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Study of sunscreen activity of aqueous, methanol and acetone extracts of leaves of Pongamia pinnata (L.) pierre, fabaceae
Shenoy Priyank,Khot Sachin,Chavan Manisha,Takawale Jagruti
International Journal of Green Pharmacy , 2010,
Abstract: The present research work evaluates the photoabsorptive property of different extracts of the leaves of Pongamia pinnata (L.) Pierre, Fabaceae, in the ultraviolet region (200-400 nm) and its comparison with a well-established standard sunscreen drug, p-aminobenzoic acid (PABA). The shade-dried leaves of the plant were extracted in Soxhlet apparatus using three different solvents, i.e., water, methanol and acetone. The extracts were concentrated by evaporation of the solvent and finally dried to get dry extracts. Then, 20 mg of the dry extracts was dissolved in the respective solvents and their absorption spectra were measured using UV-visible spectrophotometer. Absorbance of different concentrations of the extracts, i.e., 5, 10, 15 and 20 mg/100 ml was read at their respective wavelengths (λmax ) of maximum absorption. The aqueous and methanol extracts were found to be highly effective in the UVB and moderately effective in the UVA region. Acetone extract was found to greatly absorb exclusively in the UVA region. The known standard drug PABA showed its protective action in the UVB and UVC regions with least effectiveness in the UVA region. The extracts of the leaves of the plant under study showed extremely good absorbance throughout the UV region including UVA region. The P. pinnata extract can be used to formulate highly effective sunscreen preparations as it will enhance and effectively contribute to the UV absorbing properties of a conventional sunscreen. It will also help in broadening the UV protection ability of the sunscreens along with the greatest advantage of avoiding the adverse and undesired effects of synthetic sunscreen compounds.
Malware Detection Module using Machine Learning Algorithms to Assist in Centralized Security in Enterprise Networks
Priyank Singhal,Nataasha Raul
International Journal of Network Security & Its Applications , 2012,
Abstract: Malicious software is abundant in a world of innumerable computer users, who are constantly faced withthese threats from various sources like the internet, local networks and portable drives. Malware is potentially low to high risk and can cause systems to function incorrectly, steal data and even crash.Malware may be executable or system library files in the form of viruses, worms, Trojans, all aimed atbreaching the security of the system and compromising user privacy. Typically, anti-virus software is based on a signature definition system which keeps updating from the internet and thus keeping track of known viruses. While this may be sufficient for home-users, a security risk from a new virus could threaten an entire enterprise network. This paper proposes a new and more sophisticated antivirus engine that can not only scan files, but also build knowledge and detect files as potential viruses. This is done by extracting system API calls made by various normal and harmful executable, and using machine learning algorithms to classify and hence, rank files on a scale of security risk. While such a system is processor heavy, it is very effective when used centrally to protect an enterprise network which maybe more prone to such threats.
Malware Detection Module using Machine Learning Algorithms to Assist in Centralized Security in Enterprise Networks
Priyank Singhal,Nataasha Raul
Computer Science , 2012, DOI: 10.5121/ijnsa.2012.4106
Abstract: Malicious software is abundant in a world of innumerable computer users, who are constantly faced with these threats from various sources like the internet, local networks and portable drives. Malware is potentially low to high risk and can cause systems to function incorrectly, steal data and even crash. Malware may be executable or system library files in the form of viruses, worms, Trojans, all aimed at breaching the security of the system and compromising user privacy. Typically, anti-virus software is based on a signature definition system which keeps updating from the internet and thus keeping track of known viruses. While this may be sufficient for home-users, a security risk from a new virus could threaten an entire enterprise network. This paper proposes a new and more sophisticated antivirus engine that can not only scan files, but also build knowledge and detect files as potential viruses. This is done by extracting system API calls made by various normal and harmful executable, and using machine learning algorithms to classify and hence, rank files on a scale of security risk. While such a system is processor heavy, it is very effective when used centrally to protect an enterprise network which maybe more prone to such threats.
An Approach to Assess the Resiliency of Electric Power Grids  [PDF]
Navin Shenoy, R. Ramakumar
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.311001
Abstract:

Modern electric power grids face a variety of new challenges and there is an urgent need to improve grid resilience more than ever before. The best approach would be to focus primarily on the grid intelligence rather than implementing redundant preventive measures. This paper presents the foundation for an intelligent operational strategy so as to enable the grid to assess its current dynamic state instantaneously. Traditional forms of real-time power system security assessment consist mainly of methods based on power flow analyses and hence, are static in nature. For dynamic security assessment, it is necessary to carry out time-domain simulations (TDS) that are computationally too involved to be performed in real-time. The paper employs machine learning (ML) techniques for real-time assessment of grid resiliency. ML techniques have the capability to organize large amounts of data gathered from such time-domain simulations and thereby extract useful information in order to better assess the system security instantaneously. Further, this paper develops an approach to show that a few operating points of the system called as landmark points contain enough information to capture the nonlinear dynamics present in the system. The proposed approach shows improvement in comparison to the case without landmark points.

A REVIEW REPORT FOR NEXT GENERATION OF CMOS TECHNOLOGY AS SPINTRONICS: FUNDAMENTALS, APPLICATIONS AND FUTURE
Shiromani Balmukund Rahi,Priyank Rastogi
International Journal of Advances in Engineering and Technology , 2013,
Abstract: As the scaling continues to reduce the physical feature size and to increase the functional throughput, two most outstanding limitations and major challenges among others, are power dissipation and variability as identified by ITRS. This paper presents the expose, in those collective phenomena, spintronics using appropriate order parameters of magnetic moment. It shows that the benefits of the scalability to smaller sizes in the case of spintronics (nanomagnetics) include a much reduced variability problem as compared with today's electronics. In addition, another advantage of using nanomagnets is the possibility of constructing nonvolatile logics, which allow for immense power savings during system standby. However, most of devices with magnetic moment usually use current to drive the devices and consequently, power dissipation is a major issue. Spin-dependent phenomena in semiconductors may lead to devices with new enhanced functionality, such as polarized solid-state light sources (spin light-emitting diodes), novel microprocessors and sensitive biological and chemical sensors. Spintronics (or spin electronics) is an emerging field of basic and applied research in physics and engineering that aims to exploit the role played by electron spin in the solid state material. Spintronics devices make use of spin properties instead of, or in addition to electron charge to carry information, thereby offering opportunities for novel nanoelectronics devices. This paper reviews the background and current status of this subject and some applications of Spontronics.
Endo-perio lesions: Diagnosis and clinical considerations
Shenoy Nina,Shenoy Arvind
Indian Journal of Dental Research , 2010,
Abstract: The interrelationship between periodontal and endodontic disease has aroused confusion, queries and controversy. Differentiating between periodontal and endodontic problems can be difficult. A symptomatic tooth may have pain of periodontal and/or pulpal origin. The nature of that pain is often the first clue in determining the etiology of such a problem. Radiographic and clinical evaluation can help clarify the nature of the problem. In some cases, the influence of pulpal pathology may create periodontal involvement. In others, periodontal pathology may create pulpal pathology. This review article discusses the various clinical aspects to be considered for accurately diagnosing and treating endo-perio lesions.
Dental ceramics: An update
Shenoy Arvind,Shenoy Nina
Journal of Conservative Dentistry , 2010,
Abstract: In the last few decades, there have been tremendous advances in the mechanical properties and methods of fabrication of ceramic materials. While porcelain-based materials are still a major component of the market, there have been moves to replace metal ceramics systems with all ceramic systems. Advances in bonding techniques have increased the range and scope for use of ceramics in dentistry. In this brief review, we will discuss advances in ceramic materials and fabrication techniques. Examples of the microstructure property relationships for these ceramic materials will also be addressed.
Environmentally Realistic Exposure to the Herbicide Atrazine Alters Some Sexually Selected Traits in Male Guppies
Kausalya Shenoy
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0030611
Abstract: Male mating signals, including ornaments and courtship displays, and other sexually selected traits, like male-male aggression, are largely controlled by sex hormones. Environmental pollutants, notably endocrine disrupting compounds, can interfere with the proper functioning of hormones, thereby impacting the expression of hormonally regulated traits. Atrazine, one of the most widely used herbicides, can alter sex hormone levels in exposed animals. I tested the effects of environmentally relevant atrazine exposures on mating signals and behaviors in male guppies, a sexually dimorphic freshwater fish. Prolonged atrazine exposure reduced the expression of two honest signals: the area of orange spots (ornaments) and the number of courtship displays performed. Atrazine exposure also reduced aggression towards competing males in the context of mate competition. In the wild, exposure levels vary among individuals because of differential distribution of the pollutants across habitats; hence, differently impacted males often compete for the same mates. Disrupted mating signals can reduce reproductive success as females avoid mating with perceptibly suboptimal males. Less aggressive males are at a competitive disadvantage and lose access to females. This study highlights the effects of atrazine on ecologically relevant mating signals and behaviors in exposed wildlife. Altered reproductive traits have important implications for population dynamics, evolutionary patterns, and conservation of wildlife species.
Undescended testis
Shenoy V
Journal of Indian Association of Pediatric Surgeons , 2007,
Abstract:
Law demands "Care" - not "Cure"
Shenoy Gopinath
Journal of Gynecological Endoscopy and Surgery , 2009,
Abstract: In today′s medicolegal scenario specially related to endoscopic surgery, patient expects a miraculous result or a definite cure.However the author who has experience of both the fields i.e. gynecological endoscopy and medicolegal aspects, clears that the law doesn′t expect a 100% cure but expects proper medical care by the concerned gynecologist, gynecological endoscopist. Patient also has to be informed about this important fact.
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