738 research outputs found
CONSTRAINTS FACED BY WHEAT GROWERS OF UDHAM SINGH NAGAR DISTRICT, UTTARAKHAND
No full textDhirendra Kumar1, Harshita Bisht2 & Naresh Kumar
CONSTRAINTS FACED BY WHEAT GROWERS OF UDHAM SINGH NAGAR DISTRICT, UTTARAKHAND
No full textDhirendra Kumar1, Harshita Bisht2 & Naresh Kumar
Proteogenomic analysis of bradyrhizobium japonicum USDA110 using genosuite, an automated multi-algorithmic pipeline
No full textWe present GenoSuite, an integrated proteogenomic pipeline to validate, refine and discover protein coding genes using high-throughput mass spectrometry (MS) data from prokaryotes. To demonstrate the effectiveness of GenoSuite, we analyzed proteomics data of Bradyrhizobium japonicum (USDA110), a model organism to study agriculturally important rhizobium-legume symbiosis. Our analysis confirmed 31% of known genes, refined 49 gene models for their translation initiation site (TIS) and discovered 59 novel protein coding genes. Notably, a novel protein which redefined the boundary of a crucial cytochrome P450 system related operon was discovered, known to be highly expressed in the anaerobic symbiotic bacteroids. A focused analysis on N-terminally acetylated peptides indicated downstream TIS for gene blr0594. Finally, ortho-proteogenomic analysis revealed three novel genes in recently sequenced B. japonicum USDA6T genome. The discovery of large number of missing genes and correction of gene models have expanded the proteomic landscape of B. japonicum and presents an unparalleled utility of proteogenomic analyses and versatility of GenoSuite for annotating prokaryotic genomes including pathogens
EISMF
No full textThesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 124-130).There are several technological solutions available in the market to help organizations with information security breach detection and prevention such as intrusion detection and prevention systems, antivirus software, firewalls, and spam filters. There is no doubt in the fact that significant progress has been made in the technological side of information security. However, when we study causes of information security breaches, we find that a significant number are caused by non-technical reasons such as social engineering, theft of computing device or portable hard drive, human behavior, and human error. This leads us to conclude that information security should not be viewed through technology perspective only. Instead, a more holistic approach is required. This thesis provides a systems approach towards information security management and include technological, management and social aspects. This thesis starts with introduction especially background and motivation of the author, followed by literature research. Next, Enterprise Information Security Management Framework is presented leading to estimation of an organization's information security management maturity-level. Finally, conclusion and potential future work are presented.by Dhirendra Sharma.S.M.in Engineering and Managemen
South African renewable energy investment barriers : an investor perspective
No full textDissertation (MBA)--University of Pretoria, 2011.This paper investigates the factors limiting financial investments in renewable energy. A qualitative research study was conducted on South African based financial investors in renewable energy technologies with the intention of identifying investment barriers. The methodology employed involved a literature review. In addition, a questionnaire was designed and interviews were conducted to ascertain the prevalence of such investment barriers in a South African context. The results obtained were analysed using both qualitative and quantitative methods. These analyses revealed that the barriers that were identified namely political, economic, social and technological are valid for South Africa. In addition, several other barriers were identified that are specific to South Africa, such as education, poverty, technological readiness and access to the electricity grid. On the basis of the findings some recommendations are made which include building closer relationships between government and the private sector, as well as ensuring that government maintains an active role in promoting the renewable energy industry. CopyrightGordon Institute of Business Science (GIBS)unrestricte
Synthetic Gene Complementation to Determine Off-Target Silencing
No full textRNA interference (RNAi) is a conserved mechanism in a wide range of eukaryotes. Introduction of synthetic dsRNA could specifically target suppression of a gene or could result in off-target silencing of another gene due to sequence similarity. To verify if the observed phenotype in an RNAi transgenic line is due to silencing of a specific gene or if it is due to another nontarget gene, a synthetic gene complementation approach could be used. Synthetic gene complementation described in this method uses the technology of synthesizing a variant of a native gene (used in RNAi silencing) to maximize the difference in DNA sequences while coding for the exact same amino acids as the original native gene. This is achieved through the use of alternate codons. The new variant gene is expressed in the original RNAi transgenic lines and analyzed for complementation of the RNAi phenotype. Complementation of the RNAi-induced phenotype will indicate gene-specific silencing and not off-target silencing
An overview of advanced AI-driven mobile robot for early forest fire detection: Expert system
No full textForest fires significantly threaten ecosystems, biodiversity, and the environment. Rapid response is crucial to prevent extensive damage. This paper explores the potential of mobile robots as first responders in forest fire management. Various design approaches for these robots, along with detailed discussions on data acquisition techniques and navigation methods. The study delves into the integration of advanced sensors and artificial intelligence for precise fire detection and efficient path planning in challenging terrains. Emphasis is placed on the ability of these robots to operate autonomously, ensuring rapid deployment and minimizing human risk during fire emergencies. This research aims to provide actionable insights for developing next-generation robotic solutions, fostering a safer and more sustainable approach to forest fire management. a comparative analysis of existing robotic models is presented, focusing on their strengths, limitations, and applications in real-world scenarios
Nanoecology: Exploring Engineered Nanoparticles’ Impact on Soil Ecosystem Health and Biodiversity
No full textNANOTECHNOLOGY is a growing field that explores the interactions between engineered nanoparticles and ecosystems, with a focus on soil health and biodiversity. Engineered nanoparticles are intentionally designed at the nanoscale and offer unique properties and diverse applications, making them increasingly prevalent in consumer products and industrial processes.
However, their release into the environment has raised concerns about potential ecological consequences, particularly their impacts on soil health. Studies have shown that engineered nanoparticles can have complex effects on soil microbial communities and nutrient cycling, with responses ranging from positive to adverse. Additionally, their ability to be absorbed and translocated
by plants brings upon questions about their potential bioaccumulation in food chains and their effects on higher trophic levels. Understanding these intricate interactions is crucial for developing sustainable nanotechnology applications that can benefit agriculture and environmental remediation without compromising the ecosystem health. Nanoecology is an emerging field that requires attention to ethical and regulatory considerations in the use of nanomaterials. To ensure that these advanced technologies
contribute positively to the ecosystem, researchers and policymakers must address these aspects. By understanding the complex interactions between nanoparticles and ecosystems, nanoecology offers the potential for innovative solutions that promote sustainable coexistence between nanotechnology and the natural world. This study specifically focuses on the relationship between engineered nanoparticles and soil health profiling. It provides a concise overview of this relationship, emphasizing the
importance of responsible nanoparticle use. Additionally, the study highlights the need for monitoring soil health in soils contaminated with nanoparticles. Overall, this research underscores the significance of considering ethical and regulatory factors in the use of nanomaterials. It also emphasizes the importance of understanding the impact of nanoparticles on soil health and the need for responsible practices in their application
Machine learning driven cyber resilience framework for mobile tactical networks with graph-based threat detection and adversarial security engineering in cyber physical systems
No full textAdvanced mobile network connectivity is being fueled by the rapid evolution of 5G and the forthcoming 6G technologies. This however has exposed mobile networks to new cyber threats and security vulnerabilities. Consequently, cyber resilience, that is, the cope to prepare, identify, respond and recover from cyber-related incidents has become crucial. This paper focuses on a cyber resilience framework for mobile networks utilizing machine learning (ML) aiming at emerging threats. Machine Learning supervised, unsupervised and deep learning algorithms can perform anomaly detection, intrusion detection, prediction and automated threat response systems. Major ones like IDS and anomaly detection are discussed and analyzed with practical instances. The study examines and proposes federated learning, reinforcement learning and explainable AI (XAI) suffice in addressing issues of scarcity of data, time-sensitive processing, and emerging cyber threats. Integrating IoT, edge computers and 6G networks can also improve resilience. It is evident that there is great potential for cyber resilience through machine learning however it has been suggested that standardization, benchmarking and effective test frameworks are put in place
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