Volume 11 | Issue 5 |

 Abstract

The popularity of Google's video distribution platform, YouTube, has led to an influx of users. Unfortunately, this success has also attracted a significant number of malicious individuals who aim to promote their own videos or distribute viruses and malware. Due to YouTube's limited comment moderation tools, spam comments increase rapidly, often leading video owners to disable the comment section. Detecting and classifying spam comments pose a challenge as they are usually short, filled with slangs, symbols, and abbreviations. In this research paper, we conducted an evaluation of various high-performance classification techniques to detect and analyze spam comments. Through statistical analysis, we found that Decision trees, Logistic regression, Bernoulli Naive Bayes, Random Forests, Linear, Gaussian, and SVM classifiers are all statistically equivalent in terms of their maximum performance rate, with a confidence level of 99.9%. Hence, it is crucial to find a way to identify and report these comments before innocent users encounter them. To address this issue, we propose utilizing Spyder, a popular data analysis tool, to analyze the data and create well-fitted models for the project. These models can then be used to identify patterns and make predictions, which can be integrated into further algorithms to obtain the desired output. Overall, this paper emphasizes the importance of detecting spam comments on YouTube and presents an evaluation of multiple classification techniques as potential solutions.

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This study focuses on the empowerment of women in the Indian workforce through an examination of their rights under labour laws. Women's participation in the workforce is essential for sustainable economic growth and gender equality. However, gender-based discrimination and unequal treatment persist, hindering women's progress in the workplace. The research aims to identify and analyze the key provisions of Indian labour laws that safeguard women's rights, such as the Equal Remuneration Act, Maternity Benefit Act, Sexual Harassment of Women at Workplace Act, and others. Additionally, it explores the implementation and enforcement mechanisms of these laws to assess their effectiveness in promoting gender equality. The study employs a combination of qualitative and quantitative research methods, including document analysis, interviews with stakeholders, and statistical analysis of relevant data. The findings will shed light on the existing challenges faced by women in the Indian workforce and provide recommendations to enhance women's empowerment through policy reforms, awareness campaigns, and capacity-building initiatives.

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This study focuses on the empowerment of women in the Indian workforce through an examination of their rights under labour laws. Women's participation in the workforce is essential for sustainable economic growth and gender equality. However, gender-based discrimination and unequal treatment persist, hindering women's progress in the workplace. The research aims to identify and analyze the key provisions of Indian labour laws that safeguard women's rights, such as the Equal R

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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The goal of this project is to support the medical sector. The necessity for medicine arises when a person is ill or afflicted with certain diseases. What if there was a programme that would enable users to purchase medications online? The adoption of a digital tracker for medical applications makes it conceivable. The information about which herbal medicines to use to treat a specific disease is also available to users. One of the intriguing applications that can be used in the real world is this one. Utilizing this programme will make finding the right medication simple and convenient. The goal of this project is to create a clinic management system that will be used to address the present issues the neighborhoods clinics is experiencing. A web-based platform system is the digital tracker for pharmaceuticals. The main goals of this project are to use information technology to streamline the clinic's commercial operations and to improve the clinic management software that is currently available.

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Digital Medicine Tracking, Privacy preserving, Medicine, Clinic, Hospital, Doctors, Nearby Medical.

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Introduction : Type 2 diabetes is a chronic disease which is characterized by high levels of sugar in the blood. Aim of the study: are to assess the effectiveness of Buerger Allen exercise in improving the peripheral circulation of lower extremities among patients with type 2 diabetes mellitus in selected areas of south Gujarat and find out the association between the pre-test level of peripheral circulation of lower extremities and selected demographic variable. Method : Quantitative research approach with quasi- experimental design was adopted for this study. A total 60 participants (30 in experimental and 30 in control group) were selected by Non probability purposive sampling technique. Data were collected by using demographic variables, structured assessment tool and ankle brachial index scale. Result : The result reveal that the calculated value of t = 23.46 which is greater than the table value of t = 2.05 in experimental group while in control group the calculated value of t = -4.98 which is laser than the table value of t = 2.05 at the level of p <= 0.05 in structured assessment tool and in ABI the calculated value of t = 17.64 which is greater than the table value of t= 2.05 in experimental group and in control group the calculated value of t = -7.19 which is laser than the table value of t = 2.05 at the level of p <= 0.05. Conclusion: The data shows that in both the tool in experimental group the t value is more than the calculated value while in control group its lesser than the calculated value. Thus there is a significant effect of the Buerger Allen exercise in improving the peripheral circulation of lower extremities among patients with type 2 diabetes mellitus.

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Buerger Allen exercise, peripheral circulation, type 2 Diabetes Mellitus

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Adverse drug reactions (ADRs) are a major source of illness and mortality around the world. We highlight future goals for ADR research in this review, including discovering additional risk factors for ADRs, notably genetic and environmental variables. Advances in genetics and personalised medicine may aid in identifying individuals who are more likely to experience ADRs and tailoring pharmaceutical regimens accordingly. Creating biomarkers that can predict or detect ADRs could improve ADR detection and management. Large datasets can be analysed using machine learning and artificial intelligence to find patterns of ADRs and predict ADRs before they occur. Improved pharmacovigilance operations can aid in the detection and reporting of ADRs. Alternative therapies, such as herbal remedies and traditional medicines, can aid in the identification of probable ADRs and medication interactions. Involving patients in ADR research can aid in identifying patient viewpoints, preferences, and experiences with ADRs. In conclusion, future ADR research should concentrate on identifying additional risk factors, establishing personalised medicine techniques, identifying biomarkers, using machine learning and AI, improving pharmacovigilance, studying alternative medicines, and integrating patients in research. These approaches have the potential to improve drug safety as well as patient outcomes.

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adverse drug reactions, ADRs, risk factors, early diagnosis, pharmacovigilance, detection, reporting, alternative therapies.

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Creative Commons Attribution 4.0 and The Open Definition

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Poor dietary diversity is one of the main reasons of maternal undernutrition and affects development of foetus. Take home ration (THR) which is provided under Integrated Child Development Scheme (ICDS) to improve maternal nutrition is mostly not utilized by pregnant women. Therefore, the present study dealt with development of nutrient rich recipes using THR under snacks, desserts and appetizer categories. Thirty semi-trained panel members who qualified the threshold test performed organoleptic evaluation of the recipes in duplicates using nine-point hedonic scale. Data was also obtained on THR consumption amongst pregnant women. Nine recipes namely Mix veg muthiya, besan chilla, mix veg uttapam, thepla, handvo, namakpara, mixveg cutlets, upma, thalipeeth were developed under snacks. Desserts included five sweet recipes and appetizer included a tomato carrot soup. The salient feature of recipes was incorporation of locally available foods and THR to improve dietary diversity. Mix vegetable cutlets (8.54+0.51) and Shakkarpara (8.23+0.51) received the highest overall scores. Development of manual to educate pregnant women about the THR provided to them and how to use it for preparing the recipes was undertaken. A chart containing various combinations of these recipes to provide the recommended 145g of THR/day to pregnant women was a part of the manual. Cook and store recipes were also developed to ensure sustainability. Development of nutrient rich recipes using THR can help in improving the dietary intakes of pregnant women along with ensuring reduction in wastage of THR.

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Dietary diversity, maternal nutrition, take home ration, nutrient rich recipes

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Creative Commons Attribution 4.0 and The Open Definition

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Theoretical The foetal electrocardiogram (FECG) signal may contain precise information that might assist doctors in making more appropriate and timely decisions while on the job. Fetal pulse checking is a technique for obtaining vital information about a hatchling's health throughout pregnancy and work by recognising the FECG signal produced by the embryo's core. Clinical analysis and biomedical applications are the conclusive justifications for the interest in FECG signal investigation. Congenital heart failure is one of the most well-known birth defects and the leading cause of birth deformity-related deaths. The morphology of heart electrical signs is affected in the majority of people who have cardiovascular problems. The cost of an effective approach for foetal cardiovascular signals can be offset by the successful method for observing the prosperity of the fetal heart. Digital signal processing techniques have played an important role in the extraction of foetal ECG signals. The abdominal ECG IV signal (AECG) is thought to be a nonlinear mixture of the maternal ECG, foetal ECG signal, and various interference signals. The foetal ECG is derived from two signals captured on the mother's skin in the thoracic and abdominal zones. To solve the dilemma of the mother and foetus, we apply the FECG technique to calculate the heart rates of both the mother and the foetus by correlating the signals. We use a toolbox called NI Lab VIEW for this, which allows us to correlate and compare signals using data from the PHYSIONET database.

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Fetal Electrocardiogram (FEEG), QFC, Correlation, Convolution, Mean Square Error.

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This study is deemed important because it analyzed the effects of road widening projects on Tarlac 1st Congressional District. It also provides a way to assessed how well the DPWH has performed in terms of the effectiveness of its duties and responsibilities and the successes of implementing programs, projects, and activities. After that, a proposed action plan to address these problems, issues and challenges, have been made. The study used the descriptive analysis research method in assessing the effects of Road Widening Projects in Tarlac 1st Congressional District in terms of residence, livelihood, road safety, right of way acquisition, local employment, and road improvement. Likewise, it also determined the problems encountered and what action plan proposed to enhance the implementation of road widening projects. The total mean in terms of residence computed weight of 2.03 which described as less affected this means that the road widening has an average effect to the residence. In terms of livelihood with the computed overall mean of 2.43 interpreted as less affected this implies that the respondent's source of income was unaffected by road widening. While, in terms of Road Safety overall mean of 3.08 described as moderately affected, this implies that road safety measures are not well received by road users. Right of way acquisition has an overall mean of 2.18 interpreted as less affected it implies that the DPWH must strictly adhere the right of way acquisition procedure in all projects. In terms of local employment with overall mean of 2.48 interpreted as less affected, this implies that while local laborers are employed, there are only a limited number available position. In terms of road improvement has an overall mean of 3.89 interpreted as much affected, this implies that the respondents are aware of the benefits of road improvement. It shows that the number 1 problem is that inadequate safety devices, signages and barriers during construction. Thus, one of the recommendations is that before the project is implemented, the DPWH may identify and resolved the issue with the right of way.

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Right of way acquisition, Residence, Local Employment, Livelihood, Road Safety, Road Improvement

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Creative Commons Attribution 4.0 and The Open Definition

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Now days, living without electricity is unimaginable, hence it is our responsibility to conserve the energy. However, due to the busy schedule, many of us forgets to turn off the lights/fans and other appliances which are in use. We have to turn them off when this appliances are not in use. This is a big problem in the majority of the country. Over last few years, remarkable progress has been made in educational system. And by bringing new ideas to the sector of consumer electronics. If we have to reduce the energy consumption in our classroom, we have to automate the whole system by using latest technologies. Automation offers many forms of benefit. Our research proves detection of person motion as a parameter to Decide, whether the power supply should be turned on or off. Python is the programming language that we are using. We have completed our working strategy.

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Automation, Raspberry pi, Person detection.

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Creative Commons Attribution 4.0 and The Open Definition