The NDLI acts as a single-window platform of e-learning by disseminating educational resources contributed by the existing digital repositories and educational institutes of India. The current study has been conducted to know the awareness and usage of the NDLI among the teachers and scholars of ...
The National Digital Library of India (NDLI) is envisioned as a national educational asset to enable 24x7 learning for learners of all ages and disciplines... DK Sanyal,S Banetjee,G Agarwal,... - IEEE India Council International Conference 被引量: 0发表: 2019年 National Digital Library of...
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modernization of the cataloguing systemoftheNational Libraryandten other libraries in Iraq, as well as staff; and [...] unesdoc.unesco.org unesdoc.unesco.org [...] 部分:博物馆和文化机构:包括修复这类机构的设施、 提供设备和进行工作人员培训;第 4 部分:图书馆和档案馆,主要目的是使国家图书馆和伊...
countries: in India (support for and cooperation withtheNational Institute ofEducational Planning and Administration (NIEPA)), in Mexico [...] unesdoc.unesco.org unesdoc.unesco.org 国际教育规划研究所尤其在 9 个 人口众多的国家中的八个国家制定了一项加强体制能力的战略:在印度(支持了国家教育规划和行政...
Untangling the web between digital citizen empowerment, accountability and quality of participation experience for e-government: Lessons from India 2024, Government Information Quarterly Citation Excerpt : Digital democracy is grounded in an information-rich society, an empowered citizenry, and government ins...
Countries of lower income classifications largely constitute the ‘efficient frontier’ – 13 out of 18 are LICs (Bangladesh, Benin, Ethiopia, Ghana, Madagascar, Malawi, Rwanda) or LMCs (China, Congo, Egypt, Indonesia, Morocco, Nigeria) – with the remaining ‘efficient’ countries being of ...
The International Code of Marketing of Breast-milk Substitutes, or ‘the Code,’ sets standards to regulate marketing of commercial milk formula (CMF) to protect breastfeeding. World Health Organization member states are advised to legislate the Code int
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mapped forest types using Landsat Thematic Mapper data and a digital elevation model (DEM) layer to account for variable illumination effects, with a 73% overall accuracy [24]. Machine learning type classifiers may require larger amounts of training data [25], but higher mapping accuracy can ...