246 research outputs found
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
No full textIn the context of recommendation systems, addressing multi-behavioral user
interactions has become vital for understanding the evolving user behavior.
Recent models utilize techniques like graph neural networks and attention
mechanisms for modeling diverse behaviors, but capturing sequential patterns in
historical interactions remains challenging. To tackle this, we introduce
Hierarchical Masked Attention for multi-behavior recommendation (HMAR).
Specifically, our approach applies masked self-attention to items of the same
behavior, followed by self-attention across all behaviors. Additionally, we
propose historical behavior indicators to encode the historical frequency of
each items behavior in the input sequence. Furthermore, the HMAR model operates
in a multi-task setting, allowing it to learn item behaviors and their
associated ranking scores concurrently. Extensive experimental results on four
real-world datasets demonstrate that our proposed model outperforms
state-of-the-art methods. Our code and datasets are available here
(https://github.com/Shereen-Elsayed/HMAR)
sj-pdf-1-cre-10.1177_02692155211036956 – Supplemental material for Comparative effectiveness study of low versus high-intensity aerobic training with resistance training in community-dwelling older men with post-COVID 19 sarcopenia: A randomized controlled trial
No full textSupplemental material, sj-pdf-1-cre-10.1177_02692155211036956 for Comparative effectiveness study of low versus high-intensity aerobic training with resistance training in community-dwelling older men with post-COVID 19 sarcopenia: A randomized controlled trial by Gopal Nambi, Walid Kamal Abdelbasset, Saud M. Alrawaili, Shereen H. Elsayed, Anju Verma, Arul Vellaiyan, Marwa M. Eid, Osama R. Aldhafian, Naif A. Nwihadh and Ayman K. Saleh in Clinical Rehabilitation</p
sj-pdf-2-cre-10.1177_02692155211036956 – Supplemental material for Comparative effectiveness study of low versus high-intensity aerobic training with resistance training in community-dwelling older men with post-COVID 19 sarcopenia: A randomized controlled trial
No full textSupplemental material, sj-pdf-2-cre-10.1177_02692155211036956 for Comparative effectiveness study of low versus high-intensity aerobic training with resistance training in community-dwelling older men with post-COVID 19 sarcopenia: A randomized controlled trial by Gopal Nambi, Walid Kamal Abdelbasset, Saud M. Alrawaili, Shereen H. Elsayed, Anju Verma, Arul Vellaiyan, Marwa M. Eid, Osama R. Aldhafian, Naif A. Nwihadh and Ayman K. Saleh in Clinical Rehabilitation</p
Gender identification for Egyptian Arabic dialect in twitter using deep learning models
No full textAlthough the number of Arabic language writers in social media is increasing, the research work targeting Author Profiling (AP) is at the initial development phase. This paper investigates Gender Identification (GI) (male or female) of authors posting Egyptian dialect tweets using Neural Networks (NN) models. Various architectures of NN are explored with extensive parameters’ selection such as simple Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Long–Short Term Memory (LSTM), Convolutional Bidirectional Long-Short Term Memory (C-Bi-LSTM) and Convolutional Bidirectional Gated Recurrent Units (C-Bi-GRU) NN which is tuned for the GI problem at hand. The best acquired GI accuracy using C-Bi-GRU multichannel model is 91.37%. It is worth noting that the presence of the bidirectional layer as well as the convolutional layer in the NN models has significantly enhanced the GI accuracy
Beirut is Burning: Drag in the Creation of Queer Lebanese Identities
No full textThis thesis analyzes the role of drag performance in constructing a queer Lebanese identity and creating queer spaces and a queer community in Beirut, bound by a sectarian and communal context but also subjected to global processes of theorizing and enacting gender and sexuality. The project will thus focus upon both the subjectivities of the performers and the sociopolitical circumstances within which they operate to fully conceptualize the novelty of hybrid identities that are not located at the intersection of competing ideologies but, by constantly disrupting and challenging them, work to create new selves
Gender identification of egyptian dialect in twitter
No full textDespite the widespread of social media among all age groups in Arabic countries, the research directed towards Author Profiling (AP) is still in its early stages. This paper provides an Egyptian Dialect Gender Annotated Dataset (EDGAD) obtained from Twitter as well as a proposed text classification solution for the Gender Identification (GI) problem. The dataset consists of 70,000 tweets per gender. In text classification, a Mixed Feature Vector (MFV) with different stylometric and Egyptian Arabic Dialect (EAD) language-specific features is proposed, in addition to N-Gram Feature Vector (NFV). Ensemble weighted average is applied to the Random Forest (RF) with MFV and Logistic Regression (LR) with NFV. The achieved gender identification accuracy is 87.6%. Keywords: Text classification, Egyptian Arabic, Gender identification, Author profiling, Gender annotated datase
Correction: Guidelines for the prevention, detection and management of the renal complications of COVID-19 in Africa
No full textThe authors of the article ‘Guidelines for the prevention, detection and management of the renal complications of COVID-19 in Africa’ [1] wish to acknowledge the contribution of Professor Hussein El Fishawy. Our guidelines drew on various sources, including the Egyptian Ministry of Health guidelines, portions of which were adapted and reproduced with permission from the Egyptian Ministry of Health. Two of the authors of those guidelines, Professors Elsayed and Zaki, are also coauthors of our paper. Professor El Fishawy was the third author of the Egyptian guidelines and we would like to acknowledge his contribution to our review through this source, especially with respect to the treatment algorithms for patients with kidney transplants and those with acute kidney injury. Reference1. Elsayed HM, Wadee S, Zaki MS, Were AJO, Ashuntantang GE, Bamgboye EL, et al. Guidelines for the prevention, detection and management of the renal complications of COVID-19 in Africa. Afr J Nephrol. 2020; 23(1):109-126
Représentations littéraires du sacré dans le roman maghrébin de langue française
No full textThis interdisciplinary study explores how Driss Chraïbi’s L’Homme du Livre (1995), Assia Djebar’s Loin de Médine (1991), and Anissa Boumediène’s La fin d’un monde (1991) present accounts of particular historical moments in early Islam. This study explores the role of the imagination as well as freedom of invention when reconstructing historical events. It engages the novels through a study of the interplay between the literary text and the sources and traditions that impact and shape the text narrative. Gaining direct access to the original sources in Arabic serves to analyze how religious and early historical materials are considered in and reflected by the fictional texts. Because the sources tend to differ in both content and approach, this study examines their preoccupations in order to determine the criteria of selection applied by each novelist.Ph.D.Includes bibliographical referencesIncludes vitaby Hanan Elsaye
Intrathecal Drug Delivery Systems Survey: Trends in Utilization in Pain Practice [Corrigendum]
No full textAbd-Sayed A, Fiala K, Weisbein J, et al. J Pain Res. 2022;15:1305–1314.
The authors have advised there is an error in the author list on page 1305. The author name “Alaa Abd-Sayed” should read “Alaa Abd-Elsayed”.
The authors apologize for this error
Laparoscopic resection and repair of caesarean scar pregnancy
No full textThe presented work is case series over 2 years of caesarean scar pregnancy over 2 years from January 2020 to January 2022 in Zinat Alhayat hospital of maternity in Benha city Egypt. Cases recruited from those attending Zeinat Alhayat maternity hospital in Benha and all case proved to have caesarean scar pregnancy by ultrasonography and quantitative HCG the total number of cases were 15 over a period of two years, most of patients complained about abnormal uterine bleeding in the first trimester with abnormal abdominal pain, all cases prepared for laparoscopy in Zinat Alyayat hospital in Benha and a written consent taken then with general anesthesia pelvis and abdomen explored by laparoscopy and the site of the scar opened with a hook with the aid of a traumatic grasper and then sac evacuated and the old scar resected by laparoscopic scissor. Regarding epidemiological data of patients there were no statistically significant difference in age body weight age or the amount of pain by facial analogue scale of pain. All patients saved and laparoscopy done with an average time of 45 min with no operative or postoperative complications, only one of the cases with severe bleeding required blood transfusion of 2 units of blood because HB was 7.8 g/dl, so laparoscopic treatment of caesarean scar pregnancies is a good option for patients with short operative time and good outcomes without complications.
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