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Open Journal of Anesthesiology 2023年第10期13卷 197-211页

作者： Shereen Mamdouh Kamal Khaled Mohamed Fares Sahar Abdel-Baky Mohamed Mohanad Ahmed Mohamed fatma adel el sherif Anaesthesia Intensive Care and Pain Management Department South Egypt Cancer Institute Assiut University Assiut Egypt

Background: Transcranial direct current stimulation (tDCS) across cortical brain areas appears to improve various forms of pain, yet evidence of tDCS efficiency and ideal stimulation target is lacking. This study aimed to compare the add-on analgesic efficacy of concentric electrode transcranial direct current stimulation (CE-tDCS) stimulation over the primary motor cortex versus the insular cortex on the management of chronic postmastectomy pain. Method: Prospective randomized double-blind sham-controlled study enrolled eighty patients with chronic postmastectomy pain that were randomly assigned to four groups: active motor (AM), sham motor (SM), active insula (AI) and sham insula (SI) group, each received 5 sessions for 20-minute duration with 2 mA tDCS over the targeted area of the contralateral side of pain. Our primary outcome was VAS score, the secondary outcomes were VDS score, LANSS score and depression symptoms by HAM-D scores, assessment was done at 4 time points (prestimulation, after 5th session, 15th day and one month after the last session). Results: Both active tDCS groups (motor and insula) showed reduction of VAS (P Conclusion: Active tDCS stimulation either targeting the primary motor cortex or the insula cortex has add-on analgesic effect for controlling neuropathic chronic post mastectomy pain and the maximum effect was at 15 days after the last session.

关键词： Transcranial Direct Current Stimulation tDCS Postmastectomy Pain Motor Cortex Insular Cortex

Glycated Hemoglobin HbA1c:Permittivity Experimental Applications with Some Mathematical Concepts,Temperature and Frequency Variations

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Journal of Renewable Materials 2022年第9期10卷 2335-2354页

作者： Soliman Abdalla sherif Kandil Waleed el-Shirbeeny fatma Bahabri Department of Physics Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Materials Science Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt Department of Physics Faculty of ScienceJeddah UniversityJeddahSaudi Arabia

Diabetes disorder turns smoothly to be a global epidemic disorder and the glycated hemoglobin(HbA1c)starts to be an efficient marker of *** dielectric spectroscopy on different human normal-and diabetic-blood samples is used to characterize and to estimate the HbA1c concentration.“dc-”and ac-measurement of the complex conductivity in the temperature range from 280 K up to 320 K,and in the frequency range from one Hz up to 32 MHz have been *** thermal activation energy,ΔEσ,of dc-electric conductivity lies in the range 95 meVelaxation time is aboutΔEτ=140 *** experimental data have been modeled by a physical-model and good fittings have been found between calculated and experimental *** effective number of charges,nG,T,is estimated after Cole and Cole *** has found that nG,T increases with both temperature,T,and with the glycation rate *** increase may shed some light on an effective and possible way to treat(and to detect)diabetes disorders via eliminating the excess electric charges produced by glycation *** present work sheds the light on the possible combination of focused ultrasound with magnetic resonance imaging to study the dielectric-thermal variations of glycated-RBCs,which can lead to very precise and non-invasive monitoring of glycation concentration in vivo and in vitro via magnetic resonance-thermometry.

关键词： Glycated-hemoglobin rate thermal characterization red blood cells RBCs relaxation of RBCs dielectric constant mathematical model

Data Augmentation and Random Multi-Model Deep Learning for Data Classification

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Computers, Materials & Continua 2023年第3期74卷 5191-5207页

作者： fatma Harby adel Thaljaoui Durre Nayab Suliman Aladhadh Salim el Khediri Rehan Ullah Khan Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesEgypt Department of Computer Systems Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawar25120Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Sciences Faculty of Sciences of GafsaUniversity of GafsaGafsaTunisia

In the machine learning(ML)paradigm,data augmentation serves as a regularization approach for creating ML *** increase in the diversification of training samples increases the generalization capabilities,which enhances the prediction performance of classifiers when tested on unseen *** learning(DL)models have a lot of parameters,and they frequently ***,to avoid overfitting,data plays a major role to augment the latest improvements in ***,reliable data collection is a major limiting ***,this problem is undertaken by combining augmentation of data,transfer learning,dropout,and methods of normalization in *** this paper,we introduce the application of data augmentation in the field of image classification using Random Multi-model Deep Learning(RMDL)which uses the association approaches of multi-DL to yield random models for *** present a methodology for using Generative Adversarial Networks(GANs)to generate images for data *** experiments,we discover that samples generated by GANs when fed into RMDL improve both accuracy and model *** across both MNIST and CIAFAR-10 datasets show that,error rate with proposed approach has been decreased with different random models.

关键词： Data augmentation generative adversarial networks classification machine learning random multi-model deep learning

Gauss Gradient and SURF Features for Landmine Detection from GPR Images

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Computers, Materials & Continua 2022年第6期71卷 4457-4486页

作者： fatma M.el-Ghamry Walid el-Shafai Mahmouad I.Abdalla Ghada M.el-Banby Abeer D.Algarni Moawad I.Dessouky adel S.elfishawy Fathi E.Abd el-Samie Naglaa F.Soliman Department of electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia44519Egypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia

Recently,ground-penetrating radar(GPR)has been extended as a well-known area to investigate the subsurface ***,its output has a low resolution,and it needs more processing for more *** paper presents two algorithms for landmine detection from GPR *** first algorithm depends on a multi-scale technique.A Gaussian kernel with a particular scale is convolved with the image,and after that,two gradients are estimated;horizontal and vertical ***,histogram and cumulative histogram are estimated for the overall gradient *** bin values on the cumulative histogram are used for discrimination between images with and without ***,a neural classifier is used to classify images with cumulative histograms as feature *** second algorithm is based on scale-space analysis with the number of speeded-up robust feature(SURF)points as the key parameter for *** addition,this paper presents a framework for size reduction of GPR images based on decimation for efficient *** further classification steps can be performed on images after *** sensitivity of classification accuracy to the interpolation process is studied in detail.

关键词： GPR images cumulative histogram gradient image neural classifier SURF

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning

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Computer Systems Science & Engineering 2023年第11期47卷 1507-1525页

作者： Esraa Hassan fatma M.Talaat Samah adel Samir Abdelrazek Ahsan Aziz Yunyoung Nam Nora el-Rashidy Machine Learning and Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt electronics and Communication Engineering Department Faculty of Engineering Horus UniversityDamiettaEgypt Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of ICT Convergence Soonchunhyang UniversityAsanKorea

Black fungus is a rare and dangerous mycology that usually affects the brain and lungs and could be life-threatening in diabetic ***,some COVID-19 survivors,especially those with co-morbid diseases,have been susceptible to black ***,recovered COVID-19 patients should seek medical support when they notice mucormycosis *** paper proposes a novel ensemble deep-learning model that includes three pre-trained models:reset(50),VGG(19),and *** approach is medically intuitive and efficient compared to the traditional deep learning *** image dataset was aggregated from various resources and divided into two classes:a black fungus class and a skin infection *** the best of our knowledge,our study is the first that is concerned with building black fungus detection models based on deep learning *** proposed approach can significantly improve the performance of the classification task and increase the generalization ability of such a binary classification *** to the reported results,it has empirically achieved a sensitivity value of 0.9907,a specificity value of 0.9938,a precision value of 0.9938,and a negative predictive value of 0.9907.

关键词： Black fungus COVID-19 Transfer learning pre-trained models medical image

Inter-Observer Reliability of Fused Time-of-Flight MR Angiography and 3D Steady State Sequence versus 3D Contrast Enhanced Images in Evaluation of Neurovascular Compression

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Open Journal of Modern Neurosurgery 2022年第2期12卷 86-96页

作者： Mohamed Mahmoud elsherbini Ali Hassan elmokadem Ahmed el-Morsy fatma Mohamed sherif Amr Farid Khalil Department of Neurosurgery Mansoura University Mansoura Egypt Department of Radiology Mansoura University Mansoura Egypt Department of Radiology Farwaniya Hospital Kuwait City Kuwait

Purpose: Is to evaluate the accuracy of fused 3D time-of-flight (TOF) MR angiography and 3D Steady-State sequence (FIESTA) versus 3D contrast-enhanced T1 weighted images in evaluation of neurovascular compression via an inter-observer agreement protocol. Methods: Patients presented with trigeminal neuralgia, tinnitus, or facial hemispasm were examined using 3D-TOF-MRA, 3D-FIESTA, and 3D contrast-enhanced T1WI of the cerebellopontine angle to assess neurovascular compression. Two independent readers assessed the location, signal alteration, offending vascular structure, and grade of neurovascular compression using fused 3D-TOF-MRA and 3D-FIESTA versus contrast-enhanced T1 weighted images. The Kappa test for interobserver agreement was done. Results: The final study cohort consisted of 56 patients (42 females and 14 males) with a mean age of 38.25 ± 1.94. AICA was the offending vessel for 32 (57.1%) patients. The most common offending nerve was the trigeminal nerve in 26 patients, followed by facial/vestibulocochlear complex in 18 patients, and solely the 8th nerve in 12 patients. All three grades of compression were encountered in this study with percentages of 48.2% (27/56), 30.3% (17/56), and 21.4% (12/56) for grades I, II, III respectively. Fused TOF and steady-state images, and contrast-enhanced images showed perfect agreement for detection of the side of compression, the relation between nerve and vascular loop, offended neural segment, and offending vessel, while showing good agreement regarding the degree of compression. Conclusion: Fused TOF and steady-state images provide sufficient data to diagnose and grade microvascular compression syndromes comparable to contrast-enhanced images.

关键词： Neurovascular Compression Trigeminal Neuralgia Microvascular Decompression Tinnitus Vertigo Hemifacial Spasm

Effect of Ketamine Instillation on Acute and Chronic Post Mastectomy Pain, a Dose Finding Clinical Study

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Open Journal of Anesthesiology 2022年第4期12卷 146-159页

作者： fatma el sherif Hany elmorabaa Khaled Mohamed Fares Sahar Abdel-Baky Mohamed Nourhan M. elgalaly Khalid Rezk Moaaz Tohamy Department of Anesthesia ICU and Pain Management South Egypt Cancer Institute Assiut University Assiut Egypt Department of Anesthesia ICU and Pain Management Faculty of Medicine Assuit University Assiut Egypt

Background: Uncontrolled acute postoperative pain is considered a risk factor for the development of chronic pain afterward. Objectives: To explore the most effective dose of ketamine instillation (1 of 3 doses: 1, 2, or 3 mg/kg) for acute and chronic post mastectomy pain (PMP). Methods: Ninety female patients with cancer breast, aged (18 - 60 yrs), weighted (50 - 90 kg), scheduled for modified radical mastectomy, randomly allocated into 3 groups to receive ketamine instillation after surgical homeostasis before wound closure (1 of 3 doses;1, 2, or 3 mg/kg as A, B or C groups respectively) patients were followed up for 48 h for acute pain (total morphine consumption, the first request of analgesia and visual analog scale at rest and movement (VASR/M), chronic pain by Leeds assessment of neuropathic signs and symptoms (LANSS) for six-months, hemodynamics, and side effects. Results: Median total dose of morphine consumption was 8 mg (5 - 10) versus 6 mg (6 - 7) in A and B groups respectively in the first 48 h postoperatively. Lowest VASR/M was recorded in C then B and lastly A group (P = 0.037). No patients in the C group requested analgesia versus thirty (100%) and nine (30%) patients in the A and B groups respectively with the first request of analgesia was 12 h (5 - 36) in the A group versus 30 h (12 - 36) in the B group respectively (P Conclusion: Ketamine instillation effectively controlled acute post mastectomy pain (PMP) in a dose-dependent manner and reduced the incidence and severity of chronic pain in patients who undergoing a modified radical mastectomy.

关键词： Acute Pain Breast Cancer Chronic Pain Ketamine Instillation Modified Radical Mastectomy

Genetic Analysis of Familial Mediterranean Fever among Egyptian Patients

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Open Journal of Immunology 2022年第4期12卷 137-147页

作者： Marwa A. Besar adel Abd el Salam Asmaa F. Enein Samar Tharwat Radwan fatma Hamdy Fouad Abeer Saad Ali el Zekred Nehed Abdallah Hassan Internal Medicine (Rheumatology & Immunology) Mansoura School of Medicine Mansoura University Al Mansoura Egypt Department of Biochemistry Specialized Medical Hospital Specialised Medical Hospital Mansoura Egypt Specialised Medical Hospital Mansoura Egypt

Background: Familial Mediterranean fever (FMF) is an autoinflammatory genetic disorder that associated with different genetic mutations. Frequency of clinical manifestation differs according to age group, geographic region and ethnic population. Objectives: To study the clinical manifestation of FMF in relation to genotype (M680I, M694V, M694I and V726A). Result: The main presentation of studied group was abdominal pain 65.9% (203), followed by fever 60.4% (186) patients. (Mutation M694V) was the commonest 47.6% (297), followed by (Mutation V726A) in 32.8% (169%), then (Mutation M6802) in 23.4% (121) lastly (Mutation M6941) was in 22.1% (114) patients. Fever was highly associated with mutation (V729A) and it was statistically significant (*p value 0.047). Conclusion: Abdominal pain and fever were the most common manifestation of FMF patients. (Mutation M694V), (Mutation V726A) were the most detected mutation. Third age group;fever was associated with genetic mutation (V726A), abdominal pain with (M6941).

关键词： Familial Mediterranean Fever (FMF) MEFV Gene Mutation (M680I M694V M694I and V726A) Fever Abdominal Pain Autoinflammatory

Effect of Local Wound Infiltration with Ketamine versus Dexmedetomidine Added to Bupivacaine on Inflammatory Cytokines, a Randomized Clinical Trial

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Open Journal of Anesthesiology 2022年第8期12卷 261-277页

作者： fatma A. el sherif Moaaz Tohamy Mohamed A. M. Mostafa Suzanne de la Adlan Sahar Abdel-Baky Mohamed Samar Mansour Mahmoud M. Mohammed Ahmad M. Abd el-Rahman Anethesia ICU and Pain Management South Egypt Cancer Institute Assiut University Assiut Egypt Anesthesia ICU and Pain Management National Cancer Institute Cairo University Cairo Egypt Clinical Pathology South Egypt Cancer Institute Assiut University Assiut Egypt Surgical Oncology South Egypt Cancer Institute Assiut University Assiut Egypt

Background: Ketamine or dexmedetomidine as an adjuvant to bupivacaine in local wound infiltration attenuated postoperative stress response, especially with ketamine in patients undergoing total abdominal hysterectomy. Objectives: Compare effect of local wound infiltration with ketamine or dexmedetomidine added to bupivacaine to bupivacaine alone on inflammatory cytokine response after total abdominal hysterectomy. Methods: Sixty female patients with endometrial carcinoma underwent total abdominal hysterectomy and scheduled to receive local wound infiltration before wound closure either with one of three;40 ml of 0.25% bupivacaine alone (C Group) or with the addition of 2 mg/kg ketamine (K Group) or 2 μg/kg dexmedetomidine (D Group). After extubation, they were followed up for postoperative interleukin 6 (IL6), IL1β, IL10, and TNF-α levels were assessed at baseline, pre-infiltration, 6, and 24 h by blood samples obtained from each patient, hemodynamic variables, analgesic profile and side effects. Results: Inflammatory cytokines response was attenuated in K and D groups, evidenced by decreased mean pro-inflammatory cytokines IL6, TNF-α, and increased anti-inflammatory IL10 at 6 and 24 h postoperatively compared to pre-infiltration levels (p ≤ 0.01) with preservation of IL1β at its preoperative level (p > 0.05). Attenuation was more in K and D groups than in the C group and was highest in the K group with decreased 1st request, total morphine consumption without serious side effect. Conclusion: Local wound infiltration with ketamine or dexmedetomidine added to bupivacaine has a good postoperative analgesic profile and attenuated cytokines inflammatory response more than bupivacaine alone after total abdominal hysterectomy, with highest attenuation in ketamine group.

关键词： Ketamine Dexmedetomidine Local Infiltration Cytokines Hysterectomy

Contrast-Enhanced CT-Guided Core Biopsy of Retroperitoneal Masses

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Open Journal of Radiology 2014年第1期4卷 130-135页

作者： adel el-Badrawy Ahmed Tawfik sherif Abdelfattah Amir Monir Manal Salah-eldin Emad eldin Azmy Dina el-Tantawy Amro el-Karef Clinical Hematology Department Mansoura Faculty of Medicine Mansoura Egypt Medical Oncology Department Mansoura Faculty of Medicine Mansoura Egypt Pathology Department Mansoura Faculty of Medicine Mansoura Egypt Radiology Department Mansoura Faculty of Medicine Mansoura Egypt

Objective: To evaluate the efficacy, feasibility and safety of contrast-enhanced CT-guided core biopsy of retroperitoneal masses. Materials and Methods: Contrast-enhanced CT-guided biopsy of retroperitoneal masses was performed in 26 patients. Histopathological diagnosis was obtained and accuracy was calculated. Two blinded radiologists determined feasibility of biopsy procedures on routine CT-guidance, and compared accessibility of target lesions using contrast-enhanced and non-contrast-enhanced CT. Results: Satisfactory samples were obtained in all 26 patients and pathological diagnosis was made in 24. Accuracy was 95.5%. Routine CT-guided biopsy punctures were not satisfaction in 4/26 patients, and contrast-enhanced CT scans rendered the target lesions more accessible in 16 patients. Conclusion: Contrast-enhanced CT-guided biopsy increases the feasibility of biopsy of retroperitoneal masses.

关键词： Contrast-Enhanced CT-Guided Biopsy Retroperitoneal Masses