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 $W^{+}W^{-}$, $ZZ$, $\gamma \gamma$, $b \bar{b}$ and $\tau \bar{\tau}$ 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 MoSe2_2: 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$_2$ and studied its electronic properties with electrocatalytic activities. Pt-atom has been doped in the pristine 2D MoSe$_2$ to activate the inert basal plane resulting zero bandgap. This study reveals that the Pt-MoSe$_2$ 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$_2$ and Pt-MoSe$_2$. 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-Mo$_9$Se${21}$ cluster model. The present study shows that the 2D Pt-MoSe$_2$ 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$_2$ 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$_2$ 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