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Article: Comparison of Circular and Rectangular-Shaped Electrodes for Electrical Impedance Myography Measurements on Human Upper Arms.

Ahad, Mohammad A / Baidya, Somen / Tarek, Md Nurul

2023 Volume 14, Issue 6

Abstract: Electrical Impedance Myography (EIM) is a painless, noninvasive approach for assessing muscle conditions through the application of a high-frequency, low-intensity current to the muscle region of interest. However, besides muscle properties, EIM ... ...

Abstract	Electrical Impedance Myography (EIM) is a painless, noninvasive approach for assessing muscle conditions through the application of a high-frequency, low-intensity current to the muscle region of interest. However, besides muscle properties, EIM measurements vary significantly with changes in some other anatomical properties such as subcutaneous skin-fat (SF) thickness and muscle girth, as well as non-anatomical factors, such as ambient temperature, electrode shape, inter-electrode distance, etc. This study has been conducted to compare the effects of different electrode shapes in EIM experiments, and to propose an acceptable configuration that is less dependent on factors other than the cellular properties of the muscle. Initially, a finite element model with two different kinds of electrode shapes, namely, rectangular (the conventional shape) and circular (the proposed shape) was designed for a subcutaneous fat thickness ranging from 5 mm to 25 mm. The study concludes, based on the FEM study, that replacing the conventional electrodes with our proposed electrodes can decrease the variation in EIM parameters due to changes in skin-fat thickness by 31.92%. EIM experiments on human subjects with these two kinds of electrode shapes validate our finite element simulation results, and show that circular electrodes can improve EIM effectiveness significantly, irrespective of muscle shape variation.
Language	English
Publishing date	2023-05-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2620864-7
ISSN	2072-666X
ISSN	2072-666X
DOI	10.3390/mi14061179
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Evaluating Study Approach of Dental Students in Palestine using a Study Process Questionnaire: A Cross-Sectional Study.

Rabi, Tarek / Arandi, Naji Z / Rabi, Hakam / Assaf, Mohammad

Journal of pharmacy & bioallied sciences

2024 Volume 16, Issue Suppl 1, Page(s) S122–S124

Abstract: Background: Learning approach strategies are an important factor to obtain knowledge in any professional course. Surface approach learning and deep approach learning are two main types of learning strategies.: Aim: The aim of present study was to ... ...

Abstract	Background: Learning approach strategies are an important factor to obtain knowledge in any professional course. Surface approach learning and deep approach learning are two main types of learning strategies. Aim: The aim of present study was to evaluate the study approach strategies of dental students in Palestine. Materials and methods: The present study follows a cross-sectional study design, which includes 250 students from first year to fifth year at Al Quds University. The present study evaluated the study approach using a questionnaire called R-SPQ-2F that was filled by all the students using Google forms. The assessment scores from the curriculum assessment examination were also compared with the scores of the R-SPQ-2F questionnaire. SPSS software was used to analyze data. Results: The results of the ANOVA show that the students in the fifth years had significantly higher mean scores of deep learning approaches than other years ( Conclusion: Deep learning approach can provide better academic outcome. Newer teaching strategies that enhance the deep learning approach should be encouraged in the dental curriculum.
Language	English
Publishing date	2024-02-29
Publishing country	India
Document type	Journal Article
ZDB-ID	2573569-X
ISSN	0975-7406 ; 0976-4879
ISSN (online)	0975-7406
ISSN	0976-4879
DOI	10.4103/jpbs.jpbs_412_23
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Article: Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network.

Khan Mamun, Mohammad Mahbubur Rahman / Elfouly, Tarek

Bioengineering (Basel, Switzerland)

2023 Volume 10, Issue 7

Abstract: Heart disease is a significant public health problem, and early detection is crucial for effective treatment and management. Conventional and noninvasive techniques are cumbersome, time-consuming, inconvenient, expensive, and unsuitable for frequent ... ...

Abstract	Heart disease is a significant public health problem, and early detection is crucial for effective treatment and management. Conventional and noninvasive techniques are cumbersome, time-consuming, inconvenient, expensive, and unsuitable for frequent measurement or diagnosis. With the advance of artificial intelligence (AI), new invasive techniques emerging in research are detecting heart conditions using machine learning (ML) and deep learning (DL). Machine learning models have been used with the publicly available dataset from the internet about heart health; in contrast, deep learning techniques have recently been applied to analyze electrocardiograms (ECG) or similar vital data to detect heart diseases. Significant limitations of these datasets are their small size regarding the number of patients and features and the fact that many are imbalanced datasets. Furthermore, the trained models must be more reliable and accurate in medical settings. This study proposes a hybrid one-dimensional convolutional neural network (1D CNN), which uses a large dataset accumulated from online survey data and selected features using feature selection algorithms. The 1D CNN proved to show better accuracy compared to contemporary machine learning algorithms and artificial neural networks. The non-coronary heart disease (no-CHD) and CHD validation data showed an accuracy of 80.1% and 76.9%, respectively. The model was compared with an artificial neural network, random forest, AdaBoost, and a support vector machine. Overall, 1D CNN proved to show better performance in terms of accuracy, false negative rates, and false positive rates. Similar strategies were applied for four more heart conditions, and the analysis proved that using the hybrid 1D CNN produced better accuracy.
Language	English
Publishing date	2023-07-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2746191-9
ISSN	2306-5354
ISSN	2306-5354
DOI	10.3390/bioengineering10070796
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Article ; Online: Costas Sparse 2-D Arrays for High-Resolution Ultrasound Imaging.

Masoumi, Mohammad Hadi / Kaddoura, Tarek / Zemp, Roger James

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

2023 Volume 70, Issue 5, Page(s) 460–472

Abstract: Two-dimensional arrays enable volumetric ultrasound imaging but have been limited to small aperture size and hence low resolution due to the high cost and complexity of fabrication, addressing, and processing associated with large fully addressed arrays. ...

Abstract	Two-dimensional arrays enable volumetric ultrasound imaging but have been limited to small aperture size and hence low resolution due to the high cost and complexity of fabrication, addressing, and processing associated with large fully addressed arrays. Here, we propose Costas arrays as a gridded sparse 2-D array architecture for volumetric ultrasound imaging. Costas arrays have exactly one element for every row and column, such that the vector displacement between any pair of elements is unique. These properties ensure aperiodicity, which helps eliminate grating lobes. Compared with previously reported works, we studied the distribution of active elements based on an order-256 Costas layout on a wider aperture ( 96 λ×96 λ at 7.5 MHz center frequency) for high-resolution imaging. Our investigations with focused scanline imaging of point targets and cyst phantoms showed that Costas arrays exhibit lower peak sidelobe levels compared with random sparse arrays of the same size and offer comparable performance in terms of contrast compared with Fermat spiral arrays. In addition, Costas arrays are gridded, which could ease the manufacturing and has one element for each row/column, which enables simple interconnection strategies. Compared with state-of-the-art matrix probes, which are commonly 32×32 , the proposed sparse arrays achieve higher lateral resolution and a wider field of view.
Language	English
Publishing date	2023-04-26
Publishing country	United States
Document type	Journal Article
ISSN	1525-8955
ISSN (online)	1525-8955
DOI	10.1109/TUFFC.2023.3256339
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Article ; Online: Pharmacokinetic Basis of the Hydroxychloroquine Response in COVID-19: Implications for Therapy and Prevention.

Tarek, Mohammad / Savarino, Andrea

European journal of drug metabolism and pharmacokinetics

2020 Volume 45, Issue 6, Page(s) 715–723

Abstract: Background and objectives: Chloroquine/hydroxychloroquine has recently been the subject of intense debate regarding its potential antiviral activity against SARS-Cov-2, the etiologic agent of COVID-19. Some report possible curative effects; others do ... ...

Abstract	Background and objectives: Chloroquine/hydroxychloroquine has recently been the subject of intense debate regarding its potential antiviral activity against SARS-Cov-2, the etiologic agent of COVID-19. Some report possible curative effects; others do not. Therefore, the objective of this study was to simulate possible scenarios of response to hydroxychloroquine in COVID-19 patients using mathematical modeling. Methods: To shed some light on this controversial topic, we simulated hydroxychloroquine-based interventions on virus/host cell dynamics using a basic system of previously published differential equations. Mathematical modeling was implemented using Python programming language v 3.7. Results: According to mathematical modeling, hydroxychloroquine may have an impact on the amplitude of the viral load peak and viral clearance if the drug is administered early enough (i.e., when the virus is still confined within the pharyngeal cavity). The effects of chloroquine/hydroxychloroquine may be fully explained only when also considering the capacity of this drug to increase the death rate of SARS-CoV-2-infected cells, in this case by enhancing the cell-mediated immune response. Conclusions: These considerations may not only be applied to chloroquine/hydroxychloroquine but may have more general implications for development of anti-COVID-19 combination therapies and prevention strategies through an increased death rate of the infected cells.
MeSH term(s)	Betacoronavirus/drug effects ; COVID-19 ; Chloroquine/pharmacokinetics ; Chloroquine/therapeutic use ; Coronavirus Infections/drug therapy ; Coronavirus Infections/metabolism ; Coronavirus Infections/prevention & control ; Humans ; Hydroxychloroquine/pharmacokinetics ; Hydroxychloroquine/therapeutic use ; Immunity, Cellular/drug effects ; Models, Theoretical ; Pandemics/prevention & control ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/metabolism ; Pneumonia, Viral/prevention & control ; SARS-CoV-2
Chemical Substances	Hydroxychloroquine (4QWG6N8QKH) ; Chloroquine (886U3H6UFF)
Keywords	covid19
Language	English
Publishing date	2020-08-03
Publishing country	France
Document type	Journal Article
ZDB-ID	196729-0
ISSN	2107-0180 ; 0398-7639 ; 0378-7966
ISSN (online)	2107-0180
ISSN	0398-7639 ; 0378-7966
DOI	10.1007/s13318-020-00640-6
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Article ; Online: International Medical Graduates in US Orthopedic Residency Programs: A Comprehensive Analysis.

Fares, Mohamad Y / Boufadel, Peter / Daher, Mohammad / Shehade, Tarek Haj / Singh, Jaspal / Abboud, Joseph A

Rhode Island medical journal (2013)

2024 Volume 107, Issue 2, Page(s) 40–43

Abstract: Background: This study aims to provide insight regarding the different qualities of international medical graduates (IMGs) involved in US orthopedic residency programs.: Methods: Orthopedic residency programs accredited by the ACGME and listed in the ...

Abstract	Background: This study aims to provide insight regarding the different qualities of international medical graduates (IMGs) involved in US orthopedic residency programs. Methods: Orthopedic residency programs accredited by the ACGME and listed in the AMA database were screened. Data on program size and location, IMG year of training, the geographic region of IMG's medical schools, their research experiences and number of gap years were included. Results: A total of 167(80.3%) orthopedic residency programs were included. A total of 3838 residents were identified, of which 44 (1.15%) were IMGs. The United Kingdom and Ireland had the highest number of matched IMGs with four (9.1%) each. Massachusetts was the state with the highest number of enrolled IMGs. On average, IMGs had 26.3 publications and joined US orthopedic residency 4.66 years following medical school graduation. Conclusion: Despite the many hurdles experienced by IMGs, a decent number succeeds in matching into US orthopedic residency programs each year.
MeSH term(s)	Humans ; United States ; Internship and Residency ; Foreign Medical Graduates ; Education, Medical, Graduate ; Educational Measurement ; Schools, Medical
Language	English
Publishing date	2024-02-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	419430-5
ISSN	2327-2228 ; 0363-7913
ISSN (online)	2327-2228
ISSN	0363-7913
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Article: Laparotomy closure using a surgical spoon.

Bait Almal, Tarek / AlDkhail, Mohammad / Alharbi, Norah / Abusulayman, Lina

Journal of surgical case reports

2023 Volume 2023, Issue 12, Page(s) rjad698

Abstract: This study introduces the novel use of a surgical spoon in the closure of midline laparotomy and compares it to known instruments such as the malleable ribbon retractor and the fish glassman viscera retainer. The surgical spoon was implemented in ... ...

Abstract	This study introduces the novel use of a surgical spoon in the closure of midline laparotomy and compares it to known instruments such as the malleable ribbon retractor and the fish glassman viscera retainer. The surgical spoon was implemented in multiple cases at King Faisal Specialist Hospital & Research center, to help close laparotomy incisions, specifically in hyperthermic intraperitoneal chemotherapy surgeries. Unlike currently available retainers, the spoon's concave shape protects underlying viscera and guides the needle, during closure.
Language	English
Publishing date	2023-12-30
Publishing country	England
Document type	Case Reports
ZDB-ID	2580919-2
ISSN	2042-8812
ISSN	2042-8812
DOI	10.1093/jscr/rjad698
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Article ; Online: In Reply.

Maher, Mohammad Ahmed / Sayyed, Tarek Mohammad

Obstetrics and gynecology

2017 Volume 130, Issue 5, Page(s) 1157–1158

Language	English
Publishing date	2017-09-15
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	207330-4
ISSN	1873-233X ; 0029-7844
ISSN (online)	1873-233X
ISSN	0029-7844
DOI	10.1097/AOG.0000000000002340
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Article ; Online: In Reply.

Maher, Mohammad Ahmed / Sayyed, Tarek Mohammad

Obstetrics and gynecology

2017 Volume 130, Issue 1, Page(s) 219–220

Language	English
Publishing date	2017-05-03
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	207330-4
ISSN	1873-233X ; 0029-7844
ISSN (online)	1873-233X
ISSN	0029-7844
DOI	10.1097/AOG.0000000000002126
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Article ; Online: Semi-supervised learning framework for oil and gas pipeline failure detection

Mohammad H. Alobaidi / Mohamed A. Meguid / Tarek Zayed

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 11

Abstract: Abstract Quantifying failure events of oil and gas pipelines in real- or near-real-time facilitates a faster and more appropriate response plan. Developing a data-driven pipeline failure assessment model, however, faces a major challenge; failure history, ...

Abstract	Abstract Quantifying failure events of oil and gas pipelines in real- or near-real-time facilitates a faster and more appropriate response plan. Developing a data-driven pipeline failure assessment model, however, faces a major challenge; failure history, in the form of incident reports, suffers from limited and missing information, making it difficult to incorporate a persistent input configuration to a supervised machine learning model. The literature falls short on the development of appropriate solutions to utilize incomplete databases and incident reports in the pipeline failure problem. This work proposes a semi-supervised machine learning framework which mines existing oil and gas pipeline failure databases. The proposed cluster-impute-classify (CIC) approach maps a relevant subset of the failure databases through which missing information in the incident report is reconstructed. A classifier is then trained on the fly to learn the functional relationship between the descriptors from a diverse feature set. The proposed approach, presented within an ensemble learning architecture, is easily scalable to various pipeline failure databases. The results show up to 91% detection accuracy and stable generalization ability against increased rate of missing information.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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