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15,003 results on '"Toi A"'

1. Biological Markers of Musculoskeletal Pain: A Scoping Review

Author

Djade CD, Diorio C, Laurin D, Hessou SPH, Toi AK, Gogovor A, Sidibe A, Ekanmian G, Porgo TV, Zomahoun HTV, and Dionne CE

Subjects
musculoskeletal pain, biomarkers, scoping review, Medicine (General), R5-920
Abstract

Codjo Djignefa Djade,1– 3,* Caroline Diorio,1,2,* Danielle Laurin,2– 4,* Septime Pepin Hector Hessou,1 Alfred Kodjo Toi,2 Amédé Gogovor,2 Aboubacar Sidibe,1 Giraud Ekanmian,2 Teegwendé Valérie Porgo,5 Hervé Tchala Vignon Zomahoun,1 Clermont E Dionne1– 3,6,* 1Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec City, QC, Canada; 2Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; 3Centre d’Excellence sur le Vieillissement de Québec (CEVQ), VITAM – Research Center on Sustainable Health, Québec City, QC, Canada; 4Faculty of Pharmacy, Université Laval, Québec City, QC, Canada; 5World Bank Group, Health, Nutrition, and Population Global Practice, Washington (DC), USA; 6Department of Rehabilitation, Faculty of Medicine, Université Laval, Québec City, QC, Canada*These authors contributed equally to this workCorrespondence: Clermont E Dionne, Centre de recherche du CHU de Québec-Université Laval, Hôpital du Saint-Sacrement, 1050, chemin Ste-Foy, Québec, QC, G1S 4L8, Canada, Tel +1(418) 682-7511 ext. 84675, Fax +1(418) 682-7949, Email clermont.dionne@crchudequebec.ulaval.caBackground: Musculoskeletal pain (MSP) is the leading contributor to disability, limiting mobility and dexterity. As research on the determinants of MSP is evolving, biomarkers can probably play a significant role in understanding its causes and improving its clinical management. This scoping review aimed to provide an overview of the associations between biomarkers and MSP.Methods: This study followed Arksey and O’Malley and PRISMA-ScR recommendations. Keywords related to biomarkers, association, and MSP were searched on PubMed, Embase, Cochrane, and Web of Science databases from inception to September 28th, 2023. Data were systematically retrieved from the retained articles. A narrative synthesis approach – but no quality assessment – was used to map the core themes of biological markers of MSP that emerged from this work.Results: In total, 81 out of 25,165 identified articles were included in this scoping review. These studies were heterogeneous in many aspects. Overall, vitamin D deficiency, dyslipidemia (or hypercholesterolemia), and cytokines (high levels) were the most studied biomarkers with regards to MSP and were most often reported to be associated with non-specific MSP. Cadmium, calcium, C-reactive protein, collagen, creatinine, hormones, omega-3 fatty acids, sodium, tumor necrosis factor-alpha, and vitamin C were also reported to be associated with MSP syndromes, but the evidence on these associations was sketchier. No conclusions could be drawn as to age and sex.Conclusions: Our findings suggest that some biomarkers are associated with specific MSP syndromes, while others would be associated with non-specific syndromes. Among all candidate markers, the evidence seems to be more consistent for vitamin D, cytokines and lipids (total cholesterol, triglycerides, low- and high-density lipoproteins). High-quality studies, stratified by age and sex, are needed to advance our understanding on biomarkers of MSP.Keywords: musculoskeletal pain, biomarkers, scoping review

Published
2024

2. JANET: Joint Adaptive predictioN-region Estimation for Time-series

Author

English, Eshant, Wong-Toi, Eliot, Fontana, Matteo, Mandt, Stephan, Smyth, Padhraic, and Lippert, Christoph

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology
Abstract

Conformal prediction provides machine learning models with prediction sets that offer theoretical guarantees, but the underlying assumption of exchangeability limits its applicability to time series data. Furthermore, existing approaches struggle to handle multi-step ahead prediction tasks, where uncertainty estimates across multiple future time points are crucial. We propose JANET (Joint Adaptive predictioN-region Estimation for Time-series), a novel framework for constructing conformal prediction regions that are valid for both univariate and multivariate time series. JANET generalises the inductive conformal framework and efficiently produces joint prediction regions with controlled K-familywise error rates, enabling flexible adaptation to specific application needs. Our empirical evaluation demonstrates JANET's superior performance in multi-step prediction tasks across diverse time series datasets, highlighting its potential for reliable and interpretable uncertainty quantification in sequential data., Comment: Alternate Title: Conformalised Joint Prediction Region for Time Series

Published
2024

6. Efficacy of High Flow Nasal Cannula in the Treatment of Patients with COVID-19 with Acute Respiratory Distress Syndrome: Results of Single Centre Study in Vietnam

Author

Duong-Quy, Sy, Huynh-Truong-Anh, Duc, Tang-Thi-Thao, Tram, Nguyen-Ngoc-Phuong, Thu, Hoang-Phi-Tuyet, Phung, Nguyen-Tuan, Anh, Nguyen-Van, Toi, Nguyen-Chi, Thanh, Nguyen-Thi-Kim, Thanh, Nguyen-Quang, Tien, Tran-Ngoc-Anh, Thuy, Nguyen-Van-Hoai, Nam, Do-Thi-Thu, Mai, Hoang-Thi-Xuan, Huong, Nguyen-Duy, Thai, Nguyen-Hai, Cong, Huynh-Anh, Tuan, Vu-Tran-Thien, Quan, Bui-Diem, Khue, Nguyen-Mong, Giang, Nguyen-Lan, Hieu, Vu-Van, Giap, Phan-Thu, Phuong, Nguyen-Viet, Long, Nguyen-Hong, Chuong, Dinh-Ngoc, Sy, Nguyen-Duc, Trong, Truong-Viet, Dung, Vo-Pham-Minh, Thu, Le-Khac, Bao, Nguyen-Hong, Duc, Craig, Timothy, and Nguyen-Nhu, Vinh

Published
2024
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10. Quantum natural gradient without monotonicity

Author

Sasaki, Toi and Miyahara, Hideyuki

Subjects
Quantum Physics, Condensed Matter - Statistical Mechanics, Computer Science - Information Theory, Physics - Computational Physics, Statistics - Machine Learning
Abstract

Natural gradient (NG) is an information-geometric optimization method that plays a crucial role, especially in the estimation of parameters for machine learning models like neural networks. To apply NG to quantum systems, the quantum natural gradient (QNG) was introduced and utilized for noisy intermediate-scale devices. Additionally, a mathematically equivalent approach to QNG, known as the stochastic reconfiguration method, has been implemented to enhance the performance of quantum Monte Carlo methods. It is worth noting that these methods are based on the symmetric logarithmic derivative (SLD) metric, which is one of the monotone metrics. So far, monotonicity has been believed to be a guiding principle to construct a geometry in physics. In this paper, we propose generalized QNG by removing the condition of monotonicity. Initially, we demonstrate that monotonicity is a crucial condition for conventional QNG to be optimal. Subsequently, we provide analytical and numerical evidence showing that non-monotone QNG outperforms conventional QNG based on the SLD metric in terms of convergence speed., Comment: 6 pages, 3 figures

Published
2024
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11. Patient-Reported Outcomes in OlympiA: A Phase III, Randomized, Placebo-Controlled Trial of Adjuvant Olaparib in gBRCA1/2 Mutations and High-Risk Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer.

Author

Ganz, Patricia, Bandos, Hanna, Španić, Tanja, Friedman, Sue, Müller, Volkmar, Kuemmel, Sherko, Delaloge, Suzette, Brain, Etienne, Toi, Masakazu, Yamauchi, Hideko, de Dueñas, Eduardo-M, Armstrong, Anne, Im, Seock-Ah, Song, Chuan-Gui, Zheng, Hong, Sarosiek, Tomasz, Sharma, Priyanka, Geng, Cuizhi, Fu, Peifen, Rhiem, Kerstin, Frauchiger-Heuer, Heike, Wimberger, Pauline, tKint de Roodenbeke, Daphné, Liao, Ning, Goodwin, Annabel, Chakiba-Brugère, Camille, Friedlander, Michael, Lee, Keun, Giacchetti, Sylvie, Takano, Toshimi, Henao-Carrasco, Fernando, Virani, Shamsuddin, Valdes-Albini, Frances, Domchek, Susan, Bane, Charles, McCarron, Edward, Mita, Monica, Rossi, Giovanna, Rastogi, Priya, Fielding, Anitra, Gelber, Richard, Scheepers, Elsemieke, Cameron, David, Garber, Judy, Geyer, Charles, and Tutt, Andrew

Subjects
Female, Humans, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Fatigue, Mutation, Nausea, Patient Reported Outcome Measures, Phthalazines, Piperazines, Quality of Life, Receptor, ErbB-2, Vomiting
Abstract

PURPOSE: The OlympiA randomized phase III trial compared 1 year of olaparib (OL) or placebo (PL) as adjuvant therapy in patients with germline BRCA1/2, high-risk human epidermal growth factor receptor 2-negative early breast cancer after completing (neo)adjuvant chemotherapy ([N]ACT), surgery, and radiotherapy. The patient-reported outcome primary hypothesis was that OL-treated patients may experience greater fatigue during treatment. METHODS: Data were collected before random assignment, and at 6, 12, 18, and 24 months. The primary end point was fatigue, measured with the Functional Assessment of Chronic Illness Therapy-Fatigue scale. Secondary end points, assessed with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, Core 30 item, included nausea and vomiting (NV), diarrhea, and multiple functional domains. Scores were compared between treatment groups using mixed model for repeated measures. Two-sided P values

Published
2024

12. How to Apply Fujisaki-Okamoto Transformation to Registration-Based Encryption

Author

Chiku, Sohto, Hara, Keisuke, Hashimoto, Keitaro, Tomita, Toi, Shikata, Junji, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kohlweiss, Markulf, editor, Di Pietro, Roberto, editor, and Beresford, Alastair, editor

Published
2025
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14. Long-term outcomes of neoadjuvant trastuzumab emtansine + pertuzumab (T-DM1 + P) and docetaxel + carboplatin + trastuzumab + pertuzumab (TCbHP) for HER2-positive primary breast cancer: results of the randomized phase 2 JBCRG20 study (Neo-peaks)

Author

Takano, Toshimi, Masuda, Norikazu, Ito, Mitsuya, Inoue, Kenichi, Tanabe, Yuko, Kawaguchi, Kousuke, Yasojima, Hiroyuki, Bando, Hiroko, Nakamura, Rikiya, Yamanaka, Takashi, Ishida, Kazushige, Aruga, Tomoyuki, Yanagita, Yasuhiro, Tokunaga, Eriko, Aogi, Kenjiro, Ohno, Shinji, Kasai, Hiroi, Kataoka, Tatsuki R., Morita, Satoshi, and Toi, Masakazu

Published
2024
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17. Twenty-Four-Month Safety and Effectiveness of TCD-17187 Drug-Coated Balloon for Treatment of Atherosclerotic Lesions in Superficial Femoral and Proximal Popliteal Artery

Author

Soga, Yoshimitsu, Iida, Osamu, Seki, Shu-Ichi, Kawasaki, Daizo, Anzai, Hitoshi, Ando, Hiroshi, Nakama, Tatsuya, Shinozaki, Norihiko, Kozuki, Amane, Ishihara, Masaharu, Urasawa, Kazushi, Toi, Satoru, Tsujita, Hiroaki, Tobita, Kazuki, Ogata, Kenji, Horie, Kazunori, Hayakawa, Naoki, Mori, Shinsuke, Fujihara, Masahiko, Ohki, Takao, Yuba, Kenichiro, Mano, Toshiaki, Ando, Kenji, and Nakamura, Masato

Published
2024
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18. Sampling Hybrid Climate Simulation at Scale to Reliably Improve Machine Learning Parameterization

Author

Lin, Jerry, Yu, Sungduk, Peng, Liran, Beucler, Tom, Wong-Toi, Eliot, Hu, Zeyuan, Gentine, Pierre, Geleta, Margarita, and Pritchard, Mike

Subjects
Physics - Atmospheric and Oceanic Physics, Computer Science - Machine Learning
Abstract

Machine-learning (ML) parameterizations of subgrid processes (here of turbulence, convection, and radiation) may one day replace conventional parameterizations by emulating high-resolution physics without the cost of explicit simulation. However, their development has been stymied by uncertainty surrounding whether or not improved offline performance translates to improved online performance (i.e., when coupled to a large-scale general circulation model (GCM)). A key barrier has been the limited sampling of the online effects of the ML design decisions and tuning due to the complexity of performing large ensembles of hybrid physics-ML climate simulations. Our work examines the coupled behavior of full-physics ML parameterizations using large ensembles of hybrid simulations, totalling 2,970 in our case. With extensive sampling, we statistically confirm that lowering offline error lowers online error (given certain constraints). However, we also reveal that decisions decreasing online error, like removing dropout, can trade off against hybrid model stability and vice versa. Nevertheless, we are able to identify design decisions that yield unambiguous improvements to offline and online performance, namely incorporating memory and training on multiple climates. We also find that converting moisture input from specific to relative humidity enhances online stability and that using a Mean Absolute Error (MAE) loss breaks the aforementioned offline/online error relationship. By enabling rapid online experimentation at scale, we empirically answer previously unresolved questions regarding subgrid ML parameterization design., Comment: 16 pages, 4 figures

Published
2023

19. Understanding Pathologies of Deep Heteroskedastic Regression

Author

Wong-Toi, Eliot, Boyd, Alex, Fortuin, Vincent, and Mandt, Stephan

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Deep, overparameterized regression models are notorious for their tendency to overfit. This problem is exacerbated in heteroskedastic models, which predict both mean and residual noise for each data point. At one extreme, these models fit all training data perfectly, eliminating residual noise entirely; at the other, they overfit the residual noise while predicting a constant, uninformative mean. We observe a lack of middle ground, suggesting a phase transition dependent on model regularization strength. Empirical verification supports this conjecture by fitting numerous models with varying mean and variance regularization. To explain the transition, we develop a theoretical framework based on a statistical field theory, yielding qualitative agreement with experiments. As a practical consequence, our analysis simplifies hyperparameter tuning from a two-dimensional to a one-dimensional search, substantially reducing the computational burden. Experiments on diverse datasets, including UCI datasets and the large-scale ClimSim climate dataset, demonstrate significantly improved performance in various calibration tasks., Comment: 20 pages, 8 figures

Published
2023

20. Model for Academic Entrepreneurship in Biomedical Engineering Program for Vietnam

Author

Thi Tuyet Tu, Nga, Thanh Le Nguyen, An, Reinhard, Quy-Vo, Van Vo, Toi, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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21. Preparation of Trimethyl Chitosan Nanoparticles for Spike Proteins Delivery

Author

Tang, Minh-Dat Quoc, Tran, Hien Huu, Nguyen, Thu-Ha Thi, Trinh, Nhu-Thuy, Vo, Van Toi, Vong, Long Binh, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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22. Physico-Chemical Characterization of Animal Bone-Derived Hydroxyapatite Sintered at Different Temperatures

Author

Dang, Nhi Thao-Ngoc, Ngoc, Tram Anh-Nguyen, Vu, Thien-Ly, Phan, Diu-Anh, Van Vo, Toi, Nguyen, Thi-Hiep, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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23. Development of a Wireless Wearable Holter to Measure Blood Pressure and Heart Rate for Telemedicine

Author

Thi Thuy Le, Tien, Ngoc Tran, Viet, Khoi Pham, Nguyen, Quoc Nguyen, Hung, Thi Tuyet Tu, Nga, Van Vo, Toi, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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24. The Effect of Sintering Temperature on the Behavior of Hydroxyapatite from Different Natural Sources in Artificial Saliva

Author

Dang, Nhi Thao-Ngoc, Vu, Thien-Ly, Ngoc, Tram Anh-Nguyen, Nguyen, Thanh-Dat, Van Vo, Toi, Nguyen, Thi-Hiep, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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25. Cyber Telemedicine System Dedicated to Homecare Monitoring for Cardiovascular Diseases

Author

Khoi Pham, Nguyen, Thi Thuy Le, Tien, Ngoc Tran, Viet, Quoc Nguyen, Hung, Thi Tuyet Tu, Nga, Van Vo, Toi, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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26. A Precision, High Intensity and Programmable Current Power Supply for LED in Biomedical Applications

Author

Ngoc Tran, Viet, Thanh Nguyen, Qua, Thi Thuy Le, Tien, Khoi Pham, Nguyen, Van Vo, Toi, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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27. A Novel Device for Simultaneously Grinding Multiple Tissue Samples Without Cross-Contamination

Author

Quoc Nguyen, Hung, Nguyen Tran, Phong, Minh Do, Thai, Ngoc Tran, Viet, Nguyen Anh Tran, Toan, Van Vo, Toi, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Vo, Van Toi, editor, Nguyen, Thi-Hiep, editor, Vong, Binh Long, editor, Le, Ngoc Bich, editor, and Nguyen, Thanh Qua, editor

Published
2024
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28. Prostaglandin E2-EP2/EP4 signaling induces immunosuppression in human cancer by impairing bioenergetics and ribosome biogenesis in immune cells

Author

Punyawatthananukool, Siwakorn, Matsuura, Ryuma, Wongchang, Thamrong, Katsurada, Nao, Tsuruyama, Tatsuaki, Tajima, Masaki, Enomoto, Yutaka, Kitamura, Toshio, Kawashima, Masahiro, Toi, Masakazu, Yamanoi, Koji, Hamanishi, Junzo, Hisamori, Shigeo, Obama, Kazutaka, Charoensawan, Varodom, Thumkeo, Dean, and Narumiya, Shuh

Published
2024
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32. Trastuzumab deruxtecan for human epidermal growth factor receptor 2-low advanced or metastatic breast cancer: recommendations from the Japanese Breast Cancer Society Clinical Practice Guidelines

Author

Hattori, Masaya, Honma, Naoko, Nagai, Shigenori, Narui, Kazutaka, Shigechi, Tomoko, Ozaki, Yukinori, Yoshida, Masayuki, Sakatani, Takashi, Sasaki, Eiichi, Tanabe, Yuko, Tsurutani, Junji, Takano, Toshimi, Saji, Shigehira, Masuda, Shinobu, Horii, Rie, Tsuda, Hitoshi, Yamaguchi, Rin, Toyama, Tatsuya, Yamauchi, Chikako, Toi, Masakazu, and Yamamoto, Yutaka

Published
2024
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34. Time-series blood cytokine profiles correlate with treatment responses in triple-negative breast cancer patients

Author

Saldajeno, Don Pietro, Kawaoka, Shinpei, Masuda, Norikazu, Tanaka, Sunao, Bando, Hiroko, Nishimura, Tomomi, Kadoya, Takayuki, Yamanaka, Takashi, Imoto, Shigeru, Velaga, Ravindranath M., Tamura, Nobuko, Aruga, Tomoyuki, Ikeda, Kazushi, Fukui, Yukiko, Maeshima, Yurina, Takada, Masahiro, Suzuki, Eiji, Ueno, Takayuki, Ogawa, Seishi, Haga, Hironori, Ohno, Shinji, Morita, Satoshi, Kawaguchi, Kosuke, and Toi, Masakazu

Published
2024
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36. Comparison of cisplatin-based versus standard preoperative chemotherapy in patients with operable triple-negative breast cancer: propensity score matching and inverse probability of treatment weighting analysis

Author

Yamaguchi, Ayane, Kawaguchi, Kosuke, Kawanishi, Kana, Maeshima, Yurina, Nakakura, Akiyoshi, Kataoka, Tatsuki R., Takahara, Sachiko, Nakagawa, Shunsaku, Yonezawa, Atsushi, Takada, Masahiro, Kawashima, Masahiro, Kawaguchi-Sakita, Nobuko, Kotake, Takeshi, Suzuki, Eiji, Shimizu, Hanako, Torii, Masae, Morita, Satoshi, Ishiguro, Hiroshi, and Toi, Masakazu

Published
2024
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39. LITERACIA EM SAÚDE: AVALIAÇÃO DA EFETIVIDADE DE “FERRAMENTA” DE COMUNICAÇÃO “MENSAGEM PARA LEVAR PARA CASA” APLICADA AOS PACIENTES DO AMBULATÓRIO DE UROLOGIA DE UM SERVIÇO PÚBLICO

Author

Toi, Claudio Hideki, primary, Toi, Bruno Yugi Fernandes, additional, Pinto, Clóvis Antonio Lopes, additional, Ribeiro, Rafaela Magalhães Rodrigues, additional, Salemme, Mateus Nobile, additional, Trajano, Lucas Iago de Souza, additional, Teixeira, Vinicius Maciel, additional, and Fernandes, Luciano Scher, additional

Published
2024
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46. Lattice-Based Multi-entity Identification Protocols

Author

Watanabe, Yohei, Tomita, Toi, Shikata, Junji, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, You, Ilsun, editor, Choraś, Michał, editor, Shin, Seonghan, editor, Kim, Hwankuk, editor, and Astillo, Philip Virgil, editor

Published
2024
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48. Efficient Identity-Based Encryption with Tight Adaptive Anonymity from RLWE

Author

Tomita, Toi, Shikata, Junji, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Saarinen, Markku-Juhani, editor, and Smith-Tone, Daniel, editor

Published
2024
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49. Are Dark Patterns Self-destructive for Service Providers?: Revealing Their Impacts on Usability and User Satisfaction

Author

Kojima, Toi, Aiba, Tomoya, Maeda, Soshi, Arai, Hiromi, Nishigaki, Masakatsu, Ohki, Tetsushi, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Nah, Fiona Fui-Hoon, editor, and Siau, Keng Leng, editor

Published
2024
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