136 research outputs found
Sustainable nanomaterials for precision medicine in cancer therapy
No full textBigham, Ashkan/0000-0001-7442-3549; Iravani, Siavash/0000-0003-3985-7928Sustainable nanomaterials have attracted much attention in the last decades in different applications mainly to minimize harm to environment by using renewable resources. One of those areas is precision medicine for cancer therapy, offering tailored solutions for targeted drug delivery, cancer immunotherapy, imaging/biosensing, and therapy monitoring. Recent trends in bio- and nanomedicine have focused on developing biocompatible and biodegradable multifunctional nanocarriers that enhance drug delivery efficiency while minimize systemic toxicity. Fabricating sustainable nanomaterials with smart functionalities, such as stimuli-responsive behavior and targeted drug release mechanisms, holds great potential for improving the efficacy of therapy with more desirable outcomes. However, challenges persist in ensuring the biosafety, targeting efficiency, and specificity of these nanomaterials; also, clinical translation studies, optimizing scalability, and cost-effectiveness in production processes need to be addressed. The primary purpose of this review is to examine the recent advancements in sustainable nanomaterials for precision medicine in targeted cancer therapy via summarizing the progress made in this field. In addition, we mentioned about the crucial challenges related to these innovative solutions, such as ensuring the safety and sustainability of nanomaterials. Moreover, by exploring the future perspectives of this technology, we hope to provide insights into the direction of developments in sustainable nanomaterials for precision medicine, particularly in the context of targeted cancer therapy.Science Citation Index Expande
3D and 4D printing of MXene-based composites: from fundamentals to emerging applications
No full textZarrabi, Ali/0000-0003-0391-1769; Khosravi, Arezoo/0009-0006-6654-4133; Bigham, Ashkan/0000-0001-7442-3549; Iravani, Siavash/0000-0003-3985-7928The advent of three-dimensional (3D) and four-dimensional (4D) printing technologies has significantly improved the fabrication of advanced materials, with MXene-based composites emerging as a particularly promising class due to their exceptional electrical, mechanical, and chemical properties. This review explores the fundamentals of MXenes and their composites, examining their unique characteristics and the underlying principles of their synthesis and processing. We highlight the transformative potential of 3D and 4D printing techniques in tailoring MXene-based materials for a wide array of applications. In the field of tissue regeneration, MXene composites offer enhanced biocompatibility and mechanical strength, making them ideal for scaffolds and implants. For drug delivery, the high surface area and tunable surface chemistry of MXenes enable precise control over drug release profiles. In energy storage, MXene-based electrodes exhibit superior conductivity and capacity, paving the way for next-generation batteries and supercapacitors. Additionally, the sensitivity and selectivity of MXene composites make them excellent candidates for various (bio)sensing applications, from environmental monitoring to biomedical diagnostics. By integrating the dynamic capabilities of 4D printing, which introduces time-dependent shape transformations, MXene-based composites can further adapt to complex and evolving functional requirements. This review provides a comprehensive overview of the current state of research, identifies key challenges, and discusses future directions for the development and application of 3D and 4D printed MXene-based composites. Through this exploration, we aim to underscore the significant impact of these advanced materials and technologies on diverse scientific and industrial fields. This review highlights the developments in the 3D/4D printing of MXene-based composites, focusing on their application in tissue regeneration, drug delivery, sensing, and energy storage.Science Citation Index Expande
Operation Ajax : Studie om USA:s och Storbritanniens involvering i statskuppen, Iran 1953
No full textUniversity of Växjö, School of Social Sciences Course: PO 5363, Political Science, G3 Title: the Role of the USA’s and Great Britain in the Coup d'Etat, Iran 1953 Author: Ashkan Panahirad Supervisor: Lennart Bergfeldt The purpose of this study is to examine Great Britain’s and US’ motives and action alternatives in regards to the Coup d'état against the iranian regime under Mossadegh in 1953. The method used is motive analysis (investigates the actors motives). The theories used are Rational actors model and Governmental politics. Rational actor model allows states to choose among a set of alternatives displayed in a particular situation in order to achieve their goals. Governmental politics explains what happens in states as a result of bargaining games between important actors in the government. Analysis from the rational actor model shows that the motives behind the Coup d'état were oil, economical reasons, Iran and communism. Coup d'état was the most rational action for them to achieve their goals. Governmental politics reveal the shifting of policies from one administration to another. While Clement Attlee’s government and Harry Truman’s administration where more moderate, Winston Churchill’s and Eisenhower’s where more eager to replace Mossadegh, which finally lead to a Coup d'éta
Operation Ajax : Studie om USA:s och Storbritanniens involvering i statskuppen, Iran 1953
No full textUniversity of Växjö, School of Social Sciences Course: PO 5363, Political Science, G3 Title: the Role of the USA’s and Great Britain in the Coup d'Etat, Iran 1953 Author: Ashkan Panahirad Supervisor: Lennart Bergfeldt The purpose of this study is to examine Great Britain’s and US’ motives and action alternatives in regards to the Coup d'état against the iranian regime under Mossadegh in 1953. The method used is motive analysis (investigates the actors motives). The theories used are Rational actors model and Governmental politics. Rational actor model allows states to choose among a set of alternatives displayed in a particular situation in order to achieve their goals. Governmental politics explains what happens in states as a result of bargaining games between important actors in the government. Analysis from the rational actor model shows that the motives behind the Coup d'état were oil, economical reasons, Iran and communism. Coup d'état was the most rational action for them to achieve their goals. Governmental politics reveal the shifting of policies from one administration to another. While Clement Attlee’s government and Harry Truman’s administration where more moderate, Winston Churchill’s and Eisenhower’s where more eager to replace Mossadegh, which finally lead to a Coup d'éta
Regression results for average number of articles per author model.
No full text<p>Regression results for average number of articles per author model.</p
Consistency between descriptors, author-supported keywords and tags in the ERIC and Mendeley databases
No full textThe purpose of this study was to identify the language consistency between indexers, authors and taggers in the ERIC and Mendeley databases. This survey was conducted using content analysis methods and techniques to evaluate the language consistency between indexers, authors and taggers in the ERIC and Mendeley databases and also to determine common keywords. The sample for this study was comprised of top twenty journals in the field of Educational Research based on the Journal Citation Reports (JCR) of Web of Science, indexed in the ERIC database in 2014. Finally 499 articles published in the above-mentioned journals in 2014 were chosen as the sample base for the dataset. Note that only articles with author-supported keywords, indexed in the ERIC database and also tagged in the Mendeley database from January 2014 to August 2016 were eligible to be assessed. Descriptors assigned to the articles on the ERIC database and tags associated to the articles on the Mendeley database for the period from January 2014 to August 2016 were extracted. Also author-assigned keywords assigned to all 499 articles were collected. Finally we created a software based on object-oriented programming (OOP) in C++ to analyze the search results. Descriptive statistics and measures, and thesaural term comparison show that there are important differences in the context of keywords from the three groups.
This study demonstrated that there were differences between the tagger, author and professional indexer views of the words used as tags, descriptors, or author-assigned keywords. The results showed that the consistency between the author-supported keywords and user tags of the 499 articles in the Mendeley was 15 percent; while the consistency between descriptors designated to the articles in the ERIC database and user tags associated to the articles on the Mendeley were three percent. On the other hand, the consistency between descriptors assigned to the articles in the ERIC database and the author-assigned keywords were 4 percent. Finally, the language consistency between the three above-mentioned groups was 1.1 percent. Also note that the presence of descriptors in the ERIC thesaurus was 34 percent, which were more than the author-supported keywords and tags.
The findings showed that the consistency between the keywords used by authors and taggers were more than the keywords chosen by indexers and authors, and by indexers and taggers. This means that three sides of the information representation triangle, i.e., indexer, author and tagger are unfamiliar with each other’s language. It is worth noting that tags are useful supplements to controlled vocabularies, since the former provide a means for social organization of knowledge outside the framework of the latter. The low consistency between tags and descriptors in this research indicates that Mendeley users do not use the same terminology as subject specialists who maintain descriptors in the ERIC thesaurus. Further research involving semantic analysis of Mendeley tags may reveal an emerging vocabulary suitable for inclusion in the ERIC thesaurus as a controlled vocabulary
Synthesis of nanoporous Baghdadite by a modified sol-gel method and its structural and controlled release properties
No full textEffects of strontium adding on the drug delivery behavior of silica nanoparticles synthesized by P123-assisted sol-gel method
No full textThe Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research
No full textBackground: Investigating low-prevalence diseases such as multiple sclerosis is challenging because of the rather small number of individuals affected by this disease and the scattering of real-world data across numerous data sources. These obstacles impair data integration, standardization, and analysis, which negatively impact the generation of significant meaningful clinical evidence.Objective: This study aims to present a comprehensive, research question-agnostic, multistakeholder-driven end-to-end data analysis pipeline that accommodates 3 prevalent data-sharing streams: individual data sharing, core data set sharing, and federated model sharing.Methods: A demand-driven methodology is employed for standardization, followed by 3 streams of data acquisition, a data quality enhancement process, a data integration procedure, and a concluding analysis stage to fulfill real-world data-sharing requirements. This pipeline's effectiveness was demonstrated through its successful implementation in the COVID-19 and multiple sclerosis global data sharing initiative.Results: The global data sharing initiative yielded multiple scientific publications and provided extensive worldwide guidance for the community with multiple sclerosis. The pipeline facilitated gathering pertinent data from various sources, accommodating distinct sharing streams and assimilating them into a unified data set for subsequent statistical analysis or secure data examination. This pipeline contributed to the assembly of the largest data set of people with multiple sclerosis infected with COVID-19.Conclusions: The proposed data analysis pipeline exemplifies the potential of global stakeholder collaboration and underlines the significance of evidence-based decision-making. It serves as a paradigm for how data sharing initiatives can propel advancements in health care, emphasizing its adaptability and capacity to address diverse research inquiries.The author(s) have disclosed that they received financial support for the research, authorship, or publication of this paper from the following sources: the operational costs associated with this study were funded by the Multiple Sclerosis International Federation and the Multiple Sclerosis Data Alliance (MSDA) operating under the European Charcot Foundation. The MSDA is a global not-for-profit multistakeholder collaboration acting under the umbrella of the European Charcot Foundation, financially supported by a combination of industry partners, including Novartis, Merck, Biogen, Janssen, Bristol-Myers Squibb, and Roche. Additionally, this work was supported by the Flemish government through the Onderzoeksprogramma Artificiële Intelligentie Vlaanderen program and the Research Foundation Flanders for ELIXIR Belgium. QMENTA provided the central platform, while Amazon supplied the computational resources utilized in this work. The statistical analysis was conducted at the Clinical Outcomes Research Unit, The University of Melbourne, with support from National Health and Medical Research Council (1129189 and 1140766). The authors wish to extend their sincere appreciation to Nikola Lazovski for his invaluable guidance and collaboration throughout the global data sharing initiative project, especially concerning the central platform. They are also profoundly grateful to Dr Ilse Vermeulen for her unwavering support and encouragement throughout the various stages of drafting and conceptualizing the manuscript
Evaluation and Comparison of Scheduling Strategies for the Scheduling of Electric Vehicles at Capacity-Constrained Charging Stations
No full textAs the popularity of electric vehicles (EVs) increases, congestion at charging becomes a more imminent problem. Congestion at a charging station can lead to long waiting queues and failure of EV owners to charge their vehicles fully before their departure from the station. To combat this issue, this paper explores several candidate scheduling strategies that can be applied for the charging prioritization of EVs at a single station. Through extensive simulations, the efficacy of these strategies is studied under three performance metrics. From the set of strategies studied, we find that earliest deadline first (EDF) and shortest job first (SJF) are the best options in the case that adherence to deadline or a shorter waiting time is most valued, respectively.CSE3000 Research ProjectComputer Science and Engineerin
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