Water Purification Under the Magnetization Method: A Review

Water is an essential element for living organisms. The availability of fresh drinking water is getting lower day by day with the increasing pollution. Water contamination is a major cause of concern all around the world. There are many methods through which the water is treated among which the Magnetic water treatment method is one method. Which has shown its potential in treating the water. The electromagnetic eater treatment classified and extended method of magnetic water treatment has shown its potential in the Reduction of the formation of scales and treating industrial wastewater has been its most covered area when it comes to treating water. It is a simple technique and has shown its potential in different fields. This review aims to magnetic water treatment techniques. The efficiency, working mechanism, and classification of the magnetic water treatment technique are highlighted

Utilization Of Artificial Intelligence (AI) And Machine Learning (ML) in the Field of Energy Research

Many governments have committed to becoming carbon neutral by 2050. The main argument is that renewable resources are more eco-friendly than fossil fuels. However, the unpredictable nature of solar and wind power results in either excess or lack of energy generation. This article will evaluate the current machine-learning-based solutions for forecasting renewable energy demand and capacity. Many researchers have used machine learning (ML) to anticipate the amount of generated wind or solar energy. SVM, RNN, NN, and ELM are the most utilized algorithms. Prediction accuracy is improved through optimization (metaheuristics and evolution). These methods can forecast renewable energy for periods ranging from seconds to months. This article compares several ML methodologies and metaheuristic strategies and reviews the current state of research. The hybrid MLS outperforms the standalone optimizers. A more extensive data set for ANN, the introduction of NWP, and a shorter prediction timeframe are suggested as alternatives to Bayesian and random grid tuning. Further research on probabilistic predictions and mathematical relationships between inputs and outputs is needed to close the research gap

SHMP and SBS Mix for Brackish Water Treatment for 50 Days

Managing or concentrating brine is one of RO desalination's biggest challenges. This concentration is used to make minerals. After salt crystallization, remove the RO handle's anticoagulants. Anticipants can be used to control calcium reverse osmosis precipitate sulphate and carbonate. Calcium phosphate control hasn't been well studied. Anticipants are used to prevent calcium phosphate build up on RO blocks, although their mechanism is unknown. Most RO desalination plants use phosphorus-based anticalins to minimize scale. These anticalins lower transmembrane weight, salt entry, and saturation stream. Phosphorus anticalins in brine disposal should be considered when building a desalination plant. SHMP is a well-respected anti-scale agent for RO films. It's dosed into feed water from a vessel containing sodium hexametaphosphate. Sodium hexametaphosphate-containing devices were prone to bacterial contamination. After 36 days, there were too many bacteria in the cosmetics applicator to count (TNTC). Sodium hexametaphosphate can convert polyphosphate to orthophosphate. Temperature, concentration, and nutrients that help bacteria grow all affect conversion. A solution of sodium hexametaphosphate was tested for free phosphate. Hydrogen sulphide (H2S) can occur in raw water, hence chlorine was avoided. Sodium metabisulfite disinfected sodium hexametaphosphate tanks and injection lines (SBS). Sterilization and phosphate reduction were studied. The SBS process was affected by sodium hexametaphosphate. SBS-sodium hexametaphosphate solution interaction affects how well and how much this RO system operates

Nanoparticle Incorporation to Enhance Titanium Alloy Electric Discharge Machining Capabilities

The primary objective of this study was to examine the effects of the Powder-blended Micro Electric Discharge Machining (PMEDM) technique on micromachining applications, specifically when sea water is employed as the dielectric medium. Tiny apertures with a width of 200µm were punctured over Ti-6Al-4V plates. In the initial round of experimentation, the machining performance was evaluated by subjecting sea water to various process variables without the inclusion of any other ingredients. The effects of input variables, including electrode material, hole voltage, current, Pulse-on-time, and Duty factor, on the Material Removal Rate (MRR), Tool Wear Rate (TWR), Overcut (OC), Circularity Error (CE), and Taper Ratio (TR) were analysed by conducting tests in accordance with Taguchi's L18 plan design. The method employed to ascertain the optimal parametric configuration for multi-objective enhancement involved utilising the strategy of soliciting inclination based on similarity to an ideal arrangement. The present study aimed to investigate the effects of foreign materials on the dielectric-based miniature electrical discharge machining (EDM) process in sea water. This was achieved by utilising powders with varying weight concentrations and molecule sizes, including non-conductive (Al2O3), semi-conductive (SiC), and conductive (Al) powders. The experimental setup ensured that the variable boundaries were maintained at their ideal settings. The results indicate that the choice of tool has a notable influence on the functioning of micro EDM when sea water is employed as the dielectric, without the inclusion of extraneous particles. The performance metric of multi-objective execution in PMEDM is influenced by the conductivity of supplementary compounds. An 83.18 percent increase in Material Removal Rate (MRR) was observed when SiC added compounds were utilised in Powder Mixed Electrical Discharge Machining (PMEDM). Conversely, there was a drop in Tool Wear Rate (TWR) by 36.42 percent, Open Circuit voltage (OC) by 21.48 percent, Current Efficiency (CE) by 45.15 percent, and Tool Roughness (TR) by 22.87 percent

A Machine Learning Approach to Pomegranate Leaf Disease Identification

Pomegranate is a fruit with the highest yield and the greatest geographic distribution in Asia. On the other hand, the plants are susceptible to a diverse range of illnesses as a consequence of a number of factors, which leads to the total destruction of the plants and a harvest that is significantly reduced. In order to avoid reductions in agricultural output, it is necessary to diagnose plant diseases as quickly as is practically possible. It is a difficult and time-consuming task to manually monitor the progress of diseases on pomegranate leaves. Therefore, Deep Learning is utilised in the diagnosis of diseases affecting pomegranate trees (DL). The goal of this study is to develop an algorithm for automatically diagnosing diseases affecting pomegranate plants based on images of the plant's leaf structures. The process of a disease detection system includes the gathering of data, the analysis of that data, the categorization of gathered images, and their subsequent deployment. The Mendeley database is utilised in order to generate images of pomegranate leaves in both healthy and diseased states. After that, the original, unaltered raw image is polished. Two different DL models, AlexNet and VGG-16, are put to use in this classification technique. To determine the optimal model, it is necessary to do accurate and loss-oriented measurements. According to the measurements, AlexNet does a good job of recognising diseases that affect leaf tissue. Later, an AlexNet-based smartphone app is developed to assist farmers in performing disease detection on pomegranates without the assistance of professionals. This software is intended to help farmers save time and money

EFFECT OF BETA VULGARIS L. ON CHOLESTEROL RICH DIET-INDUCED HYPERCHOLESTEROLEMIA IN RATS

Abstract The lyophilized aqueous extract of Beta vulgaris L. (beet root) (BVE) was investigated for its possible antihypercholesterolemic and antioxidant potential in cholesterol rich diet-induced hypercholesterolemia in Wistar albino rats. Hypercholesterolemia was induced in rats by feeding 1% cholesterol rich diet for 10 weeks. Lipid profile and glucose were estimated in serum. Malondialdehyde (MDA) and non-protein sulfhydryls (NP-SH) levels were measured in liver and heart. Hypercholesterolemic rats showed a significant increase in total cholesterol and triglycerides and a significant decrease in high-density lipoprotein-cholesterol (HDL-C) levels. BVE at the doses of 250 and 500 mg/kg body weight for 70 consecutive days showed a significant decrease in total cholesterol and triglycerides and significant increase in HDL-C. Furthermore, hypercholesterolemic rats showed free radical generation (lipid peroxidation), evident by a significant increase in MDA level and a significant reduction in NP-SH content in both liver and heart homogenates. BVE treatment significantly decreased MDA level and significantly replenished the reduced NP-SH content in both liver and heart tissue. The acute toxicity test of BVE showed no mortality or morbidity in rats. The findings indicate that BVE has a significant antihypercholesterolemic and antioxidant potential and/or free radical scavenging properties in hypercholesterolemic, rats possibly exerted by the phytoconstituents present in the beet root. Rezumat Studiul experimental evaluează acţiunea antihipercolesterolemiantă şi antioxidantă a extractului apos liofilizat al rădăcinii plantei Beta vulgaris (Chenopodiaceae). Studiul a fost realizat pe şobolani albi de laborator, cărora li s-a indus experimental hipercolesterolemia. A fost evaluat profilul lipidic şi glucidic al animalelor, concentraţia serică a malonildialdehidei. De asemenea, au fost evaluate (ĭn ţesutul hepatic şi cardiac) grupările sulfhidril non-proteice. Rezultatele obţinute indică proprietăţile antihipercolesterolemiante şi antioxidante, datorate fitoconstituenţilor prezenţi în rădăcina plantei studiate

Neural network based single index evaluation for SQL injection attack detection in health care data

In recent years, there are a lot of security risks in the network, and there is the combination intersection between the computer network security problems and security evaluation. The scale of computer network is very large with vast information, so there are many loopholes in the system network. At present, many have established a computer network security evaluation system to monitor the network security vulnerabilities, viruses, and defects in healthcare. However, many places simply analyzed the risk assessment of network security, but there is no assessment of network security situation. For the network security evaluation system, there is no complete evaluation system of network information security. Therefore, a network security evaluation system must be constructed to develop an effective and practical simulation model of computer network security evaluation. Through the simulation model, the effect of network security can be improved. Since the reform and opening up, the simulation of computer network security evaluation in our country is a new subject. It can directly study the network security evaluation, build a network security evaluation model, and study the network security in detail. In the computer network simulation system, it can analyze, study, design, and plan various stages, so as to play an important role

Coronary Artery Bypass grafting (CABG) versus Percutaneous Coronary Intervention (PCI) in the treatment of multivessel coronary disease

BackgroundRevascularization for patients who suffer multivessel coronary artery disease is a common procedure around the world. Taking United about 700,000 patients have multivessel coronary revascularization per year ¼ of these patients are diagnosed with diabetes. AimsTo summarize the current evidence that compare CABG to PCI in multivessel coronary disease‎ in form of ‎cardiac death, stroke, MI and unplanned devascularization.‎Methods This is a systematic review was carried out, including PubMed, Google Scholar, and EBSCO that examining randomized trials of treatment of multivessel coronary disease to summarize the major RCT concerning this topic.Results The review included five randomized studies that compare coronary artery bypass grafting and percutaneous coronary intervention. The findings showed that CABG show better result with less mortality rate.ConclusionThis review concluded that there revascularization in treating coronary artery disease could be conducted either by CABG or PCI, CABG show better result as it cause less death, MI and revascularization rates, but the usage of new additions such as second generation DES, can also improve the safety and efficacy of PCI when added to it

Maternal mortality and morbidity burden in the Eastern Mediterranean region : findings from the Global Burden of Disease 2015 study

Assessing the burden of maternal mortality is important for tracking progress and identifying public health gaps. This paper provides an overview of the burden of maternal mortality in the Eastern Mediterranean Region (EMR) by underlying cause and age from 1990 to 2015. We used the results of the Global Burden of Disease 2015 study to explore maternal mortality in the EMR countries. The maternal mortality ratio in the EMR decreased 16.3% from 283 (241-328) maternal deaths per 100,000 live births in 1990 to 237 (188-293) in 2015. Maternal mortality ratio was strongly correlated with socio-demographic status, where the lowest-income countries contributed the most to the burden of maternal mortality in the region. Progress in reducing maternal mortality in the EMR has accelerated in the past 15 years, but the burden remains high. Coordinated and rigorous efforts are needed to make sure that adequate and timely services and interventions are available for women at each stage of reproductive life