Biochemical,hematological, and pathological related healing effects of Elaeagnus angustifolia hydroalcoholic extract in 5-fluorouracil-induced oral mucositis in male golden hamster

Oral mucositis (OM) is one of the cancer chemotherapy-related side effects which can affect the quality of life of affected patients. This study was designed to investigate the healing effect of Elaeagnus angustifolia in 5-flurouracil (5-FU)-induced OM in golden hamster. Fifty-six adult male golden hamsters received three intraperitoneal injections of 5-FU at a dose of 60 mg/kg on days 0, 5, and 10. The cheek pouch mucosa was scratched superficially under local anesthesia. Then, two horizontal scratches were made across the everted cheek pouch on days 3 and 4. All treatments were started on day 12 for equal number of animals in control group with no treatments, gel base group that was treated with carboxy methyl cellulose as gel base which used in preparation of the topical gel, topical gel group that used gel containing 10% hydroalcoholic extract of E. angustifolia (HEEA) topically, and dietary group which was treated with 300 mg/kg HEEA. At 2 and 5 days after treatment, blood and pouch tissue sampling were done and analyzed for blood composition, tissue malondialdehyde (MDA) level, and myeloperoxidase (MPO) and superoxide dismutase (SOD) activities plus histopathological evaluations. Both topically and orally HEEA-treated groups showed a significant relief in OM compared to the control and base gel groups. However, the systemic form had higher efficiency in some parts especially decreasing the MPO (0.27 ± 0.17 vs. 0.56 ± 0.17 IU/L) and increasing SOD (6.46 ± 0.15 vs. 5.36 ± 0.18 IU/L) activities in pouch tissue in comparison to topical form mostly at 5 days after treatment. It seems that hydroalcoholic extract of E. angustifolia can be used as an appropriate drug choice for the treatment of oral mucositis based on its healing stimulatory and anti-inflammatory properties.

     

An adaptive neural network algorithm for assessment and improvement of job satisfaction with respect to HSE and ergonomics program: The case of a gas refinery

Researchers have been continuously trying to improve human performance with respect to Health, Safety and Environment (HSE) and ergonomics (hence HSEE). This study proposes an adaptive neural network (ANN) algorithm for measuring and improving job satisfaction among operators with respect to HSEE in a gas refinery. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and job satisfaction is used as output for the ANN algorithm. Moreover, ANN is used to rank operators performance with respect to HSEE and job satisfaction. Finally, Normal probability technique is used to identify outlier operators. Moreover, operators with inadequate job satisfaction with respect to HSEE are identified. This would help managers to see if operators are satisfied with their jobs in the context of HSEE. This is the first study that introduces an integrated ANN algorithm for assessment and improvement of human job satisfaction with respect to HSEE program in complex systems.     

Use of lignin degrading fungi in bioremediation

The use of lignin degrading fungi for decomposition of a wide variety of xenobiotics has become an area of intensive research. One distinct advantage of lignin degrading fungi over bacteria is that they do not require preconditioning to a particular pollutant prior to transformation. This degradative ability has been attributed to a nonspecific and nonstereoselective extracellular lignin-degrading enzymatic system (ligninase) which is induced by the fungi under nitrogen or carbon-limiting conditions (Reid, 1979). Ligninases (lignin-peroxidases) are responsible for the initial oxidative attack on lignin and other complex molecules via formation of a free radical thereby leading to depolymerization of complex molecular structures. Potential degradative ability of peroxidases may extend to include (1) sorbed contaminants, (2) high molecular-weight, hydrophobic contaminants, and (3) complex mixtures of chemicals typical of a contaminated site.     

Groundwater Vulnerability Assessment Using Fuzzy Logic: A Case Study in the Zayandehrood Aquifers, Iran

Groundwater is an important source of water, especially in arid and semi-arid regions where surface water is scarce. Groundwater pollution in these regions is consequently a major concern, especially as pollution control and removal in these resources are not only expensive but at times impossible. It is, therefore, essential to prevent their contamination in the first place by properly identifying vulnerable zones. One method most commonly used for evaluating groundwater pollution is the DRASTIC method, in which the Boolean logic is used to rank and classify the parameters involved. Problems arise, however, in the application of the Boolean logic. In this paper, the fuzzy logic has been used to avoid the problems. For this purpose, three critical cases of minimum, maximum, and mean values have been considered for the net recharge parameter. The process has been performed on the Zayandehrood river basin aquifers. The fuzzy-DRASTIC vulnerability map thus obtained indicates that the western areas of the basin generally have the maximum pollution potential followed by the areas located in the east. The central parts of the study area are found to have a low pollution potential. Finally, two sensitivity analyses are performed to show the significance of each value of the net recharge parameter in the calculation of vulnerability index.     

An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability—case study: Offshore industry

Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability–safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.     

Risk assessment for the daily intake of polycyclic aromatic hydrocarbons from the ingestion of cockle （Anadara granosa） and exposure to contaminated water and sediments along the west coast of Peninsular Malaysia

The concentration of carcinogenic polycyclic aromatic hydrocarbons (c-PAHs) present in the sediment and water of Peninsular Malaysia as well as in the cockle Anadara granosa was investigated. Samples were extracted and analysed with gas chromatographymass spectrometry. The concentrations of total carcinogenic polycyclic aromatic hydrocarbons (t-PAHs) were measured between 0.80 0.04 to 162.96 14.74 ng/g wet weight (ww) in sediment, between 21.85 2.18 to 76.2 10.82 ng/L in water samples and between 3.34 0.77 to 46.85 5.50 ng/g ww in the cockle tissue. The risk assessment of probable human carcinogens in the Group B2 PAHs was calculated and assessed in accordance with the standards of the United States Environmental Protection Agency (US EPA). Case I in the toxicity assessment analysed the cancer risk to consumers of Malaysian blood cockle. Case II assessed the risk of cancer from exposure to PAHs from multiple pathways. The average cancer risk of case I and case II were found to be classifiable as unsafe according to the US EPA standard. The cancer risk due to c-PAHs acquired by the ingestion of blood cockle was (8.82 0.54) 10??6 to (2.67 0.06) 10??2, higher than the US EPA risk management criterion. The non-cancer risks associated with multiple pathways in Kuala Gula, Kuala Juru and Kuala Perlis were higher than the US EPA safe level, but the non-cancer risk for eating blood cockle was below the level of US EPA concern.