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2. SRQL Index: An Assessment Tool to Promote Sustainability, Resilience, and Quality of Life in Informal Settlements in Egypt

Author

Ahmed, Salwa A. M., Youssef, Khaled A., Abdallah, Amr, Abdelmagid, Khaled S., Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Battisti, Alessandra, editor, Piselli, Cristina, editor, Strauss, Eric J, editor, Dobjani, Etleva, editor, and Kristo, Saimir, editor

Published
2024
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3. Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys

Author

Vazquez, Guillermo, Singh, Prashant, Sauceda, Daniel, Couperthwaite, Richard, Britt, Nicholas, Youssef, Khaled, Johnson, Duane D., and Arróyave, Raymundo

Subjects
Condensed Matter - Materials Science
Abstract

We combined descriptor-based analytical models for stiffness-matrix and elastic-moduli with mean-field methods to accelerate assessment of technologically useful properties of high-entropy alloys, such as strength and ductility. Model training for elastic properties uses Sure-Independence Screening (SIS) and Sparsifying Operator (SO) method yielding an optimal analytical model, constructed with meaningful atomic features to predict target properties. Computationally inexpensive analytical descriptors were trained using a database of the elastic properties determined from density functional theory for binary and ternary subsets of Nb-Mo-Ta-W-V refractory alloys. The optimal Elastic-SISSO models, extracted from an exponentially large feature space, give an extremely accurate prediction of target properties, similar to or better than other models, with some verified from existing experiments. We also show that electronegativity variance and elastic-moduli can directly predict trends in ductility and yield strength of refractory HEAs, and reveals promising alloy concentration regions., Comment: 17 Pages; 10 Figures; 3 Tables

Published
2022
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4. Landslide Susceptibility Modeling by Interpretable Neural Network

Author

Youssef, Khaled, Shao, Kevin, Moon, Seulgi, and Bouchard, Louis-Serge

Subjects
Computer Science - Machine Learning, Physics - Data Analysis, Statistics and Probability, Physics - Geophysics
Abstract

Landslides are notoriously difficult to predict because numerous spatially and temporally varying factors contribute to slope stability. Artificial neural networks (ANN) have been shown to improve prediction accuracy but are largely uninterpretable. Here we introduce an additive ANN optimization framework to assess landslide susceptibility, as well as dataset division and outcome interpretation techniques. We refer to our approach, which features full interpretability, high accuracy, high generalizability and low model complexity, as superposable neural network (SNN) optimization. We validate our approach by training models on landslide inventory from three different easternmost Himalaya regions. Our SNN outperformed physically-based and statistical models and achieved similar performance to state-of-the-art deep neural networks. The SNN models found the product of slope and precipitation and hillslope aspect to be important primary contributors to high landslide susceptibility, which highlights the importance of strong slope-climate couplings, along with microclimates, on landslide occurrences., Comment: 79 pages (including SI section); 8 main figures; 12 supplementary figures; 9 supplementary tables

Published
2022

5. Dedicated anticoagulation management protocols in fragility femoral fracture care – a source of significant variance and limited effectiveness in improving time to surgery: The hip and femoral fracture anticoagulation surgical timing evaluation (HASTE) study

Author

Smith, Matthew, Yoong, Andrel, Lim, Jun Wei, Yousef, Omar, McDonald, Stephen, Chileshe, Chinga, Ramus, Camilla, Clements, Christopher, Barrett, Liam, Rockall, Oliver, Geetala, Rahul, Islam, Saif Ul, Nasar, Ahmad, Almond, Kieran, Hassan, Ladan Fatima Yusuf, Shah, Sohan, Brand, Robert Bruce, Yawar, Bakhat, Gilmore, Catherine, McAuley, Daryl, Khan, Waleed, Subramanian, Padmanabhan, Ahluwalia, Aashish, Ozbek, Leyla, Awasthi, Prashant, Sheikh, Hassaan, Barkley, Sarah, Ardolino, Toni, Denning, Alexander, Thiruchandran, Gaj, Fraig, Hossam, Salim, Omar, Iqbal, Rabia, Guy, Stephen, Hogg, Jack, Bagshaw, Oliver, Asmar, Samir, Mitchell, Stephen, Quek, Fang, Fletcher, James, French, Jonathan, Graham, Selina, Sloper, Philip, Sadique, Hammad, Matera, Valentina, Sohail, Zain, Leong, Justin Wei, Issa, Fares, Greasley, Lauren, Marsden, Samuel, Parry, Lucy, Mannan, Syed, Zaheen, Humayoon, Moriarty, Peter, Manning, William, Morris, Timothy, Brockbanks, Carole, Ward, Peter, Pearce, Kim, McMenemy, Louise, Mahmoud, Mohamed, Kieffer, Will, Lal, Aayush, Collis, Justin, Chandrasekaran, Karthik, Foxall-Smith, Michael, Raad, Marjan, Kempshall, Peter, Cheuk, Jocelyn, Leckey, Sam, Gupta, Rishav, Engelke, Daniel, Kemp, Mark, Venkatesan, Aakaash, Hussain, Adnan, Simons, Michiel, Raghavendra, Ram Mohan, Rohra, Satish, Deo, Sunny, Vasarhelyi, Ferenc, Thelwall, Claire, Cullen, Krista, Al-Obaidi, Bilal, Fell, Adam, Thaumeen, Ahmad, Dadabhoy, Maria, Ali, Mira, Ijaz, Sameer, Lin, David, Khan, Basharat, Alsonbaty, Mohamed, Lebe, Moritz, Millan, Ravi Kant, Imam, Sam, Theobald, Emma, Cormack, Jonathan, Sharoff, Lokesh, Eardley, Will, Jeyapalan, Rathan, Alcock, Liam, Clayton, Julia, Bates, Natalie, Mahmoud, Yousif, Osborne, Alex, Ralhan, Shvaita, Carpenter, Catriona, Ahmad, Mahmood, Ravi, Sanjeev Musuvathy, Konbaz, Tarek, Lloyd, Thomas, Sheikh, Nomaan, Swealem, Ahmed, Soroya, Emma, Rayan, Faizal, Ward, Thomas, Vasireddy, Aswinkumar, Clarke, Ellisiv, Sikdar, Oishi, Smart, Yat Wing, Windley, Joseph, Ilagan, Belen, Brophy, Edel, Joseph, Sarah, Lowery, Kathryn, Jamjoom, Ammer, Ismayl, Ghiath, Aujla, Randeep, Sambhwani, Sharan, Ramasamy, Arul, Khalaf, Ahmed, Ponugoti, Nikhil, Teng, Wai Huang, Masud, Saqib, Otoibhili, Eghe, Clarkson, Martin, Nafea, Mohamed, Sarhan, Mohamed, Hanna, Shady, Kelly, Andrew, Curtis, Alex, Gourbault, Lysander, Tarhini, Mariam, Platt, Nicholas, Fleming, Thomas, Pemmaraju, Gopalakrishna, Choudri, Mohammed Junaid, Burahee, Abdus, Hassan, Labiba, Hamid, Laveeza, Loveday, David, Edres, Kareem, Schankat, Kerstin, Granger, Luke, Goodbun, Matthew, Parikh, Sunny, Johnson-Lynn, Sarah, Griffiths, Alexandra, Rai, Avinash, Chandler, Henry, Guiot, Luke, Appleyard, Thomas, Robinson, Karen, Fong, Angus, Watts, Anna, Stedman, Tobias, Walton, Victoria, Inman, Dominic, Liaw, Frank, Hadfield, James, McGovern, Julia, Baldock, Thomas, White, Jonathan, Seah, Matthew, Jacob, Neville, Ali, Zaid Haj, Goff, Thomas, Sanalla, Ahmed, Gomati, Ayoub, Nordin, Louise, Hassan, Eslam, Ramadan, Omar, Teoh, Kar Hao, Baskaran, Dinnish, Ngwayi, James, Abbakr, Lina, Blackmore, Noah, Mansukhani, Sameer, Guryel, Enis, Harper, Adam, Cashman, Emily, Brooker, Joanne, Pack, Louise, Regan, Nora, Wagner, Wilhelm, Selim, Amr, Archer, Debbie, McConaghie, Gregory, Patel, Ravi, Gibson, William, Pasapula, Chandra S, Youssef, Hesham, Aziz, Md Abdul, Subhash, Sadhin, Banaszkiewicz, Paul, Elzawahry, Ahmed, Neo, Chryssa, Wei, Nicholas, Bhaskaran, Arun, Sharma, Abhishek, Factor, Danielle, Shahin, Fatma, Shields, David, Ferreira, Catarina Dores Fernandes, Jeyakumar, Gowsikan, Liao, Quintin, Sinnerton, Robert, Ashwood, Neil, Sarhan, Islam, Ker, Andrew, Phelan, Sean, Paxton, James, McAuley, Joseph, Moulton, Lawrence, Mohamed, Ahmed, Dias, Ana, Ho, Beatrice, Francis, Daniel, Miller, Sarah, Phillips, Jon, Jones, Robin, Arthur, Calum, Oag, Erlend, Thutoetsile, Kamogelo, Bell, Katrina, Milne, Kirsty, Whitefield, Reiss, Patel, Kuntal, Singh, Abhimanyu, Morris, Geraint, Parkinson, Dawn, Patil, Amogh, Hamid, Hassan, Syam, Kevin, Singh, Rohit, Menon, Deepak, Crooks, Sophie, Borland, Steven, Rohman, Adam, Nicholson, Alys, Smith, Ben, Hafiz, Nauman, Kolhe, Shivam, Waites, Matthew, Piper, Dani, Westacott, David, Grimshaw, Jessica, Bott, Alasdair, Berry, Alexander, Battle, Joseph, Flannery, Oliver, Iyengar, Karthikeyan P, Thakur, Abdul Wadood, Yousef, Mina, Bansod, Vaibhav, El-nahas, Walaa, Dawe, Edward, Oladeji, Emmanuel, Federer, Simon, Trompeter, Alex, Pritchard, Anna, Shurovi, Badrun, Jordan, Chris, Little, Max, Sivaloganathan, Sivanshankar, Shaunak, Shalin, Watters, Hazel, Luck, Joshua, Zbaeda, Mohamed, Frasquet-Garcia, Antonio, Warner, Christian, Telford, Jeremy, Rooney, Joanna, Attwood, Joseph, Wilson, Faye, Panagiotopoulos, Andreas, Keane, Conal, Scott, Helen, Mazel, Rebecca, Maggs, Joanna, Skinner, Edward, McMunn, Finlay, Lau, Joshua, Ravikumar, Kasetti, Thakker, Dev, Gill, Moneet, McCarthy, Phillip, Fossey, Gavin, Shah, Sohaib, McAlinden, Gavan, McGoldrick, Peter, O'Brien, Scarlett, Patil, Sunit, Millington, Antonia, Umar, Hamza, Sehdev, Simran, Dyer-Hill, Thomas, Yu Kwan, Tsun, Tanagho, Andy, Hagnasir, Ahmed, White, Thomas, Bano, Christopher, Kissin, Eleanor, Ghani, Rafia, Thomas, Philip S W, McMullan, Mark, Walmsley, Matthew, Elgendy, Mohamed, Winstanley, Robert, Round, Joanne, Baxter, Mark, Thompson, Emett, Hogan, Kathryn, Youssef, Khaled, Fetouh, Sherif, Hopper, Graeme P, Simpson, Cameron, Warren, Craig, Waugh, Dominic, Nair, Gopikrishnan, Ballantyne, Andy, Blacklock, Calum, O'Connell, Ciara, Toland, Gemma, McIntyre, Joshua, Ross, Lauren, Badge, Ravindra, Loganathan, Deeraj, Turner, Ian, Ball, Matthew, Maqsood, Saad, Deierl, Krisztian, Beer, Alexander, Tan, Arthur Chen Wun, Mackinnon, Thomas, Gade, Venkat, Gill, James, Yu San, Kay, Archunan, Maheswaran Warren, Shaikh, Mariyam, Ugbah, Onyinye, Uwaoma, Sade, Pillai, Anand, Nath, Upamanyu, Rohan, Farhan-Alanie, M. M., Dixon, J., Irvine, S., Walker, R., and Eardley, W. G. P.

Published
2024
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6. A Novel Watermarking Approach for Protecting Image Integrity based on a Hybrid Security Technique

Author

Nagm, Ahmad M., Torky, Mohamed, and Youssef, Khaled Y.

Subjects
Computer Science - Cryptography and Security
Abstract

Digital Photo images are everywhere around us in journals, on walls, and over the Internet. However we have to be conscious that seeing does not always imply reality. Photo images become a rich subject of manipulations due to the advanced digital cameras as well as photo editing software. Accordingly, image forgery is becoming much easier using the existing tools in terms of time and accuracy, and thus the forensics of detecting an image forgery case is becoming difficult and needs more and more time and techniques to prove the image originality especially as crime evidences and court related cases. In this paper, a framework with associated algorithms and methodologies is proposed to ensure the authenticity of the image and the integrity of the content in addition to protecting the photo image against forgery suspects. The framework depends on developing new generation of certified digital cameras that could produce authenticated and forgery-proof photos. The proposed methodology generates an irreversible hash integrity code from the image content based on color matrix calculations and steganography algorithms. The simulation results proved the capability of the proposed technique to detect image forgery cases in more than 16 scenarios of manipulation., Comment: 9 pages, 4 figures, 4 tables, International Journal of Computer Applications, Vol. 178, No.30, 14-22 July 2019, ISSN 0975-8887

Published
2021
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7. A New Approach for Image Authentication Framework for Media Forensics Purpose

Author

Nagm, Ahmad M, Youssef, Khaled Y, and Youssef, Mohammad I

Subjects
Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition
Abstract

With the increasing widely spread digital media become using in most fields such as medical care, Oceanography, Exploration processing, security purpose, military fields and astronomy, evidence in criminals and more vital fields and then digital Images become have different appreciation values according to what is important of carried information by digital images. Due to the easy manipulation property of digital images (by proper computer software) makes us doubtful when are juries using digital images as forensic evidence in courts, especially, if the digital images are main evidence to demonstrate the relationship between suspects and the criminals. Obviously, here demonstrate importance of data Originality Protection methods to detect unauthorized process like modification or duplication and then enhancement protection of evidence to guarantee rights of incriminatory. In this paper, we shall introduce a novel digital forensic security framework for digital image authentication and originality identification techniques and related methodologies, algorithms and protocols that are applied on camera captured images. The approach depends on implanting secret code into RGB images that should indicate any unauthorized modification on the image under investigation. The secret code generation depends mainly on two main parameter types, namely the image characteristics and capturing device identifier. In this paper, the architecture framework will be analyzed, explained and discussed together with the associated protocols, algorithms and methodologies. Also, the secret code deduction and insertion techniques will be analyzed and discussed, in addition to the image benchmarking and quality testing techniques., Comment: 11 pages, 19 figures and one table

Published
2021
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8. Architecture of Network Camera Photo Authentication Scheme using Steganography Approach

Author

Nagm, Ahmad M., Youssef, Khaled Y., and Youssef, Mohammad I.

Subjects
Computer Science - Cryptography and Security
Abstract

The aim of integrity protection process is not only to secure the send message, but also ensures that the original message is not modified during sending the message. In this paper, a novel proposed model is proposed to verify that the sent message was not modified. The proposed model starting with encrypting the original message and applying one of the hash functions on the message. The ciphered message, private key, and the output of hash function was reshaped to apply Discrete Cosine Transform (DCT), Zig-zag ordering, and Huffman coding to obtain a compressed text, this compressed text is then hidden in an image. The same steps with a reverse order are applied on the receiver to obtain the decrypted message and then apply the same hash function to verify that the message was not changed. Different experiments were conducted and the results demonstrated that the proposed model achieved high integrity protection., Comment: 6 Pages, 3 Figures. arXiv admin note: text overlap with arXiv:1401.5561 by other authors

Published
2021

9. The impact of anticoagulant medications on fragility femur fracture care: The hip and femoral fracture anticoagulation surgical timing evaluation (HASTE) study

Author

Smith, Matthew, Yoong, Andrel, Lim, Jun Wei, Yousef, Omar, McDonald, Stephen, Chileshe, Chinga, Ramus, Camilla, Clements, Christopher, Barrett, Liam, Rockall, Oliver, Geetala, Rahul, Islam, Saif Ul, Nasar, Ahmad, Almond, Kieran, Hassan, Ladan Fatima Yusuf, Shah, Sohan, Brand, Robert Bruce, Yawar, Bakhat, Gilmore, Catherine, McAuley, Daryl, Khan, Waleed, Subramanian, Padmanabhan, Ahluwalia, Aashish, Ozbek, Leyla, Awasthi, Prashant, Sheikh, Hassaan, Barkley, Sarah, Ardolino, Toni, Denning, Alexander, Thiruchandran, Gaj, Fraig, Hossam, Salim, Omar, Iqbal, Rabia, Guy, Stephen, Hogg, Jack, Bagshaw, Oliver, Asmar, Samir, Mitchell, Stephen, Quek, Fang, Fletcher, James, French, Jonathan, Graham, Selina, Sloper, Philip, Sadique, Hammad, Matera, Valentina, Sohail, Zain, Leong, Justin Wei, Issa, Fares, Greasley, Lauren, Marsden, Samuel, Parry, Lucy, Mannan, Syed, Zaheen, Humayoon, Moriarty, Peter, Manning, William, Morris, Timothy, Brockbanks, Carole, Ward, Peter, Pearce, Kim, McMenemy, Louise, Mahmoud, Mohamed, Kieffer, Will, Lal, Aayush, Collis, Justin, Chandrasekaran, Karthik, Foxall-Smith, Michael, Raad, Marjan, Kempshall, Peter, Cheuk, Jocelyn, Leckey, Sam, Gupta, Rishav, Engelke, Daniel, Kemp, Mark, Venkatesan, Aakaash, Hussain, Adnan, Simons, Michiel, Raghavendra, Ram Mohan, Rohra, Satish, Deo, Sunny, Vasarhelyi, Ferenc, Thelwall, Claire, Cullen, Krista, Al-Obaidi, Bilal, Fell, Adam, Thaumeen, Ahmad, Dadabhoy, Maria, Ali, Mira, Ijaz, Sameer, Lin, David, Khan, Basharat, Alsonbaty, Mohamed, Lebe, Moritz, Millan, Ravi Kant, Imam, Sam, Theobald, Emma, Cormack, Jonathan, Sharoff, Lokesh, Eаrdley, Will, Jeyapalan, Rathan, Alcock, Liam, Clayton, Julia, Bates, Natalie, Mahmoud, Yousif, Osborne, Alex, Ralhan, Shvaita, Carpenter, Catriona, Ahmad, Mahmood, Ravi, Sanjeev Musuvathy, Konbaz, Tarek, Lloyd, Thomas, Sheikh, Nomaan, Swealem, Ahmed, Soroya, Emma, Rayan, Faizal, Ward, Thomas, Vasireddy, Aswinkumar, Clarke, Ellisiv, Sikdar, Oishi, Smart, Yat Wing, Windley, Joseph, Ilagan, Belen, Brophy, Edel, Joseph, Sarah, Lowery, Kathryn, Jamjoom, Ammer, Ismayl, Ghiath, Aujla, Randeep, Sambhwani, Sharan, Ramasamy, Arul, Khalaf, Ahmed, Ponugoti, Nikhil, Teng, Wai Huang, Masud, Saqib, Otoibhili, Eghe, Clarkson, Martin, Nafea, Mohamed, Sarhan, Mohamed, Hanna, Shady, Kelly, Andrew, Curtis, Alex, Gourbault, Lysander, Tarhini, Mariam, Platt, Nicholas, Fleming, Thomas, Pemmaraju, Gopalakrishna, Choudri, Mohammed Junaid, Burahee, Abdus, Hassan, Labiba, Hamid, Laveeza, Loveday, David, Edres, Kareem, Schankat, Kerstin, Granger, Luke, Goodbun, Matthew, Parikh, Sunny, Johnson-Lynn, Sarah, Griffiths, Alexandra, Rai, Avinash, Chandler, Henry, Guiot, Luke, Appleyard, Thomas, Robinson, Karen, Fong, Angus, Watts, Anna, Stedman, Tobias, Walton, Victoria, Inman, Dominic, Liaw, Frank, Hadfield, James, McGovern, Julia, Baldock, Thomas, White, Jonathan, Seah, Matthew, Jacob, Neville, Ali, Zaid Haj, Goff, Thomas, Sanalla, Ahmed, Gomati, Ayoub, Nordin, Louise, Hassan, Eslam, Ramadan, Omar, Teoh, Kar Hao, Baskaran, Dinnish, Ngwayi, James, Abbakr, Lina, Blackmore, Noah, Mansukhani, Sameer, Guryel, Enis, Harper, Adam, Cashman, Emily, Brooker, Joanne, Pack, Louise, Regan, Nora, Wagner, Wilhelm, Selim, Amr, Archer, Debbie, McConaghie, Gregory, Patel, Ravi, Gibson, William, Pasapula, Chandra S, Youssef, Hesham, Aziz, Md Abdul, Subhash, Sadhin, Banaszkiewicz, Paul, Elzawahry, Ahmed, Neo, Chryssa, Wei, Nicholas, Bhaskaran, Arun, Sharma, Abhishek, Factor, Danielle, Shahin, Fatma, Shields, David, Ferreira, Catarina Dores Fernandes, Jeyakumar, Gowsikan, Liao, Quintin, Sinnerton, Robert, Ashwood, Neil, Sarhan, Islam, Ker, Andrew, Phelan, Sean, Paxton, James, McAuley, Joseph, Moulton, Lawrence, Mohamed, Ahmed, Dias, Ana, Ho, Beatrice, Francis, Daniel, Miller, Sarah, Phillips, Jon, Jones, Robin, Arthur, Calum, Oag, Erlend, Thutoetsile, Kamogelo, Bell, Katrina, Milne, Kirsty, Whitefield, Reiss, Patel, Kuntal, Singh, Abhimanyu, Morris, Geraint, Parkinson, Dawn, Patil, Amogh, Hamid, Hassan, Syam, Kevin, Singh, Rohit, Menon, Deepak, Crooks, Sophie, Borland, Steven, Rohman, Adam, Nicholson, Alys, Smith, Ben, Hafiz, Nauman, Kolhe, Shivam, Waites, Matthew, Piper, Dani, Westacott, David, Grimshaw, Jessica, Bott, Alasdair, Berry, Alexander, Battle, Joseph, Flannery, Oliver, Iyengar, Karthikeyan P, Thakur, Abdul Wadood, Yousef, Mina, Bansod, Vaibhav, El-nahas, Walaa, Dawe, Edward, Oladeji, Emmanuel, Federer, Simon, Trompeter, Alex, Pritchard, Anna, Shurovi, Badrun, Jordan, Chris, Little, Max, Sivaloganathan, Sivanshankar, Shaunak, Shalin, Watters, Hazel, Luck, Joshua, Zbaeda, Mohamed, Frasquet-Garcia, Antonio, Warner, Christian, Telford, Jeremy, Rooney, Joanna, Attwood, Joseph, Wilson, Faye, Panagiotopoulos, Andreas, Keane, Conal, Scott, Helen, Mazel, Rebecca, Maggs, Joanna, Skinner, Edward, McMunn, Finlay, Lau, Joshua, Ravikumar, Kasetti, Thakker, Dev, Gill, Moneet, McCarthy, Phillip, Fossey, Gavin, Shah, Sohaib, McAlinden, Gavan, McGoldrick, Peter, O'Brien, Scarlett, Patil, Sunit, Millington, Antonia, Umar, Hamza, Sehdev, Simran, Dyer-Hill, Thomas, Yu Kwan, Tsun, Tanagho, Andy, Hagnasir, Ahmed, White, Thomas, Bano, Christopher, Kissin, Eleanor, Ghani, Rafia, Thomas, Philip S W, McMullan, Mark, Walmsley, Matthew, Elgendy, Mohamed, Winstanley, Robert, Round, Joanne, Baxter, Mark, Thompson, Emett, Hogan, Kathryn, Youssef, Khaled, Fetouh, Sherif, Hopper, Graeme P, Simpson, Cameron, Warren, Craig, Waugh, Dominic, Nair, Gopikrishnan, Ballantyne, Andy, Blacklock, Calum, O'Connell, Ciara, Toland, Gemma, McIntyre, Joshua, Ross, Lauren, Badge, Ravindra, Loganathan, Deeraj, Turner, Ian, Ball, Matthew, Maqsood, Saad, Deierl, Krisztian, Beer, Alexander, Tan, Arthur Chen Wun, Mackinnon, Thomas, Gade, Venkat, Gill, James, Yu San, Kay, Archunan, Maheswaran Warren, Shaikh, Mariyam, Ugbah, Onyinye, Uwaoma, Sade, Pillai, Anand, Nath, Upamanyu, Rohan, Farhan-Alanie, M.M., Chinweze, R., Walker, R., and Eardley, W.G.P.

Published
2024
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14. Influence of dietary mannan-oligosaccharides supplementation on hematological characteristics, blood biochemical parameters, immune response and histological state of laying hens

Author

Youssef, Islam M., Khalil, Hassan A., Jaber, Fatima A., Alhazzaa, Rasha A., Alkholy, Sarah O., Almehmadi, Awatif M., Alhassani, Walaa E., Al-Shehri, Mohammed, Hassan, Hesham, Hassan, Magdy S., Abd El Halim, Haiam S., El-Hack, Mohamed E. Abd, Youssef, Khaled M., and Abo-Samra, Maher A.

Published
2023
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16. Immune response, hematological traits, biochemical blood parameters, and histological status of laying hens influenced by dietary chitosan-oligosaccharides

Author

Youssef, Islam M., Khalil, Hassan A., Shakoori, Afnan M., Bagadood, Rehab M., Alyahyawi, Areej Y., Alhazzaa, Rasha A., Fakiha, Khloud G., Nasr, Samia, Abo-Samra, Maher A., Hassan, Magdy S., Halim, Haiam S. Abd El, El-Hack, Mohamed E. Abd, Jaremko, Mariusz, Al-Nemi, Ruba, and Youssef, Khaled M.

Published
2023
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27. Effect of AlN on the Mechanical and Electrochemical Properties of Aluminum Metal Matrix Composites.

Author

Abdelatty, Rokaya H., Radwan, Ahmed Bahgat, Youssef, Khaled, Ijaz, Muhammad Farzik, and Abdul Shakoor, Rana

Subjects
METALLIC composites, ALUMINUM nitride, ALUMINUM, POLARIZATION spectroscopy, POWDER metallurgy, IMPEDANCE spectroscopy
Abstract

In the present investigation, aluminum metal matrix composites (AMMs) reinforced with aluminum nitride (AlN) nanoparticulates at different volumetric ratios of (0, 0.5, 1, 1.5, and 2 vol.%) were manufactured via a microwave-assisted powder metallurgy technique. The morphological, physical, mechanical, and electrochemical properties of the produced billets were examined to reflect the impact of the successive addition of AlN into the aluminum (Al) matrix. The morphological analysis revealed the high crystalline patterns of the formation of the Al-AlN composites. The microstructural analysis confirmed the presence of the elemental constituents of Al and AlN particles in the fabricated composites, showing an enhanced degree of agglomeration in conjunction with the additional amount of AlN. Positive behavior exhibited by the micro- and nanohardness was noticeable in the Al-AlN composites, especially at the ultimate concentration of AlN in the Al matrix of a 2 vol.%, where it reached 669.4 ± 28.1 MPa and 659.1 ± 11 MPa compared to the pure Al metal at 441.2 ± 20 MPa and 437.5 ± 11 MPa, respectively. A declining trend in the compressive strength was recorded in the reinforced Al samples. The corrosion resistance of the AlN-reinforced Al metal matrix was estimated at 3.5 wt.% NaCl using electrochemical impedance spectroscopy and potentiodynamic polarization. The results reveal that the inclusion of 2.0 vol.%AlN led to the lowest corrosion rate. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Silver Decoration of Vertically Aligned MoS 2 -MoO x Nanosheets: A Comprehensive XPS Investigation.

Author

Youssef, Khaled Al, Das, Arkaprava, Colomer, Jean-François, Hemberg, Axel, Noirfalise, Xavier, and Bittencourt, Carla

Subjects
*SILVER, *MOLYBDENUM disulfide, *PHYSICAL vapor deposition, *SILVER nanoparticles, *X-ray photoelectron spectroscopy, *NANOSTRUCTURED materials, *REACTIVE sputtering
Abstract

This study investigates the simultaneous decoration of vertically aligned molybdenum disulfide nanostructure (VA-MoS2) with Ag nanoparticles (NPs) and nitrogen functionalization. Nitrogen functionalization was achieved through physical vapor deposition (PVD) DC-magnetron sputtering using nitrogen as a reactive gas, aiming to induce p-type behavior in MoS2. The utilization of reactive sputtering resulted in the growth of three-dimensional silver structures on the surface of MoS2, promoting the formation of silver nanoparticles. A comprehensive characterization was conducted to assess surface modifications and analyze chemical and structural changes. X-ray photoelectron spectroscopy (XPS) showed the presence of silver on the MoS2 surface. Scanning electron microscopy (SEM) confirmed successful decoration with silver nanoparticles, showing that deposition time affects the size and distribution of the silver on the MoS2 surface. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Influence of dietary chitosan-oligosaccharides supplementation on productive and reproductive performance of laying hens.

Author

Youssef, Islam M., Khalil, Hassan A., Swelum, Ayman A., Al Garadi, Maged A., Balasubramanian, Balamuralikrishnan, Hassan, Magdy S., Abd El Halim, Haiam S., Abd El-Hack, Mohamed E., Youssef, Khaled M., and Abo-Samra, Maher A.

Subjects
HENS, HATCHABILITY of eggs, DIETARY supplements, OVARIAN follicle, CHITOSAN, CHICKENS, ECONOMIC efficiency
Abstract

This experiment aimed to ascertain whether adding chitosan-oligosaccharides (COS) to the diet will affect Mandarah laying hens' productivity and reproductive efficiency. At the age of 34 weeks, 120 laying hens and 12 cocks of the Mandarah chicken strain were separated into four groups, each consisting of 30 hens and three cocks. The 1st group served as a control group, receiving only a basic diet. The 2nd, 3rd, and 4th experimental groups received 0.1, 0.2, and 0.5 g/kg of chitosan-oligosaccharides as an addition to the base diet, respectively. According to the findings of this study, the majority of the analyzed attributes differed significantly between treatment groups. Comparing the COS-treated birds to the control birds, the COS-treated birds significantly increased egg production, improved feed conversion, Haugh unit score, shell thickness, fertility, hatchability, ovary weight, and the number of yellow ovarian follicles as well as blood estradiol-17β (E2) and testosterone concentrations. Furthermore, compared to the other treated groups, introducing COS at a level of 0.1 g/kg diet resulted in the best laying rate, egg mass, and feed conversion. The highest percentage of fertility, hatchability of hatching eggs, ovary weight, number of yellow ovarian follicles, and serum E2 concentration was also found in birds fed COS at a dose of 0.2 g/kg feed. In addition, compared to the control diet, COS treatment at 0.1, 0.2, and 0.5 g/kg enhanced relative economic efficiency by 464.43, 457.41, and 352.75%, respectively. It is concluded that chitosan improves economic efficiency, reproductive performance, productivity in laying hens, and overall health when used at 0.1 g/kg diet. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Optimization of the Consolidation Parameters for Enhanced Thermoelectric Properties of Gr-Bi 2 Te 2.55 Se 0.45 Nanocomposites.

Author

El-Makaty, Farah, Hamouda, Abdel Magid, Abutaha, Anas, and Youssef, Khaled

Subjects
THERMOELECTRIC materials, BISMUTH alloys, BISMUTH telluride, HOT pressing, THERMOELECTRIC effects, BISMUTH
Abstract

Hot pressing represents a promising consolidation technique for ball-milled bismuth telluride alloys, yet deep investigations are needed to understand its effect on the thermoelectric properties. This paper studies the effect of hot-pressing parameters (temperature and pressure) on the thermoelectric properties of the n-type Gr-Bi2Te2.55Se0.45 nanocomposite. Ultra-high pressure, up to 1.5 GPa, is considered for the first time for consolidating Bi2(Te,Se)3 alloys. Results from this study show that increasing the temperature leads to changes in chemical composition and causes noticeable grain growth. On the contrary, increasing pressure mainly causes improvements in densification. Overall, increments in these two parameters improve the ZT values, with the temperature parameter having a higher influence. The highest ZT of 0.69 at 160 °C was obtained for the sample hot-pressed at 350 °C and 1 GPa for 5 min, which is indeed an excellent and competitive value when compared with results reported for this n-type Bi2Te2.55Se0.45 composition. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Evaluation of the Influence of Eggshell (ES) Concentration on the Degradation Behavior of Mg–2.5Zn Biodegradable Alloy in Simulated Body Fluid

Author

Radwan, A. Bahgat, primary, Okonkwo, Paul C., additional, Murugan, Srinivasan, additional, Parande, Gururaj, additional, Taryba, Maryna, additional, Montemor, M. Fatima, additional, Al-Mansoori, Layla, additional, Elrayess, Mohamed A., additional, Al-Qahtani, Noora, additional, Gupta, Manoj, additional, Youssef, Khaled M., additional, Case, Raymundo, additional, Shakoor, R. A., additional, and Abdullah, Aboubakr M., additional

Published
2023
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39. Comparison of Presepsin (CD14), Procalcitonin (PCT) and C- reactive protein (CRP) at different SOFA and APACHE II scores in sepsis patients

Author

Alia Hassan Abd-Elfattah, Mohamed Mohamed Youssef Khaled, Akram Abdelbary Ahmed, Momen Yahia, and Ahmed Mohamed El-bakry Mohamed Kotrob

Subjects
General Nursing, Education
Abstract

Sepsis remains a major challenge in clinical practice with considerable morbidity and mortality despite modern treatments. Clinicians need good diagnostic and prognostic markers to identify infected patients who would rapidly benefit from prompt, empirical antibiotic therapy and other supportive treatment. to comparison of Presepsin (CD14), Procalcitonin (PCT) and C- reactive protein (CRP) at different SOFA and APACHE II scores in sepsis patients. A prospective cohort observational study was conducted in Critical Care Medicine Department, Faculty of medicine, Cairo University, Egypt recruiting admitted adult critically ill patients diagnosed. All subjects were recruited during the period from December 2013 to November 2015. All subjects were subjected to complete history taking, clinical examination, Complete blood count, Kidney and Liver function, Coagulation profiles, blood, urine, and sputum cultures ± wound or drain culture, presepsin, PCT and CRP plasma concentrations. Mean age of our study group was 49.8±16.05 years and mean APACHE II score 14±4.4 with mean length of ICU stay was 13.6±7.06 days.There was significantly higher frequency of DM and HTN in Non- survivors group than Survivors.SOFA score was significantly higher at all assessments in Non- survivors as compared to survivors on admission and at day 1, 3,7 and 15.

Published
2022

46. Graphene-Reinforced Bulk Metal Matrix Composites: Synthesis, Microstructure, and Properties

Author

Ahmad Sara I., Hamoudi Hicham, Abdala Ahmed, Ghouri Zafar K., and Youssef Khaled M.

Subjects
Technology, Engineering, FOS: Materials engineering, properties, Chemical technology, Materials engineering, graphene, metals, interface, TP1-1185, composites
Abstract

This paper provides a critical review on the current status of graphene-reinforced metal matrix composites (GRMMCs) in an effort to guide future work on this topic. Metal matrix composites are preferred over other types of composites for their ability to meet engineering and structural demands. Graphene is considered an ideal reinforcement material for composites due to its unique structure and extraordinary physical, thermal, and electrical properties. Incorporating graphene as a reinforcement in metals is a way of harnessing its extraordinary properties, resulting in an enhanced metallic behavior for a wide variety of applications. Combining graphene with bulk metal matrices is a recent endeavor that has proven to have merit. A systematic study is needed to critically examine the efforts applied in this field, the successes achieved, and the challenges faced. This review highlights the three main pillars of GRMMCs: synthesis, structure, and properties. First, it discusses the synthesis techniques utilized for the fabrication of GRMMCs. Then, it highlights the resulting microstructures of the composites, including graphene dispersion and interfacial interactions. Finally, it summarizes the enhancements in the mechanical, electrical, thermal, and tribological properties of GRMMCs, while highlighting the effects of graphene type and content on those enhancements. Other information Published in: Reviews on Advanced Materials Science License: http://creativecommons.org/licenses/by/4.0 See article on publisher's website: http://dx.doi.org/10.1515/rams-2020-0007

Published
2023
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