5,287 results on '"REN, D"'
Search Results
2. Enhanced Sensitivity of THz NbN Hot Electron Bolometer Mixers
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Mirzaei, B., Silva, J. R. G., Vreeling, W. J., Laauwen, W., Ren, D., and Gao, J. R.
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Physics - Instrumentation and Detectors - Abstract
We studied the effect of the NbN/Au contact on the sensitivities of a NbN hot electron bolometer (HEB) mixer by measuring the double sideband (DSB) receiver noise temperature (T_rec_DSB) at three local oscillator frequencies of 1.6, 2.5 and 5.3 THz. The HEB has cleaned contact structures with a thick Au layer. We demonstrated low mixer noise temperatures (T_mixer_DSB) of 240 K and 290 K at 1.6 and 2.5 THz, respectively. The latter reach roughly 3 times the quantum noise at their frequencies. The mixer is developed for the proposed OASIS and SALTUS (concept) missions. The enhanced T_mixer_DSB are more than 30 % better in comparison with published NbN HEB mixers. The improvement can reduce the integration time of a heterodyne instrument roughly by a factor of 2. The T_mixer^DSB of the same HEB has shown limited improvement at 5.3 THz, which is partly due to non-optimized antenna geometry. Besides, the results also help to understand device physics of a wide HEB (4 um) at high frequencies.
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- 2023
3. An Antibacterial, Conductive Nanocomposite Hydrogel Coupled with Electrical Stimulation for Accelerated Wound Healing
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Ren D, Zhang Y, Du B, Wang L, Gong M, and Zhu W
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mxene ,gelma ,electrical stimulation ,antimicrobial peptides ,wound healing ,Medicine (General) ,R5-920 - Abstract
Dawei Ren,1 Yan Zhang,1 Bo Du,1 Lina Wang,2 Meiheng Gong,1 Wei Zhu1 1Department of Otorhinolaryngology, the First Hospital of Jilin University, Changchun, People’s Republic of China; 2Department of Pediatric Respiration, the First Hospital of Jilin University, Changchun, People’s Republic of ChinaCorrespondence: Wei Zhu, Email zhuwei@jlu.edu.cnBackground: Electrical stimulation (ES) can effectively promote skin wound healing; however, single-electrode-based ES strategies are difficult to cover the entire wound area, and the effectiveness of ES is often limited by the inconsistent mechanical properties of the electrode and wound tissue. The above factors may lead to ES treatment is not ideal.Methods: A multifunctional conductive hydrogel dressing containing methacrylated gelatin (GelMA), Ti3C2 and collagen binding antimicrobial peptides (V-Os) was developed to improve wound management. Ti3C2 was selected as the electrode component due to its excellent electrical conductivity, the modified antimicrobial peptide V-Os could replace traditional antibiotics to suppress bacterial infections, and GelMA hydrogel was used due to its clinical applicability in wound healing.Results: The results showed that this new hydrogel dressing (GelMA@Ti3C2/V-Os) not only has excellent electrical conductivity and biocompatibility but also has a durable and efficient bactericidal effect. The modified antimicrobial peptides V-Os used were able to bind more closely to GelMA hydrogel to exert long-lasting antibacterial effects. The results of cell experiment showed that the GelMA@Ti3C2/V-Os hydrogel dressing could enhance the effect of current stimulation and significantly improve the migration, proliferation and tissue repair related genes expression of fibroblasts. In vitro experiments results showed that under ES, GelMA@Ti3C2/V-Os hydrogel dressing could promote re-epithelialization, enhance angiogenesis, mediate immune response and prevent wound infection.Conclusion: This multifunctional nanocomposite hydrogel could provide new strategies for promoting infectious wound healing. Keywords: MXene, GelMA, electrical stimulation, antimicrobial peptides, wound healing
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- 2024
4. A Retrospective Study of Biological Risk Factors Associated with Primary Knee Osteoarthritis and the Development of a Nomogram Model
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Zhang Q, Yao Y, Chen Y, Ren D, and Wang P
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decision support ,knee osteoarthritis ,nomogram ,predictors ,risk factors ,Medicine (General) ,R5-920 - Abstract
Qingzhu Zhang,1,2 Yinhui Yao,3 Yufeng Chen,1 Dong Ren,1 Pengcheng Wang1 1Orthopedic Trauma Service Center, Third Hospital of Hebei Medical University, Major Laboratory of Orthopedic Biomechanics in Hebei Province, Shijiazhuang, Hebei Province, People’s Republic of China; 2Department of Orthopedics, the Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, People’s Republic of China; 3Department of Pharmacy, the Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, People’s Republic of ChinaCorrespondence: Pengcheng Wang, Orthopedic Trauma Service Center, Third Hospital of Hebei Medical University, Major Laboratory of Orthopedic Biomechanics in Hebei Province, Shijiazhuang, Hebei Province, People’s Republic of China, Email zhengzainingmeng@163.comAim: A high percentage of the elderly suffer from knee osteoarthritis (KOA), which imposes a certain economic burden on them and on society as a whole. The purpose of this study is to examine the risk of KOA and to develop a KOA nomogram model that can timely intervene in this disease to decrease patient psychological burdens.Methods: Data was collected from patients with KOA and without KOA at our hospital from February 2021 to February 2023. Initially, a comparison was conducted between the variables, identifying statistical differences between the two groups. Subsequently, the risk of KOA was evaluated using the Least Absolute Shrinkage and Selection Operator method and multivariate logistic regression to determine the most effective predictive index and develop a prediction model. The examination of the disease risk prediction model in KOA includes the corresponding nomogram, which encompasses various potential predictors. The assessment of disease risk entails the application of various metrics, including the consistency index (C index), the area under the curve (AUC) of the receiver operating characteristic curve, the calibration chart, the GiViTi calibration band, and the model for predicting KOA. Furthermore, the potential clinical significance of the model is explored through decision curve analysis (DCA) and clinical influence curve analysis.Results: The study included a total of 582 patients, consisting of 392 patients with KOA and 190 patients without KOA. The nomogram utilized age, haematocrit, platelet count, apolipoprotein a1, potassium, magnesium, hydroxybutyrate dehydrogenase, creatine kinase, and estimated glomerular filtration rate as predictors. The C index, AUC, calibration plot, Giviti calibration band, DCA and clinical influence KOA indicated the ability of nomogram model to differentiate KOA.Conclusion: Using nomogram based on disease risk, high-risk KOA can be identified directly without imaging.Keywords: decision support, knee osteoarthritis, nomogram, predictors, risk factors
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- 2024
5. Ceftazidime-Avibactam Combination Therapy versus Monotherapy for the Treatment Carbapenem-Resistant Gram-Negative Bacterial Infections: A Retrospective Observational Study
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Li K, Li D, Dong H, Ren D, Gong D, Wang S, Li Y, Wu Y, Yang J, and Yan W
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ceftazidime-avibactam ,carbapenem-resistant gram-negative bacteria ,combination therapy ,k. pneumoniae carbapenemase ,Infectious and parasitic diseases ,RC109-216 - Abstract
Keyang Li,1,* Debao Li,2,* Hongliang Dong,1 Dongmei Ren,2 Dandan Gong,1 Shubo Wang,1 Yang Li,1 Yuanyuan Wu,1 Jikang Yang,3 Wenjuan Yan,4 Yi Li4 1Department of Clinical Pharmacy, Jiaozuo People’s Hospital, Jiaozuo, Henan, People’s Republic of China; 2Department of Clinical Laboratory, Jiaozuo People’s Hospital, Jiaozuo, Henan, People’s Republic of China; 3Infectious Diseases Department, Jiaozuo People’s Hospital, Jiaozuo, Henan, People’s Republic of China; 4Department of Clinical Laboratory, Henan Provincial People’s Hospital, Zhengzhou, Henan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wenjuan Yan; Yi Li, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Weiwu Road 7#, Jinshui District, Zhengzhou, Henan, 450003, People’s Republic of China, Tel +86 15225061830 ; +86 15939039006, Email yanwenjuan2008@126.com; liyilabmed@henu.edu.cnPurpose: Since the introduction of ceftazidime–avibactam (CZA) in the Chinese market, accumulating clinical evidence has substantiated its efficacy in the treatment of infections caused by carbapenem-resistant gram-negative bacteria (CR-GNB). Nevertheless, an ongoing debate persists concerning the choice between monotherapy and combination therapy when devising clinical anti-infection protocols.Patients and Methods: This retrospective, single-center observational study enrolled patients with CR-GNB infections who received CZA treatment between December 2019 and August 2023. The primary outcome assessed was 30-day mortality, and the secondary outcome measured was 14-day bacterial clearance. A multivariate Cox regression model was used to identify variables that were independently associated with 30-day mortality rate.Results: Eighty-three patients were enrolled in the study; of which, 45 received CZA monotherapy, whereas 38 received combination therapy. The overall 30-day mortality rate was 31.3%, and no significant difference was observed in the 30-day mortality rates between the CZA combination therapy and monotherapy groups (31.6% vs 31.1%, p=0.963). After adjustment by propensity score matching, the 30-day mortality rate was not significantly different between the two groups (28.6% vs 31.4%, p=0.794). Multivariate COX analysis revealed that age and SOFA score were independent predictors of 30-day mortality.Conclusion: Combination therapy with CZA and other antimicrobials was not found to have an advantage over monotherapy in reducing the 30-day mortality rate.Keywords: ceftazidime-avibactam, carbapenem-resistant gram-negative bacteria, combination therapy K. pneumoniae carbapenemase
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- 2024
6. Atypical Rickettsia japonica Infection Involving Critical Illness Diagnosed by Metagenomic Next-Generation Sequencing: A Case Report
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Yang Z, Shi Z, Fang K, and Ren D
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rickettsia japonica ,rickettsiosis ,infection ,metagenomic next-generation sequencing ,critical illness ,Infectious and parasitic diseases ,RC109-216 - Abstract
Zheng Yang, Zhanli Shi, Kun Fang, Danhong Ren Department of Intensive Care Unit, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang Province, 310003, People’s Republic of ChinaCorrespondence: Danhong Ren, Department of Intensive Care Unit, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang Province, 310003, People’s Republic of China, Email rendanhong330@zcmu.edu.cnBackground: Rickettsia japonica infection is a rare disease, it is rare to report critical and severe case caused by this disease in Zhejiang Province, China.Patient Concerns: We report a patient who initially sought medical attention due to fever and developed coma and convulsions during treatment. The patient did not develop typical eschar and rash. Eventually, the patient needed to be treated in the intensive care unit due to acute respiratory failure.Diagnoses: The patient was diagnosed with Rickettsia japonica bloodstream infection by metagenomic next-generation sequencing (mNGS).Outcomes: Due to the critical illness, the patient was transferred to the intensive care unit, received doxycycline and other treatments, and rapidly recovered and discharged.Conclusion: The patient developed a critical illness after being infected with Rickettsia, when the medical history is unclear and clinical symptoms and signs are atypical, it is necessary to use mNGS examination for diagnosis.Keywords: rickettsia japonica, rickettsiosis, infection, metagenomic next-generation sequencing, critical illness
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- 2024
7. Dense Ru single-atoms integrated with sulfoacids for cellulose valorization to isosorbide
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Yang, Y., Ding, Z., Ren, D., Shang, C., Li, C., Yang, F., Zhou, B., Hao, S., Sun, K., and Lee, S.
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- 2023
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8. Association of CLTA-4 Gene Polymorphisms with Diabetes Mellitus: A Study Based on the Han Population of Northern China
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Ren D, He L, and Pang X
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diabetes mellitus ,gene polymorphism ,ctla-4 ,diabetic ketosis ,diabetic nephropathy ,autoantibodies ,Specialties of internal medicine ,RC581-951 - Abstract
Dongyue Ren,1 Lin He,2 Xiaoling Pang1 1Department of Emergency, the Fourth Affiliated Hospital of China Medical University, Shenyang, People’s Republic of China; 2Good Clinical Practice Institution, the Fourth Affiliated Hospital of China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Xiaoling Pang, Department of Emergency, the Fourth Affiliated Hospital of China Medical University, No. 4 Chongshan East Road, Huanggu District, Shenyang, 110032, People’s Republic of China, Tel +86-18900913992, Email xlpang@cmu.edu.cnObjective: This study aimed to investigate the association of CLTA-4 gene polymorphism with Type 1 and 2 diabetes mellitus (DM) (T1DM and T2DM) in the Han population of northern China.Methods: A total of 234 Chinese Han DM patients and 187 non-diabetic subjects were included in the study. Two gene polymorphisms of the CLTA-4, including CTLA-4+49A/G (rs231775) and CTLA4-318C/T (rs5742909), were studied using polymerase chain reaction-restriction endonuclease fragment length polymorphism (PCR-RFLP) analysis. Chi-square analysis and Student’s t-test were performed to determine the distribution of the gene polymorphism and alleles at the locus of CTLA4-318C/T and CTLA4+49A/G among T1DM and T2DM patients with or without diabetic ketosis (DK), diabetic nephropathy (DN) or autoantibodies (Ab).Results: Our results indicated that the distribution frequencies of genotypes and alleles at the CTLA-4+49A/G and CTLA4-318C/T loci of T1DM patients were not significantly different from those of the controls. However, the distribution frequencies of genotypes and alleles at the CTLA-4+49A/G loci of T2DM patients were significantly different from the controls (P=0.024 for genotypes and P=0.004 for A and G alleles). Besides, the A and G alleles at the CTLA4-318C/T loci of T2DM DK+ patients showed significantly different distribution frequencies compared to those of the T2DM DK patients (P=0.001).Conclusion: Our data suggest that the gene polymorphisms of CTLA-4, including CTLA-4+49A/G and CTLA4-318C/T, are important predictors of DM. CTLA-4 may be a susceptibility gene for T2DM. Patients with T2DM carrying the T allele at the CTLA4-318 C/T locus are more predisposed to diabetic ketosis.Keywords: diabetes mellitus, gene polymorphism, CTLA-4, diabetic ketosis, diabetic nephropathy, autoantibodies
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- 2022
9. Monte Carlo simulations of solidification and solid-state phase transformation during directed energy deposition additive manufacturing
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Zhang, Z., Ge, P., Li, J. Y., Ren, D. X., and Wu, T.
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- 2022
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10. Reply to: “Insects with 100 Million-Year-Old Dinosaur Feathers are not Ectoparasites” and “Crawlers of the Scale Insect Mesophthirus (Homoptera Xylococcidae) on Feathers in Burmese Amber—Wind Transport or Phoresy on Dinosaurs?”
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Gao, T. P., Yin, X. Ch., Shih, Ch. K., Rasnitsyn, A. P., Emeljanov, A. F., Xu, X., Chen, Sh., Wang, Ch., and Ren, D.
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- 2022
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11. A tunable artificial light-harvesting system based on host-guest interaction exhibiting ultrahigh antenna effect and narrowed emission band
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Xiao, T., Qian, H., Shen, Y., Wei, C., Ren, D., Zhang, L., Li, Z.-Y., Wang, L., and Sun, X.-Q.
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- 2022
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12. Study on adsorption-degradation of 2,4-dichlorophenol by modified biochar immobilized laccase
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Wang, Z., Ren, D., Wu, J., Jiang, S., Yu, H., Cheng, Y., Zhang, S., and Zhang, X.
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- 2022
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13. Development and Internal Validation of a Nomogram-Based Model to Predict Three-Year and Five-Year Overall Survival in Patients with Stage II/III Colon Cancer
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Ren D, Wang WL, Wang G, Chen WW, Li XK, Li GD, Bai SX, Dong HM, and Chen WH
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colon cancer ,nomogram ,overall survival ,prognosis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Dan Ren,1 Wen-Ling Wang,2 Gang Wang,2 Wei-Wei Chen,2 Xiao-Kai Li,2 Guo-Dong Li,2 Sai-Xi Bai,2 Hong-Min Dong,2 Wang-Hua Chen2 1Oncology Department, Guizhou Medical University, Guiyang, Guizhou, 550000, People’s Republic of China; 2Department of Abdominal Oncology, Affiliated Hospital of Guizhou Medical University, Affiliated Tumor Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, People’s Republic of ChinaCorrespondence: Wen-Ling WangDepartment of Abdominal Oncology, Affiliated Hospital of Guizhou Medical University, Affiliated Tumor Hospital of Guizhou Medical University, No. 1 Beijin West Road, Yunyan District, Guiyang, Guizhou, 550000, People’s Republic of ChinaTel +86 138 8507 7539Fax +86 851 86512900Email wangww35@outlook.comObjective: The aim of this study was to develop a nomogram-based model to predict the three-year and five-year overall survival (OS) of patients with stage II/III colon cancer following radical resection.Methods: A total of 1156 patients with stage II/III colon cancer who underwent radical resection at the Affiliated Hospital of Guizhou Medical University between December 2012 and December 2018 were enrolled. Lasso regression was used to screen out 12 variables: age, prealbumin, albumin, degree of differentiation, total tumor-node-metastasis (TNM) stage, T stage, N stage, prognostic nutritional index (PNI), platelet/lymphocyte count, carcinoembryonic antigen, carbohydrate antigen 19-9 (CA19-9), and postoperative adjuvant chemotherapy. The data set was then randomly split into a modeling set and a validation set, and the bootstrap method was used to verify the internal validity of the final model. A nomogram was then used to present the model, and the risk groups were categorized according to the total score in the nomogram.Results: This study established and developed a simple, easy-to-use predictive model that included age, degree of differentiation, N stage, CA19-9, PNI, and postoperative chemotherapy as variables. In the multivariate Cox regression analysis, only postoperative chemotherapy was identified as an independent risk factor for death in patients with colon cancer. The receiver operating characteristic curve showed that the model demonstrated good resolution, with an area under the curve of 0.803. Decision curve analysis indicated that the model had a good positive net gain, and the bootstrap method was used to verify its stability. In the OS rate, the C-index was 0.78. According to the total score of the nomogram, the risk group was layered by drawing the Kaplan–Meier (K–M) curve. In the three-year OS K–M curve, the survival rates of the low-risk group, the medium-risk group, and the high-risk group were 96%, 93%, and 82%, respectively. In the five-year OS K–M curve, the survival rates of the low-risk group, the medium-risk group, and the high-risk group were 94%, 90%, and 73%, respectively.Conclusion: The nomogram-based prediction model developed in this study is stable and has good resolution, reliability, and net gain. It will therefore be useful for clinicians performing risk stratification and postoperative monitoring and in the development of personalized treatment options for patients with stage II/III colon cancer.Keywords: colon cancer, nomogram, overall survival, prognosis
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- 2022
14. Extending Cold Ischemic Time in Lung Transplant. Largest Published Cohort Utilizing Lungguard
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Botros, M.M., primary, Tanabe, C., additional, Alsaghayer, A., additional, Ren, D., additional, Suarez, E., additional, and Huang, H., additional
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- 2024
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15. Policy and Measures for Sustainable Development of China’s Wind Power Industry
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Ren, D. M., Zheng, Y. N., Liu, J., Li, Jiachun, and He, Dexin
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- 2020
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16. Energy Utilization and Global Economic and Social Development
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Ren, D. M., Zheng, Y. N., Liu, J., Li, Jiachun, and He, Dexin
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- 2020
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17. Portfolio Optimization Using Regime-Switching Stochastic Interest Rate and Stochastic Volatility Models
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Liu, R. H., Ren, D., Spirn, Daniel, Series Editor, Yin, George, editor, and Zhang, Qing, editor
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- 2019
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18. Bushen Huoxue Acupuncture Inhibits NLRP1 Inflammasome-Mediated Neuronal Pyroptosis in SAMP8 Mouse Model of Alzheimer’s Disease
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Zhang T, Guan B, Tan S, Zhu H, Ren D, Li R, and Xiao L
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bushen huoxue acupuncture ,alzheimer’s disease ,nlrp1 inflammasome ,pyroptosis ,hippocampal neurons ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Ting Zhang,1 Bin Guan,1 Sipin Tan,2 Hong Zhu,1 Dan Ren,1 Ruomeng Li,1 Lan Xiao1 1Department of Traditional Chinese Medicine, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410008, People’s Republic of China; 2Key Laboratory of Sepsis, Translational Medicine of Hunan, Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, 410008, People’s Republic of ChinaCorrespondence: Lan XiaoDepartment of Traditional Chinese Medicine, The Third Xiangya Hospital of Central South University, 138 Tongzipo Road, Changsha, Hunan, 410008, People’s Republic of ChinaTel +86-15802686038Email xiaol038@163.comBackground: It was indicated that nucleotide-binding oligomerisation domain‑like receptor protein 1 (NLRP1) inflammasome-mediated pyroptosis is involveg in the progression of Alzheimer’s disease (AD). This study was designed to explore the effect of Bushen Huoxue Acupuncture on cognitive defect and NLRP1 inflammasome-mediated pyroptosis in AD mouse.Methods: Senescence-accelerated mouse prone 8 (SAMP8) mice were used as a model of AD. Bushen Huoxue Acupuncture was performed in four acupoints: “Baihui acupoint” (GV20), “Shenshu acupoint” (BL23), “Xuehai acupoint” (SP10), and “Geshu acupoint” (BL17). Morris water maze test was performed to evaluate the cognitive function of the mouse. The levels of Aβ1-40, Aβ1-42, IL-1β, and IL-18 were examined by ELISA assay. Neuronal apoptosis and damage in hippocampal tissues were measured using TUNEL and Nissl staining, respectively. The expression of NLRP1, ASC, cleaved caspase-1, IL-1β, and IL-18 was examined using Western blot.Results: Bushen Huoxue Acupuncture improved the learning and memory deficits of AD mouse. Meanwhile, Bushen Huoxue Acupuncture decreased the production of Aβ in hippocampal tissues of SAMP8 mice and attenuated the neuronal apoptosis and damage. Furthermore, Bushen Huoxue Acupuncture inhibited NLRP1 inflammasome activation in SAMP8 mice.Conclusion: Bushen Huoxue Acupuncture could notably attenuate the cognitive defect of mouse AD model and inhibit NLRP1 inflammasome-mediated pyroptosis.Keywords: Bushen Huoxue Acupuncture, Alzheimer’s disease, NLRP1 inflammasome, pyroptosis, hippocampal neurons
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- 2021
19. Microarray analyses of the dorsal root ganglia support a role for innate neuro-immune pathways in persistent pain in experimental osteoarthritis
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Miller, R.E., Tran, P.B., Ishihara, S., Syx, D., Ren, D., Miller, R.J., Valdes, A.M., and Malfait, A.M.
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- 2020
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20. A high-contrast coronagraph for earth-like exoplanet direct imaging: design and test
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Liu, C. C., Ren, D. Q., Dou, J. P., Zhu, Y. T., Zhang, X., Zhao, G., Wu, Zh., and Chen, R.
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The high-contrast coronagraph for direct imaging earth-like exoplanet at the visible needs a contrast of 10^(-10) at a small angular separation of 4 lambda/D or less. Here we report our recent laboratory experiment that is close to the limits. The test of the high-contrast imaging coronagraph is based on our step-transmission apodized filter. To achieve the goal, we use a liquid crystal array (LCA) as a phase corrector to create a dark hole based on our dedicated focal dark algorithm. We have suppressed the diffracted and speckle noise near the star point image to a level of 1.68 x 10^(-9) at 4 lambda/D, which can be immediately used for the direct imaging of Jupiter like exoplanets. This demonstrates that high-contrast coronagraph telescope in space has the potentiality to detect and characterize earth-like planets.
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- 2014
21. Developing and Validating an Adjustment Scale: The Adaptation Status Assessment of Drug-Resistant Tuberculosis Patients
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Liu H, Zhao J, Cao Y, Jiang H, Zhang S, Hua Z, Ren J, and Ren D
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adaptation ,drug-resistant tuberculosis ,validation ,reliability ,adjustment. ,Psychology ,BF1-990 ,Industrial psychology ,HF5548.7-5548.85 - Abstract
Haini Liu, 1 Jingjie Zhao, 2 Yi Cao, 1 Hualin Jiang, 3 Shaoru Zhang, 1 Zhongqiu Hua, 1 Jing Ren, 1 Dan Ren 1 1Department of Nursing, Health Science Center, Xi’an Jiaotong University, Xi’an, People’s Republic of China; 2College of Media, Xijing University, Xian, People’s Republic of China; 3Department of Epidemiology and Health Statistics, Health Science Center, Xi’an Jiaotong University, Xi’an City, People’s Republic of ChinaCorrespondence: Hualin Jiang; Shaoru ZhangHealth Science Center, Xi’an Jiaotong University, No. 76 Yanta West Road, Yanta, Xi’an, Shanxi 710061, People’s Republic of ChinaTel +86 029 8265 7015Fax +86 029 8265 7017Email 596684532@qq.com; tgshru011@126.comPurpose: Drug-resistant tuberculosis (DR-TB) remains a major global public health issue. For DR-TB patients, effective adaptation is crucial to prevent disease progression, improve health outcomes and decrease mortality. To date, there is no appropriate tool for evaluating the adaptation status of DR-TB patients. In this work, we aim to develop an adjustment scale for DR-TB patients (AS-DRTBP) and to evaluate its psychometric properties.Patients and Methods: The development of the AS-DRTBP was based on the theory of the Roy adaptation model (RAM). The scale was designed through a literature review, in-depth individual interviews, a Delphi survey, and pilot testing. In total, 433 patients with DR-TB were recruited to validate the instrument. The split-half reliability coefficient, Cronbach’s alpha coefficient, and test-retest reliability coefficient were calculated to assess the reliability of the instrument. Content validity, construct validity and concurrent validity tests were applied to calculate the validity of the instrument.Results: The final AS-DRTBP consisted of four dimensions and 26 items. The Cronbach’s alpha coefficient, split-half reliability coefficient and test-retest reliability coefficient were 0.893, 0.954, and 0.853, respectively. The content validity index was 0.92. Four factors that explained 64.605% of the total variance were also further determined by confirmatory factor analysis (CFA). The CFA results showed that the fitting effect of the model was appropriate (CMIN/DF = 1.681, GFI = 0.832, AGFI = 0.799, RMSEA = 0.055, SRMR = 0.0684). The AS-DRTBP and adjustment scale had correlation in the total score, and the correlation coefficient was 0.355 (p< 0.05).Conclusion: The findings of this study demonstrate that the AS-DRTBP is a reliable and valid instrument for measuring the adaptation status of patients with DR-TB, allowing health providers to comprehend the adaptive level of DR-TB patients and thus laying the foundation for interventions to help these patients achieve a physiologically, psychologically and socially optimal outcome.Keywords: adaptation, drug-resistant tuberculosis, validation, reliability, adjustment
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- 2020
22. Enhanced carrier mobility and thermoelectric performance in Cu2FeSnSe4 diamond-like compound via manipulating the intrinsic lattice defects
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Song, Q., Qiu, P., Chen, H., Zhao, K., Guan, M., Zhou, Y., Wei, T.-R., Ren, D., Xi, L., Yang, J., Chen, Z., Shi, X., and Chen, L.
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- 2018
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23. The Opposite Behaviors of Proton and Electron Temperatures in Relation to Solar Wind Magnetic Energy: Parker Solar Probe Observations.
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Zhao, G. Q., Feng, H. Q., Wu, D. J., Xiang, L., Yang, H. F., Liu, Q., and Ren, D. Y.
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SOLAR wind ,ELECTRON temperature ,SOLAR energy ,WIND power ,SOLAR temperature ,SOLAR heating ,PROTONS - Abstract
Solar wind heating is an outstanding issue that has been discussed for decades. Research on the connection between solar wind particle temperatures and turbulence may provide insight into this issue. Based on Parker Solar Probe observations, this paper investigates the properties of solar wind proton and electron temperatures in relation to turbulent magnetic energy, via the calculation of correlation coefficients (CCs) between particle temperatures and magnetic energy. The calculations are regulated by the spatial scale, plasma beta (β), and the angle between the solar wind velocity and background magnetic field, where the plasma beta is the ratio of plasma thermal to magnetic pressure. Results show that the correlation between proton temperature and magnetic energy is positive and can be strong with a CC exceeding 0.8. The strong correlation preferentially occurs at ion scales, with the wind velocity and background magnetic field quasi-perpendicular and over a wide beta range (β < 3.0). On the other hand, the correlation between electron temperature and magnetic energy is commonly negative, often with an intermediate or negligible CC, accordingly. The CC with an amplitude up to 0.8 can arise at larger scales with the wind velocity and background magnetic field quasi-(anti)parallel and in the low-beta case (β < 0.6). The implication of these findings on the physics of turbulent heating in the solar wind is discussed. [ABSTRACT FROM AUTHOR]
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- 2024
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24. Crystal Structure of Prophenoloxidase PPO6 from Aedes aegypti
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Zhu, X., primary, Zhang, L., additional, Yang, X., additional, Bao, P., additional, Ren, D., additional, and Han, Q., additional
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- 2023
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25. 10-year Observation of A Rare Presentation of Pure Fibromyxoid Nephrogenic Adenoma in the Renal Pelvis
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Ren, D, primary
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- 2023
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26. Crystal Structure of Prophenoloxidase PPO6 chimeric mutant (F215EASNRAIVD224 to G215DGPDSVVR223) from Aedes aegypti
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Zhu, X., primary, Zhang, L., additional, Yang, X., additional, Bao, P., additional, Ren, D., additional, and Han, Q., additional
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- 2023
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27. Development And Preliminary Evaluation Of Psychometric Properties Of A Tuberculosis Self-Efficacy Scale (TBSES)
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Cao Y, Chen W, Zhang S, Jiang H, Liu H, Hua Z, Ren D, and Ren J
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tuberculosis ,self-efficacy ,scale development ,reliability ,validity. ,Medicine (General) ,R5-920 - Abstract
Yi Cao,1 Wei Chen,2 Shaoru Zhang,1,3 Hualin Jiang,3 Haini Liu,1 Zhongqiu Hua,1 Dan Ren,1 Jing Ren1 1Department of Nursing, Health Science Center, Xi’an Jiaotong University, Xi’an City, People’s Republic of China; 2Nursing Department, Xi’an Chest Hospital, Xi’an City, People’s Republic of China; 3Department of Epidemiology and Health Statistics, Health Science Center, Xi’an Jiaotong University, Xi’an City, People’s Republic of ChinaCorrespondence: Shaoru ZhangHealth Science Center, Xi’an Jiaotong University, No 76 Yanta West Road, Yanta, Xi’an, Shaanxi 710061, People’s Republic of ChinaTel +86 29 8265 7015Fax +86 29 8265 7017Email tgshru011@126.comPurpose: No instrument exists for measuring TB patients’ self-efficacy which is vital for choosing and insisting in benefit TB-management behaviors. Our study aimed to develop and test a new tuberculosis self-efficacy scale (TBSES).Patients and methods: The TBSES was designed through literature review, individual interviews, Delphi surveys, and pilot testing. After that, 460 TB patients were recruited to validate TBSES. Exploratory and confirmatory factor analysis and correlation analysis were used to evaluate the scale reliability and validity. The cut-off point for TBSES was identified using receiver operating characteristic (ROC) analysis.Results: The final TBSES includes 21 items scored on a 5-point Likert scale, and these items are loaded in four distinct factors that explain 67.322% of the variance, both exploratory and confirmatory factor analysis proved that the scale had good construct validity. The scale had adequate internal consistency, split-half reliability, test-retest reliability, as well as demonstrated content, concurrent validity. The ROC analysis results showed the cut-off point was 86.5.Conclusion: This 21-item TBSES demonstrated favorable psychometric properties. It provides an instrument for not only measuring specific self-efficacy in TB, but also identifying patients with low self-efficacy and determining the specific area toward designing interventions for enhance self-efficacy.Keywords: tuberculosis, self-efficacy, scale development, reliability, validity
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- 2019
28. GSK-3β and BDNF genes may not be associated with venlafaxine treatment response in Chinese of Han ethnicity
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Sun Q, Yuan F, Ren D, Ma G, Yang F, Wu X, He L, and He G
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association ,GSK-3β ,BDNF ,major depressive disorder ,venlafaxine ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Qianqian Sun,1,2 Fan Yuan,1,2 Decheng Ren,1,2 Gaini Ma,1,2 Fengping Yang,1,3 Xi Wu,1,3 Lin He,1,3 Guang He1,21Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China; 2Shanghai Key Laboratory of Psychotic Disorders, Shanghai Institute of Mental Health, Shanghai Jiao Tong University, Shanghai 200030, P.R. China; 3Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P.R. ChinaPurpose: Venlafaxine is one of the commonly prescribed antidepressants for major depressive disorder (MDD). Accumulated evidence revealed the involvement of glutamatergic system in the pathophysiology of MDD and antidepressant treatment. Methods: We recruited 193 MDD patients who have been taking venlafaxine for 6 weeks, and investigated whether single nucleotide polymorphisms (SNPs) in GSK-3β and BDNF were associated with treatment response. Nine SNPs were selected randomly depending on association studies. Efficacy of treatment was determined by 17-item Hamilton Rating Scale. Allele and genotype frequencies were compared between responders and nonresponders.Results: After adjusting the false discovery rate, no significant difference was observed between response and nonresponse groups in allele or genotype distributions after venlafaxine treatment for 6 weeks.Conclusion: Our results indicated that genetic variants in the GSK-3β and BDNF may not be associated with treatment response in MDD patients treated with venlafaxine.Keywords: association, GSK-3β, BDNF, major depressive disorder, venlafaxine
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- 2019
29. Entropy optimized phase transitions and improved thermoelectric performance in n-type liquid-like Ag9GaSe6 materials
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Jiang, B., Qiu, P., Chen, H., Huang, J., Mao, T., Wang, Y., Song, Q., Ren, D., Shi, X., and Chen, L.
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- 2018
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30. Insights into spatial sensitivities of ice mass response to environmental change from the SeaRISE ice sheet modeling project II: Greenland
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Nowicki, S, Bindschadler, RA, Abe-Ouchi, A, Aschwanden, A, Bueler, E, Choi, H, Fastook, J, Granzow, G, Greve, R, Gutowski, G, Herzfeld, U, Jackson, C, Johnson, J, Khroulev, C, Larour, E, Levermann, A, Lipscomb, WH, Martin, MA, Morlighem, M, Parizek, BR, Pollard, D, Price, SF, Ren, D, Rignot, E, Saito, F, Sato, T, Seddik, H, Seroussi, H, Takahashi, K, Walker, R, and Wang, WL
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Greenland ,ice-sheet ,sea-level ,model ,ensemble ,Earth Sciences - Abstract
The Sea-level Response to Ice Sheet Evolution (SeaRISE) effort explores the sensitivity of the current generation of ice sheet models to external forcing to gain insight into the potential future contribution to sea level from the Greenland and Antarctic ice sheets. All participating models simulated the ice sheet response to three types of external forcings: a change in oceanic condition, a warmer atmospheric environment, and enhanced basal lubrication. Here an analysis of the spatial response of the Greenland ice sheet is presented, and the impact of model physics and spin-up on the projections is explored. Although the modeled responses are not always homogeneous, consistent spatial trends emerge from the ensemble analysis, indicating distinct vulnerabilities of the Greenland ice sheet. There are clear response patterns associated with each forcing, and a similar mass loss at the full ice sheet scale will result in different mass losses at the regional scale, as well as distinct thickness changes over the ice sheet. All forcings lead to an increased mass loss for the coming centuries, with increased basal lubrication and warmer ocean conditions affecting mainly outlet glaciers, while the impacts of atmospheric forcings affect the whole ice sheet. Key Points Sensitivity study of Greenland to atmospheric, oceanic and subglacial forcings Each forcing result in a different regional thickness response All forcings lead to an increased mass loss for the coming centuries ©2013. American Geophysical Union. All Rights Reserved.
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- 2013
31. Insights into spatial sensitivities of ice mass response to environmental change from the SeaRISE ice sheet modeling project I: Antarctica
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Nowicki, S, Bindschadler, RA, Abe-Ouchi, A, Aschwanden, A, Bueler, E, Choi, H, Fastook, J, Granzow, G, Greve, R, Gutowski, G, Herzfeld, U, Jackson, C, Johnson, J, Khroulev, C, Larour, E, Levermann, A, Lipscomb, WH, Martin, MA, Morlighem, M, Parizek, BR, Pollard, D, Price, SF, Ren, D, Rignot, E, Saito, F, Sato, T, Seddik, H, Seroussi, H, Takahashi, K, Walker, R, and Wang, WL
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Antarctica ,ice-sheet ,sea-level ,model ,ensemble ,Earth Sciences - Abstract
Atmospheric, oceanic, and subglacial forcing scenarios from the Sea-level Response to Ice Sheet Evolution (SeaRISE) project are applied to six three-dimensional thermomechanical ice-sheet models to assess Antarctic ice sheet sensitivity over a 500 year timescale and to inform future modeling and field studies. Results indicate (i) growth with warming, except within low-latitude basins (where inland thickening is outpaced by marginal thinning); (ii) mass loss with enhanced sliding (with basins dominated by high driving stresses affected more than basins with low-surface-slope streaming ice); and (iii) mass loss with enhanced ice shelf melting (with changes in West Antarctica dominating the signal due to its marine setting and extensive ice shelves; cf. minimal impact in the Terre Adelie, George V, Oates, and Victoria Land region of East Antarctica). Ice loss due to dynamic changes associated with enhanced sliding and/or sub-shelf melting exceeds the gain due to increased precipitation. Furthermore, differences in results between and within basins as well as the controlling impact of sub-shelf melting on ice dynamics highlight the need for improved understanding of basal conditions, grounding-zone processes, ocean-ice interactions, and the numerical representation of all three. Key Points Sensitivity study of Antarctica to atmospheric, oceanic and subglacial forcings Different sectors of Antarctica are vulnerable to the forcings Atmospheric forcing lead to a growth, but dynamic forcing lead to a mass loss ©2013. American Geophysical Union. All Rights Reserved.
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- 2013
32. Improving the electroluminescence of Si nanocrystal via black silicon and silver surface plasmons
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Chen, J. R., Wang, D. C., Ren, D. S., Lu, M., and Peng, M. J.
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- 2021
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33. Effect of phosphorus doping on the luminescence intensity of Si-NC in SiO/Si multilayers
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Luo, Y., primary, Yang, X., additional, Yue, L, additional, Ren, D. S., additional, and Chen, J. R., additional
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- 2023
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34. Robotics Framework for Object Tracking using FPGA with Novel Automatic Image Labelling
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H⊘ffer, Mads F., primary, Koldkjær, Karl-Emil S., additional, Andersen, Ditlev S., additional, Herlev, Victor D., additional, Abrahamsen, S⊘ren D., additional, Nyboe, Frederik F., additional, Malle, Nicolaj H., additional, and Ebeid, Emad, additional
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- 2023
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35. Portfolio Optimization Using Regime-Switching Stochastic Interest Rate and Stochastic Volatility Models
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Liu, R. H., primary and Ren, D., additional
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- 2019
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36. Do targets of ostracism truthfully communicate their emotional reactions to sources?
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Meral, E.O., Ren, D., Osch, Y. van, Dijk, E. van, and Beest, I. van
- Abstract
Ostracism triggers negative emotions such as sadness, anger, and hurt feelings. Do targets of ostracism truthfully share their emotions with the sources of ostracism? Drawing on past research on social-functional accounts of emotions and interpersonal emotion regulation, we investigated the possibility that targets may misrepresent their emotions (i.e., gaming emotions). We conducted three experiments (N = 1058; two pre-registered) using an online ball-tossing game, in which participants were randomly assigned to be included or ostracized. Consistent with the literature, we found that ostracized individuals were more hurt, sad, and angry than included individuals. However, we found little and inconsistent evidence that ostracized (vs included) individuals misrepresented their emotional reactions to the sources. Further, Bayesian analyses offered more support against misrepresentation of emotions. These findings suggest that targets of ostracism truthfully communicated their social pain to the sources.
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- 2023
37. Gas Phase Ion Chemistry to Determine Isoaspartate in a Peptide Backbone
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Ayrton, S. T., Chen, X., Bain, R. M., Pulliam, C. J., Achmatowicz, M., Flick, T. G., Ren, D., and Cooks, R. G.
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- 2018
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38. Early Outcomes Following ECMO Bridged Lung Transplant in Patients With COVID-19 ARDS
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Tanabe, C., primary, Alsaghayer, A., additional, Graviss, E., additional, Nguyen, D.T., additional, Goodarzi, A., additional, Youssef, J.G., additional, Yau, S., additional, Ren, D., additional, MacGillivray, T.E., additional, Chihara, R., additional, Chan, E.Y., additional, Chou, L.-C.P., additional, Suarez, E.E., additional, and Huang, H.J., additional
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- 2023
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39. (1232) Extending Cold Ischemic Time Using LUNGguard: A Single Center Experience in Time Shifting
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Botros, M., primary, Alsaghayer, A., additional, Tanabe, C., additional, Armas, K., additional, Mabry, M., additional, Goodarzi, A., additional, Yau, S., additional, Youssef, J., additional, Huang, H., additional, Ren, D., additional, and Suarez, E., additional
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- 2023
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40. Intensity, intent, and ambiguity: Appraisals of workplace ostracism and coping responses
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Meral, E.O., Vranjes, I., Osch, Y. van, Ren, D., Dijk, E. van, Beest, I. van, Meral, E.O., Vranjes, I., Osch, Y. van, Ren, D., Dijk, E. van, and Beest, I. van
- Abstract
Contains fulltext : 285543.pdf (Publisher’s version ) (Open Access), Using both correlational and experimental designs across four studies (N = 1251 working individuals), the current project aimed to contribute to the understanding of workplace ostracism by studying two research questions. First, we tested whether the subjective experience of targets reflects the current theorizing of ostracism. Second, drawing from the transactional theory of stress and coping, we investigated whether this subjective experience impacts targets' coping responses. Findings based on exploratory and confirmatory factor analyses supported the current theorizing of workplace ostracism such that perceived intensity, intent, and ambiguity were reflected in how targets appraised being ostracized at work. The appraisals were also related to coping responses. Perceived intensity predicted more approach-oriented (e.g., confrontation) and less avoidance-oriented coping responses (e.g., minimization). While attributions of intent also predicted some coping responses (e.g., instrumental support seeking), the explanatory power of perceived ambiguity was lower than the other two appraisals. Although these researcher-defined dimensions may be reflective of targets' experience, we propose that predictions made based on these dimensions need further refinement. The theoretical and practical significance of these findings are discussed in relation to how workplace ostracism is typically studied in the literature.
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- 2023
41. Intensity, intent, and ambiguity: Appraisals of workplace ostracism and coping responses
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Meral, E.O.O., Vranjes, I., van Osch, Y., Ren, D., van Dijk, E., van Beest, I., Meral, E.O.O., Vranjes, I., van Osch, Y., Ren, D., van Dijk, E., and van Beest, I.
- Abstract
Using both correlational and experimental designs across four studies (N = 1251 working individuals), the current project aimed to contribute to the understanding of workplace ostracism by studying two research questions. First, we tested whether the subjective experience of targets reflects the current theorizing of ostracism. Second, drawing from the transactional theory of stress and coping, we investigated whether this subjective experience impacts targets' coping responses. Findings based on exploratory and confirmatory factor analyses supported the current theorizing of workplace ostracism such that perceived intensity, intent, and ambiguity were reflected in how targets appraised being ostracized at work. The appraisals were also related to coping responses. Perceived intensity predicted more approach-oriented (e.g., confrontation) and less avoidance-oriented coping responses (e.g., minimization). While attributions of intent also predicted some coping responses (e.g., instrumental support seeking), the explanatory power of perceived ambiguity was lower than the other two appraisals. Although these researcher-defined dimensions may be reflective of targets' experience, we propose that predictions made based on these dimensions need further refinement. The theoretical and practical significance of these findings are discussed in relation to how workplace ostracism is typically studied in the literature.
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- 2023
42. Phosphorylation and glycosylation isoforms of bovine κ-casein variant E in homozygous Swedish Red cow milk detected by liquid chromatography-electrospray ionization mass spectrometry
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Bulei Sheng, Martin N. Thesbjerg, Maria Glantz, Marie Paulsson, S⊘ren D. Nielsen, Nina A. Poulsen, and Lotte B. Larsen
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Sweden ,Spectrometry, Mass, Electrospray Ionization ,Glycosylation ,Caseins ,Milk Proteins ,Milk ,Genetics ,Animals ,Protein Isoforms ,Cattle ,Female ,Animal Science and Zoology ,Phosphorylation ,Chromatography, Liquid ,Food Science - Abstract
Variations in the phosphorylation and glycosylation patterns of the common κ-casein (CN) variants A and B have been explored, whereas studies on variant E heterogeneity are scarce. This study reports for the first time the detailed phosphorylation and glycosylation pattern of the κ-CN variant E in comparison with variants A and B. Individual cow milk samples representing κ-CN genotype EE (n = 12) were obtained from Swedish Red cows, and the natural posttranslational modifications of its κ-CN were identified and quantified by liquid chromatography-electrospray mass spectrometry. In total, 12 unique isoform masses of κ-CN variant E were identified. In comparison, AA and BB milk consisted of 14 and 17 unique isoform masses, respectively. The most abundant κ-CN E isoform detected in the EE milk was the monophosphorylated, unglycosylated [1P 0G, ∼70%; where P indicates phosphorylation from single to triple phosphorylation (1–3P), and G indicates glycosylation from single to triple glycosylation (1–3G)] form, followed by diphosphorylated, unglycosylated (2P 0G, ∼12%) form, resembling known patterns from variants A and B. However, a clear distinction was the presence of the rare triphosphorylated, nonglycosylated (3P 0G, ∼0.05%) κ-CN isoform in the EE milk. All isoforms detected in variant E were phosphorylated, giving a phosphorylation degree of 100%. This is comparable with the phosphorylation degree of variants A and B, being also almost 100%, though with very small amounts of nonphosphorylated, glycosylated isoforms detected. The glycosylation degree of variant E was found to be around 17%, a bit higher than observed for variant B (around 14%), and higher than variant A (around 7%). Among glycosylation, the glycan e was the most common type identified for all 3 variants, followed by c/d (straight and branched chain trisaccharides, respectively), and b. In contrast to κ-CN variants A and B, no glycan of type a was found in variant E. Taken together, this study shows that the posttranslational modification pattern of variant E resembles that of known variants to a large extent, but with subtle differences.
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- 2022
43. A global experiment on motivating social distancing during the COVID-19 pandemic
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Legate, N, Ngyuen, T-V, Weinstein, N, Moller, A, Legault, L, Vally, Z, Tajchman, Z, Zsido, AN, Zrimsek, M, Chen, Z, Ziano, I, Gialitaki, Z, Ceary, CD, Jang, Y, Lin, Y, Kunisato, Y, Yamada, Y, Xiao, Q, Jiang, X, Du, X, Yao, E, Ryan, WS, Wilson, JP, Cyrus-Lai, W, Jimenez-Leal, W, Law, W, Unanue, W, Collins, WM, Richard, KL, Vranka, M, Ankushev, V, Schei, V, DePaola, C, Lerche, V, Kovic, V, Križanić, V, Kadreva, VH, Adoric, VC, Tran, US, Yeung, SK, Hassan, W, Houston, R, Machin, MA, Lima, TJS, Ostermann, T, Frizzo, T, Sverdrup, TE, House, T, Gill, T, Fedotov, M, Paltrow, T, Jernsäther, T, Rahman, T, Machin, T, Koptjevskaja-Tamm, M, Hostler, TJ, Ishii, T, Szaszi, B, Adamus, S, Suter, L, von Bormann, SM, Habib, S, Studzinska, A, Stojanovska, D, Janssen, SMJ, Stieger, S, Schulenberg, SE, Tatachari, S, Azouaghe, S, Sorokowski, P, Sorokowska, A, Song, X, Morbée, S, Lewis, S, Sinkolova, S, Grigoryev, D, Drexler, SM, Daches, S, Levine, SL, Geniole, SN, Akter, S, Vračar, S, Massoni, S, Costa, S, Zorjan, S, Sarioguz, E, Izquierdo, SM, Tshonda, SS, Alves, SG, Pöntinen, S, Solas, SÁ, Ordoñez-Riaño, S, Očovaj, SB, Onie, S, Lins, S, Biberauer, T, Çoksan, S, Khumkom, S, Sacakli, A, Ruiz-Fernández, S, Geiger, SJ, FatahModares, S, Walczak, RB, Betlehem, R, Vilar, R, Cárcamo, RA, Ross, RM, McCarthy, R, Ballantyne, T, Westgate, EC, Ryan, RM, Gargurevich, R, Afhami, R, Ren, D, Monteiro, RP, Reips, U-D, Reggev, N, Calin-Jageman, RJ, Pourafshari, R, Oliveira, R, Nedelcheva-Datsova, M, Rahal, R-M, Ribeiro, RR, Radtke, T, Searston, R, Jai-ai, R, Habte, R, Zdybek, P, Chen, S-C, Wajanatinapart, P, Maturan, PLG, Perillo, JT, Isager, PM, Kačmár, P, Macapagal, PM, Maniaci, MR, Szwed, P, Hanel, PHP, Forbes, PAG, Arriaga, P, Paris, B, Parashar, N, Papachristopoulos, K, Correa, PS, Kácha, O, Bernardo, M, Campos, O, Bravo, ON, Galindo-Caballero, OJ, Ogbonnaya, CE, Bialobrzeska, O, Kiselnikova, N, Simonovic, N, Cohen, N, Nock, NL, Hernandez, A, Thogersen-Ntoumani, C, Ntoumanis, N, Johannes, N, Albayrak-Aydemir, N, Say, N, Neubauer, AB, Martin, NI, Levy, N, Torunsky, N, Antwerpen, NV, Doren, NV, Sunami, N, Rachev, NR, Majeed, NM, Schmidt, N-D, Nadif, K, Corral-Frías, NS, Ouherrou, N, Abbas, N, Pantazi, M, Lucas, MY, Vasilev, MR, Victoria Ortiz, M, Butt, MM, Kurfalı, M, Kabir, M, Muda, R, Rivera, MDCMCT, Sirota, M, Seehuus, M, Parzuchowski, M, Toro, M, Hricova, M, Maldonado, MA, Rentzelas, P, Vansteenkiste, M, Metz, MA, Marszalek, M, Karekla, M, Mioni, G, Bosma, MJ, Westerlund, M, Vdovic, M, Bialek, M, Silan, MA, Anne, M, Misiak, M, Gugliandolo, MC, Grinberg, M, Capizzi, M, Espinoza Barría, MF, Kurfali, MA, Mensink, MC, Harutyunyan, M, Khosla, M, Dunn, MR, Korbmacher, M, Adamkovič, M, Ribeiro, MFF, Terskova, M, Hruška, M, Martončik, M, Jansen, M, Voracek, M, Čadek, M, Frias-Armenta, M, Kowal, M, Topor, M, Roczniewska, M, Oosterlinck, M, Kohlová, MB, Paruzel-Czachura, M, Sabristov, M, Romanova, M, Papadatou-Pastou, M, Lund, ML, Antoniadi, M, Magrin, ME, Jones, MV, Li, M, Ortiz, MS, Manavalan, M, Muminov, A, Kossowska, M, Friedemann, M, Wielgus, M, van Hooff, MLM, Varella, MAC, Standage, M, Nicolotti, M, Colloff, MF, Bradford, M, Vaughn, LA, Eudave, L, Vieira, L, Lu, JG, Pineda, LMS, Matos, L, Pérez, LC, Lazarevic, LB, Jaremka, LM, Smit, ES, Kushnir, E, Ferguson, LJ, Anton-Boicuk, L, Lins de Holanda Coelho, G, Ahlgren, L, Liga, F, Levitan, CA, Micheli, L, Gunton, L-A, Volz, L, Stojanovska, M, Boucher, L, Samojlenko, L, Delgado, LGJ, Kaliska, L, Beatrix, L, Warmelink, L, Rojas-Berscia, LM, Yu, K, Wylie, K, Wachowicz, J, Desai, K, Barzykowski, K, Kozma, L, Evans, K, Kirgizova, K, Emmanuel Agesin, BB, Koehn, MA, Wolfe, K, Korobova, T, Morris, K, Klevjer, K, van Schie, K, Vezirian, K, Damnjanović, K, Thommesen, KK, Schmidt, K, Filip, K, Staniaszek, K, Grzech, K, Hoyer, K, Moon, K, Khaobunmasiri, S, Rana, K, Janjić, K, Suchow, JW, Kielińska, J, Cruz Vásquez, JE, Chanal, J, Beitner, J, Vargas-Nieto, JC, Roxas, JCT, Taber, J, Urriago-Rayo, J, Pavlacic, JM, Benka, J, Bavolar, J, Soto, JA, Olofsson, JK, Vilsmeier, JK, Messerschmidt, J, Czamanski-Cohen, J, Waterschoot, J, Moss, JD, Boudesseul, J, Lee, JM, Kamburidis, J, Joy-Gaba, JA, Zickfeld, J, Miranda, JF, Verharen, JPH, Hristova, E, Beshears, JE, Djordjevic, JM, Bosch, J, Valentova, JV, Antfolk, J, Berkessel, JB, Schrötter, J, Urban, J, Röer, JP, Norton, JO, Silva, JR, Pickering, JS, Vintr, J, Uttley, J, Kunst, JR, Ndukaihe, ILG, Iyer, A, Vilares, I, Ivanov, A, Ropovik, I, Sula, I, Sarieva, I, Metin-Orta, I, Prusova, I, Pinto, I, Bozdoc, AI, Almeida, IAT, Pit, IL, Dalgar, I, Zakharov, I, Arinze, AI, Ihaya, K, Stephen, ID, Gjoneska, B, Brohmer, H, Flowe, H, Godbersen, H, Kocalar, HE, Hedgebeth, MV, Chuan-Peng, H, Sharifian, M, Manley, H, Akkas, H, Hajdu, N, Azab, H, Kaminski, G, Nilsonne, G, Anjum, G, Travaglino, GA, Feldman, G, Pfuhl, G, Czarnek, G, Marcu, GM, Hofer, G, Banik, G, Adetula, GA, Bijlstra, G, Verbruggen, F, Kung, FYH, Martela, F, Foroni, F, Forest, J, Singer, G, Muchembled, F, Azevedo, F, Mosannenzadeh, F, Marinova, E, Štrukelj, E, Etebari, Z, Bradshaw, EL, Baskin, E, Garcia, EOL, Musser, E, van Steenkiste, IMM, Ahn, ER, Quested, E, Pronizius, E, Jackson, EA, Manunta, E, Agadullina, E, Šakan, D, Dursun, P, Dujols, O, Dubrov, D, Willis, M, Tümer, M, Beaudry, JL, Popović, D, Dunleavy, D, Djamai, I, Krupić, D, Herrera, D, Vega, D, Du, H, Mola, D, Chakarova, D, Davis, WE, Holford, DL, Lewis, DMG, Vaidis, DC, Ozery, DH, Ricaurte, DZ, Storage, D, Sousa, D, Alvarez, DS, Boller, D, Rosa, AD, Dimova, D, Marko, D, Moreau, D, Reeck, C, Correia, RC, Whitt, CM, Lamm, C, Solorzano, CS, von Bastian, CC, Sutherland, CAM, Overkott, C, Aberson, CL, Wang, C, Niemiec, CP, Karashiali, C, Noone, C, Chiu, F, Picciocchi, C, Brownlow, C, Karaarslan, C, Cellini, N, Esteban-Serna, C, Reyna, C, Ferreyra, C, Batres, C, Li, R, Grano, C, Carpentier, J, Tamnes, CK, Fu, CHY, Ishkhanyan, B, Bylinina, L, Jaeger, B, Bundt, C, Allred, TB, Vermote, BJ, Bokkour, A, Bogatyreva, N, Shi, J, Chopik, WJ, Antazo, B, Behzadnia, B, Becker, M, Bayyat, MM, Cocco, B, Chou, W-L, Barkoukis, V, Hubena, B, Žuro, B, Aczel, B, Baklanova, E, Bai, H, Balci, BB, Babinčák, P, Soenens, B, Dixson, BJW, Mokady, A, Kappes, HB, Atari, M, Szala, A, Szabelska, A, Aruta, JJB, Domurat, A, Arinze, NC, Modena, A, Adiguzel, A, Monajem, A, ARABI, KAITEL, Özdoğru, AA, Rothbaum, AO, Torres, AO, Theodoropoulou, A, Skowronek, A, Jurković, AP, Singh, A, Kassianos, AP, Findor, A, Hartanto, A, Landry, AT, Ferreira, A, Santos, AC, De la Rosa-Gomez, A, Gourdon-Kanhukamwe, A, Luxon, AM, Todsen, AL, Karababa, A, Janak, A, Pilato, A, Bran, A, Tullett, AM, Kuzminska, AO, Krafnick, AJ, Urooj, A, Khaoudi, A, Ahmed, A, Groyecka-Bernard, A, Askelund, AD, Adetula, A, Belaus, A, Charyate, AC, Wichman, AL, Stoyanova, A, Greenburgh, A, Thomas, AG, Arvanitis, A, Forscher, PS, Mallik, PR, Coles, NA, Miller, JK, Moshontz, H, Urry, HL, IJzerman, H, Basnight-Brown, DM, Ebersole, CR, Chartier, CR, Buchanan, EM, Primbs, MA, Department of Psychology, Education and Child Studies, Clinical Psychology, Legate, N, Nguyen, T, Weinstein, N, Moller, A, Legault, L, Vally, Z, Tajchman, Z, Zsido, A, Zrimsek, M, Chen, Z, Ziano, I, Gialitaki, Z, Ceary, C, Jang, Y, Lin, Y, Kunisato, Y, Yamada, Y, Xiao, Q, Jiang, X, Du, X, Yao, E, Ryan, W, Wilson, J, Cyrus-Lai, W, Jimenez-Leal, W, Law, W, Unanue, W, Collins, W, Richard, K, Vranka, M, Ankushev, V, Schei, V, Lerche, V, Kovic, V, Krizanic, V, Kadreva, V, Adoric, V, Tran, U, Yeung, S, Hassan, W, Houston, R, Machin, M, Lima, T, Ostermann, T, Frizzo, T, Sverdrup, T, House, T, Gill, T, Fedotov, M, Paltrow, T, Jernsather, T, Rahman, T, Machin, T, Koptjevskaja-Tamm, M, Hostler, T, Ishii, T, Szaszi, B, Adamus, S, Suter, L, von Bormann, S, Habib, S, Studzinska, A, Stojanovska, D, Janssen, S, Stieger, S, Schulenberg, S, Tatachari, S, Azouaghe, S, Sorokowski, P, Sorokowska, A, Song, X, Morbee, S, Lewis, S, Sinkolova, S, Grigoryev, D, Drexler, S, Daches, S, Levine, S, Geniole, S, Akter, S, Vracar, S, Massoni, S, Costa, S, Zorjan, S, Sarioguz, E, Izquierdo, S, Tshonda, S, Alves, S, Pontinen, S, Solas, S, Ordonez-Riano, S, Ocovaj, S, Onie, S, Lins, S, Biberauer, T, Coksan, S, Khumkom, S, Sacakli, A, Ruiz-Fernandez, S, Geiger, S, Modares, S, Walczak, R, Betlehem, R, Vilar, R, Carcamo, R, Ross, R, Mccarthy, R, Ballantyne, T, Westgate, E, Ryan, R, Gargurevich, R, Afhami, R, Ren, D, Monteiro, R, Reips, U, Reggev, N, Calin-Jagema, R, Pourafshari, R, Oliveira, R, Nedelcheva-Datsova, M, Rahal, R, Ribeiro, R, Radtke, T, Searston, R, Jai-ai, R, Habte, R, Zdybek, P, Chen, S, Wajanatinapart, P, Maturan, P, Perillo, J, Isager, P, Kacmar, P, Macapagal, P, Maniaci, M, Szwed, P, Hanel, P, Forbes, P, Arriaga, P, Paris, B, Parashar, N, Papachristopoulos, K, Correa, P, Kacha, O, Bernardo, M, Campos, O, Bravo, O, Galindo-Caballero, O, Ogbonnaya, C, Bialobrzeska, O, Kiselnikova, N, Simonovic, N, Cohen, N, Nock, N, Hernandez, A, Thogersen-Ntouma, C, Ntoumanis, N, Johannes, N, Albayrak-Aydemir, N, Say, N, Neubauer, A, Martin, N, Torunsky, N, van Antwerpen, N, Van Doren, N, Sunami, N, Rachev, N, Majeed, N, Schmidt, N, Nadif, K, Corral-Frias, N, Ouherrou, N, Abbas, N, Pantazi, M, Lucas, M, Vasilev, M, Ortiz, M, Butt, M, Kurfali, M, Kabir, M, Muda, R, Rivera, M, Sirota, M, Seehuus, M, Parzuchowski, M, Toro, M, Hricova, M, Maldonado, M, Rentzelas, P, Vansteenkiste, M, Metz, M, Marszalek, M, Karekla, M, Mioni, G, Bosma, M, Westerlund, M, Vdovic, M, Bialek, M, Silan, M, Anne, M, Misiak, M, Gugliandolo, M, Grinberg, M, Capizzi, M, Barria, M, Mensink, M, Harutyunyan, M, Khosla, M, Dunn, M, Korbmacher, M, Adamkovic, M, Ribeiro, M, Terskova, M, Hruska, M, Martoncik, M, Voracek, M, Cadek, M, Frias-Armenta, M, Kowal, M, Topor, M, Roczniewska, M, Oosterlinck, M, Kohlova, M, Paruzel-Czachura, M, Sabristov, M, Romanova, M, Papadatou-Pastou, M, Lund, M, Antoniadi, M, Magrin, M, Jones, M, Li, M, Manavalan, M, Muminov, A, Kossowska, M, Friedemann, M, Wielgus, M, van Hooff, M, Varella, M, Standage, M, Nicolotti, M, Colloff, M, Bradford, M, Vaughn, L, Eudave, L, Vieira, L, Lu, J, Pineda, L, Matos, L, Perez, L, Lazarevic, L, Jaremka, L, Smit, E, Kushnir, E, Ferguson, L, Anton-Boicuk, L, Coelho, G, Ahlgren, L, Liga, F, Levitan, C, Micheli, L, Gunton, L, Volz, L, Stojanovska, M, Boucher, L, Samojlenko, L, Delgado, L, Kaliska, L, Beatrix, L, Warmelink, L, Rojas-Berscia, L, Yu, K, Wylie, K, Wachowicz, J, Desai, K, Barzykowski, K, Kozma, L, Evans, K, Kirgizova, K, Agesin, B, Koehn, M, Wolfe, K, Korobova, T, Morris, K, Klevjer, K, van Schie, K, Vezirian, K, Damnjanovic, K, Thommesen, K, Schmidt, K, Filip, K, Staniaszek, K, Grzech, K, Hoyer, K, Moon, K, Khaobunmasiri, S, Rana, K, Janjic, K, Suchow, J, Kielinska, J, Vasquez, J, Chanal, J, Beitner, J, Vargas-Nieto, J, Roxas, J, Taber, J, Urriago-Rayo, J, Pavlacic, J, Benka, J, Bavolar, J, Soto, J, Olofsson, J, Vilsmeier, J, Messerschmidt, J, Czamanski-Cohen, J, Waterschoot, J, Moss, J, Boudesseul, J, Lee, J, Kamburidis, J, Joy-Gaba, J, Zickfeld, J, Miranda, J, Verharen, J, Hristova, E, Beshears, J, Djordjevic, J, Bosch, J, Valentova, J, Antfolk, J, Berkessel, J, Schrotter, J, Urban, J, Roer, J, Norton, J, Silva, J, Pickering, J, Vintr, J, Uttley, J, Kunst, J, Ndukaihe, I, Iyer, A, Vilares, I, Ivanov, A, Ropovik, I, Sula, I, Sarieva, I, Metin-Orta, I, Prusova, I, Pinto, I, Bozdoc, A, Almeida, I, Pit, I, Dalgar, I, Zakharov, I, Arinze, A, Ihaya, K, Stephen, I, Gjoneska, B, Brohmer, H, Flowe, H, Godbersen, H, Kocalar, H, Hedgebeth, M, Chuan-Peng, H, Sharifian, M, Manley, H, Akkas, H, Hajdu, N, Azab, H, Kaminski, G, Nilsonne, G, Anjum, G, Travaglino, G, Feldman, G, Pfuhl, G, Czarnek, G, Marcu, G, Hofer, G, Banik, G, Adetula, G, Bijlstra, G, Verbruggen, F, Kung, F, Martela, F, Foroni, F, Forest, J, Singer, G, Muchembled, F, Azevedo, F, Mosannenzadeh, F, Marinova, E, Strukelj, E, Etebari, Z, Bradshaw, E, Baskin, E, Garcia, E, Musser, E, van Steenkiste, I, Ahn, E, Quested, E, Pronizius, E, Jackson, E, Manunta, E, Agadullina, E, Sakan, D, Dursun, P, Dujols, O, Dubrov, D, Willis, M, Tumer, M, Beaudry, J, Popovic, D, Dunleavy, D, Djamai, I, Krupic, D, Herrera, D, Vega, D, Du, H, Mola, D, Chakarova, D, Davis, W, Holford, D, Lewis, D, Vaidis, D, Ozery, D, Ricaurte, D, Storage, D, Sousa, D, Alvarez, D, Boller, D, Dalla Rosa, A, Dimova, D, Marko, D, Moreau, D, Reeck, C, Correia, R, Whitt, C, Lamm, C, Solorzano, C, von Bastian, C, Sutherland, C, Overkott, C, Aberson, C, Wang, C, Niemiec, C, Karashiali, C, Noone, C, Chiu, F, Picciocchi, C, Brownlow, C, Karaarslan, C, Cellini, N, Esteban-Serna, C, Reyna, C, Ferreyra, C, Batres, C, Li, R, Grano, C, Carpentier, J, Tamnes, C, Fu, C, Ishkhanyan, B, Bylinina, L, Jaeger, B, Bundt, C, Allred, T, Vermote, B, Bokkour, A, Bogatyreva, N, Shi, J, Chopik, W, Antazo, B, Behzadnia, B, Becker, M, Bayyat, M, Cocco, B, Chou, W, Barkoukis, V, Hubena, B, Zuro, B, Aczel, B, Baklanova, E, Bai, H, Balci, B, Babincak, P, Soenens, B, Dixson, B, Mokady, A, Kappes, H, Atari, M, Szala, A, Szabelska, A, Aruta, J, Domurat, A, Arinze, N, Modena, A, Adiguzel, A, Monajem, A, El Arabi, K, Ozdogru, A, Rothbaum, A, Torres, A, Theodoropoulou, A, Skowronek, A, Jurkovic, A, Singh, A, Kassianos, A, Findor, A, Hartanto, A, Landry, A, Ferreira, A, Santos, A, De la Rosa-Gomez, A, Gourdon-Kanhukamwe, A, Luxon, A, Todsen, A, Karababa, A, Janak, A, Pilato, A, Bran, A, Tullett, A, Kuzminska, A, Krafnick, A, Urooj, A, Khaoudi, A, Ahmed, A, Groyecka-Bernard, A, Askelund, A, Adetula, A, Belaus, A, Charyate, A, Wichman, A, Stoyanova, A, Greenburgh, A, Thomas, A, Arvanitis, A, Forscher, P, Mallik, P, Coles, N, Miller, J, Moshontz, H, Urry, H, Ijzerman, H, Basnight-Brown, D, Ebersole, C, Chartier, C, Buchanan, E, Primbs, M, Medical and Clinical Psychology, Department of Social Psychology, Psychological Science Accelerator Self-Determination Theory Collaboration, Legate, N., Nguyen, T. -V., Weinstein, N., Moller, A., Legault, L., Vally, Z., Tajchman, Z., Zsido, A. N., Zrimsek, M., Chen, Z., Ziano, I., Gialitaki, Z., Basnight-Brown, D. M., Ceary, C. D., Jang, Y., Ijzerman, H., Lin, Y., Kunisato, Y., Yamada, Y., Xiao, Q., Jiang, X., Du, X., Yao, E., Ryan, W. S., Wilson, J. P., Cyrus-Lai, W., Jimenez-Leal, W., Law, W., Unanue, W., Collins, W. M., Richard, K. L., Vranka, M., Ankushev, V., Schei, V., Lerche, V., Kovic, V., Krizanic, V., Kadreva, V. H., Adoric, V. C., Tran, U. S., Yeung, S. K., Hassan, W., Houston, R., Urry, H. L., Machin, M. A., Lima, T. J. S., Ostermann, T., Frizzo, T., Sverdrup, T. E., House, T., Gill, T., Fedotov, M., Paltrow, T., Moshontz, H., Jernsather, T., Rahman, T., Machin, T., Koptjevskaja-Tamm, M., Hostler, T. J., Ishii, T., Szaszi, B., Adamus, S., Suter, L., Von Bormann, S. M., Habib, S., Studzinska, A., Stojanovska, D., Janssen, S. M. J., Stieger, S., Primbs, M. A., Schulenberg, S. E., Buchanan, E. M., Tatachari, S., Azouaghe, S., Sorokowski, P., Sorokowska, A., Song, X., Morbee, S., Lewis, S., Sinkolova, S., Grigoryev, D., Drexler, S. M., Daches, S., Levine, S. L., Geniole, S. N., Akter, S., Vracar, S., Massoni, S., Costa, S., Zorjan, S., Sarioguz, E., Izquierdo, S. M., Tshonda, S. S., Miller, J. K., Alves, S. G., Pontinen, S., Solas, S. A., Ordonez-Riano, S., Ocovaj, S. B., Onie, S., Lins, S., Biberauer, T., Coksan, S., Khumkom, S., Sacakli, A., Coles, N. A., Ruiz-Fernandez, S., Geiger, S. J., Fatahmodares, S., Walczak, R. B., Betlehem, R., Vilar, R., Carcamo, R. A., Ross, R. M., Mccarthy, R., Ballantyne, T., Westgate, E. C., Ryan, R. M., Gargurevich, R., Afhami, R., Ren, D., Monteiro, R. P., Reips, U. -D., Reggev, N., Calin-Jageman, R. J., Pourafshari, R., Oliveira, R., Nedelcheva-Datsova, M., Rahal, R. -M., Ribeiro, R. R., Radtke, T., Searston, R., Jai-Ai, R., Habte, R., Zdybek, P., Chen, S. -C., Wajanatinapart, P., Maturan, P. L. G., Perillo, J. T., Isager, P. M., Kacmar, P., Macapagal, P. M., Maniaci, M. R., Szwed, P., Hanel, P. H. P., Forbes, P. A. G., Arriaga, P., Paris, B., Parashar, N., Papachristopoulos, K., Chartier, C. R., Correa, P. S., Kacha, O., Bernardo, M., Campos, O., Bravo, O. N., Mallik, P. R., Galindo-Caballero, O. J., Ogbonnaya, C. E., Bialobrzeska, O., Kiselnikova, N., Simonovic, N., Cohen, N., Nock, N. L., Hernandez, A., Thogersen-Ntoumani, C., Ntoumanis, N., Johannes, N., Albayrak-Aydemir, N., Say, N., Neubauer, A. B., Martin, N. I., Torunsky, N., Van Antwerpen, N., Van Doren, N., Sunami, N., Rachev, N. R., Majeed, N. M., Schmidt, N. -D., Nadif, K., Forscher, P. S., Corral-Frias, N. S., Ouherrou, N., Abbas, N., Pantazi, M., Lucas, M. Y., Vasilev, M. R., Ortiz, M. V., Butt, M. M., Kurfali, M., Kabir, M., Muda, R., Del Carmen, M. C. Tejada Rivera M., Sirota, M., Seehuus, M., Parzuchowski, M., Toro, M., Hricova, M., Maldonado, M. A., Arvanitis, A., Rentzelas, P., Vansteenkiste, M., Metz, M. A., Marszalek, M., Karekla, M., Mioni, G., Bosma, M. J., Westerlund, M., Vdovic, M., Bialek, M., Silan, M. A., Anne, M., Misiak, M., Gugliandolo, M. C., Grinberg, M., Capizzi, M., Espinoza Barria, M. F., Kurfali, M. A., Mensink, M. C., Harutyunyan, M., Khosla, M., Dunn, M. R., Korbmacher, M., Adamkovic, M., Ribeiro, M. F. F., Terskova, M., Hruska, M., Martoncik, M., Voracek, M., Cadek, M., Frias-Armenta, M., Kowal, M., Topor, M., Roczniewska, M., Oosterlinck, M., Thomas, A. G., Kohlova, M. B., Paruzel-Czachura, M., Sabristov, M., Greenburgh, A., Romanova, M., Papadatou-Pastou, M., Lund, M. L., Antoniadi, M., Magrin, M. E., Jones, M. V., Li, M., Ortiz, M. S., Manavalan, M., Muminov, A., Stoyanova, A., Kossowska, M., Friedemann, M., Wielgus, M., Van Hooff, M. L. M., Varella, M. A. C., Standage, M., Nicolotti, M., Colloff, M. F., Bradford, M., Vaughn, L. A., Eudave, L., Vieira, L., Lu, J. G., Pineda, L. M. S., Matos, L., Perez, L. C., Lazarevic, L. B., Jaremka, L. M., Smit, E. S., Kushnir, E., Wichman, A. L., Ferguson, L. J., Anton-Boicuk, L., De Holanda Coelho, G. L., Ahlgren, L., Liga, F., Levitan, C. A., Micheli, L., Gunton, L. -A., Volz, L., Stojanovska, M., Boucher, L., Samojlenko, L., Delgado, L. G. J., Kaliska, L., Beatrix, L., Warmelink, L., Rojas-Berscia, L. M., Yu, K., Wylie, K., Wachowicz, J., Charyate, A. C., Desai, K., Barzykowski, K., Kozma, L., Evans, K., Kirgizova, K., Belaus, A., Emmanuel Agesin, B. B., Koehn, M. A., Wolfe, K., Korobova, T., Morris, K., Klevjer, K., Van Schie, K., Vezirian, K., Damnjanovic, K., Thommesen, K. K., Schmidt, K., Filip, K., Staniaszek, K., Adetula, A., Grzech, K., Hoyer, K., Moon, K., Khaobunmasiri, S., Rana, K., Janjic, K., Suchow, J. W., Kielinska, J., Cruz Vasquez, J. E., Chanal, J., Beitner, J., Vargas-Nieto, J. C., Roxas, J. C. T., Taber, J., Urriago-Rayo, J., Askelund, A. D., Pavlacic, J. M., Benka, J., Bavolar, J., Soto, J. A., Olofsson, J. K., Vilsmeier, J. K., Messerschmidt, J., Czamanski-Cohen, J., Waterschoot, J., Moss, J. D., Boudesseul, J., Lee, J. M., Kamburidis, J., Joy-Gaba, J. A., Zickfeld, J., Miranda, J. F., Verharen, J. P. H., Hristova, E., Beshears, J. E., Djordjevic, J. M., Bosch, J., Valentova, J. V., Antfolk, J., Berkessel, J. B., Schrotter, J., Urban, J., Roer, J. P., Norton, J. O., Silva, J. R., Pickering, J. S., Vintr, J., Uttley, J., Kunst, J. R., Ndukaihe, I. L. G., Iyer, A., Vilares, I., Ivanov, A., Ropovik, I., Sula, I., Groyecka-Bernard, A., Sarieva, I., Metin-Orta, I., Prusova, I., Pinto, I., Bozdoc, A. I., Almeida, I. A. T., Pit, I. L., Dalgar, I., Zakharov, I., Arinze, A. I., Ihaya, K., Stephen, I. D., Gjoneska, B., Brohmer, H., Flowe, H., Godbersen, H., Kocalar, H. E., Hedgebeth, M. V., Chuan-Peng, H., Sharifian, M., Manley, H., Akkas, H., Hajdu, N., Azab, H., Kaminski, G., Nilsonne, G., Anjum, G., Travaglino, G. A., Feldman, G., Pfuhl, G., Czarnek, G., Marcu, G. M., Hofer, G., Banik, G., Adetula, G. A., Bijlstra, G., Verbruggen, F., Kung, F. Y. H., Martela, F., Foroni, F., Forest, J., Singer, G., Muchembled, F., Azevedo, F., Mosannenzadeh, F., Marinova, E., Strukelj, E., Etebari, Z., Bradshaw, E. L., Baskin, E., Garcia, E. O. L., Musser, E., Van Steenkiste, I. M. M., Ahn, E. R., Quested, E., Pronizius, E., Jackson, E. A., Manunta, E., Agadullina, E., Sakan, D., Dursun, P., Dujols, O., Dubrov, D., Willis, M., Tumer, M., Beaudry, J. L., Popovic, D., Dunleavy, D., Djamai, I., Krupic, D., Herrera, D., Vega, D., Du, H., Mola, D., Chakarova, D., Davis, W. E., Holford, D. L., Lewis, D. M. G., Vaidis, D. C., Ozery, D. H., Ricaurte, D. Z., Storage, D., Sousa, D., Alvarez, D. S., Boller, D., Rosa, A. D., Dimova, D., Marko, D., Moreau, D., Reeck, C., Correia, R. C., Whitt, C. M., Lamm, C., Solorzano, C. S., Von Bastian, C. C., Sutherland, C. A. M., Ebersole, C. R., Overkott, C., Aberson, C. L., Wang, C., Niemiec, C. P., Karashiali, C., Noone, C., Chiu, F., Picciocchi, C., Brownlow, C., Karaarslan, C., Cellini, N., Esteban-Serna, C., Reyna, C., Ferreyra, C., Batres, C., Li, R., Grano, C., Carpentier, J., Tamnes, C. K., Fu, C. H. Y., Ishkhanyan, B., Bylinina, L., Jaeger, B., Bundt, C., Allred, T. B., Vermote, B. J., Bokkour, A., Bogatyreva, N., Shi, J., Chopik, W. J., Antazo, B., Behzadnia, B., Becker, M., Bayyat, M. M., Cocco, B., Ahmed, A., Chou, W. -L., Barkoukis, V., Hubena, B., Khaoudi, A., Zuro, B., Aczel, B., Baklanova, E., Bai, H., Balci, B. B., Babincak, P., Soenens, B., Dixson, B. J. W., Mokady, A., Kappes, H. B., Atari, M., Szala, A., Szabelska, A., Aruta, J. J. B., Domurat, A., Arinze, N. C., Modena, A., Adiguzel, A., Monajem, A., Ait El Arabi, K., Ozdogru, A. A., Rothbaum, A. O., Torres, A. O., Theodoropoulou, A., Skowronek, A., Urooj, A., Jurkovic, A. P., Singh, A., Kassianos, A. P., Findor, A., Hartanto, A., Landry, A. T., Ferreira, A., Santos, A. C., De La Rosa-Gomez, A., Gourdon-Kanhukamwe, A., Luxon, A. M., Todsen, A. L., Karababa, A., Janak, A., Pilato, A., Bran, A., Tullett, A. M., Kuzminska, A. O., Krafnick, A. J., Department of Industrial Engineering and Management, Aalto-yliopisto, Aalto University, Massey, D., Kurfali, Merve A., Collaboration, Psychological Science Accelerator Self-Determination Theory, FdR overig onderzoek, Persuasive Communication (ASCoR, FMG), and Organizational Psychology
- Subjects
behavior change ,Coronavirus disease 2019 (COVID-19) ,230 Affective Neuroscience ,INTENTIONS ,L400 ,self-determination theory ,Physical Distancing ,Social Sciences ,Intention ,Ciências Sociais::Psicologia [Domínio/Área Científica] ,FATIGUE ,motivation ,PARENTAL PROHIBITION ,SDG 3 - Good Health and Well-being ,Pandemic ,Humans ,health communication ,MESSAGES ,Sociology ,Pandemics ,METAANALYSIS ,COVID-19 ,Behaviour Change and Well-being ,Multidisciplinary ,business.industry ,Social distance ,Public relations ,Motivation ,INTERNALIZATION ,business ,BEHAVIOR - Abstract
Significance\ud \ud Communicating in ways that motivate engagement in social distancing remains a critical global public health priority during the COVID-19 pandemic. This study tested motivational qualities of messages about social distancing (those that promoted choice and agency vs. those that were forceful and shaming) in 25,718 people in 89 countries. The autonomy-supportive message decreased feelings of defying social distancing recommendations relative to the controlling message, and the controlling message increased controlled motivation, a less effective form of motivation, relative to no message. Message type did not impact intentions to socially distance, but people’s existing motivations were related to intentions. Findings were generalizable across a geographically diverse sample and may inform public health communication strategies in this and future global health emergencies.\ud \ud \ud \ud Abstract\ud \ud Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges.
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- 2022
44. Structure of SARS-CoV-2 Orf3a in plasma membrane-like environment, MSP1D1 nanodisc
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Miller, A.N., primary, Houlihan, P.R., additional, Matamala, E., additional, Cabezas-Bratesco, D., additional, Lee, G.Y., additional, Cristofori-Armstrong, B., additional, Dilan, T.L., additional, Sanchez-Martinez, S., additional, Matthies, D., additional, Yan, R., additional, Yu, Z., additional, Ren, D., additional, Brauchi, S.E., additional, and Clapham, D.E., additional
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- 2023
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45. Structure of SARS-CoV-1 Orf3a in late endosome/lysosome-like environment, MSP1D1 nanodisc
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Miller, A.N., primary, Houlihan, P.R., additional, Matamala, E., additional, Cabezas-Bratesco, D., additional, Lee, G.Y., additional, Cristofori-Armstrong, B., additional, Dilan, T.L., additional, Sanchez-Martinez, S., additional, Matthies, D., additional, Yan, R., additional, Yu, Z., additional, Ren, D., additional, Brauchi, S.E., additional, and Clapham, D.E., additional
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- 2023
- Full Text
- View/download PDF
46. Structure of SARS-CoV-2 Orf3a in late endosome/lysosome-like environment, Saposin A nanodisc
- Author
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Miller, A.N., primary, Houlihan, P.R., additional, Matamala, E., additional, Cabezas-Bratesco, D., additional, Lee, G.Y., additional, Cristofori-Armstrong, B., additional, Dilan, T.L., additional, Sanchez-Martinez, S., additional, Matthies, D., additional, Yan, R., additional, Yu, Z., additional, Ren, D., additional, Brauchi, S.E., additional, and Clapham, D.E., additional
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- 2023
- Full Text
- View/download PDF
47. Structure of SARS-CoV-2 Orf3a in late endosome/lysosome-like membrane environment, MSP1D1 nanodisc
- Author
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Miller, A.N., primary, Houlihan, P.R., additional, Matamala, E., additional, Cabezas-Bratesco, D., additional, Lee, G.Y., additional, Cristofori-Armstrong, B., additional, Dilan, T.L., additional, Sanchez-Martinez, S., additional, Matthies, D., additional, Yan, R., additional, Yu, Z., additional, Ren, D., additional, Brauchi, S.E., additional, and Clapham, D.E., additional
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- 2023
- Full Text
- View/download PDF
48. P337 Developing Preliminary MRI-based Classifier for Perianal Fistulizing Crohn’s Disease by Using Deep Convolutional Neural Networks
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Zhang, H, primary, Li, L, additional, Deng, K, additional, Li, W, additional, and Ren, D, additional
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- 2023
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49. Probable longer incubation period for human infection with avian influenza A(H7N9) virus in Jiangsu Province, China, 2013
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HUANG, Y., XU, K., REN, D. F., AI, J., JI, H., GE, A. H., BAO, C. J., SHI, G. Q., SHEN, T., TANG, F. Y., ZHU, Y. F., ZHOU, M. H., and WANG, H.
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- 2014
50. Periprosthetic Joint Infection Caused by Mycoplasma hominis, Diagnosed Using Metagenomic Sequencing
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Wang H, Ren D, Li H, and Wang S
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Medicine (General) ,R5-920 ,metagenomic sequencing ,knee ,mycoplasma hominis ,infection - Abstract
Haiying Wang, Dongliang Ren, Hui Li, Shunyi Wang Department of Orthopaedic Surgery, Baoding No.1 Central Hospital, Baoding, 071000, People’s Republic of ChinaCorrespondence: Shunyi WangDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, Hebei, 071000, People’s Republic of ChinaTel +8613021878068Fax +863125975050Email hbtswhy1@163.comAbstract: To our knowledge, the periprosthetic joint infection (PJI) caused by Mycoplasma hominis is a rare postoperative complication after total knee arthroplasty (TKA). Just a few cases associated with Mycoplasma hominis infection after TKA were reported all over the world currently. In view of the difficulty involved in isolating this microorganism, Mycoplasma hominis infection may be under-recognized and should be considered in culture-negative cases where the microbial etiology is not easily identified. Metagenomic sequencing is a new tool to identify pathogens undetected by conventional methods. In this report, we present a case where metagenomic sequencing was used to identify Mycoplasma hominis as a novel PJI pathogen after TKA in our hospital.Keywords: knee, infection, Mycoplasma hominis, metagenomic sequencing
- Published
- 2021
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