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The US-India Interactions to Russia-Ukraine War
Badar Alam Iqbal,Mohd. Nayyer Rahman 이준국제법연구원 2023 Journal of East Asia and International Law Vol.16 No.2
Since Russia-Ukraine war, India and the United States has enhanced their cooperation as evidenced by the recent engagements. Multiple meetings by officials and leaders including two Quad and 2+2 dialogue summits, have provided a clear stance on each country’s perspective on the recent conflict. The US-India dispute regarding Russia-Ukraine war demonstrates that it is a stress test for the US-India ties, as well as a test of the US leadership in the global politics. The balancing act required to settle the differences between the two countries will have implications for the Indo-Pacific region as well as global security, even though the disagreements are not yet mutually incompatible. Strengthening ties with the US is now a tightrope walk for India. While there are differences between the two countries in Ukraine, the real challenge is turning these differences into opportunities. The paper deals with the different issues arising from the Russia and Ukraine conflict in the context of US-India interface.
BRICS and India in the Light of Russia-Ukraine Crisis: Emerging Challenges and Opportunities
Badar Alam Iqbal,Mohd. Nayyer Rahman 이준국제법연구원 2023 Journal of East Asia and International Law Vol.16 No.1
There is no doubt that the BRICS countries established in 2000-01, have already made their mark on the international stage. Increasing relations among BRICS countries with less developed nations through south-south cooperation, especially, China, India, and Russia and with least developed countries are of significant importance. BRICS has been the forerunner of cooperation, collaboration and reformation of the present international governance structure and to move towards multilateralism. Over the years, BRICS has become a platform of, and for the developing countries. The ongoing conflict between Russia and Ukraine has created divisions in the world, impacting diplomatic relations that BRICS needs to address. The fact that Russia is the member of BRICS makes things complicated and new challenges has emerged for the bloc to take necessary actions and policy considerations. The article examines the challenges and opportunities for BRICS (as a bloc) amid Russia-Ukraine conflict in a post pandemic world.
India’s Position and Key Strategies during the 15th BRICS Summit
Badar Alam Iqbal,Mohd Nayyer Rahman,Munir Hassan 이준국제법연구원 2024 Journal of East Asia and International Law Vol.17 No.1
India has been a member of the BRICS group since 2009. It has been a staunch advocate for the synergistic power. Their summits have focused on a wide range of topics, all of which share the common goal of reorganizing the global economic and political order. The BRICS nations have together accomplished several significant milestones which include the establishment of the New Development Bank, the BRICS Payment System, collaborative anti-terror programs, climate mitigation, green energy, and other such initiatives. South Africa played home to the 15th BRICS Summit, which took place in the August of 2023 and was centered around the theme of “BRICS and Africa: Partnership for Mutually Accelerated Growth, Sustainable Development, and Inclusive Multilateralism.” This essay considers issues from an Indian perspective that may pop up in the future BRICS summit.
Asif Iqbal,최태정,김유삼,이윤미,M. Zahagir Alam,정종현,최호성,김종주 아세아·태평양축산학회 2019 Animal Bioscience Vol.32 No.11
Objective: A genome-based best linear unbiased prediction (GBLUP) method was applied to evaluate accuracies of genomic estimated breeding value (GEBV) of carcass and reproductive traits in Berkshire, Duroc and Yorkshire populations in Korean swine breeding farms. Methods: The data comprised a total of 1,870, 696, and 1,723 genotyped pigs belonging to Berkshire, Duroc and Yorkshire breeds, respectively. Reference populations for carcass traits consisted of 888 Berkshire, 466 Duroc, and 1,208 Yorkshire pigs, and those for reproductive traits comprised 210, 154, and 890 dams for the respective breeds. The carcass traits analyzed were backfat thickness (BFT) and carcass weight (CWT), and the reproductive traits were total number born (TNB) and number born alive (NBA). For each trait, GEBV accuracies were evaluated with a GEBV BLUP model and realized GEBVs. Results: The accuracies under the GBLUP model for BFT and CWT ranged from 0.33-0.72 and 0.33-0.63, respectively. For NBA and TNB, the model accuracies ranged 0.32 to 0.54 and 0.39 to 0.56, respectively. The realized accuracy estimates for BFT and CWT ranged 0.30 to 0.46 and 0.09 to 0.27, respectively, and 0.50 to 0.70 and 0.70 to 0.87 for NBA and TNB, respectively. For the carcass traits, the GEBV accuracies under the GBLUP model were higher than the realized GEBV accuracies across the breed populations, while for reproductive traits the realized accuracies were higher than the model based GEBV accuracies. Conclusion: The genomic prediction accuracy increased with reference population size and heritability of the trait. The GEBV accuracies were also influenced by GEBV estimation method, such that careful selection of animals based on the estimated GEBVs is needed. GEBV accuracy will increase with a larger sized reference population, which would be more beneficial for traits with low heritability such as reproductive traits.
Fahim Irfan Alam,Muhammad Iqbal Hasan Chowdhury,Md. Reza Rabbani 한국산학기술학회 2013 SmartCR Vol.3 No.4
Tremendous developments in the telecommunications sector in Bangladesh has been experienced recently and with this overwhelming success, each and every part of Bangladesh is now under cellular coverage. This success motivated us to develop a more reliable and transparent economic infrastructure through the use of cellular services. We proposed a multilayer network-supported framework that completely eliminates the need for paper money for all kinds of economic transactions. This paper proposes an extension of the framework by introducing embedded intelligence through the use of machine learning in order to facilitate the concept of data mining in our application. Because data mining is an important step in knowledge discovery, we can extract hidden and non-trivial information from raw data and predict a pattern that adds additional intelligence in our framework to make it more transparent and free of corruption. In this paper, we have utilized the significant functionalities of decision-tree classifiers in order to predict a transaction pattern for every concerned entity followed by handling all kinds of transactions by electronic means, and continuously monitoring them over the entire network. Satisfactory experimental results on an artificially created data set support the possibilities in real-world implementation.
Shoukat Waqas,Iqbal Muhammad Zahir,Khizar Asma,Murtaza Imran,Alam Shahid,Ali Rashid,Wabaidur Saikh Mohammad,Faisal Mian Muhammad 한국물리학회 2024 Current Applied Physics Vol.64 No.-
The elevated energy demand and crises have rooted the urge to develop advanced electrode materials that can overcome the energy dilemma present all over the globe. Metal-organic frameworks (MOFs) have emerged as promising electrode materials in recent times due to their better electrochemical properties. Herein the metal ligand synergy produced in MOFs is observed for the same metal center (Cu) with different ligands i.e., benzene-1,3,5-tricarboxylate (1,3,5-BTC) and benzene-1,2-dicarboxylate (1,2-BDC). The hybrid device of the best performing MOF (Cu-1,3,5-BTC//AC) reveals the energy and power density of 88.32 Wh kg−1 and 680 W kg−1, respectively. Even at the highest current density of 15 A/g, the device retained the Es of 21.25 Wh kg−1 and Ps of 12,750 W kg−1. Furthermore, the semi-empirical approach was utilized for the evaluation of capacitive and diffusive contributions.