Search

Your search keyword '"Prashant, Singh"' showing total 2,355 results
Start Over Author "Prashant, Singh"

Refine your results

more »

more »

more »

more »

more »
2,355 results on '"Prashant, Singh"'

3. Real Time Traffic Management by Optimizing Level of Service

Author

Garg, Tanya, Kaur, Gurjinder, Rana, Prashant Singh, Wani, Niyaz Ahmad, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, K, Hemachandran, editor, Rodriguez, Raul Villamarin, editor, Rege, Manjeet, editor, Ade-Ibijola, Abejide, editor, Ong, Kok-Leong, editor, and Piuri, Vincenzo, editor

Published
2025
Full Text
View/download PDF

4. Comparative Analysis of Pretrained Models for Text Classification, Generation and Summarization: A Detailed Analysis

Author

Pathak, Prakrit, Rana, Prashant Singh, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor

Published
2025
Full Text
View/download PDF

6. Optimized synthesis and characterization of laterite biochar composite for arsenic removal: examining colloidal stability and As(III) oxidation

Author

Prashant Singh and Abhijit Maiti

Subjects
Arsenic adsorption, Biochar, Laterite, Optimization, Quenching, Environmental sciences, GE1-350, Agriculture
Abstract

Abstract Arsenic contamination of water and soil affects many regions worldwide, and an eco-friendly and sustainable decontamination solution is needed. A promising approach involves preparing a composite adsorbent using biochar and laterite-based adsorbent. The biochar composite (LBC) uses biochar as a stable carbon matrix that distributes treated laterite minerals efficiently and reduces agglomeration. In contrast, treated laterite, rich in mixed metal oxides like iron and aluminum hydroxides, enhances the adsorption capacity, selectivity, and stability of biochar. Process optimization determines the optimal pyrolysis temperature, organic–inorganic content, treatment methodology, biochar incorporation at a particular pH, and colloidal instability. The Langmuir isotherm model estimates maximum arsenic adsorption capacities of 21 g kg–1 for As(V) and 14 g kg–1 for As(III), respectively, with high adsorption rates at both low and high arsenic concentrations. FTIR and XPS analysis suggest hydroxyl and metal oxide aid adsorption, while the quenching experiments with EPR analysis confirm the active role of hydroxyl-free radicles in the oxidation and subsequent adsorption of arsenic species. The used adsorbent can be regenerated using 0.2 M NaOH and shows a safe landfilling option for spent adsorbent based on the TCLP tests. The synergistic combination of laterite with biochar makes LBC an efficient and sustainable solution for the removal of arsenic from water with high adsorption capacity and easy regeneration. Graphical Abstract

Published
2024
Full Text
View/download PDF

9. Predictive Maintenance of Armoured Vehicles using Machine Learning Approaches

Author

Sengupta, Prajit, Mehta, Anant, and Rana, Prashant Singh

Subjects
Computer Science - Machine Learning
Abstract

Armoured vehicles are specialized and complex pieces of machinery designed to operate in high-stress environments, often in combat or tactical situations. This study proposes a predictive maintenance-based ensemble system that aids in predicting potential maintenance needs based on sensor data collected from these vehicles. The proposed model's architecture involves various models such as Light Gradient Boosting, Random Forest, Decision Tree, Extra Tree Classifier and Gradient Boosting to predict the maintenance requirements of the vehicles accurately. In addition, K-fold cross validation, along with TOPSIS analysis, is employed to evaluate the proposed ensemble model's stability. The results indicate that the proposed system achieves an accuracy of 98.93%, precision of 99.80% and recall of 99.03%. The algorithm can effectively predict maintenance needs, thereby reducing vehicle downtime and improving operational efficiency. Through comparisons between various algorithms and the suggested ensemble, this study highlights the potential of machine learning-based predictive maintenance solutions., Comment: In Conference Proceedings of INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (pg:25-31) - (New Delhi, 2023)

Published
2023

10. Computational supported experimental insights in adsorption of Congo Red using ZnO/doped ZnO in aqueous solution

Author

Ayushi Prajapat, Mohd. Aslam, Ishika Rana, Kumar Rakesh Ranjan, Prashant Singh, Chandrabhan Verma, Akram AlFantazi, and Kamlesh Kumari

Subjects
ZnO & doped ZnO, MD simulations, Cyclic voltammetry, Adsorption studies, Medicine, Science
Abstract

Abstract The rapid growth of industrialisation has led to the discharge of harmful effluents into water bodies, severely disrupting the balance of ecosystems. The detection and removal of dyes from wastewater remains a significant challenge. In this study, we report the synthesis of zinc oxide (ZnO) and its doped derivatives through a facile chemical method, followed by comprehensive characterisation and analysis to assess their potential in various applications. The structural properties of the synthesised materials were confirmed by X-ray diffraction (XRD), which verified their crystalline nature and phase purity. Morphological analysis using field emission scanning electron microscopy (FE-SEM) coupled with energy dispersive X-ray analysis (EDAX) revealed well-defined nanostructures and uniform elemental distribution. The adsorption ability of the synthesized adsorbents was investigated through electrochemical methods, cyclic voltammetry and Tafel plots, which demonstrated enhanced conductivity and charge transfer characteristics. Additionally, theoretical studies through molecular modelling and molecular dynamic simulations were employed to elucidate the interactions between Congo red molecules and the surface of the synthesized compounds. Adsorption experiments were conducted to evaluate the efficacy of ZnO and its doped variants as adsorbents. To investigate any structural or functional changes after dye adsorption FTIR and XRD were compared, provided a deeper insight into the adsorption mechanism. This multi-faceted approach highlights the potential of ZnO-based materials for effective wastewater treatment and other environmental applications.

Published
2024
Full Text
View/download PDF

11. Investigate the binding of pesticides with the TLR4 receptor protein found in mammals and zebrafish using molecular docking and molecular dynamics simulations

Author

Sandeep Yadav, Mohd. Aslam, Ayushi Prajapat, Iona Massey, Bhaskara Nand, Durgesh Kumar, Kamlesh Kumari, Garima Pandey, Chandrabhan Verma, Prashant Singh, and Akram AlFantazi

Subjects
Pesticides, Cardiovascular toxicity, Toll-like receptor 4 (TLR4), Molecular docking, Molecular dynamics simulations, 3FXI, Medicine, Science
Abstract

Abstract The widespread use of pesticides poses significant threats to both environmental and human health, primarily due to their potential toxic effects. The study investigated the cardiovascular toxicity of selected pesticides, focusing on their interactions with Toll-like receptor 4 (TLR4), an important part of the innate immune system. Using computational tools such as molecular docking, molecular dynamics (MD) simulations, principal component analysis (PCA), density functional theory (DFT) calculations, and ADME analysis, this study identified C160 as having the lowest binding affinity (-8.2 kcal/mol), followed by C107 and C165 (-8.0 kcal/mol). RMSD, RMSF, Rg, and hydrogen bond metrics indicated the formation of stable complexes between specific pesticides and TLR4. PCA revealed significant structural changes upon ligand binding, affecting stability and flexibility, while DFT calculations provided information about the stability, reactivity, and polarity of the compounds. ADME studies highlighted the solubility, permeability, and metabolic stability of C107, C160, and C165, suggesting their potential for bioavailability and impact on cardiovascular toxicity. C107 and C165 exhibit higher bioactivity scores, indicating favourable absorption, metabolism, and distribution properties. C165 also violated rule where molecular weight is greater than 500 g/mol. Further, DFT and NCI analysis of post MD conformations confirmed the binding of ligands at the binding pocket. The analysis shed light on the molecular mechanisms of pesticide-induced cardiovascular toxicity, aiding in the development of strategies to mitigate their harmful effects on human health.

Published
2024
Full Text
View/download PDF

13. The Presence of An Avulsion Fracture of the 1st Tarso-Metatarsal Joint in Lisfranc Injuries is a Useful Adjunct in Detecting 1st TMTJ Instability

Author

Prashant Singh FRCS, Neil Jones FRCS, Francesc Malagelada FRCS, Amit Patel FRCS, and Lucky Jeyaseelan FRCS

Subjects
Orthopedic surgery, RD701-811
Abstract

Category: Midfoot/Forefoot; Trauma Introduction/Purpose: Lisfranc fracture-dislocations are uncommon injuries that are often missed or diagnosed late. The consequences of this include post-traumatic osteoarthritis and deformity. Injuries with ligamentous involvement injuries often have avulsion fractures at the level of the tarso-metatarsal joint (TMTJ) on either plain radiographs or CT scan. A proportion of these will have a congruent TMTJ joint on initial imaging. However, it has been suggested that many of these patients will have an unstable TMTJ which requires stabilisation. The purpose of this study was to determine the relationship between the presence of an avulsion fracture on initial imaging and instability or incongruence of the first TMTJ. Methods: A prospectively maintained database of all Lisfranc fracture-dislocations presenting to our centre was collected. Initial plain radiographs and CT scans were analysed for the presence of 1st TMTJ avulsion fractures independently by two senior authors. Data were collected regarding the initial mechanism of injury, fracture classification (Myerson and Qenu). Injuries which were managed non-operatively were excluded from the study. All included cases were managed with examination under anaesthesia (EUA) and intra-operative screening with stress testing under image intensification prior to fixation or arthrodesis surgery. The rate of instability for each fracture classification type was also determined. The sensitivity and specificity of the presence of an avulsion fracture of the 1st TMTJ in detecting an unstable joint was determined. Results: 153 patients with a Lisfranc injury were included. The mean age was 35.2 years, and 68% of patients were male. 99 injuries (64.7%) were identified as having an avulsion fracture at the level of the 1st TMJ on either plain radiographs or CT scan. Of these, 76.7% were found to have a congruent joint on XR or CT scan. 91.9% of patients with an avulsion fracture of the 1st TMTJ were found to have instability on EUA stress testing. Amongst the 54 patients who had no avulsion fracture, 23 (42.6%) demonstrated instability of the 1st TMTJ on EUA. The presence of an avulsion fracture of the 1st TMTJ had a sensitivity of 79.8% and a specificity of 79.5% in the detection of an unstable joint. Conclusion: The presence of an avulsion fracture of the 1st TMJ is highly suggestive of instability of the joint and may be a useful adjunct in assessment and decision making for Lisfranc injuries. This finding on pre-operative radiographs should alert clinicians to have a low threshold to perform further imaging in the form of CT scanning or EUA and dynamic stress testing of the 1st TMTJ. A high proportion of Lisfranc injuries without avulsion fractures have instability at the level of the 1st TMTJ, and therefore the absence of this finding does not provide a reliable indication of joint stability.

Published
2024
Full Text
View/download PDF

14. Quantitative Distribution Profile of Cadmium and Lead in Different Organs of Rats and Mitigation of their Accumulation Through Probiotic Treatment

Author

Omprakash Omprakash, Rohit Kumar, Prashant Singh, Poonam Devi, Anuj Malik, and Nitin Mahal

Subjects
Cadmium, lead, Wistar rat, antioxidant enzymes, probiotics, Microbiology, QR1-502
Abstract

Cadmium (Cd) and lead (Pb) are toxic heavy metals that can have severe adverse effect on human health and environment. Pb contamination remains a significant concern due to its persistence in the environment, while Cd primarily enters the environment through mining, contaminating water and soil. These metals have a propensity to accumulate within various organs by displacing the essential divalent cation Ca2+, which plays a crucial role in mammalian physiology. However, the pattern of accumulation is not uniform across different organs and can vary due to distinct processing mechanisms and affinities exhibited by heavy metals toward various organ systems. This present study aims to comprehensively assess the quantitative distribution of cadmium and lead within the organs of Wistar rats, who were administered 50 mg and 100 mg per kilogram of body weight, respectively, of Cd and Pb. Furthermore, the study employs a therapeutic and interventional approach to mitigate heavy metal toxicity by introducing two probiotic strains: Lactobacillus fermentum NCDC-400 and Lactobacillus rhamnosus NCDC-610. The group of Wistar rats receiving the probiotic treatment demonstrated a noteworthy reduction in the accumulation of Cd and Pb, accompanied by a significant improvement in antioxidant enzyme activities and histological features of liver and kidney.

Published
2024
Full Text
View/download PDF

15. A systematic review of supply chain analytics for targeted ads in E-commerce

Author

Shrestha Pundir, Hardik Garg, Devnaad Singh, and Prashant Singh Rana

Subjects
Big data analytics, E-commerce, Machine learning, Supply chain analytics, Supply chain optimisation, Targeted advertising, Marketing. Distribution of products, HF5410-5417.5, Management. Industrial management, HD28-70
Abstract

Supply Chain Analytics (SCA) has emerged as a critical factor in determining the success of electronic commerce (E-commerce) companies. This review investigates the significant impact that SCA has had on the advertising landscape in the e-commerce industry. This article examines the complex correlation between electronic vendor (E-vendor) targeted advertising strategies and SCA by extensively reviewing critical scholarly works. By harnessing sophisticated analytics methodologies, organisations can acquire intricate understandings of consumer behaviour, cultivating heightened customer engagement and loyalty levels. Furthermore, the review highlights the significance of anticipating and resolving potential roadblocks that may arise during the deployment of SCA, such as financial consequences and external disruptions. Ultimately, the broad application of SCA facilitates customised advertisements.

Published
2024
Full Text
View/download PDF

16. Inferring entropy production from time-dependent moments

Author

Prashant Singh and Karel Proesmans

Subjects
Astrophysics, QB460-466, Physics, QC1-999
Abstract

Abstract Measuring entropy production of a system directly from the experimental data is highly desirable since it gives a quantifiable measure of the time-irreversibility for non-equilibrium systems and can be used as a cost function to optimize the performance of the system. Although numerous methods are available to infer the entropy production of stationary systems, there are only a limited number of methods that have been proposed for time-dependent systems and, to the best of our knowledge, none of these methods have been applied to experimental systems. Herein, we develop a general non-invasive methodology to infer a lower bound on the mean total entropy production for arbitrary time-dependent continuous-state Markov systems in terms of the moments of the underlying state variables. The method gives quite accurate estimates for the entropy production, both for theoretical toy models and for experimental bit erasure, even with a very limited amount of experimental data.

Published
2024
Full Text
View/download PDF

17. Estimation of Correlation Matrices from Limited time series Data using Machine Learning

Author

Easaw, Nikhil, Lee, Woo Seok, Lohiya, Prashant Singh, Jalan, Sarika, and Pradhan, Priodyuti

Subjects
Computer Science - Machine Learning
Abstract

Correlation matrices contain a wide variety of spatio-temporal information about a dynamical system. Predicting correlation matrices from partial time series information of a few nodes characterizes the spatio-temporal dynamics of the entire underlying system. This information can help to predict the underlying network structure, e.g., inferring neuronal connections from spiking data, deducing causal dependencies between genes from expression data, and discovering long spatial range influences in climate variations. Traditional methods of predicting correlation matrices utilize time series data of all the nodes of the underlying networks. Here, we use a supervised machine learning technique to predict the correlation matrix of entire systems from finite time series information of a few randomly selected nodes. The accuracy of the prediction validates that only a limited time series of a subset of the entire system is enough to make good correlation matrix predictions. Furthermore, using an unsupervised learning algorithm, we furnish insights into the success of the predictions from our model. Finally, we employ the machine learning model developed here to real-world data sets., Comment: 17 pages, 7 figures

Published
2022

21. Automated Event Detection and Extraction from E-Mails

Author

Singhal, Kriti, Rana, Prashant Singh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Shukla, Balvinder, editor, Murthy, B. K., editor, Hasteer, Nitasha, editor, Kaur, Harpreet, editor, and Van Belle, Jean-Paul, editor

Published
2024
Full Text
View/download PDF

22. Analysis of Effectiveness of Indian Political Campaigns on Twitter

Author

Singhal, Kriti, Sood, Kartik, Kaushal, Akshat, Gehlot, Vansh, Rana, Prashant Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Rodrigues, Joel J. P. C., editor, Gupta, Suneet Kumar, editor, Cheng, Xiaochun, editor, Sarao, Pushpender, editor, and Patel, Govind Singh, editor

Published
2024
Full Text
View/download PDF

23. A Multi-layered Approach to Brain Tumor Classification Using VDC-12

Author

Mehta, Anant, Sengupta, Prajit, Rana, Prashant Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Aurelia, Sagaya, editor, J., Chandra, editor, Immanuel, Ashok, editor, Mani, Joseph, editor, and Padmanabha, Vijaya, editor

Published
2024
Full Text
View/download PDF

24. A Smart Technique of Gearbox Fault Diagnosis Based on Advanced Signal Processing and Machine Learning

Author

Mukherjee, Subrata, Kumar, Vikash, Chopra, Hetarth, Rohit, Jino, Hooda, Nishtha, Rana, Prashant Singh, Sarangi, Somnath, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Ghoshal, Sanjoy K., editor, Samantaray, Arun K., editor, and Bandyopadhyay, Sandipan, editor

Published
2024
Full Text
View/download PDF

25. Protocol Security in 6th Generation (6G) Networks

Author

Garg, Tanya, Kaur, Gurjinder, Rana, Prashant Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Muthalagu, Raja, editor, P S, Tamizharasan, editor, Pawar, Pranav M., editor, R, Elakkiya, editor, Prasad, Neeli Rashmi, editor, and Fiorentino, Michele, editor

Published
2024
Full Text
View/download PDF

26. Structures, processes and outcomes between first referral and referral hospitals in low-income and middle-income countries: a secondary preplanned analysis of the FALCON and ChEETAh randomised trials

Author

Rajeev Sharma, Neha Mishra, Simon Cousens, Sanjay Gupta, Thomas Pinkney, Neil Smart, Jonathan Cook, Hemanth Kumar, Peter Brocklehurst, Mohammed Bashir, Dmitri Nepogodiev, Adesoji O Ademuyiwa, Philip Alexander, Laura Magill, Rachel Moore, Stephen Tabiri, Joseph Yorke, Dion Morton, Aneel Bhangu, Bryar Kadir, Naveen Sharma, Punam Mistry, Joshua Arthur, Muneer A Malik, Tracy Roberts, Elisee Rwagahirima, Christian Urimubabo, Ewen Harrison, Vijay Kumar, Julia Brown, Pollyanna Hardy, Amit Mahajan, Pratik Solanki, James Glasbey, Himani Gupta, Omar Omar, Joana Simoes, Sivesh K Kamarajah, Adesoji Ademuyiwa, Felix Alakaloko, Olumide Elebute, Omolara Faboya, Justina Seyi-Olajide, Anita Thomas, David Lissauer, Zainab Imam, George Ihediwa, Zainab O Imam, Felix M Alakaloko, Pradeep Zechariah, Suraj Surendran, Olatunji O Lawal, Mohammed Adnan, Savleen Kaur, Faustin Ntirenganya, JC Allen Ingabire, Lawani Ismaïl, Emmy Runigamugabo, Djifid Morel Seto, Paul Wondoh, Charles Dally, Kwabena Agbedinu, Florence Dedey, Enoch Tackie, Frank Enoch Gyamfi, Anthony Davor, Akinlabi Ajao, Omobolaji Ayandipo, Olalekan Ajai, Mobolaji Oludara, Muhammad Daniyan, Danjuma Sale, Lawal Abdullahi, Olabisi Osagie, Adedeji Fatuga, Muzzammil Abdullahi, Manish Pathak, Prashant Singh, Rita Jain, Kwaku Boakye-Yiadom, Kazeem Atobatele, Ayokunle Ogunyemi, Olabode Oshodi, Christopher Bode, Omobolaji O Ayandipo, Akinlabi E Ajao, Godwin Akaba, Gabriella Hyman, Deepak Singh, Olukemi Akande, Sivesh Kathir Kamarajah, Naseem Akhtar, José A Flores, Donna Smith, Olatunji Lawal, Hadijat Olaide Raji, Zafar Khan, Matthew Francis, Emmanuel Williams, Pardeep Kumar, Oliver Samuel, María Paz Muñoz, Arun Chaturvedi, Sameer Gupta, Puneet Prakash, John Raphael, Funmilola Wuraola, Olalekan Olasehinde, Murlidhar V Pai, Deepak Jain, Anwar Sadat Seidu, Victor Ifeanyichukwu Modekwe, Jideofor Okechukwu Ugwu, Lukmon Amosu, Akan Inyang, Michael Amoah, Boateng Nimako, Dhruva Ghosh, Neil Winkles, Olabisi O Osagie, Karolin Kroese, Olubunmi Ogein, Mustapha Yakubu, Vasanth Mark Samuel, Cecil Thomas, Enono Yhoshu, Vishal Michael, William Bhatti, Swati Daniel, Jyoti Dhiman, Atul Suroy, Christopher O Bode, George C Ihediwa, Adaiah Soibi-Harry, Benedetto Osunwusi, Elizabeth Li, Sonia Mathai, Deepak Singla, Farhanul Huda, Aisha Mustapha, Anisah Yahya, Samuel Mensah, Puneet Pareek, Bernard Ofori, Souliath Lawani, Oluwafunmilayo Adeniyi, Opeyemi Rebecca Akinajo, Richard Ofosu-Akromah, Olumide Adeniyi, Adewale O. Adisa, Natacha Boumas, Fareeda Galley, Frank Enoch Gyamfi Parvez D Haque, Antonio Ramos de la Medina, Chukwuma Okereke, Ronald Tubasime, Felicity Brant, Sohini Chakrabortee, Parvez D Haque, Emily Heritage, Carmela Lapitan, Rachel Lillywhite, Pierre Sodonougbo, Pamphile Assouto, Michel Fiogbe, Houenoukpo Koco, Serge Metchinhoungbe, Hodonou Sogbo, Hulrich Behanzin, Yannick Tandje, Sosthène Kangni, Cyrile Kpangon, Marcelin Akpla, Hugues Herve Chobli, Blaise Kovohouande, Gérard Agboton, Rene Ahossi, Raoul Baderha Ngabo, Nathan Bisimwa, Covalic Melic Bokossa Kandokponou, Mireille Dokponou, Francis Moïse Dossou, Corinne Dzemta, Antoine Gaou, Roland Goudou, Emmanuel Hedefoun, Sunday Houtoukpe, Felix Kamga, Eric Kiki- Migan, Ismaïl Lawani, René Loko, Afissatou Moutaïrou, Pencome Ogouyemi, Fouad Soumanou, Pia Tamadaho, Mack-Arthur Zounon, Luke Aniakwo Adagrah, Bin Baaba Alhaji Alhassan, Mabel Pokuah Amoako-Boateng, Anthony Baffour Appiah, Alvin Asante-Asamani, Benedict Boakye, Samuel A Debrah, Donald Enti, Rahman Adebisi Ganiyu, Patience Koggoh, Richard Kpankpari, Isabella Naa M. Opandoh, Meshach Agyemang Manu, Maison Patrick Opoku Manu, Martin Tangnaa Morna, John Nkrumah, Michael Nortey, Emmanuel Owusu Ofori, Elizaberth Mercy Quartson, Esther Adjei-Acquah, Eric Agyemang Vera Agyekum, Rebecca Adjeibah Akesseh, Forster Amponsah-Manu, Ato Oppong Acquah, Leslie Issa Adam-Zakariah, Esther Asabre, Ruby Acheampong Boateng, Barbara Koomson, Ataa Kusiwaa, Emmanuel Yaw Twerefour, James Ankomah, Frank Assah-Adjei, Anthony Appiah Boakye, Godfred Fosu, Godwin Serbeh, Kofi Yeboah Gyan, Isaac Omane Nyarko, Zelda Robertson, Ralph Armah, Christopher Asare, Delali Akosua Gakpetor, Victoria Sena Gawu, Ambe Obbeng, Doris Ofosuhene, Dorcas Osei-Poku, Diana Puozaa, Arkorful Ebenezer Temitope, Regina Acquah, James Amoako, Akosua Dwamena Appiah, Mark Aseti, Charles Banka, Samuel Dadzie, Derick Essien, Romeo Hussey, Jemima Kwarteng, Naa Anyekaa Sowah, Grace Yeboah, Cynthia Yeboah, Kwame Gyambibi Addo, Enoch Appiah Akosa, Percy Boakye, Christian Larbi Coompson, Brian Gyamfi, Bismark Effah Kontor, Christian Kyeremeh, Ruth Manu, Elijah Mensah, Friko Ibrahim Solae, Gideon Kwasi Toffah, Dorcas Otuo Acheampong, Jane Acquaye, Michael Adinku, Anita Eseenam Agbeko, Emmanuel Gyimah Amankwa, George Amoah, Juliana Appiah, Alex Ayim, Emmanuel Kafui Ayodeji, Jonathan Boakye-Yiadom, Edward Amoah Boateng, Christian Kofi Gyasi-Sarpong, Naabo Nuhu Noel Hamidu, Iddrisu Haruna, Naa Kwarley, Agbenya Kobla Lovi, Bertina Beauty Nyadu, Dominic Opoku, Anita Osabutey, Robert Sagoe, Samuel Tuffour, Yaa Tufour, Francis Akwaw Yamoah, Abiboye Cheduko Yefieye, Nii Armah Adu-Aryee, Faisal Adjei, Erica Akoto, Elikem Ametefe, Joachim Kwaku Amoako, Godsway Solomon Attepor, George Darko Brown, Benjamin Fenu, Philemon Kwame Kumassah, David Olatayo Olayiwola, Theodore Wordui, Nelson Agboadoh, Fatao Abubakari, Cletus Ballu, Charles Gyamfi Barimah, Guy Casskey Boateng, Prosper Tonwisi Luri, Abraham Titigah, Frank Owusu, Raphael Adu-Brobbey, Abdul-Hamid Labaran, Junior Atta Owusu, Vivian Adobea, Amos Bennin, Fred Dankwah, Stanley Doe, Ruth Sarfo Kantanka, Ephraim Kobby, Kennedy Kofi Korankye Hanson Larnyor, Edwin Osei, Prince Yeboah Owusu, Clement Ayum Sie-Broni, Marshall Zume, Francis Atindaana Abantanga, Darling Ramatu Abdulai, Daniel Kwesi Acquah, Emmanuel Ayingayure, Imoro Osman, Sheba Kunfah, Gbana Limann, Shamudeen Alhassan Mohammed, Sheriff Mohammed, Yakubu Musah, Emmanuel Abem Owusu, Abdul-Hafiz Saba, Edwin Mwintiereh Ta-ang Yenli, Arun Gautham, Alice Hepzibah, Grace Mary, Dimple Bhatti, Karan Bir, Tapasya Dhar, Sunita Goyal, Goyal Ankush, Monika Hans, Parvez Haque, Samuel Konda, Anil Luther, Shalini Makkar, Kavita Mandrelle, Partho Mukherjee, Reuben Rajappa, Ravinder Thind, Alen Thomas, Arti Tuli, Sreejith Veetil, Esther Daniel Mark Jesudason, K Priyadarshini, Latha Madankumar, Rohin Mittal, Ida Nagomy, Rajesh Selvakumar, Bharat Shankar, Moonish Sivakumar, Rajeevan Sridhar, Devabalan Titus, Manisha Aggarwal, Parth Dhamija, Vinoth Kanna, Ashwani Kumar, Gurtaj Singh, Josy Thomas, Amos Dasari, Priya Jacob, Elizabeth Kurien, Arpit Mathew, Danita Prakash, Anju Susan, Rose Varghese, Rahul Alpheus, Ashish Choudhrie, Nitin Peters, Subrat Raul, Rakesh Vakil, Wenceslao Ángeles Bueno, Francisco Barbosa Camacho, Aldo Bernal Hernández, Ana Bogurin Arellano, Edgar Cortes Torres, Clotilde Fuentes Orozco, Erick González García de Rojas, Alejandro González Ojeda, Bertha Guzmán Ramírez, Michel Hernández Valadez, Diego Luna Acevedo, Rubén Morán Galaviz, Oscar Olvera Flores, José Pérez Navarro, Kevin Pintor Belmontes, Fernando Ramirez Marbello, Luis Ramírez-González, Laura Reyes Aguirre, Ramona Rojas García, Eduardo Valtierra Robles, Reyes Cervantes Ortiz, Gonzalo Hernandez Gonzalez, Rosa Hernandez Krauss, Luis Hernández Miguelena, Marco Hurtado Romero, Isaac Baltazar Gomez, Celina Cuellar Aguirre, Alejandro Cuevas Avendaño, Luis Dominguez Sansores, Hector Ortiz Mejia, Laura Urdapilleta Gomez del Campo, Claudia Caballero Cerdan, David Dominguez Solano, Rafael Toriz Garcia, Mariana Barreto Gallo, Ana Cortes Flores, Alejandro Gonzalez Ojeda, Monica Jimenez Velasco, Rozana Reyes Gamez, Roque Lincona Menindez, Alberto Navarrete Peón, Irani Durán Sánchez, Diana Gonzalez Vazquez, Maria Martínez Lara, Laura Martinez Perez Maldonado, Alejandra Nayen Sainz de la Fuente, Antonio Ramos De la Medina, Khadija Ado, Mohammed Aliyu, Lofty-John Anyanwu, Mahmoud Magashi, Abubakar Muhammad, Saminu Muhammad, Bello Muideen, Idris Takai, Onyekachi Ukata, Opeoluwa Adesanya, David Awonuga, Olushola Fasiku, Chidiebere Ogo, Moruf Abdulsalam, Abimbola Adeniran, Grace Eke, Esther Momson, Francisca Nwaenyi, Olufunmilade Omisanjo, Yusuf Oshodi, Yemisi Oyewole, Omotade Salami, Omolara Williams, Victoria Adeleye, Opeyemi Akinajo, David Akinboyewa, Iyabo Alasi, Oluwole Atoyebi, Olanrewaju Balogun, Orimisan Belie, Andrew Ekwesianya, Francis Ezenwankwo, Adesola Jimoh, Jubril Kuku, Oluwaseun Ladipo- Ajayi, Ayomide Makanjuola, Olayanju Mokwenyei, Samuel Nwokocha, Rufus Ojewola, Abraham Oladimeji, Thomas Olajide, Oluwaseun Oluseye, Aloy Ugwu, Ochomma Egwuonwu, Okechukwu Ekwunife, Victor Modekwe, Chukwuemeka Okoro, Chisom Uche, Kenneth Ugwuanyi, Chuka Ugwunne, Akeem Adeleke, Wilson Adenikinju, Akinfolarin Adepiti, Adewale Aderounmu, Abdulhafiz Adesunkanmi, Adewale Adisa, Samuel Ajekwu, Olusegun Ajenjfuja, Jerrie Akindojutimi, Akinbolaji Akinkuolie, Olusegun Alatise, Olubukola Allen, Micheal Archibong, Olukayode Arowolo, Deborah Ayantona, Ademola Ayinde, Olusegun Badejoko, Tajudeen Badmus, Amarachukwu Etonyeaku, Emeka Igbodike, Omotade Ijarotimi, Adedayo Lawal, Fayowole Nana, Tunde Oduanafolabi, Olaniyi Olayemi, Stephen Omitinde, Owolabi Oni, Chigozie Onyeze, Ernest Orji, Adewale Rotimi, Abdulkadir Salako, Olufemi Solaja, Oluwaseun Sowemimo, Ademola Talabi, Mohammed Tajudeen, Francis Adebayo, Oseremen Aisuodionoe- Shadrach, Lazarus Ameh, Ndubuisi Mbajiekwe, Felix Ogbo, Samson Olori, Samuel Sani Abu Sadiq, Nancy Tabuanu, Martins Uanikhoba, Godwin Chiejina, Ekpo Edet, Mary Isa, Faith Iseh, Adams Marwa, Sunday Ogbeche, Edima Olory, Gabriel Udie, Joseph Udosen, Usang Usang, Olukayode Abayomi, Rukiyat Abdus-Salam, Sikiru Adebayo, Olanrewaju Amusat, Kelvin Egbuchulem, Hyginus Ekwuazi, Peter Elemile, Taiwo Lawal, Solomon Olagunju, Peter Osuala, Bamidele Suleman, Augustine Takure, Lukman Abdur-Rahman, Nurudeen Adeleke, Muideen Adesola, Rafiat Afolabi, Sulaiman Agodirin, Isiaka Aremu, Jibril Bello, Saheed Lawal, Abdulwahab Lawal, Hadijat Raji, Olayinka Sayomi, Asimiyu Shittu, Jude Ede, Sebastian Ekenze, Vincent Enemuo, Matthew Eze, Uchechukwu Ezomike, Emmanuel Izuka, Okezie Mbadiwe, Ngozi Mbah, Uba Ezinne, Iweha Ikechukwu, Okoi Nnyonno, Philemon Okoro, Igwe Patrick, Oriji Vaduneme, Abhulimen Victor, Salathiel Kanyarukiko, Francine Mukaneza, Deborah Mukantibaziyaremye, Aphrodis Munyaneza, Gibert Ndegamiye, Ronald Tubasiime, Moses Dusabe, Emelyne Izabiriza, Hope Lydia Maniraguha, Christophe Mpirimbanyi, Josiane Mutuyimana, Olivier Mwenedata, Francine Uwizeyimana, Job Zirikana, Aime Dieudonne Hirwa, Elysee Kabanda, Salomee Mbonimpaye, Christine Mukakomite, Piolette Muroruhirwe, Georges Bucyibaruta, Gisele Juru Bunogerane, Sosthene Habumuremyi, Jean de Dieu Haragirimana, Alphonsine Imanishimwe, Violette Mukanyange, Emmanuel Munyaneza, Emmanuel Mutabazi, Isaie Ncogoza, Jeannette Nyirahabimana, Mary Augusta Adams, Richard Crawford, Chikwendu Jeffrey Ede, Maria Fourtounas, Morapedi Kwati, Mpho Nosipho Mathe, Ncamsile Anthea Nhlabathi, Hlengiwe Samkelisiwe Nxumalo, Paddy Pattinson, Nnosa Sentholang, Mmule Evelyn Sethoana, Maria Elizabeth Stassen, Laura Thornley, Cheryl Birtles, Mathete Ivy, Cynthia Mbavhalelo, Zain Ally, Abdus-sami Adewunmi, Maria Picciochi, Michael Bahrami-Hessari, Didier Ahogni Benin, Aristide Ahounou, K. Alassan Boukari, Oswald Gbehade, Thierry K Hessou, Sinama Nindopa, M.J. Bienvenue Nontonwanou, Nafissatou Orou Guessou, Arouna Sambo, Sorekou Victoire Tchati, Affisatou Tchogo, Semevo Romaric Tobome, Parfait Yanto, Isidore Gandaho, Armel Hadonou, Simplice Hinvo, Montcho Adrien Hodonou, Sambo Bio Tamou, Marie-Claire Kouroumta, Enrif Malade, Anne stredy Mkoh Dikao, Joel Nzuwa Nsilu, Nathan Bisimwa Mitima, Cyrille Kpangon, Stephane Laurent Loupeda, Mamonde Victorin Agbangla, Sena Emmanuel Hedefoun, Thierry Mavoha, Juvenal Ngaguene, Janvier Rugendabanga, Rish Romaric Soton, Martin Totin, Mouhamed Agbadebo, Irene Akpo, Hubert Dewamon, Martin Djeto, Aissatou Hada, Monsede Hollo, Albert Houndji, Anasthasie Houndote, Sylvestre Hounsa, Expedit Kpatchassou, Hugues Yome, Mohamed Moussa Alidou, Bonheur Dossou Yovo, Robert Guinnou, Souleymane Hamadou, Nabil Moussa, Boniface Cakpo, Lolyta Etchisse, Emery Hatangimana, Moise Muhindo, Katia Sanni, Agossou Barthelemy Yevide, Hermann Agossou, Fiston Basirwa Musengo, Bill Armstrong Alia, Arnaud Alitonou, Lucien Agbanda, Julien Attinon, Marcel Gbassi, Nounagnon Rene Hounsou, Derick Esssien, Yakubu Mustapha, Kojo Nunoo-Ghartey, Luke A Aniakwo, Margarey N M Adjei, Yvonne Adofo-Asamoah, Meshach M Agyapong, Thomas Agyen, Baba A B Alhassan, Mabel P Amoako-Boateng, Josephine Ashong, Joseph K Awindaogo, Benjamin B Brimpong, Makafui S C J K Dayie, Wendy W Ghansah, Jude E Gyamfi, Vincent Kudoh, Philip Mensah, Isabella N Morkor Opandoh, Martin T Morna, Emelia Odame, Emmanuel O Ofori, Sandra Quaicoo, Elizabert M Quartson, Cynthia Teye-Topey, Makafui Yigah, Safia Yussif, Vera O Agyekum-Gyimah, Eric Agyemang, Arko Akoto- Ampaw, Temitope E Arkorful, Moses A Dokurugu, Nanabanyin Essel, Aja Ijeoma, Emmanuel L Obiri, Karen N D Quarchey, Leslie Adam-Zakariah, Aaron B Andoh, Ruby A Boateng, Atta Kusiwaa, Adeline Naah, Ato Oppon-Acquah, Benjamin A Oppong, Emma A Agbowada, Ameley Akosua, O Lawrence Dorcas Acheampong, Frank E Gyamfi, Bertina B Nyadu, Samira Abdulai, Nii A Adu-Aryee, Joachim K Amoako, Nicholas T Aperkor, Wilfred K Asman, Godsway S Attepor, Antoinette A Bediako-Bowan, George D Brown, Victor K Etwire, Benjamin S Fenu, Philemon K Kumassah, Linda A Larbi-Siaw, Josephine Nsaful, David O Olatola, Sandra E Tsatsu, Iddrisu I A Abdul-Aziz, Johnson Akunyam, Gilbert A G Anasara, Charles G Barimah, Guy C Boateng, Ponala W Kwabena, Seidu M Kwarteng, Prosper T Luri, Kennedy Ngaaso, David K D Ogudi, Collins Kyeremeh, Clement Sie-Broni, Saba Abdul-Hafiz, Daniel K Acquah, Shamsudeen M Adams, Mohammed S Alhassan, Munira Amadu, Samuel A Asirifi, Martin Awe, Millicent Azanlerigu, Mathias K Dery, Yenli Edwin, Abantanga Atindaana Francis, Aloysius Maalekuu, Hawa Malechi, Ibrahim Mohammed, Kareem Mumuni, Bernard A Ofori, Jonathan I K Quansah, Napoleon Bellua Sam, Anwar S Seidu, Shekira Yahaya, Emmanuel Kojo Acquah, Jaabir Alhassan, Christian L Coompson, Addo K Gyambibi, Ametepe Jeffery-Felix, Bismark E Kontor, Gifty Naah, Carmen Noufuentes, Abraham Sakyi, Ramkaran Chaudhary, Sanjeev Misra, Dharma R Poonia, Kirti K Rathod, Mahaveer S Rodha, Nivedita Sharma, Subhash C Soni, Vaibhav K Varsheney, Jeevan R Vishnoi, Deepak K Garnaik, Manoj J Lokavarapu, Rohit Ranjan, Rajkumar K Seenivasagam, Shanky Singh, Raunak Verma, Suzan John, Jeffery A Kalyanapu, Ananta Kutma, Sanish Philips, Arun K Gautham, Deepak S Singh, Eunice S Abraham, Chetana Chetana, Prashant Dummala, Chinta S Gold, Jurgen Jacob, Jeremiah N Joseph, Elizabeth N Kurien, Priya Mary, Arpit J Mathew, Amy E Mathew, Danita D Prakash, Ashwin Sukumar, Niyah Syam, Alisha Bhatt, Dhruva N Ghosh, Ankush Goyal, Monika A Hans, Jyoti Jyoti, Karan Kumar, Vivin Daniel Sam, Ravinder Singh Thind, Sreejith K Veetil, Rahul Williams, D Sreekar, Esther R Daniel, Smitha E Jacob, Mark R Jesudason, Pushplatha Kumari, Soosan Prasad, Srujan Sharma, Moonish V Sivakumar, Paul Trinity, Sudheer Kanchodu, K Leshiini, Sundeep S Saluja, Ashok K Attri, Ishan Bansal, Monika Gureh, Simran Kapoor, Harmanjot Kaur, Simrandeep Singh, Viju John, Nivesh Agrawal, Uttkarsh Kumar, S Abhishek, Vikram Sehrawat, Gaurav Thami, Stanley Mathew, P S Prabhu, P T Sundeep, Shiv Rajan, Mohit Singh, Abhilasha Tripathi, Philip V Alexander, A Vijay, Moloti Kichu* Ismavel, Carolin V Solomi, Rahul A Alpheus, Ashish Victor Choudhrie, Rashmi Jacob Gunny, Susan Joseph, Nitin J Peters, Neha Pundir, Ram Samujh, Hafsa I Ahmed, Gowhar Aziz, Nisar A Chowdri, Rayees A Dar, Robindera Kour, Imtiyaz Mantoo, Asif Mehraj, Fazl Q Parray, Najmus Saqib, Zamir A Shah, Rauf A Wani, Komal Rautela, Nishu Singh, Priyanka Chowdhury, Sona Chowdhury, Pragyanmai Nayak, Bipradas Roy, Andrea S Alvarez Villaseñor, Kriscia V Ascencio Díaz, Victor J Avalos Herrera, Francisco J Barbosa, Elyoenai Bonilla Ahumada, Irma V Brancaccio, Miguel A Calderón, Guadalupe Castillo Cardiel, Guillermo A Cervantes, Gabino Cervantes Guevara, Enrique Cervantes Perez, Maria Chávez, Jonathan M Chejfec, Luis R Cifuentes, Ana O Cortés, Edgar J Cortes, Tania A Cueto, Andrea E Cueto, Esteban Cueva Martinez, Paulina Domínguez Barradas, Isaac Esparza Estrada, Paola Flores Becerril, Luis A García, Benjamín García Reyna, Eduardo Gómez Sánchez, Jaime L González, Eduardo González Espinoza, Fanny Y González, Cristhian S Guerrero, José A Guzmán, Bertha G Guzmán, Mario J Guzmán, DanielA Hérnandez Alva, SilviaA Ibarra Camargo, JuanC Ibarrola Peña, Martin Islas Torres, Jorge Jiménez Tornero, ZayraM Lara Pérez, Roberto Mares País, MelP Mellado Tellez, RobertoC Miranda Ackerman, Damián Mora Santana, Gilberto Morgan Villela, Rodrigo Nájar Hinojosa, Cesar Nuño Escobar, Itzel Ochoa Rodríguez, Angelica Ortega Barreiro, Jacqueline Osuna Rubio, Luis RPacheco Vallejo, VíctorH Pérez Bocanegra, JoseV Pérez Navarro, Francisco JPlascencia Posada, MaríaA Quirarte Hernández, LuisR Ramirez Gonzalez, Emilio AReyes Elizalde, EveliaV Romo Ascencio, Cornelio Ruelas Bravo, CarlosB Ruiz Velasco, JoséA Sánchez Martínez, Guillermo Sanchez Villaseñor, JoséI Sandoval Pulido, AlejandroG Serrano García, LuisO Suárez Carreón, JuanJ Tijerina Ávila, JesusO Vega Gastelum, MelissaL Vicencio Ramirez, MariaF Zarate Casas, CarlosJ Zuloaga, Fernández del Valle, JesusAntonion Aguilar Mata, MiguelAntonio Calderon Vanegas, RocioGuadalupe Cano Arias, Carlos Colunga Tinajero, Fernanda Diaz Samano, Fernando Duque Zepeda, BrendaVanessa Enriquez Barajas, Gerardo Gallardo Banuelos, MarijoseDe CristoGonzalez Calvillo, Francisco Ibanez Ortiz, Maryzela Lazo Ramirez, Gerardo Lopez Arroyo, LauraOlivia Montano Angeles, DavidGiovannyI Morales Iriarte, AngeloFernando Mortola Lomeli, Jose EstebanOrozco Navarro, Jaime Orozco Perez, Damaris Orozco Ramirez, LauraGabriela Pena Baolboa, Jesus Pizarro Lozano, Guillermo Yanowsky Reyes, Monica N Castillo, Ana CamilleG Dominguez, Dorihela H Mellado, Jesus FlavioM Morales, Luzdel CarmenM Namur, Jose AlbertoA Pesquera, LauraMartinez Perez Maldonado, Antonio RamosDe laMedina, Katya Bozada-Gutierrez, AnaFlorencia Casado-Zarate, Roberto Delano-Alonso, Jose Herrera-Esquivel, Mucio Moreno-Portillo, Mario Trejo-Avila, Roland Kevin CethorthFonseca, Edgard Efren LozadaHernandez, Bruno Crocco Quiros, JairoArturo Rodriguez Ramirez, Gabriela Ambriz-González, MitziR Becerra Moscoso, Ishtar Cabrera-Lozano, AnaB Calderón-Alvarado, FranciscoJ León-Frutos, ErickE Villanueva-Martínez, Aisha Abdullahi, Maimuna Abubakar, MohammedS Aliyu, Mudi Awaisu, Fadimatu Bakari, Abigail Olajumoke Balogun, Ahmad Bello, Kehinde Michael Duromola, Stephen G Gana, Mukoro Duke George, Justina Gimba, Isaac Gundu, Lambert Onahi Iji, Aminat O Jimoh, Afolabi K Koledade, Ahmad T Lawal, Bilkisu K Lawal, Stanley Emeka Nwabuoku, Oluseyi O Ogunsua, Ifeanyi Fidelis Okafor, Ethos Ike Okorie, Nasir Oyelowo, Ibrahim A Saidu, Tunde T Sholadoye, Ibrahim Sufyan, Musliu Adetola Tolani, Aliyu Muhammad Tukur, Ahmad Shehu Umar, Aminatu M Umar, Hajara Umaru-Sule, Mohammed Usman, Alfa Yakubu, Salisu Abeku Yusuf, Abdulhafiz A Abdulkarim, Lawal Barau Abdullahi, Khadija A Ado, Nura U Aliyu, Lofty-John Chukwuemeka Anyanwu, Sulaiman M Daneji, Mahmoud Kawu Magashi, Mohammad A Mohammad, Abubakar Bala Muhammad, Saminu S Muhammad, Bello Abodunde Muideen, Calistus U Nwachukwu, Suleiman B Sallau, Abdulrahman A Sheshe, Abdulmajeed Soladoye, Idris Usman Takai, Garzali I Umar, Abubakar Yahaya, Lubabatu Abdulrasheed, Joel A Adze, Lydia R Airede, Bashiru Aminu, Stephen B Bature, Firdaws Bello-Tukur, Damai Chinyio, SharonA N Duniya, Moses C Galadima, Babatunde K Hamza, Samaila Joshua, Stephen A Kache, Williams Y Kagomi, Ifeanyi A Kene, Jamila Lawal, Jerry G Makama, Caleb Mohammed, Amina A Mohammed-Durosinlorun, Deborah Nuwam, Abdulrasheed Sani, Salome Tabara, Mathew C Taingson, Emmanuel Usam, Josiah Yakubu, Folasade Adegoke, Oluwasuyi Ige, Tunde A Odunafolabi, Chukwuma E Okereke, Oluwafemi O Oladele, Oluwaseun H Olaleye, Oyetunde O Olubayo, Olukayode P Abiola, Henry O Abiyere, Idowu O Adebara, GbadeboT C Adeleye, Adebayo A Adeniyi, Olumide E Adewara, Olabisi T Adeyemo, Ademola A Adeyeye, Abimbola L Ariyibi, Babatunde S Awoyinka, Olumide M Ayankunle, Olakunle F Babalola, Adewumi Bakare, TajudeenI B Bakare, Oluseyi O Banjo, Peter A Egharevba, Oluwafemi S Fatudimu, John A Obateru, Oluremi J Odesanya, Owolabi D Ojo, Abiodun I Okunlola, Cecilia K Okunlola, Adewale T Olajide, Tesleem O Orewole, Adedayo I Salawu, Moruf A Abdulsalam, Aderinsola T Adelaja, Olalekan T Ajai, Noble Anyanwu, Kazeem M Atobatele, Oludayo Oluwaseyi Bakare, Omolara M Faboya, Francisca C Nwaenyi, Ayokunle A Ogunyemi, Mobolaji A Oludara, Olufunmilade A Omisanjo, Chinonso U Onyeka, Olabode A Oshodi, Yusuf A Oshodi, Omotade S Salami, Omolara M Williams, Esther Abunimye, Adebunmi Adeoluwa, Adedotun Adesiyakan, Victoria Ibukunoluwa Adeyeye, Moses Vincent Agbulu, David O Akinboyewa, Iyabo O Alasi, Michael Amao, Christiana Ashley-Osuzoka, Oluwole A Atoyebi, Olanrewaju S Balogun, Maryam Oluwatobi Busari, Nnamdi Jonathan Duru, Glory Bassey Edet, Olumide A Elebute, Francis Chinonso Ezenwankwo, Adedeji L Fatuga, Christianah Gbenga-Oke, Emmanuel Sylvester Inyang, Adesola I Jimoh, Jubril Oladayo Kuku, OluwaseunA Ladipo-Ajayi, Abdulrazzaq O Lawal, Christian Chigoze Makwe, Chinelo Victoria Mgbemena, Samuel U Nwokocha, Moses Adebisi Ogunjimi, Ephraim Okwudiri Ohazurike, Rufus W Ojewola, Moyosoluwa Eunice Badedale, Chike J Okeke, Adeyemi A Okunowo, Abraham T Oladimeji, Thomas O Olajide, Olabisi Olanrewaju, Olawunmi Olayioye, Oluwaseun O Oluseye, Stephen Olutola, Kenneth Onyekachi, Adeola Ayoola Orowale, Emili Osariemen, Adedapo Olumide Osinowo, Emmanuel Owie, Christianah Bidemi Oyegbola, Justina OSeyi-Olajide, AdaiahP Soibi-Harry, Manuella Talla Timo, Aloy Okechukwu Ugwu, Emmanuel Ojo Williams, Innocent O Duruewuru, Ochonma A Egwuonwu, Okechukwu Hyginus Ekwunife, James J Emeka, Chimdiebele Daisy Nwosu, Sylvester O Obiechina, Ahuizechukwu E Obiesie, Celestine I Okafor, Theophilus O Okonoboh, Odili A Okoye, Onyekachi A Onu, Chukwudubem C Onyejiaka, Chisom Faith Uche, JosephO Ugboajah, Akeem A Adeleke, Akinfolarin C Adepiti, Adewale A Aderounmu, Abdulhafiz O Adesunkanmi, Adewale O Adisa, Samuel C Ajekwu, Olusegun K Ajenifuja, Olusegun I Alatise, Tajudeen A Badmus, Tajudeen O Mohammed, Abdulkadir A Salako, Oludayo A Sowande, Ademola O Talabi, Funmilola O Wuraola, Paul Aderemi Adegoke, Abidemi Akinloye, Ayodeji Akinniyi, Joseph Ejimogu, Ideyonbe Samuel Eseile, Olakayode Olaolu Ogundoyin, Amos Okedare, Dare Isaac Olulana, Omolara Omotola, Francis Sanwo, Collins C Adumah, Adewale O Ajagbe, Olugbenga P Akintunde, Opeyemi Q Asafa, Kehinde Awodele, Amogu K Eziyi, Adeniyi O Fasanu, Olufemi O Ojewuyi, Abiodun R Ojewuyi, Abisola E Oyedele, Oluwaseun A Taiwo, Habiba I Abdullahi, Nathaniel D Adewole, Teddy E Agida, Eunice E Ailunia, Oseremen Aisuodionoe-Shadrach, Godwin O Akaba, Janet Alfred, Terkaa Atim, Kehinde G Bawa, John Y Chinda, Esther B Daluk, Sefiu B Eniola, Augusta O Ezenwa, Stephen E Garba, Philip M Mshelbwala, Ngozi O Ndukwe, Idoko P Ogolekwu, Alexander A Ohemu, Samuel A Sani, Salisu Suleiman, Helen Sunday, Nancy O Tabuanu, Aminu M Umar, Peter I Agbonrofo, Alexander I Arekhandia, Morrison E Edena, Raymond A Eghonghon, Joel E Enaholo, Genesis Ida, Stanley N Ideh, Oseihie I Iribhogbe, Omorodion O Irowa, Maradona E Isikhuemen, Oluwatomi R Odutola, Kester O Okoduwa, Scott O Omorogbe, David Oruade, Osasumwen T Osagie, Osarenkhoe Osemwegie, RukiyatA Abdus-Salam, Sikiru Adekola Adebayo, Oluwasanmi A Ajagbe, Gboyega Ajibola, Kelvin I Egbuchulem, Hyginus O Ekwuazi, Adegbolahan Fakoya, Oluwasegun C Idowu, David O Irabor, Taiwo A Lawal, Olakayode O Ogundoyin, Oluwabukade Ojediran, Naomi Olagunju, Akinsola T Sanusi, Augustine O Takure, Lukman Olajide Abdur-Rahman, Mary Oluwadamilola Adebisi, Nurudeen Abiola Adeleke, Rafiat Tinuola Afolabi, Isiaka Ishola Aremu, Jibril Oyekunle Bello, Robiat Bello, Saheed Abolade Lawal, Adeolu Ojajuni, Sabur Oyewale, Victor Abhulimen, Patrick O Igwe, Ikechukwu Enyinnaya Iweha, Raphael E John, Nnyonno Okoi, Philemon E Okoro, Vaduneme Kingsley Oriji, Ibiene T Oweredaba, Japhet Mizero, Immaculee Mutimamwiza, Francoise Nirere, Irenee Niyongombwa, Jean Paul Majyabere, Anastase Byaruhanga, Rongin Dukuzimana, Jean Aimable Habiyakare, Marie Gloriose Nabada, Marcel Uwizeye, Mathias Ruhosha, Joselyne Igiraneza, Faustine Ingabire, Aloys Karekezi, Jean pierre Masengesho, Lydia Mukamazera, Clemence Mukangabo, Jean Paul Niyomuremyi, Gabriel Ntwari, Celestin Seneza, Divine Umuhoza, Pierrine Nyirangeri, Jean Claude Uwimana, Isaie Sibomana, Desire Rubanguka, Josine Umuhoza, Roda Uwayezu, Leoncie Uzikwambara, Herbert Butana, Moise Dusabeyezu, Athanasie Mukasine, Jean N Utumatwishima, Mediatrice Batangana, Jeande Dieu Haragirimana, AllenJ C Ingabire, Espoir Mwungura, Dancilla Nyirasebura, Christian Jean Urimubabo, Anaclet Dusabimana, Sam Kanyesigye, Robert Munyaneza, Jean Yves Shyirakera, Aimee Domingo, Philip Munda, Chido Nyatsambo, Victor Ojo, Rudo Pswarayi, and Soeren Laurberg

Subjects
Medicine (General), R5-920, Infectious and parasitic diseases, RC109-216
Published
2024
Full Text
View/download PDF

31. RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification

Author

Rana, Ashish, Khanna, Deepanshu, Ghosal, Tirthankar, Singh, Muskaan, Singh, Harpreet, and Rana, Prashant Singh

Subjects
Computer Science - Computation and Language
Abstract

Exponential growth in digital information outlets and the race to publish has made scientific misinformation more prevalent than ever. However, the task to fact-verify a given scientific claim is not straightforward even for researchers. Scientific claim verification requires in-depth knowledge and great labor from domain experts to substantiate supporting and refuting evidence from credible scientific sources. The SciFact dataset and corresponding task provide a benchmarking leaderboard to the community to develop automatic scientific claim verification systems via extracting and assimilating relevant evidence rationales from source abstracts. In this work, we propose a modular approach that sequentially carries out binary classification for every prediction subtask as in the SciFact leaderboard. Our simple classifier-based approach uses reduced abstract representations to retrieve relevant abstracts. These are further used to train the relevant rationale-selection model. Finally, we carry out two-step stance predictions that first differentiate non-relevant rationales and then identify supporting or refuting rationales for a given claim. Experimentally, our system RerrFact with no fine-tuning, simple design, and a fraction of model parameters fairs competitively on the leaderboard against large-scale, modular, and joint modeling approaches. We make our codebase available at https://github.com/ashishrana160796/RerrFact., Comment: Accepted in the AAAI-22 Workshop on Scientific Document Understanding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (SDU@AAAI-22)

Published
2022

32. An Architecture for Exploiting Native User-Land Checkpoint-Restart to Improve Fuzzing

Author

Chouhan, Prashant Singh, Price, Gregory, and Cooperman, Gene

Subjects
Computer Science - Cryptography and Security, D.2.7
Abstract

Fuzzing is one of the most popular and widely used techniques to find vulnerabilities in any application. Fuzzers are fast enough, but they still spend a good portion of time to restart a crashed application and then fuzz it from the beginning. Fuzzing an application from a point deeper in the execution is also important. To do this, a user needs to take a snapshot of the program while fuzzing it on top of an emulator, virtual machine, or by utilizing a special kernel module to enable checkpointing. Even with this ability, it can be difficult to attach a fuzzer after restoring a checkpoint. As a result, most fuzzers leverage a form of fork-server design. We propose a novel testing architecture that allows users to attach a fuzzer after the program has started running. We do this by natively checkpointing the target application at a point of interest, and attaching the fuzzer after restoring the checkpoint. A fork-server may even be engaged at the point of restoration. This not only improves the throughput of the fuzzing campaign by minimizing startup time, but opens up a new way to fuzz applications. With this architecture, a user can take a series of checkpoints at points of interest, and run parallel tests to reduce the overall state-complexity of an individual test. Checkpoints allow us to begin fuzzing from a deeper point in the execution path, omitting prior execution from the required coverage path. This and other checkpointing techniques are described in the paper to help improve fuzzing., Comment: 9 pages, 4 figures

Published
2021

40. Rate and risk factors of kidney function decline among South Asians with type 2 diabetes: analysis of the CARRS Trial

Author

Dorairaj Prabhakaran, Kavita Singh, Shuchi Anand, Dimple Kondal, Nikhil Tandon, K M Venkat Narayan, Rajesh Khadgawat, Nikhil M Bhagwat, Kanika Aggarwal, Mohammed K Ali, Adeel Khan, Vivek Mathew, Ankush Desai, Prem Pais, Prashant Singh, Ram Jagannathan, Mala Dharmalingam, Abdul Jabbar, Sabahat Naz, Imran Naeem, Premlata K Varthakavi, Prerna Gupta, Rakesh Kumar Sahay, Nandini Menon, Manoj D Chadha, Roshan D’Britto, Vaibhavi Mungekar, Rohini Gajare, Abhishek Matkar, Charul Arora, Isha Verma, Yogesh Varge, K Neelaveni, A Prashanthi, Priyanka Parvatini, Ramachandra Reddy, Kedareshwar Narvencar, Vivek Naik, Prashant Ramesh Navelkar, Praciya Gaonkar, Rupali Naik, Santoshi Malkarnekar, Aparna Pai, Mansi Chopra, Samita Ambekar, Manish Sachdeva, Bhanvi Arora, Ganapati Bantwal, Vaggesh Aiyyar, Anantharaman Ramakrishnan, Sudha Suresh, AG Unnikrishnan, V Usha Menon, VP Praveen, Nisha Bhavani, Nithya Abraham, Akhila Ghosh, PV Nimmi, K Kamaljith, Vijay Vishwanathan, M Jai Ganesh, M Anand Kumar, K Anitha, Kavya, Muhammad Qamar Masood, Hassan Daudzai, and Nida Zaidi

Subjects
Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Introduction People with diabetes are at risk of developing chronic kidney disease. However, limited data are available to quantify their risk of kidney function decline in South Asia. This study evaluates the rate and predictors of kidney function decline among people with type 2 diabetes in South Asia.Research design and methods We analyzed data from the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) Trial to quantify the rate of decline in estimated glomerular filtration rate (eGFR) in people with type 2 diabetes (n=1146) over 2.5 years of follow-up. The CARRS Trial evaluated a multicomponent intervention of decision-supported electronic health records and non-physician care coordinator to improve diabetes management at 10 diabetes clinics in India and Pakistan. We used linear mixed models to estimate eGFR slope among all participants and tested the association of eGFR slope with demographic, disease-related, and self-care parameters, accounting for randomization and site.Results The mean age of participants was 54.2 years, with a median duration of diabetes of 7.0 years (IQR: 3.0 - 12.0) and median CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) eGFR of 83.6 (IQR: 67.7 to 97.9) mL/min/1.73 m2. The overall mean eGFR slope was −1.33/mL/min/1.73 m2/year. There were no differences in the eGFR slope by treatment assignment to intervention versus usual care. In the adjusted regression model, pre-existing diabetic retinopathy (slope difference: −2.11; 95% CI: −3.45 to –0.77), previous cardiovascular disease (−1.93; 95% CI: −3.45 to –0.40), and statins use (−0.87; 95% CI: −1.65 to –0.10) were associated with faster eGFR decline.Conclusions People with diabetes receiving care at urban diabetes clinics in South Asia experienced annual eGFR decline at two times higher rate than that reported from other contemporary international diabetes cohorts. Risk factors for faster decline were similar to those previously established, and thus care delivery models must put an additional emphasis on kidney protective therapies among subgroups with microvascular and macrovascular diabetes complications.Trial registration number NCT01212328.

Published
2024
Full Text
View/download PDF

41. Green nanoparticles for advanced corrosion protection: Current perspectives and future prospects

Author

Sandeep Yadav, Anirudh P.S. Raman, Madhur B. Singh, Iona Massey, Prashant Singh, Chandrabhan Verma, and Akram AlFantazi

Subjects
Green nanoparticles, Green corrosion inhibitors, Sustainable nanoparticles, Eco-friendly alternatives and natural corrosion inhibitors, Materials of engineering and construction. Mechanics of materials, TA401-492, Industrial electrochemistry, TP250-261
Abstract

The article discusses the function of green nanoparticles in preventing corrosion of different alloys such as copper, zinc, steel, and aluminium alloys. Green nanoparticles are characterized by their environmentally friendly and sustainable production methods, which emphasize using natural materials. Environmental issues have long been linked to traditional corrosion inhibitors, which has led to a shift towards more environmentally friendly alternatives. A potential remedy for these issues is the use of green nanoparticles, which are derived from renewable and biodegradable resources. Green nanoparticles support sustainability goals and have strong corrosion inhibition properties. Their combined role makes them essential players in a future where environmental awareness and material safety coexist. The review envisages a significant paradigm shift in critical industrial contexts, which calls for a robust and ecologically friendly approach to corrosion prevention. Green nanoparticles can potentially transform the field of materials protection entirely, and their investigation as corrosion inhibitors opens up new directions for study and development. In conclusion, this review highlights the crucial role of these nanoparticles in creating a sustainable future where creative solutions will enhance industrial productivity and environmental well-being. Finally, the prospects and difficulties of sustainably applying green nanoparticles to corrosion inhibition have also been explored.

Published
2024
Full Text
View/download PDF

45. Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC

Author

Chouhan, Prashant Singh, Khetawat, Harsh, Resnik, Neil, Jain, Twinkle, Garg, Rohan, Cooperman, Gene, Hartman-Baker, Rebecca, and Zhao, Zhengji

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Checkpoint/restart (C/R) provides fault-tolerant computing capability, enables long running applications, and provides scheduling flexibility for computing centers to support diverse workloads with different priority. It is therefore vital to get transparent C/R capability working at NERSC. MANA, by Garg et. al., is a transparent checkpointing tool that has been selected due to its MPI-agnostic and network-agnostic approach. However, originally written as a proof-of-concept code, MANA was not ready to use with NERSC's diverse production workloads, which are dominated by MPI and hybrid MPI+OpenMP applications. In this talk, we present ongoing work at NERSC to enable MANA for NERSC's production workloads, including fixing bugs that were exposed by the top applications at NERSC, adding new features to address system changes, evaluating C/R overhead at scale, etc. The lessons learned from making MANA production-ready for HPC applications will be useful for C/R tool developers, supercomputing centers and HPC end-users alike.

Published
2021

50. Systematically designing better instance counting models on cell images with Neural Arithmetic Logic Units

Author

Rana, Ashish, Singh, Taranveer, Singh, Harpreet, Kumar, Neeraj, and Rana, Prashant Singh

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

The big problem for neural network models which are trained to count instances is that whenever test range goes high training range generalization error increases i.e. they are not good generalizers outside training range. Consider the case of automating cell counting process where more dense images with higher cell counts are commonly encountered as compared to images used in training data. By making better predictions for higher ranges of cell count we are aiming to create better generalization systems for cell counting. With architecture proposal of neural arithmetic logic units (NALU) for arithmetic operations, task of counting has become feasible for higher numeric ranges which were not included in training data with better accuracy. As a part of our study we used these units and different other activation functions for learning cell counting task with two different architectures namely Fully Convolutional Regression Network and U-Net. These numerically biased units are added in the form of residual concatenated layers to original architectures and a comparative experimental study is done with these newly proposed changes. This comparative study is described in terms of optimizing regression loss problem from these models trained with extensive data augmentation techniques. We were able to achieve better results in our experiments of cell counting tasks with introduction of these numerically biased units to already existing architectures in the form of residual layer concatenation connections. Our results confirm that above stated numerically biased units does help models to learn numeric quantities for better generalization results., Comment: * code repository for project: https://github.com/ashishrana160796/nalu-cell-counting

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results