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Your search keyword '"Khan, Yousuf A."' showing total 235 results
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235 results on '"Khan, Yousuf A."'

1. Accurate structure prediction of biomolecular interactions with AlphaFold 3

Author

Abramson, Josh, Adler, Jonas, Dunger, Jack, Evans, Richard, Green, Tim, Pritzel, Alexander, Ronneberger, Olaf, Willmore, Lindsay, Ballard, Andrew J., Bambrick, Joshua, Bodenstein, Sebastian W., Evans, David A., Hung, Chia-Chun, O’Neill, Michael, Reiman, David, Tunyasuvunakool, Kathryn, Wu, Zachary, Žemgulytė, Akvilė, Arvaniti, Eirini, Beattie, Charles, Bertolli, Ottavia, Bridgland, Alex, Cherepanov, Alexey, Congreve, Miles, Cowen-Rivers, Alexander I., Cowie, Andrew, Figurnov, Michael, Fuchs, Fabian B., Gladman, Hannah, Jain, Rishub, Khan, Yousuf A., Low, Caroline M. R., Perlin, Kuba, Potapenko, Anna, Savy, Pascal, Singh, Sukhdeep, Stecula, Adrian, Thillaisundaram, Ashok, Tong, Catherine, Yakneen, Sergei, Zhong, Ellen D., Zielinski, Michal, Žídek, Augustin, Bapst, Victor, Kohli, Pushmeet, Jaderberg, Max, Hassabis, Demis, and Jumper, John M.

Published
2024
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2. covLLM: Large Language Models for COVID-19 Biomedical Literature

Author

Khan, Yousuf A., Hokia, Clarisse, Xu, Jennifer, and Ehlert, Ben

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

The COVID-19 pandemic led to 1.1 million deaths in the United States, despite the explosion of coronavirus research. These new findings are slow to translate to clinical interventions, leading to poorer patient outcomes and unnecessary deaths. One reason is that clinicians, overwhelmed by patients, struggle to keep pace with the rate of new coronavirus literature. A potential solution is developing a tool for evaluating coronavirus literature using large language models (LLMs) -- neural networks that are deployed for natural language processing. LLMs can be used to summarize and extract user-specified information. The greater availability and advancement of LLMs and pre-processed coronavirus literature databases provide the opportunity to assist clinicians in evaluating coronavirus literature through a coronavirus literature specific LLM (covLLM), a tool that directly takes an inputted research article and a user query to return an answer. Using the COVID-19 Open Research Dataset (CORD-19), we produced two datasets: (1) synCovid, which uses a combination of handwritten prompts and synthetic prompts generated using OpenAI, and (2) real abstracts, which contains abstract and title pairs. covLLM was trained with LLaMA 7B as a baseline model to produce three models trained on (1) the Alpaca and synCovid datasets, (2) the synCovid dataset, and (3) the synCovid and real abstract datasets. These models were evaluated by two human evaluators and ChatGPT. Results demonstrate that training covLLM on the synCovid and abstract pairs datasets performs competitively with ChatGPT and outperforms covLLM trained primarily using the Alpaca dataset.

Published
2023

9. Security Challenges of Blockchain

Author

Khan, Yousuf, Goyal, S. B., Bedi, Pradeep, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Sasaki, Hideyasu, editor, Rios, Ricardo, editor, Gandhi, Niketa, editor, Singh, Umang, editor, and Ma, Kun, editor

Published
2021
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11. Applications of Dynamical Systems in Engineering

Author

Khan, Yousuf Ibrahim

Subjects
Computer Science - Systems and Control
Abstract

This paper presents the current possible applications of Dynamical Systems in Engineering. The applications of chaos, fractals have proven to be an exciting and fruitful endeavor. These applications are highly diverse ranging over such fields as Electrical, Electronics and Computer Engineering. Dynamical Systems theory describes general patterns found in the solution of systems of nonlinear equations. The theory focuses upon those equations representing the change of processes in time. This paper offers the issue of applying dynamical systems methods to a wider circle of Engineering problems. There are three components to our approach: ongoing and possible applications of Fractals, Chaos Theory and Dynamical Systems. Some basic and useful computer simulation of Dynamical System related problems have been shown also., Comment: 32 Pages

Published
2013

12. Image based Cryptography from a distance

Author

Khan, Yousuf Ibrahim

Subjects
Computer Science - Cryptography and Security
Abstract

An information is a message which is received and understood. Information can be sent one person to another over a long range but the process of sending information must be done in a secure way especially in case of a private message. Mathematicians and Engineers have historically relied on different algorithmic techniques to secure messages and signals. Cryptography, to most people, is concerned with keeping communications private. Indeed, the protection of sensitive communications has been the emphasis of cryptography throughout much of its history. Sometimes it is safer to send a message using an image and thus cryptography can also be done using images during an emergency. The need to extract information from images and interpret their contents has been one of the driving factors in the development of image processing and cryptography during the past decades. In this paper, a simple cryptographic method was used to decode a message which was in an image and it was done using a popular computational software.

Published
2012

13. Advances in the Synthesis of Spirocyclic Nucleosides.

Author

Kumar, Sumit, Khan, Yousuf, Arora, Aditi, Kumar, Manish, Rungta, Pallavi, Singh, Brajendra K., Sharma, Vivek K., and Singh, Sunil K.

Subjects
*NUCLEOSIDE derivatives, *URACIL derivatives, *NUCLEOSIDE synthesis, *GLYCOLS, *TENOFOVIR, *ENVIRONMENTAL chemistry, *CORONAVIRUS disease treatment, *BIOCHEMISTRY, *ORGANIC chemistry
Abstract

This document is a tribute to the late Professor Ashok K. Prasad from the University of Delhi in India. The authors express their gratitude for Professor Prasad's contributions to the field of chemistry and highlight his expertise and impact on his students and the scientific community. The document serves as a dedication to Professor Prasad's legacy and his significant role in advancing chemistry in India. [Extracted from the article]

Published
2024
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23. Analytic Preview of Spectral Contribution of the Neutrinos Emission from Deep Space during Specified Period

Author

Syed Muhammad Ali Abbas Naqvi, Faisal Ahmed Khan Afridi, Bulbul Jan, Muhammad Ayub Khan Yousuf Zai, Mirza Jawad Baig, Arshad Hussain, Syed Muhammad Haroon Rashid, and Abid Hussain

Subjects
General Computer Science, Astrophysics::High Energy Astrophysical Phenomena, General Physics and Astronomy, High Energy Physics::Experiment, General Materials Science
Abstract

The earlier period investigations of Neutrinos emission from deep space indicate the existence of this particle which has been detected in various laboratories of the world. These laboratories are responsible for recording neutrinos emission originated from deep space. One laboratory situated near Sudbury, Ontario, Canada known as Sudbury Neutrino Observatory (SNO). Another laboratory is in Japan known as Kamikanado. We obtained a set of observations from both labs. It is obvious that the observations recorded at SNO have been utilized in this manuscript. From the same communication, the neutrino behaviour could be better understood by analyzing the SNO observed data set-I from November 1999 to May 2001 of D2O, while dataset-II is from July 2001 to August 2003 of salt water with particulars recorded, Run start Time since midnight. The samples used in this paper are 250 entries from both the observations sets. In this presentation, the most spectacular exhibition of the neutrino flux in its frequency components of the particles have been depicted in the form of a Periodogram that identifies covariance structure in the neutrino flux reaching this biosphere and parametric values obtained in this paper have been tabulated in various table frame of work. This communication does claim the neutrino emission characteristics in the real world. It has also been known from the literature survey that the same kind of work has not been framed in the third world countries where no neutrino detection laboratories exist. This piece of information will be beneficial for the private and public organizations where the experts are trying to explore deep space emissions detection and their characterization like the present study.

Published
2022

26. Efficacy of Non-Linear Approach in the Study of Ozone Layer Depletion

Author

null M. Ayub Khan Yousuf Zai, null M. Rashid Kamal Ansari, null Afaq Ahmed Siddiqui, and null Faisal Ahmed Khan Afridi

Subjects
Nonlinear system, Chemistry, Environmental chemistry, Ozone depletion
Abstract

The stratosphere is one of the constituents of thermal structure of the atmosphere. The maximum concentration of ozone is found at the stratospheric region where it is interacted by many species including chemical and physical processes. Atmosphere as a whole is an open system that is regarded as a non linear system and that seems to be complex. Therefore, a non-linear trend is plausible to explain phenomenon of ozone layer depletion (OLD). In this manuscript we have paid our attention in the analysis of the major portion of historic data on stratospheric O3based on ground-based measurements by the Dobson Spectrophotometer. In this communication we have estimated parameters for describing non-linearity in the process using polynomial trend functions and predicted values are calculated for the period from 1960 to 1999. Future values for ozone depths are computed till 2006 and compared with the minor portion of the data set.

Published
2021

35. Investigating the Influence of Cosmic Rays on Ozone Layer Depletion at Beijing, China

Author

null Bulbul Jan and null M. Ayub Khan Yousuf Zai

Subjects
Beijing, Environmental science, Cosmic ray, China, Atmospheric sciences, Ozone depletion
Abstract

In the present study monthly and annually data of ozone depth and cosmic rays (CRs) intensity at China Beijing during the period of 1984-2010 have been analyzed to investigate the effects of cosmic rays intensity on ozone layer depletion (OLD). This communication implements statistical analysis on the data sets for the specified period mentioned above. The analyses exhibit that mean monthly variation of cosmic rays intensity increases. Our investigation claims that in the month of May (1984-2010) changes occurred in the decrease the ozone depth due to the increase in cosmic rays intensity .This sort of study confirms cosmic rays influence on the ozone layer depletion.

Published
2021

46. Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism

Author

Masud, Usman, primary, Amirzada, Muhammad Rizwan, additional, Elahi, Hassan, additional, Akram, Faraz, additional, Zeeshan, Ahmed, additional, Khan, Yousuf, additional, Ehsan, Muhammad Khurram, additional, Qureshi, Muhammad Aasim, additional, Ali, Aasim, additional, Nawaz, Sajid, additional, and Ghafoor, Usman, additional

Published
2022
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49. Cryo-EM, Protein Engineering, and Simulation Enable the Development of Peptide Therapeutics against Acute Myeloid Leukemia

Author

Zhang, Kaiming, primary, Horikoshi, Naoki, additional, Li, Shanshan, additional, Powers, Alexander S., additional, Hameedi, Mikhail A., additional, Pintilie, Grigore D., additional, Chae, Hee-Don, additional, Khan, Yousuf A., additional, Suomivuori, Carl-Mikael, additional, Dror, Ron O., additional, Sakamoto, Kathleen M., additional, Chiu, Wah, additional, and Wakatsuki, Soichi, additional

Published
2022
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