Volume 11 | Issue 4

 Abstract

The mesua ferra young fruit and essential oil is obtained seeds contain a fixed oil, hard peri carp contains tanin,resin is in tears.It dissolve in benzol essential oile is very fragrant, pale yellow and of the odour of flowers.

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 Keywords

Unani Tibbi Name -Nar Mushk, Botanical name-Mesua Ferra Linn, Family-Guttiferae, Synonyms -Mesua Roxburghii, Mesua Coromandalina, English name-Iron wood tree/Conra's safron mesva, Indian Rose Chest nut.

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Due to the rise in population, large number of waste is getting piled up at different places. This kind of unhygienic environment creates a path for the easy spread of diseases to nearby people. It also deteriorates the beauty of nature. This project involves the technology-based solution to resolve the wastes which are increasing day by day. This system proposes a web-based, cost-effective. Recycling is usually done manually by sorting the waste by the human interface. To reduce human interference and to make systems smarter. This project creates a system for gathering and separating garbage into dry and wet. The system is designed with inbuilt sensors to detect and segregate the waste , and place the waste into separate bins designed for dry and wet waste. Bills deduction by RFDL and camera sensor for sending image notification to concerned authority if the trash is disposed elsewhere. An efficient solution for smart and effective trash management using deep learning with Internet of Things (IoT).

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 Keywords

IoT, Raspberry Pi, Dry and Wet Sensors, RFID Reader, Twilio, Things Speak

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 Abstract

The proposed system aims to develop an IoT based wireless electronic notice board that can display messages from a remote location. The system consists of a microcontroller unit that is connected to the internet and receives messages from a cloud-based server. The microcontroller unit is connected to an electronic notice board, which displays the message, announces the message and counts the viewers. The system is designed to be flexible and scalable and electronic notice boards to expand the system's coverage area. The system offers several advantages over traditional notice boards, including ease of use, convenience, and the ability to update messages remotely. IOT based Wireless Notice Board using Arduino is cheap, quick reliable and secured for any organization that requires to circulate notice regularly and reduce physical efforts. Overall, the IOT based wireless electronic notice board is a cost-effective and efficient solution for displaying messages in public spaces.

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 Keywords

: IOT, Microcontroller unit, Arduino, internet, cloud-based server, Wireless noticeboard

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 Abstract

Water is one the most important natural resources, which are important for whole living being. The urbanization development increases the unavailability of the pure water for life. For the removal of above problem use the purified wastewater. There are various treatment process used for wastewater treatment. Out of which adsorption and coagulation/flocculation process have been used. In this process have some limitations. In this paper we have described the use of naturally occurring polymeric materials as adsorbent and coagulants which have been utilized to overcome the above limitations

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Adsorbent, Adsorbates, Polysaccharides, Coagulants

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Music is believed to be the language of emotions, and listening to music is an activity that is part of everyday living. These emotions are referred to as rasa (aesthetics) in ancient Sanskrit literature. Raga which is an important aspect of Indian Classical Music (ICM) has a close relationship with rasa or aesthetics. Lyrics or words in any language are a medium of expressing an emotion or rasa through it. Indian Classical Music has a rich history that captivates listeners and invokes emotions. The ability of music to elicit emotions has been integral to the aesthetics and reception of India's elite raga-based traditions. This model proposes an automated method to analyze and identify the emotion or the sentiment through the lyrics of a poem or song. This method will assist the music composer in composing melodies with the support of the raga framework to enhance the emotion or rasa of the song. This can also assist the music enthusiast to recognize the emotion of the song/poem by reading the lyrics. With the inherent ambiguity of Indian Classical Music, defining the emotions it evokes becomes far more challenging. Due to the nature of Creative interpretations, a single musical performance can elicit a wide range of emotional responses in the audience. One of the most challenging test cases is the categorization of emotions caused by ICM; yet, with significant advances in deep learning, this music emotion detection task is becoming more relevant and robust. Develop classifiers that use textual properties to automatically determine the presence of one or more emotions.

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 Keywords

Emotions Detection, Raga Recommendation, NLP, NLTK, CNN, Collaborative Filtering, Raga, Rasa, Hindustani Classical Music.

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The majority of the population is significantly affected by brain tumours, which are a serious health risk. A primary brain tumour, which can be malignant or non-cancerous, affects 5 out of every 100,000 people each year. The prevention of the disease's progression and the improvement of patient outcomes can both be facilitated by early diagnosis of brain tumours. In this study, we provide a novel deep convolutional neural network (DCNN)-based method for the early diagnosis of brain tumours. The suggested approach entails pre-processing brain tumor-containing and tumor-free MRI scan pictures, followed by the use of DCNNs to automatically detect the existence of a tumour in the MRI data. The DCNNs have a 79% accuracy after being trained on the VGG16 and Inception V3 architectures. The technology streamlines the processes and human interventions necessary for diagnosis, thereby enhancing the effectiveness and efficiency of medical personnel and experts. The promise of DCNNs in the realm of medical imaging, particularly for the detection and management of brain tumours, is illustrated in this research.

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brain tumor, classification, transfer learning, deep neural networks, image recognition, medical imaging, convolutional neural networks, InceptionV3, VGG16.

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In the present period of the slate revolution, faculties' part is largely grueling to make their higher secondary students meet global demands. Educational practices and educational strategies vary grounded on the need of the learners. Technology can be imperative for personalized instruction to bridge the gaps between tutoring and literacy. The preparation of the Tamil language is necessary for profitable growth and social metamorphosis. The Kothari Commission report asserts that if Tamil languages are inadequately tutored and poorly learned, it's a little further than burdening the mind with dead information. It could indeed deteriorate into new superstitions and Arts tutoring needs catching. To understand the real conception of Tamil languages, classical face-to-face tutoring styles may have to be supplemented by innovative styles. Developing e-content is arising to be an innovative system that could help the learners visualizes the content to make them creative and productive learners. The e-contents are developed with the integration of media factors similar to a textbook, audio, videotape, vitality, and image which are set to insure a better understanding of Art by higher secondary students. In that way, e-content on Tamil Prose was developed to chancing its impact on learners. 120 higher secondary students from both genders were taken as a sample. Results revealed that e-content has a positive impact on Tamil language learning among higher secondary students irrespective of gender.

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 Keywords

e-content, Tamil prose, higher secondary level, effectiveness

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Creative Commons Attribution 4.0 and The Open Definition

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Over the past ten years, the demand for fast disintegrating tablets (FDTs) has grown steadily, and the field is now one of the fastest-growing segments of the pharmaceutical industry. For many medications, oral drug delivery is still the preferred method of administration. Scientists have created FDTs that are more patient-friendly and convenient as a result of recent technological advancements. These tablets dissolve or disintegrate in the mouth when placed there without the need of water to be added, making it simple to take in the active pharmaceutical ingredients. The formulation's acceptance and usefulness led to the creation of several FDT technologies. The various formulations and methods described in this review were created to facilitate the rapid dissolution/dispersion of tablets in the oral cavity. This review focuses on lyophilization, molding, sublimation, and compaction-based FDT technologies as well as methods for increasing the FDT features such spray-drying, moisture treatment, sintering, and the use of sugar-based disintegrants.

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Fast Disintegrating Tablets, Bioavailability, Humidity, Superdisintegrents, Fragmented

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Mobile phones are used everywhere in this modern world. The technological advancement has made everything possible under one touch. By using the applications installed in the mobile phones the users can pay any bills and transact their money to anyone at their convenience. Increase in use of mobile phones and internet is the main reason for mobile wallet penetration. This study was carried out to find out the factors that affects consumers preference towards mobile wallet. Using a structured questionnaire primary data was collected from 120 respondents. The factor that affects consumer preference and Impact of demographic factors on consumer preference towards mobile wallet were also analysed.

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Mobile wallet, Digital Payment, Consumer preference

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Creative Commons Attribution 4.0 and The Open Definition

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The corporate government sectors are developed in their different aspects in the organizational sectors. Several countries of the world can evaluate the efficacy of the development strategies of the organization. Social and environmental activities also face challenges in the society of the countries in the world. The methodological aspects can also evaluate the developmental aspects of the corporate government sectors. The empirical findings of the study indicate the productivity improvement of the banking system of the country. The systematic review has included the PICO question in order to assess the notions of the research. Other than that the PRISMA framework has been incorporated into the study for the core data extraction. CASP tool has been used in the process of quality appraisal.

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Corporate governance, regulatory framework, efficacy, government sectors

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Human emotions are not uniform, they are the result of internal and external events that occur around the person. Music lovers and consumers can value music as a great way for people to express themselves. With the development of technology, there are more and more musicians and more and more people who love music, which leads to competition for music selection. Music recommendations have been around for a while, but they were mostly created after learning about users' tastes over time. People's emotions are well studied and invested, which will lead to many applications .Available systems vary by genre, artist, etc. Includes automatic creation of music playlists based on Another way is to manually sort music files into playlists. Recent problems include frequency estimation and similar music calculations. The QBSH (Question Singing and Humming) system determines a song using its content (key and tempo). But the problem with this option is that they take a long time and don't necessarily make the customer happy .The proposed method yielded very good results and paved the way for further research in this area

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 Keywords

Human Emotion, Music, Technology ,Competition, Music Recommendation, Music Playlists, Frequency Estimation, CNN

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Re-entrant corner, varying angle, etab high rise building, seismic analysis, Response spectrum method

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 Abstract

The Mughal women first stepped on the Indian soil back in 1501 when Emperor Babur left Samarkand along with a small band of Timurid-Mughal women to secure a home in Hindustan. Royal Mughal women were an important pillar to build and sustain the Mughal empire in India. Mughal women had an image of beautifully ornated ladies which have been portrayed in the paintings of their era. The status and role of women are often limited to one who stays behind the strong opaque walls of the harem and under the patriarchal protection of the ruler, limiting their contribution solely to the royal household. However, they lead many important spheres like economic patronage, charitable endowments, architecture, and especially trade which enable the Mughal Empire to sail smoothly. The sixteenth and the seventeenth century saw influx of trading activities with the increasing Indian Ocean trade. The Mughal emperors were fond of trade and commerce and participated actively in it. The emergence of trade by the royal ladies of the harem dates to Abkar's reign. Rulers like emperor Jahangir and Shah Jahan were great traders when they were princes. Mughal princesses also didn't stay back in the field. This paper traces and analyses the commercial activities led by the royal Mughal women focusing on Mariam-uz-Zamani, Nur Jahan, and Jahanara Begum. These Veiled traders with their contributions in architecture, poems, charity, writings, and commercial activities, especially trade, left their imprint despite being confined behind the secluded walls. Their lavish lifestyle led to the huge economic growth and developments in the Mughal empire.

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Royal Mughal Women,Trade

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 Abstract

Social media is a channel of contact that uses the internet. Users can engage in conversations, exchange information, and produce content for the web using social media platforms. Most users access social media services through web-based technologies on PCs and laptops, or they download apps for their mobile devices that have social media capability. The fastest-growing social media site is Instagram. It was a success, with over a million users just two months after its debut. Consider how many brand-new goods and services you've discovered on Instagram thanks to friend recommendations or paid social media advertising.

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 Keywords

Influencing, Instagram, Online Shopping, Online Shopping Influencing

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This research paper examines the impact of corporate social responsibility (CSR) on the financial performance of textile industries. The study investigates whether CSR activities, such as environmental sustainability, employee welfare, and community development, affect the financial performance of textile companies. The research uses a sample of textile firms from different countries and analyzes their financial statements and CSR reports over a period of five years. The study employs various statistical techniques, including regression analysis, to explore the relationship between CSR and financial performance. The findings of the research suggest that CSR activities positively impact the financial performance of textile industries. The study provides valuable insights into the role of CSR in enhancing financial performance and encourages companies to adopt socially responsible practices.

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CSR, financial performance, textile industry, sustainability, employee welfare, community development, profitability, market value, investor perception, environmental performance, return on assets, return on equity, net profit margin, corporate social responsibility, regulatory requirements, stakeholder pressure, market demands, secondary data, statistical techniques, regression analysis, descriptive statistics, control variables, ethical considerations.

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 Abstract

: From past quakes it is demonstrated that a large number of construction are absolutely or somewhat harmed because of tremor. Thus, it is essential to decide seismic reactions of such structures. There are various methods of seismic examination of construction. Time history examination is one of the significant procedures for underlying seismic investigation by and large the assessed primary reaction is nonlinear in nature. For such kind of investigation, a delegate tremor time history is required. In this venture work seismic investigation of RCC structures with mass anomaly at various floor level are done. Here for examination different time chronicles have been utilized. This paper features the impact of mass anomaly on various floor in RCC structures with time history and examination is finished by utilizing ETABS programming

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 Keywords

Response spectrum method, Story drift, Base Shear, Story Shear, Story Displacement, Time period, Mode of vibration.

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 Abstract

food is necessary for life. The food we use must be clean, nutritious and without additives to maintain human health. This paper develops an IoT-based detection of food and formalin technology identify formalin using machine learning methods. A volatile compound HCHO gas sensor connected to a Raspberry pi3 was used to extract the formalin content of any fruit or vegetable as a function of output voltage, and various machine learning algorithms were used to classify the fruit or vegetable based on the extract. characteristics. Our system includes supervised machine learning algorithms which accurately predict the correct concentration of formalin at all temperatures, which can also be correctly classified between artificially added and naturally formed form.

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 Keywords

Adulteration, Formalin, Naturally Occurring Formalin, Formaldehyde, Machine Learning, Internet of Things, HCHO Gas Sensor, Raspberry Pi3, Supervised Machine Learning Algorithms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Corporate social responsibility (CSR) has become an essential aspect for businesses as it aims to fulfill their obligations towards society and environment. This paper aims to investigate the impact of CSR on the financial performance of banking companies. A quantitative research method was adopted, and secondary data were collected from the annual reports of six major banking companies in the United States for the period 2016-2020. The results indicate that CSR has a positive impact on the financial performance of the banking companies. The findings suggest that banking companies need to integrate CSR activities into their business strategies to enhance their financial performance.

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 Keywords

- Corporate social responsibility ,Financial performance ,Banking industry, Return on assets ,Return on equity ,Net income ,Integration ,Business strategy ,Quantitative research ,Secondary data analysis ,United States ,Descriptive statistics ,Multiple regression analysis ,Stakeholder relations ,Meta-analysis.

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The evolution in the agricultural field has assisted modern livestock industry to raise up the scale which results in requisite for the management of cow breeding. To breed the cow, monitoring the estrus behavior is one of the important tasks. Estrus commonly addressed "heat". Estrus refers to the progenitive phase of cattle during which ovulation occurs. This is the crucial stage of the reproductive life of cows. During ovulation, artificial insemination is carried out in dairy farms by farmers. The conventional approach to find the phase of estrus is by attaching an electronic device to the cow. This device makes the cow feel uneasy. To overcome this Cowoze is designed. The main goal of this study is to detect the cow in estrus or non-estrus state by using a deep learning algorithm-based approach. Cowoze takes a sequence of images as input. It analyzes the estrus behaviors of cows and helps farmers to recognize cows in estrus phase. This model detects the cows, it's body parts and estrus behavior of cows by extracting a set of discriminative features. The model detects the estrus of cows with an accuracy of 99%.

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Estrus detection, Dairy cows, Image Processing, Deep Learning Algorithm

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 Abstract

Background: Neck pain is a common problem in the general population with prevalence between 10% to 15%. The prevalence of neck pain between 67% to 87% usually seen in middle aged groups. Neck pain is thought to be multifactorial. Women are more affected than men. Objective: This study has been undertaken to compare the immediate effect of myofascial release technique versus strain-counterstrain technique in unilateral trapezitis in women with age group 20-40 years. Materials and Method: 64 subjects were selected with simple random sampling method fulfilling inclusion and exclusion criteria and were randomly divided into 2 groups . Group A receiving Strain counterstrain technique and Group B receiving Myofascial release technique. Result: In Statistical analysis Paired T-test was done and Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI) among Myofascial Release Technique (MFR) was found to be more significant(p value: <0.0001).Unpaired t-test was found to be significant with improvement in Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI) with a mean difference of 2.625, 2.9375, 20.75 respectively in group A and a mean difference of 3.75, 5.125, 26.875 respectively in group B. Conclusion: This study concluded that Myofascial release technique is more effective than Strain Counterstrain technique on unilateral trapezitis in women with age group 20-40 years.

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 Keywords

Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI),Myofascial Release Technique (MFR), Strain Counterstrain Technique (SCS), Myofascial trigger points (MTrPs).

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