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456 results on '"Pi M"'

3. Ultrafast relaxation of photoexcited superfluid He nanodroplets.

Author

Mudrich, M, LaForge, AC, Ciavardini, A, O'Keeffe, P, Callegari, C, Coreno, M, Demidovich, A, Devetta, M, Fraia, M Di, Drabbels, M, Finetti, P, Gessner, O, Grazioli, C, Hernando, A, Neumark, DM, Ovcharenko, Y, Piseri, P, Plekan, O, Prince, KC, Richter, R, Ziemkiewicz, MP, Möller, T, Eloranta, J, Pi, M, Barranco, M, and Stienkemeier, F

Abstract

The relaxation of photoexcited nanosystems is a fundamental process of light-matter interaction. Depending on the couplings of the internal degrees of freedom, relaxation can be ultrafast, converting electronic energy in a few fs, or slow, if the energy is trapped in a metastable state that decouples from its environment. Here, we study helium nanodroplets excited resonantly by femtosecond extreme-ultraviolet (XUV) pulses from a seeded free-electron laser. Despite their superfluid nature, we find that helium nanodroplets in the lowest electronically excited states undergo ultrafast relaxation. By comparing experimental photoelectron spectra with time-dependent density functional theory simulations, we unravel the full relaxation pathway: Following an ultrafast interband transition, a void nanometer-sized bubble forms around the localized excitation (He[Formula: see text]) within 1 ps. Subsequently, the bubble collapses and releases metastable He[Formula: see text] at the droplet surface. This study highlights the high level of detail achievable in probing the photodynamics of nanosystems using tunable XUV pulses.

Published
2020

4. Preoperative Bevacizumab for Tractional Retinal Detachment in Proliferative Diabetic Retinopathy: A Prospective Randomized Clinical Trial

Author

Arevalo, J.F., Liu, T.Y.A., Wu (PI), L., Lasave (PI), A.F., Farah (PI), M., Maia, M., Penha, F.M., Rodrigues, E.B., Morales-Canton (PI), V., Fromow-Guerra, J., Guerrero-Naranjo, J.L., Dalma-Weiszhausz, J., Velez-Montoya, R., Quiroz-Mercado, H., Rodriguez (PI), F.J., Gomez, F.E., Brieke, A.C., Goveto, A., Berrocal (PI), M.H., Cruz-Villegas, V., Graue-Wiechers (PI), F., Lozano-Rechy, D., Fulda-Graue, E., Roca (PI), J.A., Hernández, A., Saravia (PI), M.J., Schlaen, A., Rojas, J., Ingolotti, M., Avila (PI), M., Carla, L., Cardillo (PI), J., Jorge, R., Carpentier (PI), C., Verdaguer T, J., Verdaguer D, J.I., Sepúlveda, G., Alezzandrini (PI), A., Garcia, B., Zas, M., Gallego-Pinazo (PI), R., Diaz-Llopis, M., Dolz-Marco, R., Figueroa (PI), M., Contreras, I., Ruiz-Casas, D., Arevalo, J. Fernando, Lasave, Andres F., Kozak, Igor, Al Rashaed, Saba, Al Kahtani, Eman, Maia, Mauricio, Farah, Michel E., Cutolo, Caroline, Brito, Miguel, Osorio, Claudia, Navarro, Patricia, Wu, Lihteh, Berrocal, María H., Morales-Canton, Virgilio, Serrano, Martin A., Graue-Wiechers, Federico, Sabrosa, Nelson Alexandre, Alezzandrini, Arturo A., and Gallego-Pinazo, Roberto

Published
2019
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5. Cross-Sectional Study on the Correlation Between Vaginal Microecology and High-Risk Human Papillomavirus Infection: Establishment of a Clinical Prediction Model

Author

Liu HM, Zhang F, Cai HY, Lv YM, and Pi MY

Subjects
vaginal microecology, high-risk human papillomavirus, logistic regression, decision tree, random forest, Gynecology and obstetrics, RG1-991
Abstract

Hua-Mei Liu,1 Fan Zhang,1 Heng-Yun Cai,1 Yu-Mei Lv,2 Meng-Yuan Pi1 1Department of Gynecology and Obstetrics, Xiangyang Hospital of Integrated Chinese and Western Medicine, Xiangyang, Hubei, 441004, People’s Republic of China; 2Department of Clinical Laboratory, Xiangyang Hospital of Integrated Chinese and Western Medicine, Xiangyang, Hubei, 441004, People’s Republic of ChinaCorrespondence: Hua-Mei Liu, Department of Gynecology and Obstetrics, Xiangyang Hospital of Integrated Chinese and Western Medicine, 16 Dongfeng Automobile Avenue, High Tech Zone, Xiangyang, Hubei, 441004, People’s Republic of China, Email hmliuswmu@163.comPurpose: High-risk human papillomavirus (HR-HPV) is a significant risk factor for cervical precancerous lesions and cancer. This study aimed to investigate the relationship between vaginal microecology and HR-HPV infection and to evaluate the clinical applicability of vaginal microecology in predicting HR-HPV infection.Patients and Methods: Overall, 2000 women with simultaneously detected vaginal discharge and cervical HPV were selected between March 2022 and March 2023, including 241 and 1759 cases in the HR-HPV positive and HPV negative groups, respectively.Results: No significant differences were found in age, vulvovaginal candidiasis, trichomonas vaginitis, and β-N-acetylglucosaminosidase between the two groups (P> 0.05). Significant differences were observed in Lactobacillus deficiency, bacterial vaginitis (BV), aerobic vaginitis (AV), glucuronidase (GUS), sialidase (SNA), and leukocyte esterase (LE) between the two groups (P< 0.05). In the multivariate logistic regression equation, Lactobacillus deficiency, BV, AV, SNA, LE, and GUS were risk factors for HR-HPV infection (P< 0.05). Three prediction models, namely, logistic regression, decision tree, and random forest, were established to rank the importance of the predictors. BV ranked first among the three prediction models. The logistic regression model demonstrated the highest accuracy in predicting the risk of HR-HPV infection. The calibration curve of the logistic regression model showed a strong correlation between the predicted and actual probabilities, and decision curve analysis revealed that the prediction model had good clinical applicability.Conclusion: Overall, vaginal microecology imbalance was closely associated with cervical HR-HPV infection, particularly BV and AV. The logistic regression model for the risk of HR-HPV infection based on six predictive factors (BV, AV, LE, SNA, Lactobacillus deficiency, and GUS) had good accuracy and clinical applicability.Keywords: vaginal microecology, high-risk human papillomavirus, logistic regression, decision tree, random forest

Published
2024

50. Dielectric confinement in quantum dots of arbitrary shape within the local spin density approximation: Diluted regimes in elongated quantum dots.

Author

Movilla, J. L., Pi, M., and Planelles, J.

Subjects
*DIELECTRIC measurements, *QUANTUM dots, *ARBITRARY constants, *ELECTRIC charge, *QUANTUM electronics
Abstract

We propose a simplified and computationally feasible model accounting for the dielectric confinement in arbitrarily shaped many-electron quantum dots, within the local spin density approximation. The model yields quite a good agreement with full configuration interaction calculations including exact dielectric confinement. The model is used to study the influence of the dielectric confinement on the electronic charge distribution of elongated quantum dots in the low density regime. [ABSTRACT FROM AUTHOR]

Published
2010
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