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Book: Cardiac anesthesia

Minhaj, Mohammed M.

a problem-based learning approach

(Anesthesiology : a problem-based learning approach)

2019

Author's details	edited by Mohammed M. Minhaj
Series title	Anesthesiology : a problem-based learning approach
Keywords	Anesthesia, Cardiac Procedures / methods
Language	English
Size	xiii, 389 Seiten, Illustrationen
Publisher	Oxford University Press
Publishing place	New York, NY
Publishing country	United States
Document type	Book
HBZ-ID	HT020132308
ISBN	978-0-19-088451-2 ; 0-19-088451-7
Database	Catalogue ZB MED Medicine, Health

In stock of ZB MED Cologne/Königswinter

Shelf mark	Loan status	Location
2019 A 990	available for loan (reading room)	Lesesaal EG

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Article ; Online: A Tiny Matched Filter-Based CNN for Inter-Patient ECG Classification and Arrhythmia Detection at the Edge.

Farag, Mohammed M

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 3

Abstract: Automated electrocardiogram (ECG) classification using machine learning (ML) is extensively utilized for arrhythmia detection. Contemporary ML algorithms are typically deployed on the cloud, which may not always meet the availability and privacy ... ...

Abstract	Automated electrocardiogram (ECG) classification using machine learning (ML) is extensively utilized for arrhythmia detection. Contemporary ML algorithms are typically deployed on the cloud, which may not always meet the availability and privacy requirements of ECG monitoring. Edge inference is an emerging alternative that overcomes the concerns of cloud inference; however, it poses new challenges due to the demanding computational requirements of modern ML algorithms and the tight constraints of edge devices. In this work, we propose a tiny convolutional neural network (CNN) classifier for real-time monitoring of ECG at the edge with the aid of the matched filter (MF) theory. The MIT-BIH dataset with inter-patient division is used for model training and testing. The model generalization capability is validated on the INCART, QT, and PTB diagnostic databases, and the model performance in the presence of noise is experimentally analyzed. The proposed classifier can achieve average accuracy, sensitivity, and F1 scores of 98.18%, 91.90%, and 92.17%, respectively. The sensitivity of detecting supraventricular and ventricular ectopic beats (SVEB and VEB) is 85.3% and 96.34%, respectively. The model is 15 KB in size, with an average inference time of less than 1 ms. The proposed model achieves superior classification and real-time performance results compared to the state-of-the-art ECG classifiers while minimizing the model complexity. The proposed classifier can be readily deployed on a wide range of resource-constrained edge devices for arrhythmia monitoring, which can save millions of cardiovascular disease patients.
MeSH term(s)	Humans ; Neural Networks, Computer ; Arrhythmias, Cardiac/diagnosis ; Algorithms ; Heart Ventricles ; Electrocardiography ; Signal Processing, Computer-Assisted ; Heart Rate
Language	English
Publishing date	2023-01-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23031365
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: HEPCIDIN AND IRON BIOMARKERS MODULATED IN HEMODIALYSIS PATIENTS.

Mohammed, M / Sarhat, E / Marbut, M

Georgian medical news

2024 , Issue 344, Page(s) 101–105

Abstract: Chronic kidney disease (CKD) describes abnormal kidney function and/or structure. It is common, frequently unrecognized, and often exists together with other conditions.Aim - to investigate the role of serum hepcidin in inflammation among hemodialysis ... ...

Abstract	Chronic kidney disease (CKD) describes abnormal kidney function and/or structure. It is common, frequently unrecognized, and often exists together with other conditions.Aim - to investigate the role of serum hepcidin in inflammation among hemodialysis patients with chronic kidney disease (CKD).This prospective hospital-based study conducted in Kirkuk city included 30 CKD patients undergoing regular hemodialysis at Kirkuk General Hospital, along with 30 healthy individuals as controls. Blood samples were collected before and after hemodialysis, as well as from the control group, and analyzed for various parameters. The blood samples were collected for determination of hepcidin levels were determined using Enzyme-Linked Immunosorbent Assay, while S. iron, total iron-binding capacity (TIBC).The study found that HD patients had significantly higher levels of serum hepcidin compared to the control group. The mean serum hepcidin level in HD patients was 246.1±72.4 ng/ml, while in the control group, it was 105.7±20.2 ng/ml. Serum ferritin levels were also found to be significantly higher in HD patients compared to the control group (430.5±148.3 ng/ml vs. 153.8±60.6 ng/ml). HD patients had lower serum iron and total iron-binding capacity (TIBC) levels compared to the control group (63.10±15.62 µg/dl vs. 92.98±26.68 µg/dl and 265.4±61.1 µg/dl vs. 273.3±65.9 µg/dl, respectively). After dialysis, both serum hepcidin levels decreased, with the mean serum hepcidin decreasing from 246.1±72.4 ng/ml to 206.3±61.8 ng/ml The study also demonstrated a positive correlation between hepcidin levels serum ferritin, urea, and creatinine, and a negative correlation with serum iron and hemoglobin levels in patients before hemodialysis.HD patients have higher levels of serum hepcidin, ferritin, iron and TIBC, suggesting potential involvement in inflammation and iron metabolism dysregulation.
MeSH term(s)	Humans ; Hepcidins ; Prospective Studies ; Renal Dialysis ; Biomarkers ; Ferritins ; Inflammation ; Renal Insufficiency, Chronic/therapy
Chemical Substances	Hepcidins ; Biomarkers ; Ferritins (9007-73-2)
Language	English
Publishing date	2024-01-18
Publishing country	Georgia (Republic)
Document type	Journal Article
ZDB-ID	2443648-3
ISSN	1512-0112
ISSN	1512-0112
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Eleven game elements for female nonadaptive gamification courses

Mohammed M. Alsofyani

Heliyon, Vol 9, Iss 1, Pp e12699- (2023)

2023

Abstract: Based on the HEXAD framework, this study examines the size of female gamification user types and explores universal game elements for developing nonadaptive courses. A HEXAD scale questionnaire completed from 309 female university students. Data analysis ...

Abstract	Based on the HEXAD framework, this study examines the size of female gamification user types and explores universal game elements for developing nonadaptive courses. A HEXAD scale questionnaire completed from 309 female university students. Data analysis was completed using frequency measures and the one-way ANOVA test. The dominant user types and universal game elements related to content, learning activities, and assessment were identified. The study found that game elements of challenge, choice, collection, competition, customisation, guild, leader board, level, lottery, prize, and voting have the highest preference amongst female students according to their gamification user types. When designing courses for female students, designers must focus on the most preferred game elements to improve the engagement of the gamification environment by female students. The study also showed that most female students were philanthropists and disruptors, whereas socializers and achievers were the smallest minority. Philanthropists play for a purpose, and in the context of the study sample, the purpose could be personal need or academic goals. Results were discussed in the light of self-determination theory and personality traits of female university students. Research implications indicate how the findings may be significant for faculties, instructional designers and internal auditing committees in higher education institutions.
Keywords	Online learning ; Gamification Hexad user type ; Female students ; Game elements ; Nonadaptive learning ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online ; E-Book: Islamic perspectives on the principles of biomedical ethics

Ghaly, Mohammed

muslim religious scholars and biomedical scientists in face-to-face dialogue with western bioethicists

(Intercultural dialogue in bioethics ; vol. 1)

2016

Author's details	editor Mohammed Ghaly
Series title	Intercultural dialogue in bioethics ; vol. 1
Collection
Keywords	Bioethics ; Islam ; Religion and Medicine
Subject code	174.2
Language	English
Size	1 Online-Ressource (xvii, 430 Seiten), Illustrationen
Publisher	World Scientific
Publishing place	London
Publishing country	Great Britain
Document type	Book ; Online ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
HBZ-ID	HT019788654
ISBN	978-1-78634-048-1 ; 9781786340474 ; 1-78634-048-8 ; 178634047X
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Antioxidant and Antimicrobial Potencies of Chemically-Profiled Essential Oil from

Aljeldah, Mohammed M

Molecules (Basel, Switzerland)

2022 Volume 27, Issue 11

Abstract: Recently, the antimicrobial potential of essential oils extracted from plants has gained extensive research interest, primarily for the development of novel antimicrobial treatments to combat emerging microbial resistance. The current study aims at ... ...

Abstract	Recently, the antimicrobial potential of essential oils extracted from plants has gained extensive research interest, primarily for the development of novel antimicrobial treatments to combat emerging microbial resistance. The current study aims at investigating the antimicrobial activity and chemical composition of essential oil derived from gold coin daisy, which is known as
MeSH term(s)	Anti-Bacterial Agents/chemistry ; Anti-Bacterial Agents/pharmacology ; Anti-Infective Agents/chemistry ; Anti-Infective Agents/pharmacology ; Antioxidants/chemistry ; Antioxidants/pharmacology ; Asteraceae ; Candida albicans ; Escherichia coli ; Gas Chromatography-Mass Spectrometry ; Microbial Sensitivity Tests ; Oils, Volatile/chemistry ; Oils, Volatile/pharmacology ; Pseudomonas aeruginosa ; Staphylococcus aureus
Chemical Substances	Anti-Bacterial Agents ; Anti-Infective Agents ; Antioxidants ; Oils, Volatile
Language	English
Publishing date	2022-05-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules27113539
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Antimicrobial Resistance and Its Spread Is a Global Threat.

Aljeldah, Mohammed M

Antibiotics (Basel, Switzerland)

2022 Volume 11, Issue 8

Abstract: Antimicrobial resistance (AMR) is a challenge to human wellbeing the world over and is one of the more serious public health concerns. AMR has the potential to emerge as a serious healthcare threat if left unchecked, and could put into motion another ... ...

Abstract	Antimicrobial resistance (AMR) is a challenge to human wellbeing the world over and is one of the more serious public health concerns. AMR has the potential to emerge as a serious healthcare threat if left unchecked, and could put into motion another pandemic. This establishes the need for the establishment of global health solutions around AMR, taking into account microdata from different parts of the world. The positive influences in this regard could be establishing conducive social norms, charting individual and group behavior practices that favor global human health, and lastly, increasing collective awareness around the need for such action. Apart from being an emerging threat in the clinical space, AMR also increases treatment complexity, posing a real challenge to the existing guidelines around the management of antibiotic resistance. The attribute of resistance development has been linked to many genetic elements, some of which have complex transmission pathways between microbes. Beyond this, new mechanisms underlying the development of AMR are being discovered, making this field an important aspect of medical microbiology. Apart from the genetic aspects of AMR, other practices, including misdiagnosis, exposure to broad-spectrum antibiotics, and lack of rapid diagnosis, add to the creation of resistance. However, upgrades and innovations in DNA sequencing technologies with bioinformatics have revolutionized the diagnostic industry, aiding the real-time detection of causes of AMR and its elements, which are important to delineating control and prevention approaches to fight the threat.
Language	English
Publishing date	2022-08-09
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2681345-2
ISSN	2079-6382
ISSN	2079-6382
DOI	10.3390/antibiotics11081082
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Matched Filter Interpretation of CNN Classifiers with Application to HAR.

Farag, Mohammed M

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 20

Abstract: Time series classification is an active research topic due to its wide range of applications and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous in modern machine learning (ML) models. In this work, we present a ... ...

Abstract	Time series classification is an active research topic due to its wide range of applications and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous in modern machine learning (ML) models. In this work, we present a matched filter (MF) interpretation of CNN classifiers accompanied by an experimental proof of concept using a carefully developed synthetic dataset. We exploit this interpretation to develop an MF CNN model for time series classification comprising a stack of a Conv1D layer followed by a GlobalMaxPooling layer acting as a typical MF for automated feature extraction and a fully connected layer with softmax activation for computing class probabilities. The presented interpretation enables developing superlight highly accurate classifier models that meet the tight requirements of edge inference. Edge inference is emerging research that addresses the latency, availability, privacy, and connectivity concerns of the commonly deployed cloud inference. The MF-based CNN model has been applied to the sensor-based human activity recognition (HAR) problem due to its significant importance in a broad range of applications. The UCI-HAR, WISDM-AR, and MotionSense datasets are used for model training and testing. The proposed classifier is tested and benchmarked on an android smartphone with average accuracy and F1 scores of 98% and 97%, respectively, which outperforms state-of-the-art HAR methods in terms of classification accuracy and run-time performance. The proposed model size is less than 150 KB, and the average inference time is less than 1 ms. The presented interpretation helps develop a better understanding of CNN operation and decision mechanisms. The proposed model is distinguished from related work by jointly featuring interpretability, high accuracy, and low computational cost, enabling its ready deployment on a wide set of mobile devices for a broad range of applications.
MeSH term(s)	Humans ; Neural Networks, Computer ; Human Activities ; Machine Learning ; Smartphone
Language	English
Publishing date	2022-10-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22208060
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A rare case of invasive endometriosis causing intestinal obstruction.

Thirumurthy, Sathish K / Mohammed, Mahsheena

Journal of surgical case reports

2024 Volume 2024, Issue 2, Page(s) rjae082

Abstract: A 35-year-old woman presented to the emergency department with severe right iliac fossa pain with features of subacute intestinal obstruction and recurrent episodes of similar pain in the past. CT scan showed a mass with fluid collection with no trace of ...

Abstract	A 35-year-old woman presented to the emergency department with severe right iliac fossa pain with features of subacute intestinal obstruction and recurrent episodes of similar pain in the past. CT scan showed a mass with fluid collection with no trace of the appendix in the right iliac fossa. The patient was taken up for a diagnostic laparoscopy and proceeded. Operative findings were that of a mass in the lumen of the terminal ileum just 6 inches from the ileocaecal junction. Normal pelvis with normal uterus and ovaries. The patient underwent a laparoscopic resection of the terminal ileum and limited resection of the ascending colon with an ileo-colic anastomosis. The patient recovered well and was discharged. The biopsy was reported as invasive endometriosis involving the muscularis layer of the terminal ileum with stricture of the terminal ileum with transmural inflammation. The case is being presented for the rarity of invasive endometriosis causing bowel obstruction with a normal pelvis.
Language	English
Publishing date	2024-02-21
Publishing country	England
Document type	Case Reports
ZDB-ID	2580919-2
ISSN	2042-8812
ISSN	2042-8812
DOI	10.1093/jscr/rjae082
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Deficits in the pupillary response associated with abnormal visuospatial attention allocation in mild traumatic brain injury.

Alnawmasi, Mohammed M / Khuu, Sieu K

Journal of clinical and experimental neuropsychology

2024 Volume 45, Issue 9, Page(s) 855–873

Abstract: Introduction: The ability to allocate visual attention is known to be impaired in patients with mild traumatic brain injury (mTBI). In the present study, we investigated a possible neural correlate of this cognitive deficit by examining the pupil ... ...

Abstract	Introduction: The ability to allocate visual attention is known to be impaired in patients with mild traumatic brain injury (mTBI). In the present study, we investigated a possible neural correlate of this cognitive deficit by examining the pupil response of patients with mTBI whilst performing a modified Posner visual search task. Method: Two experiments were conducted in which the target location was either not cued (Experiment 1) or cued (Experiment 2). Additionally, in Experiment 2, the type of cue (endogenous vs exogenous cue) and cue validity were treated as independent variables. In both experiments, search efficiency was varied by changing shape similarity between target and distractor patterns. The reaction time required to judge whether the target was present or absent and pupil dilation metrics, particularly the pupil dilation latency (PDL) and amplitude (PDA), were measured. Thirteen patients with chronic mTBI and 21 age-, sex-, and IQ -matched controls participated in the study. Results: In Experiment 1, patients with mTBI displayed a similar PDA for both efficient and inefficient search conditions, while control participants had a significantly larger PDA in inefficient search conditions compared to efficient search conditions. As cognitive load is positively correlated with PDA, our findings suggest that mTBI patients were unable to apply more mental effort whilst performing visual search, particularly if the task is difficult when visual search is inefficient. In Experiment 2, when the target location was cued, patients with mTBI displayed no significant pupil dilation response to the target regardless of the efficiency of the search, nor whether the cue was valid or invalid. These results contrasted with control participants, who were additionally sensitive to the validity of the cue in which PDA was smaller for cue-valid conditions than invalid conditions, particularly for efficient search conditions. Conclusion: Pupillometry provided further evidence of attention allocation deficits following mTBI.
MeSH term(s)	Humans ; Brain Concussion/complications ; Cues ; Reaction Time/physiology ; Brain Injury, Chronic
Language	English
Publishing date	2024-02-18
Publishing country	England
Document type	Journal Article
ZDB-ID	605982-x
ISSN	1744-411X ; 0168-8634 ; 1380-3395
ISSN (online)	1744-411X
ISSN	0168-8634 ; 1380-3395
DOI	10.1080/13803395.2024.2314727
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