The Persistence and Transition of Rural Poverty in Pakistan: 1998-2004

This study has used two rounds of the two panel data sets to examine the poverty dynamics in rural Pakistan (Sindh and Punjab). The Pakistan Socio- Economic Survey (PSES ) covers two periods, 1998 and 2000, while the Pakistan Rural Household Survey (PRHS) covers the 2001 and 2004 period. More than one-fifth of the households were chronically poor in the PSES rounds , and 11 percent in the PRHS rounds. Further, both chronic and transitory poverty are higher in Sindh and southern Punjab than in centra l and northern Punjab. Illiteracy, household size, dependency ratio, lack of livestock, landlessness, lack of ownership of dwellings, and health expenditure are the factors responsible for aggravating long-term poverty. The higher incidence of transitory poverty in rural Sindh and southern Punjab indicates the impact of large investments made in the public sector to raise the living standards there to the level of the better-off regions.Poverty, Chronic Poverty, Household Panel Datasets, Rural Pakistan

The vector algebra war: a historical perspective

There are a wide variety of different vector formalisms currently utilized in engineering and physics. For example, Gibbs' three-vectors, Minkowski four-vectors, complex spinors in quantum mechanics, quaternions used to describe rigid body rotations and vectors defined in Clifford geometric algebra. With such a range of vector formalisms in use, it thus appears that there is as yet no general agreement on a vector formalism suitable for science as a whole. This is surprising, in that, one of the primary goals of nineteenth century science was to suitably describe vectors in three-dimensional space. This situation has also had the unfortunate consequence of fragmenting knowledge across many disciplines, and requiring a significant amount of time and effort in learning the various formalisms. We thus historically review the development of our various vector systems and conclude that Clifford's multivectors best fulfills the goal of describing vectorial quantities in three dimensions and providing a unified vector system for science.Comment: 8 pages, 1 figure, 1 tabl

Generalised Minkowski spacetime

The four dimensional spacetime continuum, as first conceived by Minkowski, has become the default framework within which to describe physical laws. In this paper, we show how a four-dimensional Minkowski spacetime structure naturally arises from three-dimensional physical space when modeled with Clifford geometric algebra $C\ell(\Re^3)$. This expanded eight-dimensional framework allows a generalisation of the invariant interval and the Lorentz transformations. Also, with this geometric oriented approach the fixed speed of light, the laws of special relativity and the form of Maxwell's equations, arise naturally from the intrinsic properties of the algebra without recourse to physical arguments. We also find new insights into the nature of time, a unified treatment of energy-momentum and spin, a Lagrangian unifying gravity and electromagnetism as well as predictions of a new class of physical effects and interactions.Comment: 20 pages, no figure

Spherically Symmetric Gravitational Collapse

In this paper, we discuss gravitational collapse of spherically symmetric spacetimes. We derive a general formalism by taking two arbitrary spherically symmetric spacetimes with $g_{00}=1$. Israel's junction conditions are used to develop this formalism. The formulae for extrinsic curvature tensor are obtained. The general form of the surface energy-momentum tensor depending on extrinsic curvature tensor components is derived. This leads us to the surface energy density and the tangential pressure. The formalism is applied to two known spherically symmetric spacetimes. The results obtained show the regions for the collapse and expansion of the shell.Comment: 12 pages, 4 figures, accepted for publication in Mod. Phys. Lett.

Skillbot: A Conversational Chatbot based Data Mining and Sentiment Analysis

With the advent of technology, Artificial Intelligence is emerging exponentially. Using this advancement, chatbots are widely used in various sectors to accommodate users with their queries without waiting. In this study, work in the development, training, improvement, and chat sentiment analysis of Skillbot Chatbot is performed. First, the data was scrapped using tools like the GPT2 model from the Gov. UK website, and that data was used to train intents for the Skillbot model. After successful training, testing, and evaluation of Skillbot for better performance, conversations of users were analyzed deeply. Sentiment analysis was also performed as it is important to train the Skillbot to efficiently respond to users. Then, this project was deployed on Streamlit named Conversation Analyzer. Analysis was performed using different technologies like Natural Languages processing, Vader model for sentiment analysis, TextBlob for topic modeling of conversations, Streamlit for visualization, Rasa, Artificial Intelligence, and machine learning. Chatbot training with cleaned data and conversation analysis would be very beneficial for Skillbot to give users better services. The findings with massive data wrangling, model training for Skillbot, and chat analysis would provide results’ evaluations with successful and unsuccessful dialogues with insights to help warrant future research and Skillbot improvemen

SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation

Creating accurate, closed-domain, and machine learning-based chatbots that perform language understanding (intent prediction/detection) and language generation (response generation) requires significant datasets derived from specific knowledge domains. The common challenge in developing a closed-domain chatbot application is the lack of a comprehensive dataset. Such scarcity of the dataset can be complemented by augmenting the dataset with the use of state- of-the-art technologies existing in the field of Natural Language Processing, called ‘Transformer Models’. Our applied computing project experimented with a ‘Generative Pre-trained Transformer’ model, a unidirectional transformer decoder model for augmenting an original dataset limited in size and manually authored. This model uses unidirectional contextual representation i.e., text input is processed from left to right while computing embeddings corresponding to the input sentences. The primary goal of the project was to leverage the potential of a pre-trained transformer-based language model in augmenting an existing, but limited dataset. Additionally, the idea for using the model for text generation and appending the generated embedding to the input embedding supplied was to preserve the intent for the augmented utterances as well as to find a different form of expressions for the same intent which could be expressed by the potential users in the future. Our experiment showed improved performance for understanding language and generation for the chatbot model trained on the augmented dataset indicating that a pre-trained language model can be beneficial for the effective working of natural language-based applications such as a chatbot model trained on the augmented dataset indicating that a pre-trained language model can be beneficial for the effective working of natural language-based applications such as a chatbo

Diffusion constant of supercharge density in N=4 SYM at finite chemical potential

We compute holographically the diffusion constant of supercharges in N=4 SYM at finite chemical potential for the R-charge, by solving the equations of motion for the transverse mode of the gravitino in the STU black hole in 5 dimensions. We consider the case of one charge and three charges, and we present analytical solutions for small values of the charges and numerical solutions for arbitrary values. We compare our results with other known results in 4 dimensions.Comment: 20 pages, 4 figures; v2: typos correcte

Supersymmetric hydrodynamics from the AdS/CFT correspondence

We compute holographically the dispersion relation for a hydrodynamic mode of fluctuation (the phonino) of the density of supersymmetry current in N = 4 SYM at strong coupling. The mode appears as a pole at low frequency and momentum in the correlator of supercurrents. It has a wave-like propagation, and we find its speed and coefficient of attenuation.Comment: 17 page