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The effect of adding two types of organic chromium to the diet of common carp Cyprinus carpio L. on some blood and biochemical traits.
Get PDF This research was carried out in the fish laboratory of the Department of Animal Production/College of Agriculture and Forestry/University of Mosul. 147 common carp, Cyprinus carpio L., were used with an average initial weight of 27.60 ± 2 gm/fish, distributed over seven experimental treatments, with three replicates for each treatment. The fish were acclimatized before the experiment for twenty-one days to the aquarium environment and food intake. Two types of organic chromium were added, namely chromium picolinate, at an amount of 0.3, 0.4, and 0.5 mg/kg feed (T2, T3, and T4), and 0.3, 0.4, and 0.5 mg/kg feed of chromium nicotinate (T5, T6, and T7), besides the control diet without additives (T1), which was balanced in terms of crude protein and metabolic energy. Results of the statistical analysis showed that the fish fed the experimental diets T3 and T7 were significantly superior (P? 0.05) in terms of hemoglobin and PCV to the rest of the experimental diets, including the control diet. Fish fed the T6 diet recorded a significant superiority over the rest of the other experimental treatments in the total blood protein and globulin standards, while no significant differences were observed between the different experimental treatments with the exception of the control diet, which was significantly behind the rest of the treatments in the albumin standard. Fish fed the control diet outperformed the parameters of blood sugar, triglycerides, AST, and ALT significantly more than the rest of the experimental treatments. It turns out that adding both types of organic chromium (organic chromium picolinate and nicotinate) at a rate of 0.5 mg/kg feed gave the best results in most of the criteria studied
A Review of Enhancement Techniques for Cone Beam Computed Tomography Images
Get PDFCone Beam Computed Tomography (CBCT) has emerged as a valuable imaging modality for various medical applications due to its ability to provide three-dimensional information with minimal radiation exposure. However, CBCT images often suffer from inherent limitations, such as increased noise, artifacts, and reduced spatial resolution. This paper presents a comprehensive review of image processing techniques employed to enhance the quality of CBCT images, addressing the challenges posed by acquisition hardware and image reconstruction algorithms. The review covers a range of preprocessing and post-processing methods, including denoising, artifact correction, and resolution improvement techniques. These methods encompass various mathematical algorithms, machine learning approaches, and hybrid models, which aim to mitigate the imperfections present in CBCT data while preserving diagnostically relevant information. Additionally, this paper discusses the application of deep learning methods, convolutional neural networks, and generative adversarial networks in CBCT image enhancement. These advanced techniques have shown promise in tackling the complex nature of CBCT data and optimizing image quality
Emerging Development of Wireless Localization Technologies Aided with Reconfigurable Intelligent Surfaces: A Comprehensive Survey
Get PDFWireless localization technologies have undergone a paradigm shift with the advent of the emerging trend which is the Reconfigurable Intelligent Surfaces (RISs). This paper presents a comprehensive survey of the state-of-the-art RIS-aided localization techniques, exploring the transformative impact of intelligent surfaces on location-based services. The survey comprehensively reviews existing wireless localization methods, ranging from the localization techniques in the wireless communications generations. It addition the challenges posed by conventional localization methods are discussed, including accuracy and coverage issues. In response to these challenges, the incorporation of RIS is explored as a promising paradigm to enhance the precision and reliability of wireless localization. The core of the paper focuses on the integration of RIS into localization systems, highlighting how these RISs can be strategically deployed to enhance accuracy, mitigate multipath effects, integration in different propagation environment and solve non feasible localization problems. The survey encompasses a wide range of applications, including outdoor positioning, indoor positioning, and Internet of Things (IoT) devices, showcasing the versatility of RIS-aided localization across various scenarios. Also, critical design aspects are examined, including propagation regions, hardware requirements, deployment strategies, necessary measurements, multiplexing, and signalling systems
Parkinson’s Disease Detection Based on Transfer Learning
Get PDFThe process of diagnosing diseases early is one of the most important goals of the tremendous development in artificial intelligence, and Parkinson’s disease is one of the diseases whose symptoms are similar to many other diseases. It is a neurological disease whose symptoms develop slowly, so the process of its diagnosis is very important in order to preserve the patient's life. One of the most important symptoms is muscle stiffness as well as slow movement. In this research, a method was developed to detect Parkinson's disease using machine learning, learning transfer techniques were relied upon to extract features from handwriting images that we obtained from the NewHandPD database, and then these images were classified into two categories (Parkinson's disease and non-Parkinson's disease) by KNN classification algorithm, for being accurate and fast in calculations, the results of the training of the INCEPTION-V4 model showed a detection accuracy of up to 93%, as well as an area under the curve of 0.89 with a loss of only 0.2 , where this model can be relied on to diagnose and detect Parkinson's disease with high accuracy
Development of Compound Parabolic Concentrator based on Flat Plate Receiver Solar Air Heater and Phase Change Material
Get PDFThis work involves an experimental investigation of a Compound Parabolic Concentrator (CPC) solar air flat plate collector with adding Phase Change Material (PCM). To explore the best model performance, the structure of CPC has two symmetric giant parabolic mirror reflectors, a concentration ratio of 1.7, similar flat plate receiver with 12 tubes filled with paraffin wax PCM. The tests were performed in April and May 2023 in Mosul City/Iraq under standard conditions for around 11 hours during the day. The outcomes indicated that a rise in air mass flowrate leads to a rise in the receiver performance. The findings confirm the thermalefficiency of 64.3% for 0.0174kg/s. For constant air flowrate, the performance of involute shape by A significant inlet temperature change has been found in CPC. It is demonstrated that phase change material and the position of the receiver have considerable influence on the model performance. The current work provides important information for evaluating the CPC model performance for Mosul/city
Diabetes mellitus in pet animals
Get PDFDiabetes mellitus (DM) is a recurrent trouble found in humans and animals, especially dogs and cats. Clinical symptoms include hyperglycemia with glycosuria, and using the documentation of their persistencefor diagnosis. The insurance that the owners of cats or dogs have the ability to administer of insulin, perceive the clinical symptoms of deficiency control DM, and observe of glucose concentrations in blood, are important steps in the successful management of DM. Treatment by using insulin twice daily with the diet diversity is very useful in the management insulin resistance and obesity in dogs. In cats, the first treatment includes moving to a diet of low-carbohydrates accompanied by an injection of insulin twice daily. Amnesty rates in cats can be more than 90%, while in dogs the disease, with the omission of a bias disorder, is usually life-long. This manuscript aim to detail the achievable classification, pathogenesis and etiology of impulsive DM in pet animals and spotlight innovative conducted research in this area
Effect of Adding of Bacteriocin Produced from Streptococcus thermophilus Bacteria on the Microbial Content and Some Pathogenic Bacteria in Soft Cheese
Get PDFThis study was conducted at the College of Agriculture at Tikrit University for the period from the beginning of May until the end of September 2022. The effect of adding bacteriocin produced from Streptococcus thermophilus bacteria in the manufacture of soft cheese was studied. The cheese was made from pasteurized cow's milk with the addition of (0.5%, 1%, 1.5%, 2% of bacteriocins) and its microbial content (aerobic bacteria, coliform bacteria, yeasts and molds) was studied during the refrigerated storage period (at 5 ± 1 °C). For 28 days. And a study of the effect of bacteriocins on (Staphylococcus aureus, Bacillus cereus, Escherichia coli) as pathogenic bacteria in soft cheese. The results of the statistical analysis of these factors showed that there were significant differences in the total numbers of microorganisms in the soft cheese produced. The addition of bacteriocin had a clear effect on all types of microorganisms under study during the storage period
Characterizing Biochar Derived from Palm Kernel Shell Biomass via Slow Pyrolysis for Adsorption Applications
Get PDFThis comprehensive study delves into the thorough characterization of biochar derived from palm kernel shells, with a focus on its potential as an environmentally friendly solution to tackle waste management challenges within Malaysia's agro-industry. Employing the (BET) method, the current investigation unveils an impressive specific surface area of 299.7565 m²/g, complemented by a pore size of 2.17783 nm and a substantial pore volume of 0.1632 cm³/g, attesting to its extraordinary adsorption capacity. Assessment of thermal stability through (FESEM) imaging underscores its resilience, FTIR spectroscopy unravels distinct peaks within the stretching region. XRD analysis introduces a characteristic pattern for palm kernel shell-derived biochar (PKSBC), marked by a prominent, broad peak observed at approximately 2? = 20-30º and 2? = 40-50º, indicative of crystalline and semi-crystalline phases, respectively. Elemental analysis assumes a pivotal role in assessing biochar quality, with a particular emphasis on carbon content, instrumental in identifying potential impurities or contaminants that could compromise its effectiveness in critical applications, including water treatment, air purification, and gas adsorption. This study not only underscores the substantial promise of palm kernel shell-derived biochar in addressing environmental challenges but also provides invaluable insights into its exceptional properties. These findings have the potential to redefine sustainable practices and drive environmental stewardship, offering innovative solutions to the pressing issues of our time
Analysis of the performance of a 25-level inverter with a minimum number of switches and reduced harmonics for an environment solar energy
Get PDFA multilevel inverter is a type of electrical equipment that converts a DC voltage to a higher AC value by creating a stepped waveform using several voltage levels. Multilevel inverters may create waveforms with three or more voltage levels, although regular inverters cannot. This separation results in lower harmonic distortion, decreased electromagnetic interference, and higher efficiency. An innovative MLI design that makes use of fewer switches and PV sources solves this problem. The Perturbation and Observation (P&O) approach is used to derive the Maximum Power Point Tracking (MPPT) from these PVs. The MC-SPWM technique was used in the design, simulation, and construction of single-phase and three-phase multilevel inverters with inverter levels ranging from three to twenty-five. The technique's cornerstones are phase disposition (PD-PWM) and power quality improvement. The main goal of the paper objectively analyzing the issue of power-system harmonics, providing information on causes, effects, and useful harmonic mitigation strategy
Effect of square and perforated fins on improving the efficiency of the classic pyramidal solar still
Get PDFA practical study was conducted to improve the performance of traditional pyramidal solar stills by using fins with square shapes and a circular diameter on the inside, as well as an internal mirror with a pyramid angle of 55 degrees for the improved and 45 degrees for the traditional. The fins were inserted into the base of the solar still, and a glass mirror was installed on each of the still's four sides to compare its performance to that of a typical device. The experimental findings acquired from the pyramidal and enhanced solar systems revealed the following for the first system: Combining the classic pyramidal with the inner-mirror pyramidal demonstrated the results of traditional distillation at 1250 ml/hour with a 47.6% efficiency. Regarding the modified pyramidal still, distillation data revealed an increase of up to 1500 ml/hour with an efficiency of 56.9%. The second system consisted of a traditional pyramid with a 45-degree angle and an enhanced one with a 55-degree angle, square fins, and an internal mirror, which generated more distillate products than the traditional one under all conditions tested. The daily productivity of the enhanced pyramid was 2200 ml/hour, with a 90% efficiency, whereas the original pyramid's daily output was 1675 ml/hour, with a 59.5% efficiency. Furthermore, the use of fins enhanced daily distillate production