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Article ; Online: Allele mining in prolactin receptor gene and its association with some economic traits in Egyptian goat breeds.

Nowier, Amira M / Darwish, Hassan R / Ramadan, Sherif I / Othman, Othman E

2023 Volume 34, Issue 9, Page(s) 5028–5036

Abstract: The objectives of the current study were to identify polymorphism in the prolactin receptor (PRLR) gene among three Egyptian goat breeds (Zaraibi, Damascus, and Barki) and to investigate the association between PRLR genotype, parity, season of kidding, ... ...

Abstract	The objectives of the current study were to identify polymorphism in the prolactin receptor (PRLR) gene among three Egyptian goat breeds (Zaraibi, Damascus, and Barki) and to investigate the association between PRLR genotype, parity, season of kidding, and litter size factors with milk yield and reproductive traits of Zaraibi goats. One hundred and ninety blood samples were collected for DNA extraction, with 110 from Zaraibi, 40 from Barki, and 40 from Damascus breeds. Three genotypes, CC, CT and TT, for the prolactin receptor gene were identified in the 190 DNA samples using restriction fragment length polymorphism and were confirmed by direct sequencing technique. Milk yield during suckling and lactation periods in addition to age at first conception, gestation length, and litter size were determined in 110 Zaraibi goats. The Zaraibi goats recorded the highest heterozygosity (0.495) and the effective number of alleles (1.972). The g.62130C > T SNP showed a significant association (
MeSH term(s)	Pregnancy ; Female ; Animals ; Receptors, Prolactin/genetics ; Alleles ; Prolactin/genetics ; Goats/genetics ; Egypt ; Milk ; DNA
Chemical Substances	Receptors, Prolactin ; Prolactin (9002-62-4) ; DNA (9007-49-2)
Language	English
Publishing date	2023-07-06
Publishing country	England
Document type	Journal Article
ZDB-ID	2043243-4
ISSN	1532-2378 ; 1049-5398
ISSN (online)	1532-2378
ISSN	1049-5398
DOI	10.1080/10495398.2023.2223237
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Article ; Online: To What Extent the Arabic WeeFIM Is Reliable and Feasible in Egyptian Children With Burns? An Observational Cross-sectional Study.

Mohamed Othman, Eman / Aly, Doaa A

Journal of burn care & research : official publication of the American Burn Association

2022 Volume 44, Issue 3, Page(s) 590–598

Abstract: This is an observational cross-sectional study design aimed to assess the feasibility and reliability of the Arabic version of WeeFIM in Egyptian children with healed burns with two measurements within a 2-week time period in a sample of 53 patients with ...

Abstract	This is an observational cross-sectional study design aimed to assess the feasibility and reliability of the Arabic version of WeeFIM in Egyptian children with healed burns with two measurements within a 2-week time period in a sample of 53 patients with healed burns who were aged 3 to 16 years and treated in the outpatient burn clinic, Faculty of Physical Therapy, Cairo University, and Om Elmisryeen Hospital. All patients who met the inclusive criteria were enrolled in the study. The adaptation of the Arabic WeeFIM instrument to an interview format suitable for burned children with communicative and/or cognitive problems and evaluation of its feasibility and reliability. The reliability was assessed by a test-retest procedure. Feasibility was evaluated by the assessment of the frequency of missing answers per item and administration time. The Arabic Index of Content Validity (was used for content validity assessment. The Arabic version of WeeFIM has borderline reliability (Cronbach's Alpha = 0.619 and Pearson correlation coefficient: r = 0.986). There was an acceptable percent to have a feasible test as 83.963% of the filled questionnaires had no missing answers and the mean of administration time was 7.4 and 5.5 for first and second assessments, respectively. The Index of Content Validity of adapted WeeFIM items showed that all the questions were relevant except for two questions only. The Arabic version of WeeFIM has high test-retest reliability, moderate internal consistency, and excellent feasibility in measuring and reporting the functional independence and burden of care for children with healed burns.
MeSH term(s)	Humans ; Child ; Cross-Sectional Studies ; Reproducibility of Results ; Egypt ; Burns/therapy ; Surveys and Questionnaires ; Psychometrics
Language	English
Publishing date	2022-07-05
Publishing country	England
Document type	Observational Study ; Journal Article
ZDB-ID	2224246-6
ISSN	1559-0488 ; 1559-047X
ISSN (online)	1559-0488
ISSN	1559-047X
DOI	10.1093/jbcr/irac094
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Zs.A 6223: Show issues

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Article: Parotid Gland Solitary Fibrous Tumor Presenting as a Long Duration Mass: A Case Report.

Abdulhaleem, Khadijah / Dababo, Mohammad Anas / Othman, Eyas

Case reports in pathology

2022 Volume 2022, Page(s) 2097634

Abstract: The solitary fibrous tumor (SFT) is a tumor of uncertain histogenesis, affecting deep soft tissues, particularly the pleura (pulmonary) and extrapulmonary sites including thighs, retroperitoneum, other serosal surfaces, and cranial and spinal meninges. ... ...

Abstract	The solitary fibrous tumor (SFT) is a tumor of uncertain histogenesis, affecting deep soft tissues, particularly the pleura (pulmonary) and extrapulmonary sites including thighs, retroperitoneum, other serosal surfaces, and cranial and spinal meninges. SFT and hemangiopericytoma are now considered the same entity, with general agreement on referring to this group of tumors as "SFT." SFTs are generally benign tumors with small subsets of malignant ones. Moreover, they are well-circumscribed with a good prognosis after surgical resection. SFTs are uncommon in the head and neck and are quite rare in the parotid gland region. Here, we present a case of a 48-year-old female with SFT of the parotid gland region; the diagnosis was confirmed by positive immunohistochemical staining for Bcl-2, CD34, and STAT6. STAT6 immunohistochemistry is sensitive and specific for SFTs.
Language	English
Publishing date	2022-02-24
Publishing country	United States
Document type	Case Reports
ZDB-ID	2648758-5
ISSN	2090-679X ; 2090-6781
ISSN (online)	2090-679X
ISSN	2090-6781
DOI	10.1155/2022/2097634
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Article ; Online: Efficacy of intratracheal dexmedetomidine on recovery from general anaesthesia in paediatric patients undergoing lower abdominal surgeries: A randomised controlled trial.

Abdel Rady, Marwa Mahmoud / Ali, Wesam Nashat / Mansour, Fatma Batity / Abdullah Othman, Ekram / Abo Elfadl, Ghada Mohammad

Journal of perioperative practice

2024 , Page(s) 17504589241231197

Abstract: Background: This study investigated the effectiveness of intratracheal dexmedetomidine in reducing untoward laryngeal responses in paediatrics undergoing lower abdominal surgeries.: Methods: This trial included 60 patients divided into two groups ... ...

Abstract	Background: This study investigated the effectiveness of intratracheal dexmedetomidine in reducing untoward laryngeal responses in paediatrics undergoing lower abdominal surgeries. Methods: This trial included 60 patients divided into two groups scheduled for lower abdominal surgeries. Group D were given intratracheal dexmedetomidine at a dosage of 0.5mg/kg, while Group C received intratracheal saline (0.9%). The cough severity score, the Paediatric Objective Pain Scale for pain assessment, awareness, extubation, emergence agitation score, Ramsay sedation score and adverse effects were recorded. Results: There was a significant difference in the incidence of coughing severity between Groups D and C both at extubation and after five minutes of extubation (p < 0.001). The median scores of the Paediatric Objective Pain Scales and the median agitation scales of Group D were significantly lower over the first four hours (p < 0.050). The mean time to first request rescue analgesia was significantly longer in the D group than in the control group (p < 0.001). The mean total consumption of rescue analgesia in the first 24 hours postoperatively was significantly lower in the dexmedetomidine group (p < 0.050). Awareness and extubation times were comparable in both groups, and none of the subjects reported any adverse effects. Conclusion: In the current study, lower abdominal surgery patients who received intratracheal dexmedetomidine at a dose of 0.5mg/kg 30 minutes before the completion of the procedure experienced smooth extubation and balanced anaesthetic recovery.
Language	English
Publishing date	2024-04-03
Publishing country	England
Document type	Journal Article
ZDB-ID	2226186-2
ISSN	2515-7949 ; 1750-4589
ISSN (online)	2515-7949
ISSN	1750-4589
DOI	10.1177/17504589241231197
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Zs.A 4006: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article: Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database.

Othman, Ehsan / Werner, Philipp / Saxen, Frerk / Al-Hamadi, Ayoub / Gruss, Sascha / Walter, Steffen

Life (Basel, Switzerland)

2023 Volume 13, Issue 9

Abstract: This study focuses on improving healthcare quality by introducing an automated system that continuously monitors patient pain intensity. The system analyzes the Electrodermal Activity (EDA) sensor modality modality, compares the results obtained from ... ...

Abstract	This study focuses on improving healthcare quality by introducing an automated system that continuously monitors patient pain intensity. The system analyzes the Electrodermal Activity (EDA) sensor modality modality, compares the results obtained from both EDA and facial expressions modalities, and late fuses EDA and facial expressions modalities. This work extends our previous studies of pain intensity monitoring via an expanded analysis of the two informative methods. The EDA sensor modality and facial expression analysis play a prominent role in pain recognition; the extracted features reflect the patient's responses to different pain levels. Three different approaches were applied: Random Forest (RF) baseline methods, Long-Short Term Memory Network (LSTM), and LSTM with the sample-weighting method (LSTM-SW). Evaluation metrics included Micro average F1-score for classification and Mean Squared Error (MSE) and intraclass correlation coefficient (ICC [3, 1]) for both classification and regression. The results highlight the effectiveness of late fusion for EDA and facial expressions, particularly in almost balanced datasets (Micro average F1-score around 61%, ICC about 0.35). EDA regression models, particularly LSTM and LSTM-SW, showed superiority in imbalanced datasets and outperformed guessing (where the majority of votes indicate no pain) and baseline methods (RF indicates Random Forest classifier (RFc) and Random Forest regression (RFr)). In conclusion, by integrating both modalities or utilizing EDA, they can provide medical centers with reliable and valuable insights into patients' pain experiences and responses.
Language	English
Publishing date	2023-08-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662250-6
ISSN	2075-1729
ISSN	2075-1729
DOI	10.3390/life13091828
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Article ; Online: Effect of ultrasound-enhanced bee venom on selected post inguinal hernioplasty complications: a single-blind randomized controlled trial.

Othman, E M / Abdelbasset, W K / Elsayed, S H / Hussein, R S / Mohamady, H M

European review for medical and pharmacological sciences

2023 Volume 27, Issue 2, Page(s) 483–492

Abstract: Objective: Bee venom (BV) phonophoresis has been recommended as a non-invasive treatment for a variety of inflammatory conditions and for reducing post-operative pain. This study aimed at evaluating the impact of bee venom phonophoresis around incisions ...

Abstract	Objective: Bee venom (BV) phonophoresis has been recommended as a non-invasive treatment for a variety of inflammatory conditions and for reducing post-operative pain. This study aimed at evaluating the impact of bee venom phonophoresis around incisions and on selected acupuncture points for the treatment of pain, inflammation, and mobility of the hip following inguinal hernioplasty. Patients and methods: Sixty-six male patients who had acute pain and decreased mobility of the hip after having an indirect unilateral inguinal hernioplasty with a mesh participated in this study. Patients were randomly assigned into two equal groups of 33. The bee venom phonophoresis group (Group A) received low-intensity pulsed ultrasound using BV gel, and the control group (Group B) received low-intensity pulsed ultrasound using only plain gel without BV gel. Both groups received the same regular medical care and 5 minutes of therapy each, three times a week, for three weeks postoperative. The visual analogue scale (VAS), serum C-reactive protein (CRP), and hip ROM measurements were used to assess the acute pain, inflammation, and ROM pre-application (pre-treatment) and post-3 weeks of treatment (post-treatment) for both groups. Results: The findings have exhibited an extremely significant difference in VAS, CRP, and hip ROM measurements in the BV phonophoresis group compared to that of the control group (p < 0.05). Conclusions: BV delivered by phonophoresis around incisions and on selected acupuncture points has a beneficial effect in the treatment of pain, inflammation, and mobility of the hip following inguinal hernioplasty with mesh.
MeSH term(s)	Male ; Humans ; Bee Venoms ; Acute Pain ; Single-Blind Method ; Herniorrhaphy ; Treatment Outcome ; Inflammation ; Hernia, Inguinal/surgery
Chemical Substances	Bee Venoms
Language	English
Publishing date	2023-02-03
Publishing country	Italy
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	605550-3
ISSN	2284-0729 ; 1128-3602 ; 0392-291X
ISSN (online)	2284-0729
ISSN	1128-3602 ; 0392-291X
DOI	10.26355/eurrev_202301_31048
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Zs.A 1887: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.

Awassa, Lamia / Jdey, Imen / Dhahri, Habib / Hcini, Ghazala / Mahmood, Awais / Othman, Esam / Haneef, Muhammad

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 5

Abstract: COVID-19 has evolved into one of the most severe and acute illnesses. The number of deaths continues to climb despite the development of vaccines and new strains of the virus have appeared. The early and precise recognition of COVID-19 are key in viably ... ...

Abstract	COVID-19 has evolved into one of the most severe and acute illnesses. The number of deaths continues to climb despite the development of vaccines and new strains of the virus have appeared. The early and precise recognition of COVID-19 are key in viably treating patients and containing the pandemic on the whole. Deep learning technology has been shown to be a significant tool in diagnosing COVID-19 and in assisting radiologists to detect anomalies and numerous diseases during this epidemic. This research seeks to provide an overview of novel deep learning-based applications for medical imaging modalities, computer tomography (CT) and chest X-rays (CXR), for the detection and classification COVID-19. First, we give an overview of the taxonomy of medical imaging and present a summary of types of deep learning (DL) methods. Then, utilizing deep learning techniques, we present an overview of systems created for COVID-19 detection and classification. We also give a rundown of the most well-known databases used to train these networks. Finally, we explore the challenges of using deep learning algorithms to detect COVID-19, as well as future research prospects in this field.
MeSH term(s)	Algorithms ; COVID-19/diagnosis ; Deep Learning ; Humans ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2022-02-28
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22051890
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Article ; Online: Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models.

Othman, Esam / Mahmoud, Muhammad / Dhahri, Habib / Abdulkader, Hatem / Mahmood, Awais / Ibrahim, Mina

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 14

Abstract: Liver cancer is a life-threatening illness and one of the fastest-growing cancer types in the world. Consequently, the early detection of liver cancer leads to lower mortality rates. This work aims to build a model that will help clinicians determine the ...

Abstract	Liver cancer is a life-threatening illness and one of the fastest-growing cancer types in the world. Consequently, the early detection of liver cancer leads to lower mortality rates. This work aims to build a model that will help clinicians determine the type of tumor when it occurs within the liver region by analyzing images of tissue taken from a biopsy of this tumor. Working within this stage requires effort, time, and accumulated experience that must be possessed by a tissue expert to determine whether this tumor is malignant and needs treatment. Thus, a histology expert can make use of this model to obtain an initial diagnosis. This study aims to propose a deep learning model using convolutional neural networks (CNNs), which are able to transfer knowledge from pre-trained global models and decant this knowledge into a single model to help diagnose liver tumors from CT scans. Thus, we obtained a hybrid model capable of detecting CT images of a biopsy of a liver tumor. The best results that we obtained within this research reached an accuracy of 0.995, a precision value of 0.864, and a recall value of 0.979, which are higher than those obtained using other models. It is worth noting that this model was tested on a limited set of data and gave good detection results. This model can be used as an aid to support the decisions of specialists in this field and save their efforts. In addition, it saves the effort and time incurred by the treatment of this type of cancer by specialists, especially during periodic examination campaigns every year.
MeSH term(s)	Humans ; Liver Neoplasms/diagnostic imaging ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2022-07-20
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/s22145429
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Article ; Online: An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality.

Othman, Ehsan / Werner, Philipp / Saxen, Frerk / Fiedler, Marc-André / Al-Hamadi, Ayoub

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 13

Abstract: Pain is a reliable indicator of health issues; it affects patients' quality of life when not well managed. The current methods in the clinical application undergo biases and errors; moreover, such methods do not facilitate continuous pain monitoring. For ...

Abstract	Pain is a reliable indicator of health issues; it affects patients' quality of life when not well managed. The current methods in the clinical application undergo biases and errors; moreover, such methods do not facilitate continuous pain monitoring. For this purpose, the recent methodologies in automatic pain assessment were introduced, which demonstrated the possibility for objectively and robustly measuring and monitoring pain when using behavioral cues and physiological signals. This paper focuses on introducing a reliable automatic system for continuous monitoring of pain intensity by analyzing behavioral cues, such as facial expressions and audio, and physiological signals, such as electrocardiogram (ECG), electromyogram (EMG), and electrodermal activity (EDA) from the X-ITE Pain Dataset. Several experiments were conducted with 11 datasets regarding classification and regression; these datasets were obtained from the database to reduce the impact of the imbalanced database problem. With each single modality (Uni-modality) experiment, we used a Random Forest [RF] baseline method, a Long Short-Term Memory (LSTM) method, and a LSTM using a sample weighting method (called LSTM-SW). Further, LSTM and LSTM-SW were used with fused modalities (two modalities = Bi-modality and all modalities = Multi-modality) experiments. Sample weighting was used to downweight misclassified samples during training to improve the performance. The experiments' results confirmed that regression is better than classification with imbalanced datasets, EDA is the best single modality, and fused modalities improved the performance significantly over the single modality in 10 out of 11 datasets.
MeSH term(s)	Electrocardiography ; Humans ; Neural Networks, Computer ; Pain ; Pain Measurement/methods ; Quality of Life
Language	English
Publishing date	2022-07-01
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/s22134992
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Article ; Online: 3-Arylidene-2-oxindoles as GSK3β inhibitors and anti-thrombotic agents.

Babkov, Denis / Bezsonova, Elena / Sirotenko, Viktor / Othman, Elias / Klochkov, Vladlen / Sosonyuk, Sergey / Lozinskaya, Natalia / Spasov, Alexander

Bioorganic & medicinal chemistry letters

2023 Volume 87, Page(s) 129283

Abstract: Development of novel agents that prevent thrombotic events is an urgent task considering increasing incidence of cardiovascular diseases and coagulopathies that accompany cancer and COVID-19. Enzymatic assay identified novel GSK3β inhibitors in a series ... ...

Abstract	Development of novel agents that prevent thrombotic events is an urgent task considering increasing incidence of cardiovascular diseases and coagulopathies that accompany cancer and COVID-19. Enzymatic assay identified novel GSK3β inhibitors in a series of 3-arylidene-2-oxindole derivatives. Considering the putative role of GSK3β in platelet activation, the most active compounds were evaluated for antiplatelet activity and antithrombotic activity. It was found that GSK3β inhibition by 2-oxindoles correlates with inhibition of platelet activation only for compounds 1b and 5a. Albeit, in vitro antiplatelet activity matched well with in vivo anti-thrombosis activity. The most active GSK3β inhibitor 5a exceeds antiplatelet activity of acetylsalicylic acid in vitro by 10.3 times and antithrombotic activity in vivo by 18.7 times (ED
MeSH term(s)	Humans ; Platelet Aggregation Inhibitors/pharmacology ; Platelet Aggregation Inhibitors/therapeutic use ; Oxindoles/pharmacology ; Fibrinolytic Agents/pharmacology ; Fibrinolytic Agents/therapeutic use ; Glycogen Synthase Kinase 3 beta ; COVID-19 ; Thrombosis/drug therapy ; Thrombosis/prevention & control ; Platelet Aggregation
Chemical Substances	Platelet Aggregation Inhibitors ; 2-oxindole (0S9338U62H) ; Oxindoles ; Fibrinolytic Agents ; Glycogen Synthase Kinase 3 beta (EC 2.7.11.1)
Language	English
Publishing date	2023-04-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1063195-1
ISSN	1464-3405 ; 0960-894X
ISSN (online)	1464-3405
ISSN	0960-894X
DOI	10.1016/j.bmcl.2023.129283
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