Priyanka Goyal

Paras Hospitals

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Gurjit Kaur

Post Graduate Institute of Medical Education and Research

Pooja Soni

Panjab University

Poonam Bhaker

Paras Hospitals

Harsh Mohan

Paras Hospitals

Soumya Gupta

Homi Bhabha National Institute

Sunil Sanga

Paras Hospitals

Sudhansoo Khanna

Paras Hospitals

Brajesh Kumar Kaushik

Indian Institute of Technology Roorkee

Namita Kathpal

Manav Rachna International Institute of Research and Studies

Shaleen Rana

Paras Hospitals

Cooperative Institutions

Gautam Buddha University

Paras Hospitals

Manipal Academy of Higher Education

Post Graduate Institute of Medical Education and Research

University of Delhi

Government Medical College and Hospital

Galgotias University

Christian Medical College

Christian Medical College & Hospital

Vellore Institute of Technology University

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Incidentally detected Castleman disease of the thorax and its surgical management

Authorea (Authorea) (2024)

Sudhansoo Khanna Rana P. Singh Priyanka Goyal Harsh Mohan Poonam Bhaker

Castleman disease (CD) is a rare lymphoproliferative disorder, the etiology and pathogenesis of which is not clearly established. It presents more commonly as a localised disease or unicentric CD (UCD), and less often as generalised disease or multricentric CD (MCD). The most common site of UCD is in the thorax; however, UCD is rarely included in the differential diagnosis of an intrathoracic mass due to its rarity. The lesion is highly vascular and often has dense adhesions with adjacent organs, making the surgery a difficult task. We report a case of posterior mediastinal mass located in left paraspinal region which was detected incidentally in a 53-year old female and was subsequently resected successfully via left postero-lateral thoracotomy, and was diagnosed post-operatively on histopathological examination (HPE) as CD, hyaline vascular variant (HVV). We review the relevant clinical, pathological and radiological findings of CD, which may act as clinical pointers for establishing a preoperative diagnosis of CD. Suspecting CD preoperatively would guide the surgeon for appropriate surgical planning and may avoid facing such surprise on the operating table.

Thorax (insect anatomy)

10.22541/au.170669891.13692972/v1

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Advances and improvements in VCSEL designing

Priyanka Goyal Soumya Gupta Gurjit Kaur

In 50 years of research and development, VCSEL (Vertical-cavity surface-emitting lasers) photonics opened up number of applications in various fields. VCSEL being inexpensive, reliable, and readily manufacturable is one of the most compact laser light sources for generation of high intensity coherent light in — free space, optical fibers, board to board, on-chip optical interconnects, module to module and other information related system networks. This paper reviews the efficiency, thermal stability and temperature stability of VCSEL. Change in wavelength of VCSEL or VCSEL arrays is caused by changing the properties of periodic mirrors, cavity length and substrate material. Such changes enable us to manipulate the speed of light. Optical interconnects in data centers and supercomputers are the most attracting site of interest. VCSEL shows higher coupling efficiency into fibers due to having a circular beam cross section and a low output beam divergence angle. Due to high quality vertical light emission by the device, number of VCSEL lasers can be implemented on a single chip. A review of the potential of the device and the challenges faced in the functioning of VCSEL are also presented.

Vertical-cavity surface-emitting laser

10.1109/iceeot.2016.7755518

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EVALUATION OF IN-VITRO ANTIOXIDANT EFFECT OF SCHREBERA SWIETENIOIDES LEAF AQUEOUS EXTRACT

Journal of Pharmaceutical and Scientific Innovation (2020)

Priyanka Goyal Minha Raghave Anand B. Pithadia B. N. Suhagia

Aqueous extract

10.7897/2277-4572.092170

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Improved Design of Vertical Cavity Surface Emitting Laser for 3D Sensing in Internet of Things Applications

Advances in civil and industrial engineering book series (2019)

Priyanka Goyal Prachi Singh

Internet of things (IOT) and Vertical Cavity Surface Emitting Laser (VCSEL) future can be seen together, since VCSEL technology-based 3D sensors are introduced for IoT applications. The improved VCSEL structure design with fixed wavelength using a thermally actuated cantilever structure is presented. This improved structure of VCSEL will help us in realizing athermal VCSEL. In athermal VCSEL the dependency of VCSEL on temperature will be much less because it will not require temperature controllers. Realizing fully temperature-independent VCSEL (i.e., athermal VCSEL) is still a challenge but we can reduce it to some extent. In this chapter, recent diversification of application of VCSEL technology from data communication to sensing has been discussed. This proposed VCSEL structure may give us an opportunity to improve the VCSEL technology. Therefore, smart 3D sensors based on VCSEL will help in making internet of things applications more reliable and will directly or indirectly serve the concept of smart homes and smart cities.

Vertical-cavity surface-emitting laser

10.4018/978-1-5225-9754-4.ch003

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Design and Analysis of Low Power Level Shifter in IC Applications

International Journal of Computer Applications (2016)

Meenu Singh Priyanka Goyal Ajeet Kumar

In this paper, level Shifter circuit is analyzed which is efficient for converting low-voltage digital input signal into high-voltage digital output signal.The circuit has a diagnostic current generation device by using a logic error correction circuit that work by identifying the input and output logic level .When input signal changes, circuit produce low power operation only because it can dissipate power at the operating current.For the comparative analysis of this error correction Level Shifter different methodologies are used which named as biasing for the level Shifter.Result shows that the circuit converts a 0.4-V input signal to 3-V output signal.Simulation results are carried out by using 0.35μm CMOS technology.Power dissipation is 34nW for a 0.4V at 10 kHz input pulse.

Power analysis

10.5120/ijca2016909844

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Evaluation of AIIMS Modified INCLEN Tool for Diagnosis of Epilepsy

Indian Pediatrics (2022)

Priyanka Goyal Monika Sharma P Varughese

10.1007/s13312-023-2694-7

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Price Responses to Index Additions and Deletions: A Systematic Review with Bibliometric Analysis

Gyan Management Journal (2023)

Priyanka Goyal Pooja Soni

The present study aims to systematically review the research evidence available on the impact of additions and deletions of companies from various stock indices on their stock prices and provide directions for future research. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow diagram to select the final sample of 44 studies for systematic literature review using the Scopus database. These research studies have been reviewed subsequently to categorize, synthesize and map the extant literature using R studio. The study found that, on average, there is an increase in share prices of stocks being added to an index and stocks being excluded from the index evidenced negative abnormal returns. But the existing literature doesn’t provide conclusive evidence on whether these price effects are long or short-term. The study guides the investors, traders and other market participants regarding their long and short positions in the market and also provides future research directions to academicians.

Sample (material)

10.48165/gmj.2022.17.2.7

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Citations (2)

Performance of silicon micro ring modulator with an interleaved p-n junction for optical interconnects

Indian Journal of Pure & Applied Physics (2017)

Priyanka Goyal Gurjit Kaur

Figure of Merit

p–n junction

Modulation (music)

Source

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Sentiment Analysis of Movie Reviews in Hindi Language Using Machine Learning

2022 IEEE International Conference on Data Science and Information System (ICDSIS) (2022)

Tarun Jain Payal Garg Rimjhim Gupta Priyanka Goyal Namita Chalil

Sentiment analysis has become an important field in the last few years. By performing sentiment analysis of user reviews, news, blogs, etc. we gain a deeper understanding of the general opinion towards a movie, product, etc. Sentiment Analysis is a very valuable tool for organizations to understand the opinion of the public towards their product, service movie, etc. Rather than reading an entire post, blog, or review, Sentiment Analysis allows companies to know the general opinion about their product or movie by deducing the emotion present in the piece of text. Sentiment analysis identifies the keywords in a piece of text and determines the emotion contained in it. Several works have been carried out in the subject area of sentiment analysis on English but hardly any work on Hindi. Hindi is a widely spoken language with a growing number of speakers. The social media platforms too see a large number of reviews, blogs in Hindi. Due to the rising amount of web content in Hindi, there was a requirement to perform sentiment analysis on the Hindi language. We propose a system for sentiment analysis on Hindi by using the Bag of Words model and applying four Machine Learning models.

Sentiment Analysis

Microblogging

10.1109/icdsis55133.2022.9915961

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Citations (7)

Improved Two Stage Generative Adversarial Networks for Adversarial Example Generation with Real Exposure

Recent Advances in Computer Science and Communications (2023)

Priyanka Goyal Deepesh Singh

Introduction: Deep neural networks due to their linear nature are sensitive to adversarial examples. They can easily be broken just by a small disturbance to the input data. Some of the existing methods to perform these kinds of attacks are pixel-level perturbation and spatial transformation of images. Method: These methods generate adversarial examples that can be fed to the network for wrong predictions. The drawback that comes with these methods is that they are really slow and computationally expensive. This research work performed a black box attack on the target model classifier by using the generative adversarial networks (GAN) to generate adversarial examples that can fool a classifier model to classify the images as wrong classes. The proposed method used a biased dataset that does not contain any data of the target label to train the first generator Gnorm of the first stage GAN, and after the first training has finished, the second stage generator Gadv, which is a new generator model that does not take random noise as input but the output of the first generator Gnorm. Result: The generated examples have been superimposed with the Gnorm output with a small constant, and then the superimposed data have been fed to the target model classifier to calculate the loss. Some additional losses have been included to constrain the generation from generating target examples. Conclusion: The proposed model has shown a better fidelity score, as evaluated using Fretchet inception distance score (FID), which was up to 42.43 in the first stage and up to 105.65 in the second stage with the attack success rate of up to 99.13%.

Deep Neural Networks

Subtractive color

10.2174/2666255816666230608104148

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Citations (1)