Erythropoietin and Anaemia in Patients with Chronic Renal Failure

Hyporegenerative anaemia is common complication of chronic renal failure CRF and responsible for fatigue and reduced general  health condition among uremic patient. The main causes of anemia among patients with chronic renal failure are deficient production of erythropoietin (EPO), iron deficiency, and chronic disease with endogenous EPO resistance. This study confirmed on patients with chronic renal failure in Merjan Teaching Hospital and highlighted on the relationship between anaemia and erythropoiten level. The estimation of hemoglobin among patients with CRF revealed that 55% of patients suffered from severe anaemia and 45%suffered from moderate anaemia      Erythropoiten level estimated by ELISA technique and mean and standard deviation of erythropoietin level among patients and control groups were12.2 uU/ml ± 2.6, 7.3uU/ml± 1.8 respectively and comparism mean of erythropoietin between patients and control group   was indicated that there is significant difference between two groups at p value< 0.05 By study the correlation between hemoglobin and erythropoietin revealed that there is inverses relation ship between hemoglobin and erythropoietin , we concluded from this study although the level of erythropoietin increase in patients with CRF but the level of erythropoietin are not enough foe correction of anaemia and patient may required for exogenous source for erythropoietin with iron supplement in management of anaemia Keywords: erythropoiten Hyporegenerative anaemi

Noise Level in Textile Industries: Case Study Al-Hillah Textile Factory-Company for Textile Industries, Al-Hillah-Babylon-Iraq

In this study, Al-Hillah Textile Factory, in Al-Hillah city-Iraq follows to State Company for Textile Industries was selected to study the intensity of noise in 2014. Measurements of the noise level were carried out in different workshops for each of the production stages including the spinning machinery workshop (parts 1 and 2), the rotating machinery room, the preparations room, and the textile machinery room (Roti model), weaving machines: Techmash model room Russian-made model room, Sheets' machinery room, and operator machines room; using two noise meters (model 2237 Fulfici). Fifty samples were collected in each part of these rooms to give realistic results for the noise level. After recording the noise level data, the highest and lowest values and the average of noise intensity readings were calculated in each of the rooms and compared with the global standards permitted by the EPA for industrial facilities. The results of this study showed that the general rate of noise intensity in all rooms exceeded the permissible limits, which impose a noise level of 65-70dB for such industrial establishments according to EPA recommendations in 2008

Development of a Large-Scale Integrated Neurocognitive Architecture Part 1: Conceptual Framework

The idea of creating a general purpose machine intelligence that captures many of the features of human cognition goes back at least to the earliest days of artificial intelligence and neural computation. In spite of more than a half-century of research on this issue, there is currently no existing approach to machine intelligence that comes close to providing a powerful, general-purpose human-level intelligence. However, substantial progress made during recent years in neural computation, high performance computing, neuroscience and cognitive science suggests that a renewed effort to produce a general purpose and adaptive machine intelligence is timely, likely to yield qualitatively more powerful approaches to machine intelligence than those currently existing, and certain to lead to substantial progress in cognitive science, AI and neural computation. In this report, we outline a conceptual framework for the long-term development of a large-scale machine intelligence that is based on the modular organization, dynamics and plasticity of the human brain. Some basic design principles are presented along with a review of some of the relevant existing knowledge about the neurobiological basis of cognition. Three intermediate-scale prototypes for parts of a larger system are successfully implemented, providing support for the effectiveness of several of the principles in our framework. We conclude that a human-competitive neuromorphic system for machine intelligence is a viable long- term goal, but that for the short term, substantial integration with more standard symbolic methods as well as substantial research will be needed to make this goal achievable

Assessment Water Quality Indices of Surface Water for Drinking and Irrigation Applications – A Comparison Review

Water is one of the most important natural resources for all living organisms, including humans. Water consumption is increasing over the years as a result of the increase in the number of people, and at the same time, the causes of pollution of surface water sources increase. Water pollution is one of the most important causes of diseases and the transmission of infection to the organisms that use it. Also, the quality of agricultural crops is linked to the quality of the water used for irrigation. As a result, there was a need to monitor and evaluate the main water sources to maintain the quality of their water suitable for use by humans and other organisms. As is well known, it is difficult to evaluate the water quality of large samples with concentrations of many parameters using traditional methods, which depend on comparing experimentally determined parameter values with current standards. As a result, over the past century and the present, many methods of assessing water quality have emerged. This research aims to introduce the most important indices of water quality used at present to assess the quality of surface water for drinking and irrigation purposes, as well as the history of these methods and their development over time and their most important advantages, in addition to a group of the most important research that used these methods during the past few years

Assessment Water Quality Indices of Surface Water for Drinking and Irrigation Applications – A Comparison Review

Water is one of the most important natural resources for all living organisms, including humans. Water consumption is increasing over the years as a result of the increase in the number of people, and at the same time, the causes of pollution of surface water sources increase. Water pollution is one of the most important causes of diseases and the transmission of infection to the organisms that use it. Also, the quality of agricultural crops is linked to the quality of the water used for irrigation. As a result, there was a need to monitor and evaluate the main water sources to maintain the quality of their water suitable for use by humans and other organisms. As is well known, it is difficult to evaluate the water quality of large samples with concentrations of many parameters using traditional methods, which depend on comparing experimentally determined parameter values with current standards. As a result, over the past century and the present, many methods of assessing water quality have emerged. This research aims to introduce the most important indices of water quality used at present to assess the quality of surface water for drinking and irrigation purposes, as well as the history of these methods and their development over time and their most important advantages, in addition to a group of the most important research that used these methods during the past few years

Assessment of the Al-Abbasiyah River (Iraq) Water Quality for Drinking Purposes Using the Water Quality Index and GIS Software

All kinds of life, including people, animals, plants, and other species, depend on the rich natural resources of water. However, this valuable resource is becoming increasingly threatened by the increasing population as well as the growing demand for quality water for domestic and economic purposes. Hence the requirement for ongoing river water quality monitoring and assessment. In this research, the water quality (WQ) of the Al-Abbasiyah River was assessed for drinking uses in the dry and wet seasons using the weighted arithmetic water quality index (WAWQI) and GIS software. Eighteen physical, chemical, and biological parameters were measured in 2022 (dry season) and 2023 (wet season) by collecting samples from eight locations along the river. These parameters are: Temperature, EC, pH, TDS, TSS, Turbidity, DO, BOD5, alkalinity, NO3-, HCO3-, Cl-, Mg+2, Ca+2, Na+, K+, TH, and SO4-2. The average of the measured water parameters showed that some of these parameters exceeded the standards limit of the WHO in all locations such as (Alk, TH, Ca+2, Mg+2, SO4-2) and at some locations such as (TDS, Turbidity, and HCO3-). During the dry season, the WA-WQI values varied between 70.33 in (L-4) within the category of "Poor" and 119.87 in (L-7) within the category of "Unsuitable", while in the wet season varied between 49.71 in (L-5) within the category of "Good", and 79.35 in (L-2) within the category of “Poor”. Thus, the water of the Al-Abbasiyah River was unfit for drinking directly and must undergo treatment before use in both seasons

Evaluation of the Groundwater Quality for Irrigation : Case Study of Hilla district, Babylon Province, Iraq

A crisis of water scarcity in the world encouraged researchers, especially in the arid areas to know the nature and quality of all its sources regardless of surface water. The groundwater evaluation for irrigation was suggested by using the model of Water Quality Index for Irrigation (WQIIR) in the ArcMap/GIS Software. This model was applied to 48 wells distributed throughout the Hilla district, Babylon, Iraq. The samples of EC, Ca +2, Mg+2, Cl-1, Na +1, HCO3-1, and SAR for groundwater were collected from these wells during wet and dry seasons in 2016. The generated maps in GIS for the WQIIR model in both seasons were divided into categories based on restriction`s groundwater use for irrigation. These categories consisted of Severe Restriction (SR), High Restriction (HR), Moderate Restriction (MR), Low Restriction,and No Restriction. The areas values and their classification of restriction`s groundwater use for irrigation related to the five categories that resulted within the generated maps in GIS using the WQIIR model in the wet season (in km 2) were: 42.79 (SR), 407.05 (HR), 377.77 (MR), 32.39 (LR) and 0.23 (NR) respectively and for the dry season were as follows: 42.79 (SR), 407.05 (HR), 377.77 (MR), 32.39 (LR) and 0.23 (NR) respectively. The areas and the classification categories of restriction groundwater for irrigation calculated based on the values resulted from the WQIIR model have shown variation in the dry and wet seasons

EXPRESS: real-time brand reputation tracking using social media

How can we know what stakeholders think and feel about brands in real-time and over time? Most brand reputation measures are at the aggregate level (e.g., the Interbrand “Best Global Brands” list) or rely on customer brand perception surveys on a periodical basis (e.g., the Y&R Brand Asset Valuator). To answer this question, brand reputation measures must capture the voice of the stakeholders (not just ratings on brand attributes), must reflect important brand events in real-time, and must connect to a brand’s financial value to the firm. This paper develops a new social media-based brand reputation tracker by mining Twitter comments for the world’s top 100 brands using Rust-Zeithaml-Lemon’s value-brand-relationship framework, on a weekly, monthly, and quarterly basis. The paper demonstrates that brand reputation can be monitored in real-time and longitudinally, managed by leveraging the reciprocal and virtuous relationships between the drivers, and connected to firm financial performance. The resulting measures are housed in an online longitudinal database and may be accessed by brand reputation researchers

CFD Analysis of the Effects of Compound Downstream Slope on Flow Over the Spillway

The volume of the stilling basin can be reduced, energy can be dissipated, and floods can be contained with the help of spillways. The aim of this Computational Fluid Dynamics (CFD) study is to investigate how compound slopes change water flows through spillways. To measure turbulence, the Realizable k-ε model was used, and the multiphase volume of fluid (VOF) method was utilized to determine where air and water meet. Five models of spillways with different slopes (normal slope (MS1) = 30°, compound slope(MS2 and MS3) = 20°/39°, and compound slope (MS4 and MS5) = 39°/20°) were modelled and simulated using the ANSYS Fluent software to determine their flow characteristics. Numerical simulation results were compared to experimental results, and it was found that the CFD model captured the key flow aspects accurately. The numerical model carefully observes the several flow patterns (nappe, transition, and skimming) that emerged owing to variations in slope and geometry. When it comes to dissipating energy, models with a compound slope (39°/20°) do the best. When compared to the normal slope model (30°) with a step size of 10, the increase in energy dissipation is 14%. According to the findings, the TKE (turbulent kinetic energy) was elevated by the compound slope. The results of this research show that the spillway can be operated effectively and reliably under a wide range of flow conditions, fulfilling an important goal of the project

Estimation of Total Dissolved Solids in Water Bodies by Spectral Indices Case Study : Shatt al-Arab River

In recent years, the problem of rising salinity levels in the Shatt al-Arab river in southern Iraq has been repeated, which has directly affected the living and health situation and the agricultural activity of these areas. Six sampling stations were selected along Shatt al-Arab to estimate the concentration of total dissolved solids (TDS) in the river; these stations included the following: Qurna, Labani, City Centre, Kateban, Corniche, and Sihan. In addition, three Landsat-8 satellite images which were taken at the same time as collected samples also used for detecting the salinity in the river. After processing of atmospheric correction and inserted remote sensing indices, the reflectance of water extracted from satellite images was used to express the spectral characteristics of different TDS concentrations. Correlation and regression were used to obtain accurate models for detecting the salinity depending on the spectral reflectance of Landsat 8 operational land image OLI. The results presented Pearson correlation (r) value of 0.70, 0.97, and 0.71, and correlation coefficient (R2) of 0.56, 0.94, and 0.85 between field data with spectral data of salinity index 2 (SI-2) derived from the green and blue bands of Landsat obtained in 2015, 2017, and 2018 respectively. In conclusion, remote sensing and GIS technologies coupled with spectral modeling are useful tools for providing a solution of future water resources planning and management, and also offer great undertaking as a means to improve knowledge of water quality and support water decision making.Validerad;2020;Nivå 2;2020-09-21 (alebob)</p