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Article ; Online: Medical Students’ Perception of Their Education and Training to Cope with Future Market Trends [Retraction]

Iesa MAM

Advances in Medical Education and Practice, Vol Volume 11, Pp 337-

2020 Volume 338

Abstract: ... as references 19, 20 and 21:● Lunt N, Horsfall D, Smith R, Exworthy M, HanefeldJ, Mannion R. Market size, market ... Iesa MAM. Adv Med Educ Pract. 2020;11:237–243. The Editor-in-Chief and Publisher of Advances ...

Abstract	Iesa MAM. Adv Med Educ Pract. 2020;11:237–243. The Editor-in-Chief and Publisher of Advances in MedicalEducation and Practices wish to retract the publishedarticle. We were notified of potential discrepancies between threearticles cited in the Background Studies section of thepublished article. The cited articles do not appear relatedto the data they were being used to describe. The studiescited were listed as references 19, 20 and 21:● Lunt N, Horsfall D, Smith R, Exworthy M, HanefeldJ, Mannion R. Market size, market share and marketstrategy: three myths of medical tourism. PolicyPolitics. 2014;42(4):597–614. https://doi.org/10.1332/030557312X655918● Lempp H, Seale C. The hidden curriculum in undergraduatemedical education: qualitative study ofmedical students’ perceptions of teaching. BMJ.2004;329(7469):770–773. https://doi.org/10.1136/bmj.329.7469.770● Könings KD, Brand-Gruwel S, Van Merriënboer JJ.Towards more powerful learning environmentsthrough combining the perspectives of designers,teachers, and students. Br J Educ Psychol. 2005;75-( 4 ) : 6 4 5 – 6 6 0 . h t t p s : / / d o i . o r g / 1 0 . 1 3 4 8 /000709905X43616 The data being referred to by these references appears tohave come from another study which was not cited:● Rouhani MJ, Burleigh EJ, Hobbis C, Dunford C,Osman NI, Gan C, Gibbons NB, Ahmed HU, MiahS. UK medical students’ perceptions, attitudes, andinterest toward medical leadership and clinician managers.Adv Med Educ Pract. 2018;9:119–124. https://doi.org/10.2147/AMEP.S151436 The author was contacted but was unable to providea satisfactory explanation for the alleged discrepancies.The author was also unable to provide satisfactory rawdata for their study and could not provide details of thequestionnaires used for the survey or details of the UKmedical schools or students described in their study. Theeditor determined the findings of the study were no longervalid and requested for the article to be retracted. Our decision-making was informed by our policy on publishingethics and integrity and ...
Keywords	professionalism ; management skills ; qualitative study ; team work ; elements of professionalism ; Special aspects of education ; LC8-6691 ; Medicine (General) ; R5-920
Subject code	550
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Dove Medical Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SARS-CoV-2 and Plasmodium falciparum are probably adopting Analogous strategy to invade erythrocytes.

Konozy, Emadeldin H E / Osman, Makarim E M / Iesa, Mohamed A M

Journal of infection and public health

2021 Volume 14, Issue 7, Page(s) 883–885

MeSH term(s)	COVID-19 ; Erythrocytes ; Humans ; Malaria, Falciparum ; Plasmodium falciparum ; Protozoan Proteins ; SARS-CoV-2
Chemical Substances	Protozoan Proteins
Language	English
Publishing date	2021-06-09
Publishing country	England
Document type	Letter
ZDB-ID	2467587-8
ISSN	1876-035X ; 1876-0341
ISSN (online)	1876-035X
ISSN	1876-0341
DOI	10.1016/j.jiph.2021.04.014
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Article ; Online: Patient Behavioral Analysis with Smart Healthcare and IoT.

Tiwari, Anurag / Dhiman, Viney / Iesa, Mohamed A M / Alsarhan, Haider / Mehbodniya, Abolfazl / Shabaz, Mohammad

Behavioural neurology

2021 Volume 2021, Page(s) 4028761

Abstract: Patient behavioral analysis is the key factor for providing treatment to patients who may suffer from various difficulties including neurological disease, head trauma, and mental disease. Analyzing the patient's behavior helps in determining the root ... ...

Abstract	Patient behavioral analysis is the key factor for providing treatment to patients who may suffer from various difficulties including neurological disease, head trauma, and mental disease. Analyzing the patient's behavior helps in determining the root cause of the disease. In traditional healthcare, patient behavioral analysis has lots of challenges that were much more difficult. The patient behavior can be easily analyzed with the development of smart healthcare. Information technology plays a key role in understanding the concept of smart healthcare. A new generation of information technologies including IoT and cloud computing is used for changing the traditional healthcare system in all ways. Using Internet of Things in the healthcare institution enhances the effectiveness as well as makes it more personalized and convenient to the patients. The first thing that will be discussed in the article is the technologies that have been used to support the smart class, and further, there will be a discussion on the existing problems with the smart healthcare system and how these problems can be solved. This study can provide essential information about the role of smart healthcare and IoT in maintaining behavior of patent. Various biomarkers are maintained properly with the help of these technologies. This study can provide effective information about importance of smart health system. This smart healthcare is conducted with the involvement of proper architecture. This is treated as effective energy efficiency architecture. Artificial intelligence is used increasingly in healthcare to maintain diagnosis and other important factors of healthcare. This application is also used to maintain patient engagement, which is also included in this study. Major hardware components are also included in this technology such as CO sensor and CO
MeSH term(s)	Artificial Intelligence ; Delivery of Health Care ; Humans ; Internet of Things
Language	English
Publishing date	2021-11-03
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1001896-7
ISSN	1875-8584 ; 0953-4180
ISSN (online)	1875-8584
ISSN	0953-4180
DOI	10.1155/2021/4028761
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Article ; Online: SARS-CoV-2 and Plasmodium falciparum are probably adopting Analogous strategy to invade erythrocytes

Emadeldin H.E. Konozy / Makarim E.M. Osman / Mohamed A.M. Iesa

Journal of Infection and Public Health, Vol 14, Iss 7, Pp 883-

2021 Volume 885

Keywords	Infectious and parasitic diseases ; RC109-216 ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
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Article: Validation and development of RP-HPLC method for quantification of glibenclamide in rat plasma and its application to pharmacokinetic studies in wistar rats.

Mir, Khalid Bashir / Abrol, Vidushi / Wani, Taha U / Jan, Ishrat / Singh, Nasseb / Khan, Nisar A / Dar, Alamgir A / Sabri Sultan, Rania Mohammad / Lone, Showkat A / Iesa, Mohamed A M / Alhag, Sadeq K / Al-Shuraym, Laila A / Helm, Nawal / Al-Farga, Ammar

Heliyon

2023 Volume 9, Issue 11, Page(s) e20876

Abstract: Herein, we report a novel, simple, specific, accurate and cost-friendly validated reverse phase-high performance liquid chromatographic (RP-HPLC) method for the quantification of second generation sulphonylurea based antidiabetic drug, glibenclamide (GLB) ...

Abstract	Herein, we report a novel, simple, specific, accurate and cost-friendly validated reverse phase-high performance liquid chromatographic (RP-HPLC) method for the quantification of second generation sulphonylurea based antidiabetic drug, glibenclamide (GLB) in rat plasma and its application to calculate pharmacokinetic parameters in wistar rats. The internal standard used was flufenamic acid. The chromatographic separation was conducted on C
Language	English
Publishing date	2023-10-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e20876
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Article ; Online: Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model.

Ali Al-Abyadh, Mohammed Hasan / Iesa, Mohamed A M / Hafeez Abdel Azeem, Hani Abdel / Singh, Devesh Pratap / Kumar, Pardeep / Abdulamir, Mohamed / Jalali, Asadullah

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 6595799

Abstract: Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependability ... ...

Abstract	Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependability of numerous hybrid approaches on a variety of datasets. Across domains and datasets, we compare hybrid models to singles. Text tweets and reviews are included in our deep sentiment analysis learning systems. The support vector machine (SVM), Long Short-Term Memory (LSTM), and ghost model convolution neural network (CNN) are combined to get the hybrid model. The dependability and computation time of each approach were evaluated. On all datasets, hybrid models outperform single models when deep learning and SVM are combined. The traditional models were less trustworthy, and deep learning algorithms have recently shown their enormous promise in sentiment analysis. Linear transformations are used in feature maps to eliminate duplicate or related features. The ghost unit makes ghost features by taking away attributes that are both similar and duplicated from each intrinsic feature. LSTM produces higher results but takes longer to process, while CNN needs less hyperparameter adjusting and monitoring. The effectiveness of the integrated model varies depending on the work, and all performed better than the others. For hybrid deep sentiment analysis learning models, LSTM networks, CNNs, and SVMs are needed. Hybrid models are used to compare SVM, LSTM, and CNN, and we tested each method's accuracy and errors. Deep learning-SVM hybrid models improve sentiment analysis accuracy. Experimental results have shown the accuracy of the proposed model shown 91.3 percent and 91.5 percent for datasets type 1 and 8, respectively.
MeSH term(s)	Algorithms ; Humans ; Neural Networks, Computer ; Sentiment Analysis ; Social Media ; Support Vector Machine
Language	English
Publishing date	2022-07-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/6595799
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Article ; Online: A modified angled plate for fixation of proximal femoral varus osteotomy in neuromuscular hip dislocation: Mechanical and clinical study.

Abuomira, Ibrahim El Sayed Abdellatif / El-Alfy, Barakat / Seddik, Mahmoud / Mohammed Ahmed, Khamis / Khashaba, Ahmed Sayed / Al-Kot, Amer

Orthopaedics & traumatology, surgery & research : OTSR

2023 Volume 110, Issue 3, Page(s) 103674

Abstract: Introduction: Proximal femoral osteotomy is an important step in the management of paralytic hip dislocation. Fixation by the angled plate is demanding and carries the risk of many complications. In this study, we made certain modifications for the ... ...

Abstract	Introduction: Proximal femoral osteotomy is an important step in the management of paralytic hip dislocation. Fixation by the angled plate is demanding and carries the risk of many complications. In this study, we made certain modifications for the angled plate. Does this plate provide a stable fixation for proximal femoral varus osteotomy? The main objective of this study was to assess the results of the modified plate in fixation of proximal femoral varus osteotomy in patients with neuromuscular hip dislocation. Hypothesis: This new system would offer significant advantages over the existing systems in terms of easy application and stable fixation. Material and methods: Twenty patients with paralytic hip dislocation were included in this study. The ages ranged from 5 to 15 years with a mean of 8.88±2.92 years. There were 12 boys and 8 girls. Seventeen patients had cerebral palsy and 3 had meningocele disease. Preoperative radiographs were done, and the migration percentage (MP), acetabular index (AI), and neck-shaft angle (NSA) were measured. All patients were treated with open reduction, pelvic osteotomy, and proximal femoral varus osteotomy. The femoral osteotomy was fixed by the modified angled plate in all cases. Results: The osteotomy sites united in all patients and the mean time of union was 2.9±0.65 months. The acetabular index, migration percentage, and neck-shaft angle were reduced postoperatively. This reduction was statistically significant. The hips remained stable throughout the period of follow-up in all patients. No cases were complicated by non-union or implant failure. Conclusion: The modified angled plate (canulated interlocking blade Plate 90°) is a good method for the fixation of proximal femoral varus osteotomy in the management of neuromuscular hip dislocation. It provides a stable fixation. Level of evidence: IV; case series.
MeSH term(s)	Humans ; Male ; Female ; Osteotomy/methods ; Bone Plates ; Child ; Adolescent ; Hip Dislocation/surgery ; Child, Preschool ; Femur/surgery ; Treatment Outcome ; Neuromuscular Diseases/surgery ; Neuromuscular Diseases/complications ; Follow-Up Studies
Language	English
Publishing date	2023-09-04
Publishing country	France
Document type	Journal Article
ISSN	1877-0568
ISSN (online)	1877-0568
DOI	10.1016/j.otsr.2023.103674
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Article: SARS-CoV-2 and

Iesa, M A M / Osman, M E M / Hassan, M A / Dirar, A I A / Abuzeid, N / Mancuso, J J / Pandey, R / Mohammed, A A / Borad, M J / Babiker, H M / Konozy, E H E

New microbes and new infections

2020 Volume 38, Page(s) 100817

Abstract: Coronavirus disease 2019 (COVID-19) has caused significant morbidity and mortality and new cases are on the rise globally, yet malaria-endemic areas report statistically significant lower incidences. We identified potential shared targets for an immune ... ...

Abstract	Coronavirus disease 2019 (COVID-19) has caused significant morbidity and mortality and new cases are on the rise globally, yet malaria-endemic areas report statistically significant lower incidences. We identified potential shared targets for an immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by immune determinants' shared identities with
Language	English
Publishing date	2020-11-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2750179-6
ISSN	2052-2975
ISSN	2052-2975
DOI	10.1016/j.nmni.2020.100817
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Article: Relative risk factors for seropositive hepatitis E virus among blood donors and haemodialysis patients: The pivotal role of primary health care education.

Babiker, Nassir A / Abakar, Adam D / Mohamed, Nawal T / Abuzeid, Nadir / Modawe, GadAllah / Iesa, Mohamed A / Assil, Sami / Osman, Hisham / Hamed, Mohamed / Ahmed, Mohamed H

Journal of family medicine and primary care

2021 Volume 10, Issue 7, Page(s) 2655–2660

Abstract: Background: Hepatitis E virus is a zoonotic virus with a worldwide epidemic outbreak. The aim of the study was to identify relative risk factors and co-infections concerning the seropositive HEV IgG among blood donors and haemodialysis (HD) patients in ... ...

Abstract	Background: Hepatitis E virus is a zoonotic virus with a worldwide epidemic outbreak. The aim of the study was to identify relative risk factors and co-infections concerning the seropositive HEV IgG among blood donors and haemodialysis (HD) patients in the central blood bank and renal dialysis centre in Wad Medani city, Gezira State, Sudan. Materials and methods: This was a cross-sectional study that included 600 participants, among them 180 showed strong seropositive HEV IgG. The structured questionnaire was used to collect data of the participants' demographics, disease risk factors and HEV IgG co-infections with HBV, HCV, HIV and syphilis. Results: Among the 180 strong seropositive HEV IgG respondents, 84 were blood donors and 96 were haemodialysis patients. The gender and age (18-30 years) had a significant association with the virus exposure ( Conclusion: The relative risk factors of the HEV seroprevalence were gender, age, locality and animal contact. Besides the need of a regular survey for the virus seroprevalence, primary health care physicians can play pivotal role in health education, especially in rural areas of Sudan. In addition, primary health care physicians in Sudan are expected to establish strategies and plans to eradicate and minimise the health impact of HEV.
Language	English
Publishing date	2021-07-30
Publishing country	India
Document type	Journal Article
ZDB-ID	2735275-4
ISSN	2278-7135 ; 2249-4863
ISSN (online)	2278-7135
ISSN	2249-4863
DOI	10.4103/jfmpc.jfmpc_2441_20
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Article ; Online: Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model

Mohammed Hasan Ali Al-Abyadh / Mohamed A. M. Iesa / Hani Abdel Hafeez Abdel Azeem / Devesh Pratap Singh / Pardeep Kumar / Mohamed Abdulamir / Asadullah Jalali

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract	Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependability of numerous hybrid approaches on a variety of datasets. Across domains and datasets, we compare hybrid models to singles. Text tweets and reviews are included in our deep sentiment analysis learning systems. The support vector machine (SVM), Long Short-Term Memory (LSTM), and ghost model convolution neural network (CNN) are combined to get the hybrid model. The dependability and computation time of each approach were evaluated. On all datasets, hybrid models outperform single models when deep learning and SVM are combined. The traditional models were less trustworthy, and deep learning algorithms have recently shown their enormous promise in sentiment analysis. Linear transformations are used in feature maps to eliminate duplicate or related features. The ghost unit makes ghost features by taking away attributes that are both similar and duplicated from each intrinsic feature. LSTM produces higher results but takes longer to process, while CNN needs less hyperparameter adjusting and monitoring. The effectiveness of the integrated model varies depending on the work, and all performed better than the others. For hybrid deep sentiment analysis learning models, LSTM networks, CNNs, and SVMs are needed. Hybrid models are used to compare SVM, LSTM, and CNN, and we tested each method’s accuracy and errors. Deep learning-SVM hybrid models improve sentiment analysis accuracy. Experimental results have shown the accuracy of the proposed model shown 91.3 percent and 91.5 percent for datasets type 1 and 8, respectively.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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