TeV scale Left Right Symmetry with spontaneous D-parity breaking

The different scenarios of spontaneous breaking of D-parity have been studied in both non-supersymmetric and supersymmetric version of the left-right symmetric models(LRSM). We explore the possibility of a TeV scale $SU(2)_R$ breaking scale $M_R$ and hence TeV scale right handed neutrinos from both minimization of the scalar potential as well as the coupling constant unification point of view. We show that although minimization of the scalar potential allows the possibility of a TeV scale $M_R$ and tiny neutrino masses in LRSM with spontaneous D-parity breaking, the gauge coupling unification at a high scale $\sim 10^{16}$ GeV does not favour a TeV scale symmetry breaking except in the supersymmetric left-right (SUSYLR) model with Higgs doublet and bidoublet. The phenomenology of neutrino mass is also discussed.Comment: 26 pages, 3 figures, Journal Versio

Anxiety Depression and Burden among the Caregivers of Persons with Neurological Illness

Background: Studies have shown that caregivers of the persons with neurological illness have high levels of psychological distress, depression and caregiver’s burden. The aim of the study was to find out anxiety, depression and caregiver’s burden among the caregivers of persons with neurological illness (PWNI). Method: Thirty caregivers of PWNI attending the Centre of Rehabilitation Sciences, LGB Regional Institute of Mental Health, Tezpur, Assam were selected using purposive sampling technique for the present study. Socio-demographic and clinical data sheet, Zarit Burden Interview Scale and The Hospital Anxiety and Depression Scale were used. Results: The results shown that in Hospital Anxiety and Depression Scale, 26.6% of the caregivers’ scores were in the abnormal range in the domain of depression. While in the domain of anxiety, 16.6% scored in the abnormal range. In Zarit Burden of Scale, 13.3% of the caregivers were having little or no burden, 26.6% of the caregivers were having mild to moderate level of burden, 20% were having moderate to severe burden and 30% were having a severe burden of care. Care burden has significant positive correlation with depression (r= .124, p≤ 0.01 and anxiety (r= .124, p≤ 0.05). Conclusion: Caregivers of PWNI have been found to be at higher risk of mental health problems and care burden. The importance of addressing the burden of caregivers involved in the care of PWNI needs to be taken into consideration while providing treatment and rehabilitation of PWNI. Keywords: Anxiety, depression, burden, neurological illnes

Smartphone assisting convolutional neural networks for soil texture classification in dry and wet humid conditions in West Guwahati, Assam

Soil texture using a hydrometer or pipette method requires expertise, although these are accurate. A soil expert may help the farmer to detect the soil texture by analyzing the visual texture of the soil, which is not always accurate. This paper presents the smartphone image-based sand and clay soil classification in wet and dry humid conditions using Self Convolution Neural Network (SCNN) and finetuned MobileNet.A soil dataset of 576 soil images was prepared using a low-cost smartphone under natural light conditions. Different augmentation techniques such as shift, range, rotation, and zoom were applied to the soil dataset to increase the number of images in the soil dataset. The best performance of the MobileNet was reported at epoch 15 with a testing and training loss of 0.0091 and 0.0194, respectively. Though the SCNN model performed best at epoch 10 with a testing accuracy of 99.85%, the MobileNet reported less computation time (167.8s) than the SCNN (273.2s). The precision and recall of the models were 99.62 (MobileNet) and 99.84 (SCNN). The accuracy of the SCNN reported itself as the best model, whereas the computing time of the MobileNet reported itself as the best model in different humid conditions. The model can be used to replicate the traditional soil texture analysis method and the farmers can use it for better productivity

Effect of semi-solid heat treatment on elevated temperature plasticity of 304L stainless steel

The present work explores the potential of semi-solid heat treatment technique by elucidating its effect on the plastic behavior of 304L SS in hot working domain. To accomplish this objective, hot isothermal compression tests on 304L SS specimens with semi-solid heat treatment and conventional annealing heat treatment have been carried out within a temperature range of 1273-1473 K and strain rates ranging from 0.01 to 1 s(-1). The dynamic flow behavior of this steel in its conventional heat-treated condition and semi-solid heat-treated condition has been characterized in terms of strain hardening, temperature softening, strain rate hardening, and dynamic flow softening. Extensive microstructural investigation has been carried out to corroborate the results obtained from the analysis of flow behavior. Detailed analysis of the results demonstrates that semi-solid heat treatment moderates work hardening, strain rate hardening, and temperature sensitivity of 304L SS, which is favorable for hot deformation. The post-deformation hardness values of semi-solid heat-treated steel and conventionally heat-treated steel were found to remain similar despite the pre-deformation heat treatment conditions. The results obtained demonstrate the potential of semi-solid heat treatment as a pre-deformation heat treatment step to effectively reduce the strength of the material to facilitate easier deformation without affecting the post-deformation properties of the steel

Role of grain boundary ferrite layer in dynamic recrystallization of semi-solid processed type 304L austenitic stainless steel

A semi-solid processed steel with well arranged delta-ferrite layer around the austenite-solid globules is found to show different dynamic recrystallization (DRX) pattern compared to its conventionally processed counterpart with ferrite stringers across the austenite grains. Analysis of experimental results indicates that the presence of delta-ferrite layer around austenite-globules delays the nucleation of new DRX grains. On the other hand, with increase in temperature, the delta-ferrite layer contributes to increase in DRX fraction by restricting the grain growth of the austenite matrix prior to deformation. (C) 2016 Elsevier B.V. All rights reserved

Improved Loop Distribution in LLVM using Polyhedral Dependences

We propose a framework that can be used for improving loop-optimizations in LLVM using the Polyhedral framework of Polly. In our framework, we use the precise polyhedral dependences from Polly (provided by PolyhedralInfo), to construct a dependence graph, and perform loop transformations. As the first transformation case study of such a framework, we implemented loop distribution targeting improvement of inner-loop vectorization. Our loop distribution pass shows promising results on the TSVC benchmark; it is able to distribute 11 loops, while the earlier distribution pass is unable to distribute at all. We also have preliminary performance numbers from SPEC 2006. We believe that our work is the first step towards scalable and pre-defined loop-transformations in LLVM using exact dependences from Polly