Eye diseases during pregnancy can be classified according to the cause of disease as the disease can be pregnancy-induced or due to presence of pre-existing eye disorder or due to normal physiological changes with pregnancy. Here, we have a case of valsalva retinopathy which demonstrates a condition resulting from increase in the intra-abdominal and intra-thoracic pressures owing to multiple bearing-downs in normal labour due to bad management of the process of normal labour. Ophthalmologists plus obstetricians play great role in prevention and diagnosing valsalva retinopathy. Prevention could be managed through curbing the patient from straining and by proper management of normal labour so pregnancy is a risk factor for valsalva retinopathy.

The era of technology and digitalization has been advantageous to the educational sector.The examination system is one of the most important educational pillars that have been affected. As automatic exam grading is a revolution in the history of exam development, and therefore the automatic grading system has started to replace the traditional assessment system. The automatic grading system allows the examiners to automatically assign grades for students'' answers compared to the model answers. And, generate results based on the examiners' answers. In this paper, we especially address the short answer questions. Most research has been done on the English language. On the other side, few research works have been conducted on Arabic. Moreover, Arabic is considered one of the rare resource languages. This paper is aimed to build an Automatic Arabic Short Answer Grading (AASAG) model using semantic similarity approaches. It is used to measure the semantic similarity between the student and model answer. The proposed model is applied to one of the Arabic scarce publicly available datasets which is called (AR-ASAG). It contains 2133 pairs of models and student answers in several versions such as txt, xml, and db. The efficiency of the proposed model was evaluated through two conducted experiments using two weighting schemas local, and hybrid local and global weighting schema. The developed approach with hybrid local and global weight-based LSA achieved better results than using local weight-based LSA with (82.82%) as F1-score value, and 0.798 as an RMSE (Root-Mean-Square Error) value using hybrid local and global weight-based LSA.INDEX TERMS Short Answer Grading system, Arabic language, global weight-based LSA

<span>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%.</span>

Atonic post-partum haemorrhage (PPH) is one of the most challenging complications of normal delivery process. There are many maneuvers applied to the atonic uterus for controlling the blood loss and conserving the uterus from hysterectomy process. There are pharmacological and surgical methods to control the bleeding. In this study, we introduce the Mostafa Maged technique to prevent and control post-partum bleeding during vaginal delivery. It is so simple and not-costly method.

Most women who are primigravida are mostly confronted with episiotomy during child-birth to prevent the perineal and vaginal lacerations which could be performed at birth. There are many types of episiotomies which are median, mediolateral and J-shaped episiotomy. In here, we performed the mediolateral suture due to its safety. All episiotomy were taken by the Mostafa Maged four-stitch technique. Prevention of the formation of the dead space during the repair of episiotomy so avoiding hematoma formation in the episiotomy area after child-birth. It is an Interventional study. The Mostafa Maged four-stitch technique uses the absorbable vicryls treads with round needles 75 mm. the results of this new technique are Prevention of the dead space formation, Good and tight hemostasis of the episiotomy is achieved, strong approximation of the two edges of the episiotomy, cosmetically, it is so good. The invention of this new technique (Mostafa Maged technique) has shown its effectiveness in those fifteen patients in preventing the dead space during suturing the episiotomy in primigravida cases.