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  1. Book ; Online: An Update of Dental Implantology and Biomaterial

    Ahmad Almasri, Mazen

    2019  

    Keywords Oral & maxillofacial surgery ; bone graft, dental implants, bone regeneration, zirconia, osseointegration, peri-implantitis
    Language English
    Size 1 electronic resource (104 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030645115
    ISBN 9781838817565 ; 1838817565
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Maxillofacial Surgery and Craniofacial Deformity : Practices and Updates

    Ahmad Almasri, Mazen / Kummoona, Raja

    2020  

    Keywords Dentistry ; Oral & maxillofacial surgery
    Size 1 electronic resource (178 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021044940
    ISBN 9781838808525 ; 1838808523
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Designing Strategies for Cleft Lip and Palate Care

    Ahmad Almasri, Mazen

    2017  

    Keywords Plastic & reconstructive surgery ; genetics, cleft palate, cancer, epidemiology, epigenetics, dog
    Language English
    Size 1 electronic resource (176 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030646707
    ISBN 9789535173533 ; 9535173537
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Editorial Commentary: Hip Arthroscopy Outcomes in Older Patients Can Equal Outcomes in Younger Patients With Proper Surgical Indications.

    Almasri, Mahmoud / Ayeni, Olufemi R

    Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association

    2023  Volume 39, Issue 7, Page(s) 1660–1661

    Abstract: Hip arthroscopy patients often present with clinical features that help broadly categorize them as the younger patient with femoroacetabular impingement, the microinstability- or instability-related patient, those patients with predominant peripheral ... ...

    Abstract Hip arthroscopy patients often present with clinical features that help broadly categorize them as the younger patient with femoroacetabular impingement, the microinstability- or instability-related patient, those patients with predominant peripheral compartment disease, and the older patient with femoroacetabular impingement plus peripheral compartment disease. Outcomes in older patients can equal outcomes in younger patients with proper surgical indications. Specifically, older hip arthroscopy patients do well in the absence of degenerative articular cartilage changes. Although some studies have suggested a potential for greater conversion rate to hip arthroplasty in an older age group, with proper patient selection, hip arthroscopy may lead to durable and significant improvements.
    MeSH term(s) Humans ; Aged ; Hip Joint/surgery ; Femoracetabular Impingement/surgery ; Arthroscopy ; Treatment Outcome ; Arthroplasty, Replacement
    Language English
    Publishing date 2023-06-07
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 632528-2
    ISSN 1526-3231 ; 0749-8063
    ISSN (online) 1526-3231
    ISSN 0749-8063
    DOI 10.1016/j.arthro.2023.03.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Assessment of extracting molars and premolars after root canal treatment: A retrospective study.

    Almasri, Mazen

    The Saudi dental journal

    2019  Volume 31, Issue 4, Page(s) 487–491

    Abstract: Background: The loss of dentition after root canal treatment is a multifactorial entity which might differ between different teeth. The extraction can be more critical, as well as the rehabilitation options.: Aim: To analyze if the etiology of ... ...

    Abstract Background: The loss of dentition after root canal treatment is a multifactorial entity which might differ between different teeth. The extraction can be more critical, as well as the rehabilitation options.
    Aim: To analyze if the etiology of extracting root canal treated teeth is different between premolars and molars.
    Materials and methods: The study included a total of 403 cases with non-surgical root canal therapy (NSRCT) and crown coverage that was referred to the oral surgery clinic for extraction. Tooth type, patient's age, gender, time since treatment completion, and the reason for extractions were recorded and analyzed.
    Results: The most frequently extracted teeth were molars (55.6%), followed by premolars (30.3%) and anterior teeth (14.1%). The reasons for extraction were subgingival decay (SGD) (62.5%), vertical root fractures (VRF) (25.3%), and patient demands after uncomfortableabscess discharge (12.2%). Most of the teeth survived between 13 and 36 months after NSRCT. The statistical power of 0.92 was demonstrated, and a P-value of less than 0.05 presented significant correlations.
    Conclusion: Molars were extractedafter NSRCT due to SGD followed by premolars, which were extracted due to VRF. Special care should be taken while planning NSRCT treatment for molars, in particular, with emphasis on the importance of oral hygiene and follow-up visits.
    Language English
    Publishing date 2019-05-10
    Publishing country Saudi Arabia
    Document type Journal Article
    ZDB-ID 1058421-3
    ISSN 1658-3558 ; 1013-9052
    ISSN (online) 1658-3558
    ISSN 1013-9052
    DOI 10.1016/j.sdentj.2019.04.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Dental Implantology and Biomaterial

    Ahmad Jawad Amin Almasri, Mazen

    2016  

    Keywords Dentistry ; Oral & maxillofacial surgery
    Size 1 electronic resource (202 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021045933
    ISBN 9789535172895 ; 9535172891
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article: All-Arthroscopic Matrix-Associated Autologous Chondrocyte Implantation for a Trochlear Defect.

    Zhang, Ting / Akhter, Fauzan / Almasri, Mahmoud / Chilelli, Brian J

    Arthroscopy techniques

    2024  Volume 13, Issue 3, Page(s) 102895

    Abstract: Matrix-associated autologous chondrocyte implantation (MACI) is a 2-step technique designed to treat symptomatic full-thickness articular cartilage defects of the knee. In this technique article, MACI (autologous cultured chondrocytes on porcine collagen ...

    Abstract Matrix-associated autologous chondrocyte implantation (MACI) is a 2-step technique designed to treat symptomatic full-thickness articular cartilage defects of the knee. In this technique article, MACI (autologous cultured chondrocytes on porcine collagen membrane) is used to treat a femoral trochlear defect of the knee. Treating a defect with this technique leads to improved clinical outcomes by restoring the native chondral surface architecture and biomechanics of the knee. In addition, it has the potential to prevent or delay further progressive degeneration of the joint. It is a 2-stage procedure consisting of an initial arthroscopic cartilage biopsy, followed by 4 to 6 weeks of in vitro chondrocyte expansion and, finally, re-implantation. We recommend performing the MACI procedure arthroscopically for the second stage to treat a femoral trochlear defect. During the second surgical procedure, we examine and prepare the recipient site, followed by graft introduction in an all-arthroscopic manner via dry scoping, secured by a thin layer of fibrin glue.
    Language English
    Publishing date 2024-01-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2653101-X
    ISSN 2212-6287
    ISSN 2212-6287
    DOI 10.1016/j.eats.2023.102895
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: What is the diagnosis?

    Almasri, Murad / Salim, Hamza / Orcutt, Jeffrey

    European heart journal. Case reports

    2023  Volume 7, Issue 9, Page(s) ytad446

    Abstract: In this manuscript, we present an ECG that is diagnostic of congenitally corrected transposition of great arteries (ccTGA) and ask about the arrhythmias associated as well as the management options. ...

    Abstract In this manuscript, we present an ECG that is diagnostic of congenitally corrected transposition of great arteries (ccTGA) and ask about the arrhythmias associated as well as the management options.
    Language English
    Publishing date 2023-09-06
    Publishing country England
    Document type Case Reports
    ISSN 2514-2119
    ISSN (online) 2514-2119
    DOI 10.1093/ehjcr/ytad446
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model.

    Almasri, Miada / Al-Malki, Norah / Alotaibi, Reem

    PeerJ. Computer science

    2023  Volume 9, Page(s) e1425

    Abstract: Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection. Most of this research is focusing on supervised ... ...

    Abstract Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection. Most of this research is focusing on supervised machine learning methods that require the use of large, labeled datasets. Therefore, the aim of this research is to implement a semi-supervised self-training approach which utilizes a noisy student framework to enhance the capability of a deep learning model, AraBERT v02. The objective is to perform aspect category detection on both the SemEval 2016 hotel review dataset and the Hotel Arabic-Reviews Dataset (HARD) 2016. The four-step framework firstly entails developing a teacher model that is trained on the aspect categories of the SemEval 2016 labeled dataset. Secondly, it generates pseudo labels for the unlabeled HARD dataset based on the teacher model. Thirdly, it creates a noisy student model that is trained on the combined datasets (∼1 million sentences). The aim is to minimize the combined cross entropy loss. Fourthly, an ensembling of both teacher and student models is carried out to enhance the performance of AraBERT. Findings indicate that the ensembled teacher-student model demonstrates a 0.3% improvement in its micro F1 over the initial noisy student implementation, both in predicting the Aspect Categories in the combined datasets. However, it has achieved a 1% increase over the micro F1 of the teacher model. These results outperform both baselines and other deep learning models discussed in the related literature.
    Language English
    Publishing date 2023-06-08
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.1425
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Uncooled two-microbolometer stack for long wavelength infrared detection.

    Abdullah, Amjed / Koppula, Akshay / Alkorjia, Omar / Almasri, Mahmoud

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 3470

    Abstract: We have investigated an uncooled infrared (IR) detector utilizing a dual level architecture. This was achieved by combining two-microbolometer stack in the vertical direction to achieve high IR absorption over two distinct spectral windows across the ... ...

    Abstract We have investigated an uncooled infrared (IR) detector utilizing a dual level architecture. This was achieved by combining two-microbolometer stack in the vertical direction to achieve high IR absorption over two distinct spectral windows across the long wavelength infrared region (LWIR). In addition, we have studied amorphous silicon germanium oxide (Si
    Language English
    Publishing date 2023-03-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-30328-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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