guo, Yongqing Guo, Yuehong Qi, Zhi Wang, Jianfeng Wei, Weiwei Zhang, Lina Zheng, Qi Bao, Yaqiu Chen, Yijiao Chen, Yue Fei, Nianqiang Hu, Xuming Hu, Min Lei, Xiaoqin Li, Xiaocui Lv, Fangfang Miao, Lingling Ouyang, Lu Qian, Conyu Shen, Yu Sun, Yuting Wang, Dong Wang, Chao Wu, Liyuan Xu, Jiaqi Yuan, Lina Zhang, Huan Zhang, Yapping Zhang, Jinning Zhao, Chong Zhao, Lei Zhao, Tianzhao Zheng, Dachun Zhou, Haiyan Zhou, Ce Zhou, Kaizhi Lu, Ting Zhao, Changlin He, Hong Chen, Shasha Chen, Baoli Cheng, Jie He, Lin Jin, Caixia Li, Hui Li, Yuanming Pan, Yugang Shi, Xiao Hong Wen, Shuijing Wu, Guohao Xie, Kai Zhang, Bing Zhao, Xianfu Lu, Feifei Chen, Qisheng Liang, Xuewu Lin, Yunzhi Ling, Gang Liu, Jing Tao, Lu Yang, Jialong Zhou, Fumei Chen, Zhonggui Cheng, Hanying Dai, Yunlin Feng, Benchao Hou, Haixia Gong, Chun hua Hu, Haijin Huang, Jian Huang, Zhangjie Jiang, Mengyuan Li, Jiamei Lin, Mei Liu, Weicheng Liu, Zhen Liu, Zhiyi Liu, Foquan Luo, Longxian Ma, Jia Min, Xiaoyun Shi, Zhiping Song, Xianwen Wan, Yingfen Xiong, Lin Xu, Shuangjia Yang, Qin Zhang, Hongyan Zhang, Huaigen Zhang, Xuekang Zhang, Lili Zhao, Weihong Zhao, Weilu Zhao, Xiaoping Zhu, Yun Bai, Linbi Chen, Sijia Chen, Qinxue Dai, Wujun Geng, Kunyuan Han, Xin He, Luping Huang, Binbin Ji, Danyun Jia, Shenhui Jin, Qianjun Li, Dongdong Liang, Shan Luo, Lulu Lwang, Yunchang Mo, Yuanyuan Pan, Xinyu Qi, Meizi Qian, Jinling Qin, Yelong Ren, Yiyi Shi, Junlu Wang, Junkai Wang, Leilei Wang, Junjie Xie, Yixiu Yan, Yurui Yao, Mingxiao Zhang, Jiashi Zhao, Xiuxiu Zhuang, Yanqiu Ai, Fang Du, Long He, Ledan Huang, Zhisong Li, Huijuan Li, Yetong Li, Liwei Li, Su Meng, Yazhuo Yuan, Enman Zhang, Jie Zhang, Shuna Zhao, Zhenrong Ji, Ling Pei, Li Wang, Chen Chen, Beibei Dong, Jing Li, Ziqiang Miao, Hongying Mu, Chao Qin, Lin Su, Zhiting Wen, Keliang Xie, Yonghao Yu, Fang Yuan, Xianwen Hu, Ye Zhang, Wangpin Xiao, Zhipeng Zhu, Qingqing Dai, Kaiwen Fu, Rong Hu, Xiaolan Hu, Song Huang, Yaqi Li, Yingping Liang, Shuchun Yu, Zheng Guo, Yan Jing, Na Tang, Jie Wu, Dajiang Yuan, Ruilin Zhang, Xiaoying Zhao, Yuhong Li, Hui-Ping Bai, Chun-Xiao Liu, Fei-Fei Liu, Wei Ren, Xiu-Li Wang, Guan-Jie Xu, Na Hu, Bo Li, Yangwen Ou, Yongzhong Tang, Shanglong Yao, Shihai Zhang, Cui-Cui Kong, Bei Liu, Tianlong Wang, Wei Xiao, Bo Lu, Yanfei Xia, Jiali Zhou, Fang Cai, Pushan Chen, Shuangfei Hu, Hongfa Wang, Qiong Xu, Liu Hu, Liang Jing, Bin Li, Qiang Liu, Yuejiang Liu, Xinjian Lu, Zhen Dan Peng, Xiaodong Qiu, Quan Ren, Youliang Tong, Jin Wang, Yazhou Wen, Qiong Wu, Jiangyan Xia, Jue Xie, Xiapei Xiong, Shixia Xu, Tianqin Yang, Hui Ye, Ning Yin, Jing Yuan, Qiuting Zeng, Baoling Zhang, Kang Zheng, Jing Cang, Shiyu Chen, Yu Fan, Shuying Fu, Xiaodong Ge, Baolei Guo, Wenhui Huang, Linghui Jiang, Xinmei Jiang, Yi Liu, Yan Pan, Yun Ren, Qi Shan, Jiaxing Wang, Fei Wang, Chi Wu, Xiaoguang Zhang, Ida Cecilie Christiansen, Simon Nørgaard Granum, Bodil Steen Rasmussen, Morten Daugaard, Rajiv Gambhir, Birgitte Brandsborg, Guðný Erla Steingrímsdóttir, Peter Jensen-Gadegaard, Karsten Skovgaard Olsen, Hanna Siegel, Katrine Zwicky Eskildsen, Mona Ring Gätke, Ida Wibrandt, Simon Bisgaard Heintzelmann, Kai Henrik Wiborg Lange, Rune Sarauw Lundsgaard, Louise Amstrup-Hansen, Claus Hovendal, Michael Larsen, Mette Lenstrup, Tina Kobborg, Jens Rolighed Larsen, Anette Barbre Pedersen, Søren Hübertz Smith, Rebecca Monett Oestervig, Arash Afshari, Cheme Andersen, Kim Ekelund, Erik Lilja Secher, Helene Beloeil, Sigismond Lasocki, Alexandre Ouattara, Marlene Sineus, Serge Molliex, Marie Lim Legouge, Florent Wallet, Antoine Tesniere, Christophe Gaudin, Paul Lehur, Emma Forsans, Stéphane de Rudnicki, Valerie Serra Maudet, Didier Mutter, Ghassan Sojod, Mehdi Ouaissi, Jean-Marc Regimbeau, Jacques Desbordes, Nicolas Comptaer, Diae el Manser, Sabine Ethgen, Gilles Lebuffe, Patrick Auer, Christine Härtl, Maria Deja, Kirill Legashov, Susanne Sonnemann, Carola Wiegand-Loehnert, Elke Falk, Marit Habicher, Stefan Angermair, Beatrix Laetsch, Katrin Schmidt, Christian Von Heymann, Axel Ramminger, Florian Jelschen, Svenja Pabel, Andreas Weyland, Elke Czeslick, Jochen Gille, Michael Malcharek, Armin Sablotzki, Katharina Lueke, Peter Wetzel, Joerg Weimann, Franz-Peter Lenhart, Florian Reichle, Frederike Schirmer, Michael Hüppe, Karl Klotz, Carla Nau, Julika Schön, Thomas Mencke, Christina Wasmund, Carla Bankewitz, Georg Baumgarten, Andreas Fleischer, Vera Guttenthaler, Yvonne Hack, Katharina Kirchgaessner, Olja Männer, Marlen Schurig-Urbaniak, Rafael Struck, Rebekka van Zyl, Maria Wittmann, Ulrich Goebel, Sarah Harris, Siegfried Veit, Evangelia Andreadaki, Flora Souri, Ioannis Katsiadramis, Anthi Skoufi, Maria Vasileiou, Eleni Aimoniotou- Georgiou, Anastasios Katsourakis, Fotini Veroniki, Glyceria Vlachogianni, Konstantina Petra, Dimitra Chlorou, Eirini Oloktsidou, Vasileios Ourailoglou, Konstantinos Papapostolou, Georgia Tsaousi, Panagoula Daikou, Georgia Dedemadi, Ioannis Kalaitzopoulos, Christos Loumpias, Sotirios Bristogiannis, Nikolaos Dafnios, Georgios Gkiokas, Elissaios Kontis, Dimitra Kozompoli, Aspasia Papailia, Theodosios Theodosopoulos, Christol Bizios, Anastasia Koutsikou, Aleaxandra Moustaka, Ioannis Plaitakis, Apostolos Armaganidis, Theodora Christodoulopoulou, Mihail Lignos, Maria Theodorakopoulou, Andreas Asimakos, Eleni Ischaki, Angeliki Tsagkaraki, Spyros Zakynthinos, Eleni Antoniadou, Ioannis Koutelidakis, Dimitrios Lathyris, Irene Pozidou, Nikolaos Voloudakis, Maria Dalamagka, Gkonezou Elena, Christos Chronis, Dimitra Manolakaki, Dimitris Mosxogiannidis, Tatiana Slepova, Isaia-sissy Tsakiridou, Claire Lampiri, Anastasia Vachlioti, Christos Panagiotakis, Dimitrios Sfyras, Fotios Tsimpoukas, Athanasia Tsirogianni, Elena Axioti, Andreas Filippopoulos, Elli Kalliafa, George Kassavetis, Petros Katralis, Ioannis Komnos, Georgios Pilichos, Ifigenia Ravani, Antonis Totis, Eymorfia Apagaki, Andromachi Efthymiadi, Nikolaos Kampagiannis, Theoniki Paraforou, Agoritsa Tsioka, Georgios Georgiou, Aristeidis Vakalos, Aggeliki Bairaktari, Efthimios Charitos, George Markou, Panagiota Niforopoulou, Nikolaos Papakonstantinou, Evdoxia Tsigou, Archontoula Xifara, Menelaos Zoulamoglou, Panagiota Gkioni, Stylianos Karatzas, Aikaterini Kyparissi, Efstratios Mainas, Ioannis Papapanagiotou, Theonymfi Papavasilopoulou, George Fragandreas, Eleni Georgopoulou, Eleni Katsika, Kyriakos Psarras, Eirini Synekidou, Maria Verroiotou, Evangelia Vetsiou, Donika Zaimi, Athina Anagnou, Konstantinos Apostolou, Theodora Melissopoulou, Theophilos Rozenberg, Christos Tsigris, Georgios Boutsikos, Vasileios Kalles, Nikolaos Kotsalas, Christina Lavdaiou, Fotini Paikou, Georgia-Laura Panagou, Anna Spring, Ioannis Botis, Maria Drimala, Georgios Georgakakis, Ellada Kiourtzieva, Panagiota Ntouma, Apostolos Prionas, Kyriakos Xouplidis, Eleftheria Dalampini, Chrysavgi Giannaki, Christina Iasonidou, Orestis Ioannidis, Athina Lavrentieva, Athena Lavrentieva, George Papageorgiou, Maria Kokkinoy, Maria Stafylaraki, Stylianos Gaitanakis, Periclis Karydakis, Josef Paltoglou, Panagiotis Ponireas, Panagiotis Chaloulis, Athanasios Provatidis, Anisoglou Sousana, Varvara Vanessa Gardikou, Maria Konstantivelli, Olga Lataniotou, Elisavet Lisari, Maria Margaroni, Konstantinos Stamatiou, Edouardos Nikolaidis, Ioannis Pnevmatikos, Eleni Sertaridou, Alexandros Andreou, Eleni Arkalaki, Elias Athanasakis, Fotini Chaniotaki, Chatzimichali Aikaterini Chatzimichali, Maria Christofaki, Despina Dermitzaki, Klara Fiorentza, Georgios Frantzeskos, Elisavet Geromarkaki, Kalliopi Kafkalaki, Marina Kalogridaki, Konstyllia Karydi, Sofia Kokkini, Georgios Kougentakis, Tatiana Lefaki, Emmanouhl Lilitsis, Aikaterini Makatounaki, Polychronis Malliotakis, Dimosthenis Michelakis, Maria Neonaki, Vasileia Nyktari, Iliana Palikyra, Eleftherios Papadakis, Alexandra Papaioannou, Konstantinos Sfakianakis, Maria Sgouraki, Xenia Souvatzis, Anastasia Spartinou, Nefeli Stefanidou, Paulina Syrogianni, Georgia Tsagkaraki, Elena Arnaoutoglou, Christina Arnaoutoglou, Christina Bali, Vasilios Bouris, Rodamanthos Doumos, Konstantia-Paraskevi Gkini, Clio Kapaktsi, Vasilios Koulouras, Arian Lena, Dimitra Lepida, Evangelos Michos, Dimitrios Papadopoulos, Minas Paschopoulos, Vaia Aliki Rompou, Ioanna Siouti, Stavros Tsampalas, Ourania Ververidou, Georgios Zilis, Alexandra Charlalampidoy, Gregory Christodoulidis, Andreas Flossos, Konstantinos Stamoulis, Matthew Chan, Man Shing Caleb Tsang, Man Shing Tsang, Man Ling Lai, Chi Pang Yip, Hey Man Heymans Chan, Bassanio Law, Wing Sze Li, Hiu Man Chu, Emily Gar Yee Koo, Chi Cheong Joe Lam, Ka Ho Cheng, Tracy Lam, Susanna Chu, Wing yan Lam, Kin Wai Kevin Wong, Dilys Kwok, Ching Yue Janice Hung, Wai Kit Jacky Chan, Wing Lam Wong, Chun Kwong Eric Chung, Shu Kai Ma, Shuchi Kaushik, Bhagyesh Shah, Dhiren Shah, Sanjay Shah, Praburaj Ar, Radhakrishnan Muthuchellappan, Vandana Agarwal, Jigeeshu Divatia, Sanghamitra Mishra, Ganesh Nimje, Swati Pande, Sukhada Savarkar, Aditi Shrivastava, Martin Thomas, Shashikant Yegnaram, Rahmat Hidayatullah, Nasman Puar, Sumara Niman, Imai Indra, Zulkarnain Hamzah, Annika Yuliana, Ucu Nurhadiat Abidin, Ade Nurkacan Dursin, Andri Kurnia, Ade Susanti, Dini Handayani, Mahaalit Aribawa Alit, Aryabiantara Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima Wima, Wiryana Made Wir, Brillyan Jehosua, Jonathan Kaunang, Eka Yudha Lantang, Rini Najoan, Neil Waworuntu, Hadi Awad, Akram Fuad, Burair Geddoa, Abdel Razzaq Khalaf, Sabah Al hussaini, Safauldeensalem Albaj, Maithem Kenber, Alessandra Bettinelli, Savino Spadaro, Carlo AlbertoVolta, Luigi Giancarlo, Vicari Sottosanti, Elisa Copetti, Lorenzo Spagnesi, Ilaria Toretti, Chiara Alloj, Silvano Cardellino, Livio Carmino, Eleonora Costanzo, Lucia Caterina Fanfani, Maria Teresa Novelli, Agostino Roasio, Mattia Bellandi, Luigi Beretta, Elena Bignami, Speranza Bocchino, Luca Cabrini, Daniele Corti, Giovanni Landoni, Roberta Meroni, Elena Moizo, Giacomo Monti, Margherita Pintaudi, Valentina Paola Plumari, Daiana Taddeo, Valentina Testa, Dario Winterton, Alberto Zangrillo, Luigi Maria Cloro, Chiara Colangelo, Antonio Colangelo, Giuseppe Rotunno, Miguel Angel Paludi, Cloro Paolo Maria, Antonio Pata, Vieri Parrini, Alessandro Gatta, Mauro Nastasi, Carla Tinti, Antonio Baroselli, Mario Arrigo, Angelo Benevento, Corrado Bottini, Maurizio Cannavo', Christian Gastaldi, Alessandro Marchesi, Angelantonio Pascazio, Francesco Pata, Emilio Pozzi, Alberto Premoli, Gaetano Tessera, Luca Boschi, Rocco D'Andrea, Federico Ghignone, Gilberto Poggioli, Andrea Sibilio, Mario Taffurelli, Giampaolo Ugolini, Mohd Azuan Ab Majid, Rusnah Ab Rahman, James Joseph, Furquan Pathan, Mohammad Hafizshah Sybil Shah, Huey Ling Yap, Seleen Cheah, Im Im Chin, Ji Keon Looi, Siew Ching Tan, Sheshendrasurian Visvalingam, Fan Yin Kwok, Chew Kiok Lee, Tse Siang Tan, Sze Meng Wong, Noor Hairiza Abdullah, Chiat Fong Liew, Lovenia Luxuman, Nor Hafizah Mohd Zin, Muhamad Faiz Norddin, Raja Liza Raja Alias, Juan Yong Wong, Johnny Yong, Mohd Tarmimi Bin Mustapha, Weng Ken Chan, Norizawati Dzulkipli, Pei Xuan Kuan, Yew Ching Lee, Anita Alias, Eng Ching Guok, Chiun Chen Jee, Brian Rhadamantyne Ramon, Cheng Weng Wong, Fara Nur Idayu Abd Ghafar, Faizal Zuhri Aziz, Nabilah Hussain, Hooi Sean Lee, Ismawaty Sukawi, Yuan Liang Woon, Husni Zaeem Abd Hadi, Ummi Azmira Ahmad Azam, Abdul Hafiz Alias, Saiful Aizar Kesut, Jun May Lee, Dar Vin Ooi, Hetty Ayuni Sulaiman, Tengku Alini Tengku Lih, Jeyaganesh Veerakumaran, Eder Rojas, Gerardo Esteban Alvarez Resendiz, Darcy Danitza Mari Zapata, Julio Cesar Jesús Aguilar López, Armando Adolfo Alvarez Flores, Juan Carlos Bravo Amador, Erendira Jocelin Dominguez Avila, Laura Patricia González Aquino, Ricardo Lopez Rodriguez, Mariana Torres Landa, Emma Urias, Markus 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Branagan, Monica Hutton, Andrew Swain, Jamie Brookes, Jonathan Cornell, Rachael Dolan, Jonathan Hulme, Amanda Jansen van Vuuren, Tom Jowitt, Gunasheela Kalashetty, Fran Lloyd, Kiran Patel, Nicholas Sherwood, Lynne Brown, Ben Chandler, Kerry Deighton, Temlett Emma, Kirsty Haunch, Michelle Cheeseman, Kathy Dent, Sanjeev Garg, Carol Gray, Marion Hood, Dawn Jones, Joanne Juj, Roshan Rao, Tara Walker, Mashel Al Anizi, Clarissa Cheah, Yushio Cheing, Francisco Coutinho, Prisca Gondo, Bernard Hadebe, Mazvangu Onie Hove, null Ahamed khader, Bobby Krishnachetty, Karen Rhodes, Jagdish Sokhi, Katie-Anne Baker, Wendy Bertram, Alex Looseley, Ronelle Mouton, George Hanna, Glenn Arnold, Shobhit Arya, Danai Balfoussia, Linden Baxter, James Harris, Craig Jones, Alison Knaggs, Sheraz Markar, Anisha Perera, Alasdair Scott, Asako Shida, Ravneet Sirha, Sally Wright, Victoria Frost, Catherine Gray, Emma Andrews, Lindsay Arrandale, Stephen Barrett, Elna Cifra, Mariese Cooper, Dragos Dragnea, Cifra Elna, Jennifer Maclean, Sonja Meier, Donald Milliken, Christopher Munns, Nadir Ratanshi, Suneil Ramessur, Abegail Salvana, Anthony Watson, Hani Ali, Gill Campbell, Rebecca Critchley, Simon Endersby, Catherine Hicks, Alison Liddle, Marc Pass, Charlotte Ritchie, Charlotte Thomas, Lingxi Too, Sarah Welsh, Talvinder Gill, Joanne Johnson, Joanne Reed, Edward Davis, Sam Papadopoullos, Clare Attwood, Andrew Biffen, Kerenza Boulton, Sophie Gray, David Hay, Sarah Mills, Jane Montgomery, Rory Riddell, James Simpson, Neeraj Bhardwaj, Elaine Paul, Nosakhare Uwubamwen, Maini Alexander, James Arrich, Swarna Arumugam, Douglas Blackwood, Victoria Boggiano, Robyn Brown, Yik Lam Chan, Devnandan Chatterjee, Ashok Chhabra, Rachel Christian, Hannah Costelloe, Madeline Coxwell Matthewman, Emma Dalton, Julia Darko, Maria Davari, Tejal Dave, Matthew Deacon, Shantal Deepak, Holly Edmond, Jessica Ellis, Ahmed El-Sayed, Philip Eneje, Rose English, Renee Ewe, William Foers, John Franklin, Laura Gallego, Emily Garrett, Olivia Goldberg, Harry Goss, Rosanna Greaves, Rudy Harris, Charles Hennings, Eleanor Jones, Nelson Kamali, Naomi Kokkinos, Carys Lewis, Leda Lignos, Evaleen Victoria Malgapo, Rizwana Malik, Andrew Milne, John-Patrick Mulligan, Philippa Nicklin, Natasha Palipane, Thomas Parsons, Rebecca Piper, Rohan Prakash, Byron Ramesh, Sarah Rasip, Jacob Reading, Mariam Rela, Anna Reyes, Robert Stephens, Martin Rooms, Karishma Shah, Henry Simons, Shalil Solanki, Emma Spowart, Amy Stevens, Christopher Thomas, Helena Waggett, Arrash Yassaee, Anthony Kennedy, Sara Scott, Sameer Somanath, Andrew Berg, Miguel Hernandez, Rajesh Nanda, Ghanshyambhai Tank, Natalie Wilson, Debbie Wilson, Yassr Al-Soudaine, Matthew Baldwin, Julie Cornish, Zoe Davies, Leigh Davies, Marc Edwards, Natasha Frewer, Sian Gallard, James Glasbey, Rhiannon Harries, Luke Hopkins, Taeyang Kim, Vilavan Koompirochana, Simon Lawson, Megan Lewis, Zaid Makzal, Sarah Scourfield, Yousra Ahmad, Sarah Bates, Clare Blackwell, Helen Bryant, Hannah Collins, Suzanne Coulter, Ross Cruickshank, Sonya Daniel, Thomas Daubeny, Mark Edwards, Kim Golder, Lesley Hawkins, Bryant Helen, Honor Hinxman, Denny Levett, Karen Salmon, Leanne Seaward, Ben Skinner, Bryony Tyrell, Beverley Wadams, Joseph Walsgrove, Jane Dickson, Kathryn Constantin, Markwell Karen, Peter O'Brien, Lynn O'Donohoe, Hannah Payne, Saul Sundayi, Elaine Walker, Jenny Brooke, Jon Cardy, Sally Humphreys, Laura Kessack, Christiane Kubitzek, Suhas Kumar, Donna Cotterill, Emil Hodzovic, Gurunath Hosdurga, Edward Miles, Glenn Saunders, Marta Campbell, Peter Chan, Kim Jemmett, Ashok Raj, Aditi Naik, Ayo Oshowo, Rajarajan Ramamoorthy, Nimesh Shah, Axel Sylvan, Katharine Blyth, Andrew Burtenshaw, David Freeman, Emily Johnson, Philip Lo, Terry Martin, Emma Plunkett, Julie Wollaston, Joanna Allison, Christine Carroll, Nicholas Craw, Sarah Craw, Tressy Pitt-Kerby, Rebecca Rowland-Axe, Katie Spurdle, Andrew McDonald, Davies Simon, Vivek Sinha, Thomas Smith, Valerie Banner-Goodspeed, Myles Boone, Kathleen Campbell, Fengxin Lu, Joseph Scannell, Julia Sobol, Naraida Balajonda, Karen Clemmons, Carlos Conde, Magdi Elgasim, Bonita Funk, Roger Hall, Thomas Hopkins, Omowunmi Olaleye, Omer Omer, Michelle Pender, Angelo Porto, Alice Stevens, Peter Waweru, Erlinda Yeh, Daniella Bodansky, Adam Evans, Steven Kleopoulos, Robert Maril, Edward Mathney, Angela Sanchez, Elizabeth Tinuoye, Brian Bateman, Kristen Eng, Ning Jiang, Karim Ladha, Joseph Needleman, Lee-lynn Chen, Rondall Lane, David Robinowitz, Neil Ghushe, Mariam Irshad, John O'Connor, Samir Patel, Steven Takemoto, Art Wallace, Michael Mazzeffi, Peter Rock, Karin Wallace, Xiaomao Zhu, Pandora Chua, Matthew Mattera, Rebecca Sharar, Stephan Thilen, Miriam Treggiari, Angela Morgan, Iwan Sofjan, Kathirvel Subramaniam, Michael Avidan, Hannah Maybrier, Maxwell Muench, Troy Wildes, Faculty of Economic and Social Sciences and Solvay Business School, Anesthesiology research group, Supporting clinical sciences, Anesthesiology, Queen Mary University of London (QMUL), Royal Free Hospital [London, UK], NHS Foundation Trust [London], The Royal Marsden, University of Cape Town, Linköping university hospital, University of Edinburgh, Abbott, T E F, Ahmad, T, Phull, M K, Fowler, A J, Hewson, R, Biccard, B M, Chew, M S, Gillies, M, Pearse RM, Beattie S, Clavien PA, Demartines N, Fleisher LA, Grocott M, Haddow J, Hoeft A, Holt P, Moreno R, Pritchard N, Rhodes A, Wijeysundera D, Wilson M, Ahmed T, Everingham K, Hewson R, Januszewska M, Phull MK, Halliwell R, Shulman M, Myles P, Schmid W, Hiesmayr M, Wouters P, de Hert S, Lobo S, Fang X, Rasmussen L, Futier E, Biais M, Venara A, Slim K, Sander M, Koulenti D, Arvaniti K, Chan M, Kulkarni A, Chandra S, Tantri A, Geddoa E, Abbas M, Della Rocca G, Sivasakthi D, Mansor M, Luna P, Bouwman A, Buhre W, Beavis V, Campbell D, Short T, Osinaike T, Matos R, Grigoras I, Kirov M, Protsenko D, Biccard B, Aldecoa C, Chew M, Hofer C, Hubner M, Ditai J, Szakmany T, Fleisher L, Ferguson 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Kliemann M, Hubert Ribeiro GL, Fraga JM, Netto TM, Pozza LV, Wendling PR, Azevedo C, Garcia J, Lopes M, Maia B, Maselli P, Melo R, Mendes W, Neves M, Ney J, Piras C, Applewhaite C, Carr A, Chow L, Duttchen K, Foglia J, Greene M, Hinther A, Houston K, McCormick TJ, Mikhayel J, Montasser S, Ragan A, Suen A, Woolsey A, Yu HC, Funk D, Kowalski S, Legaspi R, McDonald H, Siddiqui F, Pridham J, Rowe B, Sampson S, Thiessen B, Zbitnew G, Bernard A, George R, Jones P, Moor R, Siddiqui N, Wolfer A, Tran D, Winch D, Dobson G, McCormick T, Montasser O, Hall R, Baghirzada L, Curley G, Dai SY, Hare G, Lee E, Shastri U, Tsui A, Yagnik A, Alvares D, Choi S, Dwyer H, Flores K, McCartney C, Somascanthan P, Carroll J, Pazmino-Canizares J, Wolfer A, Ami N, Chan V, Perlas A, Argue R, Huang Y, Lavis K, Mayson K, Cao Y, Gao H, Hu T, Lv J, Yang J, Yang Y, Zhong Y, Zhou J, Zou X, He M, Li X, Luo D, Wang H, Yu T, Chen L, Wang L, Cai Y, Cao Z, Li Y, Lian J, Sun H, Wang S, Wang Z, Wang K, Zhu Y, Du X, Fan H, Fu Y, Huang L, Huang Y, Hwan H, Luo H, Qu PS, Tao F, Wang Z, Wang G, Wang S, Zhang Y, Zhang X, Chen C, Wang W, Liu Z, Fan L, Tang J, Chen Y, Chen Y, Han Y, Huang C, Liang G, Shen J, Wang J, Yang Q, Zhen J, Zhou H, Chen J, Chen Z, Li X, Meng B, Ye H, Zhang X, Bi Y, Cao J, Guo F, Lin H, Liu Y, Lv M, Shi P, Song X, Sun C, Sun Y, Wang Y, Wang S, Zhang M, Chen R, Hou J, Leng Y, Meng QT, Qian L, Shen ZY, Xia ZY, Xue R, Zhang Y, Zhao B, Zhou XJ, Chen Q, Guo H, Guo Y, Qi Y, Wang Z, Wei J, Zhang W, Zheng L, Bao Q, Chen Y, Chen Y, Fei Y, Hu N, Hu X, Lei M, Li X, Lv X, Miao F, Ouyang L, Qian L, Shen C, Sun Y, Wang Y, Wang D, Wu C, Xu L, Yuan J, Zhang L, Zhang H, Zhang Y, Zhao J, Zhao C, Zhao L, Zheng T, Zhou D, Zhou H, Zhou C, Lu K, Zhao T, He C, Chen H, Chen S, Cheng B, He J, Jin L, Li C, Li H, Pan Y, Shi Y, Wen XH, Wu S, Xie G, Zhang K, Zhao B, Lu X, Chen F, Liang Q, Lin X, Ling Y, Liu G, Tao J, Yang L, Zhou J, Chen F, Cheng Z, Dai H, Feng Y, Hou B, Gong H, Hu CH, Huang H, Huang J, Jiang Z, Li M, Lin J, Liu M, Liu W, Liu Z, Liu Z, Luo F, Ma L, Min J, Shi X, Song Z, Wan X, Xiong Y, Xu L, Yang S, Zhang Q, Zhang H, Zhang H, Zhang X, Zhao L, Zhao W, Zhao W, Zhu X, Bai Y, Chen L, Chen S, Dai Q, Geng W, Han K, He X, Huang L, Ji B, Jia D, Jin S, Li Q, Liang D, Luo S, Lwang L, Mo Y, Pan Y, Qi X, Qian M, Qin J, Ren Y, Shi Y, Wang J, Wang J, Wang L, Xie J, Yan Y, Yao Y, Zhang M, Zhao J, Zhuang X, Ai Y, Du F, He L, Huang L, Li Z, Li H, Li Y, Li L, Meng S, Yuan Y, Zhang E, Zhang J, Zhao S, Ji Z, Pei L, Wang L, Chen C, Dong B, Li J, Miao Z, Mu H, Qin C, Su L, Wen Z, Xie K, Yu Y, Yuan F, Hu X, Zhang Y, Xiao W, Zhu Z, Dai Q, Fu K, Hu R, Hu X, Huang S, Li Y, Liang Y, Yu S, Guo Z, Jing Y, Tang N, Wu J, Yuan D, Zhang R, Zhao X, Li Y, Bai HP, Liu CX, Liu FF, Ren W, Wang XL, Xu GJ, Hu N, Li B, Ou Y, Tang Y, Yao S, Zhang S, Kong CC, Liu B, Wang T, Xiao W, Lu B, Xia Y, Zhou J, Cai F, Chen P, Hu S, Wang H, Xu Q, Hu L, Jing L, Li B, Liu Q, Liu Y, Lu X, Peng ZD, Qiu X, Ren Q, Tong Y, Wang J, Wen Y, Wu Q, Xia J, Xie J, Xiong X, Xu S, Yang T, Ye H, Yin N, Yuan J, Zeng Q, Zhang B, Zheng K, Cang J, Chen S, Fan Y, Fu S, Ge X, Guo B, Huang W, Jiang L, Jiang X, Liu Y, Pan Y, Ren Y, Shan Q, Wang J, Wang F, Wu C, Zhang X, Christiansen IC, Granum SN, Rasmussen BS, Daugaard M, Gambhir R, Brandsborg B, Steingrímsdóttir GE, Jensen-Gadegaard P, Olsen KS, Siegel H, Eskildsen KZ, Gätke MR, Wibrandt I, Heintzelmann SB, Wiborg Lange KH, Lundsgaard RS, Amstrup-Hansen L, Hovendal C, Larsen M, Lenstrup M, Kobborg T, Larsen JR, Pedersen AB, Smith SH, Oestervig RM, Afshari A, Andersen C, Ekelund K, Secher EL, Beloeil H, Lasocki S, Ouattara A, Sineus M, Molliex S, Legouge ML, Wallet F, Tesniere A, Gaudin C, Lehur P, Forsans E, de Rudnicki S, Maudet VS, Mutter D, Sojod G, Ouaissi M, Regimbeau JM, Desbordes J, Comptaer N, Manser DE, Ethgen S, Lebuffe G, Auer P, Härtl C, Deja M, Legashov K, Sonnemann S, Wiegand-Loehnert C, Falk E, Habicher M, Angermair S, Laetsch B, Schmidt K, Von Heymann C, Ramminger A, Jelschen F, Pabel S, Weyland A, Czeslick E, Gille J, Malcharek M, Sablotzki A, Lueke K, Wetzel P, Weimann J, Lenhart FP, Reichle F, Schirmer F, Hüppe M, Klotz K, Nau C, Schön J, Mencke T, Wasmund C, Bankewitz C, Baumgarten G, Fleischer A, Guttenthaler V, Hack Y, Kirchgaessner K, Männer O, Schurig-Urbaniak M, Struck R, van Zyl R, Wittmann M, Goebel U, Harris S, Veit S, Andreadaki E, Souri F, Katsiadramis I, Skoufi A, Vasileiou M, Aimoniotou-Georgiou E, Katsourakis A, Veroniki F, Vlachogianni G, Petra K, Chlorou D, Oloktsidou E, Ourailoglou V, Papapostolou K, Tsaousi G, Daikou P, Dedemadi G, Kalaitzopoulos I, Loumpias C, Bristogiannis S, Dafnios N, Gkiokas G, Kontis E, Kozompoli D, Papailia A, Theodosopoulos T, Bizios C, Koutsikou A, Moustaka A, Plaitakis I, Armaganidis A, Christodoulopoulou T, Lignos M, Theodorakopoulou M, Asimakos A, Ischaki E, Tsagkaraki A, Zakynthinos S, Antoniadou E, Koutelidakis I, Lathyris D, Pozidou I, Voloudakis N, Dalamagka M, Elena G, Chronis C, Manolakaki D, 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S, Lam WY, Wong KWK, Kwok D, Hung CYJ, Chan WKJ, Wong WL, Chung CKE, Ma SK, Kaushik S, Shah B, Shah D, Shah S, Ar P, Muthuchellappan R, Agarwal V, Divatia J, Mishra S, Nimje G, Pande S, Savarkar S, Shrivastava A, Thomas M, Yegnaram S, Hidayatullah R, Puar N, Niman S, Indra I, Hamzah Z, Yuliana A, Abidin UN, Dursin AN, Kurnia A, Susanti A, Handayani D, Alit MA, Arya A, Senapathi TGA, Utara UH, Wid WM, Wima S, Wir WM, Jehosua B, Kaunang J, Lantang EY, Najoan R, Waworuntu N, Awad H, Fuad A, Geddoa B, Khalaf AR, Al Hussaini S, Albaj S, Kenber M, Bettinelli A, Spadaro S, AlbertoVolta C, Giancarlo L, Sottosanti V, Copetti E, Spagnesi L, Toretti I, Alloj C, Cardellino S, Carmino L, Costanzo E, Fanfani LC, Novelli MT, Roasio A, Bellandi M, Beretta L, Bignami E, Bocchino S, Cabrini L, Corti D, Landoni G, Meroni R, Moizo E, Monti G, Pintaudi M, Plumari VP, Taddeo D, Testa V, Winterton D, Zangrillo A, Cloro LM, Colangelo C, Colangelo A, Rotunno G, Paludi MA, Maria CP, Pata A, Parrini V, Gatta A, 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D, Wickboldt N, Baldwin J, Doyle D, Mcmullan S, Oladapo M, Owen T, Williams A, Daniel H, Gregory P, Husain T, Kirk-Bayley J, Mathers E, Montague L, Harper M, White S, Jack J, Ridley C, Avis J, Cook T, Dali-Kemmery L, Kerslake I, Lambourne V, Pearson A, Boyd C, Callaghan M, Lawson C, McCrossan R, Nesbitt V, O'connor L, Scott J, Sinclair R, Farid N, Morgese C, Bhatia K, Karmarkar S, Ahmed J, Branagan G, Hutton M, Swain A, Brookes J, Cornell J, Dolan R, Hulme J, Jansen van Vuuren A, Jowitt T, Kalashetty G, Lloyd F, Patel K, Sherwood N, Brown L, Chandler B, Deighton K, Emma T, Haunch K, Cheeseman M, Dent K, Garg S, Gray C, Hood M, Jones D, Juj J, Rao R, Walker T, Al Anizi M, Cheah C, Cheing Y, Coutinho F, Gondo P, Hadebe B, Hove MO, Ahamed Khader, Krishnachetty B, Rhodes K, Sokhi J, Baker KA, Bertram W, Looseley A, Mouton R, Hanna G, Arnold G, Arya S, Balfoussia D, Baxter L, Harris J, Jones C, Knaggs A, Markar S, Perera A, Scott A, Shida A, Sirha R, Wright S, Frost V, Gray C, Andrews E, 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M, Shah K, Simons H, Solanki S, Spowart E, Stevens A, Thomas C, Waggett H, Yassaee A, Kennedy A, Scott S, Somanath S, Berg A, Hernandez M, Nanda R, Tank G, Wilson N, Wilson D, Al-Soudaine Y, Baldwin M, Cornish J, Davies Z, Davies L, Edwards M, Frewer N, Gallard S, Glasbey J, Harries R, Hopkins L, Kim T, Koompirochana V, Lawson S, Lewis M, Makzal Z, Scourfield S, Ahmad Y, Bates S, Blackwell C, Bryant H, Collins H, Coulter S, Cruickshank R, Daniel S, Daubeny T, Edwards M, Golder K, Hawkins L, Helen B, Hinxman H, Levett D, Salmon K, Seaward L, Skinner B, Tyrell B, Wadams B, Walsgrove J, Dickson J, Constantin K, Karen M, O'Brien P, O'Donohoe L, Payne H, Sundayi S, Walker E, Brooke J, Cardy J, Humphreys S, Kessack L, Kubitzek C, Kumar S, Cotterill D, Hodzovic E, Hosdurga G, Miles E, Saunders G, Campbell M, Chan P, Jemmett K, Raj A, Naik A, Oshowo A, Ramamoorthy R, Shah N, Sylvan A, Blyth K, Burtenshaw A, Freeman D, Johnson E, Lo P, Martin T, Plunkett E, Wollaston J, Allison J, Carroll C, Craw N, Craw S, Pitt-Kerby T, Rowland-Axe R, Spurdle K, McDonald A, Simon D, Sinha V, Smith T, Banner-Goodspeed V, Boone M, Campbell K, Lu F, Scannell J, Sobol J, Balajonda N, Clemmons K, Conde C, Elgasim M, Funk B, Hall R, Hopkins T, Olaleye O, Omer O, Pender M, Porto A, Stevens A, Waweru P, Yeh E, Bodansky D, Evans A, Kleopoulos S, Maril R, Mathney E, Sanchez A, Tinuoye E, Bateman B, Eng K, Jiang N, Ladha K, Needleman J, Chen LL, Lane R, Robinowitz D, Ghushe N, Irshad M, O'Connor J, Patel S, Takemoto S, Wallace A, Mazzeffi M, Rock P, Wallace K, Zhu X, Chua P, Mattera M, Sharar R, Thilen S, Treggiari M, Morgan A, Sofjan I, Subramaniam K, Avidan M, Maybrier H, Muench M, Wildes T., Université de Lille, CHU Lille, Queen Mary University of London [QMUL], Graduate School, Medical Microbiology and Infection Prevention, Clinical Immunology and Rheumatology, 01 Internal and external specialisms, ACS - Heart failure & arrhythmias, AGEM - Endocrinology, metabolism and nutrition, APH - Quality of Care, ACS - Diabetes & metabolism, AII - Amsterdam institute for Infection and Immunity, ACS - Microcirculation, Pearse, R M, International Surgical Outcomes Study (ISO), Group, Zangrillo, A, Landoni, G, Beretta, L., International Surgical Outcomes Study (ISOS) group, Pearse, R.M., Beattie, S., Clavien, P.A., Demartines, N., Fleisher, L.A., Grocott, M., Haddow, J., Hoeft, A., Holt, P., Moreno, R., Pritchard, N., Rhodes, A., Wijeysundera, D., Wilson, M., Ahmed, T., Everingham, K., Hewson, R., Januszewska, M., Phull, M.K., Halliwell, R., Shulman, M., Myles, P., Schmid, W., Hiesmayr, M., Wouters, P., de Hert, S., Lobo, S., Fang, X., Rasmussen, L., Futier, E., Biais, M., Venara, A., Slim, K., Sander, M., Koulenti, D., Arvaniti, K., Chan, M., Kulkarni, A., Chandra, S., Tantri, A., Geddoa, E., Abbas, M., Della Rocca, G., Sivasakthi, D., Mansor, M., Luna, P., Bouwman, A., Buhre, W., Beavis, V., Campbell, D., Short, T., Osinaike, T., Matos, R., Grigoras, I., Kirov, M., Protsenko, D., 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Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
Subjects: Male, Postoperative Complications/epidemiology, Hospital mortality, [SDV]Life Sciences [q-bio], surgery, Postoperative Complications, 0302 clinical medicine, cohort studies, 030202 anesthesiology, patient safety, 030212 general & internal medicine, Postoperative Period, Medicine(all), Middle Aged, Checklist, 3. Good health, Treatment Outcome, operative/mortality, Elective Surgical Procedures, Surgical Procedures, Operative, Meta-analysis, Cohort, Cohort studies, Female, Elective Surgical Procedure, postoperative care/methods, postoperative care/statistics and numerical data, surgical procedures, Anesthesiology and Pain Medicine, Cohort study, Adult, medicine.medical_specialty, Evidence-based medicine, NO, 03 medical and health sciences, Patient safety, medicine, postoperative care/method, Humans, Elective Surgical Procedures/standards, Aged, Cohort Studies, Evidence-Based Medicine, Hospital Mortality, Patient Safety, Postoperative Complications/mortality, Postoperative Complications/prevention & control, Surgical Procedures, Operative/methods, business.industry, Odds ratio, Surgery, Observational study, business, cohort studie
Abstract: BACKGROUND: The surgical safety checklist is widely used to improve the quality of perioperative care. However, clinicians continue to debate the clinical effectiveness of this tool.METHODS: Prospective analysis of data from the International Surgical Outcomes Study (ISOS), an international observational study of elective in-patient surgery, accompanied by a systematic review and meta-analysis of published literature. The exposure was surgical safety checklist use. The primary outcome was in-hospital mortality and the secondary outcome was postoperative complications. In the ISOS cohort, a multivariable multi-level generalized linear model was used to test associations. To further contextualise these findings, we included the results from the ISOS cohort in a meta-analysis. Results are reported as odds ratios (OR) with 95% confidence intervals.RESULTS: We included 44 814 patients from 497 hospitals in 27 countries in the ISOS analysis. There were 40 245 (89.8%) patients exposed to the checklist, whilst 7508 (16.8%) sustained ≥1 postoperative complications and 207 (0.5%) died before hospital discharge. Checklist exposure was associated with reduced mortality [odds ratio (OR) 0.49 (0.32-0.77); PCONCLUSIONS: Patients exposed to a surgical safety checklist experience better postoperative outcomes, but this could simply reflect wider quality of care in hospitals where checklist use is routine.
Published: 2018
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24. Continuous instruction of DATCPR chest compressions until handover by paramedics improves neurological outcome for ventricular fibrillation of out-of-hospital cardiac arrest

Author: Ming-Zong Tsai, Chun-Hua Hu, Matthew Huei-Ming Ma, Frank Jun-Jie Chang, Mei-Fen Yang, Edward Che-Wei Liao, Hong-Yi Hsiao, Chien-Yu Chi, Yu-Wen Chen, Yao-Chang Wang, Kah-Meng Chong, Patrick Chow-In Ko, and Hui-Chih Wang
Subjects: medicine.medical_specialty, business.industry, Emergency Nursing, medicine.disease, Outcome (game theory), Out of hospital cardiac arrest, Handover, Internal medicine, Ventricular fibrillation, Emergency Medicine, Cardiology, Medicine, Cardiology and Cardiovascular Medicine, business
Published: 2019
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25. Load Transfer Behavior of Cracking for Cement Concrete Pavement

Author: Chun Hua Hu and Xiao Zhou Ma
Subjects: Cement, Cracking, Materials science, Transfer Ability, General Engineering, Shrinkage cracking, Geotechnical engineering, Bearing capacity
Abstract: In order to reduce the temperature and drying shrinkage cracking in cement concrete pavement, setting up cracks which becomes the weakest part of the cement concrete pavement. Load transfer behavior of cracking has a great influence on road performance and used lifetime in cement concrete pavement. The improvement of load transfer behavior of cracking is conducive to maintain effective load transfer between the pavement and to enhanced bearing capacity of pavement structure, also to reduce the damage of the structure, which is an important technical approach to extend the used lifetime of pavement. This paper describes the mechanism of load transfer and research status of crack, and points out the problems existing in the crack load transfer ability of research and development trend.
Published: 2015
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26. Effect of n-Na2B4O7 Additive on Tribological Performances of Ion Nitrocarburized Layer

Author: Zhi Chang Deng, Hai Jiang, Chun Hua Hu, Hai Peng Wang, and Yun Feng Du
Subjects: Materials science, Rolling resistance, Metallurgy, General Engineering, Oxide, Tribology, Nitride, Chemical reaction, Ion, chemistry.chemical_compound, chemistry, Lubrication, Composite material, Layer (electronics)
Abstract: The paper studied the effect of n-Na2B4O7additives of different content on tribological performances of the ion nitrocarburized layer. It is found that 7% n-Na2B4O7additive can improve greatly the friction reduction and wear resistance of the ion nitrocarburized layer under different conditions. This because that synergetic effect of friction reduction and wear resistance is produced between n-Na2B4O7additive and ion nitrocarburized layer under higher temperature, frequence and load, and the chemical reaction films including oxide, nitride, BN, and sulphide and so on formed on the friction surface play the solid lubrication function, and the n-Na2B4O7particles on the friction surface play the "Micron nanobearing" function, translating the sliding friction into the rolling friction, which can make the ion nitrocarburized layer possess the excellent tribological performances.
Published: 2015
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27. Effect of n-LaB4O7 Additive on Tribological Behaviors of Ion Nitrocarburized Layer at Higher Temperature

Author: Yun Kai Wang, Jun Xue, Zhi Chang Deng, Ya Zhi Li, and Chun Hua Hu
Subjects: Materials science, Metallurgy, General Engineering, Oxide, Tribology, Nitride, Ion, Metal, chemistry.chemical_compound, chemistry, visual_art, Friction reduction, Lubrication, visual_art.visual_art_medium, Composite material, Layer (electronics)
Abstract: The paper studied the effect of n-LaB4O7additives of different contents on tribological behaviors of the ion nitrocarburized layer at higher temperature. It is found that 7% n-LaB4O7additives can improve obviously the tribological performances of the ion nitrocarburized layer. This because that synergetic effect of friction reduction and wear resistance is produced between the n-LaB4O7additives and ion nitrocarburized layer under higher temperature, load and frequence, and the solid lubrication films including oxide, nitride and sulphate and so on are formed on the friction surface to separate the contact between the metal sufaces, and furthermore the n-LaB4O7particles on the friction surface play the "Micron nanobearing" function, which make the ion nitrocarburized layer have the more excellent tribological performances.
Published: 2015
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28. Preliminary Investigation of Influence Factors of Sideway Force Coefficient Using SCRIM

Author: Fang Yu and Chun Hua Hu
Subjects: Engineering, business.industry, General Medicine, Structural engineering, business, Value (mathematics), Simulation, Test (assessment), Degree (temperature)
Abstract: In this paper, advantages of the Sideway Force Coefficient Routine Investigation Machine (SCRIM) are analyzed for testing the Sideway Force Coefficient (SFC). Then influence factors are explored such as environmental conditions (test speed, test temperature, bumps degree) on the SFC test value. Furthermore some suggestion are put forward for SCRIM testing SFC value, and the safety precautions are emphasized on what drivers should pay more attention.
Published: 2015
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29. Application of Fiber Reinforced Polymer in the Structure of Continuously Reinforced Concrete Pavement

Author: Chun Hua Hu and Xiao Zhou Ma
Subjects: Fatigue resistance, Materials science, business.industry, Response analysis, Service life, Structure design, General Medicine, Structural engineering, Fibre-reinforced plastic, Reinforced concrete, Reinforcement, business, Corrosion
Abstract: Continuously Reinforced Concrete Pavement is smooth and almost needs not maintenance, which has long service life as well as a great potential application. Fiber reinforced polymer as a new type of composite materials with high strength, light weight, corrosion resistance and fatigue resistance which substitutes conventional steel rebars gives solutions to the problems caused by corrosion of reinforcement. In this paper, combined with the excellent properties of FRP rebars, FRP-CRCP is introduced in detail from structural response analysis, structure design, construction and the function of self-monitoring. Moreover, it is pointed out the problem of the design index and standard for FRP-CRCP that still needs further research.
Published: 2015
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30. 3D Visualization of Poplar Seedlings Based on ToF Camera

Author: Le Zhu, Yao Zhou, Chun-hua Hu, and Yang-zheng Wu
Subjects: business.product_category, Iterative method, Outlier, Fitting algorithm, Curve fitting, Tangent space, Filter (signal processing), Biological system, business, Visualization, Digital camera, Mathematics
Abstract: In this paper, a three-dimensional (3D) visualization method of poplar seedlings was proposed, combined with the ToF camera and digital camera. Firstly, the average distance density method was proposed and employed to process outlier of leaves. Secondly, in order to improve the speed of data fitting, the local section tangent plane normal angle method was introduced to filter redundant points and retain the necessary data, and then the control points were adopted to fit the leaf surface based on Non-Uniform Rational B-Splines (NURBS) fitting algorithm. At the same time, the trunk was fitted based on NURBS according to the control points of the trunk, and the other branches were fitted using iterative method. Finally, the three-dimensional visualization of poplar seedlings was realized. A large number of experiments were carried out, including the normal growth poplar seedlings and the water shortages poplar seedlings. The results demonstrated that the poplar seedlings visualization method proposed in this paper can quickly and accurately reflect the growth states of the poplar seedlings, especially for water-shortage detection.
Published: 2017
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31. Early Cold-Induced Peroxidases and Aquaporins Are Associated With High Cold Tolerance in Dajiao (

Author: Wei-Di, He, Jie, Gao, Tong-Xin, Dou, Xiu-Hong, Shao, Fang-Cheng, Bi, Ou, Sheng, Gui-Ming, Deng, Chun-Yu, Li, Chun-Hua, Hu, Ji-Hong, Liu, Sheng, Zhang, Qiao-Song, Yang, and Gan-Jun, Yi
Subjects: quantitative proteomics, aquaporin, food and beverages, peroxidase, Plant Science, Musa spp. ‘Dajiao’, cold tolerance, Musa spp. ‘Cavendish’, Original Research
Abstract: Banana is an important tropical fruit with high economic value. One of the main cultivars (‘Cavendish’) is susceptible to low temperatures, while another closely related specie (‘Dajiao’) has considerably higher cold tolerance. We previously reported that some membrane proteins appear to be involved in the cold tolerance of Dajiao bananas via an antioxidation mechanism. To investigate the early cold stress response of Dajiao, here we applied comparative membrane proteomics analysis for both cold-sensitive Cavendish and cold-tolerant Dajiao bananas subjected to cold stress at 10°C for 0, 3, and 6 h. A total of 2,333 and 1,834 proteins were identified in Cavendish and Dajiao, respectively. Subsequent bioinformatics analyses showed that 692 Cavendish proteins and 524 Dajiao proteins were predicted to be membrane proteins, of which 82 and 137 differentially abundant membrane proteins (DAMPs) were found in Cavendish and Dajiao, respectively. Interestingly, the number of DAMPs with increased abundance following 3 h of cold treatment in Dajiao (80) was seven times more than that in Cavendish (11). Gene ontology molecular function analysis of DAMPs for Cavendish and Dajiao indicated that they belong to eight categories including hydrolase activity, binding, transporter activity, antioxidant activity, etc., but the number in Dajiao is twice that in Cavendish. Strikingly, we found peroxidases (PODs) and aquaporins among the protein groups whose abundance was significantly increased after 3 h of cold treatment in Dajiao. Some of the PODs and aquaporins were verified by reverse-transcription PCR, multiple reaction monitoring, and green fluorescent protein-based subcellular localization analysis, demonstrating that the global membrane proteomics data are reliable. By combining the physiological and biochemical data, we found that membrane-bound Peroxidase 52 and Peroxidase P7, and aquaporins (MaPIP1;1, MaPIP1;2, MaPIP2;4, MaPIP2;6, MaTIP1;3) are mainly involved in decreased lipid peroxidation and maintaining leaf cell water potential, which appear to be the key cellular adaptations contributing to the cold tolerance of Dajiao. This membrane proteomics study provides new insights into cold stress tolerance mechanisms of banana, toward potential applications for ultimate genetic improvement of cold tolerance in banana.
Published: 2017

32. Design of Key Process Parameters Test-Bench for 1250mm2 Large Cross-Section Conductor Tension Stringing

Author: Yong Jun Xia, Wen Ming Mei, Chun Hua Hu, and Jin Miao Zhang
Subjects: Engineering, Test bench, business.industry, Tension (physics), Structural system, General Engineering, Process (computing), Mechanical engineering, Structural engineering, Conductor, Cross section (physics), Reliability (semiconductor), Limit (music), business
Abstract: This document proposed the test scheme of limit Test-bench structural system under the setting-out conditions of simulating critical state and completed the design and manufacture of the test system through conducting investigation on test methods and equipment of tension stringing construction process, combining the 1,250mm2 large cross-section conductor and construction technology requirements and based on functional positioning, optimization of combined design and force analysis of Test-bench, mechanics analysis of various parts and their connection as well as allowable stress method check. This system was closer to the actual stringing working conditions, and the obtained data were more reasonable and exact and meet the actual engineering demand. In addition, the reliability of this test system has been verified through the test of 1,250mm2 third-class large cross-section conductor.
Published: 2014
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33. Research of Test Data of Critical Process Parameters Regarding Tension Stringing Construction of 1250mm2 Large-Section Conductor

Author: Chun Hua Hu, Chao Wen, and Yong Jun Xia
Subjects: Engineering, Section (archaeology), Tension (physics), business.industry, Single factor, General Engineering, Process (computing), Mechanical engineering, business, Test data, Conductor
Abstract: The paper introduces field test on critical process parameters regarding stringing construction of 1250mm2 large-section conductor to know the effect of change in single factor among critical construction process parameters such as conductor stringing tension, envelop angle of conductor on paying-off tackles, times of conductor to pass over paying-off tackles, etc. in tension stringing process on conductor damage, analyzes test data and comes to the initial conclusion of effect exerted by tensioning parameters on conductor damage by citing the example of change in stringing tension.
Published: 2014
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34. Research on Project Test Tensioning of 1250mm2 Large-Section Conductor

Author: Yong Jun Xia, Wen Ming Mei, and Chun Hua Hu
Subjects: Engineering, business.industry, Section (archaeology), General Engineering, Structural engineering, business, Test (assessment), Conductor
Abstract: The paper introduces project test tensioning of 1250mm2 large-section conductor and validate structural stability and tensioning characteristics of newly developed 1250mm2 large-section aluminum stranded conductor, reasonability of construction processes and critical construction parameters and applicability of newly developed construction machines and tools to the conductor.
Published: 2014
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35. Preliminary Investigation of Influence of Special Testing on Bridge Structure Durability

Author: Xiao Zhou Ma, Fang Yu, Chun Hua Hu, and Qiao Zhu
Subjects: Structure (mathematical logic), Engineering, business.industry, General Engineering, Structural engineering, computer.software_genre, Durability, Bridge (nautical), Field (computer science), Test (assessment), Corrosion, Load testing, Component (UML), business, computer
Abstract: Based on bridges routine examination, special detection is in-depth and meticulous testing that according to the disease characteristics, using some expertise technology and testing equipment for steel corrosion, concrete carbonization, the thickness of the protective layer and component quality to some key parts or typical bridge opening. Bridge condition of technology can be controlled more fully and accurately through a special bridge inspection, combined with conventional test results on the status of a comprehensive assessment of structures. This may provide technical data for the next bridge inspection count and load test, moreover, according to the variation of the data in the field test, it may dedicate variation characteristic and influencing factors for damage of structural durability from these special detections.
Published: 2014
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36. Research on Knowledge Coordination Model in Engineering Project Cooperation under the Network Environment

Author: Chun Hua Hu and Bing Feng Liu
Subjects: Body of knowledge, Engineering, Knowledge management, business.industry, Knowledge integration, Knowledge engineering, Personal knowledge management, Knowledge value chain, Domain knowledge, General Medicine, business, Knowledge transfer, Knowledge sharing
Abstract: In the era of knowledge economy, under the network environment project collaborative knowledge construction has been paid more and more attention. Project team knowledge transfer between form a knowledge network, in line with the basic core in complex network theory goal-directed (edge network structure), has its uniqueness. In this paper, this paper discusses the knowledge network formation, network evolution stage, according to the knowledge sharing, knowledge transfer, knowledge learning and knowledge creation of four phases of the micro mechanism of knowledge collaboration, and points out that the body of knowledge of the cooperative intention, attitude and sense of trust, the body of knowledge of the network structure, location and neighborhood structure, the overall network effect and the types of knowledge, is an important factor affecting the knowledge synergy. Discusses the co-evolution of knowledge network project in cooperation, use the interpretative structural model to construct collaborative knowledge construction process of analogy model.
Published: 2014
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37. Analysis of the Knowledge Loss and Knowledge Grid Based on BP Neural Network

Author: Bing Feng Liu and Chun Hua Hu
Subjects: Engineering, Knowledge management, Knowledge base, business.industry, Systems architecture, Knowledge value chain, Core competency, Open Knowledge Base Connectivity, Information processing, General Medicine, business, Grid, Open Grid Services Architecture
Abstract: Knowledge resources are the key elements of the enterprise core competencies, and knowledge loss is easy to overlook the problems of enterprises, many enterprises have to pay this end expensive price, knowledge loss problem has become an important issue of the impact the survival and development of enterprises (especially in knowledge-intensive enterprises). Knowledge Grid research focus on intelligent information processing, its goal is to eliminate isolated island of information and knowledge, to realize the intelligent sharing of information resources and knowledge resources, avoid knowledge loss. From the research direction of knowledge loss and knowledge grid, this paper analysis knowledge loss based on BP neural network, discusses the open grid services architecture, knowledge grid services architecture, system architecture, in order to provide a reference for related research.
Published: 2014
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38. Friction and Wear Performances of n-Na2B4O7/Ion Nitrocarburized Duplex Layer at Different Frequences

Author: Zhi Chang Deng, Chun Hua Hu, Shan Jun Wang, Jun Xue, and Hai Tao Wang
Subjects: Materials science, Metallurgy, General Engineering, Oxide, Duplex (telecommunications), Chemical reaction, Ion, Wear resistance, chemistry.chemical_compound, chemistry, Intermediate frequency, Lubrication, Friction reduction, Composite material
Abstract: The paper studied the friction and wear performances of n-Na2B4O7/ion nitrocarburized duplex layer at different frequences. It is found that at frequence 10 Hz, 20 Hz, 30 Hz, respectively, the friction factor and volume loss of the duplex layer is 64%, 60%, 50% and 97%, 91%, 95% less than that of the intermediate frequency quenched surface, respectively, which indicates that the n-Na2B4O7/ion nitrocarburized duplex layer has more excellent friction reduction and wear resistance performances than the intermediate frequency quenched surface under CD15W-40 oil lubricating at different frequences. This because that the chemical reaction films including oxide, BN and so on formed on the friction surface play the solid lubrication function, and the n-Na2B4O7 particles on the friction surface play the "Micron nanobearing" function.
Published: 2014
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39. Study on Tribological Performances of n-Na2B4O7/ion Nitrocarburized Duplex Layer at Different Temperatures

Author: Zhi Chang Deng, Chun Hua Hu, Hai Tao Wang, Long Li, and Bao Shan Bian
Subjects: Materials science, Metallurgy, General Engineering, Oxide, Duplex (telecommunications), Tribology, Chemical reaction, Ion, chemistry.chemical_compound, Friction factor, chemistry, Lubrication, Composite material, Layer (electronics)
Abstract: The paper studied the tribological performances of n-Na2B4O7/ion nitrocarburized duplex layer at different temperatures. It is found that the n-Na2B4O7/ion nitrocarburized duplex layer has more excellent friction reduction and wear resistance performances than the intermediate frequency quenched surface under CD15W-40 oil lubricating at different temperatures, especially at the higher temperature 100°C, the friction factor and volume loss of the duplex layer is 63% and 96% less than that of the intermediate frequency quenched surface respectively, which indicates that n-Na2B4O7/ion nitrocarburized duplex layer can play more excellent friction reduction, wear resistance and scuffing resistance performances at the relative higher temperature. This because that the chemical reaction films including oxide, BN and so on formed on the friction surface play the solid lubrication function, and the n-Na2B4O7 particles on the friction surface play the "Micron nanobearing" function.
Published: 2014
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40. The correlation between continuity of DATCPR chest compressions instruction and neurological outcome for out-of-hospital cardiac arrest

Author: Yao-Chang Wang, Hui-Chi Wang, Frank Jun-Jie Chang, Mei-Fen Yang, Edward Che-Wei Liao, Chien-Yu Chi, Matthew Huei-Ming Ma, Yu-Wen Chen, Patrick Chow-In Ko, Ming-Zong Tsai, Hong-Yi Hsiao, Chun-Hua Hu, and Kah-Meng Chong
Subjects: medicine.medical_specialty, business.industry, Emergency medicine, Emergency Medicine, medicine, Emergency Nursing, Cardiology and Cardiovascular Medicine, business, Outcome (game theory), Out of hospital cardiac arrest
Published: 2019
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41. Effect of Temperature on Tribological Performances of Ion Nitrocarburized Layer of 42MnCr52 Steel

Author: Feng Jun Qi, Guo Ning Wang, Meng Liang Lu, Qian Liu, Chun Hua Hu, and Xiao Feng Sun
Subjects: Wear resistance, Friction factor, Materials science, Metallurgy, General Engineering, Friction reduction, Tribology, Composite material, Layer (electronics), Ion
Abstract: The paper studied that effect of temperature on tribological performances of ion nitrocarburized layer of 42MnCr52 steel under CD15W-40 oil lubricating. It is found that the ion nitrocarburized layer has more excellent friction reduction and wear resistance performances than the plain surface under different temperatures, especially under the higher temperature 150°C, the friction factor and wear scar width of ion nitrocarburized layer is 36% and 77% less than that of the plain surface respectively, which indicates that ion nitrocarburized layer can play more excellent friction reduction, wear resistance and scuffing resistance performances under the relative higher temperature.
Published: 2013
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42. Elastic Flexural-Torsional Buckling of Beam-Column with Equal-Leg Angle Cross-Section

Author: Yong Jun Xia, Jin Miao Zhang, Chun Hua Hu, and Jian Qin
Subjects: Cross section (physics), Critical load, Materials science, Buckling, business.industry, Section (archaeology), Numerical analysis, Beam column, General Medicine, Structural engineering, Bending, business, Compression (physics)
Abstract: The flexural-torsional buckling of equal-leg angle member under compression is analyzed and calculated. Based on General bending theory and the section properties of angle, the governing equations of the spatial buckling are presented and the formula of Wagner effect coefficient is deduced. The method can also be used for beam-columns with any type section, and the computational efficiency is much higher than numerical methods. The critical buckling loads of equal-leg angle members with different sizes are calculated and the column curves of critical load and slenderness ratio are plotted which will guide efficiently the actual engineering design.
Published: 2013
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43. Canonical Correspondence Analysis on Phytoplankton Community and its Environmental Factors in Poyang Lake

Author: Wei Shi, Qian Lou, Wen Bin Zhou, Chun Hua Hu, and Guo Ning Wang
Subjects: Nutrient, Oceanography, biology, Abundance (ecology), Canonical correspondence analysis, Cosmarium, Phytoplankton, General Engineering, Water environment, Environmental science, Ordination, Chlorophyta, biology.organism_classification
Abstract: Aimed at identifying the key influencing environmental factors of phytoplankton community, we investigated phytoplankton in June 2010 and February 2011 in Poyang Lake. Species from 58 genuses, 32 families and 7 phyla had been found in the investigations, and the major phyla were Chlorophyta, Bacillariophyta and Cyanophyta. The average abundance of phytoplankton in summer and winter were 35.92×105 cell/L and 26.63×105 cell/L, respectively. Even though the unique hydrodynamic conditions of such a water passing lake (during flood seasons Poyang Lake forming a vast lake, but in dry seasons, lake recedes into a channel) make the water environment unstably, Chlorophyta are able to adapt to the conditions and grow well, therefore, the lake was dominated by Chlorophyta, especially Chlorella and Cosmarium, respectively accounting for 56.38 % and 52.10 % of the total abundance in summer and winter. CCA ordination on 12 sampling sites, 58 genuses of phytoplankton and 10 environmental factors demonstrated that there were great geographic differences of water environmental physicochemical conditions in winter, while in summer, it’s not significant, besides, DO, water temperature and nutrients (nitrogen and phosphate) were the most important environmental factors that regulated the distribution of phytoplankton community.
Published: 2013
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44. Study on Tribological Behaviors of FeS Solid Lubrication Duplex Layer under n-Fe3O4 Additive Lubricating

Author: Xin Zhang, Feng Jun Qi, Hai Jiang, Jun Cao, Chun Hua Hu, and Qian Liu
Subjects: Materials science, Chemical engineering, Liquid paraffin, Metallurgy, General Engineering, Lubrication, Duplex (telecommunications), Tribology, Nitride, Chemical reaction, Nanoscopic scale, Ion
Abstract: FeS solid lubrication duplex layer was prepared on the surface of 45 steel by ion nitrocarburizing and ion sulphurizing process. The sulphide grains in micron and nano scale and holes distributing equably on the duplex layer. The duplex layer is composed of FeS, FeS2 and Fe3N. Under liquid paraffin oil with 0.2wt%n-Fe3O4 lubricating, the synergistic effect between n-Fe3O4 and the duplex layer is produced, and the chemical reaction films including sulphide, sulphate and nitride is formed, which makes the friction factor of the duplex layer keep being the lowest and about 0.075, and the volume loss is reduced by 91% than that of the plain surface, and reduced by 89% and 21% than that of the sulphurized surface and the nitrocarburized surface, respectively.
Published: 2013
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45. Plant Leaves Edge Detection Using Mean-shift Algorithm and Wavelet Transform

Author: Chun-Hua Hu, Dong Yang, and Yao Zhou
Subjects: Discrete wavelet transform, business.industry, Stationary wavelet transform, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Wavelet transform, Pattern recognition, Deriche edge detector, Edge detection, Wavelet packet decomposition, Wavelet, Canny edge detector, Artificial intelligence, business, Mathematics
Abstract: In this paper, a novel edge detection algorithm based on Mean-shift algorithm and wavelet transform is proposed to accurately segment the Leaves in the Leaf overlapped and grain complex situations. Firstly, Mean-shift algorithm of adaptive spatial bandwidth selection was put forward to smooth the plants leaves image Secondly two-dimensional wavelet transform was utilized to enhance contrast ratio. Then the edge of the plant leaf was lastly detected based on Canny operator. Compared with traditional edge detection algorithms, this edge detected by this method has a better continuity and has a higher signal-to-noise ratio.
Published: 2016
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46. [Analysis of clinical effects of three operative methods for osteoporotic vertebral compression fracture]

Author: Chun-Hua, Hu, Qing-Ping, Li, Chun, Wang, Qing-Ping, Liu, and Heng-Guo, Long
Subjects: Vertebroplasty, Treatment Outcome, Fractures, Compression, Humans, Spinal Fractures, Kyphoplasty, Osteoporotic Fractures
Abstract: To explore the clinical outcomes of percutaneous vertebroplasty(PVP), percutaneous kyphoplasty(PKP) and percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement in treating osteoporotic vertebral compression fracture(OVCF).From May 2012 to November 2013, the clinical data of 90 patients with osteoporotic vertebral compression fracture were retrospectively analyzed. According to the different methods of operation, the patients were divided into three groups, including the percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement group (group A), percutaneous vertebroplasty group (group B), percutaneous kyphoplasty group (group C), each group had 30 patients. Pre operative, postoperative at 1 day, 3 months, 1 year, the back pain was assessed by visual analogue scale(VAS), and vertebral height compression ratio, Cobb angle were measured by X-rays.All operations were successful and no complications such as postoperative infections and deep vein thrombosis were found. At the final follow up, there were 2 patients with mild postoperative back pain in group A;7 patients with moderate postoperative back pain, 4 patients with severe postoperative back pain, 2 patients with postoperative vertebral refracture in group B; 5 patients with moderate postoperative back pain, 3 patients with severe postoperative back pain, 4 patients with postoperative vertebral refracture in group C. Postoperative VAS, vertebral height compression ratio, Cobb angle of all patients have obviously improved than preoperative(The effect of PVP and PKP on the immediately postoperative pain relief was more than percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement in treating osteoporotic vertebral compression fracture, but, residual back pain can happen in different extent in the patients underwent PVP and PKP. Percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement technique has obvious advantage in recovery of the vertebral height, correction of vertebral deformity, reduction of postoperative back pain.
Published: 2016

47. Mechanics Capability and Structure of Ion Nitrocarburized Layer of 42MnCr52 Steel

Author: Long Li, Chun-Yang Liu, Zhi-Jie Sun, and Chun-Hua Hu
Subjects: Materials science, Metallurgy, Layer (electronics), Ion
Published: 2016
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48. State feedback control for Lurie networked control systems

Author: Chun-hua Hu, Hongqiu Zhu, Chunhua Yang, and Gang Chen
Subjects: Mathematical optimization, Linearization, Stability criterion, Control theory, Control system, Bounded function, Full state feedback, Metals and Alloys, General Engineering, Stability (learning theory), Networked control system, Upper and lower bounds, Mathematics
Abstract: The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By considering that the network-induced delays are assumed to be time-varying and bounded, and analyzing the relationship between the delay and its upper bound, employing a Lyapunov-Krasovskii function and an integral inequality approach, an improved stability criterion for NCSs is proposed. Furthermore, the resulting condition is extended to design a less conservative state feedback controller by employing an improved cone complementary linearization (ICCL) algorithm. Numerical examples are provided to show the effectiveness of the method.
Published: 2012
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49. Synchronous Control Technology Research of Hydraulic Lifting System

Author: Chun Hua Hu, Chao Wen, and Wen Ming Mei
Subjects: Engineering, Technology research, business.industry, Control theory, Proportional valve, PID controller, Synchronous control, General Medicine, Height difference, business, Simulation, Displacement (vector), Flow control valve
Abstract: In conventional “flow control valve and travel switch” control strategy, relative height difference between multiple cylinders only reach accuracy of centimetre grade, which can’t meet synchronous control accuracy requirements of many engineering. In order to improve multiple cylinders synchronous accuracy of the hydraulic lifting system, this paper takes a hydraulic lifting system as basis, which studies PID closed loop control system using electro-hydraulic proportional valve and high-precision displacement accuracy sensor, and the synchronous accuracy of 4 cylinders hydraulic lifting system is improved to millimetre grade.
Published: 2012
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50. Synthesis, Properties of Gadolinium Double-Decker Sandwich-Type Complex Containing Tetrabenzoporphyrin Ligand

Author: Ying Liu, Chun Hua Hu, Hai Yun Xu, Qi Feng Liu, and Wen Xian Zhao
Subjects: Lanthanide, chemistry.chemical_compound, Delocalized electron, Crystallography, Electron transfer, chemistry, Unpaired electron, Ligand, Gadolinium, chemistry.chemical_element, General Medicine, Homoleptic, Porphyrin
Abstract: A novel gadolinium double-decker sandwich-type complex with tetrabenzoporphyrin (TBP) ligands-Gd(TBP)2 was synthesized by the reaction of porphyrin 1 with Gd(acac)3. nH2O in boiling 1, 2, 4-Tcb for 15~17 h under Ar. Its structure is characterized byUv-Vis-NIR and HR-MS. The spectroscopic properties show that the longest-wavelength visible band (600-800 nm) and the strong near-IR absorption band centered near 1340 nm of Gd (TBP)2 complex are obviously red-shifted due to the extension of the π conjugated systems derived from the linear benzoannulation in the TBP ring. The magnetic studies also indicate that the observed value of χMT of Gd(TBP)2 complex is close to the combined value of Gd(III) and porphyrin radical anion at room temperature, and antiferromagnetic interaction that possibly results from the intramolecular spin exchange between the porphyrin π-radical electron, and the gadolinium f unpaired electrons dominates its magnetic properties over the whole temperature range. Since the first report of bis(porphyrinato) metal complexes M(Por)2 such as a cerium(IV) bisporphyrinate, Ce(TPP)2 and hydrogen praseodymium(III), PrH(TPP)2 in 1983[1], sandwich-type rare earth complexes with porphyrin ligands have received increasing attentions due to the unusual physical, spectroscopic, redox, electron transfer, and/or conductivity properties resulting from their strong π-π interactions[2-4]. Whereas the chemistry and properties of homoleptic sandwich complexes containing the same pophyrinato ligands of various lanthanide, actinides and group 4 transition metals have been extensively studied[5-6], actually all of them are confined to the sandwich-type complexes containing meso-substituted porphyrin ligands except for octaethylporphyrin (OEP) or octamethylporphyrin (OMP). Little is known about sandwich-like complexes with aromatic ring-fused porphyrin ligands that contain a more delocalized π system. In this paper, we will describe the preparation of a novel gadolinium homoleptic double-decker sandwich-type complex with tetrabenzoporphyrin (TBP) ligand (see Fig.1) as well as their spectroscopic characterization and magnetic studies.
Published: 2012
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