Volume 11 | Issue 5 |

 Abstract

There has been an increasing focus on progress of new routes of drug administration to provide tailored treatments for patients, without declining efficacy of analgesia, in proportion to the progression of the knowledge of pain mechanisms. The present research study is about to formulate the topical herbal balm for analgesic and antiinflammatory activity. This present research showed a good effect of herbal balm as compare with marketed preparation. In this pain balm we used all ingredients are herbs which is very potent and effective and there is no any side effect. The herbs used such that Eucalyptus oil, cinnamon oil, clove oil & Amrutdhara

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Key word: Herbal balm, antiinflammatory activity, Eucalyptus oil, cinnamon oil, clove oil, Amrutdhara

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The use of multiple materials in engineering structures is becoming more powerful, particularly in applications such as transportation. Combining different materials allows for more efficient designs and greater performance that could be achieved with a single material, with beneficial impacts for a range of industries. As it produces welds of high quality without the use of filler material, ultrasonic welding can join thin sheets of similar or different non-ferrous alloys, including copper, aluminum, magnesium, and brass. This bond is strong and reliable and can withstand high loads and stresses. These studies evaluate the relationship between the tensile strength of ultrasonic welding of sheets with various welding parameters, such as weld pressure, weld time, and hold time. It has been discovered that lengthening the weld and increasing the welding pressure can strengthen the link between the sheets. The mechanical characteristics of the joint, particularly its tensile strength and fatigue life, have been found to be improved by the application of an interlayer. A copper or zinc interlayer was shown to increase the joint's tensile strength. The enhanced mechanical capabilities are due to the interlayer's capacity to operate as a barrier between the sheets, limiting the production of intermetallic compounds and other flaws that could weaken the joint. This review article discusses the properties of ultrasonic welding, the interface of welding joints, performance, and welding variables for various materials.

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Ultrasonic welding, parameters, interlayer, fatigue life, joint's tensile strength.

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This case study presents the comprehensive physiotherapy management of a 63-year-old patient named Ram Adhar diagnosed with cervical radiculopathy. The aim of this study was to evaluate the effectiveness of physiotherapy interventions in reducing pain, improving range of motion, enhancing muscle strength, restoring sensation, and enhancing overall functional capacity and quality of life in patients with cervical radiculopathy. Baseline assessments revealed severe pain, restricted cervical range of motion, reduced muscle strength, decreased sensation, and significant functional limitations. The treatment plan incorporated pain management techniques, manual therapy, exercise therapy, and education/self-management strategies. Pain management techniques included therapeutic ultrasound and TENS, while manual therapy comprised soft tissue mobilization, joint mobilization, and neural mobilization. Exercise therapy encompassed stretching, strengthening, and postural correction exercises. Education and self-management strategies focused on ergonomics, postural education, and a home exercise program. Evaluation of outcomes demonstrated significant improvements in pain intensity, cervical range of motion, muscle strength, sensation, and functional capacity. Pain intensity decreased, and near-normal range of motion was achieved. Muscle strength increased, sensation was restored in affected dermatomes, and functional limitations decreased. The patient's quality of life also improved.

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Cervical radiculopathy, physical therapy, physiotherapy management of cervical radiculopathy, cervical pain management, cervical radiculopathy case study

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Rapid depletion of petroleum resources and enhancement in energy demand have motivated the researchers to discover alternate path to generate sustainable source of energy like biooil that could replace convectional fossil fuel. Lignocellulosic biomass and plastics are attractive for energy conversion because of their low cost and bulk availability. The co-pyrolysis of biomass and plastic can significantly improve the quantity and quality of pyrolysis oil. It is one of the most widely used techniques for thermo-chemical conversion of biomass and plastic waste, which can minimize pollution problems and regain beneficial energy, into oil. The physicochemical characteristics of plastic and biomass suggest its potential for co-pyrolysis, whereas, solid state thermal decomposition kinetics provide valuable information for designing and operating industrial biomass and plastic conversion systems. This review paper presents valuable information about the physiochemical characteristics of various lignocellulose biomass and plastic, different kinetic models, and mathematical approximations to calculate kinetics parameters. Thermogravimetric analysis (TGA) is used to obtain the thermal degradation of biomass and kinetic parameters of pyrolysis process. TGA data applied to iso-conversional model-free and model-fitting techniques to determine kinetic variables such as pre-exponential factor, activation energy and reaction order of pyrolsis process.

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Biomass, Plastic Waste, Pyrolysis, Physicochemical Characteristics, Thermogravimetric, Kinetics.

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In this paper, we examined the issue of junk mail, which is a significant Internet-related concern. There is now a need for a robust anti-spam filter due to the increase in uncalled mass email, also known as junk Mail. Nowadays, machine learning (ML) procedures are used to filter emails that are spam effectively and opportunistically. In this paper, we've examined some of the popular machine learning (ML) techniques, including rough sets, Bayesian classification, SVMs, k-NN, ANNs, and artificial immune systems, and their applicability to the problem of spam email taxonomy. On the basis of the amount of E-mail Assassins, we have supplied descriptions of the steps and the variations in how they are carried out.

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Junk Mail, Machine learning Procedures, Artificial Intelligence.

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The moment a child is born, the mother is also born. The women existed but the mother never. A mother is absolutely new. The transformation indeed the fruit of physical, social and psychological changes that occur in the women that makes her the most wonderful person in the world- the mother.1 Breast feeding is the best natural feeding for infant survival and maternal health. This study sough to evaluate the effectiveness of structured teaching programme regarding exclusive breast feeding among antenatal mothers .Total 30 antenatal mothers were selected and a pre experimental approach and one group pretest post test design was used.For data analysis descriptive and inferential statistics were used. Result shows that the mean poet test knowledge score (12.7) was higher than the mean pre test knowledge score (6.3).Chi square revealed significant association between pre-test knowledge score with selected socio- demographic variables at level 0.05 significance such as education, occupation, monthly income, any living child. To conclude there is very much lack of knowledge regarding exclusive breast feeding among ante natal mothers, so that there is a need to strengthen lactational education to promote exclusive breast feeding.

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exclusive breastfeeding, breastfeeding, primi mother

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-- Recently, the mobile industry has experienced an extreme increment in number of its users. The GSM network with the greatest worldwide number of users succumbs to several security vulnerabilities. Security is a burning and intelligent issue. It will always remain relevant as it is important in all types of applications. GSM Security flaws have been identified several years ago. Some of these flaws have been fixed by the 3GPP but others are left to discussion. Most of the RSA-based hardware and software products and standards require big key length for higher security level. In this paper we will be focusing on the comparison of working procedure of elliptic curve cryptography and RSA algorithm in GSM network to how it's a better promise for a faster and more secure method of encryption in comparison to the current standards in the Public-Key Cryptographic algorithms of RSA.

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elliptic curve cryptography, RSA, GSM, cryptography

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In any organization, quality has a prime importance and the ability to visually detect the quality of a product is one the most important issues for a manufacturing industry because of the demand of product by customer is increasing. This process is typically carried out by quality experts, unfortunately experts frequently make mistakes because this process could be tedious and tiring even for the most trained operators. A lot of solutions have been proposed to solve this problem such as lean manufacturing. But Computer Vision can solve this problem and can help us to detect the defects and can verify the quality in mean time. Computer Vision is a branch of artificial intelligence which can be used to automate and integrate a wide range of processes used for visual perception. It includes many techniques such as image processing, statistical pattern recognition, feature extraction, neural network training and testing, object detection and recognition, etc. The use of Computer Vision and AI is currently restricted to only some basic visual and numerical based applications because of hard problems to solve or lack of computational power, but in future this field can be extended to other processes and fields such as detection of properties of materials using this technology, design and analysis of products, automation of critical manufacturing processes, fault diagnosis in product and process, so on and so forth. Computer Vision and AI has ability to solve all kind of problems. A lot research and development are being carried out in this field one of them is Reinforcement Learning, which will be the able to solve all sort of problems in future.

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Computer Vision, Reinforcement Learning, Artificial Intelligence Neural Network Training

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India is the second-largest irrigated country, but only one-third of the area is irrigated. It is due to uncertain rainfall and lack of water. Most of the areas need canals to be built for irrigation without being depending on the rainfall. The utilization of water is very important for irrigation. The implementation of IoT agriculture starts with intelligent irrigation for the majority of fields. Optimizing the water schedule and quantity of water helps us to save water, money, and have the best crop on the field. Sensor-based IoT technology gathers soil moisture, temperature, humidity data, and transmits this information to farm irrigation systems from sensors. A platform responds to these signals and the drip irrigation switches on as soon as there is insufficient water in the soil. The proposed system uses sensors like a soil moisture sensor, temperature, and humidity sensor. The microcontroller is used to send data to Blynk and Thing Speak, Blynk application is used to monitor the data, and Thing Speak cloud is used to store the data. This system provides a feasible monitoring platform and automates the irrigation process. This leads to a transition from traditional farming to modern farming

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IoT, Automation, NodeMCU ESP8266, WiFi, DHT11, Thing Speak

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This paper aims to understand how corporate governance can impact on environmental performance. It also establishes the relation between environmental performance and corporate governance. For this analysis we collect the data from the top 10 power sector companies listed by National Stock Exchange (NSE) in India over the period of 5 years from 2018-2022. This study used statistical tools like descriptive statistics, correlation matrix, and regression models to justify the objectives. Our results show that the number of members in the board and CEO duality roles was not the important for enhancing environmental performance. However, the gender diversity among board members and top executives had a positive impact on environmental performance.

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environmental performance, corporate governance, gender diversity, board members, top executives.

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