International journal of health sciences
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The effect of Shiitake mushroom derived Lentinan (β-glucan) administration on some hematological and biochemical parameters in intact rabbits
Get PDFThis study was conducted to investigate the nutritional effect of shitake mushroom extract (Lentinan) on some hematological and biochemical parameters in healthy female rabbits. The study included ourteen rabbits at age of (7-8) weeks. After acclimatization, animals were divided into two equal groups and as follows: first group (G1) included seven intact rabbits fed with food and distilled water (IDW) ad libitum,. The second group (G2) or (IL) included seven rabbits that were supplemented with Lentinan (10mg/kg/BW) daily and orally. The results of this study showed that the effect of supplementation the animals with mushroom extract (Lentinan) at a dose 10mg/kg/BW on G2 (IL) cause a significant increase (P≤0.05) in platelets counts but there were no significant (P≤0.05) change appeared on red blood cells. The results of experiment also confirmed the protective role of mushroom extract (Lentinan) against oxidative stress through the significant increase (P≤0.05) in the activity of glutathione peroxidase (GSH-PX) and decrease in concentration of peroxynitrite radical (ONOO-) in treatment groups (IL) as compared with control group(IDW). 
Histological study for detection impact of plastic materials through drinking water on local male rabbits
Get PDFThe aim of this research was conductedto evaluating the effect of plastic containers in depicting hot weather on animal health through the histological techniques for liver and kidney organs. Laboratory animal used for this purpose, in animal house of agriculture college university of karbala and the experiment appear from 4/6/2020to4/8/2020. Thirty local male rabbits, age 4 months and average weight 1100-1400gm were divided into equal three groups ;First group T1 served as controls negative (10 animals) were received water in metallic container at room temperature. Second groupT2: Control positive (10animals) were received water in plastic container at room temperature, while third group T3: also (10 animals) and received water exposed to 45ºC temperature in plastic container. Feeding and water offered ad-libtum
Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
Get PDFThis research presents a solution for classifying ultrasound diagnostic images describing five types of ovarian cyst as Hemorrhagic cyst, PCOS, Dermoid cyst, Endometriotic cyst, Malignant cyst. This work proposed a hybrid algorithmic technique for ovarian cyst image classification. Automatic feature extraction is implemented using recent deep learning neural network (DLNN) that extracts images. The DLNN consists of three dense layers. A proposed DLNNSVM approach outperforms existing learning approaches for ovarian cyst classification. Compared with DLNN and DLNNSVM, the performance of proposed method is better in precision, recall, accuracy and f1-measure
Correlation between epilepsy risk factors and type of seizures in children
Get PDFEpilepsy is uncommon on its own, and comorbidities are common: more than half of patients with epilepsy have one or more other medical disorders. Epilepsy has long been linked to psychiatric disorders (such as Extreme stress, extreme sadness, hyperactivity, and attention deficit), but more recently, epilepsy has been linked to somatic disorders (such as Disorders of the pancreas and its secretion of insulin, problems with tendons and joints, diseases that affect the stomach and chronic diseases related to the lung). A descriptive, Case-Control study was conducted. The research was carried out across Iraq's five Middle Euphrates Governorates, between the 1st of October 2021 and the 1st of May 2022. For the purpose of determining risk factors for epilepsy in children and to identify the relationship between the risk factors and parents socio-demographic data, clinical data and daily habits. The data was collected through the use of the questionnaire and data analysis by SPSS version 22. The findings indicate that the most important factors influencing the occurrence of epilepsy in children are as follows: (asphyxia, trauma during delivery, jaundice, febrile, encephalitis, meningitis, brain tumor, ADHD, and head trauma). as well as the occurrence of epilepsy is influenced by considerable sleep disruption. 
Prediction of environment pollution by employing long short-term memory network
Get PDFAir pollution levels have risen as an outcome of urban and industrial development in so many developing countries. People and governments all around the world are concerned about air pollution, which has a severe influence on both personal health and long-term global development. As a government, it is responsible for preventing and controlling air pollution, as well as monitoring the pollutant's impacts on human health. There are numerous computer models available, ranging from statistics to artificial intelligence. Pollution levels are still out of control in some parts of the world due to a wide range of sources and factors. Because of accurate estimates of future air pollution, the government can take necessary action. Forecasting air pollution levels based on environmental data is becoming increasingly relevant as people become more worried about global warming and urban sustainability. For replicating the complicated linkages between these variables, advanced Deep Learning (DL) algorithms hold enormous promise. The objective of this work is to provide a high level of accurate solution to the air pollution forecasting problem. Kaggle data will be employed to train a DL model that will forecast air pollution levels
Bioceramic a futuristic boon in endodontics: A review
Get PDFBackground: The ultimate goal of root canal treatment is prevention or healing of apical periodontitis. The use of biologically active materials to seal root canal systems has been extensively proposed in contemporary endodontics to realise this goal. There are several commercial formulations of bioceramics available based on minor variations in composition which could have potentially important changes in properties in the clinical situation. This narrative review serves to provide brief information on the different formulations of bioactive ceramics that are available to a dentist. Aim: To give an overview of bioceramics used in endodontics, their classification, advantages and disadvantages. This review also gives insights about each biomaterial in detail and its use in endodontics. Review Results: Continuous innovations have led to bioceramics showing a variety of applications in both endodontic and restorative dentistry. While MTA was the benchmark in bioceramics materials, material advances have constantly tried to overcome disadvantages and improve its properties. Conclusion: Bioceramics now have a wide array of applications both in endodontics and restorative dentistry. However, considering the biological advantages of bioceramics materials, their use in multiple paradigms of endodontic therapy appears to be the future
Study on artificial intelligence applications uses in agriculture
Get PDFThe automation is popular in agriculture sector is key concern besides emergent issue across the globe. The population remains growing enormously besides through this rise claim of food besides employment remains also growing. The traditional approaches which was cast-off by farmers, remained not adequate sufficient towards fulfill these necessities. Therefore, innovative automated approaches remained presented. These innovative approaches fulfilled the food necessities besides also providing service prospects on the way to billions of people in Present of Artificial Intelligence(AI).This paper presents a assessment of the software of AI in management of soil , management of crop ,weed disease . A superior attention remains arranged to observe the glitches, developed the suitable explanations for that in addition to create optimal results designed for it, artificial intelligence act by way a great help to report the diseases of harvests. Thus, the review paper discuss an quick summary of application of an artificial intelligence in agronomy, so the existing methods for agronomy besides spotlight of the numerous approaches existing intended for the discovery of diseases in harvests. The classification techniques Convolutional Neural Network delivers improved precision associated towards traditional methods
Accounting process in the republic of Uzbekistan
Get PDFPresently for shareholders and other users the financial statements are based on accounting principles and rules that are passed from country to country, in some cases only in one country. Thus, there may be a lack of comparability in the accounting reports. The disadvantage of this situation is that investment analysts and other users who use the financial report have to incur additional costs in the process of analyzing the report because it is structured according to different standards. They may also encounter confusion in the interpretation of reports. As a result of this process, effective competition in the global capital market will deteriorate, and companies will have to bear the high cost of maintaining capital. Most importantly, different amounts of profit for different countries can lead to a loss of confidence in the financial statements
Comparative study between sleeve gastrectomy with cruroplasty and Roux-en-Y gastric bypass in morbid obese patients with gastro-esophageal reflux disease
Get PDFBackground: Obesity is a worldwide pandemic and one of the most serious public health issues and causes a lot of complications to obese patients as gastroesophageal reflux disease (GERD). Bariatric surgery proves more effectiveness for morbid obese patients to lose weight and is demonstrated to include significant and long term remission of obesity related comorbidities. Methods: This a controlled clinical trial study involved 50 patients, who are diagnosed as a morbidly obese patients with GERD grade(A) and (B) by endoscopy according to their BMI (>40) or >35 with one or two of obesity related co-morbidities such as diabetes mellitus. Patients were divided into 2 groups, group (A) (25 patients) underwent LSG with cruroplasty, and group (B) (25 patients) underwent LRYGB. Results: There was no statistically significant difference found between the two studied groups regarding EBW loss percentage at 1 month while there was statistically significant increase in the EBW loss percentage at 3 months, 6 months and at 1 year in LRYGB group than LSG with cururoplasty group
How big data is used as a key element for hybrid university education
Get PDFHybrid learning in universities is the blending and mixing of the learning environments, this includes both face-to-face (FTF) which implies classroom instruction and online environment (E-learning) as well. According to De Mauro, Greco and Grimaldi (2016), Ellis’ study shows that hybrid learning provides the students with the opportunity to understand and explore the real world at the same time through various authentic experiences. Authentic experience as cited by De Mauro, Greco and Grimaldi (2016) can be facilitated in the online learning environment through coming up with sufficient online learning or by blending learning to combine both online and FTF learning. The main objective of hybrid learning is to enhance effective and efficient experience through a more improved delivery model. This study is based on the review of previous articles using PRISMA methodology, it focuses on the big data as key element in hybrid learning in university education. The main objective of this study is to review 40 articles published in Scopus within 2010 to 2022 subject to big data in education, hybrid learning in universities or higher learning institutions and based on their findings the study come up with a conclusion as discussed below