Volume 11 | Issue 5 |

 Abstract

Russ (Hb) Findings, Variants & Clinical Significance.

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Russ (Hb) Findings, Variants & Clinical Significance.

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In the area of natural language processing, toxicity comment identification is a critical job for locating and classifying objectionable or damaging information in online discussions. The demand for automated solutions to filter out harmful remarks has increased as a result of the extensive use of social media platforms and online communities. An summary of the methods and procedures employed in toxicity comment detection is given in this abstract. There, offensive language and Toxicity, Comments Severe, Toxic Insult will be used often in Text Classification. Predicting the toxicity of cyberbullying systems is our key objective. Natural language processing will be mostly used since it will be simple to obtain accuracy from the dataset. But in addition, we'll utilise machine learning algorithms to categorise whether cyberbullying remarks are poisonous or not. The majority of the articles are concerned with categorising the toxicity in whatever occurs in pertinent searches, and other approaches are also included in the papers. Moreover, certain NLP methods and many models used for tasks detecting cyberbullying have been examined. Using machine learning to identify cyberbullying, the graph, which is based on the studies evaluated, demonstrates that the Tf-Idf is mostly employed either directly or in conjunction with a variety of different approaches for feature extraction. Mainly iam focused in accuracy only.

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Toxicity, Insult, Machine Learning, Natural Language Processing, Cyberbullying

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The detection of helmets and number plates on vehicles is an important task for enhancing road safety and enforcing traffic regulations. In recent years, deep learning-based object detection algorithms have shown promising results for such tasks. This paper proposes a YOLOv5-based system for detecting helmets and number plates in real-time. The YOLOv5 algorithm is a state-of-the-art object detection model that achieves high accuracy and efficiency on various datasets. The proposed system employs a pre-trained YOLOv5 model, fine-tuned on a custom dataset of helmet and number plate images. The system is designed to work in real-time and can process a stream of video frames to detect helmets and number plates on vehicles. The proposed system achieves high accuracy and speed, making it suitable for deployment in traffic monitoring and surveillance systems. Experimental results show that the proposed system outperforms existing state-of-the-art methods for helmet and number plate detection.

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: Python, CNN, Helmet, vehicle

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The National Stock Exchange (NSE) of India serves as the framework for this study's investigation of the effect of business activities on stock returns. From January 2018 to December 2022, secondary data from the NSE website and annual reports of 50 sample companies across various industries are collected and analyzed using a descriptive study approach. The study tests four research hypotheses about the effect of business activities on stock returns using statistical methods including regression analysis, correlation analysis, and ANOVA. The findings show that business decisions significantly increase stock returns. The analysis also reveals that different company activities, such as bonus issues, stock splits, dividends, and merger and acquisitions, have different effects on stock returns. For investors, managers, and policymakers in the Indian stock market, the study's conclusions are relevant.

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Keywords: Corporate actions, stock returns, National Stock Exchange (NSE), India, bonus issue, stock split, dividend, merger and acquisition.

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Data acquisition (DAQ) is a process in which raw transducer signals are converted to computer readable data so that computers can store and manipulate that data. This is done by converting continuous signal in discrete samples and then converting that sampled signal into digital signal using ADC(Analog to Digital Converter). Specialized hardware is used as an interface between the DAQ system and the computer called DAQ card. Data Acquisition (DAQ) is widely used in Research and Development, Quality Control, Testing. DAQ cards can be supplemented with DAQ software. LabVIEW is a commonly used software for DAQ applications. LabVIEW i.e. Laboratory Virtual Instrumentation Engineering Workbench is a software by NI (National Instruments). LabVIEW is a graphical programming language and is widely used by scientists and engineers. This article tries to summarize the recent advancements in data acquisition technology and also explains the utility of LabVIEW software in DAQ applications related to temperature measurement.

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LabVIEW, DAQ

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Students feedback is an effective tool for teacher's evaluation resulting in faculty development. It investigates opinion mining by means of supervised learning techniques to search out the emotion of the students with their different perspective characterized choices of instructing and improve the quality of teaching. The proposed project is designed with a feature that only the students with registered mail having 85 percentage of attendance can give the feedback. The system maintains the feedback given by the students which is confidential and it presents in the form of pictorial representation. The feedback is also sent to the individual faculty member which informs about their strengths and weaknesses in a confidential manner.

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Feedback, Analysis, Evaluation, Performance

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This critical review examines abortion in India, focusing on the laws, access to services, and cultural practices that affect abortion. The Medical Termination of Pregnancy (MTP) Act of 1971 legalized abortion, allowing abortion for up to 20 weeks under certain conditions. Access to approach safe abortion remains an issue, although the law was amended in 2021 to remove some restrictions. Lack of information, inadequate medical care and cultural norms hinder access to services, especially in rural areas. Unsafe and illegal abortions still exist and cause illness and death for parents. Emerging trends such as telemedicine show promise in improving access, but require further development and regulation. Integrating abortion care into primary care and expanding the role of intermediate care providers could fill the shortage of trained staff. Legal reforms, investments in health care and health interventions are necessary to ensure full and equitable access and safety to abortion for all women in India. Observing the health rights of women before birth and using new strategies are important in terms of solving the problems related to childbirth and ensuring justice in the country.

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Abortion, Medical Termination of Pregnancy (MTP) Act, Pregnancy, Contraceptives

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 Abstract

stree jiven avm chandrkiran sonerexa ki khaniya

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stree jiven avm chandrkiran sonerexa ki khaniya

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"Unmanned Ground Vehicle" is built to undertake missions like mine detection as a standalone unit for metal detection as well as in coordination with human beings (manual) wirelessly and it is free of charging because of inbuilt solar panel for battery charging system. It is a prototype illustrating the ever-expanding need for sophisticated technology and precision driven vehicles catering to the present day needs for a first line of defense. A person from a remote place can comfortably control the motion of the robot wirelessly and in situations where manual control is not prudent, the vehicle is capable of reaching the pre-programmed destination on its control.

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Mine Detection Machine

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In the early days of development of the power system, electrical engineers were mainly concerned about 'keeping the lights on'. They designed the power system to withstand outages. The main concern was to prevent the frequency of power system from deviating from 50Hz after outages. With the development in technology, use of gadgets like computers, arc furnaces, xerox machine etc. increased. Due to the use of these devices the load on the power system increases especially during the day time because of which many a times voltage level decreases and is needed to be increased. This task of increasing the voltage profile is done by switching on of a capacitor bank in the power system. But this switching action gives rise to capacitor switching transients. These transients are very hazardous to the power system as they cause severe problem to it and components present in it. For instance, at any moment it can crash the computer or data loss and other such problems. So, it becomes necessary to know the cause of these transients so that they can be suppressed. In this a back to back capacitor bank energization model is simulated in MATLAB Simulink environment. The voltage signals are captured at the source bus and load bus. The FFT analysis is carried out and mitigation of voltage magnification is done using pre-insertion resistors.

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Capacitor switching, maximum transient overvoltage's, power quality (PQ), voltage magnification etc.

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