Volume 11 | Issue 4

 Abstract

The aim of presence study was to evaluate the anthelmintic activity of aqueous, chloroform and methanolic extract of plant Prosopis Cineraria of family Leguminosae (Fabaceae). Prosopis is a genus of roughly 44 species, most of which are found in dry areas of Southwest Asia, Africa, and America, primarily from western North America to Patagonia. The plant goes by many different common names. It is referred to as Jand in Punjab and Sami, Sumri in Gujarat. Anthelmintic activity of different extracts of Prosopis Cineraria (Linn) leaves were evaluated against Indian earthworm. Various concentrations of the extracts were bioassayed for the determination of time of paralysis (p) and time of death (d) of the worm. Piperazine citrate at a concentration of 20 mg/ml has been used as reference standard. In our present study, the crude Chloroform extract demonstrated paralysis and also caused death of worms especially at the higher concentration (50 mg/ml) compared to the other extracts and standard, piperazine citrate. This study confirmed the use of plant leaves as an anthelmintic agent.

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Prosopis Cineraria, Anthelmintic Activity, Piperazine citrate, Pheretima Posthuma.

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In smart city environment there are many issues that should be monitored and need to overcome and need to find a solution to complete the work in a smart way. This project helps to solve the problem with the help[ of IoT technology.

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ESP32S Microcontroller,IoT technology,Embedded domain,User friendly system

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The purpose of the present study was to analyze the nutrition practice of university male sportsmen of various sports events. This study was conducted on 100 male sportsmen studying in various JNKVV constitute Agricultural colleges in Madhya Pradesh. Age Range between 19- 24 years. To assess the nutrition practices among the students following questionnaire of ten questions about dietary practice prepared by Nazni and Vimala (2010) was used to collect the data from the selected male sportsmen. The results of the present investigation indicated that there is a scarcity of nutrition education intrusion among selected male sportsmen. The result of the study indicates special attention towards the nutrition practices and knowledge requirement to the students along with the coaches and traditional methods of dietary practices.

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dietary, nutrition practices, Agricultural students

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The OPA method has been optimised, making separation and quantification of 23 amino acids possible, including 5 frequently searched for. Detection limits in honey ranged from 0.24 to 10.1 pmol and in bee-pollen from 29.1 to 0.42 pmol; reproducibility (C.V.) ranged from 5.3% to 20.4%; and recoveries were greater than 78.8%. The free amino acid profiles of forty monovarietal honey samples from ilex, oak, heather, and chestnut-tree were determined. Honey contains a-aminoadipic acid and homoserine for the first time.

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Hplc,amino acid,

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Abstract- In this research paper, we have done the analysis of the Java programming language for the Students, Developers. We will show four models and completely help to Students, Developers in study. This paper surveys recent research on programming languages and coding various models. Enhancements in wherever handling over late conditions has engaged architects to make structures that assistance message in the classroom. Learning includes two methods which are understanding data and changing that learning. We likewise exhibit a different layered Student Model which underpins versatile coaching by gathering the issue particular information state from understudy arrangements. This Research Work is tied in with getting the hang of programming instead of the capable practice. The circumstances are expected for master programming engineers. This paper is an attempt to contemplate how Students, Developers take in the Java programming Language and make secure use of using it. An understudy in what way can find the weakness of Java application.

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Keywords: Coding, Java, Learning, Security, Finding Internet, Students, Developers

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This Project presents a women safety detection system using GPS and IOT modems. The system can be interconnected with the alarm system and android APP alert to the parents and neighbours. This detection and notify system is composed of a GPS receiver, Microcontroller and push button, buzzers and LED's. GPS Receiver gets the location information from satellites in the form of latitude and longitude. The Microcontroller processes this information and this processed information is sent to the user using IOT platform and the IOT modem sends a notification to the parents. When a woman in danger and in need of self-defense then she can press the button which is allotted to her. By pressing the button, the entire system will be activated then immediately a notification will be sent to concern person with location using GPS and also the parent can track that women from anywhere anytime. And further we can extended by adding up an shock pin Module for self-defence.

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NodeMCU-ESP8266, GPS, Relay, Buzzer, Shockpin module, BLYNK IOT.

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Internet of Things (IoT) technology has been widely used in various fields, including healthcare and building infrastructure. In this research paper, we propose an IoT-based health monitoring system for buildings and bridges. The system is designed to monitor the structural health of buildings and bridges in real-time and alert the authorities in case of any damage or abnormalities. The proposed system uses sensors that are placed at various locations on the building or bridge to collect data on temperature, humidity, vibration, and other parameters. The data collected is then transmitted to a central server using wireless communication technology. The server analyses the data and generates alerts if any anomalies are detected. This paper describes the design and implementation of the proposed system, its advantages, and its potential applications.

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Iot Bridges Buildings

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"Time Table" age is a time-consuming task for educators because it may be necessary to physically set up a timetable for each semester. The significant test is that the timetable should be prepared in accordance with the College plot predefined for each subject. Another imperative that has a significant impact on creating a timetable is employee responsibility, which prompts the absence of that employee for specific subjects. When creating a timetable, one should prioritise these constraints and prepare a timetable that does not overlap with their other timetables and can be used effectively. The proposed plan arrangement will aid in avoiding the complexities of physically setting and overseeing Schedule. In our plan, we will use calculations such as Developmental Calculation, Unthinkable Hunt, Recreated Strengthening, and Dissipate Mission to overcome the physical challenges of producing a plan. The framework will take into account semester-specific subjects, educators, and the instructor's responsibilities. Using these data sources, it will generate a potential timetable for the working days of the week. This will entail utilising all assets in a manner that best suits the constraints. Thus, our proposed framework will aid in overcoming the limitations that appeared in the framework, acting in plans for a variety of courses and semesters. With the wash approach, this framework will help deliver a unique result.

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colleges, time table, faculty, Courses, system, Genetic Algorithm

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Super apps are becoming increasingly popular across the world, offering a range of services from food delivery, ride-hailing, e-commerce, and financial services, among others. These apps are transforming the way people interact with technology, and their rise is causing a significant shift in the global market. This research paper aims to explore the concept of super apps and their future, focusing on their growth, impact, and potential for further development. The study analyzes the current market trends, user behaviour, and technological advancements to provide insights into the future of super apps.

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Super apps, Technology, Services, Market, Growth, User behaviour.

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Cardio vascular diseases are typically diagnosed via cardiac imaging. The primary goal of this study is to use CT imaging with a machine learning technique to diagnose heart problems (Artificial neural network). Pre-processing, segmentation, and classification are just a few of the image processing methods used. Here, segmentation and classification of the CT picture are crucial for diagnosing the condition; ANN is employed for segmentation and classification. Machine learning is emerging as the artificial intelligence tool that will aid in the diagnosis of cardiovascular disorders. For each operation, we can build a new algorithm to create precise and automated output. So that the doctor may more clearly detect heart abnormalities and proceed with further treatment, the experiment's results are helpful.

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Cardiovascular disease, CT image, Artificial Intelligence Network.

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The Memsahib in colonial India generally took every opportunity to fashion her own self with whatever the circumstances had to offer. The white women had an advantage of being away from home where women were subject to strict monitoring. The narrow minded Victorian society took any transgression seriously. Writing, which was not meant to be a woman's domain was tacitly permitted in the colonies where these women along with their male counterparts represented the Orient in their writings. Since women did not have their own role models, they emulated the male writers and selected as content for their books, matters pertaining to the colony. This is the context to this paper. Several women writers started emulating well-known Indologists and Orientalists the likes of Sir William Jones, Maxmuller, etc. They, for some reason felt a need to appear scholarly which would have been a matter of transgression back home. A scholarly self and feminine never went hand in hand in the Victorian society. But, the hunger for news in the distant colonies represented through the exotic lens of travel writers, transformed many a woman into a writer. Travel in itself was looked down upon. It was more or less equated with adventure. Women with adventurous bent of mind were the objects of ridicule. But, this again was tolerated when it came to the question of colonies because it helped replicate the social structure of Britain and was seen as essential. The fear of miscegenation was so overpowering that relaxing strict norms was imperative. Marianne Postans, writing about the Orient under such circumstances is a worthy writer to revisit since her representation of India in the role of an Oriental scholar that she dons on shows problematic spaces while reading against the grain although Postans executes it dexterously. For this paper, I will take an example of an Ode supposedly belonging to the Cutch region while touching upon the contours of such representations throughout her travel text Cutch or Random Sketches , Taken During A Residence in one of the Northern Provinces of Western India, published in 1839. It is the very opaqueness of the culture, folklore, mythology of the colonies from the white people's point of view which the Memsahib like Postans exploited to constitute and project a Scholarly Self. The paper will touch upon the ways in which she does so. But unlike the earlier Orientalists, the latter day Orientalists were negative in their attitude and Postans follows them in their negativity. This paper explores the exception to this and the politics behind the appreciation of the native Odes.

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Opaqueness, Miscegenation, Subversive, Cultural devaluation, Cultural hegemony, Dexterously, Colonialism, Orientalist

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Machine learning has a lot of potential for automated disease diagnosis. The liver is vital to life and promotes the body's ability to rid itself of poisons. Given the increasing increase in numerous chronic liver diseases, a preliminary diagnosis of chronic liver disease is required. With a population of 1.33 billion, India is the second most populous nation in the world, and millions of people are diagnosed with chronic liver disease each year. Jaundice, hepatitis (A, B, C), and non-alcoholic liver disease are a few examples of chronic liver diseases (NAFLD). They are brought on by drinking alcohol, eating tainted food, and other things including obesity. As a result, we would want a system that is trustworthy and capable of forecasting the signs of chronic liver disease. By utilising machine learning algorithms and patient data, this method forecasts Chronic Liver Diseases. Experiments and comparison analyses show that it improves classification accuracy, reduces classification time, and hence contributes in the more accurate prognosis of chronic liver disease. Accuracy, auc score, precision, recall, and f-measure are used to evaluate performance. To categorise liver patients, a variety of classification algorithms are used, and the best model is selected and applied based on the classification report and performance (Liver patient or not liver patient).

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Liver disease, Machine learning algorithm, NAFLD, disease diagnose.

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Microfinance is widely acknowledged as a potent instrument for eradicating poverty and empowering women. This study investigates the effects of microfinance on women's empowerment and poverty reduction in Uttarakhand, a state in northern India. Several sources, including academic publications, internet databases, reports, and governmental websites, were used to gather secondary data. The current study is descriptive in form and offers a critical assessment of several empirical investigations carried out in the Indian state of Uttarakhand. The results imply that microfinance benefits women's empowerment and poverty reduction in Uttarakhand. The microfinance consumers reported higher incomes, better living conditions, and easier access to healthcare and education. Microfinance has also significantly contributed to the empowerment of women by granting them financial independence, enhancing their ability to make decisions, and decreasing gender inequities. The report emphasizes the necessity of maintaining assistance for microfinance organizations to increase their influence on eradicating poverty and empowering women in Uttarakhand.

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microfinance, eradicating poverty, empowering women, and Uttarakhand.

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One of the main reasons for cancer-related fatalities worldwide is lung cancer. For a lung cancer patient to receive a good therapy and have better outcomes, early identification is essential. Lung cancer diagnosis frequently makes use of histopathological pictures of lung tissue. However using histopathological pictures to diagnose lung cancer is difficult since it takes a lot of training and experience. Convolutional Neural Networks (CNNs) are a viable method for spotting lung cancer in histopathology pictures since they have demonstrated great effectiveness in image classification tasks. In this study, we suggest a CNN-based method for detecting lung cancer using the architecture of histopathology images. Our suggested method achieves good accuracy and shows promise for enhancing the precision of lung cancer diagnosis. One of the cancers that claims the most lives globally is lung cancer. For a patient to recover, early detection and treatment are essential. Histopathological images of biopsied tissue from potentially infected lung regions are used by medical practitioners to make diagnoses. The diagnosis of different kinds of lung cancer is frequently laborious and prone to inaccuracy. Convolutional Neural Networks can more accurately identify and categorise different types of lung cancer in a shorter amount of time, which is essential for establishing the best course of treatment for patients and their chance of survival. This study takes into account benign tissue, adenocarcinoma, and squamous cell carcinoma. The accuracy of the CNN model during training and validation is 96.11 and 97.2 percent, respectively.

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Keywords: - Convolutional Neural Network (CNN), Machine Learning, Lung cancer, Histopathological Image

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UWSN faces many challenges in terms of energy consumption and routing. In recent years, energy harvesting has emerged as a promising solution to address the energy consumption issues in the UWSN. It faces many challenges in terms of energy consumption and routing. In recent years, energy harvesting has emerged as a promising solution to address the energy consumption issues in the UWSN. Routing protocols play a crucial role in ensuring efficient communication in the UWSN. In this context, the implementation of a routing protocol that takes into account the energy harvesting capabilities of UWSN nodes is essential to maximizing network lifetime. In general, localized or non-localized deployment techniques can be used to place the sensor nodes in the UWSN and WSN. So far, balancing energy usage has been a difficult problem in both networks. When it comes to UWSN and WSN, inefficient energy use has an impact on network metrics like stability period, node mobility, transmission rate, end-to-end latency,and packet delivery ratio. Most previous routing protocols are based on cooperation and clustering but do not implement an energy harvesting technique at Sensor nodes. Therefore, this research suggests an Analytical Approach towards Reliability with Cooperation for the UWSN's Energy Harvesting (ARCUNEH) Protocol. A modification of the already-proposed ARCUN protocol is called ARCUNEH. The suggested method selects relay nodes from one of their surrounding nodes based on the sensor node's collected vitality level. In UWSN, we directly implement ARCUNEH, while at WSN, we implement the modified EH based on environmental conditions. The ARCUNEH approach combines Piezoelectric Energy Harvesting and the amplifying forwarding (AF) technique at sensor nodes in order to increase the stability and lifetime of sensor nodes at UWSN and WSN. Finally, in this proposed method's simulation, It is compared to both network metrics, including the lifetime of the network, packet delivery ratio, energy consumption, and throughput. According to our simulation study, ARCUNEH performs better than LEACH. According to our simulation study, ARCUNEH performs better than LEACH, ARCUN, and RACE. Hence, both WSN and UWSN network sensor nodes can use the ARCUNEH Energy Harvesting Protocol to collect energy.

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Energy harvesting Algorithms,Energy Efficiency,WSN,UWSN,ARCUNEH

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Cryptography is a process to secure data transmission using Encryption and decryption over the internet. This paper proposed concept to enhance the data encryption and decryption security by using combination of both Cryptography and Steganography techniques. In Cryptography there is used Rivest-Shamir-Adleman (RSA) Algorithm. In Steganography there is used Image Steganography for hiding the data. Through using combination of both cryptography and steganography security of data is increased which is also known as CRYPTO-STEGO Approach. This satisfies all services in Cryptography i.e., Access Control, Confidentiality, Integrity, Authentication. And data can be maintained more securely. There can used RSA for encryption of data and Steganography approach to hide the data in an image so that data can not be accessed by anybody in network and only sender and receiver can retrieve the data from message file.

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RSA Algorithm, Cryptography, Steganography

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 Abstract

Background of the Study: COVID-19 has overwhelmed healthcare services in various nations. Prolonged hypoxemia is a common presentation in patients with severe COVID-19. Several hospitalised COVID-19 patients had ARDS, which requires invasive mechanical breathing and intensive care. Prone position enhances the ventilation/perfusion ratio and recruitment of the dorsal lung segments, resulting in the opening of collapsed dorsal alveoli with enhanced gas exchange and oxygenation. Aim of the study: To examine the effect of prone versus semi-fowler's positions on peak expiratory flow rate and respiratory rate among Post Covid patients treated in LHDM & Dr Prem Hospital, Panipat. Haryana. Research Methodology: This study used true quasi-experimental design. Group 1 was given prone position, while Group 2 was given semi-position. fowler's This study used non-probability purposive sampling. LHDM & Dr Prem Hospital, Panipat post-covid patients provided data. Group 1 received prone positioning, whereas Group 2 received semi-position. fowler's Before situating the individuals in both groups, the researcher examined peak expiratory flow rate and respiratory rate and gave them the prescribed position for 30 minutes. The subjects were asked to maintain the position for 12 hours per day as comfortable. Post-test assessment occurred seven days after positioning. Descriptive and inferential statistics analysed data. Results: Experimental group PEFR values were 525.27 + 38.868 post-test. Control group mean and standard deviation values were 498.87 + 82.582 at post-test. Their mean difference was 428.6 and their paired "t" test value was 26.4 for 58 degrees of freedom. This is substantial at 0.003. Hence, experimental and control group post-test PEFR levels differed. Conclusion: Post-covid patients' PEFR was higher in prone position than semi- fowler's. The researcher recommends prone and semi-for fowler's post-covid patients' respiratory characteristics.

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Prone, Semi-fowler, Post Covid, PEFR,

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Aim of the Study: To assess the effectiveness of modified ABCD bundle on level of ICU psychosis among cardiac post-operative patients in the experimental and control group. Methodology: The research design used in this study was true experimental post-test only design with 60 sample using simple random sampling technique, with 30 each in the experimental and control group. The informed consent was obtained after collecting the demographic data. The patients in the experimental group were administered the modified ABCD bundle. Awakening aspect of orientation was given to the patients during the pre-operative day, whereas the other components were given during the post-operative period. The patients in the control group were administered with hospital routine care.The post-test level of ICU psychosis was assessed using the Intensive care delirium screening checklist. The post-test I was conducted on the 3rd POD and the post-test II was conducted on the 4th POD. Both the post-test levels of ICU psychosis were measured using ICDSC. The data were coded and entered in the main coding sheet. Results: The experimental group's post-test I level of ICU psychosis was 1.20 with SD 1.09. The control group scored 3.23 with SD 1.67. The experimental group had a mean post-test II ICU psychosis score of 0.63 with SD of 0.81, while the control group had 3.06 with SD of 1.74. The student's unpaired t-test showed great statistical significance between the experimental and control groups in post-test I (t = 5.565 at p<0.001), proving that modified ABCD bundle reduced ICU psychos in cardiac post-operative patients. The student's unpaired t test (t=6.944atp<0.001) showed that modified ABCD bundle had sustained substantial impact on ICU psychosis in cardiac post-operative patients. The paired 't' test showed that the experimental group's post-test I and II ICU psychos levels were statistically significant at p<0.001 with t=2.984. The modified ABCD bundle reduced cardiac post-operative ICU psychosis immediately and permanently. The results also showed that the post-test I level of ICU psychosis in the experimental group was associated with gender, marital status, and occupation (p<0.05, p<0.001, and p<0.05, respectively). Male married and skilled employees had sub-syndromal delirium. Conclusion: The findings verified that modified ABCD bundle was very effective in reducing the level of ICU psychos is of patients who under went cardiac surgery and can be used as a non-pharmacological measure to reduce ICU psychos is during ICU stay.

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Assess, Effectiveness, Modified ABCD Bundle, ICU Psychosis, Post Operative Cardiac Patients.

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 Abstract

In this paper, the design and perpetration of SENSEPACK- a smart system to cover room terrain of mushroom civilization ranch is reported. The system measures the temperature, moisture, light and CO2 position with applicable detectors. The attained data can be employed to control the terrain of the nursing room with the help of external bias similar as water pump, exhaust addict, light bulb and air conditioner. An android/ web- grounded operation has been developed for the ease of covering the system. The software operation allows robotization and remote operation of the external bias to maintain and control the optimum environment.

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Mushroom, Cultivation, Android, Raspberry pi, Wireless sensor networks, Sensors, IOT,Monitoring.

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Warehouse management is a critical aspect of logistics operations, and businesses must address various issues to ensure efficient warehouse operations. This research paper examines the key issues faced by warehousing department, including inventory control, space utilization, personnel management, and technology integration. The paper explores the challenges and strategies associated with managing inventory levels, including the use of forecasting and inventory optimization tools. The importance of effective space utilization is discussed, along with strategies for organizing and optimizing warehouse layout. Personnel management is also examined, highlighting the significance of staff training and development to ensure efficient and productive operations. Lastly, the paper explores the impact of technology on warehouse management, including the use of automation and data analytics to improve efficiency and reduce costs. The research concludes that effective warehouse management requires a comprehensive approach that addresses these issues and leverages the latest technologies to optimize operations.

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Inventory control, warehousing department, automation.

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