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| 1 | An updated overview on the development of new photosensitizers for anticancer photodynamic therapy显示文摘Photodynamic therapy(PDT), based on the photoactivation of photosensitizers(PSs), has become a well-studied therapy for cancer. Photofrin~?, belonging to the first generation of PS, is still widely used for the treatment of different kinds of cancers; however, it has several drawbacks that significantly limit its general clinical use. Consequently, there has been extensive research on the design of PS molecules with optimized pharmaceutical properties, with aiming of overcoming the disadvantages of traditional PS, such as poor chemical purity, long half-life, excessive accumulation into the skin, and low attenuation coefficients. The rational design of novel PS with desirable properties has attracted considerable research in the pharmaceutical field. This review presents an overview on the classical photosensitizers and the most significant recent advances in the development of PS with regard to their potential application in oncology. | Juan Zhang Chengshi Jiang Joao Paulo Figueiró Longo Ricardo Bentes Azevedo Hua Zhang Luis Alexandre Muehlmann | 2018 | Acta Pharmaceutica Sinica B2018,8,2: | 13 |
| 2 | Decline of measles antibody titres after immunization in human immunodeficiency virus-infected children显示文摘 | Muehlmann M | 1995 | Pedlar Infect Dis J1995,14,2: | 1 |
| 3 | Muhifrequency continuous-wave radar approach to ranging in passive UHF RFID 显示文摘 | Amitz D Witrisal K Muehlmann U | 2009 | IEEE Transactions on Microwave Theory and Techniques2009,57,5: | 1 |
| 4 | Non-invasive estimation of intracranial pressure:MR-based evaluation in children with hydro-cephalus显示文摘 | Muehlmann M Steffinger D Peraud A | | 0,,09: | 1 |
| 5 | Liposomal photosensitizers: potential platforms for antieancer photodynamic therapy 显示文摘 | MUEHLMANN LA JOANITTI GA SILVA JR | 2011 | Braz J Med Biol Res2011,44,8: | 1 |
| 6 | Calculating dense disparity maps from color stereo images,an efficient implementation显示文摘 | Muehlmann K Maier D Hesser J | 2002 | International Journal of Computer Vision2002,47,1: | 1 |
| 7 | The Costs and Benefits of Apprenticeship Training: Evidence from Swiss Firms显示文摘 | Muehlmann S | 2010 | Canadian Apprenticeship Journal2010,,1: | 1 |
| 8 | Return on Investment of Apprenticeship Systems for Enterprises: Evidence from Cost-benefit Analyses显示文摘 | Muehlmann S Wolter S C | 2014 | lZA Journal of Labor Policy2014,,3: | 1 |
| 9 | Elucidating the role of neurotensin in the pathophysiology and management of major mental disorders 显示文摘 | Boules MM Fredrickson P Muehlmann AM | 2014 | Behav Sci (Basel)2014,4,2: | 1 |
| 10 | TBSSvis:Visual analytics for Temporal Blind Source Separation显示文摘Temporal Blind Source Separation(TBSS)is used to obtain the true underlying processes from noisy temporal multivariate data,such as electrocardiograms.TBSS has similarities to Principal Component Analysis(PCA)as it separates the input data into univariate components and is applicable to suitable datasets from various domains,such as medicine,finance,or civil engineering.Despite TBSS’s broad applicability,the involved tasks are not well supported in current tools,which offer only text-based interactions and single static images.Analysts are limited in analyzing and comparing obtained results,which consist of diverse data such as matrices and sets of time series.Additionally,parameter settings have a big impact on separation performance,but as a consequence of improper tooling,analysts currently do not consider the whole parameter space.We propose to solve these problems by applying visual analytics(VA)principles.Our primary contribution is a design study for TBSS,which so far has not been explored by the visualization community.We developed a task abstraction and visualization design in a user-centered design process.Task-specific assembling of well-established visualization techniques and algorithms to gain insights in the TBSS processes is our secondary contribution.We present TBSSvis,an interactive web-based VA prototype,which we evaluated extensively in two interviews with five TBSS experts.Feedback and observations from these interviews show that TBSSvis supports the actual workflow and combination of interactive visualizations that facilitate the tasks involved in analyzing TBSS results. | Nikolaus Piccolotto Markus Bögl Theresia Gschwandtner Christoph Muehlmann Klaus Nordhausen Peter Filzmoser Silvia Miksch | 2022 | Visual Informatics2022,6,4: | 0 |