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160 results on '"Pi M"'

1. 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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2. Ultrafast relaxation of photoexcited superfluid He nanodroplets

Author

Mudrich, M., LaForge, A. C., 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, D. M., Ovcharenko, Y., Piseri, P., Plekan, O., Prince, K. C., Richter, R., Ziemkiewicz, M. P., Möller, T., Eloranta, J., Pi, M., Barranco, M., and Stienkemeier, F.

Published
2020
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3. 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

44. 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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45. Nonparabolicity and dielectric effects on addition energy spectra of spherical nanocrystals.

Author

Planelles, J., Royo, M., and Pi, M.

Subjects
NANOCRYSTALS, DENSITY functionals, QUANTUM electronics, QUANTUM dots, CONDUCTION bands
Abstract

An extension of the spin density functional theory simultaneously accounting for dielectric mismatch between neighboring materials and nonparabolicity corrections originating from interactions between conduction and valence bands is presented. This method is employed to calculate ground state and addition energy spectra of homogeneous and multishell spherical quantum dots. Our calculations reveal that corrections become especially relevant when they come into play simultaneously in strong regimes of spatial confinement. [ABSTRACT FROM AUTHOR]

Published
2007
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46. A consistent extension of the local spin density approximation to account for quantum dot mass and dielectric mismatches.

Author

Pi, M., Royo, M., and Planelles, J.

Subjects
*QUANTUM dots, *QUANTUM electronics, *DIELECTRICS, *PROPERTIES of matter, *NANOCRYSTALS
Abstract

A consistent extension of local spin density approximation (LSDA) to account for mass and dielectric mismatches in nanocrystals is presented. The extension accounting for variable effective mass is exact. Illustrative comparisons with available configuration interaction calculations show that the approach is also very reliable when it comes to account for dielectric mismatches. The modified LSDA is as fast and computationally low demanding as LSDA. Therefore, it is a tool suitable to study large particle systems in inhomogeneous media without much effort. [ABSTRACT FROM AUTHOR]

Published
2006
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