Volume 12 | Issue 11 |

 Abstract

Petroleum products contributes major energy source but, it causes environmental pollution and also its cost increases day by day because exhaustible or non-renewable sources. Hence, alternative renewable sources for energy production must increases, which causes less or nil pollution to the environment. Biofuel ethanol reduces the demands of petroleum products. Biofuel ethanol produced by fermentation process with the help of micro-organisms. most common are Sacchromyces cerevisiae. First generation feedstocks like molasses, sugarcane, grains, sugarbeet etc. second generation feedstocks like lignin, hemicellulose, lignocellulose etc., and third generation feedstocks like algal biomass have been investigated. Production of bioethanol influenced by various factors including concentration of sugars, pH, temperature, rate of agitation, strength of Sacchromyces species etc. This review investigate production of bioethanol in sugar industry which depends upon range of feed stocks. Various factors, industrial procedures, advanced steps in fermentation process etc. The main objective here is to study various process, improvement in the ethanol production fermentation by advanced species of sacchromyces cerevisiae to the going situation.

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 Keywords

Bioethanol, Biofuel, Temperarture, pH, Concentration of sugar, Agitation rate, Yeast Zymase, Fermentation etc.

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Home parenteral nutrition (HPN) support has been an advancing therapy in the past 30 years About 25 years ago it became apparent that TPN had value in the management of critically ill patients who were not being normally nourished because they either had gastrointestinal failure or could not tolerate the enteral preparations offered. Total parenteral nutrition (TPN) is a type of medication that provides nutrition to critically ill patients for whom enteral feeding is not possible. TPN is given through I.V route. Parenteral means outside of the digestive tract. TPN may be administered as peripheral parenteral nutrition (PPN) or via a central line, depending on the components and osmolality. TPN administered protein, fats, carbohydrates, vitamins and minerals. TPN plays a vital role in the growth and development of preterm neonates in NICU to provide micro nutrients, macro nutrients and electrolytes. TPN has extended the life of a small number of children born with non-existent or severely birth-deformed guts. Parenteral nutrition plays a major role in treating COVID-19 infection-related malnutrition in patients across the globe. Patients who previously had no options to sustain their lives are now able to live at home, maintain employment, and continue with most daily activities. Although this therapy has been innovative and successful, it requires great financial and professional resources. Parenteral nutrition can be given for long periods of time. A large variety of complications can occur, related especially to the equipment or the nutrients. When the nutrition is given via a central venous catheter, then sepsis is a serious and possibly life-threatening complication. In case of administration via an arteriovenous shunt, thrombosis of the shunt is the most frequent problem.

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 Keywords

TPN; PPN; Malnourishment; PN; NICU; COVID-19

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This study provides a comparative analysis of the financial performance, market positioning, and growth potential of two prominent players in India's non-banking financial sector: L&T Finance Holdings (LTF) and Bajaj Finance. Focusing on key metrics such as revenue growth, profit margins, asset quality, and stock performance, the analysis aims to provide insights into their investment viability. By examining their business models, risk factors, and industry positioning, this research contributes to understanding the competitive dynamics within India's rapidly evolving financial services sector. This comparative study highlights areas where each company excels and explores potential risks and opportunities investors might consider in the current economic climate. Comparative analysis of L&T Finance Holdings (LTF) and Bajaj Finance stocks, key aspects of each company, including their business models, financial performance, stock performance, growth potential, and risk factors. Both companies operate in the non-banking financial services (NBFC) sector in India, but their strategic focus and market positions differ significantly.

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 Keywords

Financial performance , Profitability, Revenue growth, Net interest margin, Comparative analysis

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The volatile and non-linear nature of commercial markets makes accurate forecasting of monetary instruments a challenging task. However, with advances in intelligent systems and computational power, programmable Forecasting techniques have grown more effective in anticipating the behavior of tradable assets. This project leverages three deep learning models to enhance prediction accuracy: a neural network-based regressor model, an ANN that combines prediction data to aid in developing strong, reliable conclusions, and a network of recurrent neurons (RNN) model that analyzes historical asset behavior. The RNN model employs a LSTM layer to capture temporal dependencies effectively. This research explores the practical applications of the prediction system in real-world scenarios and addresses challenges in achieving reliable accuracy, complemented by necessary data visualizations.

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 Keywords

Artificial Neural Network (ANN), Recurrent Neural Network (RNN), Long Short Term Memory(LSTM),Support Vector Regression(SVR)

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The financial markets have undergone a revolution due to the swift development and extensive use of algorithmic trading, which has brought forth a plethora of novel prospects and difficulties. This study explores the complex legal ramifications of algorithmic trading strategies, focusing on spotting and preventing possible market manipulation. Fairness and transparency are fundamental issues that legal scholars, practitioners, and legislators must address because they are ingrained in the intricate algorithms that drive trading strategies. In order to provide a fundamental knowledge of the environment around algorithmic trading and its confluence with market manipulation, this study starts with a thorough analysis of the body of prior research, including academic and legal sources. The study finds weaknesses and shortcomings in the current legal frameworks regulating algorithmic trading through a rigorous assessment. Analyzing the potential legal ramifications of algorithmic trading techniques is at the center of the research. The study examines situations in which algorithmic trading has been connected to market manipulation using case studies and actual evidence. The vulnerabilities in the current regulatory framework are brought to light by this research, which also emphasizes how urgent it is to resolve these problems in order to preserve the integrity of the financial markets. Based on this analysis, the study suggests a set of legislative protections designed to deal with the difficulties brought about by algorithmic trading. Striking a careful balance between encouraging financial market innovation and guarding against manipulative tactics is the goal of these protections. The guidelines provide a sophisticated approach that supports accountability, transparency, and justice while considering the complexities of algorithmic trading methods. Examined closely is the effectiveness of the current regulatory frameworks in reducing the hazards related to algorithmic trading. The identification of obstacles and weaknesses in these frameworks establishes the foundation for the ensuing legislative safeguard proposal. The study explores the need for international collaboration and possible standardization to successfully handle cross-border issues as it relates to algorithmic trading. In the latter section of the study, implementation issues are discussed, acknowledging that realizing the benefits of legal safeguards necessitates overcoming real-world challenges. The discourse extends to technological implications, possible opposition from market players, and the necessity of cooperative endeavors between regulatory agencies and industry partners. The research concludes in a set of best practices and case studies by leveraging insights from successful regulatory activities across countries. For governments tasked with preserving justice and openness in the age of algorithmic trading, these real-world instances provide insightful lessons. In summary, this study adds a comprehensive examination of the legal ramifications of market manipulation to the continuing conversation over algorithmic trading. Considering changing algorithmic trading techniques, the suggested legal safeguards offer guidance to legislators, regulatory agencies, and legal professionals that wish to strengthen and modify the regulatory framework to maintain equitable and transparent financial markets.

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 Keywords

algorithmic trading, financial markets,

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 Abstract

This system consists of 8051 family microcontroller which is interfaced to the metal detector, spy camera and the system also uses battery. The data commands will make the robot to either go in forward, backward, left or right direction. The system makes use of night vision enabled spy camera with the help of which the user can view the area captured by this spy camera which will be mounted on this robot. Thus, with the help of this DTMF technology, the user of this system can operate the robot via data commands send through mobile phone, irrespective of the distance from the robot.

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main ideas

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This paper proposed an interactive dashboard applying deep learning techniques to offer experience in online classrooms. Specific ideas were those of CNNs and GANs to be applied for enhancing student emotions analysis for lectures. With digital learning platforms being more adopted nowadays, understanding the emotional state of students in lectures can have a significant effect on engagement, outcomes, and teaching strategies. This proposed system will address one of the significant challenges of online classrooms, that is, occluded or partially hidden facial data, where missing facial areas are reconstructed by the GAN-based approach, making it feasible to detect emotions accurately. Therefore, CNNs are used to classify the emotion based on the reconstructed facial features. Real-time emotion predictions are visualized through an interactive dashboard that incorporates inputs like the subject, course being taught, and the instructor. It shows a variety of analytics and visualizations like charts and graphs that help teachers track and analyze the responses of students in lectures, which is then used in modifying the teaching strategy and presentation of contents to stimulate students even more and make an atmosphere of learning more vibrant. It can also help in detecting learners who require more support. The CK+ dataset was used for validation. This helped to achieve relatively high accuracy in the classification of images representing happiness, sadness, and surprise. In the experiment, although on some occasions, it occurred that faces from students were not visible, the system worked consistently pretty well and was quite robust. This system will provide a fine level of emotion-based analytics, enabling the educators to work toward optimizing the virtual classroom environment. This real-time emotional feedback can be an enhancing technology for the dashboard and help enhance engagement and tailor experiences to improve general educational outcomes.

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 Keywords

Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), emotion analysis, online learning, interactive dashboard, facial expression recognition, student engagement, deep learning, occluded facial data, real-time analytics, virtual classroom, CK+ dataset, teaching strategies, personalized learning

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 Abstract

Aloe Vera, commonly known as Barbados or Curacao Aloe, is an herbal medicine with along tradition of use by a variety of cultures. The succulent plant grows in arid and subtropical climates and is best known for 2 distinct preparations: the clear mucilaginous gel that is widely used for the treatment of minor burns, especially sunburns, and the thick sap of the leaves that turns yellow-brown and has strong laxative effects that caution its use.

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: AloeVera, Barbados, Dermatology.

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The IoT-based Baby Cradle System is a modern and innovative solution designed to enhance the safety, comfort, and convenience of infant care. This system leverages Internet of Things (IoT) technology to provide real-time monitoring and control of a baby's cradle. A user-friendly mobile application is developed to enable parents and caregivers to monitor the baby's status remotely. The application provides real-time data updates, allowing users to check on the baby's comfort and safety from anywhere. By harnessing the power of IoT, this system provides an effective and modern solution to assist parents and caregivers in taking care of their infants, providing them with the peace of mind they need while attending to other responsibilities.

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 Keywords

Node MCU, cradle monitoring, IoT technology, sound sensor, moisture sensor.

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 Abstract

Amidst modern changes, some practices remain inherent in tribal communities reflecting traditional and customary significance. Luira festival, one of the most popular festivals is one such practice in the Tangkhul Naga tribe bearing great cultural and symbolic identity. It is no exception for Chamu, a Tangkhul Naga village in Kamjong District of Manipur. In the annual Luira festival (Seed Sowing festival), the village Awungawhich, which is hereditary would invoke blessings to mark the beginning of seed sowing. This auspicious role is entrusted only to the village Headman not by the yardstick of modern/western democracy but rather by customary traditional authority. The Awunga established the villages. Therefore, the position represents awe and reverence which denotes the obligation of the villagers. Notwithstanding influences of the modern socio-political system, this exclusive role is retained by the headman. Chamu village has an added uniqueness to the general Tangkhul Naga way of observing LuiraPhanit. Along with Loteah/LuiraPhanit, the village also celebrates Piteah (Yam Sowing Festival) as well. In this festival, instead of the headman, the Village Mantri which is also a permanent and hereditary seat, sow the first yam of the year. This privilege recognizes the clan (Muinao) which partake in the founding of the village apart from Kasarclan. Socio-cultural events such as celebrations, rather than observing such festivals, enunciate, propitiate and protect the structure of traditional authority.

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 Keywords

Luira Phanit (Seed sowing festival), Awunga (headman), traditional authority, customary, modern/western democracy

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Creative Commons Attribution 4.0 and The Open Definition