Quenching and generation of random states in a kicked Ising model

The kicked Ising model with both a pulsed transverse and a continuous longitudinal field is studied numerically. Starting from a large transverse field and a state that is nearly an eigenstate, the pulsed transverse field is quenched with a simultaneous enhancement of the longitudinal field. The generation of multipartite entanglement is observed along with a phenomenon akin to quantum resonance when the entanglement does not evolve for certain values of the pulse duration. Away from the resonance, the longitudinal field can drive the entanglement to near maximum values that is shown to agree well with those of random states. Further evidence is presented that the time evolved states obtained do have some statistical properties of such random states. For contrast the case when the fields have a steady value is also discussed.Comment: 7 pages, 7 figure

Unified dark fluid in Brans-Dicke theory

Anisotropic dark energy cosmological models are constructed in the frame work of generalised Brans-Dicke theory with a self interacting potential. Wet dark fluid characterized by a linear equation of state is considered as the source of dark energy. Shear scalar is considered to be proportional to the expansion scalar simulating an anisotropic relationship among the directional expansion rates. The dynamics of the universe in presence of wet dark fluid in anisotropic background have been discussed. The presence of evolving scalar field makes it possible to get accelerating phase of expansion even for a linear relationship among the directional Hubble rates. It is found that, the anisotropy in expansion rates does not affect the scalar field, self interacting potential but it controls the non-evolving part of the Brans- Dicke parameter.Comment: 27 pages, 8 figures, to appear in Eur. Phys. J.

Size-dependent magnetization fluctuations in NiO nanoparticles

The finite size and surface roughness effects on the magnetization of NiO nanoparticles is investigated. A large magnetic moment arises for an antiferromagnetic nanoparticle due to these effects. The magnetic moment without the surface roughness has a non-monotonic and oscillatory dependence on $R$, the size of the particles, with the amplitude of the fluctuations varying linearly with $R$. The geometry of the particle also matters a lot in the calculation of the net magnetic moment. An oblate spheroid shape particle shows an increase in net magnetic moment by increasing oblateness of the particle. However, the magnetic moment values thus calculated are very small compared to the experimental values for various sizes, indicating that the bulk antiferromagnetic structure may not hold near the surface. We incorporate the surface roughness in two different ways; an ordered surface with surface spins inside a surface roughness shell aligned due to an internal field, and a disordered surface with randomly oriented spins inside surface roughness shell. Taking a variational approach we find that the core interaction strength is modified for nontrivial values of $\Delta$ which is a signature of multi-sublattice ordering for nanoparticles. The surface roughness scale $\Delta$ is also showing size dependent fluctuations, with an envelope decay $\Delta\sim R^{-1/5}$. The net magnetic moment values calculated using spheroidal shape and ordered surface are close to the experimental values for different sizes.Comment: 19 pages, 8 figures, Accepted for publication in Int. J. Mod. Phys.

Qubit(s) transfer in helical spin chains

Qubit(s) transfer through a helical chain is studied. We consider the transfer of a single state and Bell states across a multiferroic spin chain and the possibility of an electric field control of the fidelity of the single state and the Bell pairs. We analyze pure and imperfect multiferroic spin chains. A scheme for an efficient transfer of spin states through a multiferroic channel relies on kicking by appropriate electric field pulses at regular interval. This electric field pulse sequence undermines the effect of impurity on the fidelity and improves the state transfer through the helical chain.Comment: 7 pages, 10 figure

Three-level spin system under decoherence-minimizing driving fields: Application to nitrogen-vacancy spin dynamics

Within the framework of a general three-level problem, the dynamics of the nitrogen-vacancy (NV) spin is studied for the case of a special type of external driving consisting of a set of continuous fields with decreasing intensities. Such a set has been proposed for minimizing coherence losses. Each new driving field with smaller intensity is designed to protect against the fluctuations induced by the driving field at the preceding step with larger intensity. We show that indeed this particular type of external driving minimizes the loss of coherence, using purity and entropy as quantifiers for this purpose. As an illustration, we study the coherence loss of an NV spin due to a surrounding spin bath of $^{13}$C nuclei.Comment: 10 pages, 8 figures, to be published in Phys. Rev.

Integration of Digital Technology in Academics

The report aims to identify level of technological integration in academics. Digital literacy enhances learning and knowledge of learners. The benefits of digital literacy are evident in the students’ progress. Active learning is obtained through digital technology as well as literacy enhancement. Considering these benefits, an analysis of technology integration is conducted. The analysis reveals that desired level of technology integration is not achieved in academics. There are several barriers of poor technology integration. Poor technological infrastructure, budget deficit and poor access to technological resources are identified. Lack of time to devote learning of technological competencies is also reported by the analysis. Lack of resources, limited access, insufficient knowledge and skills of teachers and support staffs, lack of support from administrative and teachers, as well as other factors are found responsible for poor technological integration in academics. Institutional barriers are also identified as barriers such as poor leadership or structure of academic institutions. Leader’s inability to understand relevance of technology for learning is a major hindrance. In assessment, teachers do not have sufficient time to implement technology thus they do not use the technological aspects fruitfully. Lack of professional development of the teachers is also a barrier. Many teachers and supportive staff want to maintain the status quo and do not feel that technology integration is required. Such attitudes also prevent technology integration in the academic institutions. Thus, several recommendations are provided by the report such as providing professional development opportunities to the teachers, creating a shared vision, involving stakeholdes, findings cheaper alternatives for digital tools use, seeking grants and funds from government and private organizations, addressing resistance to change by providing training regarding benefits of technology adaption in the classroom etc. the recommendations also include rotating classes and students in groups for collaborative learning, appointing students helpers, allotting more times to the teachers for technological competencies, arranging regular meetings for technology integration, addressing issues of lack of resources, etc. These recommendations can help the academic institutions to integrate technology well in academic

Feed Forward Artificial Neural Network: Tool for Early Detection of Ovarian Cancer

Pathological changes in an organ or tissue may be reflected in proteomic patterns in serum. The early detection of cancer is crucial for successful treatment. Some cancers affect the concentration of certain molecules in the blood, which allows early diagnosis by analyzing the blood mass spectrum. It is possible that exclusive serum proteomic patterns could be used to differentiate cancer samples from non-cancer ones. Several techniques have been developed for the analysis of mass-spectrum curve, and use them for the detection of prostate, ovarian, breast, bladder, pancreatic, kidney, liver, and colon cancers. In present study, we applied data mining to the diagnosis of ovarian cancer and identified the most informative points of the mass-spectrum curve, then used student t-test and neural networks to determine the differences between the curves of cancer patients and healthy people. Two serum SELDI MS data sets were used in this research to identify serum proteomic patterns that distinguish the serum of ovarian cancer cases from non-cancer controls. Statistical testing and genetic algorithm-based methods are used for feature selection respectively. The results showed that (1) data mining techniques can be successfully applied to ovarian cancer detection with a reasonably high performance; (2) the discriminatory features (proteomic patterns) can be very different from one selection method to another

Prevalence and presentation of cutaneous lesions in healthy neonates: A single-center study from Eastern India

Background: Skin lesions are much common and specific to neonates. They vary according to age, sex, and geographic region. Objectives: The objective of this study was to determine the prevalence of different cutaneous lesions in newborns and their association with the type of delivery, age, sex, and maturity. Materials and Methods: This study was done in neonatal follow-up clinic of department of Pediatrics, Maharaja Krushna Chandra Gajapati Medical College, Berhampur, Odisha. All the healthy newborns coming to the OPD from January 2015 to December 2016 were included in this prospective study, and their details were recorded in case recording format after taking informed consent from their guardians. Admitted patients were excluded from the study. Statistical assessments were the done by SPSS software. Results: Out of 500 neonates, skin lesionswere found in 366 (73.2%) patients. Physiological cutaneous lesions were most common, consisting 259 (70.7%) neonates. Out of the physiological lesions, benign transient lesions were seen in 163 (44.6%), out of which 95 (25.9%) had papulopustular dermatoses followed by erythema toxicum in 48 (13.1%) cases. Birthmarks were seen in 138 (37.8%) cases; pigmentary birthmarks 89 (24.5%) being the most common birthmarks followed by Mongolian spots in 71 (19.4%) cases. Pathological lesions were seen in 107 (29.3%) cases, of which nappy rash was detected in 65 (18.01%) cases. Term and male babies had a higher incidence of skin lesions. Conclusion: Benign lesions are the most common group of neonatal cutaneous manifestations which is followed by birthmarks. Conditions such as nappy rash and contact dermatitis are common pathological lesions andmajority of them are preventable. Differentiation of the physiologic skin lesions from the pathologic ones is essential to avoid unnecessary therapeutic interventions.&nbsp

Implications of Social Media and Socio-Economic Activities on Micro and Small Enterprises in India

Purpose: The purpose of this research is to examine the implications of social media and socio-economic activities on micro and small enterprises in India.   Theoretical framework: The study will be based on the theories of social capital, network effects, and digital divide.   Design/methodology/approach: The research will be conducted using a mixed-methods approach, including both qualitative and quantitative data collection methods. Surveys and interviews will be conducted with micro and small enterprise owners in India to gather data on their use of social media and their socio-economic activities.   Findings: The findings of the study will explore the ways in which social media and socio-economic activities impact the growth and success of micro and small enterprises in India. This includes the potential for increased connectivity and networking opportunities, as well as the potential for digital divide and limited access to resources.   Research, practical and social implications: The research will have implications for policymakers and small business owners in India, as it will provide insight into the potential benefits and challenges of using social media for small business growth and success. It will also contribute to the broader literature on the impact of digital technologies on small businesses in developing countries.   Originality/value: This study fills a gap in the literature by focusing on the specific context of micro and small enterprises in India, and by using a mixed-methods approach to explore the implications of social media and socio-economic activities on these businesses