Reviewing And Analysis of The Deadlock Handling Methods

El-Sharawy, Enas E.,Ahmed, Thowiba E,Alshammari, Reem H,Alsubaie, Wafaa,Almuhanna, Norah,Alqahtani, Asma International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.10

Objectives: The primary goal of this article is to compare the multiple algorithms used for deadlock handling methods and then outline the common method in deadlock handling methods. Methods: The article methodology begins with introducing a literature review studying different algorithms used in deadlock detection and many algorithms for deadlocks prevented, recovered, and avoided. Discussion and analysis of the literature review were done to classify and compare the studied algorithms. Findings: The results showed that the deadlock detection method solves the deadlock. As soon as the real-time deadlock detection algorithm is identified and indicated, it performs better than the non-real-time deadlock detection algorithm. Our novelty the statistics that we get from the percentages of reviewing outcomes that show the most effective rate of 47% is in deadlock prevention. Then deadlock detection and recovery with 28% finally, a rate of 25% for deadlock avoidance.

Intrusion Detection: Supervised Machine Learning

Fares, Ahmed H.,Sharawy, Mohamed I.,Zayed, Hala H. Korean Institute of Information Scientists and Eng 2011 Journal of Computing Science and Engineering Vol.5 No.4

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher detection rate and a lower false alarm rate in a shorter time. This paper focuses on two classification types: a single class (normal, or attack), and a multi class (normal, DoS, PRB, R2L, U2R), where the category of attack is also detected by the NN. Extensive analysis is conducted in order to assess the translation of symbolic data, partitioning of the training data and the complexity of the architecture. This paper investigates two engines; the first engine is the back-propagation neural network intrusion detection system (BPNNIDS) and the second engine is the radial basis function neural network intrusion detection system (BPNNIDS). The two engines proposed in this paper are tested against traditional and other machine learning algorithms using a common dataset: the DARPA 98 KDD99 benchmark dataset from International Knowledge Discovery and Data Mining Tools. BPNNIDS shows a superior response compared to the other techniques reported in literature especially in terms of response time, detection rate and false positive rate.

Intrusion Detection

Ahmed R. Fares,Mohamed I. Sharawy,Hala H. Zayed 한국정보과학회 2011 Journal of Computing Science and Engineering Vol.5 No.4

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher detection rate and a lower false alarm rate in a shorter time. This paper focuses on two classification types: a single class (normal, or attack), and a multi class (normal, DoS, PRE, R2L, U2R), where the category of attack is also detected by the NN. Extensive analysis is conducted in order to assess the translation of symbolic data, partitioning of the training data and the complexity of the architecture. This paper investigates two engines; the first engine is the back-propagation neural network intrusion detection system (BPNNIDS) and the second engine is the radial basis function neural network intrusion detection system (BPNNIDS).The two engines proposed in this paper are tested against traditional and other machine learning algorithms using a common dataset: the DARPA 98 KDD99 benchmark dataset from International Knowledge Discovery and Data Mining Tools. BPNNIDS shows a superior response compared to the other techniques reported in literature especially in terms of response time, detection rate and false positive rate.

A Flavonol Triglycoside and Investigation of the Antioxidant and Cell Stimulating Activities of Annona muricata Linn.

Mahmoud Nawwar,Nahla Ayoub,Sahar Hussein,Amani Hashim,Reham El-Sharawy,Kristian Wende,Manuela Harms,Ulrike Lindequist 대한약학회 2012 Archives of Pharmacal Research Vol.35 No.5

Chemical investigation on leaves of Annona muricata resulted in the isolation of the flavonol triglycoside, quercetin 3-O-α-rhamnosyl-(1'''' → 6'')-β-sophoroside, together with twelve known phenolics. The structures of these compounds were established by 1D- and 2D-nuclear magnetic resonance spectroscopic techniques and mass spectrometry data. The in vitro antioxidant studies of the investigated aqueous ethanol extract and its column fractions were accomplished using the oxygen radical absorbance capacity (ORAC) method. A stimulating effect on HaCaT human keratinocytes by the leaf extract was also assessed. Il-6 production after UV irradiation was not influenced by A. muricata leaf extract.

A Review on the CPU Scheduling Algorithms: Comparative Study

Ali, Shahad M.,Alshahrani, Razan F.,Hadadi, Amjad H.,Alghamdi, Tahany A.,Almuhsin, Fatimah H.,El-Sharawy, Enas E. International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.1

CPU is considered the main and most important resource in the computer system. The CPU scheduling is defined as a procedure that determines which process will enter the CPU to be executed, and another process will be waiting for its turn to be performed. CPU management scheduling algorithms are the major service in the operating systems that fulfill the maximum utilization of the CPU. This article aims to review the studies on the CPU scheduling algorithms towards comparing which is the best algorithm. After we conducted a review of the Round Robin, Shortest Job First, First Come First Served, and Priority algorithms, we found that several researchers have suggested various ways to improve CPU optimization criteria through different algorithms to improve the waiting time, response time, and turnaround time but there is no algorithm is better in all criteria.

Camel Milk as an Adjuvant Therapy for the Treatment of Type 1 Diabetes: Verification of a Traditional Ethnomedical Practice

Ragaa Hosny Mohamad,Zekry Khalid Zekry,Hussain A. Al-Mehdar,Omar Salama,Siad Ebrahim El-Shaieb,Amany A. El-Basmy,Mohamad Gamil Abdel Monem Al-said,Sabry Mohamed Sharawy 한국식품영양과학회 2009 Journal of medicinal food Vol.12 No.2

There is a traditional belief in the Middle East that regular consumption of camel milk may aid in prevention and control of diabetes. The aim of this work was to evaluate the efficacy of camel milk as an adjuvant therapy in young type 1 diabetics. This 16-week randomized study enrolled 54 type 1 diabetic patients (average age 20 years) selected from those attending the outpatient diabetes clinic of the Menofia University Hospital, affiliated with Egypt's National Cancer Institute. Subjects were randomly divided into two groups of 27 patients: one received usual management (diet, exercise, and insulin), whereas the other received 500 mL of camel milk daily in addition to standard management. A control group of 10 healthy subjects was also assessed. The following parameters were evaluated at baseline and at 4 and 16 weeks: hemoglobin A1c (HbA1c), human C-peptide, lipid profile, serum insulin, anti-insulin antibodies, creatinine clearance, albumin in 24-hour urine, body mass index, and Diabetes Quality of Life score. The following parameters were significantly different between the usual-management group versus the camel milk group after 16 weeks: fasting blood sugar (227.2 ± 17.7 vs. 98.9 ± 16.2 mg/dL), HbA1c (9.59 ± 2.05[%] vs. 7.16 ± 1.84[%]), serum anti-insulin antibodies (26.20 ± 7.69 vs. 20.92 ± 5.45 μU/mL), urinary albumin excretion (25.17 ± 5.43 vs. 14.54 ± 5.62 mg/dL/24 hours), daily insulin dose (48.1 ± 6.95 vs. 23 ± 4.05 units), and body mass index (18.43 ± 3.59 vs. 24.3 ± 2.95 kg/m2). Most notably, C-peptide levels were markedly higher in the camel milk group (0.28 ± 0.6 vs. 2.30 ± 0.51 pmol/mL). These results suggest that, as an adjunct to standard management, daily ingestion of camel milk can aid metabolic control in young type 1 diabetics, at least in part by boosting endogenous insulin secretion.

The Role of Curcuma longa Against Doxorubicin (Adriamycin)-Induced Toxicity in Rats

Al-Tahtawy, Ragaa Hosny Mohamad,El-Bastawesy, Amal Mohamad,Zekry, Zekry Khalid,Al-Mehdar, Hussain A.,Al-said, Mohamad Gamil Abdel Monaam,Aly, Soaad Shaker,Sharawy, Sabry Mohamed,El-Merzabani, Mahmuod The Korean Society of Food Science and Nutrition 2009 Journal of medicinal food Vol.12 No.2

The major component, called curcumin, of turmeric (Curcuma longa L.) (Family Zingiberaceae) powder is responsible for its biological actions. The present study aimed to prove the protective effect of turmeric extract against doxorubicin (DOX)-induced cardiac, hepatic, and renal toxicity as evaluated in rats. Body weight and urine volume of the animal groups under investigation were recorded daily throughout the experimental period. Also, the cardiac, hepatic, and renal toxicities were determined by estimating the changes in serum activities of the enzymes lactate dehydrogenase (LDH) and creatine kinase (CK), serum levels of alanine aminotransferase, aspartate aminotransferase, nitric oxide, albumin, and calcium, and kidney and liver tissue activities of superoxide dismutase and glutathione peroxidase, as well as the contents of glutathione and malondialdehyde. Hyperlipidemia was also determined, and protein and albumin changes in urine were estimated. Biochemical and histopathological findings demonstrate that turmeric extract has multiple therapeutic activities that are beneficially protective, and it has an ameliorative effect against DOX-induced cardiac toxicity and hepatotoxicity and blocks DOX-induced nephrosis. Similarly, turmeric extract inhibited the DOX-induced increase in plasma cholesterol, LDH, and CK. The present findings conclude that the turmeric extract has multiple therapeutic activities that block the cardiac, hepatic, and renal toxicities induced by DOX, and it also possibly acts as a free radical scavenger.

Antioxidant and Anticarcinogenic Effects of Methanolic Extract and Volatile Oil of Fennel Seeds (Foeniculum vulgare)

Ragaa Hosny Mohamad,Amal Mohamad El-Bastawesy,Mohamad Gamil Abdel-Monem,Assmaa Mahmoud Noor,Hussain Abdel Rahman Al-Mehdar,Sabry Mohamad Sharawy,Mahmuod Mohamad El-Merzabani 한국식품영양과학회 2011 Journal of medicinal food Vol.14 No.9

The present study evaluated the efficacy of fennel seed methanolic extract (FSME) for its antioxidant, cytotoxic, and antitumor activities and for its capacity to serve as a nontoxic radioprotector in Swiss albino mice. We also assessed the natural antioxidant compounds of FSME for use in industrial application. Cytotoxic activity of FSME was evaluated in a mouse model of Ehrlich ascites carcinoma (EAC) and on different types of human cell lines in vitro. The safety and optimum dose of FSME were determined. FSME, 100 mg/kg, was injected intraperitoneally into mice bearing EAC before the mice were exposed to three 2-Gy doses of gamma irradiation. After 30 days, mice were fasted for 18 hours and then sacrificed to observe the lifespan of EAC-bearing hosts. Malondialdehyde (MDA), catalase activity, glutathione content, and total protein in serum, liver tissue, and ascitic fluid were determined. Iron, total iron-binding capacity, transferrin, and ferritin were also evaluated in serum. The data showed the presence of different types of compounds in FSME, such as flavonoids, terpenoids, alkaloids, phenols, and sterols; estragole (71.099%) was the predominant alcohol, gallic acid was the phenolic compound (18.895%), and L-limonene was the most prevalent monoterpene hydrocarbon (11.967%). The mean±standard deviation 50% inhibitory concentrations were 50±0.03 μg/mL for the MCF7 breast cancer cell line and 48±022 μg/mL for the Hepg-2 liver cancer cell line. The significant increase in MDA levels and the significant decrease in catalase activity and glutathione content in liver and tumor tissue in mice bearing EAC were ameliorated after FSME administration. In contrast, total protein content was increased in ascitic fluid. Serum iron was inversely proportional to the levels of ferritin and transferrin and total iron-binding capacity. Administration of FSME before irradiation exerted a cytoprotective effect against gamma irradiation, as manifested by a restoration of the MDA level, catalase activity, and GSH content to near-normal levels. In conclusion, FSME may have remarkable anticancer potential against a breast cancer cell line (MCF7) and liver cancer cell line (Hepg-2). It also showed strong free radical–scavenging activity (100%). Thus, FSME may reduce oxidative stress and protect mouse cells from damage caused by reactive oxygen species. In addition, it could be used as a safe, effective, and easily accessible source of natural antioxidants to improve the oxidative stability of fatty foods during storage. FSME also exhibited an antitumor effect by modulating lipid peroxidation and augmenting the antioxidant defense system in EAC-bearing mice with or without exposure to radiation.

The Role of Curcuma longa Against Doxorubicin (Adriamycin)-Induced Toxicity in Rats

Ragaa Hosny Mohamad,Amal Mohamad El-Bastawesy,Zekry Khalid Zekry,Hussain A. Al-Mehdar,Mohamad Gamil Abdel Monaam Al-said,Soaad Shaker Aly,Sabry Mohamed Sharawy,Mahmuod M. El-Merzabani 한국식품영양과학회 2009 Journal of medicinal food Vol.12 No.2

The major component, called curcumin, of turmeric (Curcuma longa L.) (Family Zingiberaceae) powder is responsible for its biological actions. The present study aimed to prove the protective effect of turmeric extract against doxorubicin (DOX)-induced cardiac, hepatic, and renal toxicity as evaluated in rats. Body weight and urine volume of the animal groups under investigation were recorded daily throughout the experimental period. Also, the cardiac, hepatic, and renal toxicities were determined by estimating the changes in serum activities of the enzymes lactate dehydrogenase (LDH) and creatine kinase (CK), serum levels of alanine aminotransferase, aspartate aminotransferase, nitric oxide, albumin, and calcium, and kidney and liver tissue activities of superoxide dismutase and glutathione peroxidase, as well as the contents of glutathione and malondialdehyde. Hyperlipidemia was also determined, and protein and albumin changes in urine were estimated. Biochemical and histopathological findings demonstrate that turmeric extract has multiple therapeutic activities that are beneficially protective, and it has an ameliorative effect against DOX-induced cardiac toxicity and hepatotoxicity and blocks DOX-induced nephrosis. Similarly, turmeric extract inhibited the DOX-induced increase in plasma cholesterol, LDH, and CK. The present findings conclude that the turmeric extract has multiple therapeutic activities that block the cardiac, hepatic, and renal toxicities induced by DOX, and it also possibly acts as a free radical scavenger.

Camel Milk as an Adjuvant Therapy for the Treatment of Type 1 Diabetes: Verification of a Traditional Ethnomedical Practice

Al-Tahtawy, Ragaa Hosny Mohamad,Zekry, Zekry Khalid,Al-Mehdar, Hussain A.,Salama, Omar,El-Shaieb, Siad Ebrahim,El-Basmy, Amany A.,Al-said, Mohamad Gamil Abdel Monem,Sharawy, Sabry Mohamed The Korean Society of Food Science and Nutrition 2009 Journal of medicinal food Vol.12 No.2

There is a traditional belief in the Middle East that regular consumption of camel milk may aid in prevention and control of diabetes. The aim of this work was to evaluate the efficacy of camel milk as an adjuvant therapy in young type 1 diabetics. This 16-week randomized study enrolled 54 type 1 diabetic patients (average age 20 years) selected from those attending the outpatient diabetes clinic of the Menofia University Hospital, affiliated with Egypt's National Cancer Institute. Subjects were randomly divided into two groups of 27 patients: one received usual management (diet, exercise, and insulin), whereas the other received 500 mL of camel milk daily in addition to standard management. A control group of 10 healthy subjects was also assessed. The following parameters were evaluated at baseline and at 4 and 16 weeks: hemoglobin A1c (HbA1c), human C-peptide, lipid profile, serum insulin, anti-insulin antibodies, creatinine clearance, albumin in 24-hour urine, body mass index, and Diabetes Quality of Life score. The following parameters were significantly different between the usual-management group versus the camel milk group after 16 weeks: fasting blood sugar ($227.2\;{\pm}\;17.7$ vs. $98.9\;{\pm}\;16.2\;mg/dL$), HbA1c ($9.59\;{\pm}\;2.05$[%] vs. $7.16\;{\pm}\;1.84$[%]), serum anti-insulin antibodies ($26.20\;{\pm}\;7.69$ vs. $20.92\;{\pm}\;5.45\;{\mu}U/mL$), urinary albumin excretion ($25.17\;{\pm}\;5.43$ vs. $14.54\;{\pm}\;5.62\;mg/dL$/24 hours), daily insulin dose ($48.1\;{\pm}\;6.95$ vs. $23\;{\pm}\;4.05$ units), and body mass index ($18.43\;{\pm}\;3.59$ vs. $24.3\;{\pm}\;2.95\;kg/m^2$). Most notably, C-peptide levels were markedly higher in the camel milk group ($0.28\;{\pm}\;0.6$ vs. $2.30\;{\pm}\;0.51\;pmol/mL$). These results suggest that, as an adjunct to standard management, daily ingestion of camel milk can aid metabolic control in young type 1 diabetics, at least in part by boosting endogenous insulin secretion.