Volume 11 | Issue 5

 Abstract

Water scarcity is one of the major problems in the world and millions of people have no access to freshwater. Untreated wastewater is widely used for agriculture in many countries. This is one of the world-leading serious environmental and public health concerns. Instead of using untreated wastewater, treated wastewater has been found more applicable and ecofriendly option. Moreover, environmental toxicity due to solid waste exposures is also one of the leading health concerns. Therefore, intending to combat the problems associated with the use of untreated wastewater, we propose in this review a multidisciplinary approach to handle wastewater as a potential resource for use in agriculture. We propose a model showing the efficient methods for wastewater treatment and the utilization of solid wastes in fertilizers. The study also points out the associated health concern for farmers, who are working in wastewater-irrigated fields along with the harmful effects of untreated wastewater. The consumption of crop irrigated by wastewater has leading health implications also discussed in this review paper. This review further reveals that our current understanding of the wastewater treatment and use in agriculture with addressing advancements in treatment methods has great future possibilities.

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STP , WTP , FL , TREE REPLANTATION.

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The Meg is a science fiction thriller film released in 2018, helmed by director Jon Turteltaub. It is an adaptation of the novel Meg: A Novel of Deep Terror written by Steve Alten and representation of ecological imbalance and human impact on the environment in the film. By examining the portrayal of nature and the environment, the study explores how human activities disrupt the delicate balance of ecosystems and examines the potential consequences of this ecological imbalance. Through an ecocritical analysis, the paper delves into the themes of human-induced environmental damage and the subsequent effects on the natural world. Furthermore, the research highlights the significance of adopting sustainable practices and promoting environmental consciousness to prevent further harm to the ecosystem. By emphasizing the importance of environmental sustainability, the paper advocates for a shift published in 1997. This research paper applies an ecocritical lens to analyse the towards more ecologically responsible actions to mitigate the negative impacts of human activities on the environment.

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 Keywords

Ecocriticism, "The Meg", ecological imbalance, human impact, environment, nature, representation, sustainability, scientific expedition, megalodon shark, deep-sea habitat, potential consequences.

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The use of Arduino, a platform for open-source hardware and software, to construct a 3D scanner. Using a variety of scanning methods, the scanner is intended to record the physical shape and measurements of items. By scanning items with a laser or structured light source and detecting the reflected or scattered light using a camera or photodiode array, the scanner will be able to record the 3D geometry of the objects.

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3D scanner usingArduino

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Leech therapy has been practiced for long time and it is still practiced in both human and Veterinary Medicine. Hirudotherapy is used in Veterinary Medicine, especially when traditional treatment is not effective, after surgery and when the tissue is threatened by venous congestion. The main objective of thisseminar paper is to overview importance and prevalence of Leeches in Veterinary Medicine. The most common species of medicinal Leech are includes: Hirudo medicinalis, Hirudo asiatica, Hirudomanellensis, Hirudo Orientals, Hirudo michaelseni, Hirudo nipponia, Hirudo granulose and Macrobdelladecora. Saliva of Leech contains various bioactive compounds such as: hirudin, hyaluronidase, calin, destabilase, apyrase, eglins, bdellins, decorsin, hirustatin, tryptase inhibitors, and histamine like substances, complement inhibitors, carboxypeptidase A- inhibitors and acetylcholine.

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Leeach therapy, medicinal, therapy, antibiotic, treatment.

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Abstract: The bone is a major component of the human body. Bone provides the ability to move the body. The bone fractures are common in the human body. The doctors use the X-ray image to diagnose the fractured bone. The manual fracture detection technique is time consuming and also error probability chance is high. Therefore, an automated system needs to develop to diagnose the fractured bone. The Deep Neural Network (DNN) is widely used for the modeling of the power electronic devices. In the present study, a deep neural network model has been developed to classify the fracture and healthy bone. The deep learning model gets over fitted on the small data set. Therefore, data augmentation techniques have been used to increase the size of the data set. The three experiments have been performed to evaluate the performance of the model using softmax and Adam optimizer. The classification accuracy of the proposed model is 92.44% for the healthy and the fractured bone using 5 fold cross validation. The accuracy on 10% and 20% of the test data is more than 95% and 93% respectively. The proposed model performs much better than [1] of the 84.7% and 86% of the

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Keywords- Bone fracture, Deep Learning, Fracture detection, Fracture classification

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Abstract Winter sports are the sports that are played in higher altitude regions. Winter sports have a history of about more than 100 years. The first Winter Olympic Games took place in 1924 in France, since then European countries are dominating the game whether it is about achieving medals or hosting the events. India's first participation in the Winter Olympics was in the year 1964, since then India has participated in 11 Winter Olympic Games but is still searching for their first medal in the Games, whereas India has achieved medals in the Asian championships several times. Khelo India winter games is a new chapter in the field of winter sports in India which is helping in the promotion of the winter sports. The Winter Olympic Games have been hosted only on three continents by thirteen countries since 1924, in which none of the cities from the southern Hemisphere have ever hosted the Olympic Games. In the 2022 Winter Olympic Games 91 countries participated which is very less from 206 of the Summer Olympics. Europe has its dominance in the Winter Olympic Games medal tally as 7 of the top 10 countries in medal tally of 2022 Winter Olympics are from Europe.

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Winter Olympics, khelo India Winter Olympics, Indian Army at Winter Sports

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This study has been undertaken to study the Security for Digital Healthcare system. It is important for all health organizations and impersonals. Highly Digitalized Medical Devices and Healthcare apps are significant to patient care, but there is a probability of disruption of valuable data targeted by hackers, so there is need to implement cyber security awareness among medical practitioners and patients. Cyber security in the digital healthcare systems pertain to different types of threats against Innovative Medical devices. One of the aim of this study to identify threats and vulnerabilities and provide cyber security solutions to safeguard health information from hackers.

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Information technology Cyber-attacks, Cyber security, Health care, Key management

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The aim of the present study was to understand the impact of Domestic interpersonal Conflict on the self-efficacy and psychological well-being amongst college going students. The total sample taken for the research was 100, including both males and females falling between the age range of 15 years to 24 years. The tools used to assess the impact were Children's perception of interpersonal conflict scale (CPIC), General Self- efficacy scale and Ryff's Psychological Well-Being Scale. To understand the relationship Pearson moment correlation was used and to analyze its impact on each other, simple linear regression was applied. The findings also showed that there was a significant gender difference for both self-efficacy and psychological well-being. As for the correlation between Domestic Interpersonal Conflict and self-efficacy, it was none whereas for Domestic Interpersonal Conflict and psychological well-being the correlation turned out to be significant. The results of the simple linear regression explained that the level of Domestic Interpersonal Conflict was able to predict and affect the self -efficacy, but not to a very great extent as it was 1.58% and also the effect on psychological well-being was average that is 12.8%. This indicates that to some extent the level of conflict in a family does affect the psychological well-being of the college going students and not the self-efficacy to a greater extent.

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Key Words: Domestic Conflict, Self-Efficacy, Psychological well-being, Children perception, Developmental Delay, Behavioral issues, Family Counseling, Child Counseling, Behavioral therapy process

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VOCAL FATIGUE IS VERY COMMON AMONG PROFESSIONAL VOICE USERS LIKE, ACTORS, SINGERS, AND TEACHERS, THEIR WORK REQUIRES PROLONGED AND EFFECTIVE USE OF VOICE. NURSES ARE CLASSIFIED AS GRADE III PROFESSIONAL VOICE USERS. WHILE MANY PROFESSIONS ARE SUSCEPTIBLE TO CONCERNS WITH VOCAL HEALTH, THE MAJORITY OF RECENT RESEARCH HAS BEEN ON TEACHERS AND SINGERS. LITTLE ATTENTION HAS BEEN PAID TO THE OCCURRENCE OF VOICE RELATED ISSUES IN NURSES. THIS RESEARCH AIM TO STUDY WHETHER NURSES WORKING IN TERTIARY CARE HOSPITAL EXPERIENCE VOCAL FATIGUE AND TO IDENTIFY POTENTIAL RISK FACTORS LEADING TO VOCAL FATIGUE MANIFESTING IN VOICE DISORDER IF NOT ATTENDED TO ON TIME. A TOTAL OF 55 NURSES RECRUITED IN THE STUDY INCLUDING NURSING STUDENTS TO SISTER-IN CHARGE WORKING IN ALL 3 SHIFTS FROM AGE RANGE OF 18 TO 45 YRS. OUT OF 55 NURSES, 9.25% REPORTED SCORES OF >= 24 INDICATING WORSE VOCAL FATIGUE, WHICH IS RELATED TO FACTOR 1 I.E. TIREDNESS RELATED TO VOICE AND VOICE AVOIDANCE. ON FACTOR 2, 31.48% NURSES REPORTED SCORES OF >=7 INDICATING WORSE VOCAL FATIGUE, WHICH INDICATES PHYSICAL DISCOMFORT ASSOCIATED WITH VOICING. FOR FACTOR 3, ABOUT 66.66% NURSES REPORTED SCORES OF <=7 THAT INDICATES NO IMPROVEMENT IN VOCAL FATIGUE WITH REST. SIMILAR FINDINGS HAVE BEEN REPORTED IN NURSES WORKING IN MANGALORE, WHERE THEY REPORTED 33.12% NO VOCAL FATIGUE AND REST 66.88% REPORTED VOCAL FATIGUE IN SOME FORM.

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IDENTIFICATION OF VOCAL FATIGUE IN NURSES WORKING IN TERTIARY CARE HOSPITAL

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MTCNN, ResNet-50, Recall, Precision, F1-score

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The internet and mobile technology have developed quickly and made it possible for us to freely access various music resources. While the music industry might lean more toward certain genres of music. Our current playlists in the music listening apps are static and user explicitly have to change it based on their likings. Music recommendation systems have become a crucial part of the music listening experience. However, most traditional recommendation systems rely on user behavior data or metadata, which fail to capture the emotional content of music. As music has a strong emotional impact on listeners, personalized music recommendation systems that take into account the emotional state of users are highly desired. For this purpose there were two independent models and existing systems, one for detecting the mood from the facial expression that is FER(Facial Emotion Recognition) and another was Music Classification Models which were used to recommend a song. We are attempting to combine these two systems to make efficient and accurate recommendation to the user. So in this project, we are going to develop a system which will capture the real time emotion of user by conversating with user or by other means and based on that emotion related songs will be recommended. We are going to categorize songs into the groups based on the categories like Happy, Sad, Energetic and calm. Then according to the captured emotion from the user, the songs related to that emotion will be recommended. Key factor of the song recommendation is classification of songs based on their acoustic features. In this way, user can listen the songs according to the mood.

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Recommendation System, Facial Emotion Recognition, Interactive UI, Mood based music classifier.

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Anticoagulants are the medicines that prevents blood clots. Anticoagulants are used for prevention and treatment of arterial and venous thromboembolism .This class of medicaments slows down the blood clot by preventing the formation of thrombus. Warfarin is most widely used traditional anticoagulant. Warfarin includes continuous monitoring routine , food and drug interaction , long on set of time and shows high incidence of bleeding . Hence to overcome these problems new Direct Oral Anticoagulants or DOAC's were developed. This also helps in stroke prevention. Rivaroxaban and Apixaban are used for propylaxis of thrombus due to hip and knee surgery. The new anticoagulants provides better compliance to patient. The article aims to better information on anticoagulant drugs and equipped with pharmacology, advantages, challenges and adverse effects.

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anticoagulants, factor Xa , Rivaroxaban, Direct oral anticoagulants , warfarin

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 Abstract

technology field has made a lot about progress recently, & it keeps becoming better. We could only perform specific jobs in beginning because there were only computer systems available, but new technologies have since been created, including machine learning, artificial intelligence, deep learning, & others. In recent years, artificial intelligence (AI) has advanced significantly, & its capabilities are constantly growing. Natural language processing (NLP) is an area where artificial intelligence is used. Natural language processing (NLP) enables users to converse in their native tongue with voice assistants & other computer systems. To address challenges people face while interacting with machines, a variety about voice assistants have been created & are continuously being enhanced for better performance. Various modules, including OS, Pysttx3, speech recognition, date/time, Wikipedia, smtplib, & many others, will be used. Python is being used to create a voice assistant that enables users to complete a variety about tasks without using keyboard. This article's goal is to study intelligent behaviour about voice assistants & how they might be applied to daily tasks, learning, & other objectives.

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voice assistant, windows voice assistant, python voice assistant

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The system designed here is very useful for gardens, plantations where huge trees exist. In such places availability of solar energy may be difficult due to the shadow of trees, therefore solar lamp posts may not function properly. To overcome this problem, here in this project work, movable solar lamp post is designed, which moves towards sunlight. The main advantage of using this kind of technology is that the lamp post along with its accessories can be moved to a particular place where solar energy is available, this is essential in day time for charging the battery. The other advantage is that the panel can be positioned towards the Suns direction, there by maximum power can be utilized from the panel. The third & important feature is that the lamp post can be brought to a specific place where light is required in the nights. To perform all these activities, the system designed can be used. To prove the theme practically, a prototype module is constructed with lower rating electrical devices, which can be used for real applications. The lamp post arranged over a wooden chassis moves in singular direction freely. The chassis is equipped with 3 wheels and a DC motor connected to the front wheel. This DC motor drives the chassis. The solar lamp post contained with Solar panel, huge battery, lamp dome with high glow LED's, logic circuit, charging circuit, etc. is designed as totally automatic. The light will be activated automatically during the dark, & it will be switched off automatically in the morning. To achieve this, panel potential is monitored continuously. The battery is charged at constant voltage so that it is protected from over charging. Similarly, the battery voltage is also monitored & protected from deep discharging. When the battery voltage falls down by 9V, immediately load will be disconnected. The control circuit is designed with Atmel AT89C51.

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Solar Lamp, Microcontroller (AT89C51), Light Emitting Diode (LED), DC Motor

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To be able to increase the effectiveness of logistics operations and guarantee the security of people and assets, the paper suggests an Internet of Things (IoT)-based Logistic Tracking, Goods Theft, and Fire Safety System. The system monitors the logistics process and looks for fire hazards and probable theft of items using a network of sensors and smart algorithms. The car tracking system has the ability to locate the vehicle, detect gas leaks, spot fires, and report vehicle accidents while simultaneously sending an SMS alert message to the owners of the vehicle over a GSM network. This system can be built as a backup compartment inside the vehicles to deter theft, make it simple to locate them, and guard against other disaster-related problems. The device's primary methodology is using the Internet of Things to track the movements of vehicles, detect fires, and respond quickly with a goods theft detection system

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Iot , vehicle maintenance, tracking,theft detection,fire safety system

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This paper deals with pros and cons of social media in different spheres of life. It is explaining the effect of social media on the mind of youths and kids and suggesting the steps that can be implied by the parents to control the watch time or screentime of their children. It also explains the strategies that can be implied using social media as an effective marketing tool. It is suggesting the ways, social media is affecting the lifestyle of people as a whole.

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Social Media, Positive, Negative, Impact, Mental Health, Marketing, Youth, Kids, Parents

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This playlist transfer web app is a platform designed to easily transfer music playlists from one music streaming service to another. This web app allows users to select their current music service, select their desired destination service, and transfer their playlists with just a few clicks. The app currently supports transfer of playlist from Spotify to Youtube Music. This app is ideal for anyone who wants to switch to a new music streaming service or who wants to make a backup copy of their playlists. This playlist transfer web app allows users to save time and effort and enjoy their music seamlessly across multiple platforms.

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playlist,transfer,Spotify, YouTube Music

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A process is defined as transformation of set of inputs into desirable outputs. Inputs can be materials, methods or operations whereas outputs can be services, information or finished products. For survival of any organization and its success in the corporate world, it needs to monitor and improve the quality of its product. Quality can be defined as fitness for use and meet customers' needs by possessing desired characteristics of the product. Control is the major of performance of the process so that corrective action can be taken, wherever necessary, to improve the quality. Process control aims at producing error free products. In other words, it prevents the production of defective products. Statistical Process Control (SPC) is basically a strategy for decreasing variability in products in terms of quality. SPC methods are supported by management to provide objective by means of controlling quality in any transformation process. SPC techniques may be used to measure the degree of variation of any manufactured product, services or processes. SPC tools to extract maximum information from data. In this paper we shall discuss various methods used for collecting, presenting and analyzing most of the data related to attributes.

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Statistical Process Control, Attribute, Flow charts, Cause & effect, Control charts

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A Nanotheranotic system combines diagnostic and therapeutic capabilities. This combination makes it an ideal tool for personalised medicine. The term comes from thera(py)+ diag(nostics) and it refers to the combination of medical diagnosis and therapy. Nanomedicine is the use of colloidal nanoparticles ranging in size from 1 to 1000nm in size. They are made of macromolecular materials/polymers/carbon nanomaterials/metallic and inorganic nanoparticles that adsorb, bind, trap, and encapsulate diagnostic and therapeutic agents at cellular and molecular levels for diagnosis and treatment. In popular, the precise residences of nanoparticles are used to achieve biomarker identity and drug transport. Nanotheranostics can be implemented to discover and goal imaging biomarkers non-invasively and to develop therapy based on biomarker distribution. This is a large and hopeful position theranostics need to fill. On this evaluate, we've got mentioned how nano materials are designed and customized for nanotheranostics of covid-19,cancer and other sicknesses.

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Nanotheranostics, nanomaterials, cancer, neurodegenerative diseases, autoimmune diseases

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Abstract: Landscape painting is a sort of magic in which one creates a whole world on a two dimensional plane. It is a form of art which uses elements of Nature as primary subject. Landscape painting was unknown in the ancient world. Earlier it was only used as background. Human's inherent admiration of natural beauty is the driving force behind the creation of landscapes. Himachal Pradesh is full of rich culture, heritage and natural beauty. Situated in the lap of Himalayas, this land offers a lot especially to the artists. With the passage of time, rapid construction and development is taking place and landscapes of Himachal Pradesh are changing. For example, old Mud houses are now being replaced by cemented houses. From the point of view of preserving rich cultural heritage and appreciating what nature is offering us, Landscapes becomes an important form of art to be studied. Landscapes by Artist A.R.Gautam are best examples of purely Himalayan Artworks. Artist developed his unique visual language to represent the beauties of Natural world around him.

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A.R.Gautam, Himachal Pradesh, Himalayan Landscape, Landscape, Nature

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