192 research outputs found
Non-sterile electroweak-scale right-handed neutrinos and the dual nature of the 125-GeV scalar
Can, and under which conditions, the 125-\gev SM-like scalar with the signal
strengths for its decays into , , ,
and being consistent with experiments be accommodated in
models that go beyond the Standard Model? Is it truly what it appears to be,
namely the SM Higgs boson, or could it be quite different? A minimal extension
of the original electroweak-scale right-handed neutrino model, in which
right-handed neutrinos naturally obtain electroweak-scale masses, shows a
scalar spectrum which includes either the 125-\gev SM-like scalar or a scalar
which is quite {\em unlike} that of the Standard Model, both of which
possessing signal strengths compatible with experiment. In other words, the
125-\gev scalar could be an {\em impostor}.Comment: 36 double-column pages, 13 Figures, 9 Tables. Typos corrected.
Version to appear in Nuclear Physics
SOCIAL NETWORKING SITE: AN EFFECTIVE TOOL FOR SECOND GENERATION E-GOVERNANCE
The emerging technological development in information and communication technology has opened a new gateway for the virtual form of communication in form of social networking sites. Now, there are a variety of online social media applications to enable communication between people, groups. The increasing popularity of these networking sites among all class of society has compelled to the government to think about use of this kind of model for providing SMART E-governance.The first phase of e-governance was merely intend towards web presence of public institutions and dissemination of information but with the passage of the time the expatiations of people from Government are keep changing and becoming more demanding in order to seek second phase of egovernance to get - on line-real time delivery of administration. The present paper makes an attempt to explore the relevance of social networking sites as an effective tool for e-governance in India.The paper seeks to provide a solution where by network sites could be used for solving various social and economical problems seen in Government machinery. The paper is descriptive in nature and would be helpful to the Government as well as people to insure second generation e-governance
CYBER CRIMES: A THREAT TO HUMANITY
Good and bad has co-existence since the beginning of the world. Where first one comprises all things which are essential for wellbeing of all whereas other ones connotes negativity. Unfortunately technology cannot be mention as an exception of this rule. The internet and its technologies has opened up many opportunities for all countries to develop their economies. On one hand our scientist, technocrats are using this advanced stream of science for betterment of all and to make India self-dependent and secure from attack of our enemies while on the other hand a very well structured groups (Independent or Nation sponsored) are also using these technologies as a tool to make INDIA weak and helpless.Cyber criminals perform various acts like cyber stalking, on-line harassment, on-line defamation, hacking, and so forth collectively we call it cybercrime. When these activities are managed by organized group systematically and deliberately we term it as CYBER TERRORISM. Cyber terrorism is a well-planned and organized use of technologies by cyber experts resides inside and outside the country for anti-national activities. Although our government is well capable to fight against such challenges it requires support, awareness and alertness from people.This paper highlights some of the basics of cyber terrorism. This paper further discusses about the threats of cyber terrorism and the present status of various cybercrimes in India. This paper aims at creating awareness on cybercrime and suggests check on cybercrime.
Nanostructured Pt-Doped 2D MoSe: An Efficient Bifunctional Electrocatalyst for both Hydrogen Evolution and Oxygen Reduction Reactions
TMDs are a new family of 2D materials with features that make them appealing
for potential applications in nanomaterials science and engineering. Although,
the edges of the 2D TMDs show excellent electrocatalytic performance, their
basal plane is inert which hinders the industrial applications for
electrocatalysis. Here, we have computationally designed the 2D monolayer
MoSe and studied its electronic properties with electrocatalytic
activities. Pt-atom has been doped in the pristine 2D MoSe to activate the
inert basal plane resulting zero bandgap. This study reveals that the
Pt-MoSe is an excellent bifunctional electrocatalyst for both the hydrogen
evolution reaction (HER) and oxygen reduction reaction (ORR) with the aid of
the DFT. Periodic hybrid DFT method has been applied to compute the electronic
properties of both the pristine MoSe and Pt-MoSe. To determine both the
HER and ORR mechanisms on the surface of the Pt-MoSe2 material, a non-periodic
DFT calculation has been performed by considering a molecular
Pt1-MoSe cluster model. The present study shows that the 2D
Pt-MoSe follows Volmer-Heyrovsky mechanism for HER with the energy barriers
about 9.29 kcal/mol and 10.55 kcal.mol-1 during the H-migration and Heyrovsky
reactions. The ORR is achieved by four-electron transfer mechanism with the
formation of two transition energy barriers about 14.94 kcal/mol and 11.10
kcal/mol, respectively. The lower energy barriers and high turnover frequency
during the reactions expose that the Pt-MoSe can be adopted as an efficient
bifunctional electrocatalyst for both the HER and ORR. The present studies
demonstrate that the exceptional HER and ORR activity and stability performance
shown by the MoSe electrocatalyst can be enhanced by Pt-doping, opening a
promising concept for the sensible design of high-performance catalyst for H2
production and O2 reduction
Electrocatalytic Performance of 2D Monolayer WSeTe Janus Transition Metal Dichalcogenide for Highly Efficient H2 Evolution Reaction
Now-a-days, the development of clean and green energy sources is the prior
interest of research due to increasing global energy demand and extensive usage
of fossil fuels that create pollutants. Hydrogen has the highest energy density
by weight among all chemical fuels. For the commercial-scale production of
hydrogen, water electrolysis is the best method which in turn requires an
efficient, cost-effective and earth-abundant electrocatalyst. Recent studies
have shown that the 2D Janus TMDs are highly effective in the electrocatalytic
activity for HER. Herein we report a 2D monolayer WSeTe Janus TMD
electrocatalyst for HER. We studied the electronic properties of 2D monolayer
WSeTe Janus TMD using periodic DFT calculations, and the direct electronic band
gap was obtained to be 2.39 eV. After the calculations of electronic
properties, we explored the HER intermediates including various transition
state structures (Volmer TS, Heyrovsky TS, and Tafel TS) using a molecular
cluster model of WSeTe noted as W10Se9Te12. The present calculations revealed
that the 2D monolayer WSeTe Janus TMD is a potential electrocatalyst for HER.
It has the lowest energy barriers for all the TSs among other TMDs, such as
MoS2, Mn-MoS2, MoSSe, etc. The calculated Heyrovsky energy barrier (= 8.72
kcal.mol-1) for the Volmer-Heyrovsky mechanism is larger than the Tafel energy
barrier (=3.27 kcal.mol-1) in the Volmer-Tafel mechanism. Hence our present
study suggests that the formation of H2 is energetically more favorable via the
Vomer-Tafel mechanism. This work helps shed light on the rational design of
effective HER catalysts.Comment: 39 page
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images
Alzheimer's disease is a degenerative brain disease. Being the primary cause
of Dementia in adults and progressively destroys brain memory. Though
Alzheimer's disease does not have a cure currently, diagnosing it at an earlier
stage will help reduce the severity of the disease. Thus, early diagnosis of
Alzheimer's could help to reduce or stop the disease from progressing. In this
paper, we proposed a deep convolutional neural network-based model for learning
model using to determine the stage of Dementia in adults based on the Magnetic
Resonance Imaging (MRI) images to detect the early onset of Alzheimer's.Comment: Short paper, Under Review in FLAIRS-3
Accessory belly of flexor digitorum superficialis - case report of a rare variant
Variations of the muscles pose a challenge to diagnosis and knowledge about them is important during surgeries and other interventions. At times these variations may cause symptoms per se. Variations of the Flexor digitorum superficialis: a muscle of the anterior compartment of forearm, are not very common. We present a rare variation of this muscle in the right upper limb of a male cadaver. The variant was an accessory belly arising from and under the Flexor digitorum superficialis and inserting into the base of proximal phalanx of the index finger. We also review the evolutionary and embryological concepts of such variations
A comparative study of the learning styles among 1st, 2nd and final year MBBS students
Background: Learning style is the way students begin to focus, internalize and remember new and difficult information. Identifying the learning styles of medical students will enable the faculty to use appropriate T/L method to increase the grasping ability of their subject/ learning. Purpose of the study was to assess and compare the learning styles of 1st, 2nd and final MBBS students by using VARK questionnaire.Methods: This was an observational, cross-sectional study based on the questionnaire, conducted by the department of Pharmacology at Basaveshwara Medical College and Hospital, Chitradurga. The VARK learning styles assessment questionnaire was administered to 1st (96 students), 2nd (60 students) and Final year (49 students). The students were categorized as auditory, kinaesthetic, visual learner or read/write depending on the predominant option they chose. Independent sample 't' test was used to compare the mean scores between the two groups using the software SPSS v22.Results: 40% of students had unimodal and 60% had multimodal learning style. Final year MBBS students had higher percentage of multimodal learning style (73%). The most preferred style of learning among all the medical students was kinesthetic (6.6), followed by aural (5.5), visual (4.0) and read/write (3.5). There was significant difference between the learning styles of 1st and Final year MBBS students in Visual (p=0.01) and Read /Write (p= 0.008).Conclusions: Knowing that students have different learning styles and kinesthetic being the most preferred mode of learning will help medical faculty to develop teaching/learning strategies for better outcomes
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