Follow-up of 50 children after posterior urethral valve management in Al-Azhar University Hospitals

Objective: This study was performed to assess the various clinical presentations, complications, and surgical management, as well as follow-up, of patients with posterior urethral valve (PUV).Patients and methods: This is a prospective descriptive analysis of the data of 50 patients with PUVs of different age reviewed. Serum creatinine levels, clinical examination, abdominopelvic ultrasound, and magnetic resonance urography were performed, and the diagnosis was confirmedby voiding cystourethrography. The patients were divided into two categories: primary intervention and surgical intervention.Results: A total of 50 boys with a mean age at diagnosis of 100 ±15 days were included in this work. The most common presentation in patients managed by valve ablation was difficult micturition (60%), whereas in patients managed by initial vesicostomy the most common presentation was febrile urinary tract infection (67%). Vesicoureteral reflux presented in 61.2% and hydronephrosis in 82.6%, whereas complications occurred in three (6%) children. Mortality occurred in five (10%) patients. Postoperative improvement of hydronephrosis grade in both categories is not appreciably different.Conclusion: Urinary drainage using small catheters or nasogastric tube in the early days of infancy followed by valve ablation is the best treatment modality in PUV.Keywords: children, outcome, posterior urethral valve, urinary drainage valve ablation, vesicostom

A doctor recommender system based on collaborative and content filtering

The volume of healthcare information available on the internet has exploded in recent years. Nowadays, many online healthcare platforms provide patients with detailed information about doctors. However, one of the most important challenges of such platforms is the lack of personalized services for supporting patients in selecting the best-suited doctors. In particular, it becomes extremely time-consuming and difficult for patients to search through all the available doctors. Recommender systems provide a solution to this problem by helping patients gain access to accommodating personalized services, specifically, finding doctors who match their preferences and needs. This paper proposes a hybrid content-based multi-criteria collaborative filtering approach for helping patients find the best-suited doctors who meet their preferences accurately. The proposed approach exploits multi-criteria decision making, doctor reputation score, and content information of doctors in order to increase the quality of recommendations and reduce the influence of data sparsity. The experimental results based on a real-world healthcare multi-criteria (MC) rating dataset show that the proposed approach works effectively with regard to predictive accuracy and coverage under extreme levels of sparsity

Estimation of seismic moments from local magnitudes and coda durations for the Cairo earthquake aftershocks recorded at Kottamyia (KEG) Broadband station

The spectral analysis of fifty-five KEG VBB records from the October 12, 1992 Cairo earthquake source region was performed to obtain the seismic moment. We obtained this parameter in turn to develop empirical local magnitude (ML), seismic moment (Mo), coda duration (D) relations for that region. In this study the data consist of Lg-waves on the vertical component seismograms for the recorded earthquakes with ML ranging from 1.7 to 4.7. The derived empirical relation between the seismic moment (Mo) and magnitude ML for the aftershocks sequence with 1.7 = ML < 3.5 is Log (Mo) = (0.96 ± 0.05) ML + (17.88 ± 0.13). We found a correlation between the coda duration (D) and Log of the moment (Log (Mo)) as follows: Log (Mo) = (2.35 ± 0.27) Log (D) + (16.33 ± 0.48)

Relationships between the Parity and Pelvimetry of Egyptian Buffalo Cows: Prediction of Dystocia and Estimation of Age

Background: The current study aimed to determine the most strongly correlated variable of pelvimetry with the parity in our native breed Egyptian buffaloes. Methods: The study was conducted on 36 female buffaloes (nullipara, n=14, primipara n=6 and pluripara, n=16 with 2-4 births) aged between &lt;15 months, n=15 and 65 months, n=21. The internal and external pelvic measurements were obtained using the rice pelvimeter and Freeman’s measuring tape. Results: Strong positive linear relationships were found for the distance between ischiatic tuberosities and the distance between sacral tubercles with the correlation coefficients of 0.64 and 0.62, respectively. The conjugate diameter increased progressively with the age and number of births, with a correlation coefficient of 0.96. The pelvic area had a very strong positive linear relationship with a correlation coefficient of 0.89. The linear combination of the predictor variable (conjugate diameter), to predict the number of birth was developed successfully. Conclusion: The strong relationship between the conjugate diameter and the number of births could be employed to predict the dystocia and estimate the age of female buffalo. Furthermore, these findings could be aid paleontologists in studying buffalo fossils

Performance Evaluation of an Intelligent and Optimized Machine Learning Framework for Attack Detection

In current decades, the size and complexity of network traffic data have risen significantly, which increases the likelihood of network penetration. One of today's largest advanced security concerns is the botnet. They are the mechanisms behind several online assaults, including Distribute Denial of Service (DDoS), spams, rebate fraudulence, phishing as well as malware attacks. Several methodologies have been created over time to address these issues. Existing intrusion detection techniques have trouble in processing data from speedy networks and are unable to identify recently launched assaults. Ineffective network traffic categorization has been slowed down by repetitive and pointless characteristics. By identifying the critical attributes and removing the unimportant ones using a feature selection approach could indeed reduce the feature space dimensionality and resolve the problem.Therefore, this articledevelops aninnovative network attack recognitionmodel combining an optimization strategy with machine learning framework namely, Grey Wolf with Artificial Bee Colony optimization-based Support Vector Machine (GWABC-SVM) model. The efficient selection of attributes is accomplished using a novel Grey wolf with artificial bee colony optimization approach and finally the Botnet DDoS attack detection is accomplished through Support Vector machine.This articleconducted an experimental assessment of the machine learning approachesfor UNBS-NB 15 and KDD99 databases for Botnet DDoS attack identification. The proposed optimized machine learning (ML) based network attack detection framework is evaluated in the last phase for its effectiveness in detecting the possible threats. The main advantage of employing SVM is that it offers a wide range of possibilities for intrusion detection&nbsp;program development for difficult complicated situations like cloud computing. In comparison to conventional ML-based models, the suggested technique has a better detection rate of 99.62% and is less time-consuming and robust

Women from the Middle East and North Africa in Europe: Understanding their marriage and family dynamics

The aim of this article is to assist the understanding of social workers in Europe of marriage and family dynamics among women from Middle East and North African countries who have moved to Europe. The focus of this article is on husband selection processes and family dynamics after marriage in Egypt, which is used as a case study reflecting culture and norms surrounding marriage in this region. This article reports on the findings of doctoral studies which examined marriage patterns and family dynamics in North Africa and in particular in Egypt where more in-depth data were available. The authors reflect issues surrounding values and process of marriage not only in terms of the implications for practice with social work clients or service users, but also in relation to the potential of women from this region who may join the social care workforce