Volume 10 | Issue 6

 Abstract

The purpose of this report is to study and to explore the impact of internet and digital media on reading habit. Traditional reading habits of library users have now change with the changing environment and working culture. People are now looking for an opportunity to read contents in electronic mode. It reduces the burden over the person to keep staying inside the library and now person can even read contents while travelling or while moving around the world. Traditional libraries and digital libraries supple each other to meet the needs of various kinds of readers. Younger generation students sometimes prefer reading through the internet or following up book reviews as such opportunities can be thought as effective means for fostering reading habits. Reading is influenced by many factors like environment, subject, background, age etc. Libraries are under the influence of modern technologies which have converted the functional activities in all walks of life.

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 Keywords

Digital Media, Internet, Digital libraries, Library users, Attitudes towards reading.

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Abstract: - Melon (Cucumis melo L.) has a high economic value, and its production has increased in recent years; however, a portion of the fruit is wasted. During processing and consumption, inedible parts such as peel and seeds are typically discarded. Melon residue extracts were studied and their phenolic compounds, antioxidants, and antiproliferative activities were investigated. Melon, due to its pleasant taste and diverse chemical composition, is an excellent source of biologically active compounds for humans. Melon contains glucose, fructose, vitamin A, D, C, K, E, and some vitamins from group B. Total phenolic compounds were discovered in hydroethanolic, hydromethanolic, and aqueous extracts, particularly melon peel (1.016 mg gallic acid equivalent/100 g). The total flavonoid content of melon peel aqueous extract was found to be 262 mg of catechin equivalent (CA)/100 g. Significant amounts of gallic acid, catechin, and eugenol were found in all melon peel extracts. Total antioxidant capacity, expressed as ascorbic acid equivalent, was 89, 74, and 83 mg/g for hydroethanolic and hydromethanolic extracts in peels and hydromethanolic extracts in seeds, respectively. Cold pressing was used to extract the oil from the seeds, which was then tested for parameters such as iodine value, saponification value, and fatty acid profile. The findings revealed a high iodine value as well as the presence of polyunsaturated fatty acids like omega-6 (linoleic acid) and monounsaturated fatty acids like omega-9 (oleic acid). It also contains saturated fatty acids like palmitic and stearic acid. The seeds offer potential for development as value-added products, dietary supplements, and medicines.

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 Keywords

Musk Melon seeds, Nutritional Analysis, Phytochemical Analysis, Antioxidant Activity

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The present study aims to study the overall happiness among school students of Punjab and also gender wise happiness of school students of Punjab. The sample of the study was 1075 students of six districts of Punjab. Descriptive method of study was used for the study. Happiness scale prepared by investigator herself was used as a research tool to collect data. It has been found that school students of Punjab possess above average level of happiness. It has also been revealed that there was found no significant difference in the mean scores of happiness in relation to gender of school students.

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Happiness, school students

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Forecasting is one of the techniques that incorporate the e-commerce industry for a sweet manufacturer by analyzing the historical data and key elements that would aid in the company's profitability and growth. By consolidating the data from the business time, the key factors of various attributes can be found. In this article, the Box-Jenkins of Autoregressive Integrated Moving Average (ARIMA) approach was used to apply and forecast the company's sales by taking (2,78,559) daily sales observations over a period of six months. Several suitable time series models have been created, and several performance criteria have been utilized to compare models. The analysis revealed that the ARI (0,1,1) model is sufficient for forecasting sales.

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ARIMA, time-series, forecasting, sales

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Road accidents have become a common phenomenon in these modern days. Reasons for road accidents are many. Driver drowsiness can be considered one of the major distractions that may lead to a road accident. To reduce the frequency of road accidents driver drowsiness system is made. This system is a safety alarm system that indicators the driver every time the driver feels drowsy. The eye movement of the driver is monitored and each time the driver feels asleep or closes their eye for a certain frame then it signals the driver with the help of an alarm. This is carried out by means of the usage of a machine learning and deep learning model to identify the face of the driver using a camera and analyze the state of the driving force. Two different algorithms are used to raise the detection accuracy, namely, Support Vector Machine (SVM), and Convolution Neural Network (CNN). SVM uses an Eye Aspect Ratio (EAR) for training the model. CNN uses the MLR eye dataset is used to train the model. The findings of this study show that CNN achieved the best result compared to SVM.

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Deep Learning, Machine Learning, Convolution Neural Network, Support Vector Machine

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The National Education Policy (NEP) 2020 is the long awaited policy after 1986. The policy brings a revolutionary change in all the dimensions of education and the importance given to education technology in the NEP is welcome. To develop a knowledge society we have to inculcate the required skills among the children which are our legacy. We have to develop among them the power to imagine, to explore, and create a more sustainable world. In this regard the policy has given some important recommendations in the extensive use of technology in teaching and learning process. Therefore the present paper is based on policy document (NEP2020) analysis and highlighted some important vision, mission, policy goals towards ICT & building a self reliant Gujarat by creating an Educational Digital Infrastructure and Capacity in Gujarat state. Gyankunj is a school digitalization programme to enhance classroom interactivity and teaching-learning process with the help of technology tools, like Projector, Interactive Infrared Camera, Laptop, Speaker, Whiteboard, Wi-Fi Router Extender etc. It aims to reinforce teaching-learning and evaluation process. This paper publish for know about gyankunj project and its objectives.

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gyankunj , ict ,digitalization, education

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Since low-energy emulsification methods like spontaneous or self-nano emulsification were reported, there has been a resurgence of interest in nanoemulsions for diverse medicinal applications. Self-nano emulsifying drug delivery systems (SNEDDS) are anhydrous homogeneous liquid solutions of oil, surfactant, drug, and co-emulsifier or solubilizer that spontaneously produce oil in water nanoemulsions of 200 nm or less in size when diluted with water and gently stirred. The selection of SNEDDS components is heavily influenced by physicochemical features, drug solubilization capability, and physiological destiny. Phase diagrams may be utilized to optimize the composition of SNEDDS, while statistical experimental design can be used to further optimize SNEDDS. Nanotechnology has become a buzzword in the pharmaceutical sciences, and attempts are underway to broaden its uses across the board. Over the last two decades, nanotechnology has had a significant impact on drug delivery research, and numerous nanoscale technologies/carriers have been and are being investigated for increasing medication therapeutic performance. SNEDDS conversion from liquid to solid Researchers have also produced SNEDDS dose forms that may be taken orally or in solid form. SNEDDS has the potential to improve patient compliance while also reducing the difficulties that come with liquid SNEDDS-filled capsules.

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Nano Technology, SNEDDS, nano-emulsion, self-nano emulsification

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This project deals with CMOS two stage op-amp and gain differential amplifier using CADENCE 180nm technology. The main objective is to design a differential amplifier which removes the noise from original signal and amplifies the actual signal. Differential amplifier (diff amp) in connection with common source amplifier (CSA) is proposed to achieve gain. The two stage op-amp is designed to suppress the unwanted noise signals.

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Op-amp, CSA, CMRR, CADENCE VIRTUOSO 180nm

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Millions of people around the globe suffer from various disease per annum. Extensive part of these infections is hand acquired infections. World Health Organization suggests hand hygiene as a primitive precaution focus to decrease the infection rates. We evaluated various aspects related to the occupational behavior and prioritization regarding hand hygiene measures among the College students, Department of Microbiology, Dr.N.G.P Arts and Science College, Coimbatore, Tamilnadu. Gram positive cocci were found in abundance followed by Gram positive rods. The antibiotics resistance profile showed that the isolated bacterial strains were mainly sensitive to Streptomycin, whereas, majority of the isolates were resistant to cefixime - a third generation Cephalosporin. Methicillin resistance was also found common among Staphylococcus spp.The study indicated the resistance spread among the opportunistic normal flora and the role of unhygienic hands in their transmission.

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Hand hygiene,Kirby-bauer test,MRSA,Colony forming unit

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Solubility is the process of soluble solids in a liquid phase to give the same system. Solubility is one of the most important parameters for achieving the desired concentration of a drug in the distribution system to reflect the drug response. Water-soluble drugs usually require high doses to achieve plasma concentration after treatment orally. Low-melting aqueous melting is a major problem encountered with the construction of new chemical enterprises. Any medicine to be absorbed should be present in the form of an aqueous solution in the place of absorption. Water is the solvent of choice in the manufacture of pharmaceutical liquids. Most drugs have a weak acid and a poor foundation water melting. Therefore various methods are used to improve the solubility of soluble drugs including micronization, chemical modification, preparation, solid dispersion, compaction, mixing, micellar solubilization, hydrotropy etc. The purpose of this review article is to explain solubilizaton techniques for effective absorption and improved bioavailability

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-Particle size, cosolvents, Temperature,Pressure Molecule size.

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Iot Based Greenhouse Monitoring System using Arduino primarily focuses on the improvement of current agricultural practices by using modern technologies for better yield. This work provides a model of a smart greenhouse, which helps the farmers to carry out the work in a farm automatically without the use of much manual inspection. Greenhouse, being a closed structure protects the plants from extreme weather conditions namely: wind, hailstorm, ultraviolet radiations, and insect and pest attacks. The irrigation of agriculture field is carried out using automatic drip irrigation, which operates according to the soil moisture threshold set accordingly so as optimal amount of water is supplied to the plants. Based on data from soil health card, proper amount of nitrogen, phosphorus, potassium and other minerals can also be supplied by using drip fertilization techniques. Proper water management tanks are constructed and they are filled with water after measuring the current water level using an ultrasonic sensor. Plants are also provided the requisite wavelength light during the night using glowing lights. Temperature and air humidity are controlled by humidity and temperature sensors and a fogger is used to control the same. Using Wi-Fi module data from sensors can be observed in our mobile phones and so efficiency is improved. Hence this project improves plant quality and yield.

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Greenhouse, Soil Moisture Sensor, Temperature and Humidity Sensor, LDR sensor, Wi-Fi module, Arduino Uno

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In these days of the 4th industrial revolution, real-time object detection and dimensioning is an important aspect from an industrial point of view. These are requisite topics of computer vision problems. This study presents an augmented technique for detecting objects and computing their real-time measurements from an IoT video device such as a webcam. We have suggested an object measurement technique in real-time using AI and IoT technologies like OpenCV libraries and webcam respectively. OpenCV includes many libraries and algorithms that are used. And we are using Algorithms like canny edge detection algorithm[2] and mobile/ web camera capture video in this paper. The Project has four stages: (1) capturing image (2) object measurement process (3) save output (4) displaying output.

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Object dimension measurement, OpenCV, computer vision, Webcam, NumPy

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Smart Helmet, Accident Detection, GSM, Sensor, Microcontroller

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Urolithiasis is commonest problem which has been engaged by many practitioners during last 3 decades and which has to be looked into and many think that diet is the most common cause leading to precipitation of stone. By our study we want to prove how far diet play a role in causing urolithiasis along, as homoeopathy is well proved science and there is enough proof to show that and again we are proving that in our project.

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Renal stone, Homoeopathic Medicine, Diet, Calculi, colic

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In computer field security and protection, the recognition of object is very important to take particular action becomes very necessary for making decisions. Due to increase in scientific development in the information, computer vision and programming techniques, which make an image a very important role in multiple zone such as medicine media, education, design, industry, security etc. This proposed system make use of face identification on the basis of dataset and helps in the scenario for detection mask on face, which helps to prevent the spreading of virus at certain level with specific application.

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Dataset, identification, detection, security, application

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ML, Diabetes, Heart disease, Brain Tumor, XGBoost, CNN

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Keywords: Autism, Neurodevelopmental, Quality of life, Daily living skills.

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