THE BENEFITS OF WATER IMPROVEMENT PROGRAM TO WOMEN: A LITERATURE REVIEW

A review of the available literature shows that in developing countries the role of women in the water sector is often limited to collecting and managing water at the household level. Water improvement programs are found to provide women with enormous direct benefits in the form of reduced time and effort (women's workload) required to complete water related activities, reduced adverse health impacts associated with traditional water sources, and improved socio-economic status. Also, such programs are found to provide women with a number of indirect benefits.Resource /Energy Economics and Policy,

Article Review: Medical Plants: Their Compounds and the Biotechniques for Identifying and Separation of Them

It was possible through this study to give a brief overview of the most important pharmaceutical compounds, which included glycosides, alkaloids, terpenes and their plant sources, which encourages the adoption of various separation techniques protocols to obtain multiple types of pharmaceutical compounds of high pharmacological value from medicinal plants compared to its standard compounds and thus the possibility of using it medically to cure many diseases and dispense with medicines and chemotherapy with multiple side effects and interactions. The study dealt with garlic, ginger and chamomile plants and their pharmaceutical compounds as examples of medicinal plants known since ancient times, research has confirmed its health benefits, as it supports normal body functions and the immune system

Semigroup ideal in Prime Near-Rings with Derivations

In this paper we generalize some of the results due to Bell and Mason on a near-ring N admitting a derivation D , and we will show that the body of evidence on prime near-rings with derivations have the behavior of the ring. Our purpose in this work is to explore further this ring like behavior. Also, we show that under appropriate additional hypothesis a near-ring must be a commutative ring

Q-learning based distributed denial of service detection

Distributed denial of service (DDoS) attacks the target service providers by sending a huge amount of traffic to prevent legitimate users from getting the service. These attacks become more challenging in the software-defined network paradigm, due to the separation of the control plane from the data plane. Centralized software defined networks are more vulnerable to DDoS attacks that may cause the failure of all networks. In this work, a new approach is proposed based on q-learning to enhance the detection of DDoS attacks and reduce false positives and false negatives. The results of this work are compared with entropy detection in terms of the number of received packets to detect the attack and also the continuity of service for legitimate users. Moreover, these results indicate that the proposed system detects the DDoS attack from flash crowds and redirects the traffic to the edge of the data center. A second controller is used to redirect traffic to a honeypot server that works as a mirror server. This guarantees the continuity of service for both normal and suspected traffic until further analysis is done. The results indicate an increase of up to 50% in the throughput compared to other approaches

Fasting Relationship with an Immune System and Heart Disease

One of the most frequent contributors to co-morbidities or death among individuals living with HIV (PLWH) in antiretroviral therapy (ART) is cardiovascular disease (CVD). Vascular cardiovascular disease, arterial disease, stroke, illness, or cardiac cardiac were among the CVDs that over 50% of PLWH are expected to have a greater likelihood of acquiring. The pathological process on such organism varies by shared vulnerabilities, HIV Viral infection itself, or complications of immunosuppressive medication. With this goal, potential non-pharmacological treatments, including dietary practices like intermittent fasting (IF), are now being investigated globally. The academic community is becoming increasingly interested within IF, a common procedure, because of its prospective advantages for improving blood pressure (BP), chronic inflammation, platelet-derived expansion factor AB, blood lipids as well as lipoproteins and blood vessel intima-media dimension, as well as additional cardiovascular health indicators. Because intermittent fasting has inherent features that improve the main heart disease risk variables as well as modulate inflammation responses linked to arterial disorder, lipid per oxidation, as well as ageing, this review can concentrate with investigating the possible advantages of irregular not eating as an alternatives to medication inexpensive approach to reducing the prevalence of heart conditions within HIV individuals on ART. Through the battle towards the rising incidence of cardiovascular diseases through PLWH, short-term fasting regimes require must be further evaluated in research studies as a significant, innovative, as well as affordable coadjutant of ART

The Effect of Oral Contraceptive Pills on The Gene Mutation of Factor V Leiden among Sudanese Women

Oral contraceptive pills are problems for women, often have many effects, and may cause several diseases. The purpose of this research was to determine the impact of oral contraceptive pills on factor V sufferers. This case-control study conducted in Khartoum Sudan during the period from April to November 2018. The study included 50 women who used oral contraceptive as a case and 50 women who did not use oral contraceptive pills as a control, all of whom were verbally informed of the study and approved for participation. The PCR do for each sample. The results obtained from cases show that the mean age is 30±5.5 and divided into three groups less than 20 with a lower frequency of 4 % (2/50), (20-35) with a higher incidence of 80 % (40/50) and a higher rate of 16 % (8/50) for more than 35 years. Most cases use the oral contraceptive pill for more than one year at a frequency of 60% (30/50) with a mean of 2±0.8. The most frequent oral contraceptive pill use was levonorgestrel 88% (44/50), followed by desogestrel 12% (6/50). The study concludes that there is no significant difference in gene mutation between case and control. There was also an insignificant association between the mutation and demographic data

Isolation of Streptococcus Mutans and its Bacteriophage from Human Plaque Samples

Background: Streptococcus mutans (S. mutans) is one of the main agents of caries formation, mainly because of the ability to form biofilms on the tooth surface. Bacteriophage of S. mutans are viruses that can attack and limit the pathogenic activity of S. mutans, hence limiting their cariogenic effect and preventing dental caries. There is a deficiency in the literature on the successful isolation of phage against S. mutans. Aims: The purpose of this study is to isolate S. mutans strains from clinical plaque samples, screen those samples for phage and test them against laboratory type cultures for phage. Methods: Thirty-eight clinical plaque samples were collected from participants using ESwab (Copan Italia, Brescia, Italy) and cultured on Brain Heart Infusion (BHI) and Tryptone-yeast-cysteine-sucrose-bacitracin (TYCSB) agars to isolate S. mutans strains. Following isolation and identification by Gram stain and PCR, phage screening by spot assay against laboratory type cultures was carried out. Six NCTC S. mutans strains (10832, 10919, 10920, 10923, 11060, 11061) and twelve type strains provided by Newcastle University (S. mutans UA159, 10449, UA140, Ingbritt, GS5, sobrinus 12279, gordonii DL1, sanguinis SK36, oralis 34, tigurinus JP1BV1, oligofermentans LR11BV4 and Actinomyces oris MG1) were all used for spotting. Results: The isolation of S. mutans strains from the clinical samples was successful. TYCSB agar showed to be selective for S. mutans while BHI media showed rich growth of different colonies. Gram stain was performed on the suspected colonies and confirmed later by PCR for S. mutans. On spot assay, no evidence of phage lysis was found within pooled filtrate samples against NCTC type strains and Newcastle type strains. Conclusion: The isolation of S. mutans from clinical samples was achieved using TYCSB media. Phage isolation was unsuccessful from the 38 clinical plaque samples probably due to low frequency of their natural occurrence. Isolation of Streptococcus mutans and bacteriophage from human plaque sample

Prediction of spot welding parameters using fuzzy logic controlling

The Resistance Spot Welding (RSW) represents one of the most important welding processes. The resistance spot welding quality depends on the process parameters like welding current, electrode force and welding time and their chosen levels. In this work, the experimental part is validated by the simulation part, where the last will be used later for predicting the results for new data with a very acceptable percentage of accuracy. This study presents an experimental work of the resistance spot welding for two similar sheets of Austenitic Stainless Steels (AISI 304) that are intended to be held together in one point by the pressure of the electrodes, with high magnitude of electrical current to be applied, where the resistance spot welding parameters (welding current and welding time) are changeable to show each of the parameter’s action on the welded material properties (The Maximum Shear Load that the metal can be subject to besides The Nugget Zone Diameter of the welded contact area). The experimental work in this study delivers genuine and important data that will be the basis for the Fuzzy Logic Controller (FLC), which will be set up then. The Artificial Intelligence (which is presented by the fuzzy logic controller) role is to predict the optimal welded material parameters for any given resistance spot welding parameters, and to discover the probability of expulsion, failure, or breaking in the welding process before it takes place or happens, where in this study, the FLC predicted the optimum value of the maximum shear load for RSW, which occurs at the welding time=20 cycle and the welding current=8 KA, while the estimated optimum value of the Nugget Diameter by FLC for RSW is found at welding time=20 cycle and welding current=8 KA.This prediction will save the metal parts and the electrodes of welding, besides saving the cost and the effor

Prediction of spot welding parameters using fuzzy logic controlling

The Resistance Spot Welding (RSW) represents one of the most important welding processes. The resistance spot welding quality depends on the process parameters like welding current, electrode force and welding time and their chosen levels. In this work, the experimental part is validated by the simulation part, where the last will be used later for predicting the results for new data with a very acceptable percentage of accuracy. This study presents an experimental work of the resistance spot welding for two similar sheets of Austenitic Stainless Steels (AISI 304) that are intended to be held together in one point by the pressure of the electrodes, with high magnitude of electrical current to be applied, where the resistance spot welding parameters (welding current and welding time) are changeable to show each of the parameter’s action on the welded material properties (The Maximum Shear Load that the metal can be subject to besides The Nugget Zone Diameter of the welded contact area). The experimental work in this study delivers genuine and important data that will be the basis for the Fuzzy Logic Controller (FLC), which will be set up then. The Artificial Intelligence (which is presented by the fuzzy logic controller) role is to predict the optimal welded material parameters for any given resistance spot welding parameters, and to discover the probability of expulsion, failure, or breaking in the welding process before it takes place or happens, where in this study, the FLC predicted the optimum value of the maximum shear load for RSW, which occurs at the welding time=20 cycle and the welding current=8 KA, while the estimated optimum value of the Nugget Diameter by FLC for RSW is found at welding time=20 cycle and welding current=8 KA.This prediction will save the metal parts and the electrodes of welding, besides saving the cost and the effor

Fracture Resistance of computer aided endo-crowns versus conventional endo-supported computer aided full crowns

The purpose of the present study was to investigate the fracture resistance of computer aided endo-crowns versus conventional core-supported computer aided full crowns. Ninety human teeth were collected, 30 for each type (maxillary central incisors, maxillary 1st premolars and maxillary 1st molars). Specimens were divided into 3 groups (n=10) according to restoration used: 1) PC: Post-core and crown; 2) NC: Nayyar core and crown and 3) EC: Endo-crown. Each group was further subdivided into 3 subgroups according to the tooth used: I (Incisor), P (Premolar) and M (Molar). For group PC: Fiber post (Radix, Dentsply Maillefer) were cemented using resin cement (Calibra Dual Cure, Denstply Detrey GmbH). For group NC: 3 mm of gutta percha of every canal was removed. For groups PC and NC, after etching and bonding of root-face, transparent core former (Coltène/ Whaledent) was filled with SDR (Smart Dentine Replacement, Dentsply Detrey GmbH) and inverted onto root-face and cured. All specimens were individually scanned and thermocycled for 1000 cycles then submitted to compression test using universal testing machine (Instron 8874; Instron Corp.) Fracture was confirmed by sudden drop in load readings. Subgroup IPC scored the highest mean among group I and subgroup PNC scored the highest mean among group P. One-Way ANOVA detected significant differences among groups I and M with p\u3c 0.05 in I and M groups. Regarding P group, P-value was \u3e 0.05 indicating no significant differences among group. Endocrown showed the highest fracture resistance means in molars, while Nayyar core and crown showed the highest fracture resistance means in premolars. However, post-core and crown revealed the highest fracture resistance means in incisors