Full-Smart Intermittent Water Supply Monitoring, Managing, and Distributing System Based on IoT

Water supply scarcity has become a serious problem for many countries and cities, especially in the last few years when there has been less rain in many areas. So, managing, monitoring, and distributing the water supply and consumption of the people has become an urgent task for many local and national governments. Monitoring how the water is used by the population in different regions helps a lot in the more efficient management of the water supply, thus helping in solving the water scarcity problem. The proposed system includes continuous water level monitoring of wells and storage reservoirs in the city, as well as continuous monitoring of the daily water consumption needs of each household in each neighborhood based on a group of criteria such as the number of residents, the area of green space, and the temperature of the air. This is followed by a fair amount of water being automatically distributed at regular periods to each consumer based on the estimated total amount of water. This is done through smart water meters, remote actuation of valves, and remote water pumps based on IoT devices, which are all under the supervision of a web-based system. Moreover, an application has been developed for use by consumers so that they can monitor their water consumption, be informed about the next water distribution time and the amount of predicted water, check the water meter status, check the air in water pipes, and water bill inquiry and payment

Comparison of serum cystatin C and creatinine based methods in detection of early renal dysfunction in critically ill patients

Early detection of renal dysfunction is of importance inthe care of critically ill patients. Cystatin C was proposedto be superior to serum creatinine in estimation of renal function. This work aimed to compare serum cystatin Cto serum creatinine and creatinine based formulae indetection of early decline in renal function at a singlepoint in critically ill patients. Fifty critically ill patientsadmitted to Cairo University Hospitals ICUs - Egypt wereincluded. Patients with chronic renal disease,thyroid disease, malignancy, patients receivingcorticosteroid therapy, with serum creatinine > 1.4 mg/dland patients receiving diuretics or large volumes of IVfluids were excluded. Serum creatinine, serum cystatinC, adjusted creatinine clearance (Adj Ccr), estimatedGFR (eGFR) by modification of diet in renal disease(MDRD), abbreviated MDRD (abb MDRD) andCockcroft-Gault (CG) formulae were measured. Patientswith renal dysfunction (adj Ccr < 80 ml/min/1.73m2)were 26 (52%) in number. Patients with renaldysfunction and high serum creatinine were 12/26(46.2%) while those with high cystatin C were 23/26(88.5%). Cystatin C was found to be significantlycorrelated with serum creatinine, adj Ccr and eGFR by all studied formulae. Using receiver operatingcharacteristic (ROC) analysis; AUC for Cystatin C(0.976) was more than that for eGFR by abb MDRD(AUC=0.839), MDRD (AUC=0.822), CG formulae(AUC=0.808) and serum creatinine (AUC=0.710)respectively. In conclusion; cystatin C was found to bebetter than serum creatinine, eGFR by abb MDRD,MDRD and CG formulae in detection of early renaldysfunction at a single point in critically ill patients

Analysis of the distribution of heavy metals in the soils of Bagega mining area Zamfara state, Nigeria

Uncontrolled exploitation and degradation in the environment over the past few decades as the result of urbanization and poverty has caused a serious damage to lives and properties. The study analysed the spatial distribution of heavy metal (Fe, Cu and Zn) in Bagega, Zamfara state. Three mapping units were identified and samples were collected from the top soil (0-15cm) horizon using stratified random sampling techniques. These include the Mining Processing Environment (MPE), Residential exterior (RE) and Surrounding Farmlands (SF). In each mapping units, twelve (12) samples were collected randomly. Coordinates of all samples points were recorded using GPS. The soil sample were analyse for heavy metals using Atomic Absorption Spectrophotometer (AAS) and the result were recorded in Microsoft excel and later transformed into GIS environment in the Arc GIS 10.1 version. Krigging model was used for mapping the spatial distribution of the heavy metals in the study area. The result shows that there are more concentrations of heavy metals (Fe and Cu) in the Residential exterior (RE) and streams sites. The level of heavy metal in the soils of the area were below the acceptable toxic level of and this can be attributed to the number of years quarry activities in the study area have been in operation. The study concluded that Fe and Zn are more concentrated to the mining and river sites areas, while Cu is highly concentrated at the farmlands areas. The study recommends for continuous monitoring and mining should be avoided especially closer to the residential areas.Keywords: Spatial distribution, Mapping, Heavy metals, Bageg

Evolution of Patient Dose in Chest Radiotherapy Planning

Radiographic image has been used for patient positioning, target localization radiation beam alignment, and subsequent verification of treatment delivery in radiotherapy. Radiographic imaging as all medical use of ionizing radiation can give significant exposure to the patient. The aim of this study was to determine the radiological dose for chest imaging. Imaging dose during course of radiotherapy add dose to high therapeutic dose therefore this raises the issue of the balance between the benefit of these additional imaging exposures and the associated risk of radiation induced cancer arising from them. Therefore, estimation of imaging doses and possibility of its risk is necessary to provide adequate justification of this exposure. In this dissertation the main investigated type of the X-ray simulation were chest AP and PA, the total number of patients was 10 ( 62 radiographs). The fluctuation of the entrance surface dose (ESD) was relatively ranging from 0.35 micro;Gy to 8.43 micro;Gy for AP projection, and from 0.12 micro;Gy to 0.46 micro;Gy for PA projection. The mean values of ESD were found to be within guidance limits which was proposed in some countries (CEC 2004, and Germany 2003)

Biochemical Evaluation of some Natural Feed Additives against Dexamethasone-induced Metabolic Alterations in Rabbits

Glucocorticoid therapy is limited by numerous metabolic adverse effects associated with long term exposure to excess doses. Therefore, the present study aims to determine the possible protective effects of date palm and/or Saccharomyces cerevisiae probiotics on dexamethasone-induced metabolic changes in rabbits. 25 healthy male white New Zealand rabbits were grouped into group 1 (control), group 2 (2 mg/kg bw/day dexamethasone I/M), group 3 (0.5 g/kg/day date palm flesh+2 mg/kg bw/day dexamethasone I/M), group 4 (1g/kg/day S. cerevisiae probiotic + 2 mg/kg bw/day dexamethasone I/M), group 5 (date palm flesh + S. cerevisiae probiotic + dexamethasone at the aforementioned doses). Dexamethasone injection resulted in marked increases (p≤0.05) in hepatic MDA concentration and catalase activity, as well as significant decreases in hepatic GSH concentration and body weight gain. The serum levels of glucose, lipid profile (TG, cholesterol, VLDL, LDL/HDL risk ratio), and liver function biomarkers (serum total proteins, albumin, ALT, ALP) showed significant variations (P≤0.05) between control and dexamethasone treated group. The ameliorative effect of date palm fruit and/or probiotics (S. cerevisiae) was markedly indicated by restoration of these tested parameters to near normalcy. Therefore, the co-treatment with date or S. cerevisiae could be considered of great interest as potential feed additives for reduction of the adverse metabolic effects induced by dexamethasone in rabbits

Flavonoid-coated gold nanoparticles as efficient antibiotics against gram-negative bacteria—evidence from in silico-supported in vitro studies

Flavonoids are a class of bioactive plant-derived natural products that exhibit a broad range of biological activities, including antibacterial ones. Their inhibitory activity toward Gram-positive bacterial was found to be superior to that against Gram-negative ones. In the present study, a number of flavonoid-coated gold nanoparticles (GNPs) were designed to enhance the antibacterial effects of chrysin, kaempferol, and quercetin against a number of Gram-negative bacteria. The prepared GNPs were able to conjugate to these three flavonoids with conjugation efficiency ranging from 41% to 80%. Additionally, they were able to exert an enhanced antibacterial activity in comparison with the free flavonoids and the unconjugated GNPs. Quercetin-coated GNPs were the most active nano-conjugates and were able to penetrate the cell wall of E. coli. A number of in silico experiments were carried out to explain the conjugation efficiency and the antibacterial mechanisms of these flavonoids as follows: (i) these flavonoids can efficiently bind to the glutathione linker on the surface of GNPs via H-bonding; (ii) these flavonoids, particularly quercetin, were able to increase the bacterial membrane rigidity, and hence decrease its functionality; (iii) these flavonoids can inhibit E. coli’s DNA gyrase (Gyr-B) with IC(50) values ranging from 0.9 to 3.9 µM. In conclusion, these bioactive flavonoid-based GNPs are considered to be very promising antibiotic candidates for further development and evaluation

Prosopis juliflora leave extracts induce cell death of MCF-7, HepG2, and LS-174T cancer cell lines

Prosopis juliflora (P. juliflora) is a widespread phreatophytic tree, which belongs to the Fabaceae family. The goal of the present study is to investigate the potential anti-cancer effect of P. juliflora leave extracts and to identify its chemical composition. For this purpose, MCF-7 (breast), HepG2 (liver), and LS-174T (colorectal) cancer cell lines were cultivated and incubated with various concentrations of P. juliflora leave extracts, and its impact on cell viability, proliferation, and cell cycle stages was investigated. P. juliflora leave extracts induced concentration-dependent cytotoxicity against all tested cancer cell lines. The calculated IC50 was 18.17, 33.1 and 41.9 μg/ml for MCF-7, HePG2 and LS-174T, respectively. Detailed analysis revealed that the cytotoxic action of P. juliflora extracts was mainly via necrosis but not apoptosis. Moreover, DNA content flow cytometry analysis showed cell-specific anti-proliferative action and cell cycle stages arrest. In order to identify the anti-cancer constituents of P. juliflora, the ethyl extracts were analyzed by liquid chromatography-mass spectrometry. The major constituents identified in the ethyl extracts of P. juliflora leaves were hydroxymethyl-pyridine, nicotinamide, adenine, and poly-(methyl methacrylate) (PMMA). In conclusion, P. juliflora ethyl acetate extracts have a potential anti-cancer effect against breast adenocarcinoma, hepatocellular carcinoma, and colorectal adenocarcinoma, and is enriched with anti-cancer constituents

BCR-ABL Tyrosine Kinase Inhibitors as Candidates for the Treatment of COVID-19: Molecular Docking, Pharmacophore Modeling, ADMET Studies

The novel coronavirus pandemic (COVID-19) caused by SARS-CoV-2 has affected more than 53 million individuals worldwide. Currently, there is a dire need to develop or find potential drugs that can treat SARS-CoV-2 infection. One of the standard methods to accelerate drug discovery and development in pandemics is to screen currently available medications against the critical therapeutic targets to find potential therapeutic agents. The literature has pointed out to the 3CLpro and RdRp proteins as the most important proteins involved in viral replications. In the present study, we used an in-silico modeling approach to examine the affinity of six tyrosine kinases inhibitors (TKIs), Imatinib, Ponatinib, Nilotinib, Gefitinib, Erlotinib, and Dasatinibagainst the 3CLpro and RdRp by calculating the energy balance. The six tested TKIs had energy balance values of more than -7 Kcal/mol for both viral target proteins. Nilotinib and Ponatinib showed the highest affinity for 3CLpro (-8.32, -8.16, respectively) while Dasatinib, Ponatinib, and Imatinib presented the strongest binding toRdRp(-14.50, -10.57, -9.46, respectively). Based on these findings, we recommend future evaluations of TKIs for SARs-CoV-2 infection in-vitro and further testing in clinical trials

DESIGN, SYNTHESIS AND COX1/2 INHIBITORY ACTIVITY OF NEW QUINAZOLINE-5-ONE DERIVATIVES

A new series of 1-(4-Acetylphenyl)-7,7-dimethyl-3-(substitutedphenyl)-1,2,3,4,7,8-octahydroquinazolin-5(6H)-ones (6-15) were synthesized and tested against COX-1 and COX-2 enzymes. Those compounds exhibited strong interaction at the COX-2 binding site and poor interaction at the COX-1 active site. Subjected to in vitro cyclooxygenase COX-1/COX-2 inhibition assay; most of the compounds especially compounds 6, 7, 12, 13, and 16 exhibited potent anti-inflammatory effects, selective COX-2 inhibition, with half-maximal inhibitor concentration (IC50) values of 0.22–1.42 μM and selectivity index (SI) values of 6.16–14.18 compared with celecoxib (IC50 = 0.05 μM and COX-2 SI: 296), diclofenac (IC50 = 0.8 μM and COX-2 SI: 4.87), and indomethacin (IC50 = 0.49 μM and COX-2 SI: 0.08) as reference drugs. Docking study has been carried out to confirm the binding affinity and selectivity of the most active compound (compound 6) to COX-2 enzyme