The micro-channel heat sinks (MCHS) are used in sophisticated cooling systems to meet the cooling requirements of electronic equipment fitted with high-performance integrated circuits, such as computer chips. In order to increase the effectiveness of heat exchange in MCHS, various types of micro-channel designs have been created. In this study, a three-dimensional micro-channel heat sink has dimensions of 18mm6.2mm0.5mm. the effective use of boehmite aluminium nanoparticles with the base fluids, water, ethylene glycol, etc. The micro channel heat sink includes numerical analyses of several MCHS designs with thermohydraulic efficacy. Throughout the micro channel heat sink, various MCHS designs are analyzed numerically. The Navier-Stokes solution and the energy equation are solved using the finite-volume method, and the hemodynamic and heat efficiencies of the micro channel heat sink is calculated. The results show that the MCHS's triangular design has the maximum heat transfer coefficient, and while its rectangular shape has the lowest heat transmission value. When the velocity is altered, the mean bottom surface temperature for both MCHS shapes decreases, increasing efficiency. The triangle shape of the MCHS establishes the lowest temperature. The triangle shape of the MCHS results in the highest pressure drops, whereas the rectangle shape results in the lowest pressure drops. MCHS has a low thermal resistance due to its triangle shape, but it has a high thermal resistance because to its rectangular shape. The rectangle-shaped MCHS produces the maximum temperature and dissipates the most heat when comparison to the triangle-shaped MCHS. the entire study is carried out by commercially available software ANSYS FLUENT.

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There has been a lot of study interest in the occurrence of environmental persistent free radicals. Even though diesel engine exhaust is one of the main sources of EPFRs in the environment, relatively little research has been done on the EPFRs' emission characteristics under various working situations. To examine the emission process of a diesel engine and replicate various working situations at varying altitudes and engine speeds, an integrated engine system was used. The findings revealed that high altitude and low engine rpm are typically related to increased PM10 emission with more stable and organized structures. According to research on PAHs in solid and gas phases, PM10 produced by diesel engines at altitudes greater than 2000 m may contain significant levels of PAHs embedded inside particles but not adsorbed on the surface. In diesel exhaust PM10, EPFRs signals up to 1.66 1020 spins/g were found. Stronger EPR readings on PM10 were related to lower altitude and higher engine speed. However, at lower engine speed and greater altitude, the cumulative EPR signal intensities after ingesting 1 L of diesel were higher, indicating increased overall risks. It was indicated that the EPR signals were linked to flaws in the carbon structure by a positive correlation between R value, or the signal strength ratio of the D and G peaks on the Raman spectra. In a one-month ageing simulation, over 70% of the EPR signals survived under UV light, while the EPFRs strength in particles exhibited no discernible change in the dark. The significant persistence of these EPFRs implied long-term and widespread concerns that should be thoroughly examined.

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Phytotherapy has been used traditionally to cure human ailments and Centella asiatica (CA) has quite impressive ethnomedicinal uses in Asian countries including the treatment of skin diseases, insomnia, stomach worms, dysentery and syphilis. CA extract is also a good cardiotonic due to presence of asiaticosides and asiaticacid in it as they increase the B- cell lymphoma 2/Bcl2 Associated X-protein (Bcl2/Bax) ratio and prevent the apoptosis of cardiomyocytes in vitro and in vivo. In this review, the therapeutic benefits of CA have been highlighted with special reference to the prevention and cure of cardiovascular diseases like cardiac hypertrophy, myocardial ischemia reperfusion injury (MIRI) in the patients of coronary heart disease (CHD).

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Andropause is a gradual process and is more similar to menopause in women. Knowledge and experience of symptoms of andropause is an important discussion in their lives nowadays. The study’s main aim is to find out the knowledge and symptoms of andropause among men. The study used descriptive analysis, the data were collected using the Aging Male Scales (AMS) questionnaire. The results of the study show that 73.6% of the respondents had a strong experience of andropause, and it has a strong connection with the level of education and occupation related to andropause. Based on the outcomes of this study, despite the fact that the majority of men over age 40 had experienced symptoms of andropause, their awareness about andropause was very low and they are more prone to psychological issues. Men in their middle age are learned to be physically and emotionally stable. The spouse should support the partner in all ways to balance the crisis.

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This Interaction with databases is achievable only if we are familiar about the standard SQL queries. In this paper, speech-based DBMS communication is the focus. Users can use their voice to interface with the database and retrieve information. Therefore, it is not necessary for the user to have prior understanding of SQL queries. Information retrieval is concerned with providing quick access to information based on a user's request, which will be presented as a query. If further information is required, a dialogue system that can understand spoken natural language questions will ask for it before responding to the speaker's question. Primarily a small number of information extraction research studies are devoted to the study of spoken language information extraction, the majority of which concentrate only on written language processing. In this system, user can also enter the query using speech. System will convert speech into the text format. This query will get transformed to SQL query. System will execute the query and gives output to the user.

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Pure Manganese-Zinc ferrite nano particles and doped with Gadolinium having varying concentrations 0.1, 0.2 and 0.3 percentage, were synthesized using Co-precipitation technique. XRD analysis was done to ensure the formation of ferrite particles and incorporation of Gd³⁺ in as-prepared samples. The lattice parameter, crystallite size, lattice strain and X-ray density has also been calculated using the XRD spectra. The average crystallite size is comes out to be 5nm with cubic structure. The FTIR spectra reveal the formation of various functional groups within the material. SEM images show the surface morphology of as-prepared samples. Vibrational Sample Magnetometer (VSM) result shows a decrease in saturation magnetization on increasing the gadolinium doping concentrations.

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In recent decades, with the active increase of internet sites like Facebook and Twitter, rumours for different political and economic reasons have spread and become dominant in the virtual environment. Through unclear language, networking site members are readily polluted by these digital rumours, which have had immense impacts upon the actual community. Recognizing reasonable rumours is a key objective in increasing the overall integrity of content in virtual communities. The purpose of this research is to examine the objectives and techniques, including strategies towards recognizing rumor articles and producers, including content via virtual communities, as well as to evaluate the comparable results. An uncertain individuality of misleading information, as well as varied links between editorials, producers, or topics, provide issues in this work. The Fraud sensor approach, which is described in this work, is a new monthly false information confidence sensor method. Fraud sensor creates a deep network technique to automatically understand the description of blog posts, authors, as well as content consisting of a set of straightforward & concealed properties derived through textual input. The suggested approach has been tested against a variety of state-of-the-art methods on a liberal mainstream media database, and the latest findings have also shown the efficacy of the fraud sensor.

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Oral cancer is the most common type of head and neck cancer worldwide, leading to roughly,17,757 deaths every time. When linked at early stages, oral cancers can achieve survival rates of over to 75 - 90. still, the maturity of the cases are diagnosed at an advanced stage substantially due to the lack of public mindfulness about oral cancer signs and the detainments in referrals to oral cancer specialists. As early discovery and treatment remain to be the most effective measures in perfecting oral cancer issues, the development of vision- grounded spare technologies that can descry oral potentially nasty diseases( OPMDs), which carry a threat of cancer development, present significant openings for the oral cancer webbing process. In this study, we explored the implicit operations of computer vision ways in the oral cancer sphere within the compass of photographic images and delved the prospects of an automated system for detecting OPMD.

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The small and medium scale enterprises(SME) have immense growth in the recent years due to the social and economic development of the country, but the security aspects followed in the SME are very poor, and it becomes highly risky to the worker’s life, so safety aspects in SME requires huge amount of improvement. during this thesis we propose behaviour of small and medium scale industry for safety management. the primary target of the industries has to improve the implementation of Occupational Health and Safety Management Systems, especially for little and medium enterprises (SMEs). Safety investments are uncompetitive if compared to other investments, especially for SMEs, thanks to responsibility attribution management that does not guarantee the exemption of responsibility in the case of unpredictable accidents and to an insufficient incentive policy for enterprises, virtuous in safety investments. For SMEs safety investments are un-profitable also because the individual SME has no real perception of accident risks due both to difficulties in assessing and monitoring the important risk and to the small number of employees. The project has introduced an index (Efficacy Index) to objectively quantify the effective implementation of an Occupational Health and Safety Management System (OHSMS). The paper shows how the index are often practically applied to a company and what kind of information can be collected and processed to determine the effective implementation of the OHSMS. It helps to scale back the accident rate and incident rate of SMEs, highlighting the security awareness in SMEs from the management level to the employee in order to improve the safety management in SMEs.

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