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In recent years, there has been a surge of interest in developing nanomedicine-based approaches for cancer treatment. This is largely due to the unique properties of nanoparticles, such as their small size and ability to target specific cells or tissues, which make them ideal candidates for delivering drugs or imaging agents to cancer cells. Furthermore, the development of nanomedicine-based cancer therapies has the potential to significantly improve treatment efficacy and reduce side effects compared to traditional chemotherapy or radiation However, there are still challenges that need to be overcome in the development of cancer nanomedicines, including issues related to toxicity, stability, scalability, and regulatory approval. Efforts are underway to address these challenges through rigorous testing and research, as well as collaboration between academia, industry, and regulatory agencies. Overall, the field of cancer nanomedicine holds great promise for advancing cancer treatment and improving patient outcomes. As research in the field continues, it is expected that new and innovative nanomedicine-based approaches will emerge, paving the way for more effective cancer
Stem Cell Research And Textbook 2( Dental-derived stem cells, Induced pluripotent stem cells, hematopoietic stem cells, Embryonic, and Cancer Stem cells) For medical students, medical doctors, and researchers.
This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.
This volume gathers researchers from around the world endeavouring to better understand a number of perennial issues in assessing Chinese learners of English, covering topics such as students' test performances, interactional competence and lexical knowledge, students' motivation, teachers' attitudes and assessment policy changes.
The teaching profession has a long history in motion pictures. As early as the late 19th century, films have portrayed educators of young children--including teachers, tutors, day care workers, nannies, governesses, and other related occupations--in a variety of roles within the cinematic classroom. This work provides a broad index of more than 800 films (both U.S. and foreign) which feature educators as primary characters. Organized alphabetically by title, each entry contains a short plot summary and many also include cast and crew details. A detailed subject index is also included.
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'NDiaye is a hypnotic storyteller with an unflinching understanding of the rock-bottom reality of most people's life.' New York Times ' One of France's most exciting prose stylists.' The Guardian. Obsessed by her encounters with the mysterious green women, and haunted by the Garonne River, a nameless narrator seeks them out in La Roele, Paris, Marseille, and Ouagadougou. Each encounter reveals different aspects of the women; real or imagined, dead or alive, seductive or suicidal, driving the narrator deeper into her obsession, in this unsettling exploration of identity, memory and paranoia. Self Portrait in Green is the multi-prize winning, Marie NDiaye's brilliant subversion of the memoir. Written in diary entries, with lyrical prose and dreamlike imagery, we start with and return to the river, which mirrors the narrative by posing more questions than it answers.
The year's releases in review, with necrologies and brief articles.