Integration-free Learning of Flow Maps

We present a method for learning neural representations of flow maps from time-varying vector field data. The flow map is pervasive within the area of flow visualization, as it is foundational to numerous visualization techniques, e.g. integral curve computation for pathlines or streaklines, as well as computing separation/attraction structures within the flow field. Yet bottlenecks in flow map computation, namely the numerical integration of vector fields, can easily inhibit their use within interactive visualization settings. In response, in our work we seek neural representations of flow maps that are efficient to evaluate, while remaining scalable to optimize, both in computation cost and data requirements. A key aspect of our approach is that we can frame the process of representation learning not in optimizing for samples of the flow map, but rather, a self-consistency criterion on flow map derivatives that eliminates the need for flow map samples, and thus numerical integration, altogether. Central to realizing this is a novel neural network design for flow maps, coupled with an optimization scheme, wherein our representation only requires the time-varying vector field for learning, encoded as instantaneous velocity. We show the benefits of our method over prior works in terms of accuracy and efficiency across a range of 2D and 3D time-varying vector fields, while showing how our neural representation of flow maps can benefit unsteady flow visualization techniques such as streaklines, and the finite-time Lyapunov exponent

RESILIENCE FACTORS IN SALES WORKERS: SOCIAL COMMUNICATIONS, SOCIAL CHANGE, AND SOCIAL ENGAGEMENT

Employee of any organization starts his/her recognitions from the society that ultimately reach the organization, where he/she earns the livelihood. So, the resiliency of an employee (sales-force of any commercial organization in this study) should be understood on the touch-points of salesemployee with society. On this context, the main purpose of this study is to explore the strategic relationships of social communication, social change, and social engagement of the sales-employees to build the concerned employees’ resiliency. With the descriptive research design, this research-work is intended to study the above said relationship by extensive literature review. Major outcomes of this study refer that social communication in varying level makes the employee of an organization engage with the social activities and simultaneously develop the psychological adjustment of the concerned sales-employee towards social change. Finally, the social engagement and self-accommodation to the social change build the resilient sales-force of the concerned retail organization. A conceptual model is developed that justifies the above outcomes, which is the major contribution or novelty of this study. Thus, the industrial implication of the said outcomes is that any commercial organization should develop the social orientation of their sales-force by developing their social communication continuously, which in turn enables the concerned sales-employees for better adoptability to any social changes, for insulate themselves for adverse social (market) conditions, and for productive social engagement in the marketing orientations. The said causal relationship ultimate give the return to the organization in the form of resilient sales-force. And, social implication refers that the society will be aware of the truth regarding the functioning of sales-functions of organization in the context of social contribution of those organizations

Challenges and opportunities in 2D heterostructures for electronic and optoelectronic devices

Two-dimensional (2D) materials such as graphene, transition metal dichalcogenides (TMDs), and their heterojunctions are prospective materials for future electronics, optoelectronics, and quantum technologies. Assembling different 2D layers offers unique ways to control optical, electrical, thermal, magnetic, and topological phenomena. Controlled fabrications of electronic grade 2D heterojunctions are of paramount importance. Here, we enlist novel and scalable strategies to fabricate 2D vertical and lateral heterojunctions, consisting of semiconductors, metals, and/or semimetals. Critical issues that need to be addressed are the device-to-device variations, reliability, stability, and performances of 2D heterostructures in electronic and optoelectronic applications. Also, stacking order-dependent formation of moir\ue9 excitons in 2D heterostructures are emerging with exotic physics and new opportunities. Furthermore, the realization of 2D heterojunction-based novel devices, including excitonic and valleytronic transistors, demands more extensive research efforts for real-world applications. We also outline emergent phenomena in 2D heterojunctions central to nanoelectronics, optoelectronics, spintronics, and energy applications

Manipulation of exciton and trion quasiparticles in monolayer WS2 via charge transfer

Charge doping in transition metal dichalcogenide is currently a subject of high importance for future electronic and optoelectronic applications. Here, we demonstrate chemical doping in the CVD-grown monolayer (1L) of WS2 by a few commonly used laboratory solvents by investigating the room temperature photoluminescence (PL). The appearance of distinct trionic emission in the PL spectra and quenched PL intensities suggests n-type doping in WS2. The temperature-dependent PL spectra of the doped 1L-WS2 reveal a significant enhancement of trions emission intensity over the excitonic emission at low temperature, indicating the stability of trion at low temperature. The temperature-dependent exciton-trion population dynamic has been modeled using the law of mass action of trion formation. These results shed light on the solution-based chemical doping in 1L-WS2 and its profound effect on the photoluminescence which is essential for the control of optical and electrical properties for optoelectronic applications

Estimation of genetic parameters of weekly test-day milk yields and first lactation 305-day milk yield in Murrah buffaloes

. How to cite this article: Sahoo SK, Singh A, Gupta AK, Chakravarty AK, Singh M, Ambhore GS (2014) Estimation of genetic parameters of weekly test-day milk yields and first lactation 305-day milk yield in Murrah buffaloes, Veterinary World 7(12): 1094-1098. Abstract Aim: The aim was to estimate genetic parameters of weekly test-day (TD) milk yields and first lactation 305-day milk yield (FL305DY) in Murrah buffaloes. Materials and Methods: The data on 39059 weekly test-day milk yield (WTDY) records during first lactation of 961 Murrah buffaloes calved from 1977 to 2012 and sired by 101 bulls maintained in an organized farm at National Dairy Research Institute, Karnal was analyzed to study the effect of genetic and non-genetic factors. Least squares maximum likelihood program was used to estimate genetic and non-genetic parameters affecting WTDY and FL305DY. Heritability was estimated using paternal half-sib correlation method. The genetic and phenotypic correlations among WTDY and 305-day milk yield was calculated from the analysis of variance and covariance among sire groups. Results: The least squares means for FL305DY was found to be 1853.49±15.88 Kg. The least squares means of overall WTDY ranged from 2.44±0.07 kg (TD-43) to 7.95±0.06 kg (TD-8). Effect of period, season and age at first calving groups was found to be highly significant (p<0.01), significant (p<0.05) and non-significant on FL305DY, respectively. The h 2 estimate of FL305DY was 0.25±0.09. The estimates of phenotypic and genetic correlations between 305-day milk yield and different WTDY ranged from 0.52 to 0.84 and from 0.19 to 0.98, respectively. Conclusions: Our study showed that the effect of period of calving was highly significant (p<0.01) on FL305DY as well as all the WTDY. The estimates of phenotypic and genetic correlations were generally higher in the middle segment of lactation suggesting that these TD yields could be used as the selection criteria for early evaluation and selection of animals

Cold cathode emission studies on topographically modified few layer and single layer MoS2 films

Nanostructured materials, such as carbon nanotubes, are excellent cold cathode emitters. Here, we report comparative field emission (FE) studies on topographically tailored few layer MoS2films consisting of ⟨0001⟩ plane perpendicular (⊥) to c-axis (i.e., edge terminated vertically aligned) along with planar few layer and monolayer (1L) MoS2films. FE measurements exhibited lower turn-on field Eto (defined as required applied electric field to emit current density of 10 μA/cm2) ∼4.5 V/μm and higher current density ∼1 mA/cm2, for edge terminated vertically aligned (ETVA) MoS2films. However, Eto magnitude for planar few layer and 1L MoS2films increased further to 5.7 and 11 V/μm, respectively, with one order decrease in emission current density. The observed differences in emission behavior, particularly for ETVA MoS2 is attributed to the high value of geometrical field enhancement factor (β), found to be ∼1064, resulting from the large confinement of localized electric field at edge exposed nanograins. Emission behavior of planar few layers and 1L MoS2films are explained under a two step emission mechanism. Our studies suggest that with further tailoring the microstructure of ultra thin ETVA MoS2films would result in elegant FE properties

Occipital neuralgia in lung carcinoma: A rare clinical scenario case report

Occipital neuralgia is an uncommon cause of pain over occipital region. When occipital nerves are affected due to osteogenic / vasculogenic / neurogenic causes it is manifested as a sharp shooting or stabbing type of pain over the occipital region of scalp, often progressing to involve the vertex and the temporal region as well. Use and withdrawal of variety of drugs result in headache. The role of any chemotherapeutic drug, as a causative agent for occipital neuralgia, has not been described in literature so far. We are reporting a rare case of occipital neuralgia precipitated while on combination chemotherapy regimen in lung carcinoma