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Institution

Amity University

EducationNoida, India
About: Amity University is a(n) education organization based out in Noida, India. It is known for research contribution in the topic(s): Population & Cloud computing. The organization has 7827 authors who have published 12742 publication(s) receiving 86037 citation(s).
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Journal ArticleDOI
Abstract: Work from home (or remote working) has become the new normal ever since the pandemic hit the world. This new normal, which represents the unison of social and technical assemblage, has been used as a backdrop in the study to explore the nature of employee job behaviour and its impact on job satisfaction. The sample consisted of employees who are working remotely from their homes in the information technology sector. The Cronbach alpha of the questionnaire was found to be .862. The results indicate that dimensions of employee job behaviour like enhanced work association, need for interaction for information exchange, and increased work responsibility were found to be highly correlated in the backdrop of work from home. Further, employee job behaviour was found to be significantly impacting job satisfaction of employees in the backdrop of work from home. Copyright © 2022, IGI Global.

Journal ArticleDOI
Abstract: The paper aims to analyse the impact of the COVID outbreak on the currency market. The study considers spot rates of seven major currencies (i.e., EUR/USD, USD/JPY, GBP/USD, AUD/USD, USD/CAD, USD/CHF, and CHF/JPY). To capture the impact of the outbreak on returns and the volatility of returns of seven currencies during pandemic, the study has segregated in two window periods (i.e., pre- [1st Jan 2019 to 31st Dec, 2019] and post-outbreak of COVID-19 [1st Jan, 2020 to 22nd Dec, 2020]). The study has applied various methods and models (i.e., econometric-based compounded annual growth rate [CAGR], dummy variable regression, and generalized autoregressive conditional heteroskedasticity [GARCH]). The result of the study captures the negative impact of the COVID-19 pandemic on three currencies-USD/JPY, AUD/USD, and USD/CHF-and positive significant impact on EUR/USD, GBP/USD, USD/CAD, and CHF/JPY. Investors can take short position in these while having long position in other currencies. The inferences drawn from the analysis are providing insight to investors and hedgers. Copyright © 2022, IGI Global.

Journal ArticleDOI
Abstract: The novel Covid-19 is one of the leading cause of death worldwide in the year 2020 and declared as a pandemic by world health organization (WHO). This virus affecting all countries across the world and 5 lakh people die as of June 2020 due to Covid-19. Due to the highly contagious nature, early detection of this virus plays a vital role to break Covid chain. Recent studies done by China says that chest CT and X-Ray image may be used as a preliminary test for Covid detection. Deep learning-based CNN model can use to detect Coronavirus automatically from the chest X-rays images. This paper proposed a transfer learning-based approach to detect Covid disease. Due to the less number of Covid chest images, we are using a pre-trained model to classify X-ray images into Covid and Normal class. This paper presents the comparative study of a various pre-trained model like VGGNet-19, ResNet50 and Inception_ResNet_V2. Experiment results show that Inception_ResNet_V2 gives the better result as compare to VGGNet and ResNet model with training and test accuracy of 99.26 and 94, respectively.

Journal ArticleDOI
Abstract: The study investigated the rheological, microstructural and functional properties of α-, γ- and ω-gliadins. Crude gliadin was subjected to cation exchange fast protein liquid chromatography and eluted individual gliadins in 17 peaks. NanoLC Electrospray ionization coupled MS-MS analysis revealed the identity of polypeptides from selected peaks as α-, α/β-, and γ-gliadins with high PLGS (ProteinLynx Global SERVER™) score. Inclusion of 1% (w/w) total gliadin containing, α-, γ- and ω-gliadins to base flour decreased dough development time and stability, while increased peak resistance and dough softening. The addition of gliadins improved the loaf volume of bread. DSC revealed multiple peak denaturation temperatures (Tp) for gluten, α- and γ-gliadins whereas, single peak for gliadins and ω-gliadins. The enthalpies of denaturation (ΔH) for gliadin and its purified α-, γ-, and ω-gliadin fraction were higher than gluten. Scanning electron micrographs (SEM) displayed collateral relationship among dough microstructure and mixing characteristics of these elements. These findings provided insight into the functionality of purified gliadins and potential use in the development of different food products.

Journal ArticleDOI
Utkarsh Jain1, Kirti Saxena1, Vinita Hooda, Sapna Balayan1  +3 moreInstitutions (1)
Abstract: Organophosphates and carbamates pesticides are widely used to increase crop production globally causing a threat to human health and the environment. A variety of pesticides are applied during different stages of vegetable production. Therefore, monitoring the presence of pesticide residues in food and soil has great relevance to sensitive pesticide detection through distinct determination methods that are urgently required. Conventional techniques for the detection of pesticides have several limitations that can be overcome by the development of highly sensitive, fast, reliable and easy-to-use electrochemical biosensors. Herein, we describe the types of biosensors with the main focus on electrochemical biosensors fabricated for the detection of OPPs and carbamates pesticides. An overview of conventional techniques employed for pesticide detection is also discussed. This review aims to provide a glance of recently developed biosensors for some common pesticides like chlorpyrifos, malathion, parathion, paraoxon, and carbaryl which are present in food and environment samples.

Authors

Showing all 7827 results

NameH-indexPapersCitations
Ashok Kumar1515654164086
Rajendra Prasad8694529526
Gaurav Sharma82124431482
Ashish Sharma7590920460
Sanjay Singh71113322099
Narendra Tuteja6835427042
Ashwani Kumar6670318099
Manoj Kumar6540816838
Manish Kumar61142521762
Rakesh Sharma6067314157
Ajit Varma5743212584
Rudra Deo Tripathi571389640
Bhudev C. Das482297144
D.K. Avasthi464909120
Dattatray J. Late4620511647
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2022151
20212,664
20202,129
20191,777
20181,452
20171,324