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Traditional Music through the Lens of Copyright
No full text229-235India is a country rich in cultural heritage and has in its repertoire a vast pool of folk songs. Music composers not alone from India, even from the West are now looking at and using the folk songs of India in their compositions. In the quest to compose music that is pleasing to the ear, present day composers are now using traditional music in their compositions. The holder/community who has composed the traditional music is neither given any credit nor are they compensated. India does not have in place an effective legal system to protect traditional music. The absence of an effective legal protection for traditional music is a ruse for the composers who appropriate the music of the traditional community. Though some countries consider traditional music as common heritage, many countries including India are yet to evolve any legislation for ensuring that the traditional music is not used without acknowledging the stake holders. The work is intended to inform the readers of the importance of traditional music and its rampant use without permission. The article canvasses for a formal legal clothing for traditional music which will ensure an adequate recompense for the holders of the traditional music
Fixed Effect Estimation of Patents and FDI: India and Its Economic Partners
No full text164-176Economic globalization has facilitated business enterprises making use of trade agreements, FDI inflows and intellectual
property related assets beyond national boundaries.The introduction of IPR related chapters in trade agreements especially
the patent system is fostering innovation, and economic development in the country. India has signed CEPA
(Comprehensive Economic Partnership Agreement) and CECA (Comprehensive Economic Cooperation Agreements) which
has been instrumental in building integration of intellectual property rights compared to other bilateral trade agreements
This paper analyses the impact of FDI inflows on the number of patent applications filed in India by those countries
which are part of CECA, CEPA and other trade treaties. A Year Fixed Effect methodology for a group of 11 countries is
used to study the qualitative and quantitative estimation. The time period between 2005 and 2022 has been used in the
estimation.The empirical findings support the hypothesis that countries under CECA and CEPA have significant positive
results on investment inflows and filings of patent in India. Furthermore, India should design its trade policies like
CECA/CEPA to help induce high quality FDI drive India towards creation of knowledge-based economy
ISAVM: Improved Smart Avian Monitoring using FLANN-based Audio Activity Detection & Speech Enhancement
No full text301-307The Avian monitoring system is one of the challenging tasks that helps identify the environmental changes in the forest
as well as the overall counts of specific species. Out of several methods available for avian monitoring, audio-based avian
monitoring is one of the most efficient and cost-effective tools. By studying bird sounds, a smart society can be built for an
enhanced avian surveillance system through the use of speech recognition algorithms. Conventionally, speech characteristics
are employed for these tasks, which may not be appropriate given that these acoustic noises deviate from human speech and
deteriorate the identification systems’ performance. An application-specific audio activity identification technique is needed
since the features of human voice and bird sound differ. As of now, few works have been reported mainly for the bird sound
analysis with audio activity detection and speech enhancement schemes. This work has considered and implemented this
problem in three steps. In the first stage, an improved voice activity algorithm is designed using a Functional Link Artificial
Neural Network model. In the second stage, an effective AdaBoost classifier is used for training and testing. Finally, the
developed model, ISAVM: Improved Smart Avian Monitoring System has been checked for improved performance in two
standard bird datasets. The evaluation has been done for different preprocessing options with and without audio activity
detection and speech enhancement schemes. It has been observed that the proposed model is performing consistently with
more than 93% of classification accuracy which is better than the standard avian monitoring models
Identification of novel compound against STAT3 mediated liver fibrosis: An MD simulation based study
No full text178-186Liver fibrosis, characterized by the pathological accumulation of extracellular matrix in response to chronic liver injury, represents a significant global health concern. Signal Transducer and Activator of Transcription 3 (STAT3) have been identified as a critical mediator in the fibrotic process, making it an attractive target for therapeutic intervention. This study aimed to computationally design a novel inhibitor against STAT3, utilizing bioactive compounds derived from Ricinus communis, a plant recognized for its hepatoprotective properties. 30 bioactive compounds from Ricinus communis were initially screened through molecular docking with STAT3, followed by further evaluation of the top 10 compounds using Swiss ADME for pharmacokinetic parameters and drug-like properties. Subsequently, (5beta)Pregnane-3,20beta-diol, 14alpha, 18alpha-[4-methyl-3-oxo-(1-oxa-4-azabutane-1,4-diyl)]-, diacetate was selected based on its robust binding affinity and favorable Swiss ADME profile, demonstrating potential stability in complex with STAT3 through molecular dynamics (MD) simulations. Analysis of MD simulation trajectories indicated stable interactions between STAT3 and (5beta)Pregnane-3,20beta-diol, 14alpha,18alpha-[4-methyl-3-oxo-(1-oxa-4-azabutane-1,4-diyl)]-, diacetate, as evidenced by RMSD, RMSF, Rg, SASA and binding free energy values. In conclusion, These findings position (5β)Pregnane-3,20β-diol, 14α.,18α.-[4-methyl-3-oxo-(1-oxa-4-azabutane-1,4-diyl)]-diacetate as a promising inhibitor of STAT3 from Ricinus communis, offering potential for therapeutic advancement in liver fibrosis treatment and drug development