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6,022 results on '"Rula A."'

54. Gender and Ocular Manifestations of Connective Tissue Diseases and Systemic Vasculitides

Author

Maria M. Choudhary, Rula A. Hajj-Ali, and Careen Y. Lowder

Subjects
Ophthalmology, RE1-994
Abstract

Ocular manifestations are present in many connective tissue diseases which are characterized by an immune system that is directed against self. In this paper, we review the ocular findings in various connective tissue diseases and systemic vasculitides and highlight gender differences in each disease. In rheumatoid arthritis, we find that dry eyes affect women nine times more than men. The other extra-articular manifestations of rheumatoid arthritis affect women three times more commonly than men. Systemic lupus erythematosus can involve all ocular structures and women are nine times more affected than men. Systemic sclerosis is a rare disease but, again, it is more common in women with a female to male ratio of 8 : 1. Polymyositis and dermatomyositis also affect women more commonly than men but no gender differences have been found in the incidence or disease course in the systemic vasculitides associated with antineutrophil cytoplasmic antibody such as granulomatosis with polyangiitis (GPA, formerly known as Wegener’s granulomatosis). Finally, Behcet’s disease is more common in males, and male gender is a risk factor for Behcet’s disease. There is a slight female preponderance in sarcoidosis with female gender carrying a worse prognosis in the outcome of ocular disease.

Published
2014
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72. An optimized protocol for single cell transcriptional profiling by combinatorial indexing

Author

Martin, Beth K., Qiu, Chengxiang, Nichols, Eva, Phung, Melissa, Green-Gladden, Rula, Srivatsan, Sanjay, Blecher-Gonen, Ronnie, Beliveau, Brian J., Trapnell, Cole, Cao, Junyue, and Shendure, Jay

Subjects
Quantitative Biology - Genomics
Abstract

Single cell combinatorial indexing RNA sequencing (sci-RNA-seq) is a powerful method for recovering gene expression data from an exponentially scalable number of individual cells or nuclei. However, sci-RNA-seq is a complex protocol that has historically exhibited variable performance on different tissues, as well as lower sensitivity than alternative methods. Here we report a simplified, optimized version of the three-level sci-RNA-seq protocol that is faster, higher yield, more robust, and more sensitive, than the original sci-RNA-seq3 protocol, with reagent costs on the order of 1 cent per cell or less. We showcase the optimized protocol via whole organism analysis of an E16.5 mouse embryo, profiling ~380,000 nuclei in a single experiment. Finally, we introduce a "tiny sci-*" protocol for experiments where input is extremely limited., Comment: fixed a couple errors

Published
2021

73. Language Intensive Exposure in EFL Curriculum: Attitudes towards the Unlock Textbook Series at Birzeit University as a Case Study

Author

Qassrawi, Rania, Abuhussein, Haya Fayyad, Rafidi, Tina Jaber, and Yousef, Rula

Abstract

Language-intensive exposure and immersion can be regarded as key factors in developing proficient language learners. In the context of teaching English as a foreign language (EFL), the current research was conducted to compare two modes of teaching English using the "Unlock Textbook Series" published by Cambridge University Press at Birzeit University, Palestine. This research effort aimed at investigating the intensive and non-intensive students' attitudes towards the Unlock Textbook Series in addition to the effectiveness of the intensive and non-intensive modes of teaching based on EFL instructors' perspectives. In a descriptive design, two quantitative instruments were utilized to obtain data; a student questionnaire was implemented with students from the two tracks; intensive and non-intensive, whereas an attitudinal scale was used to examine the effectiveness of the two modes of teaching according to EFL instructors' perspectives. The participating students were (182) non-intensive and (100) intensive students. As for the instructors, fifteen (15) BZU instructors of English participated on the condition of teaching the two tracks. The findings revealed that there were statistically significant differences in the intensive and non-intensive students' attitudes towards the "Unlock Textbook Series" based on students' perspectives in favor of the intensive students. Additionally, it was shown that the intensive mode was more effective than the non-intensive based on instructors' perspectives. Accordingly, some recommendations were suggested.

Published
2023
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82. An authentication model based on cryptography

Author

Obeidat, Ibrahim, Arjan, Ahmed AL, Amrat, Rula AL, and Ajmi, Rathaa AL

Subjects
Computer Science - Cryptography and Security, 68W01, F.2.2, I.2.7
Abstract

In this paper we proposed an authentication technique based on the user cards, to improve the authentication process in systems that allows remote access for the users, and raise the security rate during an exchange of their messages. in this technique the server performs two functions, the first function, register the users, and give him user ID, PIN code, and user private card contains secrecy information, which is used to encrypt user messages by using two kinds of encryption symmetric using RC4-Pr and asymmetric using RSA encryption., the second function, distribute the user's public card if the user demand that, in which the user sends the own authentication code with their own user ID and recipient user ID to the authentication check, and then the server sends the user public card to the recipient user, thus the sender user can send the messages to recipient user without back to the server again. We attained confidentiality using RC4-Pr and RSA encryption and message authentication, user signature, and mutual secret key by using RSA encryption. in this paper we also implement the proposal in [1] RC4-pr algorithm which is modified to improve the key weakness of basic RC4., Comment: 13 pages

Published
2021

90. Retinoblastoma in Asia: Clinical Presentation and Treatment Outcomes in 2112 Patients from 33 Countries

Author

Kaliki, Swathi, Vempuluru, Vijitha S., Mohamed, Ashik, Abdulqader, Rula Ahmed, Aggarwal, Priyanka, Ahmad, Alia, Akib, Marliyanti Nur Rahmah, Al Mesfer, Saleh A., Al Ani, Mouroge Hashim, Al-Badri, Safaa A.Faraj, Angeles Alcasabas, Ana Patricia, Al-Dahmash, Saad A., Al-Haddad, Christiane, Yahya Al-Hussaini, Hamoud Hodeish, Al-Jadiry, Mazin Faisal, Al-Jumaily, Usama, Alkatan, Hind Manaa, Razzaq Mahmood Al-Mafrachi, Ali Abdul, Samad Majeed Al-Shaheen, Athar Abdul, Al-Shammary, Entissar Hadi, Amiruddin, Primawita Oktarima, Armytasari, Inggar, Astbury, Nicholas John, Atalay, Hatice Tuba, Ataseven, Eda, Atchaneeyasakul, La-ongsri, Balayeva, Ruhengiz, Bascaran, Covadonga, Begimkulova, Ainura Suranovna, Bhaduri, Anirban, Bhat, Sunil, Bhattacharyya, Arpita, Blum, Sharon, Bowman, Richard, Buaboonnam, Jassada, Burton, Matthew J., Caspi, Shani, Chaudhry, Shabana, Chawla, Bhavna, Chen, Wensi, Chuluunbat, Tsengelmaa, Dangboon, Wantanee, Das, Anirban, Das, Pranab, Das, Sima, Du, Yi, Dudeja, Gagan, Eka Sutyawan, I Wayan, Fadoo, Zehra, Faranoush, Mohammad, Foster, Allen, Frenkel, Shahar, Ghassemi, Fariba, Gomel, Nir, Gunasekera, D Sanjeeva, Gündüz, Ahmet K., Gupta, Himika, Gupta, Sanjiv, Gupta, Vineeta, Hamid, Syed Ahmer, Hamzah, Norhafizah, Hasanreisoglu, Murat, Hassan, Shadab, Haydar, Huda Awni, Hongeng, Suradej, Hussein Al-Janabi, Allawi Noor, Islamov, Ziyavuddin, Janjua, Teyyeb Azeem, Jeeva, Irfan, Ji, Xunda, Jo, Dong Hyun, Kantar, Mehmet, Kapelushnik, Noa, Kebudi, Rejin, Keomisy, Jonny, Khan, Zohora Jameela, Khaqan, Hussain Ahmed, Khetan, Vikas, Khodabande, Alireza, Kim, Jeong Hun, Kiratli, Hayyam, Koç, Irem, Kulvichit, Kittisak, Kuntorini, Mayasari Wahyu, Li, Cairui, Li, Kaijun, Limbu, Ben, Liu, ChunHsiu, Lutfi, Delfitri, Mahajan, Amita, Maitra, Puja, Makimbetov, Emil Kojoshovich, Maktabi, Azza M.Y., Manzhuova, Lyazat, Masud, Sidra, Mehrvar, Azim, Menon, Vikas, John V Mercado, Gary, Chandra Mishra, Divyansh Kailash, Mohammad, Mona Tayseer, Mudaliar, Sangeeta Sanjay, Mushtaq, Asma, Nair, Akshay Gopinathan, Natarajan, Sundaram, Nency, Yetty Movieta, Neroev, Vladimir, Nuruddin, Murtuza, Pagarra, Halimah, Palanivelu, Mahesh Shanmugam, Papyan, Ruzanna, Pe'er, Jacob, Polyakov, Vladimir, Qadir, Ali Omer, Qayyum, Seema, Qian, Jiang, Quah, BoonLong, Rahman, Ardizal, Rajkarnikar, Purnima, Ramanjulu, Rajesh, Rashid, Riffat, Rojanaporn, Duangnate, Roy, Soma Rani, Saab, Raya Hamad, Saakyan, Svetlana, Sabhan, Ahmed Hatem, Saiju, Rohit, Sayalith, Phayvanh, Sedaghat, Ahad, Seth, Rachna, Shakoor, Shawkat Ara, Sharma, Manoj Kumar, Siddiqui, Sorath Noorani, Singh, Usha, Singha, Penny, Sitorus, Rita S., Soebagjo, Hendrian D., Sultana, Sadia, Sun, Xiantao, Supriyadi, Eddy, Surukrattanaskul, Supawan, Suzuki, Shigenobu, Tan, Deborah, Tang, Jing, Tashvighi, Maryam, Teh, Kok Hoi, Tehuteru, Edi Setiawan, Thawaba, Abdullah Dahan M., Toledano, Helen, Le Trang, Doan, Tripathy, Devjyoti, Tuncer, Samuray, Unal, Emel, Ushakova, Tatiana L., Usmanov, Rustam, Verma, Nishant, Victor, Andi Arus, Vishnevskia-Dai, Victoria, Wang, Yi-Zhuo, Wangtiraumnuay, Nutsuchar, Riono, Widiarti Pandu, Wiwatwongwana, Atchareeya, Wiwatwongwana, Damrong, Wong, Emily S., Wongwai, Phanthipha, Wu, Si-qi, Xiang, Daoman, Xiao, Yishuang, Xu, Bing, Xue, Kang, Yam, Jason C., Yang, Huasheng, Yaqub, Muhammad Amer, Yarovaya, Vera A., Yarovoy, Andrey A., Ye, Huijing, Yousef, Yacoub Abdallah, Yuliawati, Putu, Zhang, Yi, Zia, Nida, Zondervan, Marcia, Fabian, Ido Didi, and Sthapit, Purnima Rajkarnikar

Published
2024
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92. A comprehensive health effects assessment of the use of sanitizers and disinfectants during COVID-19 pandemic: a global survey

Author

Hashemi, Fallah, Hoepner, Lori, Hamidinejad, Farahnaz Soleimani, Haluza, Daniela, Afrashteh, Sima, Abbasi, Alireza, Omeragić, Elma, Imamović, Belma, Rasheed, Narin A., Taher, Taqi M. J., Kurniasari, Fitri, Wazqar, Dhuha Youssef, Apalı, Özge Ceren, Yildirim, Ayca Demir, Zhao, Bo, Kalikyan, Zaruhi, Guo, Cui, Valbuena, Andrea Chong, Mititelu, Magdalena, Pando, Carolina Martínez, Saridi, Maria, Toska, Aikaterini, Cuba, Magalys Lopez, Kwadzokpui, Precious Kwablah, Tadele, Niguse, Nasibova, Tohfa, Harsch, Stefanie, Munkh-Erdene, Luvsan, Menawi, Wafaa, Evangelou, Efi, Dimova, Antoniya, Marinov, Dimitar, Dimitrova, Teodora, Shalimova, Anna, Fouly, Howieda, Suraya, Anna, da Silva Faquim, Juliana Pereira, Oumayma, Bouadil, Annunziato, Maria Antonieta, Lalo, Rezarta, Papastavrou, Evridiki, Ade, Anju D., Caminada, Susanna, Stojkov, Svetlana, Narvaez, Carmen Gloria, Mudau, Lutendo Sylvia, Rassas, Ines, Michel, Daphnee, Kaynar, Nur Sema, Iqbal, Sehar, Elshwekh, Halla, Hossain, Irin, AL-Fayyadh, Sadeq, Sydorchuk, Aniuta, Alnusairat, Dua’a M. H., Abdullahi, Asli Mohamed, Iqbal, Neelam, Pandey, Apsara, Gómez-Gómez, Brenda, Akyildiz, Aysenur Gunaydin, Morosan, Elena, Dwarica, Daniella, Dorj, Gantuya, Hasan, Sumaya Yusuf, Al-Shdayfat, Noha M., Knezevic, Bojana, Valladares, Wendy, Severi, Cecilia, Fuentes, Sofia Cuba, Augusto, Sofia, Sidorova, Elizaveta, Moelyaningrum, Anita Dewi, Alawad, Tafaul, Khalid, Atiqa, Elehamer, Nafisa M. K., Mihaylova, Anna, Tsigengagel, Oxana, Menouni, Aziza, Wojtecka, Agnieszka, Hod, Rozita, Idayat, Yusuf Banke, Othman, Khadija, Harfouch, Rim M., Paunov, Tsonco, Omar, Meruyert, Benderli, Nana Christine, Nurika, Globila, Amjad, Sana, Elnoamany, Salma, Elesrigy, Fatma, Shaban, Marwa Mamdouh, Acevedo-López, Doménica, Kartashova, Maria, Khalaf, Atika, Jaafar, Sabah Abdullah, Kadhim, Taisir A., Hweissa, Nada Ab, Teng, Yulong, Mohammed, Fatima E., Sasikumar, Thayahlini, Hikaambo, Christabel Nangandu, Kharat, Aditi, Lyamtseva, Ulyana, Aldeeb, Maya Arfan, Pawlas, Natalia, Khorolsuren, Lkhagvasuren, Koonjul, Roopeshwaree Pallavi, Maïnassara, Halima Boubacar, Chahal, Priyanka, Wangeci, Rose W., Kumar, Ainur B., Zamora-Corrales, Irina, Gracy, Stella, Mahamat, Maimouna, Adamczyk, Jakub, Rahman, Haliza Abdul, Matiashova, Lolita, Elsherif, Omneya Ezzat, Alkhateeb, Nazdar E., Aleaga, Yamilé, Bahrami, Shima, Al-salihy, Shaimaa Rahem, Cabrera-Galeana, Paula, Lalic-Popovic, Mladena, Brown-Myrie, Eugenie, Bhandari, Divya, Mayaboti, Cinderella Akbar, Stanišić, Svetlana, Pestic, Sanda Kreitmayer, Bektay, Muhammed Yunus, Al Sabbah, Haleama, Hashemi, Saber, Assia, Bouchetara, Merritt, Anne-Sophie, Ramzi, Zhian, Baboolal, Himawatee, Isstaif, Juman, Shami, Rula, Saad, Rahma, Nyirongo, Temwanani, and Hoseini, Mohammad

Published
2023
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95. COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring

Author

Amer, Rula, Frid-Adar, Maayan, Gozes, Ophir, Nassar, Jannette, and Greenspan, Hayit

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression. To achieve this goal, we developed a deep learning model for simultaneous detection and segmentation of pneumonia in chest Xray (CXR) images and generalized to COVID-19 pneumonia. The segmentations were utilized to calculate a "Pneumonia Ratio" which indicates the disease severity. The measurement of disease severity enables to build a disease extent profile over time for hospitalized patients. To validate the model relevance to the patient monitoring task, we developed a validation strategy which involves a synthesis of Digital Reconstructed Radiographs (DRRs - synthetic Xray) from serial CT scans; we then compared the disease progression profiles that were generated from the DRRs to those that were generated from CT volumes., Comment: paper was accepted to JBHI IEEE journal

Published
2020
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96. Knowledge Graphs

Author

Hogan, Aidan, Blomqvist, Eva, Cochez, Michael, d'Amato, Claudia, de Melo, Gerard, Gutierrez, Claudio, Gayo, José Emilio Labra, Kirrane, Sabrina, Neumaier, Sebastian, Polleres, Axel, Navigli, Roberto, Ngomo, Axel-Cyrille Ngonga, Rashid, Sabbir M., Rula, Anisa, Schmelzeisen, Lukas, Sequeda, Juan, Staab, Steffen, and Zimmermann, Antoine

Subjects
Computer Science - Artificial Intelligence, Computer Science - Databases, Computer Science - Machine Learning
Abstract

In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models and query languages that are used for knowledge graphs. We discuss the roles of schema, identity, and context in knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We summarise methods for the creation, enrichment, quality assessment, refinement, and publication of knowledge graphs. We provide an overview of prominent open knowledge graphs and enterprise knowledge graphs, their applications, and how they use the aforementioned techniques. We conclude with high-level future research directions for knowledge graphs., Comment: Revision from v5: Correcting errata from previous version for entailment/models, and some other minor typos

Published
2020
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99. Common myths and misconceptions about breast cancer causation among Palestinian women: a national cross-sectional study

Author

Elshami, Mohamedraed, Ismail, Islam Osama, Alser, Mohammed, Al-Slaibi, Ibrahim, Ghithan, Roba Jamal, Usrof, Faten Darwish, Qawasmi, Malak Ayman Mousa, Okshiya, Heba Mahmoud, Shurrab, Nouran Ramzi Shaban, Mahfouz, Ibtisam Ismail, Fannon, Aseel AbdulQader, Hawa, Mona Radi Mohammad, Giacaman, Narmeen, Ahmaro, Manar, Zaatreh, Rula Khader, AbuKhalil, Wafa Aqel, Melhim, Noor Khairi, Madbouh, Ruba Jamal, Hziema, Hala Jamal Abu, Lahlooh, Raghad Abed-Allateef, Ubaiat, Sara Nawaf, Jaffal, Nour Ali, Alawna, Reem Khaled, Abed, Salsabeel Naeem, Abuzahra, Bessan Nimer Ali, Kwaik, Aya Jawad Abu, Dodin, Mays Hafez, Taha, Raghad Othman, Alashqar, Dina Mohammed, Mobarak, Roaa Abd-al-Fattah, Smerat, Tasneem, Albarqi, Shurouq I., Abu-El-Noor, Nasser, and Bottcher, Bettina

Published
2023
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