Volume 9 | Issue 6

 Abstract

Currently, job satisfaction is seen as a success of work who also regard it as one of the core issues in organisational growth. The definition of job satisfaction and its effect on work and life balance is more than just a matter of interest. The performance, productivity and survival of all organisations are decisively determined by employees. It is necessary to understand the motivation and the degree to which the organisation and other contextual variables are fulfilled. The employee can help further to the success of the company, who can maintain a balance between private and professional life and has a high level of satisfaction. The satisfaction of work, and work and life balance can be determined by a variety of factors, which can include social factors, psychological factors, the work environment, the nature of work, job satisfaction, family history, home and life schedules (Bailyn, Drago & Kochan, 2016). In the 1970s, scholars and academics began trying to combine work and personal lives and find the best way and balance work. The balance of work-life is highly competitive and workers feel that due to higher job demands, they are unable to manage their personal lives and families. They face difficulties in fulfilling family responsibilities and their impact on productivity that must be understood to recruit employees and make them productive within their organisations (Krishnan & Loon, 2018).

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The Influence of Work-Life Balance on Job Satisfaction among Freelances in Malaysia

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This paper communicates a study that focuses on constructing functional direction for conserving graphic prints and artworks on paper. Art on paper like prints, drawings, and watercolors are innately delicate yet can be effectively and successfully shielded from harm. Artists like Printmakers as well as gallery professionals, education institutions, students, and contemporary artists working on reproduction and mass items in the field, this created recommendation ought to be valuable to all.

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Prints, Graphics Printmaking, Paper Artwork, Paper

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This review paper offers data approximately the Strength, Speed, Torque Transmissibility of Elbow mechanism as this are very a lot crucial phrases in defining programs of the mechanism in substitute of gears. It especially targeted at the theoretical, analytical and FEA technique. Computation of diverse parameters like Number of pins, Material used Dimensional distinction of elements, Speed, Torque. Many preceding method have been made to discover the ideal layout with the intention to make this mechanism higher then antique mechanism through the usage of extraordinary evaluation software. It consist Theoretical & Analytical technique for the layout of elbow mechanism.

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Transmission System, Gearless Transmission, Elbow Mechanism, Orbital transmission.

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A contract is not a property. It is only a promise supported by some consideration upon which either the remedy of specific performance or that of damages is available. Every breach of contract upsets many a settled expectation of the injured party. He may feel the consequence for a long time and in a variety of ways. The consequences of a breach may be endless, but there must be an end to liability. The defendant cannot be held liable for all that follows from his breach. There must be a limit to liability and beyond that limit the damage is said to be too remote and, therefore, irrecoverable. The problem is where to draw the line.

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Damages, liable, liability, breach, contract etc.,

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The early detection and diagnosing of COVID-19 and therefore the correct separation of non-COVID-19 cases at the bottom cost and within the early stages of the illness are among the most challenges within the current COVID-19 pandemic. regarding the novelty of the illness, diagnostic strategies supported tomography pictures suffer from shortcomings despite their several applications in diagnostic centers. consequently, medical and pc researchers tend to use machine-learning models to investigate radiology images. Material and strategies. the gift systematic review was conducted by looking out the 3 databases of Pub Med, Scopus, and net of Science from All Saints' Day, 2019, to July 20, 2020, supported an enquiry strategy. a complete of 168 articles were extracted and, by applying the inclusion and exclusion criteria, thirty seven articles were hand-picked because the analysis population. Result. *is review study provides an summary of the present state of all models for the detection and diagnosing of COVID-19 through radiology modalities and their process supported deep learning. per the findings, deep learning-based models have a unprecedented capacity to supply Associate in Nursing correct and economical system for the detection and diagnosing of COVID-19, the employment of that within the process of modalities would result in a big increase in sensitivity and specificity values. Conclusion. *e application of deep learning in the field of COVID-19 radio-logic image process reduces false-positive and negative errors within the detection and diagnosing of this illness and offers a singular chance to supply quick, cheap, and safe diagnostic services to patients.

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Covid19 , Machine Learning , Data Science

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An important part of our life, internet has enabled many machines and devices we use in everyday life to be monitored and controlled remotely through Internet of Things (IOT) technology. Thanks to IOT technology, smart health applications have become a rapidly growing sector. For individuals with heart disease, the Heart Rate (HR), Heart Rate Variability (HRV) and Body Temperature (BT) values are considered vital signs that must be measured regularly. In this study, an android-based application is developed that can monitor HR, HRV and CT parameters for cardiovascular patients who should be under constant observation. The measuring system, which consists of wearable sensors, constantly measures patient signs. Then send the measured signals to android interface via wireless connection. If the predetermined critical values for the patient are exceeded, the HR, HRV, CT values and also the real-time location of patient is sent both to family members and doctor as e-mail and twitter notification. The wearable measurement system allows patients to be mobile in their own social environment, allowing them to live their lives in confidence.

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predetermined cardiovascular Variability

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A nutritious avocado turmeric spread was designed for every individual who loves spreads which are not only tasty but healthier too. Avocado turmeric spread was developed with homemade cream, homemade ghee, turmeric, powdered sugar, avocado, black pepper and salt, without preservatives and food additives. The product provided fairly good amount of energy, protein, fats, sodium, potassium and calcium. Shelf life study was done of the product using 5 point hedonic scoring test on attributes such as appearance, aroma, color, texture, taste and spreadability. The other aspects studied included designing a nutritional label, packaging, and costing. The product was marketed using digital platform to see its acceptability.

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Avocado, Turmeric, Ghee-based spread, Fruit spread, Gluten free, Nutritious spread.

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Farming is the most important factor for yielding the crops. India is the agriculture-based country and many people are completely depended on agriculture harvesting because it is a major source of employment. For this reason, we proposed automatic irrigation system and soil moisture controlled by Wi-Fi module. Here we developed an automated watering system which can help farmers in water level management for controlling the motor and tests the soil moisture. In this project we also proposed a solar system for power consumption and providing a security for protecting the crop fields from animals. The main aim of this project is to help farmers by reducing water use, increasing soil fertility and saving time.

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Node MCU, Soil Moisture Sensor, Motor Driver

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This research paper examines progress made in Atomic Layer Deposition (ALD), both for computational and experimental methodologies, and provides an outlook of this emerging technology in comparison with other film deposition methods. This paper discusses experimental approaches and factors that affect the deposition and presents simulation methods, such as molecular dynamics and computational fluid dynamics, which help determine and predict effective ways to optimize ALD processes, hence enabling the reduction in cost, energy waste and adverse environmental impacts. Specific examples are chosen to illustrate the progress in ALD processes and applications that showed a considerable impact on other technologies.

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atomic layer deposition, molecular dynamics, computational, thin film etc.

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Chromatography is defined as a set of techniques which is used for the separation of constituents in a mixture. This technique involves 2 phases stationary and mobile phases. The separation of constituents is based on the difference between partition coefficients of the two phases. The chromatography term is derived from the greek words namely chroma (colour) and graphein (to write). The chromatography is very popular technique and it is mostly used analytically. There are different types of chromatographic techniques namely Paper Chromatography, Gas Chromatography, Liquid Chromatography, Thin Layer Chromatography (TLC), Ion exchange Chromatography and lastly High Performance Liquid Chromatography (HPLC) HPLC is the dominant separation technique to detect, separate and quantify the drug. A number of chromatographic parameters were analyzed to optimize the method like sample pre treatment, choosing mobile phase, column, detector selection. The objective of this article is to review the method development, optimization and validation. HPLC method development depends on chemical structure of the molecules, synthetic route, solubility, polarity, pH and pKa values, and functional groups activity etc. Validation of HPLC method as per ICH Guidelines gives information regarding various stages and knowing characteristics like Accuracy, specificity, linearity limit of detection, limit of quantification.

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Chromatography ,High Performance Liquid Chromatography , Instrumentation, Elution , Application ,Mobile phase

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Organics, chemical fertilizers play a crucial role for improving crop yield and soil properties. The impact of fertilizers on soil properties intensively for banana and cotton cropping system with organic; chemical and mixed (organic + chemical) treatments assessed for Raver tehsil of Jalgaon district. Remote sensing techniques using visible near-infrared diffuse reflectance spectroscopy has been demonstrated to be a fast tool for estimating a large number of physicochemical soil properties, and effective features extracted from spectra are crucial to correlating with these properties. The FieldSpec4 spectroradiometer was used for spectral data acquisition then Sand, silt, clay, SOM, moisture, pH, carbon, nitrogen, phosphorous, potash soil physical and chemical properties are assessed from spectral data. The PLSR modeling approach was evaluated in the present study to achieve spatial prediction of soil properties. Results of Partial Least Square Regression modeling showed significant prediction of physicochemical soil properties with regression coefficient values (R2) showed highly correlation. The results indicated that PLSR modeling were suited for soil physicochemical properties prediction of spectral data. This techniques is best suited for large scale of remote sensing spectral data.

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soil properties, fertilizers, spectroradiometer, PLSR

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The interest of National Archives in some Arab countries in developing the skills of records managers, and preparing qualified and trained staff to work in records centers is growing steadily. This trend on the part of the Arab National Archives coincides with the initiation of National Archives in some developed countries to provide training programs for records managers to provide them with sufficient knowledge and skills for the requirements and practices of electronic records management. This study presents the types and contents of training programs of records management in a number of foreign and Arab National Archives to extract the most important guidelines and practices that officials in the Arab archives centers can benefit from in planning and developing continuous training programs for electronic records managers. The study uses the descriptive analytical method in collecting data related to training programs in the National Archives it covers. Yet, it uses the comparative approach to compare some features of training programs among National Archives. In collecting data, the study relied on several tools, including a list of questions sent by e-mail to those responsible for training in US National Archives, and e-mail communication with those responsible for training in the other National Archives covered in the study so that the researcher can complete data related to the training programs provided. The study examined the features of training programs of electronic records managers provided by National Archives, such as training objectives, training techniques, trainers, trainees, training curricula, program duration (short-term or long-term), regularity of the program, the means of its presentation (seminars, webinars, etc...). Among the results of the study is that some document laws in the Arab countries (such as the Sultanate of Oman, Tunisia) emphasized the role of the National Archives in assisting the document departments in institutions to train records managers to be qualified to work in document departments. Moreover, Arab archives need to adopt long-term training programs to develop the skills of records managers in electronic records management, and to provide through its websites e-learning packages (webinars, workshops, video recordings, etc.) which can be used as a part of the training and update of information related to records management and the technologies used.

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Electronic records management, National Archives, training programs, records managers training.

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statistics is a major tool in pharmacological research that is used to sum up experimental data in terms of central tendency like mean or median and variance like standard deviation, standard error of the mean, confidence interval or range but more importantly it authorize us to managing hypothesis testing. It is the science that helps in control medical uncertains. It is consist of different steps like generation of hypothesis, collection of data and importance of statistical analysis in medical reasearches and experimental pharmacology.

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Social networking sites have gained much popularity in last decades. People are more connected to such platforms like twitter and give updates about their opinions and also their current situations. A major amount of data generated now a days is through such sources. By classifying these data through sentiment analysis ,we can acquire many fruitful informations. Sentiment analysis is a method in text analysis that is very suitable for such social media evaluation. So, by proposing a real time system we can find enough information regarding Covid situation for predicting the future of this pandemic. Also we use machine learning models here for real time analysis.

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Twitter, Sentiment analysis, Machine learning

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Today information handling is become an integral part of our day to day life as it is available in abundance. The information from the internet can be used for various purposes from Security to Healthcare management. It can decrease the load on a human being to handle the data manually. So, to highlight the importance of information handling to the society we choose medical field where images are in abundance on the internet. The analysis of images for decision making in medical perspective can be a boon to the medical field and decrease the work of the doctor and increase his productivity to a new level. The cancer has become a menace these days. Cancer is a major health problem. Computer-aided diagnosis (CAD) systems can be used to provide an insight to the cancer specialist and help him to diagnose the various stages of cancer using images and CAD. So, we thought of designing a system which will help in cancer detection and handling various stages of cancers using cancer images as the backend of our application. In our proposed system we are going to accumulate a lot of images from various cancer image databases which are available free on the internet. Then we will apply machine learning to it. Thus, our results will be divided in three categories benign, malignant and normal using machine learning algorithm CNN. Thus, our system will help and improve the decision making and productivity of a medical practitioner.

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91

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Recently, within the family of FACTS, the distributed power flow controller is an additional device. This paper highlights on voltage sag mitigation which is one of the burgeoning power quality issues. It deals with the working concept of distributed power flow controller for compensating unbalanced three phase line currents in the transmission system. The single phase series converters of DPFC are able to compensate. The unique control capability of the UPFC is given by the back-to-back connection between the shunt and series converters, which allows the active power to freely exchange. To ensure the DPFC has the same control capability as the UPFC, a method that allows active power exchange between converters with an eliminated DC link is required. An unsymmetrical fault (L-G fault) is considered near the load end side. A proper selection of controlling variables of DPFC relieves the load voltage sag, compensates the unbalance and diminishes the load voltage harmonics in few seconds. Furthermore the performance of DPFC is simulate using Matlab simulink and results denote an improvement in power quality

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DPFC, power flow control, reduction of load voltage harmonics, voltage sag mitigation, unbalance fault condition

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Use of tramadol in treatment of osteoarthritis. safety and efficacy of tramadol over NSAIDS for OA.

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Tramadol Osteoarthritis OA Arthritis SNRI

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selection, order, payments.

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Abstract: Background: - Annual production of banana in the fiscal year 2020 was approx. 14.2 million tons in India. Banana fruits have 35-40% of peel waste. From an environmental point of view, it is vital that plant byproducts produced by the food industry be reused. One of the best ways to reuse the peel waste is to extract the valuable bio-nutrient from the banana peels. One such bio nutrient is pectin. Since, banana peels have 20.28g pectin/100g of dry matter. Objective: - 1) Study the various methods available for extraction of pectin from banana peels and their yield comparison. Conclusion: - Methods compared in this study is 1) solvent extraction 2) microwave-assisted extraction 3) ultrasound-assisted extraction 4) enzymatic extraction. All methods have successfully extracted pectin. The hot acid method has given the maximum yield. kepok banana peel has shown great potential for use in the food industry. Thus, on further purification and optimization banana peel extracted pectin can be used in the food industry

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pectin; Banana peels; Extraction; kepok banana peels.

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 Abstract

"JAUNPUR NAGAR KE BARHATI JANSANKHYA : KARAN PRABHAV EVAM NIVARAN"

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"JAUNPUR NAGAR KE BARHATI JANSANKHYA : KARAN PRABHAV EVAM NIVARAN"

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