Fake News Analysis and Graph Classification on a COVID-19 Twitter Dataset

Earlier researches have showed that the spread of fake news through social media can have a huge impact to society and also to individuals in an extremely negative way. In this work we aim to study the spread of fake news compared to real news in a social network. We do that by performing classical social network analysis to discover various characteristics, and formulate the problem as a binary classification, where we have graphs modeling the spread of fake and real news. For our experiments we rely on how news are propagated through a popular social media services such as Twitter during the pandemic caused by the COVID-19 virus. In the past, several other approaches classify news as fake or real by deploying various graph embedding techniques and deep learning techniques. In this project we focus on developing a dataset that contains tweets specific to COVID-19 by performing initially text mining on the content of the tweet. Further, we create graphs of the fake and real news along with their retweets and followers and work on the graphs. We perform social network analysis and compare their characteristics. We study the propagation of fake and real news among users using community detection algorithms on the graphs. Finally, we create a model by deploying the Weisfeiler Lehman graph kernel for graph classification on our labeled dataset. The model is able to predict whether a new article is real or fake based on how the corresponding graph of the retweets and followers are connected

An Institutional Framework for Meeting International Food-Safety Market Standards from a Developing-Country Perspective

This paper examines problems being faced by agribusiness firms in developing countries in meeting the food-safety standards imposed by importing countries in their respective markets. Based on existing institutional frameworks in developing countries such as India, it is suggested that in order to meet the prescribed standards in international markets there is a need to establish inter-linkages across different institutions not only within developing countries but also with respected international standard-setting organizations for better and smoother implementation of WTO measures related to international food-safety market standards.Food Consumption/Nutrition/Food Safety,

Prioritized Service Scheme with QoS Provisioning in a Cloud Computing System

A priority scheme is proposed in which the prioritized customers get guaranteed Quality of Service (QoS) by the cloud computing system in terms of lesser response time. The concept of selection probability is introduced according to which the cloud metascheduler chooses the next query for execution. The prioritized customers are categorized into different priority queues which are modeled as M/M/1/K/K queues and an analytical model is developed for the calculation of selection probabilities. Two algorithms are proposed for explaining the processing at the users’ end and at the cloud computing server’s end. The results obtained are validated using the numerical simulations

Transient Analysis of Photonic Networks

The behavior of slotted aloha protocol for a star-coupled Wavelength Division Multiple Access (WDMA) photonic network is studied. Semi-markov process is used for developing the steady state and transient models for the protocol. The performance of the network is evaluated in terms of various measures viz. average number of packets in the network, throughput of the network and average packet delay etc. The analytical models are validated by evaluating the numerical values of the performance indices, which are further compared by using Adaptive Neuro Fuzzy Inference System (ANFIS) approach. Keywords:Photonic networks, Slotted aloha, Semi-markov process, Neuro-fuzzy systems, Throughput.

A Review Paper on Video De-Interlacing Multiple Techniques

In this paper present video interlacing de-interlacing and various techniques. Focus on the different techniques of video De- Interlacing that are Intra Field, Inter Field, Motion Adaptive, Motion Compensated De- interlacing and Spatio-Temporal Interpolation. De- Interlaced video use the full resolution of each scan so produced high quality image and remove flicker problem. Techniques are work on the scan line of object Intra Field techniques use pixels of the moving object, Inter Field works on stationary regions of object, Motion Adaptive works on the edge of the Object and Motion Compensation focus video sequence and brightness variation. Advantage of using De-interlacing technique is: Better Moving object image, no flickers and high vertical resolution

A ray of happiness in the indian education system?

From the beginning of time, the meaning of education has been dynamic. It has changed from being defined as one's dharma in ancient times to being understood as ‘scientific thinking’ today. Mirrored in the Preamble to the Indian Constitution is the definition of an educated Indian: a person with scientific temperament and liberal outlook, who is capable of individual thinking. She will bring an era of new knowledge on the foundation of her observations, experimentation and reflection by being peaceful and happy (Liav Orgad, 2010, Heignotes, 2016). But is this dream, which the nation saw in 1947, being fulfilled 73 years after its independence

Insecticidal effects of aqueous extracts of wild pomegranate peel and seed (Punica granatum L.) against rose aphids, Macrosiphum rosaeformis

Efficacy of wild pomegranate (Punica granatum Linn.) fruit peel and seeds aqueous extract was evaluated for the control of common insect pests aphids (Macrosiphum rosaeformis) and for its influence on useful non-target predators viz., Coccinella septempunctata. Lethal doses of daru peel and seed suggested these became more toxic to aphids after 24 hr of exposure. A significant difference was obtained in percentage aphids reached to untreated leaves over peel extract treated leaves (23:57 and 23:77) and seed extract treated leaves (7:80 and 17:80) at 90 and 180 min time intervals in food choice assays. No significant effect was observed against Coccinella. LC50 values of daru peel and seed extracts along with mixture of three flavonoids (Kaempferol, Quercetin and Myricetin) were assessed at 48 hr values were 34.9, 4.7 and 0.6 mg/ml and at 72 hr these were 16.1, 0.000001 and 0.00001 mg/ml, respectively. In both the cases field bioassays showed affectivity till 7 DAT. Field data indicated that only X1(1 mg/ml) and X2 (0.1 mg/ml) concentrations of mixture were effective till 11 days after treatment. These are the first reports of the toxic effect of wild pomegranate (daru) fruit peel aqueous extract against M. rosaeformis, hence the study suggests possible usage of Punica granatum peel for the control of rose aphids

An Empirical Study of Ancient Wisdom. Effect of Anasakti (Non-Attachment) and Ahamkara (Ego) on Well-Being Amongst Indians

Introduction: According to Indian psychology, anasakti (non-attachment) and ahamkara (ego) play a significant role in determining true happiness. Aims: To study the role of anasakti (non-attachment) and ahamkara (ego) on the level of well-being amongst Indian adults. Methods: For the current study, 240 educated, urban Indian adults (Females = 104, Males = 136) were surveyed to investigate the relationship of anasakti (non-attachment) and ahamkara (ego) with well-being variables. Results: Anasakti (“non-attachment”) was revealed to be a significant factor in ensuring life satisfaction and experiencing positive emotions. Although ahamkara (“ego”) contributed significantly toward higher cognitive well-being and affective states, it better predicted negative emotions. Conclusions: The current study’s findings may widen our understanding of “What makes people happy?” and may add to the global well-being literature

Calculating spin transport properties from first principles: spin currents

Local charge and spin currents are evaluated from the solutions of fully relativistic quantum mechanical scattering calculations for systems that include temperature-induced lattice and spin disorder as well as intrinsic alloy disorder. This makes it possible to determine material-specific spin transport parameters at finite temperatures. Illustrations are given for a number of important materials and parameters at 300 K. The spin-flip diffusion length $l_{\rm sf}$ of Pt is determined from the exponential decay of a spin current injected into a long length of thermally disordered Pt; we find $l_{\rm sf}^{\rm Pt}= 5.3\pm0.4 \,$nm. For the ferromagnetic substitutional disordered alloy Permalloy (Py), we inject currents that are fully polarized parallel and antiparallel to the magnetization and calculate $l_{\rm sf}$ from the exponential decay of their difference; we find $l_{\rm sf}^{\rm Py}= 2.8 \pm 0.1 \,$nm. The transport polarization $\beta$ is found from the asymptotic polarization of a charge current in a long length of Py to be $\beta = 0.75 \pm 0.01$. The spin Hall angle $\Theta_{\rm sH}$ is determined from the transverse spin current induced by the passage of a longitudinal charge current in thermally disordered Pt; our best estimate is $\Theta_{\rm sH}^{\rm Pt}=4.5 \pm 1 \%$ corresponding to the experimental room temperature bulk resistivity $\rho =10.8 \mu \Omega \,$cm.Comment: 21 pages, 14 figure

Improving Spoken Language Identification with Map-Mix

The pre-trained multi-lingual XLSR model generalizes well for language identification after fine-tuning on unseen languages. However, the performance significantly degrades when the languages are not very distinct from each other, for example, in the case of dialects. Low resource dialect classification remains a challenging problem to solve. We present a new data augmentation method that leverages model training dynamics of individual data points to improve sampling for latent mixup. The method works well in low-resource settings where generalization is paramount. Our datamaps-based mixup technique, which we call Map-Mix improves weighted F1 scores by 2% compared to the random mixup baseline and results in a significantly well-calibrated model. The code for our method is open sourced on https://github.com/skit-ai/Map-Mix.Comment: Accepted at ICASSP 202