Lambda hyperonic effect on the normal driplines

A generalized mass formula is used to calculate the neutron and proton drip lines of normal and lambda hypernuclei treating non-strange and strange nuclei on the same footing. Calculations suggest existence of several bound hypernuclei whose normal cores are unbound. Addition of Lambda or, Lambda-Lambda hyperon(s) to a normal nucleus is found to cause shifts of the neutron and proton driplines from their conventional limits.Comment: 6 pages, 4 tables, 0 figur

Folding model analysis of proton radioactivity of spherical proton emitters

Half lives of the decays of spherical nuclei away from proton drip line by proton emissions are estimated theoretically. The quantum mechanical tunneling probability is calculated within the WKB approximation. Microscopic proton-nucleus interaction potentials are obtained by single folding the densities of the daughter nuclei with M3Y effective interaction supplemented by a zero-range pseudo-potential for exchange along with the density dependence. Strengths of the M3Y interaction are extracted by fitting its matrix elements in an oscillator basis to those elements of the G-matrix obtained with the Reid-Elliott soft-core nucleon-nucleon interaction. Parameters of the density dependence are obtained from the nuclear matter calculations. Spherical charge distributions are used for calculating the Coulomb interaction potentials. These calculations provide reasonable estimates for the observed proton radioactivity lifetimes of proton rich nuclei for proton emissions from 26 ground and isomeric states of spherical proton emitters.Comment: 6 page

Productivity, Energy Use Efficiency and Economics of Organic Scented Rice Cultivation in Sub-Humid Agroecosystem

The increasing demand for organic cereals especially indigenous scented rice varieties in the recent years has peaked farmers’ interest towards its organic production. However, the threat of crop loss under organic cultivation has been holding back large scale initiatives. Inhana Rational Farming (IRF) Technology has come up as a promising organic package of practice towards mitigating this drawback of organic production that too at an affordable economics. The present study was conducted to generate scientific information regarding organic scented rice cultivation (Oryza sativa var. ‘Gobindobhog’) utilizing this organic POP in terms of productivity, energy use efficiency and economics. The yield of scented rice cultivated using organic POP was found to be 18% higher than the conventionally grown ones. In terms of energy use efficiency as well, organic POP was calculated to be more efficient signifying the role of organic practice in sustainable agriculture. Net profitability of organic paddy increased up to 17% with a minimum premium price of 25%. This increased higher income opportunity from same unit of land was an added benefit apart from improved soil quality in general; under organic management

Adaptation of Person Re-identification Models for On-boarding New Camera(s)

Existing approaches for person re-identification have concentrated on either designing the best feature representation or learning optimal matching metrics in a static setting where the number of cameras are fixed in a network. Most approaches have neglected the dynamic and open world nature of the re- identification problem, where one or multiple new cameras may be temporarily on-boarded into an ex- isting system to get additional information or added to expand an existing network. To address such a very practical problem, we propose a novel approach for adapting existing multi-camera re-identification frameworks with limited supervision. First, we formulate a domain perceptive re-identification method based on geodesic flow kernel that can effectively find the best source camera (already installed) to adapt with newly introduced target camera(s), without requiring a very expensive training phase. Second, we introduce a transitive inference algorithm for re-identification that can exploit the information from best source camera to improve the accuracy across other camera pairs in a network of multiple cameras. Third, we develop a target-aware sparse prototype selection strategy for finding an informative subset of source camera data for data-efficient learning in resource constrained environments. Our approach can greatly increase the flexibility and reduce the deployment cost of new cameras in many real-world dy- namic camera networks. Extensive experiments demonstrate that our approach significantly outperforms state-of-the-art unsupervised alternatives whilst being extremely efficient to compute

Modified Bethe-Weizsacker mass formula with isotonic shift and new driplines

Nuclear masses are calculated using the modified Bethe-Weizsacker mass formula in which the isotonic shifts have been incorporated. The results are compared with the improved liquid drop model with isotonic shift. Mass excesses predicted by this method compares well with the microscopic-macroscopic model while being much more simple. The neutron and proton drip lines have been predicted using this modified Bethe-Weizsacker mass formula with isotonic shifts.Comment: 9 pages including 2 figure

An Innovative Approach towards Organic Management of Late Blight in Potato under Inhana Rational Farming Technology

Successful disease combat of crop can ensure healthy return for the farmers. However, limitation in the conventional disease management approach, especially in case of late blight of potato was the background for the present study that aimed at bringing forth an alternative pathway for effective disease management. Integrated farming under Inhana rational farming technology (IRF) was adopted as an alternate protocol. The approach works on the philosophy of the Trophobiosis theory that advocates pest/disease management through plant physiology management. The study was done in two major potato growing zones of West Bengal taking two major potato varieties i.e., Kufri Jyoti and Kufri Chandramukhi. Late blight incidence varied from 2.82 to 7.91% in the IRF integrated farming plots whereas it was relatively higher varying between 49.44 and 66.67% in case of plots receiving conventional treatment. The finding remained consistent irrespective of the study area and potato variety. Ineffective disease management influenced the net loss of 2400 kg potato ha-1 under conventional farming. Percent disease index (PDI) was significantly high in case of conventional farmers’ practice (11.37 to 32.81). However, lower values (PDI varies 1.45 to 2.59) under IRF integrated farming showed the effectiveness of its disease management schedule. Efficient disease management under IRF technology might have been brought about through a focused approach towards activation of plant physiology in order to re-instate plants’ structural and biochemical defense mechanisms. The findings encourage the possibility of economically sustainable potato production under the changing climatic patterns

Fusion of 6^{6}Li with 159^{159}Tb} at near barrier energies

Complete and incomplete fusion cross sections for $^{6}$Li+$^{159}$Tb have been measured at energies around the Coulomb barrier by the $\gamma$-ray method. The measurements show that the complete fusion cross sections at above-barrier energies are suppressed by $\sim$34% compared to the coupled channels calculations. A comparison of the complete fusion cross sections at above-barrier energies with the existing data of $^{11,10}$B+$^{159}$Tb and $^{7}$Li+$^{159}$Tb shows that the extent of suppression is correlated with the $\alpha$-separation energies of the projectiles. It has been argued that the Dy isotopes produced in the reaction $^{6}$Li+$^{159}$Tb, at below-barrier energies are primarily due to the $d$-transfer to unbound states of $^{159}$Tb, while both transfer and incomplete fusion processes contribute at above-barrier energies.Comment: Phys. Rev. C (accepted

Evaluation of an Organic Package of Practice Towards Green Gram Cultivation and Assessment of its Effectiveness in Terms of Crop Sustainability and Soil Quality Development

Restoration of soil has been identified as the option; to ensure crop sustainability. However, as per Trophobiosis Theory of French Scientist F. Chaboussou, focus on development of healthy plants is necessary to abate pest and disease invasion so as to ensure sustained crop performance, even under unfavorable environmental conditions. The present study, in randomized block design with green gram as test crop; was undertaken in Krishi Vigyan Kendra (Howrah, West Bengal) to evaluate the effectiveness of Inhana Rational Farming (IRF) Technology towards crop yield and soil quality development under different sustainable models viz. organic cultivation, integrated soil with organic crop management and non- chemical crop management; as compared to conventional farming practice. Highest yield was recorded under organic (933 kg ha-1) followed by integrated (921 kg ha-1) and non- chemical plant management (902 kg ha-1). The results were well corroborated with the plant development index obtained under these treatments. Favorable trend of soil quality under sustainable models especially in terms of microbial properties indicated the role of quality compost towards speedy rejuvenation of soil dynamics. The study indicated that reduction of synthetic fertilizers and qualitative management of soil is essential to restrict yield decline. However, plant management shall be prerequisite for ensuring crop sustainability without any time lag and under the changing climatic patterns. In this respect the potential of IRF Technology has been well accounted

Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning

Most of the existing approaches for person re-identification consider a static setting where the number of cameras in the network is fixed. An interesting direction, which has received little attention, is to explore the dynamic nature of a camera network, where one tries to adapt the existing re-identification models after on-boarding new cameras, with little additional effort. There have been a few recent methods proposed in person re-identification that attempt to address this problem by assuming the labeled data in the existing network is still available while adding new cameras. This is a strong assumption since there may exist some privacy issues for which one may not have access to those data. Rather, based on the fact that it is easy to store the learned re-identifications models, which mitigates any data privacy concern, we develop an efficient model adaptation approach using hypothesis transfer learning that aims to transfer the knowledge using only source models and limited labeled data, but without using any source camera data from the existing network. Our approach minimizes the effect of negative transfer by finding an optimal weighted combination of multiple source models for transferring the knowledge. Extensive experiments on four challenging benchmark datasets with a variable number of cameras well demonstrate the efficacy of our proposed approach over state-of-the-art methods.Comment: Accepted to CVPR 202