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Smart drug delivery refers to a targeted drug delivery or precision drug delivery system that allows drugs to be administered to a specific location in the body or at a specific time with enhanced precision and control. This approach has several advantages, including maximizing the therapeutic effects of a drug while minimizing side effects. This book presents various stimuli-responsive micro- and nanomaterials for pharmaceutical industries. This volume: Covers the global market perspective of micro- and nano-smart materials in pharmaceutical industries. Details various processing routes. Discusses mechanisms for target release. Addresses applications in oral drug delivery, anticancer agents, anti-tumor drug delivery, and drugs for management of infection. This reference work is written to support researchers in the fields of materials engineering and biotechnology with the goal of improving the diagnosis and treatment of disease and patient quality of life.
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an informa...
This proceedings constitutes the refereed proceedings of the 8th International Conference on IoT Technologies for Healthcare, HealthyIoT 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented were carefully selected from 40 submissions. The papers are organized in topical sections on security and privacy - software and application security; human-centered computing - ubiquitous and mobile computing; information systems – information retrieval; applied computing - physical sciences and engineering; applied computing – life and medical sciences.
These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference i...
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models an...
The two volume set LNCS 9043 and 9044 constitutes the refereed proceedings of the Third International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, held in Granada, Spain, in April 2015. The 135 papers presented were carefully reviewed and selected from 268 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases, biomedical engineering, biomedical image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological processes, e Health, next generation sequencing and sequence analysis, quantitative and systems pharmacology, Hidden Markov Model (HMM) for biological sequence modeling, advances in computational intelligence for bioinformatics and biomedicine, tools for next generation sequencing data analysis, dynamics networks in system medicine, interdisciplinary puzzles of measurements in biological systems, biological networks, high performance computing in bioinformatics, computational biology and computational chemistry, advances in drug discovery and ambient intelligence for bio emotional computing.
This edited volume comprises a compilation of autoethnographic evocations from U.S. doctoral students in the fields of social sciences and humanities, who narrate and analyze their experiences in the doctoral journey and beyond. Through 11 select contributions, the book examines the intersections and shifting roles of the personal and the community in the doctoral student journey, illustrating the complex and unique nature of pursuing a doctoral degree. Part 1, Curating the Self, includes five autoethnographic accounts that speak directly to the personal challenges and transformations experienced in the doctoral journey. Part 2, Embracing the Community, includes six autoethnographic accounts illustrating supportive communities’ life-changing power during the doctoral journey. Contributors are: Gabriel T. Acevedo Velázquez, Ahmad A. Alharthi, Afiya Armstrong, Nick Bardo, Caitlin Beare, Rebecca Borowski, Anya Ezhevskaya, Christopher Fornaro, Melinda Harrison, Linda Helmick, Joanelle Morales, Olya Perevalova, Alexis Saba, Kimberly Sterin, Katrina Struloeff, Rebecca L. Thacker, Lisa D. Wood, Erin H. York, Christel Young and Nara Yun.
This book presents the state of the art in color science and explains its application to dental structures and materials, using high-quality illustrations to ensure ease of learning. Most people seek a bright smile with a natural appearance. This goal often poses a great clinical challenge for the dentist, and its achievement is dependent on a good knowledge of color science and optical properties relevant to dentistry. Further, if a smile is to be esthetically improved to the patient’s satisfaction, the dentist must be able to extract the best from dental materials and techniques, must understand all aspects of facial harmony, and must communicate effectively with both the patient and lab technicians. All of these aspects are thoroughly explored in the book, with detailed coverage of such topics as visual and instrumental shade matching, color management, and avoidance of complications and pitfalls. Color and Appearance in Dentistry will be of high value to all who are engaged in the daily practice of esthetic dentistry.