Paracetamol versus meperidine for relief of labour pain in primiparous women: a randomized controlled trial

Background: Most parturient women request analgesia, of which, there are two types; opioids and non-opioids. Opioids include morphine and meperidine, while non-opioids, which are milder forms of painkillers, include acetaminophen (paracetamol) and non-steroid anti-inflammatory drugs. The major concerns associated with opioids are the risk of neonatal respiratory depression, the cost and availability.Methods: The aim of this study was to compare the efficacy and safety of paracetamol versus meperidine for intra-partum pain relief. A total of 92 primiparous singleton term pregnant women were randomly allocated to receive intravenous paracetamol (1000 mg), or intramuscular meperidine (50 mg), at the beginning of the active phase of labor. The primary outcome was the labor pain perception, assessed using the visual analogue scale (VAS), at baseline, 15, 30, 60 and 120 minutes after administration of the drug.Results: Women of both groups showed significant reduction of the VAS after administration of the medication. There were no differences between both groups regarding the mode of delivery and the durations of the first or second stages of labor. However, meperidine was associated with higher rates of dizziness and nausea/vomiting. The 1-min Apgar scores were significantly lower in meperidine group. However, there were no differences in the 5-min Apgar score, need for neonatal resuscitation or neonatal respiratory distress.Conclusions: intravenous paracetamol as analgesia during labor is effective with no fetal or maternal adverse effects. Its use should have more chance for intrapartum pain relief. Additionally, it can be used as adjuvant with other types of analgesics

Isolation and biochemical characterization of a novel antimicrobial agent produced by Streptomyces violaceusniger isolated from Yemeni soil

Background: Infections caused by multidrug-resistant bacteria present daily challenges to infectious disease physicians in hospitals throughout the world and these pathogens are spreading into the community. The development of new antibacterial agents to combat worsening antibiotic resistance is still a priority area in anti-infective research.Methods: The experiments were carried out to search for new natural antibiotics through isolation of various Streptomyces strains from different soil samples from Yemen and studying the antimicrobial effects of metabolites that produced. In the same time, the toxicological and biochemical effects of the extracted antibiotic on animals were studied.Results: Streptomyces violaceusniger, was isolated from Yemeni soil sample produced active metabolite that was designated faqihmycin has substantial antimicrobial potential against different microbial species. Investigations into the possible mode of action of faqihmycin revealed that it affects cell wall synthesis and intracellular macromolecule contents of the Gram-positive bacteria Bacillus subtilis. Toxicity studies of faqihmycin confirmed the hepatotoxicity of faqihmycin, there is no strong evidence to suggest that it is nephrotoxic.Conclusions: Further studies with Faqihmycin are needed in order to elucidate its detailed mechanism of action on bacterial cells, as well as studies with Faqihmycin with different doses in order to determine its potential therapeutic use.

Production and characterization of antimicrobial active substance from some macroalgae collected from Abu- Qir bay (Alexandria) Egypt

The antimicrobial activity of three different macroalgal species [Jania rubens (Linnaeus) Lamouroux; Ulva fasciata Delile and Sargassum vulgare C. Agardh] belonging to Rhodophyta, Chlorophyta and Phaeophyceae, respectively, were collected seasonally in 2007 to 2008 from Abu-Qir bay (Alexandria, Egypt). The different macroalgal species were tested against pathogenic microbes such as Bacillus subtilis, Staphylococcus aureus and Streptococcus aureus as gram-positive bacteria, Escherichia coli, Salmonella typhi and Klebsiella pneumoniae as gram-negative bacteria and one yeast strain, Candida albicans. The influence of sampling season on the antimicrobial activity of the collected seaweeds showed strong activity in spring followed by winter, summer and autumn, respectively. However, the strongest antimicrobial activity was recorded in 70% acetone extract of U. fasciata collected during winter against all the tested microorganisms. This extract was purified using column chromatography (CC) and thin layer chromatography (TLC). The nature of this purified antimicrobial material was detected using different chemical analysis (UV, IR,1H NMR and MS) which indicated that it is an aromatic compound and has different active groups (-NH2, -C=O, -NO2, phenyl ring and -CH3). The molecular weight of the compound was determined (662) and its structure was characterized as a derivative of phthalate ester [(E)-1-(10-acetamido-2-nitrodec-9-enyl) 2-(10-acetamido-2-nitrodecyl) 4-methylphthalate]. This is the first evidence of the isolation of phthalate esters derivative from green seaweeds (U. fasciata) that has broad antimicrobial activity.Key words: Antimicrobial, pathogenic microbes, season, seaweeds

In vitro screening of antimicrobial activity of extracts of some macroalgae collected from Abu-Qir bay Alexandria, Egypt

Ethanol, methanol and acetone extracts of nine marine macroalgae (Rhodophyta, Chlorophyta and Phaeophyta) from Abu-Qir bay (Alexandria, Egypt) were evaluated for antimicrobial activity by agar well diffusion methods against pathogenic microbes (Bacillus subtilis, Staphylococcus aureus and Streptococcus aureus as gram-positive bacteria, and (Escherichia coli, Salmonella typhi and Klebsiella pneumoniae as gram-negative bacteria) and one yeast strain Candida albicans. All pathogenic microorganisms were obtained from Culture Collection of Botany Department, Faculty of Science, Tanta University. The best results were obtained by acetone extracts with inhibition activity (36.7%), followed by the methanol extracts (32.9%), and then ethanol extracts (30.2%) for all tested microorganisms. The tested species of Chlorophyta were the most active followed by Rhodophyta and Phaeophyta. The most active seaweeds was Ulva fasciata (chlorophyceae) against all tested microorganisms.Key words: Seaweeds, antimicrobial activity, extracts, pathogenic microbes

Adaptive Framework for Robust Visual Tracking

Visual tracking is a difficult and challenging problem, for numerous reasons such as small object size, pose angle variations, occlusion, and camera motion. Object tracking has many real-world applications such as surveillance systems, moving organs in medical imaging, and robotics. Traditional tracking methods lack a recovery mechanism that can be used in situations when the tracked objects drift away from ground truth. In this paper, we propose a novel framework for tracking moving objects based on a composite framework and a reporter mechanism. The composite framework tracks moving objects using different trackers and produces pairs of forward/backward tracklets. A robustness score is then calculated for each tracker using its forward/backward tracklet pair to find the most reliable moving object trajectory. The reporter serves as the recovery mechanism to correct the moving object trajectory when the robustness score is very low, mainly using a combination of particle filter and template matching. The proposed framework can handle partial and heavy occlusions; moreover, the structure of the framework enables integration of other user-specific trackers. Extensive experiments on recent benchmarks show that the proposed framework outperforms other current state-of-the-art trackers due to its powerful trajectory analysis and recovery mechanism; the framework improved the area under the curve from 68% to 70.8% on OTB-100 benchmark

AgroSupportAnalytics: big data recommender system for agricultural farmer complaints in Egypt

The world’s agricultural needs are growing with the pace of increase in its population. Agricultural farmers play a vital role in our society by helping us in fulfilling our basic food needs. So, we need to support farmers to keep up their great work, even in difficult times such as the coronavirus disease (COVID-19) outbreak, which causes hard regulations like lockdowns, curfews, and social distancing procedures. In this article, we propose the development of a recommender system that assists in giving advice, support, and solutions for the farmers’ agricultural related complaints (or queries). The proposed system is based on the latent semantic analysis (LSA) approach to find the key semantic features of words used in agricultural complaints and their solutions. Further, it proposes to use the support vector machine (SVM) algorithm with Hadoop to classify the large agriculture dataset over Map/Reduce framework. The results show that a semantic-based classification system and filtering methods can improve the recommender system. Our proposed system outperformed the existing interest recommendation models with an accuracy of 87%

Aerosol Characterization in Egypt Urban and Rural Measurements

Characterization of the size distribution of airborne particulate matter, atmospheric aerosols, is valuable and represents an important key for the assessment of air quality and human health. Moreover, aerosol composition and, in particular, the size differentiated composition may provide information in sources responsible for the airborne particles

Discovery of novel oxazole-based macrocycles as anti-coronaviral agents targeting SARS-CoV-2 main protease

Peer reviewedPostprin

Adult sex identification using digital radiographs of the proximal epiphysis of the femur at Suez Canal University Hospital in Ismailia, Egypt

AbstractSex identification is an important step toward establishing identity from unknown human remains. The study was performed to test accuracy of sex identification using digital radiography of proximal epiphysis of femur among known cross-sectional population at Suez Canal region. Seventy-two radiographs of femur of living non-pathologic individuals were included. Original sample was divided into two equal groups of females and males (24 each). Test sample (group 3) included 24 radiographs. Six landmarks (A–F) were selected and 15 distances were generated representing all possible combinations of these landmarks. A is a point on the shaft under lower end of lesser trochanter, B is a point on the shaft. A–B is perpendicular to the axis of the shaft. C and D are points on femoral neck. E and F are points on femoral head. In original sample, mean and standard deviation were calculated, then accuracy, sensitivity and specificity. In test sample, the 15 distances were used to identify sex of that radiograph according to the cut-off value made from original sample.In original sample, CE and EF were most distinctive measurements for sexual dimorphism. AB and CF showed least accuracy (66.7% and 70.8%). BF, CE and EF were most sensitive for identification.In test sample, CE and EF showed 100% accuracy. AB and CF showed least accuracy (54.2% and 62.5%). AC, AE, BC, BE, BF, CE and EF were most sensitive for identification.Digital radiography of femur can be an alternative measurement used in sex identification in Egyptian population