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1. The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions

Author

Ullah, Amin, Qi, Guilin, Hussain, Saddam, Ullah, Irfan, and Ali, Zafar

Subjects
Computer Science - Artificial Intelligence
Abstract

Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living standards, facilitating the rapid expansion of urban areas while efficiently managing resources through sustainable and scalable innovations. In this regard, as emerging technologies like Artificial Intelligence (AI), the Internet of Things (IoT), big data analytics, and fog and edge computing have become increasingly prevalent, smart city applications grapple with various challenges, including the potential for unauthorized disclosure of confidential and sensitive data. The seamless integration of emerging technologies has played a vital role in sustaining the dynamic pace of their development. This paper explores the substantial potential and applications of Deep Learning (DL), Federated Learning (FL), IoT, Blockchain, Natural Language Processing (NLP), and large language models (LLMs) in optimizing ICT processes within smart cities. We aim to spotlight the vast potential of these technologies as foundational elements that technically strengthen the realization and advancement of smart cities, underscoring their significance in driving innovation within this transformative urban milieu. Our discourse culminates with an exploration of the formidable challenges that DL, FL, IoT, Blockchain, NLP, and LLMs face within these contexts, and we offer insights into potential future directions.

Published
2024

10. RweetMiner: Automatic identification and categorization of help requests on twitter during disasters

Author

Ullah, Irfan, Khan, Sharifullah, Imran, Muhammad, and Lee, Young-Koo

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

Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for requesting help and/or providing relief to others. However, the majority of social media posts seeking help could not properly be detected and remained concealed because often they are noisy and ill-formed. Existing systems lack in planning an effective strategy for tweet preprocessing and grasping the contexts of tweets. This research, first of all, formally defines request tweets in the context of social networking sites, hereafter rweets, along with their different primary types and sub-types. Our main contributions are the identification and categorization of rweets. For rweet identification, we employ two approaches, namely a rule-based and logistic regression, and show their high precision and F1 scores. The rweets classification into sub-types such as medical, food, and shelter, using logistic regression shows promising results and outperforms existing works. Finally, we introduce an architecture to store intermediate data to accelerate the development process of the machine learning classifiers.

Published
2023
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11. 3D UAV Trajectory Design for Fair and Energy-Efficient Communication: A Deep Reinforcement Learning Technique

Author

Rasool, Shahid, Ullah, Irfan, Ali, Abid, and Ahmad, Ishtiaq

Subjects
Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Systems and Control
Abstract

In different situations, like disaster communication and network connectivity for rural locations, unmanned aerial vehicles (UAVs) could indeed be utilized as airborne base stations to improve both the functionality and coverage of communication networks. Ground users can employ mobile UAVs to establish communication channels and deliver packages. UAVs, on the other hand, have restricted transmission capabilities and fuel supplies. They can't always cover the full region or continue to fly for a long time, especially in a huge territory. Controlling a swarm of UAVs to yield a relatively long communication coverage while maintaining connectivity and limiting energy usage is so difficult. We use modern deep reinforcement learning (DRL) for UAV connectivity to provide an innovative and extremely energy-efficient DRL-based algorithm. The proposed method: 1) enhances novel energy efficiency while taking into account communications throughput, energy consumption, fairness, and connectivity; 2) evaluates the environment and its dynamics; and 3) makes judgments using strong deep neural networks. For performance evaluation, we have performed comprehensive simulations. In terms of energy consumption and fairness, simulation results show that the DRL-based algorithm consistently outperforms two commonly used baseline techniques.

Published
2023

12. Precise Single-stage Detector

Author

Chandio, Aisha, Gui, Gong, Kumar, Teerath, Ullah, Irfan, Ranjbarzadeh, Ramin, Roy, Arunabha M, Hussain, Akhtar, and Shen, Yao

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

There are still two problems in SDD causing some inaccurate results: (1) In the process of feature extraction, with the layer-by-layer acquisition of semantic information, local information is gradually lost, resulting into less representative feature maps; (2) During the Non-Maximum Suppression (NMS) algorithm due to inconsistency in classification and regression tasks, the classification confidence and predicted detection position cannot accurately indicate the position of the prediction boxes. Methods: In order to address these aforementioned issues, we propose a new architecture, a modified version of Single Shot Multibox Detector (SSD), named Precise Single Stage Detector (PSSD). Firstly, we improve the features by adding extra layers to SSD. Secondly, we construct a simple and effective feature enhancement module to expand the receptive field step by step for each layer and enhance its local and semantic information. Finally, we design a more efficient loss function to predict the IOU between the prediction boxes and ground truth boxes, and the threshold IOU guides classification training and attenuates the scores, which are used by the NMS algorithm. Main Results: Benefiting from the above optimization, the proposed model PSSD achieves exciting performance in real-time. Specifically, with the hardware of Titan Xp and the input size of 320 pix, PSSD achieves 33.8 mAP at 45 FPS speed on MS COCO benchmark and 81.28 mAP at 66 FPS speed on Pascal VOC 2007 outperforming state-of-the-art object detection models. Besides, the proposed model performs significantly well with larger input size. Under 512 pix, PSSD can obtain 37.2 mAP with 27 FPS on MS COCO and 82.82 mAP with 40 FPS on Pascal VOC 2007. The experiment results prove that the proposed model has a better trade-off between speed and accuracy., Comment: We will submit it soon to the IEEE transaction. Due to characters limitation, we can not upload the full abstract. Please read the pdf file for more detail

Published
2022

15. Cutaneous signs of selected cardiovascular disorders: A narrative review

Author

Asif Marium, Yousuf Muhammad Hamza, Farooqui Usman Shakeel, Nashwan Abdulqadir J., and Ullah Irfan

Subjects
skin manifestations, cutaneous signs, cardiovascular diseases, diagnosis, treatment, Medicine
Abstract

Cardiovascular diseases are the leading cause of mortality and morbidity globally. Clinicians must know cutaneous signs of cardiovascular disease, including petechiae, macules, purpura, lentigines, and rashes. Although cutaneous manifestations of diseases like infectious endocarditis and acute rheumatic fever are well established, there is an indispensable need to evaluate other important cardiovascular diseases accompanied by cutaneous signs. Moreover, discussing the latest management strategies in this regard is equally imperative. This review discusses distinctive skin findings that help narrow the diagnosis of cardiovascular diseases and recommendations on appropriate treatment.

Published
2024
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19. Examining Fruit Demand Elasticities In Pakistan

Author

Iqbal Sarah, Fayaz Muhammad, Ullah Irfan, Uçak Harun, Shah Syed Attaullah, and Sayam Farheen

Subjects
fruits, la/aids, expenditures elasticities, marshallian elasticities, hicksian elasticities, pakistan, d12, q02, q10, q11, Finance, HG1-9999, Economic theory. Demography, HB1-3840
Abstract

Income and prices are important factors that determine and decide households consumption decisions and behavior.

Published
2023
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20. Examination of Knowledge Management and Market Orientation, Innovation and Organizational Performance: Insights from Telecom Sector of Pakistan

Author

Ullah, Irfan, Mirza, Bilal, Kashif, Abdul Rauf, and Abbas, Farrukh

Abstract

Knowledge Management and Market Orientation have become buzzwords today owing to their importance for enhancing organizational performance. Innovation has become the strategic need of organizations at present in order to contend with the extreme market competition. The objective of this research was to examine the impact of knowledge management orientation on a firm's performance with the mediating role of organizational innovation and market orientation. Data was collected through personal survey-based questionnaire. Based on a survey of 343 employees from Telecom Sector of Pakistan, this study applied Structural Equation Modeling (SEM) Technique to observe the research model. The results of the study demonstrate that knowledge management orientation plays an affirmative role in the promotion of organizational performance. The organizational innovation has significant impact on the performance of the organization. It was also revealed that there is positive effect of market orientation on organizational performance. Moreover, innovation and market orientation were observed to have mediating role in the knowledge management orientation-organizational performance linkage. As, the global phenomenon exposes that if the knowledge management, market orientation and innovation in relation to performance are being practiced, then the results are promising, driving extensively in a constructive way as validated by the literature review. Consequently, this research is one the first attempts in Pakistan towards the perspective i.e. knowledge management orientation, organizational innovation, market orientation in relation to the performance of an organization. It will further contribute towards the local academic and viable arena of Pakistan.

Published
2019

27. Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Author

Alam, Aftab, Ullah, Irfan, and Lee, Young-Koo

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

The proliferation of multimedia devices over the Internet of Things (IoT) generates an unprecedented amount of data. Consequently, the world has stepped into the era of big data. Recently, on the rise of distributed computing technologies, video big data analytics in the cloud has attracted the attention of researchers and practitioners. The current technology and market trends demand an efficient framework for video big data analytics. However, the current work is too limited to provide a complete survey of recent research work on video big data analytics in the cloud, including the management and analysis of a large amount of video data, the challenges, opportunities, and promising research directions. To serve this purpose, we present this study, which conducts a broad overview of the state-of-the-art literature on video big data analytics in the cloud. It also aims to bridge the gap among large-scale video analytics challenges, big data solutions, and cloud computing. In this study, we clarify the basic nomenclatures that govern the video analytics domain and the characteristics of video big data while establishing its relationship with cloud computing. We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. Then, a comprehensive and keen review has been conducted to examine cutting-edge research trends in video big data analytics. Finally, we identify and articulate several open research issues and challenges, which have been raised by the deployment of big data technologies in the cloud for video big data analytics. To the best of our knowledge, this is the first study that presents the generalized view of the video big data analytics in the cloud. This paper provides the research studies and technologies advancing video analyses in the era of big data and cloud computing.

Published
2020
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28. Video Big Data Analytics in the Cloud: Research Issues and Challenges

Author

Alam, Aftab, Khalid, Shah, Khan, Muhammad Numan, Afridi, Tariq Habib, Ullah, Irfan, and Lee, Young-Koo

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

On the rise of distributed computing technologies, video big data analytics in the cloud have attracted researchers and practitioners' attention. The current technology and market trends demand an efficient framework for video big data analytics. However, the current work is too limited to provide an architecture on video big data analytics in the cloud, including managing and analyzing video big data, the challenges, and opportunities. This study proposes a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. Finally, we identify and articulate several open research issues and challenges, which have been raised by the deployment of big data technologies in the cloud for video big data analytics. This paper provides the research studies and technologies advancing video analyses in the era of big data and cloud computing. This is the first study that presents the generalized view of the video big data analytics in the cloud to the best of our knowledge., Comment: 15 pages, 3 Figures, Conference

Published
2020

33. Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021

Author

Moberg, Madeline E, Hamilton, Erin B, Zeng, Scott M, Bryazka, Dana, Zhao, Jeff T, Feldman, Rachel, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abu-Gharbieh, Eman, Addo, Isaac Yeboah, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Danial, Ahmed, Haroon, Alem, Dejene Tsegaye, Al-Gheethi, Adel Ali Saeed, Alimohamadi, Yousef, Ameyaw, Edward Kwabena, Amrollahi-Sharifabadi, Mohammad, Anagaw, Tadele Fentabil, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Athari, Seyyed Shamsadin, Atreya, Alok, Azari Jafari, Amirhossein, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Bansal, Hansi, Barrow, Amadou, Bashiri, Azadeh, Bayileyegn, Nebiyou Simegnew, Berhie, Alemshet Yirga, Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Boloor, Archith, Cámera, Luis Alberto, Carvalho, Felix, Carvalho, Márcia, Chandrasekar, Eeshwar K, Chang, Jung-Chen, Chattu, Vijay Kumar, Chu, Dinh-Toi, Coberly, Kaleb, Cruz-Martins, Natália, Dadras, Omid, Dai, Xiaochen, Darvishi Cheshmeh Soltani, Reza, Das, Saswati, Das, Subasish, Debela, Sisay Abebe, Demessa, Berecha Hundessa, Deng, Xinlei, Desta, Abebaw Alemayehu, Desye, Belay, Dhimal, Meghnath, Dibas, Mahmoud, Dsouza, Haneil Larson, Ekholuenetale, Michael, El Sayed, Iman, El-Huneidi, Waseem, Enyew, Daniel Berhanie, Fagbamigbe, Adeniyi Francis, Fatehizadeh, Ali, Fatima, Syeda Anum Fatima, Fischer, Florian, Franklin, Richard Charles, Garg, Tushar, Gebi, Tilaye Gebru, Gerema, Urge, Getachew, Melaku, Getachew, Motuma Erena, Ghamari, Farhad, Golechha, Mahaveer, Goleij, Pouya, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Harorani, Mehdi, Hasani, Hamidreza, Hassan, Abbas M, Hassanian-Moghaddam, Hossein, Hassen, Mohammed Bheser, Hay, Simon I, Hayat, Khezar, Heidari, Mohammad, Heidari-Foroozan, Mahsa, Heyi, Demisu Zenbaba, Holla, Ramesh, Hoogar, Praveen, Hossain, Md Shakhaoat, Hosseini, Mohammad-Salar, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Immurana, Mustapha, Iwu, Chidozie C D, Jayarajah, Umesh, Joseph, Nitin, Joshua, Charity Ehimwenma, Kadashetti, Vidya, Kanchan, Tanuj, Kandel, Himal, Kantar, Rami S, Kapoor, Neeti, Karaye, Ibraheem M, Katoto, Patrick DMC, Khajuria, Himanshu, Khan, Ejaz Ahmad, Khateri, Sorour, Khodamoradi, Farzad, Khormali, Moein, Khubchandani, Jagdish, Kim, Grace, Kisa, Adnan, Koohestani, Hamid Reza, Krishan, Kewal, Kumar, Naveen, Laflamme, Lucie, Landires, Iván, Larijani, Bagher, Lauriola, Paolo, Le, Thao Thi Thu, Ledda, Caterina, Lee, Seung Won, Lim, Stephen S, Lobo, Stany W, Lunevicius, Raimundas, Maharaj, Sandeep B, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Mestrovic, Tomislav, Miller, Ted R, Mirmoeeni, Seyyedmohammadsadeq, Misganaw, Awoke, Mishra, Manish, Misra, Sanjeev, Mittal, Chaitanya, Mohammadi, Esmaeil, Mokdad, Ali H, Moni, Mohammad Ali, Mostafavi, Ebrahim, Mubarik, Sumaira, Mulita, Francesk, Mulualem, Jember Azanaw, Mulugeta, Temesgen, Murray, Christopher J L, Myers, Isabella, Nayak, Biswa Prakash, Nayak, Vinod C, Nejadghaderi, Seyed Aria, Nguyen, Huong Lan Thi, Nguyen, Van Thanh, Nouraei, Hasti, Nzoputam, Ogochukwu Janet, Okati-Aliabad, Hassan, Olufadewa, Isaac Iyinoluwa, Ordak, Michal, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pandey, Ashok, Pant, Suman, Parekh, Utsav, Pawar, Shrikant, Peden, Amy E, Petcu, Ionela-Roxana, Piel, Frédéric B, Piracha, Zahra Zahid, Pourali, Ghazaleh, Qattea, Ibrahim, Qureshi, Maryam Faiz, Raghav, Pankaja Raghav, Rahman, Mosiur, Rahmani, Shayan, Ramasubramani, Premkumar, Ramazanu, Sheena, Rawaf, Salman, Rezaei, Nazila, Rezaei, Negar, Rezaeian, Mohsen, Saddik, Basema, Sadeghi, Malihe, Sadeghian, Farideh, Saeed, Umar, Sahebkar, Amirhossein, Saif, Zahra, Sakshaug, Joseph W, Salahi, Saina, Salamati, Payman, Samy, Abdallah M, Sarmiento-Suárez, Rodrigo, Schwebel, David C, Senthilkumaran, Subramanian, Seylani, Allen, Shaikh, Masood Ali, Sham, Sunder, Shashamo, Bereket Beyene, Sheikhi, Rahim Ali, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Sibhat, Migbar Mekonnen, Singh, Harpreet, Singh, Paramdeep, Sisay, Eskinder Ayalew, Solomon, Yonatan, Taheri, Majid, Ullah, Irfan, Ullah, Sana, Violante, Francesco S, Vu, Linh Gia, Wickramasinghe, Nuwan Darshana, Yigit, Arzu, Yonemoto, Naohiro, Yousefi, Zabihollah, Zaman, Muhammad, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zoladl, Mohammad, Steinmetz, Jaimie D, Vos, Theo, Naghavi, Mohsen, and Ong, Kanyin Liane

Published
2023
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34. Low power wireless technologies for AC current sensing

Author

Ullah, Irfan, Batchelor, John, and Izquierdo, Benito Sanz

Subjects
621.384
Abstract

This thesis is concerned with the development of a novel RFID ac current sensing technique for smart power monitoring systems. The research aims to explore designing self-tuning RFID tags and antenna designs and transforming simple tags into passive ac current sensors. The sensing mechanism by which a self-tuning RFID tag is linked with a varactor tuning circuit and integrated into a current transformer is described. The proposed sensing tag structure is less complex and provides a cost-effective solution for power monitoring when many tags on individual appliances communicate wirelessly with a centrally mounted single RFID reader in the views of the tags to be read. New optimised RFID tag antenna designs for a current transformer are introduced. Antenna miniaturisation techniques are adopted in designing tag antennas to achieve compact physical integration with the transformer housing while maintaining the tag link. These optimised tag antennas are designed in order to reduce the size of the tag system. The proposed current sensing concept is further explored to utilise two tag antennas in a single design. The two tag antennas are coupled with different tuning circuits and integrated into a single transformer for increasing the current sensing range of the sensor. The antenna design techniques of designing two tag antennas in close proximity with each other and how the mutual coupling between the tag antennas can be reduced are also studied.

Published
2021
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36. Effects of Peer Tutoring on the Academic Achievement of Students in the Subject of Biology at Secondary Level

Author

Ullah, Irfan, Tabassum, Rabia, and Kaleem, Muhammad

Abstract

The present study is aimed at analyzing the effects of peer tutoring on the academic achievement of students in the subject of biology at secondary level. The objectives of the study were: (1) To find out the effects of peer tutoring on the academic achievement of students in the subject of biology; and (2) To examine the effects of peer tutoring with respect to knowledge, comprehension and application levels in cognitive domain of Bloom Taxonomy. All 433,405 male students at secondary level of 10th grade of Khyber Pakhtunkhwa were the population of the study. Forty students were taken as the sample of the study from the Allied National Software Institute (ANSI) Mardan. The Posttest-Only Equivalent Group Design was used. The data collected from pretest and posttest were analyzed through an independent sample t-test. It was found that the mean score of the experimental group was significantly better than that of the control group. It was concluded that peer tutoring enhanced the academic achievement of students in the experimental group significantly as compared to the control group; hence, it was an effective method of instruction for teaching biology at secondary level. It was suggested that peer tutoring may be incorporated along with other teaching methodologies for the subject of biology and it may be given due consideration in all teacher education practices in the country.

Published
2018

39. Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

Author

Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Astawus, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Mustafa Elagali, Ahmed Elabbas, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenus, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charles, Gaal, Peter Andras, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tamas, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A.B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotios, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J.L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamás, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marcos, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M.A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschalis, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F.M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, and Farzadfar, Farshad

Published
2023
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41. The state of health in Pakistan and its provinces and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Hafeez, Assad, Dangel, William James, Ostroff, Samuel M, Kiani, Ayyaz Gul, Glenn, Scott D, Abbas, Jaffar, Afzal, Muhammad Sohail, Afzal, Saira, Ahmad, Sajjad, Ahmed, Ali, Ahmed, Haroon, Ali, Liaqat, Ali, Muhammad, Ali, Zahid, Arshad, Muhammad, Ashraf, Tahira, Bhutta, Zulfiqar A, Bibi, Sadia, Butt, Zahid A, Das, Jai K, Fadoo, Zehra, Hanif, Asif, Hayat, Khezar, Humayun, Ayesha, Iqbal, Khalid, Iqbal, Usman, Khalid, Nauman, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Malik, Ahmad Azam, Naveed, Muhammad, Naz, Shumaila, Niazi, Robina Khan, Piracha, Zahra Zahid, Saeed, Umar, Salman, Muhammad, Samad, Zainab, Saqib, Muhammad Arif Nadeem, Shah, Syed Mahboob, Shahid, Izza, Shaikh, Masood Ali, Shamshad, Hina, Shuja, Kanwar Hamza, Suleman, Muhammad, Ullah, Anayat, Ullah, Irfan, Ullah, Saif, Ullah, Sana, Waheed, Yasir, Waris, Abdul, Hay, Simon I, Murray, Christopher J L, and Mokdad, Ali H

Published
2023
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43. Molecular basis for antiviral activity of two pediatric neutralizing antibodies targeting SARS-CoV-2 Spike RBD

Author

Chen, Yaozong, Prévost, Jérémie, Ullah, Irfan, Romero, Hugo, Lisi, Veronique, Tolbert, William D., Grover, Jonathan R., Ding, Shilei, Gong, Shang Yu, Beaudoin-Bussières, Guillaume, Gasser, Romain, Benlarbi, Mehdi, Vézina, Dani, Anand, Sai Priya, Chatterjee, Debashree, Goyette, Guillaume, Grunst, Michael W., Yang, Ziwei, Bo, Yuxia, Zhou, Fei, Béland, Kathie, Bai, Xiaoyun, Zeher, Allison R., Huang, Rick K., Nguyen, Dung N., Sherburn, Rebekah, Wu, Di, Piszczek, Grzegorz, Paré, Bastien, Matthies, Doreen, Xia, Di, Richard, Jonathan, Kumar, Priti, Mothes, Walther, Côté, Marceline, Uchil, Pradeep D., Lavallée, Vincent-Philippe, Smith, Martin A., Pazgier, Marzena, Haddad, Elie, and Finzi, Andrés

Published
2023
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47. Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies

Author

Aja-Fernández, Santiago, Martín-Martín, Carmen, Planchuelo-Gómez, Álvaro, Faiyaz, Abrar, Uddin, Md Nasir, Schifitto, Giovanni, Tiwari, Abhishek, Shigwan, Saurabh J., Kumar Singh, Rajeev, Zheng, Tianshu, Cao, Zuozhen, Wu, Dan, Blumberg, Stefano B., Sen, Snigdha, Goodwin-Allcock, Tobias, Slator, Paddy J., Yigit Avci, Mehmet, Li, Zihan, Bilgic, Berkin, Tian, Qiyuan, Wang, Xinyi, Tang, Zihao, Cabezas, Mariano, Rauland, Amelie, Merhof, Dorit, Manzano Maria, Renata, Campos, Vinícius Paraníba, Santini, Tales, da Costa Vieira, Marcelo Andrade, HashemizadehKolowri, SeyyedKazem, DiBella, Edward, Peng, Chenxu, Shen, Zhimin, Chen, Zan, Ullah, Irfan, Mani, Merry, Abdolmotalleby, Hesam, Eckstrom, Samuel, Baete, Steven H., Filipiak, Patryk, Dong, Tanxin, Fan, Qiuyun, de Luis-García, Rodrigo, Tristán-Vega, Antonio, and Pieciak, Tomasz

Published
2023
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50. Systemic treatment with siRNA targeting gamma-secretase activating protein inhibits Amyloid-β accumulation in Alzheimer’s disease

Author

Kim, Sunghwa, primary, Ullah, Irfan, additional, Beloor, Jagadish, additional, Chung, Kunho, additional, Kim, Jongkil, additional, Yi, Yujong, additional, Kang, Eunhwa, additional, Yun, Gyeongju, additional, Heo, Seoyoun, additional, Pyun, Seon-Hong, additional, Kim, Seung-Hyun, additional, Kumar, Priti, additional, and Lee, Sang-Kyung, additional

Published
2024
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