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"Technology transfer India."
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Intellectual property, technology transfer and manufacture of low-cost HPV vaccines in India
by
Amin, Tahir
,
Sampat, Bhaven
,
Padmanabhan, Swathi
in
631/154/2426/1984
,
631/61/24/590
,
706/134
2010
An empirical study of the impact of patenting and licensing on regional manufacturing of human papilloma virus vaccines to help improve vaccine affordability and access.
Journal Article
Indian Skilled Migration and Development
2014
This edited contribution explores strategies and measures for leveraging the potential of skilled diasporas and for advancing knowledge-based evidence on return skilled migration and its impact on development. By taking the example of Indian skilled migration, this study identifies ways of involving returned skilled migrants in home country development as well as proposes approaches to engage the diaspora in development. As high-skill immigration from India to mainland Europe is a rather recent phenomenon, the activities of Indian professionals in Europe are under-researched. The findings have wider application in contributing to the policy dialogue on migration and development, specifically to the advantage for developing and emerging economies. The book employs an interdisciplinary, two-fold approach: The first part of the research looks at how international exposure affects the current situation of skilled returnees in India. The second, European, part of the research examines migration policies, labour market regulations and other institutional settings that enable or hinder skilled Indians' links with the country of origin. Structural differences between the host countries may facilitate different levels of learning opportunities; thus, this book identifies good practices to promote the involvement of Indian skilled diaspora in socio-economic development. In applying the framework of diaspora contributions as well as the return channel to study the impact on India, the book draws on qualitative and quantitative research methods consisting of policy analysis, in-depth interviews with key experts and skilled migrants and on data sets collected specifically for this study.
Patent pledge to Indian universities
2008
Between 1990 and 2002, Indian universities accounted for only 3% of patents filed by Indian organizations in the Indian patent office, and 1% of Indian patents filed in the US patent office, according to the New Delhi-based National Institute of Science, Technology and Development Studies. Amit Mitra, the FICCI's secretary general, argues that the Bayh-Dole Act helped US universities earn revenue from key discoveries, such as the anti-AIDS drug stavudine at Yale University and recombinant-DNA technology at the University of California and Stanford University.
Journal Article
The Diffusion of Microfinance
by
Duflo, Esther
,
Jackson, Matthew O.
,
Banerjee, Abhijit
in
Adolescent
,
Adult
,
Communication (Thought Transfer)
2013
Much of the recent work on how individuals in social networks behave has relied upon the established Susceptible, Infectious, Recovered model developed in epidemiology. Information, however, differs from disease in one respect, namely that an individual might acquire information and yet not use it (or become “infected” by it). Banerjee et al. ( 1236498 ) examined the spread of information about microfinance and its adoption in 43 villages in Karnataka, a state in southern India. Adopters of microfinance were more likely to pass information about it on, and a new measure—diffusion centrality—of the first person to learn new information predicted how widely and quickly others would be likely to make use of it. The first person in a village to learn about microfinance influences how widely the information spreads. To study the impact of the choice of injection points in the diffusion of a new product in a society, we developed a model of word-of-mouth diffusion and then applied it to data on social networks and participation in a newly available microfinance loan program in 43 Indian villages. Our model allows us to distinguish information passing among neighbors from direct influence of neighbors’ participation decisions, as well as information passing by participants versus nonparticipants. The model estimates suggest that participants are seven times as likely to pass information compared to informed nonparticipants, but information passed by nonparticipants still accounts for roughly one-third of eventual participation. An informed household is not more likely to participate if its informed friends participate. We then propose two new measures of how effective a given household would be as an injection point. We show that the centrality of the injection points according to these measures constitutes a strong and significant predictor of eventual village-level participation.
Journal Article
South Africa and India push for COVID-19 patents ban
[...]if you want to establish a biological production line, you need a lot of additional information, expertise, processes, and biological samples, cell lines, or bacteria” to be able to document to regulatory agencies that you have an identical product. AstraZeneca's vaccine manufacturing agreements with Indian and Brazilian companies lack transparency about costs, and Pfizer and BioNTech, whose vaccine candidate has shown promising results, have shown no sign of licensing or technology transfer of their patented products, she says. [...]because of a massive funding gap, even these targets are far from being reached. [...]very strangely, these are the same countries who are arguing against the need for the waiver that can help increase the global manufacturing and supply to achieve not just equitable, but also timely and affordable access to such vaccines for all countries.” de Gama says ACT-A fails to address the supply constraints and gives no guarantee of the universal access that is required.
Journal Article
Scientists’ warning to humanity on the freshwater biodiversity crisis
by
Winemiller, Kirk O.
,
Ripple, William J.
,
Duke-Sylvester, Scott M.
in
Agricultural land
,
Agricultural management
,
Agricultural production
2021
Freshwater ecosystems provide irreplaceable services for both nature and society. The quality and quantity of freshwater affect biogeochemical processes and ecological dynamics that determine biodiversity, ecosystem productivity, and human health and welfare at local, regional and global scales. Freshwater ecosystems and their associated riparian habitats are amongst the most biologically diverse on Earth, and have inestimable economic, health, cultural, scientific and educational values. Yet human impacts to lakes, rivers, streams, wetlands and groundwater are dramatically reducing biodiversity and robbing critical natural resources and services from current and future generations. Freshwater biodiversity is declining rapidly on every continent and in every major river basin on Earth, and this degradation is occurring more rapidly than in terrestrial ecosystems. Currently, about one third of all global freshwater discharges pass through human agricultural, industrial or urban infrastructure. About one fifth of the Earth’s arable land is now already equipped for irrigation, including all the most productive lands, and this proportion is projected to surpass one third by midcentury to feed the rapidly expanding populations of humans and commensal species, especially poultry and ruminant livestock. Less than one fifth of the world’s preindustrial freshwater wetlands remain, and this proportion is projected to decline to under one tenth by midcentury, with imminent threats from water transfer megaprojects in Brazil and India, and coastal wetland drainage megaprojects in China. The Living Planet Index for freshwater vertebrate populations has declined to just one third that of 1970, and is projected to sink below one fifth by midcentury. A linear model of global economic expansion yields the chilling prediction that human utilization of critical freshwater resources will approach one half of the Earth’s total capacity by midcentury. Although the magnitude and growth of the human freshwater footprint are greater than is generally understood by policy makers, the news media, or the general public, slowing and reversing dramatic losses of freshwater species and ecosystems is still possible. We recommend a set of urgent policy actions that promote clean water, conserve watershed services, and restore freshwater ecosystems and their vital services. Effective management of freshwater resources and ecosystems must be ranked amongst humanity’s highest priorities.
Journal Article
Cooking performance assessment of a phase change material integrated hot box cooker
by
Pandey, S. D.
,
Saxena, Abhishek
,
Kumar, Avnish
in
Aquatic Pollution
,
Atmospheric Protection/Air Quality Control/Air Pollution
,
Charge materials
2024
Previous research on solar box cookers focusing on the bulk usage of energy storage materials is a costly technique for performance enhancement. Bulk energy storage materials take much time to charge and, thus, result in a low rate of cooking at the start. Therefore, a hot box solar cooker has been developed and experimentally studied for thermal performance enhancement in a hilly region of Uttarakhand, India. A bed of phase change material (paraffin wax) filled with small capsule-shaped containers was prepared (detachable) and placed over the cooking tray of the tested cooker. These containers were vertically positioned over the bed to enhance the heat transfer rate inside the cooker to attain a fast-cooking response. Notably, the combined effect of extended geometry with PCM is an excellent method to increase the efficiency of a solar cooker. As per the author’s knowledge, likely techniques have not been studied for a box cooker to achieve a fast-cooking rate in any hilly region up to date. The results of cooking tests show that the cooking plate attained a maximum temperature of about 150 °C. It is because of the combined effect of extended fins (vertical capsules) and PCM filled inside them. The results of the experimental study show that the thermal efficiency of the cooker was found to be about 45.7%, the cooking power was calculated about 54.71 W, the heat transfer coefficient was estimated about 311 W/m
2
°C, and the overall heat loss coefficient was computed about 5.71 W/m
2
°C. This modified cooker costs about $48.19, and the payback period is about 03 years and 11 months. Cooking trials also showed that the present SBC could cook almost all the dishes commonly cooked in Uttarakhand.
Journal Article
Birth of India’s first cloned cattle and analysis of its health and reproduction status: A case study
by
Selokar, Naresh L.
,
Patel, Kartikey
,
Singh, Manoj K.
in
631/136/1455
,
631/136/2086
,
631/136/2435
2025
Somatic cell nuclear transfer (SCNT) allows the multiplication of elite livestock and conservation of endangered species. However, restrictions on cow slaughter limit the access to oocytes for SCNT applications in Indian cattle breeds. To overcome this limitation, we utilized transvaginal ovum pick-up (OPU) method to collect oocytes, which were then used for the production of cloned embryos via the handmade cloning (HMC) technique. A total of 98 Sahiwal oocytes were collected, leading to the successful reconstruction of 24 SCNT Gir embryos. Out of these, five developed into blastocysts, which were transferred into five recipient cows. Two pregnancies were confirmed, but one was lost due to hydro-allantois condition. The other pregnancy continued to term, and a healthy Gir female calf weighing 32 kg was born. Microsatellite DNA analysis confirmed the genetic identity of the cloned calf to its donor. Postnatally, the calf was monitored for serum cytokine parameters, telomere length, and reproductive potentials. Cytokine profiling revealed variations between the cloned calf and naturally conceived counterparts; however, the born cloned calf did not exhibit any pathological conditions and has high telomere length compared to age-matched counterparts, and surviving well. Furthermore, to assess cloned cow utility in reproductive biotechnologies, we produced blastocyst stage embryos (35%) through OPU-IVF method and established one pregnancy from five transfers (20%). In conclusion, this study reports the first successful SCNT of Indian cattle breed and demonstrates the feasibility of the cloned cow for the production of OPU-IVF embryos.
Journal Article
AI-powered banana diseases and pest detection
by
Safari, Nancy
,
Vergara, Alejandro
,
Ruiz, Henry
in
Africa
,
Artificial intelligence
,
Artificial neural networks
2019
Background
Banana (
Musa
spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow to surveil and develop control measures with greater efficiency. As deep convolutional neural networks (DCNN) and transfer learning has been successfully applied in various fields, it has freshly moved in the domain of just-in-time crop disease detection. The aim of this research is to develop an AI-based banana disease and pest detection system using a DCNN to support banana farmers.
Results
Large datasets of expert pre-screened banana disease and pest symptom/damage images were collected from various hotspots in Africa and Southern India. To build a detection model, we retrained three different convolutional neural network (CNN) architectures using a transfer learning approach. A total of six different models were developed from 18 different classes (disease by plant parts) using images collected from different parts of the banana plant. Our studies revealed ResNet50 and InceptionV2 based models performed better compared to MobileNetV1. These architectures represent the state-of-the-art results of banana diseases and pest detection with an accuracy of more than 90% in most of the models tested. These experimental results were comparable with other state-of-the-art models found in the literature. With a future view to run these detection capabilities on a mobile device, we evaluated the performance of SSD (single shot detector) MobileNetV1. Performance and validation metrics were also computed to measure the accuracy of different models in automated disease detection methods.
Conclusion
Our results showed that the DCNN was a robust and easily deployable strategy for digital banana disease and pest detection. Using a pre-trained disease recognition model, we were able to perform deep transfer learning (DTL) to produce a network that can make accurate predictions. This significant high success rate makes the model a useful early disease and pest detection tool, and this research could be further extended to develop a fully automated mobile app to help millions of banana farmers in developing countries.
Journal Article