cis-Dimethyl­bis(triphenyl­arsine)platinum(II)

In the title compound, [Pt(CH3)2(C18H15As)2], the PtII atom adopts a distorted cis-PtAs2C2 square-planar coordination geometry. In the crystal, mol­ecules inter­act via aromatic π–π stacking inter­actions [centroid–centroid separation = 3.6741 (18) Å]

TOPSIS Approach for Solving Bi-Level Non-Linear Fractional MODM Problems

TOPSIS (technique for order preference similarity to ideal solution) is considered one of the known classical multiple criteria decision making (MCDM) methods to solve bi-level non-linear fractional multi-objective decision making (BL-NFMODM) problems, and in which the objective function at each level is considered nonlinear and maximization type fractional functions. The proposed approach presents the basic terminology of TOPSIS approach and the construction of membership function for the upper level decision variable vectors, the membership functions of the distance functions from the positive ideal solution (PIS) and of the distance functions from the negative ideal solution (NIS). Thereafter a fuzzy goal programming model is adopted to obtain compromise optimal solution of BL-NFMODM problems. The proposed approach avoids the decision deadlock situations in decision making process and possibility of rejecting the solution again and again by lower level decision makers. The presented TOPSIS technique for BL-NFMODM problems is a new fuzzy extension form of TOPSIS approach suggested by Baky and Abo-Sinna (2013) (Applied Mathematical Modelling, 37, 1004-1015, 2013) which dealt with bi -level multi-objective decision making (BL-MODM) problems. Also, an algorithm is presented of the new fuzzy TOPSIS approach for solving BL-NFMODM problems. Finally, an illustrative numerical example is given to demonstrate the approach

Antibiotic Resistant Genes in Multidrug-Resistant Extended-Spectrum β-lactamase-Producing E. coli Isolated from Children's Samples

Antimicrobial resistance was declared by the World Health Organization (WHO) in 2014 as the greatest threat for human and veterinary medicine.The development of resistance in E. coli may be due to haphazard use of antibiotics, plasmid-mediated genes,i.e. blaCTX-M, blaSHV, blaOXA. This work was aimed to detect the antibiotic resistant genes in multidrug-resistant extended-spectrum β-lactamase-producing E. coli from samples of children. 90 samples from chidren were collected. blaTEM, blaSHV, blaOXA, blaCTX-M and blaVEB resistance genes in drug-resistant E. coli were investigated. The blaTEM, blaSHV and blaCTX genes were detected in E.coli isolates. blaTEM genes were found to be in all isolates. The blaSHV gene was detected in 14.28% of the isolates. The blaCTX-M gene was detected in 71.42% of the isolates blaOXA and blaVEB genes were not detected in any sample.The resistant genes sequences of the E.coli isolates from urine, blood, skin ande ndotracheal tube were deposited in the DDBJ/EMBL/GenBank nucleotide sequence databases.The resistance genes sequences of the Escherichia isolates are greatest closely associated to those of Escherichia coli

Prevalence of Legionella among pneumonia patients and environmental water samples in an Egyptian University Hospital

AbstractObjectives: to diagnose Legionella infection in community- acquired pneumonia (CAP) cases admitted to chest department of Zagazig University Hospital and in hospital- acquired pneumonia (HAP) patients hospitalized in the emergency and surgery ICU, to determine incidence of these disease condition and to identify risk factors. Another objective was to determine the occurrence of Legionella genus in the water of these departments.Subjects and methods: one hundred pneumonic patients; 50 patients with CAP and 50 with HAP were the subject of this laboratory-based, comparative cross sectional study. Full clinical history and lower respiratory tract specimens were collected from each patient. Water samples were taken from 25 water outlets. DNA was extracted by QIAamp DNA Mini Kit, and real time PCR amplification of 16s r-RNA gene was used for diagnosis of Legionella genus. Risk factors were analyzed by logistic regression analysis.Results: Legionella genus was identified in eight out of 50 patients of CAP (16%), and ten out of 50 patients with HAP (20%). As regards CAP, Legionella was prevalent in old- age, smoker males, with diabetes mellitus (DM) and/or chronic obstructive pulmonary disease (COPD). Gastrointestinal tract (GIT) and neurological manifestations were the main presentations. Seventy-five percent needed ICU admission. Concerning HAP, hospitalization for more than ten days and having a stroke or head trauma were significant risk factors. Ten out of the 25 water samples tested were positive for Legionella genus; seven samples were from the chest department and three were from emergency ICU. No water-contamination with Legionella was found in the surgery ICU.Discussion: diagnosis of Legionella should be considered for both CAP and HAP in our locality. Periodic surveillance for detection of that genus with subsequent disinfection of water sources when indicated should be carried out

Mud Loss Estimation using Machine Learning Approach

Lost circulation costs are a significant expense in drilling oil and gas wells. Drilling anywhere in the Rumaila field, one the world\u27s largest oilfields, requires penetrating the Dammam formation, which is notorious for lost circulation issues and thus a great source of information on lost circulation events. This paper presents a new, more precise model to predict lost circulation volumes, equivalent circulation density (ECD), and rate of penetration (ROP) in the Dammam formation. A larger data set, more systematic statistical approach, and a machine-learning algorithm have produced statistical models that give a better prediction of the lost circulation volumes, ECD, and ROP than the previous models for events. This paper presents the new model, validates the key elements impacting lost circulation in the Dammam formation, and compares the predicted outcomes to those from the older model. The work previously presented by Al-Hameedi et al. (http://www.onepetro.org, 2017a; http://www.AADE.org, 2017b) provided a platform for predicting the severity of lost circulation incidents in the Dammam formation. Using the new models, the predictions closely track actual field incidents of lost circulation. When new lost circulation events were compared with predictions from the old and new models, the new model presented a much tighter prediction of events. Three equations for optimizing operations were developed from these models focusing on the elements that have the highest degree of impact. The total flow area of the nozzles was determined to be a significant factor in the ROP model indicating that nozzle size should be chosen carefully to achieve optimal ROP. Good modeling of projected lost circulation events can assist in evaluating the effectiveness of new treatments for lost circulation. The Dammam formation is a significant source of lost circulation in a major oilfield and warrants evaluation of the effectiveness of lost circulation treatments. These techniques can be applied to other fields and formations to better understand the economic impact of lost circulation and evaluate the effectiveness of various lost circulation mitigation efforts

Mandibular Sexual Dimorphism Analysis in CBCT Scans in a Syrian Sample

Objectives: This study aimed to develop metrical and angular indices to predict the sex of unknown skeletonized human remains in Syria using the mandibular bone. Material and Methods: The sample consisted of 99 CBCT scans of the Syrian population (43 males, 56 females) aged between 18-25 years. The collected CBCT images were analyzed on two occasions and by two examiners to test the reliability of measurements. Four measurements were analyzed to be used for sexual prediction analysis as following: Coronoid-Gonion length (the distance between Gonion and the highest lateral point on the Coronoid process (, minimum ramus breadth, Gonial angle, and Bigonial width. Results: All the aforementioned measurements showed significant statistical sex-related differences. The Bigonial width showed the highest difference with (P < 0.01 _ mean: 95.17 ± 6.45 mm for males, 86.84 ± 4.81 mm for females), followed by the gonial angle (P<0.01_ mean: 127.11º ± 7.87º for males, 131.52º ± 6.08º for females). Coronoid-gonion length (P < 0.01 _ mean: 58.61 ± 6.78 mm for males, 53.97 ± 5.26 mm for females) and minimum ramus breadth (P < 0.01 _ mean: 29.63 ± 2.90 mm for males, 27.89 ± 2.73 mm for females). specificity and sensitivity for the four indices derived function were 79 % and 80 % respectively and the diagnostic accuracy was 79.6 %. Conclusions: The present study suggested that the sex of mandible in Syrian population could be assessed using metrical and angular measurements which considered as an additional tool for sex identification

Taenia multiceps coenurosis in Tanzania: a major and under-recognised livestock disease problem in pastoral communities

A neurological syndrome of small ruminants, known locally as ‘ormilo’, has been reported among pastoralist livestock keepers in Tanzania. This study was carried out in four affected pastoral communities to determine the prevalence and associated risk factors, characterise the clinical signs and investigate the aetiology of the syndrome. Questionnaires were administered at all households (n=480) within four study villages. Overall, 94 per cent of households reported at least one case in the previous 12 months. By village, the individual-level 12-month period prevalence ranged from 11 per cent to 34 per cent, equivalent to about 10,000 small ruminants across the four villages. Thirty-eight households were randomly selected for further investigation. Proprioceptive deficits and weakness were the most commonly observed clinical signs in affected animals. Brain and spinal cord cysts consistent with Taenia multiceps infection were detected in 32 (82 per cent) of 39 affected animals selected for postmortem examination. Feeding small ruminant brains to dogs was identified as an important risk factor for the syndrome, even in households that did not own dogs. This study confirms cerebral coenurosis as a major cause of small ruminant neurological disease in northern Tanzania and highlights the urgent need for further investigation to quantify the disease burden and to identify and implement control measures

Nonalcoholic Fatty Liver Disease and the Risk of Atrial Fibrillation

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is now the factor behind the development of liver cirrhosis, liver cell failure, and liver transplantation in many cases. However, its relation to atrial fibrillation (AF) could not be cleared up. AIM: The purpose of the study was to evaluate prevalence of AF in the setting of NAFLD; the association between them, and to evaluate risk factors of AF in this category of patients. METHODS: This cross-sectional study was performed on 400 patients between January 2018 and June 2019. These patients were analyzed for the presence of NAFLD and presence of persistent or chronic AF. RESULTS: There were 138 patients with NAFLD, and 20 patients with persistent or permanent AF. Factors associated with AF were old age, male gender, and high values of aspartate aminotransferase, alanine-aminotransferase, γ-glutamyltranspeptidase, and serum uric acid. The participants with AF had a significantly greater prevalence of NAFLD than those without AF. CONCLUSION: Incidence and prevalence of atrial fibrillation in NAFLD patients were high. Severity of liver disease was an important predictor of new-onset atrial fibrillation