Total Quality Management Benefits and Barriers in Construction Industry

The building sector is playing an important part Major factor in any country's development. The Construct industry growth depends on Building project efficiency. Quality is one thing Important factor in construction industry success in this paper the problems of quality definition in the construction industry are discussed, analysis potential advantages of quality implementation and considers quality barriers to Building implementation. Many implementing obstacles. We identify recent patterns that could lead to the Invade barriers. However, the various building actors must Know that improvement is necessary for the construction industry to improve quality TQM is specifically designed to deliver excellence in customer satisfaction by continual improvement full participation of product and processes every person who is a part of dedication that product/process. It's an orchestrated approach enhancement. If implemented correctly, it will support the Company of construction to boost its efficiency

A neural network model for estimation soil temperature bases on limited meteorological parameters in selected provinces in Iraq

Soil temperature is an important meteorological variable which plays a significant role in hydrological cycle. In present study, artificial intelligence technique employed for estimating for 3 daysa head soil temperature estimation at 10 and 20 cm depth. Soil temperature daily data for the period 1 January 2012 to 31 December 2013 measured in three stations namely (Mosul, Baghdad and Muthanna) in Iraq. The training data set includes 616 days and the testing data includes 109 days. The Levenberg-Marquardt, Scaled Conjugate Gradient and Bayesian regularization algorithms. To evaluate the ANN models, Root mean square error (RMSE), Mean absolute error (MAE), Mean absolute percentage error (MAPE) and Correlation Coefficient (r) were determined. According to the four statistical indices were calculated of the optimum ANN model, it was ANN model (3) in Muthanaa station for the depth 10 cm and ANN model (3) in Baghdad station for the depth 20 were (RMSE=0.959oC, MAE=0.725, MAPE=4.293, R=0.988) and (RMSE=0.887OC, MAE=0.704, MAPE=4.239, R=0.993) respectively, theses statistical criteria shown the efficiency of artificial neural network for soil temperature estimation

Modeling of Groundwater Recharge by Rainwater Harvesting-Wadi Bayer (Case Study)

Wadi Bayer is one of Jordan's desertic areas with very low precipitation and limited water resources. It is a typical example of the Jordanian water scarcity chronic condition. Groundwater recharging strategy is one of the long-term solutions of such water scarcity problem due to harsh climatic conditions and high evaporation rate. The groundwater resources in the area are utilized by the Bedoins for their domestic and cattles' uses. The groundwater is abstracted through three shallow wells drilled in the course of Wadi Bayer. The limited amount of the groundwater in the area is attributed to the limited natural recharge through the wadi bed during the occurrence of floods. In this study, a location of recharging dike was proposed at a distance of 150-200 m to the south-west of the existing wells, its reservoir area was estimated by 0.0285% of the catchment area of Wadi Bayer, which reflects the rare runoff occurrence. A home-made spread sheet model and an HEC-HMS model were used in order to estimate the surface runoff. The alluvium deposits and Rijam formation are the only rock unit groupings in the study area. The permeability of the topmost 2 meters, which form the floor of the reservoir, is 11.82*10-2 cm/sec. The top soil column was tested for permeability in the lab through test pit excavation. Seven boreholes were drilled in the site with different depths ranging from 5 to15m, the permeability test was conducted for different depths, ranging between 7.331* 10-6 and 1.805*10-3. A groundwater model was run using Processing Mode Flow software to indicate the natural recharge in the area due to the filling of the reservoir from flood water, for 30 day- and 15 day- retention periods. It was found that the groundwater table will rise in the range of 0.33 to 1.5 m and 0.11 to 0.90 m for both retention periods, respectively

In Vivo Study of CORAGRAF: A Preliminary Results.

Natural coral is a bone graft substitute, which has been widely used' in maxillofacial, orthopaedic, ORL and periodontal surgery

Genomic based analysis of the biocontrol species Trichoderma harzianum : a model resource of structurally diverse pharmaceuticals and biopesticides

Fungi represents a rich repository of taxonomically restricted, yet chemically diverse, secondary metabolites that are synthesised via specific metabolic pathways. An enzyme’s specificity and biosynthetic gene clustering are the bottleneck of secondary metabolite evolution. Trichoderma harzianum M10 v1.0 produces many pharmaceutically important molecules; however, their specific biosynthetic pathways remain uncharacterised. Our genomic-based analysis of this species reveals the biosynthetic diversity of its specialised secondary metabolites, where over 50 BGCs were predicted, most of which were listed as polyketide-like compounds associated clusters. Gene annotation of the biosynthetic candidate genes predicted the production of many medically/industrially important compounds including enterobactin, gramicidin, lovastatin, HC-toxin, tyrocidine, equisetin, erythronolide, strobilurin, asperfuranone, cirtinine, protoilludene, germacrene, and epi-isozizaene. Revealing the biogenetic background of these natural molecules is a step forward towards the expansion of their chemical diversification via engineering their biosynthetic genes heterologously, and the identification of their role in the interaction between this fungus and its biotic/abiotic conditions as well as its role as bio-fungicide

Naturally occurring terpenes : a promising class of organic molecules to address influenza pandemics

Since the olden times, infectious diseases have largely affected human existence. The newly emerged infections are excessively caused by viruses that are largely associated with mammal reservoirs. The casualties of these emergencies are significantly influenced by the way human beings interact with the reservoirs, especially the animal ones. In our review we will consider the evolutionary and the ecological scales of such infections and their consequences on the public health, with a focus on the pathogenic influenza A virus. The nutraceutical properties of fungal and plant terpene-like molecules will be linked to their ability to lessen the symptoms of viral infections and shed light on their potential use in the development of new drugs. New challenging methods in antiviral discovery will also be discussed in this review. The authors believe that pharmacognosy is the “wave of future pharmaceuticals”, as it can be continually produced and scaled up under eco-friendly requirements. Further diagnostic methods and strategies however are required to standardise those naturally occurring resources

Development of selective, ultra-fast multiple co-sensitization to control dye loading in dye-sensitized solar cells

Enhancing the spectral response of dye-sensitized solar cells (DSC) is essential to increasing device efficiency and a key approach to achieve this is co-sensitization (i.e. the use of multiple dyes to absorb light from different parts of the solar spectrum). However, precise control of dye loading within DSC mesoporous metal oxide photo-anodes is non-trivial especially for very rapid processing (minutes). This is further complicated by dyes having very different partition (Kd) and molar extinction (ε) coefficients which strongly influence dye uptake and spectral response, respectively. Here, we present a highly versatile, ultra-fast (ca. 5 min) desorption and re-dyeing method for dye-sensitized solar cells which can be used to precisely control dye loading in photo-electrode films. This method has been successfully applied to re-dye, partially desorb and re-dye and selectively desorb and re-dye photo-electrodes using examples of a Ru-bipy dye (N719) and also organic dyes (SQ1 and D149) giving η up to 8.1% for a device containing the organic dye D149 and re-dyed with the Ru dye N719. The paper also illustrates how this method can be used to rapidly screen large numbers of dyes (and/or dye combinations) and also illustrates how it can also be used to selectively study dye loading

The Problems of Students with Learning Difficulties and Their Relationship to Some Variables: A Field Study in the Emirates of Dubai and Sharjah

The study aims to identify the problems of students with learning difficulties from the point of view of their teachers according to multiple domains and determine the level of the prevalence of the difficulties among the sample group in relation to the variables of the study (gender, educational experience, educational stage, emirate) from the viewpoint of their teachers. Also, determine the order of the emergence of these problems among the sample study, and the significance of the differences in these problems are known according to the study variables. To achieve these goals, the researchers prepared a scale to measure these problems that included three areas: (social, psychological, and academic). The sample of the study consisted of (65) male and female teachers; They were selected as a purposive sample. The results showed that the level of prevalence of problems was moderate and that the order of problems among the sample study was as follows: social problems first, then psychological problems, and finally academic problems. The results also showed that there are no statistically significant differences in the problems of students with learning difficulties from the point of view of their teachers, according to the study variables: gender, educational experience, and educational stage. As for the emirate, there were differences in the academic and psychological dimensions in favor of the emirate of Dubai, and these differences did not appear in the dimension of social problems