470 research outputs found
Management of mites with homemade neem fruit aqueous extract in capsicum under protected cultivation
No full textBhullar, Manmeet Brar, Kaur, Paramjit, Kumar, Sanjeev, Sharma, Rakesh Kumar, Kumar, Rajinder, Kumari, Suman, Singh, Vinay, Kaur, Arshdeep, Kaur, Jagdeep, Sharma, Urvi, Kaur, Jasjinder (2021): Management of mites with homemade neem fruit aqueous extract in capsicum under protected cultivation. Persian Journal of Acarology 10 (1): 85-94, DOI: 10.22073/pja.v10i1.61968, URL: https://www.mendeley.com/catalogue/f143dbd7-151b-317f-a54c-e05015597a71
Affordability of fruits and vegetables and dietary quality worldwide
No full textRefers to:\ud
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Victoria Miller, Salim Yusuf, Clara K Chow, Mahshid Dehghan, Daniel J Corsi, Karen Lock, Barry Popkin, Sumathy Rangarajan, Rasha Khatib, Scott A Lear, Prem Mony, Manmeet Kaur, Viswanathan Mohan, Krishnapillai Vijayakumar, Rajeev Gupta, Annamarie Kruger, Lungiswa Tsolekile, Noushin Mohammadifard, Omar Rahman, Annika Rosengren, Alvaro Avezum, et al.\ud
Availability, affordability, and consumption of fruits and vegetables in 18 countries across income levels: findings from the Prospective Urban Rural Epidemiology (PURE) study\ud
The Lancet Global Health, Volume 4, Issue 10, October 2016, Pages e695-e70
Anomaly based Botnet Detection using DNS Traffic Analysis
No full textPhD ThesisCybercrimes are evolving on a regular basis and these crimes are becoming a greater threat day by day. Earlier these threats were very general and unorganized. In the last decade, these attacks
have become highly sophisticated in nature. This higher level of coordination is possible mainly
due to Botnet which is a cluster of infected hosts controlled remotely by an attacker (Botmaster).
The number of infected machines is continuously rising thereby resulting in Botnets with many
of these having even over a million infected machines. This innumerous set of machines with
varied computational and storage capabilities give the botmaster a lethal weapon to launch
various security attacks. This never-ending menace of the botnet is causing many serious
problems on the Internet.
Domain Name System is a large-scale distributed database on the Internet, which is being
abused as a Botnet communication channel. Significant efforts have been made in detecting
botnet at the global level which relies heavily on finding failed queries and domain flux
information for botnet detection, there are very few efforts being made to detect bot infection
at an enterprise level. Detecting bot-infected machines are vital for any organization in
combating various security threats.
This research work proposes a novel anomaly-based detection technique which considers
captured DNS traffic from LAN hosts on hourly basis to generate DNS fingerprint and attempts
to find anomalous behavior which is quite different from normal machine behavior. This
research work successfully demonstrates the DNS Anomaly Detection (named BotDAD)
technique for detecting bot-infected machine in a network using DNS fingerprinting. It uses a
feature extractor module to extract DNS attributes and build a host profile for all hosts in the
network. The host profile is then parsed to generate DNS fingerprint. BotDAD creates DNS
fingerprint of each host in the network and uses anomaly detection engine to label them as bot
or clean. BotDAD uses a machine learning classifier to develop a trained model for future
predictions. The system is evaluated against DNS network traffic captured from TIET Patiala
campus on an hourly basis. The system was able to detect Bot infected machines in the network.
The domains used for C&C by these bots were validated against online DGA domains database.
Results from BotDAD gives an accuracy of 0.9978. To improve the accuracy of the BotDAD, a multi-layer neural network named DeepDAD was implemented. DeepDAD is a Deep
Learning based DNS Anomaly Detection tool created as part of this research which considers
multipoint anomaly detection and uses deep learning algorithms. Instead of relying on a single
point anomaly for labeling DNS fingerprint as malicious, an improved labeling technique which
uses multipoint anomaly detection is implemented. Two machine learning frameworks namely
Scikit-learn and TensorFlow were used to train and test the model showing significant
improvement over the results obtained using BotDAD. Finally, a graphical user interface for
easy testing and comparison is presented
Governing Global Science: Pandemic Preparedness and H5N1 Research on the International Stage
No full textabstract: The thesis examines the Indonesian claim of H5N1 viral sovereignty in 2006, and the mutant H5N1 papers controversy in 2011, to analyze the notion of science transcending national boundaries and novel conflicts with science operating on the international stage, specifically for H5N1 preparedness. This thesis argues how the symmetries between the Indonesian sovereignty case and the H5N1 papers controversy illustrate the locus of contention and uncertainty present in the international scientific space, specifically related to the ownership and governance of influenza pandemic preparedness materials and research. To achieve this, the thesis comparatively analyzes the two controversies to reveal the unsettledness in dimensions of both pandemic preparedness and international and transnational governance of science. This symmetrical analysis clarifies the unresolved issues of ownership, control, and accountability, which exist in the scientific international space. The deliberations of both case studies were framed so that the primary goal of the resolutions developed into maintaining scientific openness for public health benefit. With this method of deliberation taken, the significant and unique issues raised by these cases, in addition to the ownership questions that were allowing these controversies to gain prominence, were commonly left unaddressed. In doing so, the potential of the reemergence for similar controversies remains high
Reducing PAPR from the Transmitted Signal by the Application of Clipping and Filtering Mechanism
No full text
Relationship between employee empowerment, performance, motivation and job satisfaction
Get PDFThis study is aimed at understanding the relationship between the empowerment and motivation lev els of employees and the ways in which these are related to the satisfaction of employees in their jobs.
The theoretical background provided a thorough explanation of employee empowerment, including how it is defined, its increasing relevance, what it means, and the potential effects it may have on workers' performance. Additionally, it included academically based recommendations for effective workplace empowerment culture implementation tactics.
To get the necessary data for this study, a qualitative technique and semi-structured interviews were used. Additionally, convenience sampling and purposive sampling were utilised to choose the re spondents for this case. Managers and workers who were pertinent to the study questions and open to participating at the time of the visit were chosen as the sample frame for this thesis.
The results indicated that employee empowerment has a very significant impact on work culture. It is favourably associated to worker’s performance. They are more motivated to complete their task when they feel empowered. Additionally, it was discovered that employees only have a limited amount of authority, meaning they can only make small decisions that are directly related to their work and only seniors can make major decisions
EMPOWERING RURAL INDIAN WOMEN THROUGH EDUCATION: THE ROLE OF TEACHERS IN OVERCOMING SOCIO-ECONOMIC BARRIERS
Get PDFIndia has always been a nation of villages, and although Indian women are revered as goddesses, their current circumstances are incredibly deplorable. Since the day they were born, they have experienced troubles. Additionally, tradition and custom are hostile to women. Their lives are being improved by several NGOs and the government, but these efforts remain insufficient. The main obstacle to their development and empowerment is education. The reality is that our nation has the highest percentage of illiterate people in the whole globe. Approximately 50% of all adult females in India cannot read or write, and roughly one-third of the country\u27s population is today functionally illiterate. Particularly among women and in rural regions, illiteracy rates are high. Education for women is essential to the overall growth of any nation. Even though gender equality in education is given a lot of attention in India, there is still inequality in access to education. Women have different levels of access to education in rural and urban areas. All of these issues are covered in this essay along with appropriate solutions to the issues
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