Lung Cancer Detection Using Artificial Neural Network

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy

Web Application for Generating a Standard Coordinated Documentation for CS Students’ Graduation Project in Gaza Universities

The computer science (CS) graduated students suffered from documenting their projects and specially from coordinating it. In addition, students’ supervisors faced difficulties with guiding their students to an efficient process of documenting. In this paper, we will offer a suggestion as a solution to the mentioned problems; that is an application to make the process of documenting computer science (CS) student graduation project easy and time-cost efficient. This solution will decrease the possibility of human mistakes and reduce the effort of documenting process

Palladium Nanoparticles Supported on Ce-Metal–Organic Framework for Efficient CO Oxidation and Low-Temperature CO2 Capture

In this article, we report the lowest-temperature CO oxidation catalyst supported on metal–organic frameworks (MOFs). We have developed a facile, general, and effective approach based on microwave irradiation for the incorporation of Pd nanoparticle catalyst within Ce-MOF. The resulting Pd/Ce-MOF material is a unique catalyst that is capable of CO oxidation at modest temperatures and also of efficient uptake of the product CO2 gas at low temperatures. The observed catalytic activity of this material toward CO oxidation is significantly higher than those of other reported metal nanoparticles supported on MOFs. The high activity of the Pd/Ce-MOF catalyst is due to the presence of Ce(III) and Ce(IV) ions within the metal–organic framework support. The Pd nanoparticles supported on the Ce-MOF store oxygen in the form of a thin palladium oxide layer at the particle–support interface, in addition to the oxygen stored on the Ce(III)/Ce(IV) centers. Oxygen from these reservoirs can be released during CO oxidation at 373 K. At lower temperatures (273 K), the Pd/Ce-MOF has a significant CO2 uptake of 3.5 mmol/g

Suggestions to Enhance the Scholarly Search Engine: Google Scholar

The scholarly search engine Google Scholar (G.S.) has problems that make it not a 100% trusted search engine. In this research, we discussed a few drawbacks that we noticed in Google Scholar, one of them is related to how does it perform (add articles) option for adding new articles that are related to the registered researchers. Our suggestion is an attempt for making G.S. more efficient by improving the searching method that it uses and finally having trusted statistical results

Efficacy and safety of misoprostol for intrauterine device insertion in women with no previous vaginal delivery: a systematic review and meta-analysis of randomized controlled trials

Introduction: The efficacy of misoprostol use for cervical priming before intrauterine device insertion (IUD) is controversial. This review aims to evaluate the evidence from published randomized controlled trials about the efficacy and safety of misoprostol before IUD insertion for pain relief in women with no previous vaginal delivery. Materials and methods: We searched the following electronic databases: Web of Science, Cochrane CENTRAL, SCOPUS, and PubMed for relevant studies using the following Mesh terms: (misoprostol) AND (intrauterine device OR IUD). The primary outcome was the mean pain score during insertion. Secondary outcomes included the ease of insertion score, the rate of successful IUD insertion, the rate of IUD insertion failure, and the adverse effects. Results: Ten randomized controlled trials (RCTs) (misoprostol: n=698 and placebo: n=689) were pooled in the analysis. The overall Standardized Mean Difference (SMD) of pain score did not favor either of the two groups (SMD= -0.09, 95%CI [-0.50, 0.33], p=0.007). Pooled results were highly heterogeneous (I2=93%, P<0.001). The total MD of the ease of insertion score favored the misoprostol group (MD= -1.36, 95% CI [-2.20, -0.52], p =0.002). The overall risk ratio (RR) of the number of failed insertions showed that misoprostol is associated with less IUD insertion failures compared to placebo (RR=0.55, 95% CI [0.38, 0.81], p=0.002). Finally, the overall risk showed that misoprostol is associated with more shivering, diarrhea and pelvic pain. Conclusions: Misoprostol facilitates IUD insertion in women with no previous vaginal delivery, and is associated with 50% less chance for IUD insertion failure despite inducing mild adverse effect

NUMERICAL INVESTAGATION OF GAS-SOLID SUSPENSION FLOW IN 180 o CURVED DUCT

ABSTRACT In this paper, a two-way coupling EulerianLagrangian approach is presented for the simulation of gassolid two-phase flow in 180 o curved duct. In the present study, Reynolds averaged Navier-Stokes equations (RANS) and two turbulence models namely; standard k-ε model and RNG (Renormalization Group) based k-ε model are adopted. The effects of particle rotation and lift forces are included in the particle tracking model while the effect of inter-particle collisions is neglected. The present predictions are compared with published experimental data for single-phase flow and published particles trajectories. The comparisons show that the RNG based k-ε model predicts the flow behaviour better than the standard k-ε model. Furthermore, the particles trajectories are compared very well with published data. The effects of inlet gas velocity, bend geometry, loading ratio and solid properties on the flow behaviour are also discussed. The results show that the flow behaviour is greatly affected by the above parameters

Efficacy and safety of Elagolix in the treatment of endometriosis associated pain: a systematic review and network meta-analysis

Background: Endometriosis commonly presents with dysmenorrhea, non-menstrual pelvic pain, and infertility. Elagolix is an oral, short-acting, gonadotropin-releasing hormone antagonist acting through complete estrogen suppression. Objective: To evaluate the evidence from published randomized controlled trials (RCTs) about the efficacy and safety of Elagolix in the treatment of endometriosis associated pain. Search strategy: Electronic databases containing articles published between January 2000 and February 2020 were searched using the MeSH terms (Elagolix OR gonadotropin-releasing hormone antagonist OR GnRH antagonist OR antigonadotropin) AND (endometriosis) AND (pelvic pain). Selection criteria: All RCTs assessing the efficacy of Elagolix in the treatment of pain associated with endometriosis were considered for this network meta-analysis, where five studies were deemed eligible for this review. Data collection and analysis: The mean difference (MD) and confidence intervals (95% CI) for continuous outcomes including analgesic use, dysmenorrhea, non-menstrual pelvic pain, and quality of life were calculated. Main results: Elagolix 250 mg reduced dysmenorrhea significantly, as compared to placebo, (MD = -0.41, 95% CI [-0.7, -0.13]) at 12 weeks, while Elagolix 200 mg reduced dysmenorrhea significantly (MD= -1.2, 95% CI [-1.9, -0.57]) compared to placebo after 24 weeks of treatment. Conclusions: Elagolix 200 mg seems to be an effective drug with fewer side effects when used to reduce dysmenorrhea and non-menstrual pelvic pain after 24 weeks of treatment in patients with endometriosis

Exploring the binding sites of Staphylococcus aureus phenylalanine tRNA synthetase: A homology model approach

Increased resistance of MRSA (multidrug resistance Staphylococcus aureus) to anti-infective drugs is a threat to global health necessitating the development of anti-infectives with novel mechanisms of action. Phenylalanine tRNA synthetase (PheRS) is a unique enzyme of the aminoacyl-tRNA synthetases (aaRSs), which are essential enzymes for protein biosynthesis. PheRS is an (αb)2 tetrameric enzyme composed of two alpha subunits (PheS) and two larger beta subunits (PheT). Our potential target in the drug development for the treatment of MRSA infections is the phenylalanine tRNA synthetase alpha subunit that contains the binding site for the natural substrate. There is no crystal structure available for S. aureus PheRS, therefore comparative structure modeling is required to establish a putative 3D structure for the required enzyme enabling development of new inhibitors with greater selectivity. The S. aureus PheRS alpha subunit homology model was constructed using Molecular Operating Environment (MOE) software. Staphylococcus haemolyticus PheRS was the main template while Thermus thermophilus PheRS was utilised to predict the enzyme binding with tRNAphe. The model has been evaluated and compared with the main template through Ramachandran plots, Verify 3D and Protein Statistical Analysis (ProSA). The query protein active site was predicted from its sequence using a conservation analysis tool. Docking suitable ligands using MOE into the constructed model were used to assess the predicted active sites. The docked ligands involved the PheRS natural substrate (phenylalanine), phenylalanyl-adenylate and several described S. aureus PheRS inhibitors