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Effect of lower leg compression during cesarean section on post-spinal hypotension and neonatal hemodynamic parameters: nonrandomized controlled clinical trial

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International Journal of Nursing Sciences 2019年第3期6卷 252-258页

作者： wafaa taha ebrahim elgzar Hanan ebrahim Said Heba Abdelfatah ebrahim Department of Obstetrics and Gynecology Nursing Faculty of Nursing University of Damanhour Egypt Department of Obstetrics and Woman Health Nursing Faculty of Nursing University of Benha Egypt

Objectives: This study aimed to determine the effect of lower leg compression during cesarean section (CS) on post-spinal hypotension (PSH) and neonatal hemodynamic ***: This study is a nonrandomized controlled clinical trial conducted in the cesarean delivery unit of the National Medical institute,Damanhour,*** sample included 120 parturients (60 intervention and 60 control).The researchers developed three tools for data collection: sociodemographic data and reproductive history interview schedule,electronic monitoring of maternal hemodynamic parameters,and neonatal hemodynamic assessment *** parturients received ordinary preoperative *** the intervention group,a long elastic stocking (ordinary pressure 20-30 mmHg,1 mmHg =0.133 kPa) was applied on both legs during cesarean *** control group received the same care without the elastic ***: Systolic blood pressure,diastolic blood pressure,and mean arterial blood pressure were significantly higher in the intervention group throughout the entire operation period except in the last 5 -15 *** rate was significantly lower in the intervention *** 13.3% of the intervention group took ephedrine compared with 45% of the control *** score was higher among neonates of intervention group compared with the control group at 1 *** acidosis was significantly higher in the control group than in the contral ***: Lower leg compression technique can effectively reduce PSH and neonatal acidosis.

关键词： Cesarean section Hemodynamics Hypotension Leg Neonatal Stockings,compression

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Effect of upright and ambulant positions versus lying down during the active first stage of labor on birth outcomes among nulliparous women:randomized controlled clinical trial

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Frontiers of Nursing 2020年第3期7卷 239-248页

作者： Heba Abdel-Fatah Ibrahim Hanan Ibrahim Ibrahim Said wafaa taha Ibrahim elgzar Obstetrics and Woman Health Nursing department Benha UniversityBenhaKalubia 13741Egypt Maternity and Childhood Nursing Department Nursing CollegeNajran UniversityNajran 66251Kingdom of Saudi Arabia Obstetrics and Gynecologic Nursing department Damanhour UniversityDamanhour 22511Egypt

Objective:To examine the effect of upright and ambulant positions versus lying down during the active first stage of labor on birth outcomes for nulliparous ***:This is a randomized controlled clinical trial conducted at the delivery department of Damanhour Educational Institute,El Behira Governorate,*** study sample involved 150 parturient women equally divided into intervention and control groups using randomization block *** researchers used four tools for data collection:Demographic data interview schedule,World Health Organization Partograph,Apgar’s score,to evaluate neonatal outcomes,and visual analogue pain intensity *** the study group,the parturient women were encouraged to assume one of the upright positions or ambulating around the bed so as to maintain the pelvis in vertical plane as far as possible for 20-25 min for every 1 *** control group received routine hospital care,which includes lying down in *** SPSS 23.0 was used to analyze the ***:Significant differences(P0.05)were observed between both groups in term of emergency cesarean birth rates,oxytocin use,and neonatal ***:This study proves that upright and ambulant positions significantly enhance uterine contractility,cervical dilatation,and fetal head descent and reduce the first stage duration.

关键词： birth outcomes first stage of labor lying down upright position

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Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage

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Computers, Materials & Continua 2022年第7期72卷 775-796页

作者： Zeyad Ghaleb Al-Mekhlafi ebrahim Mohammed Senan taha H.Rassem Badiea Abdulkarem Mohammed Nasrin M.Makbol Adwan Alownie Alanazi Tariq S.Almurayziq Fuad A.Ghaleb Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Department of Computer Science&Information Technology Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad431004India Faculty of Science and Technology Bournemouth UniversityPooleBH125BBUK Department of Computer Engineering College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia College of Computer Science and Engineering Hodeidah UniversityHodeidah966Yemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor BahruJohor81310Malaysia

Stroke and cerebral haemorrhage are the second leading causes of death in the world after ischaemic heart *** this work,a dataset containing medical,physiological and environmental tests for stroke was used to evaluate the efficacy of machine learning,deep learning and a hybrid technique between deep learning and machine learning on theMagnetic Resonance Imaging(MRI)dataset for cerebral *** the first dataset(medical records),two features,namely,diabetes and obesity,were created on the basis of the values of the corresponding *** t-Distributed Stochastic Neighbour Embedding algorithm was applied to represent the high-dimensional dataset in a low-dimensional data ***,the Recursive Feature Elimination algorithm(RFE)was applied to rank the features according to priority and their correlation to the target feature and to remove the unimportant *** features are fed into the various classification algorithms,namely,Support Vector Machine(SVM),K Nearest Neighbours(KNN),Decision Tree,Random Forest,and Multilayer *** algorithms achieved superior *** Random Forest algorithm achieved the best performance amongst the algorithms;it reached an overall accuracy of 99%.This algorithm classified stroke cases with Precision,Recall and F1 score of 98%,100%and 99%,*** the second dataset,the MRI image dataset was evaluated by using the AlexNet model and AlexNet+SVM hybrid *** hybrid model AlexNet+SVM performed is better than the AlexNet model;it reached accuracy,sensitivity,specificity and Area Under the Curve(AUC)of 99.9%,100%,99.80%and 99.86%,respectively.

关键词： Stroke cerebral haemorrhage deep learning machine learning t-SNE and RFE algorithms

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Biological and physiological parameters of Bulinus truncatussnails exposed to methanol extract of the plant Sesbania sesbanplant

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Advances in Biological Chemistry 2011年第3期1卷 65-73页

作者： wafaa Salim Hasheesh Ragaa taha Mohamed Sayed Abd El-Monem 不详

The effects of sublethal concentrations of methanol extract of sesbania sesban plant on survival rate, egg laying of Bulinus truncatus snails, hatchability of their eggs, infection rate with Schistosoma haemato- bium miracidia, cercarial production and certain physiological parameters of treated snails were stu- died. The sublethal concentrations of the tested plant extract (LC0, LC10 and LC25) caused considerable reduction in survival rates;egg production of B. runcates snails;hatchability of eggs as well as in the infectivity of Schistosoma haematobium miracidia to the snail. Also, the tested concentrations reduced the cercarial production per snail and the period of cer-carial shedding. The glucose level in haemolymph of exposed snails was elevated while the glycogen, pro-tein content and the activities of hexokinase (HK), pyruvatekinase (PK) and lactate dehydrogenase (LDH) showed a decrease in soft tissues when compared with the control group. It was concluded that the app lication of sublethal concentration of methanol ex- tracts of Sesania sesban may be helpful in snail con- trol as it interferes with the snails’ biology and phy- siology.

关键词： Bulinus truncatus Schistosoma Haematobium Miracidia Sesbania sesban Plant

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Phenotypic and Molecular Characterization of Wheat Leaf Rust Resistance Gene Lr34in Iranian Wheat Cultivars and Advanced Lines

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American Journal of Plant Sciences 2013年第9期4卷 1821-1833页

作者： Seyed taha Dadrezaei Kumarse Nazari Farzad Afshari ebrahim Mohammadi Goltapeh College of Agriculture TarbiatModares University Tehran Iran International Center for Agricultural Research in the Dry Areas (ICARDA) Aleppo Syria. Seed and Plant Improvement Institute (SPII) Karaj Iran

Lr34 is a vital gene in developing resistance to leaf rust, stripe rust, and powdery mildew of wheat. Providing simultaneous resistance to various pathogens has made this gene valuable in breeding for wheat resistance to many diseases. The present study investigates the csLV34 marker’s capability in diagnosing this locus in130 wheat commercial cultivars and advanced wheat lines from Iran, and assesses the impact of this gene on disease severity in field conditions. To assess the reactions of cultivars and lines which contained Lr34 under epidemic conditions of leaf rust, these cultivars were cultivated during the 2009 and 2010 cropping season. Of the 130 studied cultivars, 43 contained Lr34. Cultivars that were selected and studied in stress conditions had the most frequent presence of Lr34. It can be concluded that this gene plays a vital role in increasing the tolerance of cultivars under stress conditions. Lr34 seems to cause active transition of materials out of the cell. In addition to being resistant to several important diseases of wheat, Lr34 can increase tolerance to stresses such as salinity. Considering the calculated value for AUDPC (3%-440%/d) in cultivars containing Lr34, it seems that some cultivars contained additional resistance genes. The rate of infection in all cultivars, when presence of Lr34 was detected through the molecular marker, was lower than in other cultivars. Field results confirmed the results of the analysis using the csLV34b molecular marker.

关键词： Lr34 Gene AUDPC Salinity Stress Leaf Rust Puccinia triticina

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Relationship between Traffic Related Air Pollutants and Cognitive Function among Elderly in Egypt

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Advances in Aging Research 2019年第1期8卷 1-13页

作者： Tomader taha Abdel Rahman Maram Maher Monier Sally Adel Hakim Lamyaa Kamel ebrahim Department of Geriatrics & Gerontology Faculty of Medicine Ain Shams University Cairo Egypt Department of Industrial Medicine Faculty of Medicine Ain Shams University Cairo Egypt

Background: Cognitive impairment is a major health issue particularly with the increasing aging population. There are around 47.5 million dementia cases globally. Traffic air pollution issue is a chief environmental problem principally in the mega cities such as Cairo. Methodology: In a Cross sectional and comparative research study the study subjects recruited involved 200 individuals, categorized into two research groups: 100 from Cairo’s elderly home residents and 100 from EL-Gharbaya’s elderly home residents. Results: Statistical linear regression analysis revealed that fine particulate matter, carbon monoxide, and nitric oxide have a statistically significant impact on cognitive function (p values Conclusions: Traffic related air pollutants were strongly associated with cognitive impairment within elderly population in geriatric home residents in Egypt. Regarding to statistically significant difference in concentration of traffic related air pollutants between urban and rural areas, urban areas were more polluted than rural areas.

关键词： Cognitive Function Traffic Related Air Pollutants Elderly in Egypt

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Effect of upright and ambulant positions versus lying down during the active first stage of labor on birth outcomes among nulliparous women: randomized controlled clinical trial

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Frontiers of Nursing 2020年第3期

作者： Heba Abdel-Fatah Ibrahim Hanan Ibrahim Ibrahim Said wafaa taha Ibrahim elgzar

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Molecular Genetic Diversity in Iranian Populations of Puccinia triticina, the Causal Agent of Wheat Leaf Rust

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American Journal of Plant Sciences 2013年第7期4卷 1375-1386页

作者： Seyed taha Dadrezaie Samer Lababidi Kumarse Nazari ebrahim Mohammadi Goltapeh Farzad Afshari Fida Alo Masoud Shams-Bakhsh Naser Safaie College of Agriculture Tarbiat Modres University Tehran Iran International Center for Agricultural Research in the Dry Areas (ICARDA) Aleppo Syria Seed and Plant Improvement Institute Karaj Iran

Wheat leaf rust caused by Puccinia triticina, is the most common and widely distributed wheat rust in the world. In order to study the genetic structure of leaf rust population 14 pairs of AFLP and 6 pairs of FAFLP primers evaluated on 86 isolates samples collected in Iran during spring of 2009. Results showed that almost all investigated isolates were genetically different and special pattern of AFLP allele’s that confirm high genetic diversity within leaf rust population was observed. Analyses showed, all provinces were classified into three major groups particularly similar clusters were found between then neighboring provinces. Rust spore can follow the migration pattern in short and long distances to neighbor in provinces. Results indicated that the greatest variability was revealed by 97% of genetic differentiation within leaf rust populations and the lesser variation of 3% was observed between the rust populations. These results suggested that each population was not completely identical and high gene flow has occurred among the leaf rust population of different provinces. The highest differentiation and genetic distance among the Iranian leaf rust populations was detected between leaf rust population in Sistan and Baluchistan and highest similarity was observed between in Ardabil provinces. The high pathogenic variability of leaf rust races in Ardabil and Northern Khorasan may be an indication that these two regions are the center of origin of pathogenic arability. Present study shows that leaf rust population in Iran is highly dynamic and variable.

关键词： Leaf Rust Gene Resistance Genetic Diversity Puccinia triticina AFLP and FAFLP Markers

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Acylhydrazide and Isatin Schiff Bases as Alternate UV-Laser Desorption Ionization (LDI) Matrices for Low Molecular Weight (LMW) Peptides Analysis

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American Journal of Analytical Chemistry 2012年第12期3卷 779-789页

作者： Syed Ghulam Musharraf Aisha Bibi Najia Shahid Muhammad Najam-ul-Haq Momin Khan Muhammad taha Uzma Rasool Mughal Khalid Mohammed Khan Department of Chemistry Bahauddin Zakariya University Multan Pakistan Hussain ebrahim Jamal Research Institute of Chemistry International Center for Chemical and Biological Sciences University of Karachi Karachi Pakistan Panjwani Center for Molecular Medicine and Drug Research International Center for Chemical and Biological Sciences University of Karachi Karachi Pakistan

Matrix-assisted laser desorption/ionization (MALDI) is a preferred and widely used mass spectrometric technique for the analysis of macromolecules. Limited UV-LDI matrices are available for the analysis of biomolecules due to the restricted structural features to serve in the laser desorption/ionization mechanism with a problem of background signals appearing in the low mass region. This paper describes the application of Schiff base derivatives of acylhydrazide and isatin as alternate UV-LDI matrices for the analysis of peptides with significantly low background signals. Thirty one compounds have been successfully employed as matrices for the analysis of low molecular weight (LMW) peptides (α-Cyano-4-hydroxycinnamic acid (HCCA), a preferred choice for peptide analysis.

关键词： MALDI-MS LDI Matrix Acylhydrazide Schiff Bases Bis-Schiff Bases of Isatin Schiff Bases of Isatin Peptides

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