4,201 research outputs found
Recent advances in drug delivery technology/ Raj K. Keservani, Anil K. Sharma, and Rajesh Kumar Kesharwani [editors].
No full textIncludes bibliographical references and index."[This book] is a pivotal reference source for the latest scholarly research on the application of pharmaceutical technology to optimize techniques for drug delivery in patients"--Provided by publisher.Personalized approach in nanomedicine: understanding adverse effects and their risk assessment / Maria Vlasova, Boris V. Smirin -- Drug delivery strategies for tolerogenic therapy for autoimmune diseases in an antigen-specific manner / Kevin J. Peine [and 3 others] -- Cancer drug delivery: pharmacogenetics, biomarkers, and targeted therapies / Jai N. Patel, Jeryl Villadolid -- Genomics and proteomic approach in the treatment of various human diseases: applications of genomics and proteomics / Urmila Jarouliya, Raj K. Keservani -- Bioinformatics and its therapeutic applications / Sarvesh Kumar Gupta, Kamal Kumar Chaudhary, Nidhi Mishra -- An overview and therapeutic applications of nutraceutical and functional foods / Raj K. Keservani, Anil K. Sharma, Rajesh K. Kesharwani -- Phytoparmaceuticals and its applications in therapy / Alejandra Hernández-Ceruelos, Sergio Muñoz-Juarez, Patricia Vázquez-Alvarado -- A perspective on the phytopharmaceuticals responsible for the therapeutic applications / Rajesh K. Joshi -- Phytopharmaceutical applications of nutraceutical and functional foods / Dhan Prakash, Charu Gupta -- Cosmeceuticals: safety, efficacy and potential benefits / Long Chiau Ming [and 5 others] -- Cosmeceuticals: camel and other milk -- natural skin maintenance / Reuven Yagil -- Resealed erythrocytes as drug carriers and its therapeutic applications / Prabhakar Singh, Sudhakar Singh, Rajesh Kumar Kesharwani -- New herbal approaches for the treatment of diabetic kidney diseases and its therapeutic implications / Durgavati Yadav [and 3 others].1 online resource (509 pages)
sj-docx-1-joh-10.1177_27551938241230761 - Supplemental material for An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India
No full textSupplemental material, sj-docx-1-joh-10.1177_27551938241230761 for An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India by Aashima and Rajesh Sharma in International Journal of Social Determinants of Health and Health Services</p
Collaborative Solutions for an Aging Minnesota A Report to the Minnesota Board on Aging
Get PDFMurphy, James; Reger, Sheila; Sharma, Rajesh; Suomala, Adam. (2015). Collaborative Solutions for an Aging Minnesota A Report to the Minnesota Board on Aging. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/173966
Determinants and economic consequences of non-financial disclosure quality: an empirical evidence from Germany
No full textCorporate Social Responsibility (CSR) disclosure because of its voluntary nature allow managers with a significant flexibility in choosing reporting content and its style. Resultantly, there is considerable skepticism about the credibility and trustworthiness of information disclosed in CSR reports. Meanwhile this discretion is limited by the active monitoring role played by corporate governance mechanism, stakeholder involvement and regulatory implementation. Thus, considering the German context, this thesis investigates (i) the impact of external governance mechanism and implementation of Directive 2014/95/EU upon CSR disclosure quality (ii) market reaction to such disclosure. The CSR disclosure quality is measured through a composite score that is based on specific narrative features; length, verbal tone, numerical content and forward-looking content. Overall, the findings show a mixed impact of external governance mechanism whereas the implementation of directive tends to improve CSR disclosure quality. Similarly, market participants significantly respond to CSR disclosure with better quality
Understanding community patterns in large attributed social networks
No full textThere is an inherent presence of communities in online social networks. These communities can be defined based on i) link structure or ii) the attributes of individuals. Attributes can indicate as interests in specific topics, like science-fiction books or romantic movies, or more in general their explicit affiliation to a group inside the network. In this paper, we analyze community structures as defined by how people are associated to third concepts like attributes. To understand the community patterns we analyze three large and one small social network datasets. Our analysis shows that, irrespective of the number of nodes for any particular interest in the network, at least 50% of the nodes are part of the same connected component in the graph induced by each interest. Another interesting result of our analysis is that the majority of sub-communities (50% or above) for any interest are separated by small hops (two to three) from each other
Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?
Get PDFIn the last decade, Social Networks (SNs) have deeply changed many aspects of society, and one of the most widespread behaviours is the sharing of pictures. However, malicious users often exploit shared pictures to create fake profiles, leading to the growth of cybercrime. Thus, keeping in mind this scenario, authorship attribution and verification through image watermarking techniques are becoming more and more important. In this paper, we firstly investigate how thirteen of the most popular SNs treat uploaded pictures in order to identify a possible implementation of image watermarking techniques by respective SNs. Second, we test the robustness of several image watermarking algorithms on these thirteen SNs. Finally, we verify whether a method based on the Photo-Response Non-Uniformity (PRNU) technique, which is usually used in digital forensic or image forgery detection activities, can be successfully used as a watermarking approach for authorship attribution and verification of pictures on SNs. The proposed method is sufficiently robust, in spite of the fact that pictures are often downgraded during the process of uploading to the SNs. Moreover, in comparison to conventional watermarking methods the proposed method can successfully pass through different SNs, solving related problems such as profile linking and fake profile detection. The results of our analysis on a real dataset of 8400 pictures show that the proposed method is more effective than other watermarking techniques and can help to address serious questions about privacy and security on SNs. Moreover, the proposed method paves the way for the definition of multi-factor online authentication mechanisms based on robust digital features
Understanding cycling mobility: Bologna case study
No full textAbstract Understanding human mobility in touristic and historical cities is of the utmost importance for managing traffic and deploying new resources and services. In recent years, the need to enhance mobility has been exacerbated due to rapid urbanisation and climate changes. The main objective of this work is to study cycling mobility within the city of Bologna, Italy. We used six months dataset that consists of 320,118 self-reported bike trips. First, we performed several descriptive analysis to understand the temporal and spatial patterns of bike users for understanding popular roads and most favourite points within the city. The findings show how bike users present regular daily and weekly temporal patterns and the characteristics of their trips (i.e. distance, time and speed) follow well-known distribution laws. We also identified several points of interest in the city that are particularly attractive for cycling. Moreover, using several other public datasets, we found that bike usage is more correlated to temperature and precipitation and has no correlation to wind speed and pollution. We also exploited machine learning approaches for predicting short-term trips in the near future (that is for the following 10, 30, and 60 minutes), which could help local governmental agencies with urban planning. The best model achieved an R square of 0.91 for the 30-minute time interval, and a Mean Absolute Error of 2.52 and a Root Mean Squared Error of 3.88 for the 10-minute time interval
Investigating the types and effects of missing data in multilayer networks
No full textA common problem in social network analysis is the presence of missing data. This problem has been extensively investigated in single layer networks, that is, considering one network at a time. However, in multilayer networks, in which a holistic view of multiple networks is taken, the problem has not been specifically studied, and results for single layer networks are reused with no adaptation. In this work, we take an exhaustive and systematic approach to understand the effect of missing data in multilayer networks. Differently from the single layer networks, depending on layer interdependencies, the common network properties can increase or decrease with respect to the properties of the complete network. Another important aspect we observed through our experiments on real datasets is that multilayer network properties like layer correlation and relevance can be used to understand the impact of missing data compared to measuring traditional network measures
Cloud hosted business-data driven BI platforms
No full textBusiness Intelligence in Platform as a Service (PaaS) for information analysis is increasingly being considered for its applications in the enterprises because of its advantages. It is widely used for Data Analysis, Customer Churn Prediction, etc. However, the challenges that the traditional BI platform faces includes the tremendous volume of data, high time and space complexity of algorithms and the incompatibility in the Integration to the BI tools. Thus instead of having traditional Data Warehouses for storage which require high maintenance and storages, companies are moving towards more efficient cloud based storages
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